gemlab-vt.github.io/sample.html at main · gemlab-vt/gemlab-vt.github.io · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Pinar Yanardag, Ph.D. — Generative AI · Virginia Tech</title>
<meta name="description" content="Pinar Yanardag, Ph.D. — Assistant Professor of Computer Science at Virginia Tech. Generative models, image and video synthesis, and interpretability. Director of GEMLAB." />
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link href="https://fonts.googleapis.com/css2?family=Fraunces:ital,opsz,wght@0,9..144,400;0,9..144,500;0,9..144,600;0,9..144,700;1,9..144,400&family=Hanken+Grotesk:wght@400;500;600;700&display=swap" rel="stylesheet" />
<style>
  /* ===========================================================
     Virginia Tech palette
     Chicago Maroon #630031  ·  Burnt Orange #CF4420
     =========================================================== */
  :root{
    --maroon:#630031;
    --maroon-deep:#48001f;
    --maroon-ink:#3a0019;
    --orange:#cf4420;
    --orange-bright:#e5751f;
    --stone:#f4efe9;
    --stone-deep:#e9e1d6;
    --paper:#ffffff;
    --ink:#221d1f;
    --ink-soft:#5c5359;
    --line:#ddd2c6;
    --maxw:1180px;
    --ease:cubic-bezier(.2,.7,.2,1);
  }

  *{box-sizing:border-box;}
  html{scroll-behavior:smooth;}
  body{
    margin:0;
    background:var(--paper);
    color:var(--ink);
    font-family:"Hanken Grotesk",system-ui,sans-serif;
    font-size:17px;
    line-height:1.65;
    -webkit-font-smoothing:antialiased;
    text-rendering:optimizeLegibility;
    overflow-x:hidden;
  }
  h1,h2,h3,h4{
    font-family:"Fraunces",Georgia,serif;
    font-weight:500;
    font-variation-settings:"opsz" 144,"SOFT" 0,"WONK" 0;
    line-height:1.08;
    letter-spacing:-.01em;
    margin:0;
  }
  a{color:var(--maroon);text-decoration:none;}
  p{margin:0 0 1.1em;}

  .wrap{max-width:var(--maxw);margin:0 auto;padding:0 32px;}
  .eyebrow{
    font-family:"Hanken Grotesk",sans-serif;
    font-weight:700;
    font-size:.72rem;
    letter-spacing:.22em;
    text-transform:uppercase;
    color:var(--orange);
    display:inline-flex;
    align-items:center;
    gap:.7em;
  }
  .eyebrow::before{
    content:"";
    width:26px;height:2px;background:var(--orange);display:inline-block;
  }

  /* ============================ NAV ============================ */
  header.nav{
    position:fixed;top:0;left:0;right:0;z-index:100;
    padding:20px 0;
    transition:background .4s var(--ease),padding .4s var(--ease),box-shadow .4s var(--ease);
  }
  header.nav.scrolled{
    background:rgba(255,255,255,.92);
    backdrop-filter:saturate(140%) blur(12px);
    padding:13px 0;
    box-shadow:0 1px 0 var(--line),0 12px 30px -22px rgba(58,0,25,.5);
  }
  .nav-inner{display:flex;align-items:center;justify-content:space-between;gap:24px;}
  .brand{
    font-family:"Fraunces",serif;font-weight:600;font-size:1.18rem;color:#fff;
    letter-spacing:-.01em;transition:color .4s var(--ease);white-space:nowrap;
  }
  .brand .dot{color:var(--orange);}
  header.nav.scrolled .brand{color:var(--maroon);}
  nav.links{display:flex;gap:30px;align-items:center;}
  nav.links a{
    font-size:.82rem;font-weight:600;letter-spacing:.03em;color:rgba(255,255,255,.85);
    position:relative;padding:4px 0;transition:color .3s var(--ease);
  }
  nav.links a::after{
    content:"";position:absolute;left:0;bottom:-2px;height:2px;width:0;background:var(--orange);
    transition:width .3s var(--ease);
  }
  nav.links a:hover{color:#fff;}
  nav.links a:hover::after{width:100%;}
  header.nav.scrolled nav.links a{color:var(--ink-soft);}
  header.nav.scrolled nav.links a:hover{color:var(--maroon);}
  .nav-cta{
    border:1.5px solid rgba(255,255,255,.55);color:#fff;border-radius:999px;
    padding:8px 18px;font-size:.8rem;font-weight:600;transition:all .3s var(--ease);
  }
  .nav-cta:hover{background:var(--orange);border-color:var(--orange);color:#fff;}
  header.nav.scrolled .nav-cta{border-color:var(--maroon);color:var(--maroon);}
  header.nav.scrolled .nav-cta:hover{background:var(--maroon);color:#fff;}
  .menu-toggle{display:none;background:none;border:0;cursor:pointer;padding:6px;}
  .menu-toggle span{display:block;width:24px;height:2px;background:#fff;margin:5px 0;transition:.3s;}
  header.nav.scrolled .menu-toggle span{background:var(--maroon);}

  /* ============================ HERO ============================ */
  .hero{
    position:relative;
    background:
      radial-gradient(1200px 600px at 78% -10%, rgba(207,68,32,.28), transparent 60%),
      linear-gradient(160deg,var(--maroon) 0%, var(--maroon-deep) 70%, var(--maroon-ink) 100%);
    color:#fff;
    padding:190px 0 110px;
    overflow:hidden;
  }
  .hero-grid{
    display:grid;grid-template-columns:1.45fr .9fr;gap:64px;align-items:center;position:relative;z-index:2;
  }
  .hero .eyebrow{color:var(--orange-bright);}
  .hero .eyebrow::before{background:var(--orange-bright);}
  .hero h1{
    font-size:clamp(3rem,6.4vw,5.4rem);font-weight:500;color:#fff;margin:.28em 0 .12em;
    font-variation-settings:"opsz" 144,"SOFT" 30,"WONK" 0;
  }
  .hero h1 em{font-style:italic;color:var(--orange-bright);font-weight:400;}
  .hero .role{
    font-size:1.18rem;font-weight:500;color:#fff;letter-spacing:.01em;margin-bottom:.15em;
  }
  .hero .dept{color:rgba(255,255,255,.72);font-size:1rem;margin-bottom:1.5em;}
  .hero .lede{
    font-size:1.16rem;line-height:1.6;color:rgba(255,255,255,.9);max-width:46ch;
    border-left:2px solid rgba(229,117,31,.7);padding-left:20px;margin-bottom:2em;
  }
  .hero-actions{display:flex;flex-wrap:wrap;gap:14px;}
  .btn{
    display:inline-flex;align-items:center;gap:9px;border-radius:999px;
    padding:13px 24px;font-weight:600;font-size:.92rem;transition:all .3s var(--ease);cursor:pointer;
  }
  .btn-primary{background:var(--orange);color:#fff;}
  .btn-primary:hover{background:#fff;color:var(--maroon);transform:translateY(-2px);}
  .btn-ghost{border:1.5px solid rgba(255,255,255,.45);color:#fff;}
  .btn-ghost:hover{border-color:#fff;background:rgba(255,255,255,.08);transform:translateY(-2px);}
  .btn svg{width:17px;height:17px;}

  /* portrait */
  .portrait-wrap{position:relative;justify-self:center;}
  .portrait{
    position:relative;width:300px;height:368px;border-radius:8px;overflow:hidden;
    box-shadow:0 40px 80px -30px rgba(0,0,0,.6);z-index:2;background:var(--maroon-deep);
  }
  .portrait img{width:100%;height:100%;object-fit:cover;display:block;}
  .portrait .fallback{
    position:absolute;inset:0;display:flex;align-items:center;justify-content:center;
    font-family:"Fraunces",serif;font-size:6rem;color:rgba(255,255,255,.22);font-weight:600;
  }
  .portrait-frame{
    position:absolute;inset:0;transform:translate(18px,18px);border:2px solid var(--orange-bright);
    border-radius:8px;z-index:1;
  }

  /* molecule motif */
  .molecule{position:absolute;opacity:.5;z-index:1;pointer-events:none;animation:float 18s ease-in-out infinite;}
  .molecule.m1{top:8%;right:6%;width:240px;animation-delay:0s;}
  .molecule.m2{bottom:-4%;left:4%;width:180px;opacity:.32;animation-delay:-7s;}
  .molecule.m3{top:46%;right:40%;width:90px;opacity:.28;animation-delay:-12s;}
  @keyframes float{0%,100%{transform:translateY(0) rotate(0);}50%{transform:translateY(-22px) rotate(6deg);}}

  .hero-stats{
    position:relative;z-index:2;margin-top:78px;
    display:grid;grid-template-columns:repeat(4,1fr);gap:8px;
    border-top:1px solid rgba(255,255,255,.18);padding-top:34px;
  }
  .stat .num{font-family:"Fraunces",serif;font-size:2.5rem;font-weight:500;color:#fff;line-height:1;}
  .stat .num span{color:var(--orange-bright);}
  .stat .lab{font-size:.78rem;letter-spacing:.08em;text-transform:uppercase;color:rgba(255,255,255,.62);margin-top:8px;}

  /* ============================ SECTIONS ============================ */
  section{padding:104px 0;position:relative;}
  .sec-stone{background:var(--stone);}
  .sec-head{max-width:760px;margin-bottom:56px;}
  .sec-num{
    font-family:"Fraunces",serif;font-style:italic;color:var(--orange);font-size:1.05rem;
    margin-bottom:14px;display:block;
  }
  .sec-head h2{font-size:clamp(2.1rem,4vw,3.1rem);color:var(--maroon);margin-bottom:.35em;}
  .sec-head p{color:var(--ink-soft);font-size:1.12rem;}

  /* About */
  .about-grid{display:grid;grid-template-columns:1.7fr .7fr;gap:64px;align-items:start;}
  .about-body p{font-size:1.08rem;}
  .about-body p:first-of-type{font-size:1.3rem;line-height:1.5;color:var(--maroon);font-family:"Fraunces",serif;font-weight:400;}
  .factcard{
    background:var(--paper);border:1px solid var(--line);border-radius:12px;padding:30px;
    box-shadow:0 30px 60px -45px rgba(58,0,25,.45);
  }
  .factcard h4{font-size:.78rem;letter-spacing:.16em;text-transform:uppercase;color:var(--orange);margin-bottom:18px;font-family:"Hanken Grotesk",sans-serif;font-weight:700;}
  .factcard ul{list-style:none;margin:0;padding:0;}
  .factcard li{padding:13px 0;border-bottom:1px solid var(--line);font-size:.96rem;}
  .factcard li:last-child{border-bottom:0;}
  .factcard li strong{display:block;color:var(--maroon);font-weight:600;font-size:.92rem;}
  .factcard li span{color:var(--ink-soft);font-size:.9rem;}

  /* Research cards */
  .research-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:26px;}
  .rcard{
    position:relative;background:var(--paper);border:1px solid var(--line);border-radius:14px;
    padding:36px 30px 32px;overflow:hidden;transition:transform .4s var(--ease),box-shadow .4s var(--ease),border-color .4s var(--ease);
  }
  .rcard::before{
    content:"";position:absolute;top:0;left:0;right:0;height:4px;
    background:linear-gradient(90deg,var(--maroon),var(--orange));transform:scaleX(0);transform-origin:left;
    transition:transform .45s var(--ease);
  }
  .rcard:hover{transform:translateY(-6px);box-shadow:0 36px 60px -40px rgba(58,0,25,.5);border-color:transparent;}
  .rcard:hover::before{transform:scaleX(1);}
  .rcard .rnum{font-family:"Fraunces",serif;font-style:italic;font-size:2.4rem;color:var(--stone-deep);line-height:1;margin-bottom:14px;transition:color .4s var(--ease);}
  .rcard:hover .rnum{color:var(--orange);}
  .rcard h3{font-size:1.32rem;color:var(--maroon);margin-bottom:.5em;line-height:1.2;}
  .rcard p{font-size:.97rem;color:var(--ink-soft);margin-bottom:1.1em;}
  .tagrow{display:flex;flex-wrap:wrap;gap:7px;}
  .tag{
    font-size:.72rem;font-weight:600;letter-spacing:.02em;background:var(--stone);color:var(--maroon);
    padding:5px 11px;border-radius:999px;border:1px solid var(--line);
  }
  .capline{
    margin-top:46px;background:linear-gradient(135deg,var(--maroon),var(--maroon-deep));
    color:#fff;border-radius:16px;padding:40px 44px;position:relative;overflow:hidden;
  }
  .capline h4{color:var(--orange-bright);font-size:.78rem;letter-spacing:.16em;text-transform:uppercase;margin-bottom:14px;font-family:"Hanken Grotesk",sans-serif;font-weight:700;}
  .capline p{color:rgba(255,255,255,.9);font-size:1.05rem;max-width:80ch;margin:0;}
  .capline .mol-bg{position:absolute;right:-20px;top:-30px;width:200px;opacity:.16;}

  /* News timeline */
  .news-list{display:flex;flex-direction:column;gap:0;}
  .news-item{
    display:grid;grid-template-columns:170px 1fr;gap:34px;padding:30px 0;border-top:1px solid var(--line);
    transition:background .3s var(--ease);
  }
  .news-item:last-child{border-bottom:1px solid var(--line);}
  .news-item .when{display:flex;flex-direction:column;gap:4px;padding-top:4px;}
  .news-item .when .badge{
    align-self:flex-start;font-size:.7rem;font-weight:700;letter-spacing:.12em;text-transform:uppercase;
    color:var(--orange);background:rgba(207,68,32,.08);padding:4px 11px;border-radius:999px;
  }
  .news-item .when .date{font-size:.92rem;color:var(--ink-soft);font-weight:600;}
  .news-item .what h3{font-size:1.22rem;color:var(--maroon);margin-bottom:.32em;line-height:1.25;}
  .news-item .what p{font-size:.99rem;color:var(--ink-soft);margin:0;}
  .news-item.feature .what h3{font-size:1.45rem;}
  .news-item.feature .when .badge{background:var(--orange);color:#fff;}

  /* Publications */
  .pub-list{display:flex;flex-direction:column;gap:4px;}
  .pub{
    display:grid;grid-template-columns:64px 1fr;gap:24px;padding:26px 24px;border-radius:12px;
    transition:background .3s var(--ease),transform .3s var(--ease);align-items:start;
  }
  .pub:hover{background:var(--paper);transform:translateX(4px);box-shadow:0 24px 50px -42px rgba(58,0,25,.55);}
  .pub .yr{font-family:"Fraunces",serif;font-size:1.6rem;color:var(--orange);font-weight:500;line-height:1;padding-top:2px;}
  .pub .meta .title{font-size:1.1rem;font-weight:600;color:var(--maroon);line-height:1.35;margin-bottom:.3em;display:block;}
  .pub .meta .authors{font-size:.93rem;color:var(--ink-soft);margin-bottom:.3em;}
  .pub .meta .authors b{color:var(--ink);font-weight:700;}
  .pub .meta .venue{font-size:.9rem;color:var(--ink-soft);}
  .pub .meta .venue em{color:var(--maroon);font-style:italic;font-weight:600;}
  .pub .meta a.doi{
    display:inline-flex;align-items:center;gap:5px;margin-top:9px;font-size:.8rem;font-weight:600;
    color:var(--orange);border:1px solid var(--line);padding:4px 11px;border-radius:999px;transition:all .25s var(--ease);
  }
  .pub .meta a.doi:hover{background:var(--orange);color:#fff;border-color:var(--orange);}
  .pub-foot{margin-top:34px;display:flex;flex-wrap:wrap;gap:16px;align-items:center;}
  .pub-note{font-size:.92rem;color:var(--ink-soft);}

  /* Teaching + Service two-col */
  .two-col{display:grid;grid-template-columns:1fr 1fr;gap:64px;}
  .course{
    display:flex;gap:18px;padding:20px 0;border-bottom:1px solid var(--line);align-items:baseline;
  }
  .course:last-child{border-bottom:0;}
  .course .code{
    font-family:"Hanken Grotesk",sans-serif;font-weight:700;font-size:.82rem;color:#fff;background:var(--maroon);
    padding:5px 10px;border-radius:6px;white-space:nowrap;letter-spacing:.02em;
  }
  .course .ctitle{font-weight:600;color:var(--ink);font-size:1.02rem;}
  .course .cmeta{font-size:.86rem;color:var(--ink-soft);}
  .list-clean{list-style:none;margin:0;padding:0;}
  .list-clean li{
    padding:15px 0 15px 26px;border-bottom:1px solid var(--line);position:relative;font-size:.98rem;color:var(--ink);
  }
  .list-clean li:last-child{border-bottom:0;}
  .list-clean li::before{content:"";position:absolute;left:0;top:23px;width:9px;height:9px;border-radius:50%;background:var(--orange);}
  .list-clean li span{display:block;color:var(--ink-soft);font-size:.86rem;margin-top:2px;}

  /* Contact */
  .contact{
    background:linear-gradient(160deg,var(--maroon),var(--maroon-deep));color:#fff;
    border-radius:22px;padding:64px 56px;position:relative;overflow:hidden;
  }
  .contact .mol-bg{position:absolute;right:-30px;bottom:-40px;width:280px;opacity:.14;}
  .contact-grid{display:grid;grid-template-columns:1.1fr 1fr;gap:50px;position:relative;z-index:2;align-items:center;}
  .contact h2{color:#fff;font-size:clamp(2rem,3.6vw,2.8rem);margin-bottom:.4em;}
  .contact p.sub{color:rgba(255,255,255,.85);font-size:1.08rem;max-width:42ch;margin-bottom:1.6em;}
  .contact .cbtns{display:flex;flex-wrap:wrap;gap:13px;}
  .cinfo{display:flex;flex-direction:column;gap:22px;}
  .cinfo .row{display:flex;gap:16px;align-items:flex-start;}
  .cinfo .ico{
    flex:none;width:42px;height:42px;border-radius:10px;background:rgba(255,255,255,.1);
    display:flex;align-items:center;justify-content:center;border:1px solid rgba(255,255,255,.18);
  }
  .cinfo .ico svg{width:19px;height:19px;stroke:var(--orange-bright);}
  .cinfo .row .k{font-size:.74rem;letter-spacing:.12em;text-transform:uppercase;color:rgba(255,255,255,.6);margin-bottom:3px;}
  .cinfo .row .v{font-size:1rem;color:#fff;}
  .cinfo .row .v a{color:#fff;border-bottom:1px solid rgba(229,117,31,.6);}
  .cinfo .row .v a:hover{color:var(--orange-bright);}

  /* Footer */
  footer.site{background:var(--maroon-ink);color:rgba(255,255,255,.7);padding:40px 0;}
  .foot-inner{display:flex;flex-wrap:wrap;gap:18px;justify-content:space-between;align-items:center;}
  .foot-inner .fbrand{font-family:"Fraunces",serif;color:#fff;font-size:1.05rem;font-weight:600;}
  .foot-inner .fbrand .dot{color:var(--orange);}
  .foot-links{display:flex;gap:24px;flex-wrap:wrap;}
  .foot-links a{color:rgba(255,255,255,.7);font-size:.88rem;}
  .foot-links a:hover{color:var(--orange-bright);}
  .foot-fine{font-size:.8rem;color:rgba(255,255,255,.45);margin-top:14px;}

  /* Reveal animation */
  .reveal{opacity:0;transform:translateY(26px);transition:opacity .8s var(--ease),transform .8s var(--ease);}
  .reveal.in{opacity:1;transform:none;}
  .hero .anim{opacity:0;transform:translateY(22px);animation:rise .9s var(--ease) forwards;}
  .hero .d1{animation-delay:.1s;} .hero .d2{animation-delay:.22s;} .hero .d3{animation-delay:.34s;}
  .hero .d4{animation-delay:.46s;} .hero .d5{animation-delay:.58s;} .hero .d6{animation-delay:.7s;}
  @keyframes rise{to{opacity:1;transform:none;}}

  /* Responsive */
  @media(max-width:980px){
    .hero-grid{grid-template-columns:1fr;gap:48px;}
    .portrait-wrap{order:-1;}
    .about-grid,.two-col,.contact-grid{grid-template-columns:1fr;gap:40px;}
    .research-grid{grid-template-columns:1fr;}
    .hero-stats{grid-template-columns:repeat(2,1fr);gap:26px 8px;}
  }
  @media(max-width:760px){
    body{font-size:16px;}
    .wrap{padding:0 22px;}
    nav.links{
      position:fixed;top:0;right:0;height:100vh;width:min(78vw,320px);flex-direction:column;
      background:var(--maroon);padding:96px 32px;gap:8px;transform:translateX(100%);
      transition:transform .4s var(--ease);align-items:flex-start;box-shadow:-20px 0 60px -30px #000;
    }
    nav.links.open{transform:translateX(0);}
    nav.links a{color:#fff;font-size:1.05rem;padding:12px 0;width:100%;border-bottom:1px solid rgba(255,255,255,.12);}
    nav.links a::after{display:none;}
    header.nav.scrolled nav.links a{color:#fff;}
    .nav-cta{margin-top:14px;}
    .menu-toggle{display:block;z-index:120;}
    section{padding:74px 0;}
    .hero{padding:140px 0 80px;}
    .news-item{grid-template-columns:1fr;gap:10px;}
    .pub{grid-template-columns:1fr;gap:8px;padding:22px 16px;}
    .pub .yr{font-size:1.2rem;}
    .contact{padding:44px 26px;}
    .hero-stats{grid-template-columns:repeat(2,1fr);}
  }
  @media(prefers-reduced-motion:reduce){
    *{animation:none!important;transition:none!important;}
    .reveal{opacity:1;transform:none;}
    html{scroll-behavior:auto;}
  }

  /* white box per paper */
  .pub-list{ gap:14px; }
  .pub{ background:var(--paper); border:1px solid var(--line); border-radius:14px; padding:20px 22px; }
  .pub:hover{ transform:translateX(4px); box-shadow:0 24px 50px -42px rgba(58,0,25,.55); }
  /* visible in-text links on light sections */
  .about-body a, .sec-head a, .two-col a{ color:var(--orange); border-bottom:1px solid rgba(207,68,32,.4); transition:color .2s ease, border-color .2s ease; }
  .about-body a:hover, .sec-head a:hover, .two-col a:hover{ color:var(--maroon); border-color:var(--maroon); }

  .rcard .tagrow a.tag{ text-decoration:none; border-bottom:0; cursor:pointer; }
  .rcard .tagrow a.tag:hover{ background:var(--maroon); color:#fff; border-color:var(--maroon); }

  .capline a{ color:#fff; border-bottom:1px solid rgba(229,117,31,.75); }
  .capline a:hover{ color:var(--orange-bright); border-color:var(--orange-bright); }

  /* recent talks */
  .talk-list{ display:flex; flex-direction:column; gap:14px; }
  .talk{ display:grid; grid-template-columns:120px 1fr; gap:20px; align-items:baseline; background:var(--paper); border:1px solid var(--line); border-radius:14px; padding:18px 22px; transition:transform .25s var(--ease), box-shadow .25s var(--ease); }
  .talk:hover{ transform:translateX(4px); box-shadow:0 24px 50px -42px rgba(58,0,25,.55); }
  .talk .t-when{ font-family:"Fraunces",serif; font-style:italic; font-size:1.1rem; color:var(--orange); }
  .talk .t-title{ font-size:1.08rem; font-weight:600; color:var(--maroon); line-height:1.35; margin-bottom:.2em; }
  .talk .t-where{ font-size:.92rem; color:var(--ink-soft); }
  @media (max-width:760px){ .talk{ grid-template-columns:1fr; gap:6px; } }

  /* interactive maroon gem field (background) */
  #gem-canvas{ position:fixed; inset:0; width:100%; height:100%; z-index:0; pointer-events:none; }
  section, footer.site{ position:relative; z-index:2; }
  header.nav{ z-index:60; }
  .sec-stone{ background:rgba(244,239,233,.8) !important; }

  /* white cards for bio, news, and teaching (matching the talk cards) */
  .about-body .bio-card{ background:var(--paper); border:1px solid var(--line); border-radius:14px; padding:clamp(1.4rem,3vw,2rem); margin-top:0; }
  .about-body .bio-card p:last-child{ margin-bottom:0; }
  .news-list{ gap:14px; }
  .news-item{ background:var(--paper); border:1px solid var(--line); border-radius:14px; padding:18px 22px; transition:transform .25s var(--ease), box-shadow .25s var(--ease); }
  .news-item:hover{ transform:translateX(4px); box-shadow:0 24px 50px -42px rgba(58,0,25,.55); }
  .news-item.feature{ border-color:rgba(99,0,49,.28); }
  .two-col>div{ background:var(--paper); border:1px solid var(--line); border-radius:14px; padding:clamp(1.5rem,3vw,2rem); }

  .factcard a{ color:var(--orange); border-bottom:1px solid rgba(207,68,32,.4); }
  .factcard a:hover{ color:var(--maroon); border-color:var(--maroon); }

  .about-statement{ width:calc((100% - 64px) * 1.7 / 2.4); }
  @media(max-width:980px){ .about-statement{ width:auto; } }
#research .sec-head{ max-width:none; }
.t-soon{display:inline-block;margin-left:8px;font-family:'Hanken Grotesk',sans-serif;font-style:normal;font-weight:600;font-size:.6rem;letter-spacing:.1em;text-transform:uppercase;color:#fff;background:var(--orange);padding:3px 8px;border-radius:999px;vertical-align:middle;}
.portrait{cursor:pointer;}
.portrait img.portrait-alt{position:absolute;inset:0;opacity:0;transition:opacity .45s var(--ease);z-index:3;}
.portrait:hover img.portrait-alt,.portrait.show-alt img.portrait-alt{opacity:1;}
.portrait-cap{position:absolute;left:0;right:0;bottom:0;z-index:4;padding:34px 14px 12px;font-family:'Hanken Grotesk',sans-serif;font-size:.82rem;font-weight:600;letter-spacing:.01em;color:#fff;text-align:center;line-height:1.3;background:linear-gradient(to top,rgba(0,0,0,.74),rgba(0,0,0,0));opacity:0;transform:translateY(8px);transition:opacity .45s var(--ease),transform .45s var(--ease);pointer-events:none;}
.portrait:hover .portrait-cap,.portrait.show-alt .portrait-cap{opacity:1;transform:translateY(0);}
</style>
</head>
<body>
<canvas id="gem-canvas" aria-hidden="true"></canvas>

<!-- ======================= NAV ======================= -->
<header class="nav" id="nav">
  <div class="wrap nav-inner">
    <a href="#top" class="brand">Pinar&nbsp;Yanardag<span class="dot">.</span></a>
    <nav class="links" id="navlinks">
      <a href="#about">About</a>
      <a href="#research">Research</a>
      <a href="#news">News</a>
      <a href="#publications">Publications</a>
      <a href="#talks">Talks</a>
      <a href="#teaching">Teaching</a>
    </nav>
    <button class="menu-toggle" id="menuBtn" aria-label="Menu"><span></span><span></span><span></span></button>
  </div>
</header>

<!-- ======================= HERO ======================= -->
<div id="top"></div>
<section class="hero">

  <div class="wrap">
    <div class="hero-grid">
      <div class="hero-copy">
        <span class="eyebrow anim d1">Computer Science · Virginia Tech</span>
        <h1 class="anim d2">Pinar&nbsp;Yanardag</h1>
        <div class="role anim d3">Assistant Professor of Computer Science</div>
        <div class="dept anim d3">Generative Models · Image &amp; Video Synthesis · Interpretability</div>
        <p class="lede anim d4">Building generative AI that's controllable, expressive, and accessible — from steering the latent space of diffusion models to long-horizon video generation. I direct GEMLAB at Virginia Tech.</p>
        <div class="hero-actions anim d5">
          <a class="btn btn-primary" href="#research">
            <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M5 12h14M13 6l6 6-6 6"/></svg>
            Explore the research
          </a>
          <a class="btn btn-ghost" href="https://scholar.google.com/citations?user=qzczdd8AAAAJ" target="_blank" rel="noopener">
            <svg viewBox="0 0 24 24" fill="currentColor"><path d="M12 2 1 7l11 5 9-4.09V14h2V7L12 2zM5 13.18v2.5L12 19l7-3.32v-2.5L12 16.5 5 13.18z"/></svg>
            Google Scholar
          </a>
        </div>
      </div>

      <div class="portrait-wrap anim d4">
        <div class="portrait-frame"></div>
        <div class="portrait" onclick="this.classList.toggle('show-alt')">
          <img src="data:image/jpeg;base64,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" alt="Pinar Yanardag, Ph.D." onerror="this.style.display='none';this.nextElementSibling.style.display='flex';" />
          <div class="fallback" style="display:none;">PY</div>
          <img class="portrait-alt" src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAYEBAUEBAYFBQUGBgYHCQ4JCQgICRINDQoOFRIWFhUSFBQXGiEcFxgfGRQUHScdHyIjJSUlFhwpLCgkKyEkJST/2wBDAQYGBgkICREJCREkGBQYJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCT/wAARCAIwAjADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAgEDBAUGAAcI/8QAQBAAAgEDAwIFAgQDBwMEAgMBAQIDAAQRBRIhMUEGEyJRYQdxFDJCgSORoRUkM1KxwdE0Q2IIcuHwFiU1U4Lx/8QAGwEBAAIDAQEAAAAAAAAAAAAAAAECAwQFBgf/xAAtEQACAgICAgIBAwQCAwEAAAAAAQIRAwQSIQUxE0EiFDJRBiNhcRUkM0KBsf/aAAwDAQACEQMRAD8A8KUA80YIxTajHANOL0PWrGMIdPinBimxRgmpAfHSiHPWgzk0YwO9VAQ60YFCp70YFAcBRDihFFjNAFRYpB0PauBJoAs+1LmhFKvqOKAIfFIRTgXigPSrICAdKKhruT2oBSRTbkUeDQNzQDEp9OPfirLTifwUfPTNVk3TrVlp5/uSD71UErOBVbKMysfmrLHHNVzMu9wepPFWA7Gvo5pxBzQodyccUQ+elVLIcHWlPWkU0pGPvQkBvY0xIgTpT5HPWgb7UAwOKLpR+Weq8+4pDyOhoDgK4UajA55pAp60AOcE11KetJ3xigCUDFLXAc4pQeSPagOxn/muHsK4D5rs7etAJ3peaEk5zRIM9RxQDozgcUGxpMlQSB1p5IyEBbOD0p+3hkKt5Y69aWCIkWD6gacERkztUkjtVraWyeQ7zbRt6A96mWEmjohM0pWUdj+U1BJW2OmiSyluGwuDhR15pyw0ee7AAgwQ3LGrEalaktbwJGmDu471ZjVIbaIx+bt3DJOOlCaEj8N2S7xcy7nYA4jHQ1Jh8J2bpmd3jUjp8e9VU2rPBIPwxDAAsWfnOKjTa9q2oJt/EAKeSQOlBRbXfhfQ1hwlwS2epqrk8MWh3PaXmVA6VXRNexySPNI7KBkZOaSG9kP+KSg9s7aglIeuvC7ou4bi/XgZqlurN7eUqwOB04rR2Gryg7EuN+3kA+33qxYw6tEfLIWX/I3c1FtBowoUjnbXZFXshuLOVoxEu7/I6g5qsuBFcq0kcXlSKcOi9PuBV7KURCOcZpJE2qCOTRFQDknjtXMCV4oBsfNKR3rtpxk0tQACMCg96Mgc0DDH70AJwaBlBPWiP3pFGTmgG3TA602EwDnnNSmjAHXNNHk1NAADjFJjNO7aHAPGKABh/DY4qDNzxVg/pQ9hmoEuM0KsbWnB+9APtRjp0oQEOh96NaFfmnFHagF4xRKOCaHn25ol7/egCHWjFCKMD9qFzs80VCOtF2oQLuJFKlJijXKkGgFA9qNAAScUpBK5BpEBx7mgD6DrQADJoiOe1dj5qbIoE/FcM1zUgpZDEJ5xQnkn3oz8UDcGhJGn4UirLTh/c46rZhwastP/AOkQioIJVVcwxcHnvVp9+KrJQfxBNWJokQDjHanFHNBHx+9Ojiqlhf8A7xXHkfNd3pcigAIokUYHIpDzQEnpnrQDu0Dkd6GWIgZByM0UaNLKsaYJ9qdddpKsMEHmgIgI9qQdCKkSQjblcU1wBzxQANxihGePejcE8g0GcHrQBr0+1KBkUG5ccfvRRgsTzxQB7cjIxigYkYzRrkdaRjmgBAJPI+2KfjVgvIytNRsFyOeKsLSRXVY/LBLcZNLCQsMPmwlju4OB80ZuXtv4Sx4JqfJ5cMAjV1Z+uR0FQ47iGYu886wqoxv9/tVS9URGZtzefJ+wNDbrA7HzeRnPNR738JO+5ZWb2b3pu3lEJ25LoePtQlFrNsgkRrVgxI70zNcyKWeSTccd+gptr5YUkUhVGMBsdKrv7Ut9iwPvkZjxIelCyLaJnlDC3YkgZIPSpNqMOpH5iPUvau0lENlMzbWkB9O0/wCtDHeEKYWwik54HOaNiyVDFcXcrRjgA5yRwBQXSRK7KEeRR1J702195ETlJW8wLjb7iokeqQ3UQWZjE+eoNQAhaQsSY0aI9sGrawmG0KJlMy8hu9VsZNo+ZmL27nhh2pLyEwzRzJyFOcijBrJY4dbt8MNk6DBYdTWck0p7a7JlVv4mUJAxVhYX4lZJFcq3f2q7m23Sgsofvn2NUuhxswVxAgk25J2cEUyqs6HAxV/qkMbzOsmIn/8A7COG+/zUC8t2srFGK8MfzDkGsikYpIqnUrwc5NCftT+C4zSFFP3qxAw2AfvQMfinWUA80IXGcjNQBFVSOlDIoVQVp0MMdKEtk4x1qUBjPFN/l571JJUBgV5pkjNAISCTx1oMYOac20pQgdaAZlBK881BlAJPap82BjB6VDlXPPOKEMirzxTqcimwKcXGKEUF36U6oxTYpxRzQlB556UpPzQ5rgeaEjgINED29+lAvJPvR5oAu1L1FIAaIDFAcvQ1IQjyRnrTQU9eKVRjkHn5oB1nBQKKTbg5HSkRQee9FkZoDutIcUQoHyBmgO/3rh0pMg80vegEJ5oZF/hlycY7e9EeeKbfpQhkaY+nngirPTuLNPbHSqy4yFqz0/8A6SPvQJEpTkc5qtm/6jBHerIHj3qtmwZh161ZBkpQM4+KcQGkcHKYHQUSnd96gkQD1Z7Uv2xSkjA96TGCKgHKcEmhfLc4pfmuBwaASLzBKrK20+4qQzYJBOTTKjEgIOR7U+ygBSep7UBwOQO9NSRKQWBI+KdxgYB6Uq470BDJx1ps9+KlywgktmoZyMigE28DNOxnmgA79KVMlsd6AcYgduaQcg54+a7JHBHPzSHPY8DqKAOBfWXfOwf1q0hEPlBoxgnt3qFFGTjnI781JMqxW7bQqEcAmqNmSCI2oXcduMSMBk4x3NVEt5bTL5cYYuvdjwBTMkqXt0TJIvpJGSelV1zIsMreW+Qe+KmJPslFwrHypmz3Bqw05bi4IAQsfgdaa0TSW1F4y3G49a9c8NeGbW0tkPlZbuSK1s2woG1r60p9nnV7o1xKisY2AxyPeq3U9Dlt7cSqCCvO3HWvcptCglUEoB+1U2peG1lQgKMVrrc/k2npfweT6BrDWNw0U6EpLwfg1bXgQuZISCPandd8IGGTzINy4ySPeqy3uxGFtpvSwOM+9bUMql6NLJglFkovHKDCcKzjv2qBPZiHfHIPzj0n3qx8+IP5cmCP0mlmjjngaCXq3Mb+xrMmYGiPo0ksaCORvOtmHOeq1obe2WSzZVIdSPQ3v8VQaYXimktpBhwcj5q/0qVLWZIWINtPyrf5W9qhslFVFIbaUhG2MDghq0ej6iXUoHCvnO01TeIdLKymZQQj9T7H3qq0u8YXYSVsMOOD396o1ZZG81OziuLbc6+knkr2NUKQna9ixDwEHaD+lquNP1FmmW2lUGTH7H5pL+KMMZVjCSA5IFVUq6JatGMeIxOUwfgmgAIbmrnU4RPF+IjIBzyvtVXtB+9bCZryVDRQAZNAUB+KdcEcA5ptl4qSBt0GBTeece1OlTkZORXA8EBRj3oBlhu6muCjFE4x1FNBiZQO1AL34HFceaPawJ4wKEjpzQDMyLt/3qHKMDg8VOmUYwc8VClBxjFCCIvBpwc00vY96fBK8EUJFA4o19zQDoKNRmgFJzSpkHjmkIyMUSDB5oA14OQeacVCTzQbe4p6JeM55oBVXHWjYCkJrgc0Bw6f6UQFIKLFAcuQTS/1pcHr0rgOcdaAIUJJxS0JJPagBOM8V1cBXYoQcT8Gm3I6U4Rmm3FARbjhDVpp7f3WP7VVXP5SatdP/wClj98UJJI5HTFQWiZnLgekNip+M96hGbaWT3PSpRDJ0ROSewGKbUEHFDEzEZGacjOTyBmgEbrXdqQ/nOaLFQSAeRgU5AEXmRSy+woCMVwDEZ7UA4NklzuU7I+1HJ6nyv5e1MRJlielSDG20EHJoAcDHAzXJ15osH2ptstx0oA5ioGFOTUQxjOetTBAu31Eg1HlBXkdKAERqV5zTPG7AJGOlSl5AUd6SaLYQAuPegG9wYEGjhjZzkcAe/egIUHmpCMwVVOMVDJSFaWO1iaSQgIvX5qruLlr7A/KGPAHYUzqtybif8KhJVOvyaG1kQgR9wMfaqIyFDcyGGVsgH1YJp0SNInQFTUK+kO6TB6SEA0q3O4Ig69OO9Wl6IgvyPVfAGnLLbxyuucdK9T09QI1GKxHgWzMWk25xyVBNb2yQ4HsK4WxJuR6HXilEliP2qPdW2RtUdasEj6ZonjBHIrCmbFGXvdIWeMhl57V594q8JLt8xE2MCSCK9ke23KeM1n9d09ZYWXAx1zWWE2n0YskE12eCxMMMpZllQ7SG7mpk12Y7NRuJBPX/KaZ1eJf7ZnjUgESggfao99vjuJUBIRwCM9Aa7MO1Z5/Iqk0aVYZDZW+oKoLgbJMVMtrZZLZoCeHJkQ5ovD6/ifDxyRuXBIpiEGK425w0Zzj4qW/oRRZ2Fyuo2slhO38dOFz1rI39rLZXjSDscEHjmrLWZvwOrQXsbkZODjoRQ+I4vxyR3sPKSjDjsGFVXRdlxosxmaK5kBwBjf7fertWW+3JJgSLyrDvWK8H60kV09hcnCt6RnvmtFHI+nXQRsvAxBV/aqSXdkxIt/bF5AYyV2k5FV15bfhyJACUYcH59qvL+eMykrtwf61UySyIGiYb4ienWssGYpxK5m/rTTAkHipLwqqh4yWX5HQ+1Rn4A61mMAc0DCFGOBnsajBm3EDpT5JkO92Pt1oVjAlDPkAj+dANO2ODQxRr5oEhwD39qNwGkO3NLLGq4OcnFAJOQzcAhe2aEAbQOBXD18ntRfYYFAMTcKeeKgSncvFT5QCpz2qFLgIWP8AKgISrzTuMjr800vvinFoBxRnntRIcHrQL1xRgUApPxRxISeelCAKcVsZwaAcBx2ox0ptM9+RTowaAUknsKRSaJeK4jpQCjrS9x3pAOM4ox0HNAcDg9KIDJznpQ/OaIdMnrQHGuI4zxSE/vSHpxQCYzXdjXf611AJ3puQ5zxTmMUMpAoQQ7j8lWunr/dI/tVXcjK+9WWn/wDSpn2oSSxkiquQnz+hznirPOwcVWSnE/FWRBPjOIxjrinUAPcUMIUxhicGiON2QeKgkFvS45H7UoOKFjyKVagCEkDgc09Hkx5ZRj5pr/alEjflI47UAgkXzM4496lghUO3DU2kcK25O/8AiE5xiiVcqSePtQHK5+1IGw2KTcAPehfGM9DQBuGQluu6hlxInPWlDsEyBnHf5oFy4PBBPPNAIqBRkkZFPKkTr+YMT81GDA57mjjyQNuDQIXyCmGYAjtUG/vMAxrkY6nsKsZHOMONoHxWS1XUPPuWjjPpU4zWNsyJBSTLHC0gJz2Jpi2n2u7NwdtRL243vsVuEUce/vUe2nL7n6jpzQsNzszFiOST3qTo1uZtSiiOCAcnFMkooZsknsKsPC2nz6jqCRoCrOSCR/lpL9ox/vPSbPxbeWSx22nxCQIACFXdWp0f6jKrJFqEHlMeMkYqqtL3T9Dt44IVjTbwckZP3NOXGp6Vq0LRXEMbHrvyM1znj5P0dWOTj9npllqtrdwiSJgwIp950IyK8bs9ebwbdeu4MumyHCseTGfatJH9SNDmhLi/2nHQitaevJPo28exFrs1useIYNHtWmmKhQOpNeZa742vNWWUxNKlsuRujU9PvQNdnxVdfj75ytihPkQk8MP8xFJreoo1i1va+XDHj8uOtbGPFXs1c+Zv0ecv5kVwty5Y+aSSxOSOe9Tr1DJbJLnJxg/btQ3Kbka1ygk60z5hEKxuSQBjNdGL6OS7bs2/hORFRbVh6LiMEHPxXa/CbC5hbGEdCpYjuKqtMuiumWs8WA8Jx/I1e69Omr6ElxA2Nucg9j3FYpvszQXRm7+Q3FqY3OWDZX5FWenMbrSJoFYF1AKr7VQxlsxiRyOcKx+auNFcabe4lJeKXgkdqn6BQSwfg5/OIww9ec9G9q3H4gX2kF/zYQH5FVmv6ZEkDydQxBXPeqyy1GRES1DDYV2kfFQ/RKXZZWry3FjHlvWM/uKJgJduRjHXNPaRp9zO5WG3aQEEgJycfApZYCm4FiCP0kc0hNXROXDJdsr97J5kIO1CdxHzTbKki88HsakyhQxBXGRyfeo4RcMFOAB0NbKZptUAYwQAW9OO1OOtu0IbzW8wfpI4obeF5WRIjnnnPtRX6RJLsjO7H+tLKkLYwO4460hJU9c96I5xg9qXaW44qQAP5Z5pe3tzXFccZpWDgH08f60BHlAGfaoMqk7vap84AQEDBqFPJtUg9KAhLjijXBHzQgHFGo96gBIMCnBQqtGOtSBeaVaXAxXKD0FAOLnd89qNRigT0mnFOTxQCgmlOc9+K7gNSjk9aAMSt5BgwNpbdk9aQKAPehBwcUefigFHJpe1IoxzRYoDgOCaQ0pOB96HHegBrjx0pSSMfNJz7UApFNv05pzOKZY5OMUBHuD6eKsbDmzix7Yqsu8HgVZ6fg2keBjFASz0xzVVJgXIOMirNulVrDFwG61ZEMtLaRfLYFSFIpVAPbj2oVkQIFxnHtRjaCWTj4qCRtyc9K5SfkVxIYgjPzntSnp1qAcBxnrSHjIpQwCn5pN28kigOj4bA4HSpa4MeMgcVGjUMc88U9k7AD2oBFjYn8vSnoYd7ANxSxH0hcHNW+laC8rC4nPlxdAD3qspUWjGxi00j8RJtWRQvuakXHh+VVx5RPfcFrQE20QRIVTI4GaautdbTkHmFV5xhu9YHkZnjiX2ZgeHwzDAIz3xVrZ+EfLUyTOoXHTOCauE1aC5kMe1QQMkjpVbql9JGxKzBkPQZ6VPNkrGiFeaNa7CPKkK98HmsN4j8OwWym4sWf8AiZ9DdRitW/iV7VdjkgNxk1mdRv5JLgvO+IXyAR2omHEwkcpDybwck4x70cWTGzYwM8AVZ63pxjlM8KjymHDLUC1QO20jjrisqZjaGGdgV7jvWv8Ap/cI2s5XAwuKyt6CPSnFTvCl9Jpmswyohfc2GVepHxUT/YTjVTR6tqPhgXOoxXSMGBOWRzxU658OfirkSRw/hFZQrBcYB9xV7obWmqwLJEyyo2OO4PsfmtFBotuo3OuQB+o1zHmknSOwsMX7PMfGGhRWvh4jcZPLdeR3ycVb6x4Ritvp9JI1nEsogDghfUp+9TdZkt/E+t2uj6eVeytJRLdSr+VmHRR7816PNp0F9oz2kqAq6bCPjFJZGhHEndHkWl6al3odkYi2PLXJUd67VtDF3bRLbxqjxj1Z/VV14UCeG9Rm8O6mVXaxe1kb8rqe2a1V3pUEilkjHTqO9W+R2U+NVTPCJ9Fng1AXMyqABx81TahcLHcSIvGTjGK9Q8WJaaPbzS3DKuPyDua8fvJzcXMkxG1ScrmtvHJs082NQ9F7oM6vHJbSE4kX+Rq50W8KwXml3Pyyfeshotxm/RXJUNxk960JBZ8k7Zl4BPek/ZSK6JaWcc1uYJdoLZ2H2NFoVjLqXm2r581OAT2qOZDIPLBKuRlT7MKutEnFg6XsgAJGH+an6KU7KbxPqclrarYMwE0DeonvVLaJLcT+ahwD7U94oYaz4gnaMHyy44/arKxtfJiAUdsVB2dHS+RqTLvwrrMmjX0E5G4wNlT7Z616B4v1Tw7qfh5NSuoY47pnCLJHwTnrXm8Vm8iAqPVUuSwbUdLmspAQ2C8Zz+VhWll1YzyLIm00ejy6cMmOmhi40uWZHuLESXNuvJZBnaPmq5ocbd52n2rf/RCKXS7K7u75SVuj5YiccbR1p36k+F9GXUIH0opbTzoXaDPB+1Y8Hl4PYetXr7PL7Xi3d4kebqXt3PlyYyCDjvQSBQeCc9TUqaBrOQrLGVdeMHt81Hdg/LDB/wBa7SOHKEoupIbA965yF4FOAJ0IzSSIF6CpKjZJKY744rgWCjceaLaB3zQuR7CgIt0DwS2T7VButvl5yM1NuiNvyKhXAHlGhX7Iqj+VOKDz/wAUiqCOcmnAPioLBL0ox1HvQAU4vWgFAOaICkPWiX55qbASLzR9/ahXBOBR4FAdtz0pV96XoKQfajAQ5NL3ApVGeaQAbjntUAMcV3Nd0rgeamwdjNIV45ogcn5riD7UABABxXDOM1zHnFJ8ZoBKbfrTh98Gm25oQRLgZX71Zafn8LGPiq254BzVnppxbJn2oSSX4T4zUIx5Bf2NSpj6MVC3kTbT/L3qyIZYiRFCrsOSOtEFUlgTxQxyjauVGff2o2GOc1UkaPLcHApVOOMUThc5zhvakGADnrmgBwWIXvUhY+BH6d3Wo5bBzRwOWmDkg9hn2oQciuqlQDuoxDMYsnORUiOTfOy+Ucr396trCw80hnBfvtqsmXirD0XQyVS6ulODysfc1azx3zRFv8JR+VfYUtzdvaqhYqD2APSqS78RyXEwgD9uorA22bMY0SorO4mAlllwfk9KpvEpVIdrT7nHQZzVlbxyThW3su735prVfDzOvmOxORnPzWO+zLxdWU2k66IYTDPkOf1n2qJdaxG9w0JuQ46jmmH0xpi6KDx7VWR6O4uCr4DA1k6KJNGkNsL+KNsNtT26mqrVYFJCEFVXnnqasbW4ntYRExVcdDSXVrNMGlTZIMdjRMhmJuZZ42aJc+UexoLVAJMcZI6e1Wmo2zlzvUq2DiqO2kdHZnJLoeT8VkTKNUFqLNHP6VyAOtJoc5TW7SVjx5gp/U4cRpcryrdQKiRqoEdwgC7WB4+DVpL8Sq/ej6F03Rbe7UTQmS2mPJkgbaT96nyeFpZVAu9Xv54h1jMmAfg4qp8HasLnToZFJwyj+daVL1nkAZsccCvP5JSUmj00IxcUwdJ02101kESpHg4CjitsLmNbRRvAOOaw95YNcSrPGWVx3B6029rqV3tgaVkQnBIPNFJ/ZPBE7xTo2nanbtJLIjTLypB5qjt9N1WJBFDrV3CvQI2Gx+9aXTvCcFlid9zv1y5JpvVdsakcAjoas5yS6KfHF+zzfxf4Qkjga8muZbuQZ9Uhzj7CvLr5Ccoexr3HW7xpNOcONwIwfvXjmqRxpcSZGMnpW7qTcvZo7sEl0QIB5UQYclTxWz0tE1W0hlY+rBBx3PzWPhjZiUUhgTnAq48NX7abfGCUYjkbjPY1uyRzosvLS0WFnEzZUNxnqDQahrAj8y2VCB29qd1VdhEq8xy5AYHoartN0LVNcuTHa2j3DkYIUZA/esM8kYL8mbGLHyYxptvIZXllO5i2c1e2+S3TI6VrdC+jGtSxq95Pb2wPVR6mrVW/0bt41XOpPnv6BWjk8ngj1Z6jWyQxxSZgoEmUelM+2KX8Q8M670wM+1enR/SxYh/B1Fs/+S1A1D6d6jGD6Y7lR3XgiscfKa8nXI6uPcwPq6IPh3R7mOxjkguS24lgrdBk9K8s8daxq8fiy589/Ma3YKgQ8KMdq9W0W6n0B2tbuOQRjlQwwwrxzxJLcy61d3txbyx+dKzLvU/lzx/StHx2rKO3kySXT9M0NiLj2ix0/wAXWOpRLbavF6gceZjDL/zTmoaQ0A/EwsJ7Vvyyx8/sfasz+Ks5v4dxGp+e4qw0vUrrTiEsruOSEnmKXoa9LGVHO2NbFsx7/d/I+AvyKSVy4x0xVqz6bfAFkNldHJZRymfiqp+ZWAYEA446VnUrPM7enPXdSG15HNIRwW64o+Bx3pHwRnpipNQhTAHr06VCu12xnBqwlZR7Ht0qsvAMEA8dakqIOOlGOaErt7UoqpYJcZpztQAGiHB+KAMUQBJxSDHtRLnNAGowc0WKEc+9F0qUAjwoxQ8nHzS896TnI5FGAwW2nH86VQSPVxSc4FOAFu9QBcYA/wB67A4rh1x70p+aA7A9q4+xrh1xSMcDpn3qQCxoa52GaVeeKAQjimcY6Cn2IPHApk0BDujkHrmrHTz/AHeL/wBtVtwcbuKsLHIt4/tUMEqbJXrxUCTImUipzt6OOahBs3KgjjNWRDJ6s23BA5pxNu0Z456nvRF1jI9NIpQKc8ntUEgOVLnFKvyc88U2eG4NKGJzQDgB7jINHEDk4G3HvTWG9+fijEhxhjzQF1aW7OgZkLfPtXW99KJXKPsQErxRafe7UYOrPn+VVktylpNLHIdiOcqT0rXk+zYgkPX+qGU4kcBV/maq7WTdd7x+ZuAKh6jfQLgRN5srHAAqTYIYpEMhBdsdO1UujMlbNhpsTsVcnKDqKttWuYI9OKsQWK8D5qlsfxMqpHB35qyh8N3N9OrXkirCP0r1Nassis3YYm0QvDujfjLea4K4GcLU298CpekSwZSYjPHetRa2iQQrb20J2+4q80/T3ibzZCA2MADsKp8vZm+Do8X1HS5rEGO4i/L3xVJJE1uwMUjFCfy56V7vregR6lC/oA49q8W8UaNdaXcOwicqjeoAc/cVnhmT6NXJrtdohXOkfjbNpUJV845NYeWFoL2SCUBSx5rXi8lSErvLRk8FTyPvWV1Lm+VmJx1ya2IPs1pxpASRyNbsoyYxxzTMjBYRF+9P3N28kflRqcd6ZjhO0Mx61sJ2qNeX8nqP0s1RZ7AQsfVEcYz2r0m/sjdW3mQSmOXbww7GvnTwxrzaFrKNkiJuGFfQWh6ol7axujAqRXF2sThLkdzSzqUeJn7LVdVgvntNTuniGfRMi5VvvWhS+dI4/wD90ig87inNdcW7Wly+6LzIW56ZxUkS6fkN5K49sVjjKLOgsdqytv8AW7+GEfhtSublzwFVP5VD0u11+/Yz6teFIz+WEDn7k1fyTmfC2tsFHvtp0xfhrctIw3YyTVpSVUjHKFGU8TTLYaZjdls9TXjms3W+4BDbjkmt3431YSyNGGzweM1h44IpVZ5Dya3NbG0rOVtzTdISOGQSo6EojAHPannkiuGWQSmKWNscjgmlLpLany2P8NcCqua4ZG4wxyDnFbporo3GkStLJBaatgW8jBi56ce1eiQ/UrRPDVsLTSbDz5F43Y2rn7968y8F6RqviqRLRGxCGyZG6KPivb9B+m2g6Ki3N4qXEo5MkxwoP27V57yWfDGVS7Z2dHG6tmYX6keL9dOLC2aMHosURP8AWn47Xx7fje4u1J7M+BW3n8aeF9HzELqBmHGyBc/6VBb6uaGpKrBdEDvjrXK+XI//ABYjrRdekU0Nj41tGEgF2Mf5ZN1TrX6geINLkWLUYGdOh81Cp/nVjB9WtGbG62uQvvjOKvLPxB4b8TRCMywsX42SjB/rWKc8i7z4ev8ABZzX/vDo6w1vQ/GVv+GniWOdh0YYOfg1534z8OXGi3htLhPOtbgHy5WH5fg1sda8BG1Bv9FZkdPV5Wf9PauOtW/iDwnfR6nFuu7KMnH6j2zW3pZeEueF3H7X8FJS4Y3LG7j9r+DwS9061lV/OgDEHqBg/wA6q28OWjNuR5k/9r9K1d+qbmUEZPf3qq2OhYAZX39q9dCmrPJTzThKkyNY2rWG7ZLK4YYw5zRHJfjj3NObuPfFAWUsSV61mikYMuaeT97s4NgdMigkc54PHtR4xnp74NNO67TxzjipMRGfbtJxnNV12cRnjip8h5AX25FV99jy+B1oVHWGe1cVx2FGvDc0W3cf3qpYaGeOeKMc0hjbPuKVQfnFAGKJaHIFEMkVNAcwR2ogDnkUK596Mc96A7v2rtuCKXHeuA560AuKMdaTHzSnHFKAo96XvQhutFk5oDsnj70cihGKjpQLzwadu3/iAqf04NARmHrINcBxXE5596EcdOlAc3Bpsng5pz702y85NARLkekkfap9l/00Z+KgXRBXGean2RBtosHtUAeY84/eobczAY71M53HB7VF24cPzgnrVkQyeCZFUcnHeiQqW9XGKVVIjBY4+RSKgPJNCRJdpYFeBQYOcEGnJSMgDGaEDIJqAOoUIAQYYd/ehVCWAJGT1roygIJ60QUPKADjJ/lQIubOSOGP1rkLwKrdaaGWN3IGew61ai1QgRpJnjkk1Vatbm2jzhZRnoKwTozxKextoURpmQB8Z6VOtkzKj+wJqt/EFUfcNvwKvNItPMtEl5JatTJKkbmKHZutCgRIIyVGWWtEq+mqjS7SRYUPTC1bxSLEP4jDPt71z5ds68FSLCzXH8qdudTNopSKF7iYj0ov/NVw1B4jhbdnHvUiHVXJ4h2Z6/NI9FpehNM8QS6yFS3tJISrETM44THYe5NDrGgw6jGxKgN71Z28imP0qEGegFRb/Vbe1O12PHtVnL+Cqj12eZ6v4Ijgkkl8raepCjgn3rzHxbYx2tzFgYKkg/Ne+anqVvPGSAw9yRXhXjWdLrXGQMNiZPFbetJtmltRSRRR20gG7OFYZxSQYLMjA+nn709PO0saxjgDuKGHY0cjbtpxxXROW0V72rMzs3AJrdfTnxn+CmGmXkvxGx7/ABWGMshHU4B6jvTMqOhSeNtrg5yOxqMmJZI0xiyvFK0fXemLBqNmrnDZHX3qwh0K0yGMQOema+fvAP1fbSUSz1XcUXgS16nB9V9Fli3JexnA4APNcaWtKEqo7uLbhKPs28tpa2ycRqoH7V5b9Q/FaaeGhgYc+xqP4o+rluIGW3cuxHGK8l1HVbrW53muZMD2rNh13dsxZ9pJUhu71CS7mLvliTnrTTzbJdqcjGaYi9EgIJO7gVanTBe2/mQY3pwce1dKKrpHLbt2QrKYK2wnh6fNkkl7FG4AVjjjvUcW0sUgRlw/Qexo5HmgYOJGRlOKmUbREPZ6pY+KbDwbp8cOn2yy3LKOn5V+TVDq/jLVNZm3Xt1I5J4ijJCj9hWf0Wwu9bvEtrdjubl26gCvY/CvgjTdIiVnhSafu7jJzXLlhxYpcmrZ3sE+MDzSy0rV9ScfhLCXn9RXArU2f021ycDz7mOLI5CjJFeq2cUEf6FUD4qYpUMQnP2qjz/wjM5yfZ5jH9LdTQbo9Uw3yvWqvVNK17w0B+LjFxbKd3nRD1LXsfmZOOSacm00Xto0UsYZWHQiq/M37JhnlF3ZkPAv1HkheC3uZhc2kmF3E5aM/NWfjazGlXh1Gyx+Gvoyr46E4zXmfirQrzwnrJvrSMmzJy6gcCtzpmuweKvAF5Zlx51vEZIW749q1nrKGRZcX/0zua/8kP8A6jBzCGVt5XGfccVDu7UrFypCt+sUulTSSv8AhpTzj0+9XVpCFdop0PkSDHPODXZx5GjzOXFbZj5IjEMc/wDNIOR0wK0GpaV5CEqwZQfbtVGYsFgAcCtyErRoThTG2APBNNPEex5/1p323AZ+KYnc5wpzV0UIk6lTtPB65qtvR6ce9Wkh3ct9qqr44BHzUlGTMnPSiAGKQc0SknpxVS5wbaRkcGnWt9wBVueuKYZWClhjI5qQjFwP81ARjnecn7/FEp4xUryU2ltuW/1qKOHPGKAcVucGnRTan34Jp0EbR70AoOR9qTjniuJwnA5pF4yMcmgCLe2aIc4pMZFEOBQHEYrjnIoh0wa79jQCHjtilPTOKRsEVxG0DuKAEqSCemKEHtSnniuyMYoASMU22SKNsmhbpQEK4PUd6n2oBtox/wCNQbnODj2qfac28fvtqGBwOFOSM4BobdkaEIWGc9PakbByvxUW3cNcBe+cVZEMuhCBCADTAG7hjgCiQOV68e1OoQEwQCe9CRqVP1dSe9ICGIz6QKJyT9qaJJPtioA9+Rd2OKS3DeaGJ4NIHyME5riWMgUEgdcVIRcQRyDBU81LitTdyRwSNgucE46VDsZJCMKy5PHJq40eBhq1tJMoYKThAepxWrl6TNrCrkkUmoeEYLq4xplz5gIyVf3qd4ctGiRYJU2mNtpB+9aptKmicG2gEcg9ZYj+lRhZbLozMB6zu47HvXJllcvZ3Y4Ix7Rp7SJTAMDGOKjyqLeQyMufvUnT5P4YUjrU+S1jnQqyA5GDWNMyqJmrzxFDbRGQmYrnAMaDaT9zUbRvEZ1mRhEC4U4Jx0+x71eX+hpdaedPkt/MgLblCnBBqVoXhuDRrUKlskXYdya2Pw4mKp2SbdWkszIM8DJrOXNxsWa8mGIoz6mIzW6treNrV4wo6VnNQtN9jcWZgSWKXKuDwf2rHBK+y01KujBS/UXTbiV7aGOVlU7WLJgZryHxO5udZu5ohgZytex3vhix0jTJsW6xLnezMckn715Pqnki/uZtwZRwAtb+FK+jn7Ckl+RTRI8dp5kmQT+XPWoMksykqchT2qTNfPcTjj0jhVorm3k5kyMgdK3Ec+RAEzBfL5BBp2TBUjJJOBgUm1QGZiCzc/anrW3BzLJ6FHTNWMaVjhsY5SBCvKjnNPR6c0fqMgTbzgdTQq7qG2qSG4GKGOaaKQmRQRjjNUasyLokyebcQnjAX9R601b27NuUEgEc596es1ubsEelhjnHagl3wNguV7nFU+zJTfYMzRW8SxqTvz+Y0un38tpMQj+lhhh70vnwyDLor49+tMyyKpykYC+5q5U0MlzBNaByAG7Z96rrtHcgqc5H3qBbymXchJ29RVloUBu70RgtjcBj3qG6ReCtnqP000NrPTPP2pHJL6i79RXoUVzHAB5k8cg90rKDQLu40mGC2maJQOq/amvBXhnVrG8VdREbQqWy7Nlnz0rmTSm2daDca6N3HeQTAIhJPvUqO9isvVJwDx0odL06KO4jV+uehq61nQ0uItqrtJHBFa7j3RsqXXZTJrti8u2KSJW/8zg1oNL1FHUrMEKkfmU5zXkM/gXVTqCxSNE8TTb3lyd4HtW78OeFr3TWLxXjPCTxE5zgVacFFWmYYycm7RZeLdFtp9MuC8YaNkOMivnjRtavfC+pvEILg2M7lBkEKcnoDX0rrT7tIkgc4Jwv868N+pGszR20OlJBHuimEuxMegL0/n1q+tK3RljGcfyiKbJZdREtpNEWLcKTg9KvYIVDASYK4wc/5q8q03WryCdzOrRq2QGIwQT3zWx0PWY5ZVSSX82N2ehPxWxNOJqSim+yRrPmWkDxx8knj/21npncLuVSFI5B716Hq+mR3kKJGVY7ehPNYy90q9sy0TIWTqCe1bGDImc3ZwtdlLjIJxio0wbecdO9TZVeMH0cDk1Ddy5bsDW6jnsjNgnkdKq77+melWsrqg5GaqdQYAnHHtmpZUmK3704pHamkBB5xTinJOKqWCB3AjP9KcixuGOooQgJ+9KBjJA/ehI7FLnIxjmhktyfUp71y9Mf/TR7mHINANMuw45o14FOFTL8tTeCp2sMf70AvXoRSjPzXEjGDXA46UARPHWu6ChRsNk0TH260Aac0XT7U2gJ4oiaAQ80rflFduBrm5UCgA+9cVz9q7HNdz7igE7UzKMLTp4pqT3NARLke1T4Cfw8f/tqBcflLdeOKnxHFvER3UUYFCs0rLtJO04xUK1G6cMOnXirlY2t8SSYV9hJA7AiqTTx6+OcmpRVl27AgYIFKkakMcngVwTEQyvNABIpyoNQWHlQEAHqaYdsyHPbijVCDlmIOc0kwO/JA9XOaA4AMM0Z/NtHHHWgRt4YjHFKu5huAHWpIHLXCy7SSO5q702/a3voJkBYxuCB781RKDvLHqelc+ox2bqXmRGB6E5NY8kLRlxz4yPbLLVtM1aSTEyLND6JEz0OO9Vdzc6THqX4OC9iluSpZkDZxWO0LxDZtJJPb3Vv+JuIy1zHI2zaQMBgT1PxXnIvZrXVHdbgGZXLCVD15rixwSlJpo9RhmskemfQlmdpH9Ku7fAAJ715t4I8Xrq4FtckLdIM47P8it5Bc7TzWKcGnTMkY90zQxBWAyBUbU51hi4wOcbj2pq2u93eluoo5xtddyt2NVV+izVA6VrFnGjh5gxzgnNMwT293eTvAwaPNI3huznAG3CnspxQ29pb6Whhi2qoP86uk0ij9mV8e+U6Mj48qGMysvZm6DPxXzxcXAuJLyRPysxA4617N9XNYNrYvJE43OpiYe4NeHWSlomJyEHXnrXS1l1Zytx26GI5wpVAAWHfuTUq9zG25s/lHA7g1Fkty0/moNiDu3en7iQ3sirnjABP2rbRz5AQWnmESuSQw9K0/IokwrkLGnajOIlRQ2AgwDTaJ5m5hlsHv0qHIRjYzK8hlJQkKOg+KbdLi4XzCwwD3q1tLVZoclCWbg+4po2zWLssis6n9OKpyMvxjmiu8auCGCDksB1p6+EMkLKwwW53U9ZX8Qt2tk8yMOeeOKZeBBy8gZenHXPtiqK2y8nSK23sW83Mc6sg5JrhNNIWV4wQDwferH8LKqM0Vnc7RwSIzjNX2heAtZ1pQ4gECcYaU9f2rYUTVcyo8PeGNT16SRLKNCU6qTjJq98D6Lc2viBrS+tninRslWHT5reeFPBz+F5HluLhZJZMA4GAo+a3CeAn1i7h1/T7hZJY02S278N8EHvTJjbi6MmDIufZI0e1CKEIBGO9X8WnwQ+soCcVCt7U2z7XV436EMOamS3IiQ7yB25NcKalGXZ6KNNJoqP7UFvekrbyMc8uOgq1s/FC3lwLOS3lwRkSYwAap5NX05blopLiNXPAx2/erfR9V0yVdiSxPMnxzVaZkcU0W34W3uT/ABEG8DGelORWTQn0flqLNcjO+Nsg1Ks7rfhTmqN2yjTSsga9bebES52xQAyufgDNfON3BcaleXF62JRPIz5zzgngV7j4y1++uNP1PTtF02a9u3DQZXAVMjBPzXiFn4S8Z2DZTRb8qnUGM54ro6uBpW0Xw7eOEqmxpbdNwidRg9m/0qTb2P4BgY13RHqO6n4qQl1BdsLPUrd7W5HUupU/1oi8+kzCK5HnWz8LKP8AetiSOrk1MWxj5RNDDqDOU29No59j7VIwNWs3Y5E0WSD7Edqzd9dtp6xSwnMTj0sOhzT2m6pMhba23zB+1a3Gn0eZ2ISg3CX0V+pwbZiynKsTkfftVFcQ7P8A2nha0t7PGS4ljYg5ww9/eqK5hYjdnhuh+a6WJ9HDypWVT4PpaqbUmJypOAKunUq2GGG9qpNT5dv9KzGuWeAvTnnFGoA6d6CMgck5zTgBHHbrVCUx2NcLmlwc/FCmSuDxTgHPBoWFA5pQPc8V2cZNEozzmgFQYoygbOea5RxnFEP3oBjA8zY+cmlFuxJ5+1ObI3YBzgnpRxM0MhilGQfysKAh4IHqPOaMHNPTxxyYeMgL0x80DRkKBj9qAVPeiYUCdD2pzGRyc0APc+1cTxStxj/SuAoBtuPeuHzSsOaTAoBGwO/WmnGPtTrU05yDQEO6ICkGp0ZzbxAA8qKgXR9PNT/UIIdpwVAxRgtJ1ENnMZWG5lJBP2qh04NvQxjO7vVheSvNakysCwU9Kh6W21YmYcdM+1TEoWwaZG2n1fakDO5xmudniIZTkEdaaVtzdSppRccnLpgkcCm3csAaJsop3SZHzWp0X6b6nqNlHqV7dWel6dKNwnuJBll9wooDOWGn3GoTrb28Ms0r9I4kLE/sKf1HTp9KlFteKILgcGNj6l+4q61v6h2PhNJ9F8FGMArsn1NxmSQ9wvsK8zudWnluJJWuWkmbl3c5LGpFFpqE9/uMaSqqD2HNVMiSj1sCW/1qRDeJPHy4Y46luaIQyuoIYHPsaEkRZBLkMCCvcUHlfiPXHxInBqY0S7cMp3e9MvA6HzYVJYdv81Y5xTOhobHxzp+mTdJvZbW4jmQlJYjkEcV7R4Z8TQ6zaqWYLMuNy14bDdCQ9CpHUHrmr/SdRns5Vnhcq6/PDVo58XI9XCCyx5I95gnUJlT96pfEmq+I47cpo9pG7MOHd/y/tVR4c8Ux3wVXOyXHKk9TWllS4nj8y3Zd3sTxXO4uD7MElTqRgA/1HJMaQFi/Vs4A/etDo82s2MDRaowLqM8NkirOW81ZDtKJx7NXn/jzxXcaPbSRtKrXk+QADytZovm6RizShCN2ZP6n68NT1EW8T5jiOSB3NZCOOYIg3hcnpinSkkha4lBd25ye5qZbWhBLzbGOMAE42108caVHn5ycnZEnijLpCokkb/MeAKhOpjuCqEZ96mW906TOh9ZBODUSUgXBccqefsayGJjsuX9I4GOTUjT5IVbkEr3561Ej3zkog4PU1Litk3LGADWORv62s5q2XKW9vtM9u7gkZxnpUyz0PVNUO5bUpFjPmS/qHxVh4J0Nb67aaZA0EWMA9GNepQafb7F9Gc0hisw7ORY5cUea2/ge4hUyoIpjg7kA7VrvDPhnRJIUuUsI/OQ4bcMlTW0tILe3jKiBSz8ZAp2DQo1mM8SJEz9QowD962I4kjnyyuRVNaQwMV8qMRSDoF71Wf2jJpOsw2uB+HlG5D2x7fer7WrIwWzB1KkeoMPisgLq3uIolLh3jnzGc5PXpWSqMd2bq4hS7hIbhiOOO9OeFNfbRr9Y5WOxvSwNR7S4EqhS3xjPNJfWau+8Z5PtV4uiD1CeK01WFXYCRCMqynkfvWN8U+Gb2GJ5kDXNsBkheq/eg8Ka3LYyi2nkzbucAk/lNPfVTxbLoGgxQWTj8RevtB/8B1P71Gxr48sbrs29XZywlSfRkrSRiCsWlpN8nmphijucefppgYdCvFZe08a3GpXEck22xdMAtajbu+4rZ2uurcL5cxWRWHpcDBP3riy1pL0d6OzJqmPWU/4bCBndO245xWi0nDv57kJEpBJbpmoei6B/aj+Ysi+WD6sGtU9taaVakSbFhReQRnJrNq6PKXKXo1dnd4x4r2M/jLWzh/EJZwRyyMRGqjO4/wCau/CahcASySIjsdxHQms5Drhn1hJ2QeUn5E9hWsXUrSePzFuYwO4Y8iu3DHBnAyTbZndV0XTtTcw6tp8Fw68bnQbv2Nef+NvB1jotm1xZktYkhZYX5KZ6EGtpr2uxx3ZmiDOzYjjUDlyO9ZT6g2eqXvg6WSGGZ7meZGcA+lFBrS2uEU2zqeL3s2HNGn0/aMl4a8LT61enSCd9pKhdJMfk9v61Ebw/c6PdvaXBAeJzyOpr036aeHxodikt3J5t3MoLY6KPYUP1CisYNRhuWCh5U2ycfyryEfLLJt/HDtHf8j/fn+KPH75JWZofXlicZqBgRIY5GZT2I71sL/Q47vfJZ3AWRgRtfoP3rH6tDPbXAWRWRo+CD2+a9PhyxklR5fPilBuyquNrM3XcD1ArPanwWGftV/dPtzzyaz+oc5raRpsuFUFulEBjntSD0miAqpAaninFAppeKdUgGhYNwAnXNdHyAe1JjNGooSH+nIpRjGDXAcUuRzxQDTIM5wPmjJBQMrgDp81zLkUKxBTyKAYCgSMI/UFIJB4NPSN1XkGllhLxsR1/1onhbarjHIoBlc/BpwNgZoEPqwcGnWC9PegGln3sVxTjcDIoFjWMlh1PSkYsehJoAT070oIriDiuAPfmgOYZFNOOKdxjrTcoHUGgIV0cg478VIutzW0eDt2gZqNd8JkVMlTNmnOOBmoYHrhT+CV1xgoeKCzEbWNv6fVzuNKGieywpIdlO5f8tMWcm1duSACMA1ZFfstElO5Y/fuaRSFJBHOaUoWQODk+wps5Iyc8VJY6QYfuBVX4i8Ry21utkkzu2MFdxIUfFWU9ykcEkrjhBkH3rKR6Ne6lMbq4KwB+R5nUjtxSgionupWKRxMWdvb3oHsr5HKsHJ65BrT2OgQQyM8tyjv0G1cVLOnQQk+XHvz3JpRJjBZXg5CsP3qREmowjIklUCr+VpIiSLZT9qEakyAboOPbFKBVpq2ow4DpvXp6hVlY6qt2djAxyf0NI2sW5yJYgPuKae806RtyoFYf5aFqLQxLzKUV5FU7QemaPSrgSjkEEcYPvTcF4hjBxncMDParTw5pMOs+IrK1M/4dLhxHI+P/ALzWvnahFyZ2fGb7xzUJeh9XeJxJHIY3HQir61+pF/oEYXVrK48oj0TBDg16/o/098P6QFMdmk0i/wDclG4k1Ya7o2k6xpc1jqkVv+GkTaS4C7fkGvJvzmHJlUFFtHc2m5q4ezx21+qNtrkv4WwYCdh/3OMf/NYPxhaSpqgvLp5J5WByrDgU3qehJ4G8U3dmwjvokYPDOj8hc8EfNS/FN/Jq2lLeLOXCr5eWHP716XHiikpRPN5cs3LjMzrXkDQAxqVY8MPY1FnuXwyqqkrxknk03YIjkEZPHNTJbBJuRgHHTPU1l9GKiBZhlnG843AnimbqSM7ljQqS44qVPbNbqGbIYHnFOWNl+NulbHEYyc9zUuSqy2PE5zSQ/bWht4R6RubkmnbWE7yQOlSriNQDnI+9daRFULcdeeapdnpcePhCjf8AgG3KWDyOfSzkgVu7eVRtdcECsH4IkL2AiRclWbvWrdwkcccZwR+Y571swdI8pt95WaK0vEaTc/AHerWG9V0A25ArKW85QYbsM1Y2t2PLwH69qzKSZpNNGneKC7jEcyh42GCCOtZrUfpjpZuFutPuDZuCWEZyy5+1WdlcNPPHaI5U43MfYVsrBIotq+WpAGQTzWtn2lHpG7r6cp9s8vfwxq2jusku6aFv+5GCcfepttK2QjHcDxz2r1JbglmTywFz7V479TdWuvCviRUtrMtBcxCVCvQN3qmHaU3TLZ9RwjZZGIhznhRz9qqfFGkTeIfIZbopNaqVRW5Ug1XWfjyC79FwrRuf8wxVtb6xaXL4jdCzcCtrmmakbi7RmNP8Fa5eTMiwRxKjYMjNx+3vW68P+C47NkOo3Ulxg/kX0qKZh1ZrOQYIAHzmpx8VxiPMdukso/Sz4FczbjmfUH0dHDsxa/I3elWdnZeqzh8th7VkPFP4nQ9Zgu7m5nntLpmHrb0qfao9n4l1i8k2LdWdmp/SgMjfzq3UJqNvKmqE3kQGG8zt8gdqrpYNjHLlN9GLZy45Kl7KkSwpZmWPDuWxvNHbyLHGCTyWxwep9qq57Z9CItCGaHJeJj+pT05pyCRY3S7uGJ2j+HGPf3rsJs51FwdJvZZfP3Rwr0LHkqPYVYXUlzbac4jiWW0ETmR2PPAqPo809567g8YwIx2FaCF1nge3niBidSrADqKpkxqcWmXhPjJM8O0f6x2tjZTefbP+JDlYY1OVIzwSak2Gs3Xj2fZJjzZR6B2XvQX30TtI/EF/BLdsLYZktkXqA3PP2P8ApV99LvBaeHL9ri9nEs4JVFHCp8/evG5cmho5JV1Kz2+pmcsTm1fRhUvZ471o2ykkRKOp+9P+MooZ9Itb3ZmUHYcdx81M+oFrDpnjS/KjClxJjpyRWb17VxeJBbRHCLlj/wC6u9rJTUckF0zzeXJ04yMvcuDnCgcVn78Hdtz1NX0546dPaqG+/wAUdetdM5TLzn2olINADwCefj2pQ2D7VUmh0fHNGOtNhgBxTmcUJHFPNOZHuKZTkgYpwjb1oBxaIDI6UAPFOdR7UAAGOTXYz0pTx3pQB1oDgcHFH5hIC8Y9qEjuO9dGuTjFABJEd2VX+VCJB0apYznGOKizxbCSBx/pQAhsnGOKUoMEimt2T8URcqM5+KAFjn70qkAcmgyc81xwOSaFWEVzzmgkwoPNF3pmfk8ULEO5Y7TxViq7olGM+kVW3AO085NW1uuYo8Z/LQDPlrEkzEkkrxUe1GWH3qbdrmJhgciolruRx0xVkVZakEY25247V2Rng54ofxDgbMnB+Kg6jdm3jCBSd5x7DFEWGtS1JY/4NtH582c7QucGquSz1+7Jd9lsvX+I3P8AKpEOpMuI7cBd3dR3p6VPLyZ5N79du7AH3qSSql07V7cGVJEnwMkKeaatvEDxuIrhWjcdQatgLl+I7+3g/wDGNc5/c0l1pS3sDLclZpB0dVw1AHFqEdwvY0R8pwM444rKyi40mUYcvET1/wBjVva3yXEWffvQlE2Wzgf8yA/tUG402D1YUKfcU8LsIc7jigluAylg2fYVDdFkrIBla3jA39+lTdO1qWyuYZ0Yq0bhwfkHNVMsd3LIStu5+QKZZLiL88Tr7GsE2pJxZkgnF3R9G3X1u/E2kK6VbKHZRukm7HHasPrnifVdacve3kki5/IDhf5VB+lXg+88ZCQR3McEFuwDseTz7CvcNF+mnh/Rykj2/wCMuB/3J+efgdBXk9vZ0fGtqvyPZa01LGpHzxrUFwll+L8mUIpwZChxz81T2+pNNYSW3mYWR84r6f8AqfpVtc+AdTgESRp5YPpXGMEV82a1pdtpcQitizDrvbkmuz4vf/V4PkSo8/5JVm/2QLbfbwMQpxjihcssCTCQ5By1DFO0sICNgr1Ap3Z5lqckgk4HHU1vNmol2WNtY3Hie4tNOsI2kubhgoGOnvmvonQfpJ4b0fR4bOewS5nC/wAWZzyWxXz34T1G80aY6hZTm3m2lFcH1Ad/tXoGl/VfxFYt/ebhbyPPKSjPH3rieXw7WaPHXlVHc0NWlzZofE/0Tt7k+bod0YSTzDNyv7Grfwv9JdCs9LWPU7YXV23533HAPxQWH1k0C4hDXkc1tKByuMjP3rP3f1rvUum/s+yt1twfSZMlmHzXAgvLZI/G+q+zoyikJPpcPhfWb/TLVNsSvvTccnaaWO5bnGCayPjLx3caxqdpqNvaLHdMPLmUH0sOxoYdb1KbaI7Ub26kHgV7HXnKOKPyvs8zsa7eR0jam6O9TnsM81Lt9RRXCnaMnsazNpJqM6qrWZZ//FsZqWmkau8u5Yo0U/pJyRWdbUV9mL9FJ/Re2/i0WV9dF7W5MgbauEJBH3reaFrscdnE8tyHEuGz/l+KyFtZ67qVutvJD5eAF8we1Or9P7lMLDdXEWM8q561pbE4vtM6WrDIupI9Mg1qKUBw6qmcAk9awv1K1rSL99NgluIjMrOCB1A+aXSPBuraVdee90+pRdfLlfBBrH+J9USXxHLZ+JdDOmNMf4E45Q46c1k0qc+zD5BOGPoO98PwPFvXDKRkFaqn0OW3G6FyHzng1fac76POmn3UnnWs/wDgTdcE9Bmn5YPw10Ypjgdj811ZRRw4yMzBNf2hJLbwOoPNSoLg3I3byD7Zqxv9PcS+ZCww45FUL5srvkZAPT3qlF0Xkc0lgvmxuVcfyraeGdaTUrRopGG91x+4rI3IW80wSJGo45qu8Pay+n6iqfpyOtWi6Ikjfa3eo9lYwSRCR1lYimbYWkDfiL+RST+VOyiq3Vr5pNZ/gcrHCGVf/Jqr47ZCfxGozlznIjFZIsxtGytvFkcZ2WsIIHsOtanRtWfUIFae2KEnGcVidGnZDuMUdlED6dygs4+1bPT9WM8aqsTBT0bHWsv0UZR/UxzoWnw+JkVpEsjsuEU/njbv9wa8qsfrRHHfz3k9l/dyP4Soec/Jr3DxRpw17wtqunSJ/j2zgD5xxXxjASk0tlN1XI5ribvidfPP5Jx7O74vbaXxt9HpXivxC3ix49bKBHceW6D9IHSsqWIz96HwvdjdNptwciUEKfZh0NG42SlSCcHHNdDWhGEFCPpGLy2HjkWRemQ7klFORiqC4O+5jGOdwFX182eCaonXddxcn84rMzksuV4OaIZxQjk0WQKoWCHA4qQNoTAHNRxwKcU4WgHFO0e9FvLAZ7U2Kcxx7CgHEORj96dDAjIHSmYzgYx170eADjtQBPz1pFBxjFce1CCRyP3FAOjnpXBtjZFCG4rs7vigHMsPvXEk+w+DQ9AeaHIyPvQDE8QVsr/IUGwsg5z8VNlCMoKnJz3pswDAKn+VARCrI2TSMQ3FHNEQCxbv0pkAg9c0Kscz701KRii5oZOlCCFMcgjmrqADy0GeQoqlnJwBxVzCP4a46bRQuJdcRt8Codvw2TzUq4/Ky+4pVs1gjtpd/wDjLuPxViBxV43NVT4hbZDGFP5iePerRmAO3JxVX4gYRwxzFQwXIH3xQIqPPFqpVTiTGC3+X7U0ivMxYsSOpzUWNiRuZsk81MhkVcH+lSWJUVoRg5P3qwtYNpBLE44wDVX+LbjBx9qlRymRcbzz3FAWN3pttqELxSIBu7r1FZO6sbrQLtUkO6Bz6XHQitBZyHdsc4Zehz1qVNbLeRmGYKyHna1SkCijeKQBwNwI4Fb/AMIeBIHtPxmp7UaUAxxk8hffFZ7QfDVodXt0urjybPdls9h7Zr3TS9ItbeNJII4jGRkSE7s/atHbnJKkdHRxRm+TMbL4MtZFxbQSyY7hcCqy78EzRbz+HTGMhW616u00FvG291CnOCeKxmveNNLtpDGjm5lxjbEC5H8q0IuR0pQivZSfSy4h8DahqVzqcwgsbhcgYzhh2rVav9a7KNduk2hmbH+JKcD+VeXa9ql/eWz+Xo90lqzZaZ1IA/aqeGTcuAc4rUz+JwbOb5sqtnQ0acKNTr31A1zxKrWt3dMLaRgDFENoxmqbxTAn4T+B6kTkKRgioO5kPmIMspyPmpOq6iL+yBWMpMFy6H/Wu1q4ceLHxgqRy/MwrJFozFumIiVX1MccdhW4+m30/n8a6iY3k8nT7ZszSZ9R/wDFfmsTblhFlZB+bn4NTrLXr7TpQ0E8kRzn0MQD81h2IzlBrG6Zrayi5/kfVEPgbw7a2KWSaVbtFGNvqQEn5zWc1n6P6HfBmsGksJSc+g7l/ka8z0X6s+IbLYBqXnKuDsmw2RW60f6028yhdWsijd5IOR/KvF7Gj5TXl8mKfI9Li9fiZq7+ieui7EcVzZvAf+6cgj9qurT6GpsButYfd38tABWtH1Q8KvHuN+y/+JQ5qvm+sPhiLIRrmQ/EfFV/XeWmuKjTMjd+zF+MPpT/APj0FvfW18biIyBXV1wRVxo2lQpbRsEABGelOa59SNL8U2aaZbW88cnmK6s+MHFWFlCxhAUAL1ru6k9h4V+p/cc7JCslkmztlVuI1H7Vc2dkpcMRUC2ypAP86traXZir2QXVoqhBwKmoo6jvVbBJlODR/jTGQCalAuYXAAHevLv/AFBtENB04BAZjccEdQMHNegx3OQWB5rxX69eIluNQsdMT1eSpkfnuelbeoryKjT3GljdmM07xfeWdo1pOBcW5HpDHlCOhBrdaR4j0/xZpi2s0ywX8Y/UcFvavH1n3HIoklZW3K21h3Bxiu6eeSPX7K/kgLW1zl9pIDjpiousIpjLqoyO4NefWniO+tWz5pkUcFW7/vVk3jWOSIxy28inHUc1VxLWbbRb0SQPbyMTnjg1mdauG0jVVdnPk4ORjqR3qvsvEdtHdRyJMST1U8VaeIBZ65p7TJOiTRYKjcOfiqtC0W2neJjq8i3NupBaNY0BGCa9C0bw+Nqz3Dq1wR36J8CvKPpRYz6prk0iKRbW0eTuHp3+1e329nbRoDPNLKx7DgVmxrrsxTdOkHZ6QofeEE7e7N0q8svxNvw9viP2HOKrUisFiztkj+VapdvdwWxAjvJD8PzWQoi6hHmqc/lYEEfFfFnjnT30rX70qMeTdSIce2419oWt5HMvUA4ycV8p+NoodV17WHUDbJcybT++Kwy9mxgm4ysx4uSk8F5E20qQTitNqbLM0d2vAnUPj5rH2KFPNtpRgoSpB/pWltH/ABfh9WYlmtpNp+xrAumeg2ofNrcl9EK7bKnnt1qlhBfUoF64bNWdwQQ2OgqusRu1WId81nPNMtFbOBnFGhNNK2e9OAnGe4qhYcGKcUimh0FKW9qAeBHaiH2psMAOBSiTI5oQSFAPA+9GTt6mo6SYpXcOuTwaEjxfPSuzgUyrUe7OaAdU8UQNNb+MZ5pVcd8igHT96TarHJ9qEMTzXLjnLYFAEpXGCDTo2CMsCAFPFMMVzwOB3oJGJOM8DtQEg2gkXeWViRnioNxGISBg809FI0bAgnijlxJHknnNCCBnbzQMx/nSyKVY56U0/TIoRRHnYd+tXcQ9CfKiqCdySeeKvYj/AAlHwDQsddMVRm4z2phL1phFEwG2MYFO3QDI3PbpVdCxExHbNXILR3Dg1Wa4qvpkgJAKkEVPlISJSDyeoqJfQLcWeDnAYbqglRtmQQngluBTnmMTzmgki8m6lgB6E4NEVwaF2qdD8cgIKnvTsFx5LFe2KhhipB6GnZCCoORmhBYrc7lDfzPtUy3vCfSx57H4qogkDAqTwadikKtx1HANSiDRRXBAHG4e1aDR/FV/pETJbXvlxt1SQ5A9yM9KqfDHh3UPEblLaIgLjc56Cr3V/otqd3bFllLSAcDPFa2bPjvjI3MGvlf5RN14XPhbxJGDLeSXV4fzxXE3OfgDjFXtzpuk6VE34e1tYABzhADXynPbap4W1Z4JRLa3Vu/YkHPY19E+EvEFlrHhq21O5RHmMRE7SvwpXgmtXJiruJv4M/Lqf0UXizxJYWdncRT3MaowKqi8lz9q8utieRnj2qs8VXEdzrt7PbOTbtOxj5zhfj4qdZSbkRs8sorJ8fFG/wCO2OcpIlmQqwHzT2syvDEubZ8lcCXONwqJKSOjdOas9SuFOmrFLz6Mqc5xWfGujH5tftZl7d0QFM45zzS3UqpHiMhvmmJwiKrNnI65700ZPODEDCr1NYjj/wCRlJ3jk3oSCOnNX+m6qZEw5Uge/Ws6oZgR1A9qKPKvwSOcCpcUzZ1dyWJ9+jWyXAdvsM9aEyqOQKzw1KS2JUgN80Y1YsvCcn5qFjOv/wAnia7NbobSzanAqHB3Z49q9n05ibdAcg4Ga8K8C6hu1DdKAHRgfuPavebIwtbLKrD1DIrR2lXRRZ1mfKJPjxHjJpw3Xlt6egqLC34iTHtR3pjjiPOCBWlXZLfZodNvoZE5YZp65UOu5SCa8ztPGlvZam1nLuC4/wATsD7GtjZ6zb3CCRJ0Knvu4q0oNFY5Yt0Tbm/OnwSTzMRHGhY/tzXy94p1+fxDr93qMzkea52L7KOn9K9s+qviu00rw9LZ+cPxV0mxFHUjua+eZDnJHTtXS8fjpOTOX5DLf4ofWVtwO7k0+Jz3qs3EHg/enRKR3rqHJLJZvnNHnfyMj7VWrM3QAYp9Jio/4qUCTKiOhAJVuxHY0wSWgLlsMvBGf60pmBOQefao0xyG6A0aB7J4cvbvStIistNSJIUjWSR84aRj3JraeEfEU96hS7jd3VsDjP8AWsT9M7K513RopzAJDEApV+FbHQ5r0a30LU3iwksVup42xACrKyjpmqtZbZ1w20Ejp1p+XSra6UbDtboOMVl7bw9qtud0U5cjnBNabTo7tkCyhtwHcY5qbIcaEDro+mXs1ywRIImYsT0ABr5Pg1C5ubqSRXS5jd2YgfmAJzXsv148YyWGnL4ctZAtxdDdOw7J7Z9zXz+oeCWJi7Qs3+HMvQ/DVjfZkXRK16BbXUo50yBMvT5FWOhndHf2/wCh494571A1ySS50uG4kUrNBJtYffvU3w8omKPk7mjZPvWKS7PQaM+eCUWQrs4VivtioekYOqr8Kal3eSr/ABUXQwG1I549JrKjzslTJJZc9TTgVmXKnPxT76FqEYDNbMR7g5pBp14mD+GmB+1UskbQn5o+c8g08ljeFhm3c59xQXFvcwt5csDqw74JzUAHccdaUE455pVibgKjZ70BJJxg8fFCKHgT2rvj9ulNhyuBgn5p7cQR756VIOBOPtRKeOTSYOMjvXAHNQSETk570QJAGTTeVz1pdwPFSB3fnrSF6AHHWlDLjmgD3+wxXE8/JFBkKM9qTzM81IHM1wcpx1FBvx3GaQkfv2oDrpVZvScgDrVfIdpK/wD01Mbpk55qPcIXX04zQEKbGM9AavI22hc88VSOrrgNg1cBdmGycEUB10cowFQIQTOcVNk/IftUa1iJnJKnFWRBIMbDkknNPJIvktG6Z3DFKSwAwOBQ7dzggH3qoTZRXug3N1MvlGFFH6+7VSyI0LtFIMMhwRW1dypxjkVQeIbIBheKMZ4cfNLLuVlO5O4USv2ahyHUOOT3pzZ0Pf2qQIM5wCasrCBpZUUDLOwUCosa5wcZ5qz8PX0K+KdLhlKiMzrvJ/pVZukXxq5UfTf018LxaPoUCui7yNxOOSTWx8hB+kYpnRkCWKgYyAMVLT1Z5HFedyNuVs9RijUaR5D9dPpmmv6Sde02H/8AYWSlpFUczR9/3FeAC9vBp0dmLiRbYkuYg2ASe5r7ddEkUo65UjBHxXyf9U/CS+GPFd7ZwoVgkPnwe21ucftXR0cvL8JHL8hh4/nEwtyBtIJHvmrK0njlVWhj2KqqNvyByarZR5kZU8MKlaXlYyCccCt/KlRHiZNZGT5Dkn5q6ns/M0aORV3EpnPYVTEbgTWp0hVl0GMOqknIGOCOelMXfR0vNr+0pf5MLfDfERt2kgdfiokI2Kw28Hr81ZeILVbWTdG5ZXbGP8pprRkE0rxP2XIJrDNcXTOHB8oor96KdoQDHFOyNBEAx4I6CplzpqhC+MYb/Wqe42rOyZLYPT2qIqxLoW4AYgqdxPJI7UMRBGPbvT8EQ2HPfpQJCBI47/FbEY0a82XPhSAv4kso8lQzertmvoCOKK0tvMdyqKuT7AV534x8I3WgXGkeMdGsvxWmvbRNMIju2OFwxPsP+KuvD/jKPxhC9paKY1GPM3dQvt+9aWzhlOSo6OpnWODTLu78TrCIzYWr3QYfnHC1Cnu9a1RMP5cETdQnJAq+bTwsUaIqqFUcDtSi2Ow5GAO/zWSGpFGDLuSl0jKnQQgOF69SeSfmsvrXiSfwffQQ+WZraYFnTOP3FeoLbqycoQeuawnjfw0utuJSxWSLIBArL8Ufs11lknaML4r18eILxLhXkeNUwok6r8VQhie5qx1Pw9faZ6mHmx9mXqKqywHpzz7e1ZIJJUjHOTk7Y4eSABik6cZ4od+cYzml4xWQoGjcUfm4OB0pno2M5+1du65GKAkCTt/WpGmWx1XU7ayUZM8qx/zNQN4GeeK2X0g0tdV8d2Ik/wAO3DTMPfHSq5Hxi2WxR5SSZ9E6F4Qu9G0+3tbW9hjRFA2BMCr5WuYBslsg+39UTf7UmoK1vFFOjFVJwfioK3lwlzgsfUvXPWuSt/Kmdr/jsTRbWF9bzSrGZGjcnAVxgk+1ZL6l/UDUfAU6RxQmX8QMxs49I/er2GGO6jdJj6ix2sDyPmsfL4stfGfhvVvDuv2uJ7SOQwXuAVJU8c9jW/rbTzJ2c7a1PhaaPFdY1W58RXlxc30pluJj5m//ACt8VRyToIX8+LMG7bKo6xt/mFSlcK2QeR79aakKpcn0jbOu1gfcVsr0ajH7lPN0GdHdXMYBWRf1r2ofDjebcxKrbVAJAB6nFNWIa1tr+ybLQmEywk9h7Ux4cymoQBWBOeh96xT9o7Pi03FodvWHrGMe9D4d9d9IcnhaLWUMd1MhBUhzwaDwzgzzPxjgVlRxssXGTTLJdVvFH/USY+9OLrF9jPnsfvVb58fTzF/nTiyoR+YH7GqdEFsmt3nXzKeGvziMALl+5bmqlT7MDRgj3p0QWceuXKsG2pn3xTi65Jj1QRH3yOtVWaLPHSlDstE15QQBZwdeQVzxUmTxFFLIXOn26gDGFXjFUK4LAgc05vA4IoRyLk6zaSgB7GI47gUBvtNfIe0UZ7jiqkN70XbkUoktBJpDHmBh+9KX0Yn/AAnHzmqrtiuHWlIktgmjkjO/r70T2miSPlZzGD2zxVRikwAex+4qKBdtYaW8YVboenpk8UCaPpzkOLlG9wGqoVlXKlacmlDkfw1TAAwPigLOTRbR+Y7gDPb2oRocK/knBPbPaqnPscYrg8gHU/egLCTQ2yf4i/FRZ9HlVtobBxTJmlUZErAntntRx3M+fU7cjIwaAhXFhLHuLKMD4qfLHsjADBiAORQyzyOhDEmmnkKjAyfmpsHHLAqOWPAFWq6O5S2JUxjGGbHFV1g0vnB0BG3kmpF3ql0rjbIT9+aWRQc9jOsjFYyUJ2jHX71FeC8ibmNwv2604NbvB1ZT+1KuuXPcIRQEQxzZ5Rzn2WgmtGuIWSSJtjDqRViuv3C4PlocU4PEU35WjQg9RRknnk8DW08kLjBU9D7djTkBQrndk9xVz4rBv5Vvlj2sBtcKO3Y1RQlCoAA5qyLEkSiKFpD96ieH1/F69ZiS6itS86nzpfyJz1NNancZVYR92odHs2v9VtLNfzTzJGD7ZIqk3ZfG/wAkfdGjAf2Zbr5ySjYP4idH+RXac5lEzZ4EjL/Kq2K5j0DRA8jAQWltli3/AIrUTwHqTXnhezvGbLXWZS3uSSa4E4PtnqodUjQpMxjkPdM15x9c/CH9ueHo9ftV/vWnp6wP1xH2+1b+3uVlWULg+ps1G0maHXNImtJVEkUgeFx145BqMMnCfIjPi5waPjS4xgsOCc8mttrnhWz0nwhomr2gfzboDzyWyCSKzHibS30jWNQ01gQbaZ4xnjIzx/SvSfp94ltPFE+jeG9QsIXtIISQH53OO5ro72WUILJH0jk+OTjldmDtLG51CXZbQSSMR0VCea2el6Df6ZZiC+tPKnPrSFztcg/fr9q95stMs7FQLSzghAGPQgFebfVS9RdchT+HKvkYYA5KnNcjxHnHu7LxwhSOr5Zr4PyPJPGVlkSt5ZhlGMxnrnNZG11BraYMfsa3mtayfIMc6i4jHaXkr8huorze5lWa4kaIERliVB64r0s426Z5qM1H9ppbO5ju4Lncx/IDjHzVF5PmXsnGAG5qXYZi+Ay7TQWq8yufzE8iseONMyZXaOnwgA+Kj2R3Ss/setLcyZOMgn3orJSu4e9bVGs2eh+BvqpfeEojp9zEL7S3/NbyHOwd9v8AxW68L2uh311c6xoWnmwtL1g3l/I64HYV4S6STMsEXLysEXHXJNfRPhKyj0/TLa2H5Y0VfnOKig5FvOBnhsAnFJlPKbKgHp160cysZECheT3pyRR5Y3oP+KFSKEdVOVBB4zUK50+ORO4J5FXIjBixu46GmxAEwMdPeoaJTMjdeG4pIyWQZx1FY3X/AKfR3ELTQx+XKvRgPzfevW5IdzFuCCelNNZxyAgRnHfFV4k2fNOp6Xd6RMY7mPb89jUUN8V7/wCIfCVnqMDK0IORnpk14prnhy70q4lEaO8CNgN3AqyZBWNgjA4NJu4HH70CuCPVS+nHWpIZ3bnmrnwf4mn8I6/Bq0CCTy8q0Z4DqeoqlO5Qef5V2Mg1EkpKmItxdo9m8Sf+oybULGO20zS/w+CCzTNnp2GKqrn69anPcWssNhBGkQIdCxO8++e1eVFeeM4PvRg7V5GRWv8Apcf8G3+syfyemJ9c/Eh/FCAW8ImJKnbkx59qx51e7cyM1xNmVi0gDnDE9ap1kG3PTPB96MSFcZyAKywxRh+0xZM0p/uZbRzZPXOfepM2JIgRjcpDCqiOXB7mrG3lB/MOKyIwss54QmnzzAcGM7fgHtVPZTCGS2lUAOp5xVtNNnSpUGTjAqogUEoOg45rDlfZ6TwuO4tlj4hgczCR2PrAJPzTXhO3Z47hhxhqnazEZdOgY4Ji5Oe4qF4XlZIpjz+er43aOV5bC8exL/Jnltmz16+xozAQeNw/erPyR7YpREuOmKqc8rRDJniR1/ejRLpeFlkPzmrAQqRyOaMR9OMUBW77wfllk/nXLe3yEjzXP3q1SMDkAZpwxA4yq5+1OySuW9vgMtNn4xRLqV6DklSfkVMMAB6CuFuueFyadjoj/wBq3Y5IQ/tSjWLsDOxDj+tSGtgSRjFd+GDcAAinYoaXWrvp5KE/FODXZhw0K/zoltsckUDWilskCgCXX/e3P86cOshQpMJO4cYPP70x+CUA5HFD+CHbNRYH/wC2ogoDRSftRjXbc43K4qIbID3oTZ5yec0tgn/21Z5/Mw//AM0Q1iyI/wAX+lVX4I5oHssHPSlgtzqVm3/eB+KVb+1XJM4BPuao2tSo+RTJtwTtPfnpU2KNRFdwuCqzKfYA0UnTIIPHFZi3g8u5jYkjDCtIwGMcURBySvFyGPzTsrq8W4MM/eq+/j3WUy5IO3gisnA9w5wJJCPvUg22M9CK7BzWSBnHHmSD5zTqPOP+9Jx80bJo1OCeDxSckYxz71nBdTjA82T75oTfXoYhZ329s1FijSnBBQgEEYIPes1qdmmn3a7G9Mnq291pTqd6Fz5xOPcVBnmlupTLKdx96skCDcOWuJGPvWs+k+mrqvjrTY3BKRv5xA9lGazFxCXKsq84walaJqmoeHdSh1HT5GiuYTlWxn+dRNNppF8UlGSbPfvrZ4yfT9DGiQs8dxfna6ngiOvQPD62+leF9PiJCRQ26sfgbc18xDWdR8c+LNOuNauBLNPPHGWIwFXPSvf/ABfPLbWVppIVI2v5Ftk2tyEHJP8AIf1rmZ8LjFRR6HWzrJJz+jR2d6IdIa7kkCLseUsTgAcmsv8ARjxT/a1rfRTMPOiuCwA49Dciqb6o6++i+Gl0uNJIpbweUvPSMdf+Kyf0j8Taf4f8R3EOo3K2sF3EFEx6KQapj128bZOTaUcqhZWfWiAQ/UPVWBAEgSQDpztq08JfTvWrLR7TxTY30CPHGZo0254x0NZ76sapZav431C4066FzakIiSjo2Bzj969H8K/Ufw5Z+BbXTLi7b8T5AiZFXJUniqeRnmhhgsav+f8ARg00pZ5UY27+p3ijVY2SfUXiTGCsY2/cVG024kubZ5pJHkcucsxya9S8OfSDwwtvFczG4vBL6wrtwc89BVH9TtKs9C1SCGxt0t4DAPQgwM561h8Vv6s9j4cMaf8Ao2vKr/rnk3iu48mF1HG44FY9QBirnxPeG4vPLBBCD+tVAHIFejm7Z5ZdE9LpzGsYyAMVNTGxiBjIqAgyEAxU+Q7IQKpGNGVysg7d0vUEU9bnBbjigUEsSOoo4W4J9qyGM1HgHR/7S1o3Uq5htRu+C3aveNIiKxgqFIHXPWsB4D0kWOiW524luGMrf7V6VpqCG337cnHQ0XZDdHNGRcRggnJyAO1O3yMu3I49jXKRNdocdO3SnL1wXxjJA7mpaITsbKH8OMLwTmgctIyp1YdKOYslom07iW5pl2ZpYyAVI/rVSR14/KxlAc8jmkCKWyowSORTs+84JAKj37Gm4tynewBJ4xQDU1spGQBurJa74ehuDKWiUFuuO9bhsGMHbjFV1zDv3DaD80aCPBPEvgiS1dpbUYJP5e1ZGWGW2k2TIUYdd1fRupaRHcF+Bn2NYLxF4XhmJzGCvTJHI/eq3Rajy3dSFuMjk1fX3hOWLJgfOOzd6p5rG6gZg0TcDnHNSnZFDG7k5FKc9h2zigzgnIOenIrjJt5qQGTgdq7dn596AOpBGT8GlDD96AfWUDB9x71MgnwcBgeOlVQb1D3NTNPRridVHOTihBrLG3lvNP2xqDuIFV7Wj2l0YZ1KEdj7VcwQPaxKkMhRlHUe9MarHJOPNbLuwwW9sViyRO14fdWOfxv7FCG6tdmTkr0z1pjQbKZIpIipDCQ5xUvSg0csQKHkdGqyfUpLOd2hWIE8j09DVcVmXz/FyUkZbr1rttKOvSiGP3zWQ4AoAxyKXZz+1dgUeMYxQHBBiixgcVw6YolFCDgAw5HNKBjpXdKUDJoSdsGOBRBABS8UuMgZqABt6e9dsHtTqxk/H710gHGKEjZXIoQpp7yye1c0LYzg/uKAZ2ZFJ5eRwKc53cjFIFZhkKSKAYEY5zQtGvTGaeYEH5pAhzyKAhvFuOemabMAxnHNWPl+noDUduOopQIQ4lTjowq7aqhwC4+46VasTjB59qlIgj3g/u8nHas/p8AYk9s1orkZgfntVVpqgfpHelEhfg0PPIoPwwAOQc1ZBc4GOKSSEN2xUUCvW2GPtSNbgcYqYy7ODn/mm55FiiZsA8cVFAqLtt0vlJjb70Kw55JxGnX5pUXLFmbGep9hTMknmsIx6UHQVdEgspck9s8Uar0OaUgjrwKQDjnP2qbJoRGYTqVJUqcgg4watG1/WJb23updRupZrf8AwpHkJMf2qtSL1erqacj9J2selQ0n7LRm4+mXuo61qOvTrcaleSXUoAQM56D4FVt4MzZ65Ao7YcZ9669wJAfiiSRDk27ZBmPUZ7ZpywkPljIBGc89qCRS5wB14qddQCx1B7cAYjwD/KqZFao6PjJP5Gj1jSfro1jpNvZppW+eKMJvd/TwKy3ijxpeeJFm1DUGVSg2oqDAUVjgNk54IB5xTeuTN+ESNcgMcsK5+no4NfI8kI9s63kFeuykkkM0jyNyWOaWFC757Dk0GakWnO411EeVJEaFpFAFTJ+QFpqBcyDBp6cg4IBqyJI6oCSf2p7SbVrvUYLVFJMsgX9s800o71qvpzYi48SpIwyIUL8dqtQPWrGNI5Yo4sbY0AGBwMCtZpw/g8lOnNZzTY98rtgZPcdK1FrsS0JUBm749qiJVka3VWu25PJ44p69VXZfYDBrrVV8wZRjg9aO5UNI2OQf6VLKoYmISzTb0D80xLL5kiAHGOpFO3W5IQpI5OOaiBlVC8mAEBzzxVGWJJl3BsEn2+aJZWdlBGKbtlUQIwZCCOoNOSI4fapBbtn/AGoB9Co9JFNShSxwBTkJIUjC7vc9aKSNiMcA+9CSuuoVMO9xz7iqm909ZVKlQwI64rRSRCRSp5H261Hkt8x7QDx/WqtFked3+iqG3BcY7VjdSli08STOuPMfauB1xXrmoWSiJyR6gDj4ryrx1ZGK4s7YEZClzj5qqVBlLNcabOMywDB77agy6do8wJWd4z24p+7tSoVewHaoZtm7Gr2UI7aLCQdl/GfbctAdEkIylzC2Kl/hmPUGpEULfh3UdiKWLKf+yrjft3REHjO7itDpGn2+nx5eeOSU45B4FVrQMCeBim3jI4IpZDNUZ0Y+mRf50LS7yqNINn3rKFG3cZ4FNuH/AEkjj3pYjJxfJG9W4QMoXb6eKCaNmkrz8zXSTRhJnUFgD6q28G7yI3LZYqCSDRKjJlzSydyZUdaJelBntRBsVBiscByaXNAG+KLI/wDpoTY6DRBjnmmgSD70YIzQBg4PPSjUFzgDFNhhn1ZxT6tGGCoDn5qCTjA6DJB5+acjjyMsDgUcAZ5McnHXPQVbWltbEebguw6J81VtIso2QotMuLiLzEjJXPGQRSnTG4Egw/8AlNXYuria3UIHXDYIU4p3+zJLwoHAVhznPP8AOsfMyLGZuazKnajsSvYjH9aOK2cKDKoYHsWxWhkLxyC3niidUHLH2Hz70ktjHPGXiRQWxx3FTyHAoZdO8xh5aNtJ6Z/3oZrL8PgLIsmeqqelW/4Z4pVjDZkORjOKGGw82NnYMGz+XHSp5EcTNyAljuUo3zTTdPnvWsFlHIpieFdvcsar7zQHClkVX+F5NSpFXEoS4x3pmU7un2qbLYbXCnKn/KRzUeWIIxRexxzVirRAdSrDkZyKtP01XSo28Z96sicADFSQR7k/wmHxVfZKT2wcmrC4GY3HxUaGIROArblIzmiJJCkjAoh16f1oVOOtEMfFKAjgP1GKqdSb1eUOg6mrWR9ilj0AzVJO5O7PLtyfiiBFk9R2L0FJFEFkBx80jejgdaKEfm5yaksFsMjFsdK7b6iSP3p7bhB2Pek2ADHWoLDcI9ZJomTnOea6IH5FEVPegJNqpKfINddqTLjvgYo7ZWCcUs0ZabOe1WKMHTrbztSs4R6medBgffJqZ4sh8jxJeL7kH+lSPBttJL4qsRjIQtIf2H/zReOhjxJK2PzqDUTX42b/AI2VZ0infLOpJHTFRNcA8qI89amOcxqfY1C1r/p4v/dWCD7O95Bf9eSKipNkhd2HYcmo4p+xmEVxhjhXGDWwjyJOiiaOQjOPY+9SGwwAxzS8FcdMU1I5RSSKvEk5yqKTWx+kp86/1CYdEjVa87uboyKQK9D+jC5/tAHoWUH+VJMg9c0+NjBndgsa0lso/DAljnGCKordQgAHXtWitQnlbWXKke/SkSshLaDKAqCR3Ge1G4APqBw3QY4p2BQvoUHA70jMTmM5wDn7VYqis1UBowfUoDDpVJJfizlCSJv3Pt2t+qtDqAPkOoydpDYrzzX7901jy1cptTr7EmsUi6NRrWqi0ltb5UItpMRtDGvKN2PFS7e7e+aaVbaZI4VD73XAA7nNZG71DTFtrdbS4E9y2Cy/5DnJLGraz8T3UI8tlDxSDa6t0YVXkWo0ttJFJJuTk/B4zT07hpNoOT81ReHHNxeXlxbr5dqSAg9iOv7VdCTJf0evPerkBKHUkNwe1K0fGcdaOMeaBvHq9zT4hk2gY9OOtAU97Y+cPSF+fmvIPGuLjxLcLniIKgA+BXvC2oUb24CjcSa+ftal8/Wb2YHIaZiD7jNUIbKq5Te2SPiovlZPAqa+CcigIHUVYoyN5HAJpxYgFYDvTuM/tSDPsaAivCMkDrTLW5HUZ96mlcn5rvKPOaArntt3Q8GmmtRj7VZsgHFR5Bhf+KUCivIwsiDp6hWwtjiCMc8KO1ZO8UmZOP1CtPbkhADkYXGDUgrKKgHTGRRAZ/aoAan4ouAAP3oF65/pR+xoA1HPxRqaBf6UfQYHNGSmECQeBUiJQ7BjwR0+aZjXoS23mrFUh9AZmVP8wHNUbMkVZItidrrtCLkc45NS7W5ihZm8skg8fNP21kDEGUrIOCMnBp17ZdihMZBy2O9YZMzxiORSFnLKqrnsB0qYkNwygs+yP4oLWOONNrsCzerAqREJGUo74UngZqhkRCv7d43hey3EqfXu/XVhDbSSwKWcIemMd6qr+8NwZbaHzB5IzuXqTSadrIeFhDIzbOHDc8+9AP32luHEiSqxHQsec1MhuUKBG4fGGx7+1cJLaRQblAWP6lPSnY4VLMYVhK++c1NkUBJYtOxlQ4yuNhHSq8xTW8T+cCHL8FR0FWUlzPEWYKXPfA4FJa3K38HoYZUesn3pZHErmtBcxBgi+aBnI6kVUXWkq8oaRRGR+ZnOAftWpEKRtlcuM+r3qNqFmpBL52nkD2qVIhwRh77T1aXcH3YIAx0xQyoo68Hvmrv+z2nYhQOvXpSajpEZUMCFlbg88GsqkYpRM5If4bCoUDEnkk4qwu7Z7beGGKrosYJzznpWRMxkpOelKDzQJnA+aIdagEbU5zHCqjq5qobKgsTyam6qwMqJkcDn71BmY4xUpAALuOc8e9OxKEy3PzTXmgkLn2qVGQYjnrzUlkPxsGGOOf6ULp0/zHpTEcu1sdRUmQjemBkioosNqMLnGTSbctzTsyhSuPynmm1XL56irEWTIMBD8UFwxWYkccCigHoP9aKYL52SMgAVBU1X0xhS416eVufJtif3J/8Aiqvx3C8mvbkUsNnb2FaX6WW2xNUu+g2rGv8AvVD478yPU4DGWBdCpC96yZFWK2bOhL++jOxDfEw9hmoGrqPwsTdfVzV3p3h7WL5gLXTrqUH/ACocGoHiLSrzSxJa3sDwzREEowwRXNx5IuVX2em3VywSSM4uMVzVw6ClIrcPHkq01ExYjlG5emfapVwyyR5VwR7iqk0qTOnCnj2q6YCKncehr1D6NwMlvfyYyrOo6V5f5pPVBXt/0m05rXw3HK4w1zIX59ugo+yDeW44UAEN7dqv7V9qhfLJJqgjzFIAWyDV1a3RdQAQADVkw0WQwEZto3U00m84zyeuO9OfiEZCBgZ65phQQ/DAfvVrK0CzAzZx8EEdq8b+obGy8TzRRtwUViSelevW7gTuSQx3YNfN31R8SSX3jq+ntJcRxYiB7cdao1ZY2fh6NLqT+GM4X+Z960f4aee4EHlFYwvL/FYPwJrTXMJmC7nQYftzXrekW0d1YxTMeud2OxzVEi1knShFHbCCFSioAMVYx7t2AcZ71HMHlqChyD3xT0EbyAg+kj3qxBPRQoHNSoYsPz3GevFV8Uu0YOeuKtrY7lywz7cVKVkNkbXZ/wABoF9dOAuyFjx9q+bhIZGLYzkk1759Urw2fgm852tKyxj7E814AsnPaoaIYD5zQE//AHFEVJPJ6mhbrioKiABhgYpzZkcc0KDNOFiFxipoDewDrQs32oic03nPWlAR8HPvUWUjacGpDEYNRpWBUjFKBUXBzdRDn83PzWnWPaqnqSP6VmHO+9hB7tWsZQFAHTFAUfOcYwKIDtnmgU8Zo1OOeM1AFByaNen2oB25AzToOB2JoEKuW4HtmpMUDr+k89O9P6ZYG6y+SiZwSas2VYfQvJB71jlMyxgNQaLM4ViCUbnpzU+LThG6/wALOzOM09aas5VYgSgHRj2o7i9hTLiTcAMktxWFys2IxQto6wx+n05PVal7YBEbhsygddgyV+9ZqXVZp5CYvRGvcdTTitqU6/iLCXcVPqiJwSKqXLFNcs0nKFtm3gMeAaV9ftzKDFcKVDY9K5rJ6q1uOdxSc9u2arLd70SeaY2C5/c1NENm2h1uASSxx53ynkFfVUG10u40zUWuIJg8UnWInBIqJaTEMkmCSp7jmrzz7fzEaSJcEZwxoyV2TLLzr1sQsYxnLjGcU9Pf22mFokkzKPfvTMUyJbYt3SNpG6LQTWFtAFkMhkZslm7LUUCTaareawjRpMLdCpXaADn703bWc1iGjkz68ksvAzUCRXikBiOwDkNjAOe9WiSXMtrhJQ5HOCeaEg+bLbyEGXCsKZj1UyMYS5dgcZPaqyfUkMghuN+4nb0wRTllJH5zKgBOerdTUpFZMsDGwJZZEGTyc8Gol9bDcJVmMpyOnap8dgs+AxUYHpAPAohpfpDM6lvjgGrWUZS3tiL21dkcLKoyykVlRF5cjRvw3TPzWw1MS22f4UgDdD1FUt3bI7GY45Hb3q8ZGKSKxOOM9KPP25pCuTkdutC5CIzZ6DNZEUKW8IkuGfOeaCQgrgU0zFjuyM9aIKW4q4GlTMy/frUhww6HpxSxBBKFK89c0/LbhRx35oSiKOe//wA1IWY8Ej8tQyCr49jTqtjBbp0qATlljnTZ0btn3ph3MbgEEH/WmVTbIOeDyDTsrsVCtgnsakE6Bt0YKjNdcOVnIPcUNqCIF4INOXgAKN3ZcCgPTPCKDTfBkcgH8S5cuSKsfCNtBeeNrf8AERJLi3bAYZ5zUFcWmh6dYr/24xuHyRWc8R6ze6Hqdvc6fcGCdlK719qr5DFLJruEemzNov8A7ET6SigitwPLVI1xxgAV5l9SPpanii51PXINQVdsGTGq7sso968lk8V61fMfxGrXTZGMGQj/AErbeB/qLB4Z0K/sdUhuZxcZEbYOOVx1NeGweK2NOaywnbv0exyxcoM8J2lHZD+kkUuRinbtlN5OyDCs7ED2GabC17eLtHiZqpNA446UuOeBRba7JHTiroqIAWYKO5xX0h4YshZaLY2yoQVhXn56189aNB+J1izh/wA0qgj96+m0TZGgXoqjH8qkAszNIMrjHap0Mw3BVIx7Go7KQwJTGRyakWqL+YAE4/egLASYRQSp56VKVkYl+eBxmmlClFwBwOmKJdxUjjkdDQgzXiPxLH4e0DUL9jtdEIXPdj0r5cnne5mknlOXkYu33Jr1P62a4ymDQ0Y5DmWYD+leVbd2AOp9qlBnq30+0aSLw8JGUhrli2Mdq9Q8AzGWC7gcjCED98VmPDEkK6ZZQkbCkCjaevTmtL4Nt/wkNxNIpDXEhbH9BUEo0RQoxzux2rmEjvkZHPBpGy5GTXOTGQOcDoRQEqFFcgsVz9+tW1qoY4AAA7e9UtltLZf1H+tXVuNwG0g46EVZFTGfXKYReGbSFTgyTgnPfArxAHaK9j+vcirp2kx/qLsf5V44MFRioIYAcOSMEY6USALkkg13AHI5pMgioICLZHTPxSEnGK5f/uaRuPtUgbbGe9CTxR5zTbZxQDZbnPUiotwxIZgcZ6VIbGTUW4PXjOetAVsYzqMAIzlua17AA49hWSthnV4O/Na58E8VAM8oP2BohwKbG7NOL2NQAkwADT6AHt3pmMbmAyOasbSLLbAgPcsT0qsnSLxVk+EulpCoznkmnPLb08+rOc0xgiVS8mF+KmIyk5DAjtWuzYiSYLQnczOuewFQNVikMRi3ctwCelWMbqcbwcZzUSaR5JndkCxJ0BHU1UyJfZVQQPaQhpSXbjI7VZWTzXYP4RlgkHQHkGq2/mkeLecgBvUPaottetHLvd/LQd+lTQbJOv8AhS9/DyXLHdcRDfhP1r7j5FZ/S7m48kzFyTvxg1ZS+M713RHPKHYfkVBgwsjFEyrNuCiroq/ZfiVzEJBtV8dcVLn1VEsopJIjlvSG6g1Xm9YwJGsQIHscEUCXp8mW2kjQxEhlz2b3pRJa6WxgxOxxvO7B7D2q5upYXtD5hLR8sNp71mI7ssvI9AIIFWum3Auz+HbHrJwPaqslMO8uVsbOJd6zblDN3x7CpWla7ayFYJ1CBud4Heqm+ilgLqFBZc8bueKprcyySs67pW3DA+KqWNDfRltTbGGA5B+PemrfYkxYk7lPTvUGC+a5laMo8cyf5uhqUlrMB5oUsw5+9TZVovZww2FZNydeOMCmnv5IpAsYZsEeo1IREvbJQhAkCjA+1MKqjG/duU8g+1LFEbU7y5khZS5O79IqvZN4THPHQ96u/wAJHIXZmZYwdvPaquW3VJyr7mUcKw7D5qyZSSKO5tpIXIwcZqu1WQpZtt4JOK0t2++MDuPcdayOuS4dIh96zw7MElRVJw3XtT+8gFs9KjOfXmi3HAz3rJRUk2k3mPt25J71KYuGw3I7UNnEFUFQST1p1kYqQQagkiTJ1PXFNkg4PanWJSQcEjvQyIGORx8UJDiZWAU856fFcykNtbp2NNjIPbj2pfU7D3FCC3iO2NemcU/bRpNNB5wyI5FYfzqMD/DUdKl6WS17ASQf4i4HvzUr2Szfy4eYMGyi85Peq7w/pdn4s8a2sOoR+ZancoXOM4o9fujZQPEhxJJ6FX/ioC63L4MvbG/t40kki9O1+5I5qvkYzlglHH7oy6LrNE910/6f+GdLKtbaRbbh+pl3H+tQvqJ4FPizR7e005ILeeKXcpIwMV5fP9dvEEo2xQ2sGeMhc4o/DP1R1RPEdrfazfs1nyHUdF464FfPMXivI48nzyndfR7V9o8q8ZeHbrwr4hutKvCrSxNyy9DVMCCK9F+uWsaP4i8TR6to1wZ45IwshK4wwrzcMV9q9zqTlPFGU1T+zxu3BxytMexSEcUBkNdvras1iw8Pzi316wlboJl6/evpK1vt0YR9pAHavl1ZDHIrrwUINfRHhu6/H6PbXXDCSNSffpSyUaVc3CgK/OcYx0qRbRbW9bZPxUTTvTISg+easYEG8DJyTk/FSQTkAVdxGM8Yrg6oskjYCIMnNLPKEhBYYAHJrJ+PvEC6J4Zu5mYBjGQOerHgChB8++N9WbWvFWo3mSVaUqufYcVA0O0e91e2iVcjzFLfC55NRSS7F2JLMSTXof040SJ7Ga/kGXkOxPsKBnoNppEaGCRX3BTwB3GeK1dqMnCjae9RdK08JaRKwUOo5Bq1ht/K25G3B6jvQkcLccjt1HaiV2AIyDXeUrjBPU54oFiVZAQSfce1APxuq4x6T3q10+cl8ZG0gDiqYMM9CKrvE/i+HwxprKCrXcnEadx/5H4qLBk/rRraalrkFlGwKWceDjuxrz8ABBjHSnLu5lu53uJ3ZpJGLMT3NNLnJyalFWDJuz0FBRsSSCaTAXmrFKFHTOaFx15oh6se1C/3oSN8jigJ+1GcZ4BxQsMn4qAMyccmokwIyfjpUmRsHFRZ2O0/JowQtPy2rRcZxnNap+BnFZjRgDq+M9Aa1MnC4x7VAM4BzTqgAdenFNgerAo1GRUBDsS5YHGcHirq3wLfkMmW79zTcD/hbM7YYiWHDOmTTcReVdpfjkgYrDJ2ZkqJrIFjDDaxbtSTTeREWYgMRkCgSQJEFIJ7cdqi6kMxEswXcPfnFY2ZYobtdUnkbY7nH5t3zTkt9cFhGpLZGeR1pIFtY4YkjTDE4y3XNLqJ3YUBg+OSB2qplXoKN7aW3YXcqqCecNzTEyaGbaRjLvjX3JIz25qq1JYI4BHEZtznByOKZs9PnvpEt1YFU5I7CrpFGyraPzbvy4ixTPGfatLDbi1t4y4AbGTS29g8FwzSKrAcBgO9Dq85Z0CD4IqxCQsV0G3EjI7EVEdp5DJPHGCseAeeakIoW16bT2+aZFlPHEHhzuB/IvO771DLJCWV++85XPFXWlXUTXaM8rIVO7KjgVDghjktcupWXOCMckd6sNI0jzpSYyCoFY26ReKt0i4e2j1i/JRhIAc8L71Z2/07keVXto5YpTzubgCtj4N0y3iLeXEjZVV3AdxXodjpoKDeF/lWhl2Gn0dPDqprs8qg+ncoiUTOJHPUqKkv4SMAaNELbUzyK9TbTFjU7Dg+4qLNY7EKqfV1zWH9SzK9SB4Lf202kGWXbgwjzAPiuh1WPUUWUxBZCmAB+r/5rYfUDTvLs5jsBYo27HcV5Lo8sySBZN67TlfiuhinyVnNzQ4yo00G7zPMmYqitnyz0xXSsLktnCDPGKhy3TSqxKBv1bvcGiTUYYo/JEA3sPzlqzo12Qry3PVCCFyM1itXDPfSEDIXit9PKHhkcpjbySPbFYC6uHaR2Ud+eOtZ8ZgyIgum7G3rTlvA8kgLcKD1NcgbzNxAxUmSVFAw4wOorKYiYIxAC6Eknt710crtkMuO3FBazRSxBSy5B45p/wAoDODg/egRGnQE1HKkVLlRgDg1GBZs9j7GoJAB7H+VPWqeZJ8CopYk4xzU2w25yQRz1qaIJp4BDD7VI04lb63PULKh4+4qO5V+AwNSNJDvqVuin1GQY/1/2pH2SzY6pGJvEh80Dy4E3D7msd4k1FtQ1Yxj/Ct8j7k1rvEVwvnmfhXaPn5xxXl93Nc6bcuk+GZzv6561fO3VGXRnCGRSmWJP3zRI46McDvVSNYycGPiubVTjCIMfNaPBnpV5TCvsnamVFm4AJU8jPQVRhl79admvJZ1Cu3pHamevbFZYxpHA3c8c2TlEPI9xXEDNCAKIVY1BD9q9q+l+oLP4bhhZipiYpn3INeLV6L9K7v+73duzY2uGUfcUB7FaudwwAfuauLXJlC9Cevtis7YNyPVzjvWn0+NmRd2SD/IVZEMPVpBDCh/zHGM14b9a9dE72+loxyXMsgz2HCivcddAWWFPyoBuOegr5i+oFveR+LL83qMrM+6MN+qP9JHxU/YMwiM7gDkscDFe4eAtHa1sbS2OF2DzHDe9eb+BtDGp6mJ5VJht/U2B+rtXumj26Q2nmOBvk6cdBUshFvasrSZ646gVYkrtVs8HHFRrGCMsvIVjxk1KEbPKVwcL0yOKgsJIrgDaOKUIWA2fvnrTihkUL6iSTTF/d2WjWb3d7IUjTk5PLH2FAV/iPXIfDOmtPKA8pGIoyeWP/FeNarqtzrF695dMWkc5+APYVM8T+ILjxLqkl3KxEY9MSDoi/8ANVBVv3oirDT1HJrnJB9qWLmudNx4NSQNnNJksccUZGOOtCFye4oDlxgDFc6KKMnoOwoHPUfvQgb4HHWm2OCT2pwgZoXAwce1ARZME4PSolyRtOKkMck4zUa5Ax1+1CBjRVH9qjj9Oa07thhkcd6znh9d2qOeOFrSyYL8/ehNmcD496OI5YYHem15JpxTg8VUlezQJcG5s0jlZQBxkimDImcKN2O9RYgzxhckA1JW0lEec5XtisDNhdgyX6rJsVD8moLi51G43TW8iW0YJ3njNdh4LoTYZlBwVHan9W1UXOYY22qBk881RuzKlRFSXE4yMBc4B7mrFbxLeNTOmQcrnpWbtpnmk3kErnAJq8uw+o2QjVSDHzvXoagsVVy0km5EUyLHyOe9PaLd/g0UOnLv6j8VI0TTzcTrE0g4zvPapS29mIDbtkToxJYcg4qOfZPAK7vUa4MUYwrLnPsarIIZJ5P4uVJOAD7UU80UBDe/f5qz0CFtTvo1UcOO/arOVIhRKts3l6sCoxjjODg9Knz3sVmPIiw47k9f5102nXWneILi1kBjCtz7MKf/ALJW6uREibWc54FU5fZZRt0OaRYPqlyETKLjLFulb+y0O0sLQJvQyOMDB7mj8OeB7eG3Elzcspx9sVayab4ctrlY7nUVO1cks9as8l9I38eLirZr/CtjZwwJHFNGzADPPOa1yR7Ex2ry3T7fRmlDaVqW5hyQsma2Ok3N3DtR5TIh960shv42aKmLherfFKblQOozUObWLK1JFzKqA8c1gaMrMN9Q126PezAcmFtp+a+fLKWeVvMMpGevPOK9++o+p2D+FdSa3uUlCqSADyCa8BsUVvNcDBUZA966mqmo9nI26ci6srto5/NdQY0YKVb9XtRuiyOf0MewqNHA7orzsNvVVHapFvJtPmSYbcxxkdQK3omhIlPG9xpcsbALxtLjuKw9xp97FIVEaTA984Nbe5uJZogq4C5yVHFUly+5zgcZ5FZIGCZlHsdUZiohZQe2RTdzpN1aQLLLyCeQD0rWHAA4yKgay+NPkA7kVlXZjMuAeoJFOxzXEZ3JKw/elCgiiCAH4rMsZSw01S8UAFt33FL/AGjIzZMa/tTezd0ApNjg8DIqOFCx1b5OMqwzVjZ31pnDShc/5qo2BzyKHFUbosjW4t3G6OaM59jVp4XhC69ZnOcsQBnqcGvP1JXkEg/Bq18P+JZtE1KC7dTOsLZCE0Uuwa7x5rEljd4KYkChQD065rz2ed7iVpZGLMxySauPF/iBPEuqfjY4WhUqBtJ71SDjAqJy5EJUcBRCuApcVQk4dOa7oOKXpSigEPWlFKBSUB1af6d3j2/iCOIBisy4NZjODxW9+kMcU+tXUbJulMQKccgZ5qUD2DTF8zCknnt71r9FjUMoV3wDyDyKy9kjxy5GAO/HStZo4G5CMHmskUGec/WfxHLpd9p+lWshjmupF3/CZrD+KNFj8WtcSWDeZq2nKFljLZM0YA5H2qV/6hZp7Px7aTKfy26ugPIBzVR9O7C61HV5NcmkaJRkAocB/cfao492Qma7wb4ebStIhtio8xzvkbuSe1bZEVYlj7dMVWROf+0uFPQCrWFSNnpJPGR7VDYRO0/PnruyQehNWqxsJGO7r2qHa26qAxkXA6CraG3jAaberKo3Mc9BQkg6pqdroenSX93IFjQcDux9gK8T8UeKrvxReGViYrdT/Dizwv3qZ4+8UyeIdYkjifFlbttiUdCe5rMDP2FEQGgx/wAUrDt1ptM888+9GxDKOefipIDUkDt+1FnsOKRWGBxkUjgbiR0oDucjikB5BpR04OaQEkihBx49802Rk06xBbFJs8wkk4FAR2wSe9C3Q5pxwEPp7UDg9e1AQmTbkjPNRbwnb25qe5zn2qBenj7UIo7w0ub+UnnitG+cnHSs/wCFebqdia0J6k0JM0iAkDPWpKRqq5JBqPFjORUuEec+3BIxkkdqo+i0VZK3hbdpFGNuNoPempNZRf7u9pKhPqEgPBpNRu4IbODy3DMpyEz196gahczTyRtAAyEZLEf0Fa7ZuRVFtp4SOC4aV9gZfzN7VnAGYyybt4JKqT3qbfX3kQBcsxK4YZzUCzLXSNLjZHGQOO59qqkWJekN5N6kbxK8JG0HtmmtRtrqOZ4zKfKDfkB4q2tLj+yIgZIQ/wCI4VcZBqpv4rm1vXVmwrYYpnPagNL4PiWa0ccrIVwB74otdiS0ZI4BiV+wHAqJ4c1OGy8xZJY48jhmFDNINRmklkZywbgjoB8Via7M30QNRtjbQRmaUMW9Zx2rS/ToeZq9t0IOT8CqKfT5b/bEiuxBxz7Vv/BXhOW1t3dsRMYmAY9iRTLNKNFscHdlB4q1SC78Y3LRnesShPSPzECtB4K0qW9ujfPAxKDiPvgj/WszObe71eS5WJYniHkEr+tl6tivWvp/ZiHTzOw9MhBAx17VhyyqNIz4IcpluugR6la7Qkybhg5ONtTdH8G2OnWEitY2925B/iEDdmrnTCGuthUrhRkHuauDpEbYKvIvuAa1YZXB2jfnhTVM8K8I/T/W7HXrmW8i8hTKzqQeMdq9d0WwbyxvGfmrn+yIYssCWbGOTT9nEsbAAAACqzfN2TCKhHozniC6XS8ZzlhkDFYPU/EuhLdC21maa3Zl3gOpGR7/AGr03X4401GKeVNyY4b2Nef/AFI+ms/i/VU1m0vIyY7byBHjtnJq+PFD7Ziy5Mn0jGfUNtF03QludOmE0V2wjKk5zXmNshjjIXv/AKVa6/H511JYIf7rp7+WgHQsOCagMhQbIxwejGt7HGlRzMkrZd2EX4mHymRBhep703LLGkP4YgBUb8/tUaxMkaKjMQQc8UNzKbaYo5GG5Ge9Z4o15MfkCCM4kLE8Aj2qvaBmY7DnHXNTre83RFdq5x1obQOZudp788VkTowy7K7ODgjFQtXAaxkJyce1W9+qecxGA3XiqrUWX8JIHHBGB8ms0O2YWZwEHp1pRmkHHFEpGMHittFBMntRbSf1Cl2EDg5FChjLAOStCBpwMnPeh8vHQ09IgByvIzwaHbWNwJsbEeWApkgBiO4NTVUAiokn+K/3rFOFFkwRS9a6lFYyRRSmk7UoxQC4rsc1w6UpoBQK6uFJ0PWgO5zW1+kd+mn+ME3kDzoWjGffIP8AtWL4q/8AAdjPqXi3Tre2YLIZNxJ7KOtWQPoyyEk0hlwGBOMDpWl0wKsgAVgQc1AtbZbRVh68dQO9W1kQHXOT/wCQrLRRnz//AOo6Xd45hjH6LVf6k0v0xmWPS4CwG0Owal/9SEBi8dwy54ltFx+1Z/6ca3FbTvpszBfNIaMk9/aqslHs34YRMNoyjcqR7VdWcB2jK4WqGwufORYcFs9M9jWwt7bC7CxUgAnIqYoMl2FqFG4BVPUEc1VfVLV10Pwm6xuEurv+EuOuD1rRafEgj6gYNeW/Xa+B1mxsQ2RFD5hHsSf+KSRKPLmBY9ePvSp060IYEcGjUce4qqDOJ4IxRBCBjFAR+1OI3pAJP7UICUsowCQPauPXJolcBcHPPvSlRjk/tQMbUDByaHkHr1HFKSqyYIyDSE84Bz8UICY7cHNCZRggHHNFuwpB57UCBSvbOehoScxyee9NMSQfvTjrtJxTJ4Oc4oQMSHBqBfnap71PfjOeardQYBcdz1oB/wAKD13BxxV82ecGqPwsp8u5Jz+YVdLnB7CgM9jBwM1Lt5WVWWMhGZSoYio4A+9HGuDyeO1UkrRMZUyFfaedwKuzOT6zjgCpimTSbLbPbCRHXdG5Pb/mjf8ALnkgg5FU91dT36LGXI2cLzzj2xWvVOjcjKyLdXS3MpZcqo681oNCNu2gSowUStJkD3GazCxsFkBUek1P0q9ms2VolDEc7W71L6RK7ZY3F0YGVm3ARudqtSPcfiXWdSAzLgnHSmdat7iWEXz52HqCOc1FsPOw3lEhhzz0qqLkmeQJkLtL5yPcVdWGr/ibIxzW6rLGMq6+kn7+9ZvzXXMkgHmHOR2/arjQ7uS6ZYDGrFSBnHaqzXRaPs23g3N9eMrxZCkDOOCK9Zt7MPDtRdoKkDA6Vj/C2not4rYABUYxXoccey3bbnIU4x16Vy8srkjq44/ifPsNssOsXgUvL/eXGAM4wT1r3rwdaRHSYs4IwDgV4hBp9/b6jcuVxNNK7lG4PJNe6eCoJYtJtvMDB/L5PvWTNK49E6sWpM09vCkSoMDduzVl+KSNMkgfeqtZQn/k1SreLzm3yY45ArUN2dVbD/FSTPhcD4p60aTJ80YIqv1KBifMikaN8fmWqa31i6ilMc0xuFHAOOc1Pa7IS5Lo11xBFcjbIAyntVdfxWuj2NzdkFUijZ29uBQQ3s4lQTJsyMjmqz6h3yQ+CdYkdgB+GZf3PFWg+UkYskXGLZ8tSTveS3Ew4M0jSkD5Yn/en7VD5KFl3Z6fNQtPjmVkcDaB71bwmKXEeCkgO4EdCa66RwZPuyGxwxyCDn8tNBPxBMhG89MHnFS7wbBh0Jduh7iqyLULmINAxAwcdKzQRhkwmTyn64+1OJPtHHJ+ajtls9z75rh055NZeJgsJpfMyTnJqh1y7IuI4Oy8n96u2Jz7E/FZPUJTLfSyHn1Vkj0VkE3tiuPal2hxu6UmdvXmtlFAlc5pzy43Xc2cn2psYP70YkMfp2grUkM549hZRkihVOQG6U87lhnGMAYptgRzmpIAdNrDnIJqJJ/iv96sli3H2HWqxjudj7k1gzFonYNLiupa1y51cKWuB5oDgMUvau611AcPvzS8mkFcKAXOfirrwZq50LxLY3xxsV9r/Y8VS9641KB9aWGqx+dEdweOZchuo5q/sbyADa2BhuM18z+FvqZdaVBDZX6tPbRDCsD6lH+9eg2n1X8PyIJJr1gE52bSDVudDiZ//wBR5L+MLNxyDaDGPvXlEbOjq8bFHXkMOoNaf6i+LP8A8w8QyXybhboojhB67RWXXG7B6VN2RR9BfTPUv7XsrSdyrSCMhs92FemwyEneVAz/AEr58+kGsPa3U1qW7+YAfng19BWVwtyg2j0gDHzVokMt7RVVEGMc5rwv6yymTx5eKRxHGij+Ve72MkbuozgjqK8N+tXlDx5dNF1aGIkexxzRiJg1wBzRbhih2Fj8GiKtGOAaqDlAJojgDj+VCoy2VPNEVIxjke9AOxnpkUhyHxRxKAM5yfmklHqzk0DBdfWCW4FJjn9qRmwPilDYH34oQCw4z+1NFyDnJp1zjjHFNv6xxSwc8oZe5posPenCgC5PQcUyG56mlgakzg8ZquvySOMdcVZOeOtVV/wM5PJ6UBZeFQDazt/51a9OKq/C6/3CU4xmQirRwcZ9qApFHtgU4M56ZFNqe/8AOnEOAT0wO/aqsmK7IsmqRI7RoAzZ29Op+KrLtGtG87btJqRLC0EkLHGSTz7/ADUbVJN67A+/2rXb7NtKkR4ZBKGaRgAxqbbyW4kVAMHI5qDa2bNtDe+anXVgkCryeOcg1EmWiT9a1BZRDbRhwuQWFR7aHyY3w21T271DS5N1MNw6cA0lxftBIAvqUcHPvRIlsJkUzLbISSTkk1f+ELbzNQ8pgAXOee1UEd1smWcqBxgVc6VK1ncxXkcTSIp52mq5FaovB92e56Nb+VbRzKv5eDWttZhLCdpycdKzXhbVbPV9NjaB0JwAyZ5BqyLtYSk5JjY447Vx5p32dnE00hm18PWN7cJdyQ5uFY7iTzmtrpVqkUQGMAdvaqayEM8y3QPq24IHRs+9XUDHbhapyNmCSAvXnWVvwsIfaO5xmq0eJ7+3cRvprJn9TNkCr5U9HsarNUsyw3YLKeuOoq8a+zLjSk6ZHk8UXPlj8TZgRuSAQetHpup6OjLHnEkh6t71XDTJJQPLuCFAx6u1Q4vB1q1z50N1N5iMCxDcZqWjNPEors1up3kayrsYFgMYFeQfWHxx+Jtk0C0JkG8PcsOgx0Wr/wCoXjC28P2Z0+yuIm1KRQDuflQe/wB68Muri4juHQ/xJZDknfuJJPvWxr4O+TOXmm5R4RJquRbrCoGDyCe1IIJFUMJAf6EU0Y7uO3Rnwg3YwecUyzyRuF3E571vI1cetBtRmx5n3tiQsQvOM84pdTtoY5A8TD+IoY57E9a6LN3hCAHBwGpzUbQyBWTA2L6gDnJrLCXdGpuajwuiuxsAJ9VcNuOhpAmcCuAOMVmOaM3EvlQPJnoDzWQcl2LHkk1ptZYJYSc459qzHSrAkxEsg5+KXHFNQPklSfmpG0+4rYg7RjYgBA5o1kx1FDtOaJYxu2k1cgdLmVVzjmnkt8oScU2Igu0Z7VIhm9QQ/bFSVYLII7WZ8HKqao/9a0GrstvYFFPqcgcnmqADNa2V9mSPoUc0oNJ0rs1hLBVw9qTNdnBoBc0ooaIUBwrq6uB5oBa6uzS0BwpSOOlIOtL35q6ARye9EmMDJocUo6ZFSiC00PU5tIvo7uA+pOoHcd6+k/p94ns9f0tZIplDoPVGTyD7V8wRHr/tVnper3mlSebZ3MsDd9hxQf7PqXVPFul6FJvu7pIceoIW9RxXgms6w+vaveanOzEzyFlyeg7f0rN3Wo3WpTedeTPNIeMucmrGAYhUfFO/sdfQ8rHf6aed9+MA9MUwowVweTRMSQR7e1CA1YdOKcVeo556U1EFGcD1Y70ak52nP3oQODPvXM2TlqAqfkUbJ/DJ6jFQAZE2t1FIT6sd6HzSV2kfvSZKnH9aAWQDv1oDkUrHc3WhJIPTjt8UAL89abJznrxTk7dBkdKZYHB5oBuRuD8VVX5G3JyOc1ZS9/eqq+6YHepBd+GVP9lhs9XJqxYZBqv8Of8A8Ug5PqJzU5mJ46VAKVTzSXbRRRb5GJRwQFB71wGaauYVugEYsoDZyKrJNl4NJ9jAUXolSPG1FAU56GqqKyuCSrHA6/etNDDDAixKgUA5zVVeztBeyRbhk4ZGxWBpo2Iysmfg4oIlZPzekkfFNXTxh1cZaXsrflHzRSXodIxKoQgABx0IqHOvmbjGu4jnPXiqMyoGNIVWZ3ZWc+wwOar0QyzFGOAOp+KsBZu8QWFWZgMvj2qb4a8LXXiHVreygIDu25iegUdSaiWSME5S9Fo43N0iiZyWYL+XPFWun3c8RGzbgY4rbfUD6d3Wi21vqUNvuiA2TGNeFx0NYq3jXO4HBrFh2YZ484Po6GLTa/caDQtcuNIvRNFM4DfmWtzB9RJ/LZ3mim8sZaNxjcPj5ry6ISKdxOR1qy0XR9Q8RXosbCDzJmBYDOKrmhCuUjajg4+me1aJ4ts5Io7iG4HluMlM5KVutL1WOfaQQQ3Qg15N9PvAGtaBq0lzqdiBB5RUKG3ZJrtW+qFvot/LBa2UpaJ9rqeAMVxfmWTNww9o21jcY3I96hVZoxjFN3GmTTL/AApNvx71i/BP1Ds/EtmZbfeskZ2yI45BrXx66pGCQKyqSUuL9lKftEBtBvFcKRwx7V599SfqZbeEEbSNIKT34GHZTkIfc/Nanx/9V9O8LaPIsMyS6jKpSGJTnaT+o/avl+WeS/upLqZy8kjbmYnkk9a3sGG/yYUpTdMY1C9ur+5mu7qVpZZCSzMeppi3uTE0ZOSA2TT94uIsg80xbosjqhGOnqrf+hKNui6lnjaMb3Zw3T1dKfEHnQlVY7sZGak6Z4FvdfsJtRt7iBEtOGQ5LEDvUKC4OwHKgYIOOx9/tULotiwwytxftClmiAI6qAfvUuW4Elp/dxuL/nHfNQ5yXkC5ADj0ke9JBdx+aUkG09CRxirxX2U2VjyLhl6ImCD3yOopSenx3qbMkUiNn0kH0N7/AHqFjgDNZ12eWz4vjnSIGsH+5vuNZsd8Vea9KRGsWRyc1Rnp0rI/RrnDO4Y61OQNj1cEUxZRCacDsMmp8u0ekY4rLj9FJAKR7A0rLGTySD7ig75rmdR371lKj8QVenq+TTtrhpSc52gtQqguMKrcgcfNBbkxXIVwRjg0BB1GczT4LEhRxUYCnbyPy7uVfY8famxWpL2ZUdg12aWlqhIJpAcdaUikPHIoAvtS5oAwaioBc11JSjpQBCuH2pKX9qAXmupKNfmroBYOPiiUdsUKjH2oxz+9SiGOxLgntT68DGaaQAEZ6U4Dnp2oQSrcbnXn5q7g9UY5Iqmswd26riH/AAlHAqWQPKuBx2rkJGc/egVig4PNGSGXIPNVAvXkDB96MSZ9J60KSDYQV5pVbnGKAdJPA3H96UMdm3JpoSA8HmjJ2glelANlfVSdT1pcM2Tz80AJzjFAObc9OKFWBIBalUFoyueRTccW1iCe9ADOoL4H701yox704+WJP7ZoGGB06d6Ajyk5IHTrmqnUGyMdM1aSsSpGaqb84HHUUIXs0OgBo9KhwAc9amNkZNRdFyulQ8ds1IkPGNtCSkVhjFOZ5zxTOfbj2NLnigFmuSsqRKpJb9XtTN0ttDcoJIixl4LHtT3BTkZxznvUiORJ0G/buHGDWNxbdmaM0kMx6dbJgiNj9zUiKBUfI44xj3FED7kDmlBPYjNQ4ILLQDt+Fil27QHG3Nb/AOjWm5jm1BlAbPlIQOuOtYR1EqlXAINenfSDVbW2srjTndVliZp0B/UuOcVxPN48j1pKH2dbxmWLn+RbfVHxxDotg2h2axyXlwn8bcARGn/NeByI0bdOPerjW9Qk1TWLu9kYl5pmPPOBniojJ5gwfUBVvHacdbCoL2eicOXZGjIwMHIrc/SK7Fn4zsyTxIGT+dYdreSN/QjMp6ADmrvwldPpviDT59pGydc5BHGaz7sOeGUf5RitJ0z6jfdnAr5v+olp+G8Y6nHswGk3D9xX0WLqJlEhljVSM5LCvH/qT4futZ8XeZpkJuFkiUMyHgEfNeN/pxSxZ5xmbGepJEn6FxCVtTiOA3patr480K81OytINOneGdZcuVbHoxzmqb6deCNU8Myy30syK86bPLA4H7+9egxWLMN75Zj1Jrp5deT3PmT6Ne1xpHifiD6V3T27XAkkklCn1MSSaxsngy9k02XU9PUzLASJ4f1xkdT8ivp/UbbGnSKwzle9eLrqEvhTxE9wo/u05IlVun3rva2VyVM5uaUscuSPI5ZC4Cnp7U9bW8hxswQ5289q3v1U8GW2mR2niTS4vLsdQb1xAcRv1yPg1irVPxdwMgqhXAwcdO9bzVG5rZVmXJGw8Ca62iagYpZvLjf+HMpG5T+1VviOSC68RXptwqQznKBV2jjuB2qAPLtbk4JCkcHuf3rTWHg78X4YvdSlc+bErTxNu5KCqm5KMMM1ll7ZlFlKW58xd3lsVYdx81EkG9jKGyp6EVPD728xud4AYHuajSwGAMuPQTlcVkxvumc7zGB8ea9CmXMKoOnU0wWI55Jo027SOlCVy2M1nijy0pX7M9q8vmXJBB9NQM8VLv2Q3Mm05ye9RGBB+KySRSyVpnErsegWlYs8h+a7T/T5jEDHAp7aAxx0rLH0UkdEh2kMP3riIx6Wz806CRgYJFGsUUnEmBVyoCHYy+WcAdKlu3mp5gA396jyBQx2YxSxybQcjn/Wg+yt1HJujnrtFMDpT142+4YjtxTIrTl7ZlQtKaSlJqpJxoCOKKkNAAvBo85oCeaIUAQGaXFIDS9TQCgClFcOtJnmgC60WKHORRg881dANPYijGO45psHFODr1qSGPoMgZ4olAJz7UEXJFPRYabBGKEEuDCoOTVrGP4Y+1VsfqYKuOtWa/l2kde9GQKp7Z6UWOaBRg9T/ACpxcjjv71UCgH2xRgfFJlhwQDRcHoMcUByjAwBmnFJC89aZDc9cZpc85JoBS+M84pAc/BpGyT04pB+YA8UAkOQX3dzkUr+puMjFGm1c7s9aadsM2KkAlSOtcU468UJkJADDFcxbH+lARZh1x2OaqNQYYJ56HHzVtcdT1Bqlv242nmhVezU6SpGmwZ6bKdlO1Oh6UGnArYwjkYQYpZ2JU+1SixRJ/SnFTd1IUU2hA4bpXPy3HaoA8fS4wenf3rsBjwBnPWkByB80S4HagHFY5Ge9OjI600MbgcUbMSQaigFLILe3Mz8Af1rP2PiS9sdTXUIZCrpkAA4BHtT+r3TSyGJGIC9R81Ux27SK7KhYDgkdqrJclTMsJOLtF9FOJ8SDjcS386sIORnFUglWJUbOQRtAHYVbWs3pUHkGtZwo9h4/aWWKTLG3zFIksZw6ncK9e8DTaR4ptxHLbQJfR43rger5FeSW4DferDTrufTbqO4tpGilTlWBxWLJDkqOnk1Y5I2vZ9DxeFbRwMx8DpU6Dw/bwMDHEBg9hWX8GfUP+2oVhuWRLpANwP6vkVrk1rHaIfvWh+jl7SOJm2FilxyeyYtpjHHNP/h8DPFVc2ulR+aMH4FV8mt3tySkMcr5P6RV1ozfswS34L0T9YceQ0S+piOgrFr4Otbq9F1qRVkQ7hH7/etPDomv6icrAYkP6n4pvUPBeuWmJURL2PGWEbesfsetbuHBHGc/Psyn6IXiLw1B400GfRIkEa+WWhCjGHHQCvm6xSTSdQms7qIh4naJ1YfNfUfh7U0t7yKJ1MUsci5Vxtbr3BrH/X76axWurf8A5DpyCNboZkC8DzB/zWzNdGfxex8eWpemeMSxxXamPGMn0nvkdRW1+neoGRpNMvNrRsDGEboQR/xWGjnKzLgEBiMfDdKu9Bvf7O1u2uccBssB3I7VhPT7uH5cLr2M+MdEttFvfLt1ZAxJ2noMdKzd6B5cbA547V6j4+sRqPh7TNZCAqZmUn2DHIFeZX1uYUyrBl3HjuKyQ/ccjZzctSpeyECMY71HvGKwMQce1ScIVPqxUS+uI4YDGfUTW0keUkUMgLvl+fmm2jPJU8U+V6tQOdo+9ZH2VDtiUicdsjNPbw2AOmajRMSjD3o4yc4NWi+iGiar7QP1UvolYAxtkc5FMRq2cj96mRAMuSuCOcishUSTHRRk0CEBssc7ecVzyZ6Uy+6KGSdiPYCj9BeyuZt7s2epJpaQfNKDitJvszHZrq412KgC0Jpc4oTxzigJmk6YdSlbL7UT8xpm9tjaXTwnOFPBI6irzwxC0cEk7dJDxim/E9sCY7pOc+lqmgUVLmkFFQC5rgBSY+aUVACHFF1oRRDHY1dAMCjHFNijU81JDHlyPj4qRCvVjnNRlI3D+dS0UjvQgmWg3SAd+9WeCRyOagacqKWZt3AwKmM+T6c7veoZA8seOSMHtRFN54PI602JNvBOD80hlIbr1qASAuQPagd+AQD+9JHOc4NGWB4oDkcFDu60S7QcEfaml+2KLA96AU43dSBRMyKNwPSmjnnGKTjpjNAGhD8twabk2lu+M0UbDnA5oGbnpipAQjBPX7CmjlevSiU7unXGKBwcjA4oCNMeDuOapdQGXxjB96uZvY8nFU18cuAPcUI+zXWgYQR8jAUH+lDccAnPWnIPTDGQf0jimbkkgj4qUSUWAVz0NEmR05pkMRxn4p1MnvgVAHk9sUXQ8UMb7WzgEUQJOTUAdhPP+1LK4WORlHQd6bDYwRwaC8824CWdpDJPcTnCxoMk1JKKaYGQE5yxPWn7aK4e2MUKbY88nHJr0f6f/Shtcs5bnW1ktGclIo+hyO9bNPovZR2wMc80Oweog8N9qJMvySPF9M8O3Wr3SQxjCx98cAVb6r4bm0FI3LF4yME46GvZdE8FW/h5WCMJkk4O8VE8YeFFntHa2dWRx/hNyP2NJY7Rtae38ORM8os3UgLnn2+asFiLgnGBVPcQyaVdm3kVkIPG7vVnZXO/054z3rSkmj3utnjkimiVazS2c6ywsVdTkEda9++mOpeHfFlqlteqYtSQepS3EnyK8EdNp3A/yqfpF9Pp1zHcW8jxSIQysvUH4qsZ8VZi8how2I19n1zB4R0aHGLRSfc81YxaVaQLiGCNB8LWZ+n3iO+1bRrdtXQR3LDg93HuR2rZDpWbFnx5VeN2eGzYp4Z8JDH4RPYULWuPy1KyMY70zduY7aRgeQvH3q7SMds8u+oNpLrd2gsRErWjkFwMNI3tn2FZPWta1GTSDp2qLMOQBI3qHtVzrGn65ol6zrmaR2LGMfPeq2fxGlwfI1uxMMC4JXrk/Necy7Oxjz101/H2e11NaCwpRSl/k8F16yl0/VLq1ZNskcpxg9QeQaNC8scM0Z5wHAHXI61bfUu4tZ9bW4sn3JjaWx1A6H+XFVvh3ZNcJGzbUL9fYGuzGfJJm7hb4NSPXYdIOtfStkjUuJoTOAeqyIf9wK8Fu5vOZiwIbd0r6Y+n2l3mmaZLBMVawlw8C55XPXNeD/Ubw8fDXiq+tPK/gyt5sJP+U+1NXJ+bizynlIv3H0ZRsFutVWoAtI0h/IDgVZSsqKCetFHZWt/B5TZSc9Gzwa6kF0efbM8SCCVIxQPz3FP3en3Fm5SVMBe46Gop68H+dSLHoLV5LeWZeQhFNK+TVjbJ+GiIDZ3cn2oHgtJZeA6Z9ulWUSLAtn3jJ96lDZgnP7U15KZ2xynjsRUkwiFA5UODVyrIQBeTCdM0Gq5Ro488YyR7mrKJizhUjVVPsKqtUZjfyKedoAqmX0WiRQKWkFEK1jIIKWuxXVAENCqtI4QdWOBRGpGlw+dexL2ByakGqsrcW9tHEOiDvQX8H4uyliwA2CQfY1IzkHmu9s/epBh+hwRgjilFS9Ztvw1++0el/UKiDvUAWlpKIc1AOzRD3pOOlKOBjBqyAY560YxTY4JpxOftViB1ASV+/NTVGCOuKiRHDADvUxD2J4oCztYGFt5nGG5olbPTrUm2VTAseMemmpIPLbcP5e9QQwQRL6WO0+5p9oPQMfzqOZVc4IK/tRrK0ICklgaggQnBx0NHH5gYkjj5rhGSc44NOnaqbQ3OKAQSbj7YFEzhiMe3amcgYx0PU13mdsZ9jQDrDAzmkXB9hxQ7t67sc1xIz9qAQAhsZ4zRSIwcnjFDuOcrj3puUuXODmpA4Gx1pqRs55IFInqkCg/ekn4YLjp1NAMS8KapLpR5wHJG4c/vVxKAQeuKqJf+pjXn84A/nQGyTCooHsKj3LDDH4p8gFelRLrPlSfapQKReTTinimo8kdcfFOBtp4qAOA/NOAgjgmms5I4ohyepANQA5ZhbxGUjdjt3Jr2P6OeCP7OszrGp26i/u2ygYZMUfYfBrzbwTpsGt+M9LsbgZgDmZgRwdoyB/OvpO0VEdEHCjipXsl+iFqcK2zxCIBVjOePera3lGoWAUMAw6io2pQZQnqarbO5ksJNy8r3FS+glZfQW4ZCjqCM+1OHw5ZPbSRsNwY7gG7fanbG7hu4w6kc1YqgKe9RyJ40fP8A9XvDJ0mS3uIsPGX25PUfFYNJCpGMA17/APUnSP7Y0qa2PDj1KfY18/TW8tlM1vOpWQHGCOtYMy7s9T4bYThxfsvbeQyRqDj5r0L6b+Cl1i5/tC8Qm0gb0Kf+43/FYnwVoF14j1OOzgU7MjzX7IvfNfR+m6dBpdlFZ2yBY4l2gV5D+oPK/Bj+LG/yZ3djY/HivZIikMLAqQu3p8VY6H9R9JvL19NefEsfG8j0t715z9R/F39j2f8AZ1m6/iph6yDyimvLdL1G8tNQiltS/n7xt7ljWH+mdfLrxebI+n/JzsugtiFy6PseKSOdBJE6up7qcim7wbo1j7yOF/asFpRv7azgu4iYZ5FDSwK3p3d8e1XEHiC6u2iPnIfJYsysuG6dDXs8WaGWPKDtHkssHCXFi+PYZ4bFL61jDyRtsZcdVNeeTeINOuA1vqlsIifSd68V688kOsafIq/mIOUPUGvK7y70m+nltdQt1SRGKEsOpBx1rz/mdZc1k4v/AGj0vgsylBwkm2v4MR4j+nel61PHd6VIuw5EiBu3xXly6dc6RqklpKuArbcHvg4r3mfwhC6mTSLwxZHQNkVVL4Ui1W8urfWLRRMdpDqe+PzD71k8XsRmvj5W/wDJ0NrYjgqV2n7/AMGu8PTJNptsYxhdi7R7DFYD6++Gze6LBrMKbpLQ7Xx12mtp4dsZdHtUsZnMjJkB/cVba1pcOt6Pc2E4BSeMrz2rad4s1nGlWbG6Pim73O2SeOtdb3Dxng8dDVjr+ky6Jqt3Y3GQ1vIU5HUDpVbuTPB746V6CDtWjzE04yplvDPDeYjlAcimNY0SCGLzQAo64x0quureW1mSQF1DYII7UuqahqE0CQzurx9mA5qxAoaOS3ULjPaokimNiTmniG/DqIgCRzim1uoXH8U7T7Gp5IULao91cpFF+dj1+Ksbq2jSf8PHIWCD1ZOeaPw3c2a3jTGRFCKfzcUs1/ZyXDvvjJJ6g4qIy7oyOP42joY9i5CfuaodXAGoy9skH+la+z068vYXmht3/DqpcyuNqkAdves14jt1juYJQCBPCHNVyyVdD45R7kirpRSUvbNa5Itcetd813agAbmrjw/Ht3zkZ/SKp2B61pNOQRWMYA5PJqUQWKykrlRx3FdvJB6j700jFQuBmj3kn2qRZV+ILYSWqTjqhwftVAhrV3MJngki67gf51lMFXYEcg4qGSLnPFFnFCMUtQAh70QoftSirIBg98U6n9KaXg804o/epIJEON49hU62QvOq+7VBgO6QACrKwT+Oh6d81ILeUtG2AR7YzXAgksT070QCFgWGSehpZYt68YUZzj3qCrYEsSsA/AYU2JBGDwpPYU4zRk7RncRgccUSwDcVKEkjrQhMaaTco28Z70JQjLkk/ahvFNuNxHHbFOW0nmRcNxihIIcO4GOKeKrgCouSh5p+OQ7iCecUAu5EyAeDQh1IPv1pqRdxOCBj3ptWIPc0A+Imcn1bR7UQTZjdyaa8/EZxkMDxQ7vMJZ3IPtQDzsgQ4wDnqKYlGc7GyO5omeJUO3oTyPmhZyVZhkA9jQEaZ2IIFVRO69hGesgzVlKfTjNV0ADalAuf1igNtsGAR7d6rb4fwXPfFWcZKxFcc+9VeotiJ/2qUCiUkUanB5plcYyfanPaoA+pyM0Q6imhyOBTikAgVANP9MN7fUSwIPpWKT/SvoOKXDDnBBzXz/8ASdd3j6Mk8Lbu2P5Cveg3qB9qrypmSrLe5Xz4Qye3NQWsxtzipFncDbtIyKsPKE8R2istpop2vRm0lm0yYMpPlk8itPpmppdRggjPcVVXtiZEKlc1SxSzaZccE4z0rE+mZF2jUeIbQXFvvXkgc15R4n8M22qqwwEmHRh1r1ex1SK+h2lhlhgisr4l05reRpox6arNckzJiySxyUolv4F0fTtE0KBNPAYyAGVz+Zm75q28QeI7Xw5pr3c7jeQRGhPLGsDoXip9JS4EcXn+kssOeSw9q8213xjf+JdSee9dgoJCxdkH/NeEy/0/lybjnldxPW6maGwkT9T1GbVr6W8ncmSRiTk54r036aeDkht11q+iBmkGYUb9A96xf058KS+JL8XMyEWNuQXY/qPsK94jCJGqooCIMADoKp57yKxQWrg9m9s5qXCIX4qO3hkkncLEqksWPQe9V9veW+s2yX1jPhz+WUd/givMPqd44a8nbSLGQrbxnErr+s+32qL9MPFf9m3x0y4k/gXBHlk9Fb/5rrf01r5cGH+6/Zx9/wAc54flXtHtul6rJHMFYeXcoOU7P9veq3xJBpF1c/x0SN5RuA6EHvTh8u7jVWyrA5V16qaj3+nprCCC5Gy6j/w5F43j/wC9q727q/Pj4p0zj+O2fgzJydIo38O3VqvnaVfH4QmjsJL8Tzvfx+XNG0YyP1DGM0raNqFkxNhdElOWhfr/AP8AKfSe6uoboXcIimSNMD3HvXD8djlDZ4zaf/6ei8vl56rcZKS/n7JcvFwhB46VaQncAOpqquOQkg+DU+wnWQjNdXeh2pHF8dO4tHhX/qM8JNZ3dvr9tGRFP/Dn+GHQ/wC1eFiQ7hz05r7i8a6DH4j8N3tmyK7NGWTIzyK+PdS8NqbiVLY+VKjFWibse+K3dLPceLNPe16lyQFzdQXmmBcDcox81XPZtFYQztJnzCRtPYU3PZ3dkwSWJlBOCe1WmpQ7rCHy8Mqdu4rblk7NGON0V0TgjGcGot3DGrgsAaeKMvxx2q08N6Ha69cPDc3LROvKqvVqjlXbJUbdIZ0vTdIuIjLO+wr2PerOBrKIgx+H4ZwvO4f61Ph0rTNMuHi8kO8TYy5zWh0TVNLhsbqW5RDNtxGgH6qieSlaEY90zUeGbweNfD13Zapp8lkEi8u3dBtUD49zWK+q2m6bYeHrWxsYgXsWTfKfzYNavRdcvJ0srScx2kTDuMZq4vtO0S5a7aeA38hTMo25UAdK5+Wco5E2dG1kx9HzCpoxVh4jsV07WruFIvKi3loxnI2npiq4dPvW4nZzmqCxSYpRXE4qQJGvmTInPJrVoFVByOBxWe0uLzbtSRwvNaIgEY6e1SiGFtC+2TzXFsqcdfamGZs8de1OK2PapIQqyeWVf56Vl9QXZeTDp6ia1AJY+/3qh1+LbehsY3KDRklfS0NKDxVSQhRDikwDRAVKAobmnV4/emcDOacHPGasQSrYesc1aWe3zQDnFVVsMSD3q4sSplCt6sjNATQ6oAApP3o4mJIbp7ZpEbACnGT0px3idwpYqR/WhRhCdDlmHQ4pEuXztRVMZ5yeopZFH5QARjORTQ2ISPMGSOBQqOyATnBA6dD0oFhUYZQEJ4IFIjKBhSQfeuJeNtwfPtQshiYMrcdPkUG9lOferCaQyxhyvIHNVzgb+4BoSI0hOeOf9aRWwcHFEyqG9Jx2zTZBDnsDyKAejUuTtAJAzS7VI8wcHuKYVsvyP605hhyDx1xQCOwbgjocg0hbjAOQKB3yNrDpQh9o+KEWMzEFTtHJP8qgWQzq0I6nfU+dgMnGBULTcHV4cnOCTigRsxkR5zwc1V3/AKoz8mrVtpjxgjAqov22jOOOlSiT/9k=" alt="Pinar Yanardag with her children in Harry Potter costumes on Halloween" />
          <span class="portrait-cap">Me &amp; my kids on Halloween</span>
        </div>
      </div>
    </div>

  </div>
</section>

<!-- ======================= ABOUT ======================= -->
<section id="about">
  <div class="wrap">
    <span class="sec-num reveal">01 — About</span>
    <h2 class="about-statement reveal" style="font-family:'Fraunces',serif;color:var(--maroon);font-size:clamp(2rem,3.6vw,2.8rem);margin-bottom:.7em;line-height:1.12;max-width:760px;">Generative models can imagine almost anything: we make them controllable.</h2>
    <div class="about-grid">
      <div class="about-body reveal">
        <div class="bio-card reveal">
        <p>Modern generative models can synthesize nearly any image or video — yet steering them precisely, efficiently, and faithfully is still hard. Making these systems controllable, interpretable, and accessible is the key focus of my research.</p>
        <p>I am a tenure-track Assistant Professor at Virginia Tech, in the Department of Computer Science, where I lead <a href="http://gemlab-vt.github.io/" target="_blank" rel="noopener">💎 GEMLAB</a>. I am also a member of the <a href="https://sanghani.cs.vt.edu/" target="_blank" rel="noopener">Sanghani Center for AI and Data Analytics</a>.</p>
        <p>Prior to joining Virginia Tech, I was a postdoctoral researcher at <a href="https://media.mit.edu/" target="_blank" rel="noopener">MIT</a>. I received my Ph.D. in Computer Science from <a href="http://cs.purdue.edu/" target="_blank" rel="noopener">Purdue University</a>, where I was advised by <a href="https://scholar.google.com/citations?user=tqcSvFIAAAAJ" target="_blank" rel="noopener">S.V.N. Vishwanathan</a>. I completed my M.S. under the supervision of <a href="https://scholar.google.com/citations?user=lXYKgiYAAAAJ" target="_blank" rel="noopener">Ethem Alpaydın</a> at <a href="https://cmpe.bogazici.edu.tr/" target="_blank" rel="noopener">Boğaziçi</a>.</p>
        <p>Beyond academia, I was CEO of <a href="http://www.ai-fiction.com/" target="_blank" rel="noopener">AI Fiction</a>, a creative design studio specializing in AI, and I co-founded <a href="https://www.vice.com/en/article/vb9pgm/this-clothing-line-was-designed-by-ai" target="_blank" rel="noopener">GLITCH</a> — the world's first generative-AI clothing line. At MIT, I launched the <a href="http://www.howtogeneratealmostanything.com/" target="_blank" rel="noopener">How to Generate (Almost) Anything</a> project and <a href="https://www.washingtonpost.com/news/morning-mix/wp/2016/10/24/clinton-trump-the-white-house-too-terrifyingly-transformed-by-mits-nightmare-machine/" target="_blank" rel="noopener">Nightmare Machine</a>.</p>
        <p>In a past life — long before I worked on making models behave — I was a security researcher who <a href="https://www.tenable.com/plugins/nessus/39451" target="_blank" rel="noopener">broke</a> software on purpose, and a core developer of a <a href="https://en.wikipedia.org/wiki/Pardus_(operating_system)" target="_blank" rel="noopener">GNU/Linux</a> distribution.</p>
        </div>
      </div>
      <aside class="factcard reveal">
        <h4>At a glance</h4>
        <ul>
          <li><strong>Position</strong><span>Assistant Professor, Virginia Tech</span></li>
          <li><strong>Ph.D.</strong><span>Purdue University</span></li>
          <li><strong>Postdoc</strong><span>MIT Media Lab</span></li>
          <li><strong>Fellowships</strong><span>Fulbright &middot; Google Anita Borg</span></li>
          <li><strong>Recent honor</strong><span>NSF CAREER Award (2026)</span></li>
          <li><strong>Plot twist</strong><span>Emmy-nominated <a href="https://www.imdb.com/name/nm11795142/awards" target="_blank" rel="noopener">Creative Director</a></span></li>
        </ul>
      </aside>
    </div>
  </div>
</section>

<!-- ======================= RESEARCH ======================= -->
<section id="research" class="sec-stone">
  <div class="wrap">
    <div class="sec-head reveal">
      <span class="sec-num">02 — Research Program</span>
      <h2>We leverage internal priors in diffusion and generative models to unlock hidden capabilities.</h2>
    </div>

    <div class="research-grid">
      <article class="rcard reveal">
        <div class="rnum">01</div>
        <h3>Discovering and Leveraging Latent Capabilities for Efficient Control</h3>
        <p>My research uncovers and exploits the internal representations of generative models to enable efficient, training-free control of image and video synthesis.</p>
        <div class="tagrow">
          <a class="tag" href="https://conform-diffusion.github.io/" target="_blank" rel="noopener" title="CVPR 2024">CONFORM</a>
          <a class="tag" href="https://fluxspace.github.io/" target="_blank" rel="noopener" title="CVPR 2025">FluxSpace</a>
          <a class="tag" href="https://noiseclr.github.io/" target="_blank" rel="noopener" title="CVPR 2024">NoiseCLR</a>
          <a class="tag" href="https://rave-video.github.io/" target="_blank" rel="noopener" title="CVPR 2024">RAVE</a>
          <a class="tag" href="https://motionflow-diffusion.github.io/" target="_blank" rel="noopener" title="AAAI 2026">MotionFlow</a>
          <a class="tag" href="https://inverse-dvs.github.io/" target="_blank" rel="noopener" title="NeurIPS 2025">Inverse-DVS</a>
          <a class="tag" href="https://infinity-rope.github.io/" target="_blank" rel="noopener" title="CVPR 2026">&#8734;-RoPE</a>
        </div>
      </article>

      <article class="rcard reveal">
        <div class="rnum">02</div>
        <h3>Integrating Cross-Modal Capabilities for Advanced Generation Tasks</h3>
        <p>My research bridges vision and language, unifying the reasoning of VLMs and LLMs with the generative priors of visual models to enable tasks beyond either modality alone.</p>
        <div class="tagrow">
          <a class="tag" href="https://crea-diffusion.github.io/" target="_blank" rel="noopener" title="NeurIPS 2025">CREA</a>
          <a class="tag" href="https://explain-in-diffusion.github.io/" target="_blank" rel="noopener" title="CVPR 2025">DiffEx</a>
          <a class="tag" href="https://personalized-editing.github.io/" target="_blank" rel="noopener" title="NeurIPS 2025">C-DPO</a>
          <a class="tag" href="https://diverse-video.github.io/" target="_blank" rel="noopener" title="CVPR 2026">DPP-GRPO</a>
        </div>
      </article>

      <article class="rcard reveal">
        <div class="rnum">03</div>
        <h3>Personalized, Human-Aligned, and Democratized Generative AI</h3>
        <p>My research moves beyond one-size-fits-all generative AI with methods for personalized content generation, and democratizes generative AI for creators.</p>
        <div class="tagrow">
          <a class="tag" href="https://loraclr.github.io/" target="_blank" rel="noopener" title="CVPR 2025">LoRACLR</a>
          <a class="tag" href="https://clora-diffusion.github.io/" target="_blank" rel="noopener" title="ICCV 2025">CLoRA</a>
          <a class="tag" href="https://lorashop.github.io/" target="_blank" rel="noopener" title="NeurIPS 2025">LoRAShop</a>
          <a class="tag" href="https://plotnpolish.github.io/" target="_blank" rel="noopener" title="AAAI 2026">Plot'n Polish</a>
          <a class="tag" href="https://stylebreeder.github.io/" target="_blank" rel="noopener" title="NeurIPS 2024">Stylebreeder</a>
        </div>
      </article>
    </div>

    <div class="capline reveal">
      <h4>Check out our work</h4>
      <p>Find papers, code, datasets, demos, and more on our <a href="https://gemlab-vt.github.io/" target="_blank" rel="noopener">website</a>.</p>
    </div>
  </div>
</section>

<!-- ======================= NEWS ======================= -->
<section id="news">
  <div class="wrap">
    <div class="sec-head reveal">
      <span class="sec-num">03 — News &amp; Notes</span>
      <h2>What's new</h2>
      <p>Recent papers, awards, and recognition from the lab.</p>
    </div>

    <div class="news-list">
      <div class="news-item feature reveal">
        <div class="when"><span class="badge">Award</span><span class="date">May 2026</span></div>
        <div class="what">
          <h3>Awarded a National Science Foundation CAREER Award</h3>
          <p>Honored to receive the NSF's CAREER award — its most prestigious recognition for early-career faculty — supporting our research and education in controllable, accessible generative AI. <a href="https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2543524" target="_blank" rel="noopener">Award details &#8599;</a></p>
        </div>
      </div>

      <div class="news-item reveal">
        <div class="when"><span class="badge">Service</span><span class="date">May 2026</span></div>
        <div class="what">
          <h3>Named an Outstanding Area Chair for CVPR 2026</h3>
          <p>Recognized for outstanding service on the program committee for <a href="https://x.com/hashtag/CVPR2026?src=hashtag_click" target="_blank" rel="noopener">#CVPR2026</a>.</p>
        </div>
      </div>

      <div class="news-item reveal">
        <div class="when"><span class="badge">Papers</span><span class="date">Mar 2026</span></div>
        <div class="what">
          <h3>Four papers accepted to CVPR 2026</h3>
          <p>The lab will present four papers at CVPR 2026, including <em>&#8734;-RoPE</em> for infinite, action-controllable video and <em>DPP-GRPO</em> for diverse video generation.</p>
        </div>
      </div>

      <div class="news-item reveal">
        <div class="when"><span class="badge">Award</span><span class="date">Jun 2025</span></div>
        <div class="what">
          <h3>ConceptAttention received Best Paper recognition</h3>
          <p>For concept-level interpretability in diffusion models, at the CVPR 2025 Visual Concepts Workshop.</p>
        </div>
      </div>

      <div class="news-item reveal">
        <div class="when"><span class="badge">Papers</span><span class="date">Sept 2025</span></div>
        <div class="what">
          <h3>Four papers accepted at NeurIPS 2025</h3>
          <p>Including <em>LoRAShop</em> (Spotlight) and <em>CREA</em>, spanning efficient personalization and creative generation.</p>
        </div>
      </div>

      <div class="news-item reveal">
        <div class="when"><span class="badge">Papers</span><span class="date">Feb 2025</span></div>
        <div class="what">
          <h3>Three papers at CVPR 2025</h3>
          <p>Including <em>FluxSpace</em> and related work on controllable, interpretable generation.</p>
        </div>
      </div>

      <div class="news-item reveal">
        <div class="when"><span class="badge">Papers</span><span class="date">July 2025</span></div>
        <div class="what">
          <h3>Two papers accepted to ICCV 2025</h3>
          <p>Including <em>CLoRA</em>, selected as a Highlight.</p>
        </div>
      </div>

      <div class="news-item reveal">
        <div class="when"><span class="badge">Papers</span><span class="date">Feb 2024</span></div>
        <div class="what">
          <h3>Three papers accepted to CVPR 2024</h3>
          <p>Including <em>NoiseCLR</em> (Oral) and <em>RAVE</em> (Highlight).</p>
        </div>
      </div>
    </div>
  </div>
</section>

<!-- ======================= PUBLICATIONS ======================= -->
<section id="publications" class="sec-stone">
  <div class="wrap">
    <div class="sec-head reveal">
      <span class="sec-num">04 — Selected Publications</span>
      <h2>Recent papers</h2>
      <p>A selection of recent peer-reviewed work.</p>
    </div>

    <div class="pub-list">
      <div class="pub reveal">
        <div class="yr">2026</div>
        <div class="meta">
          <span class="title">Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges from Autoregressive Self-Rollout</span>
          <div class="authors">Yesiltepe, H., Meral, T. H. S., Akan, A. K., Oktay, K., <b>Yanardag, P.</b></div>
          <div class="venue"><em>CVPR</em> 2026</div>
          <a class="doi" href="https://arxiv.org/abs/2511.20649" target="_blank" rel="noopener">View &middot; arXiv &#8599;</a>
        </div>
      </div>

      <div class="pub reveal">
        <div class="yr">2026</div>
        <div class="meta">
          <span class="title">Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization</span>
          <div class="authors">Kazimi, T., Dunlop, C., <b>Yanardag, P.</b></div>
          <div class="venue"><em>CVPR</em> 2026</div>
          <a class="doi" href="https://arxiv.org/abs/2511.20647" target="_blank" rel="noopener">View &middot; arXiv &#8599;</a>
        </div>
      </div>

      <div class="pub reveal">
        <div class="yr">2025</div>
        <div class="meta">
          <span class="title">CLoRA: A Contrastive Approach to Compose Multiple LoRA Models</span>
          <div class="authors">Meral, T. H. S., Simsar, E., Tombari, F., <b>Yanardag, P.</b></div>
          <div class="venue"><em>ICCV</em> 2025 &middot; Highlight</div>
          <a class="doi" href="https://arxiv.org/abs/2403.19776" target="_blank" rel="noopener">View &middot; arXiv &#8599;</a>
        </div>
      </div>

      <div class="pub reveal">
        <div class="yr">2025</div>
        <div class="meta">
          <span class="title">LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers</span>
          <div class="authors">Dalva, Y., Yesiltepe, H., <b>Yanardag, P.</b></div>
          <div class="venue"><em>NeurIPS</em> 2025 &middot; Spotlight</div>
          <a class="doi" href="https://arxiv.org/abs/2505.23758" target="_blank" rel="noopener">View &middot; arXiv &#8599;</a>
        </div>
      </div>
    </div>

    <div class="pub-foot reveal">
      <a class="btn btn-primary" href="https://gemlab-vt.github.io/" target="_blank" rel="noopener">
        <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M5 12h14M13 6l6 6-6 6"/></svg>
        See all publications at our lab website
      </a>
      <span class="pub-note">Project pages, code, and demos for most papers at <a href="https://github.com/gemlab-vt" target="_blank" rel="noopener">github.com/gemlab-vt</a>.</span>
    </div>
  </div>
</section>

<!-- ======================= TEACHING + SERVICE ======================= -->
<section id="talks" class="sec-stone">
  <div class="wrap">
    <div class="sec-head reveal">
      <span class="sec-num">05 — Recent Talks</span>
      <h2>Recent Talks &amp; Keynotes</h2>
      <p>Recent keynotes and invited talks on generative AI.</p>
    </div>

    <div class="talk-list">
      <div class="talk reveal">
        <div class="t-when">Jul 2026<span class="t-soon">Upcoming</span></div>
        <div class="t-body"><div class="t-title">Keynote &middot; From Frames to Stories</div><div class="t-where">ICML 2026</div></div>
      </div>

      <div class="talk reveal">
        <div class="t-when">Jun 2026</div>
        <div class="t-body"><div class="t-title">Keynote &middot; The Art of Taming Generative AI: From Prompting to Creative Direction</div><div class="t-where">AI for Visual Arts Workshop &middot; CVPR 2026</div></div>
      </div>
      <div class="talk reveal">
        <div class="t-when">Jun 2026</div>
        <div class="t-body"><div class="t-title">Keynote &middot; Leveraging Hidden Priors for Training-free Control: From Long-Horizon Video to Interactive World Models</div><div class="t-where">AI-assisted Long Video Creation Workshop &middot; CVPR 2026</div></div>
      </div>
      <div class="talk reveal">
        <div class="t-when">Jun 2026</div>
        <div class="t-body"><div class="t-title">Keynote &middot; The Other Half of Personalization: From Customizing Concepts to Personalizing Taste</div><div class="t-where">Personalization in Generative AI Workshop &middot; CVPR 2026</div></div>
      </div>
      <div class="talk reveal">
        <div class="t-when">Apr 2026</div>
        <div class="t-body"><div class="t-title">Invited Talk</div><div class="t-where">University of Michigan &middot; Department of Computer Science</div></div>
      </div>
      <div class="talk reveal">
        <div class="t-when">Sep 2025</div>
        <div class="t-body"><div class="t-title">Invited Talk</div><div class="t-where">Virginia Academy of Science, Engineering &amp; Medicine &middot; The Next Generation of Generative AI</div></div>
      </div>
    </div>
  </div>
</section>

<section id="teaching">
  <div class="wrap">
    <div class="sec-head reveal">
      <span class="sec-num">06 — Teaching &amp; Service</span>
      <h2>Teaching &amp; Mentoring</h2>
      <p>Below are some of the courses I&rsquo;ve recently taught.</p>
    </div>

    <div class="two-col">
      <div class="reveal">
        <h3 style="font-family:'Fraunces',serif;color:var(--maroon);font-size:1.5rem;margin-bottom:.8em;">Recent Teaching</h3>
        <div class="course"><span class="code">Grad</span><div><div class="ctitle">Fantastic Generative AI Models and Where to Find Them</div><div class="cmeta">Diffusion, rectified flow, and modern generative AI</div></div></div>
        <div class="course"><span class="code">Grad</span><div><div class="ctitle">Computer Vision</div><div class="cmeta">Foundations and modern architectures</div></div></div>
        <div class="course"><span class="code">Ugrad</span><div><div class="ctitle">Creative AI Capstone</div><div class="cmeta">Project-based studio in generative &amp; creative AI</div></div></div>
        <div class="course"><span class="code">Ugrad</span><div><div class="ctitle">Professionalism in CS</div><div class="cmeta">Ethics in AI</div></div></div>
      </div>

      <div class="reveal">
        <h3 style="font-family:'Fraunces',serif;color:var(--maroon);font-size:1.5rem;margin-bottom:.8em;">Recognition &amp; Awards</h3>
        <ul class="list-clean">
          <li>Best Paper — CVPR Visual Concepts Workshop<span>2025</span></li>
          <li>Best Paper — NeurIPS CTRL-GEN Workshop<span>2021</span></li>
          <li>Best Paper Honorable Mention — ACM Creativity &amp; Cognition<span>2022</span></li>
          <li>T&Uuml;B&#304;TAK 2232 Outstanding Researcher Fellowship<span>2019</span></li>
          <li>Fulbright Fellow &middot; Google Anita Borg Scholar<span>2010</span></li>
        </ul>
        <h3 style="font-family:'Fraunces',serif;color:var(--maroon);font-size:1.5rem;margin:1.4em 0 .8em;">Professional Service</h3>
        <ul class="list-clean">
          <li>Area Chair<span>CVPR &middot; ICCV &middot; ECCV</span></li>
        </ul>
      </div>
    </div>
  </div>
</section>

<!-- ======================= CONTACT ======================= -->
<section id="contact" class="sec-stone">
  <div class="wrap">
    <div class="contact reveal">
      <div class="contact-grid">
        <div>
          <h2>Let's talk generative AI.</h2>
          <p class="sub">Interested in collaboration, prospective graduate study, or industry partnership? I'd love to hear from you.</p>
          <div class="cbtns">
            <a class="btn btn-primary" href="mailto:pinary@vt.edu">
              <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><rect x="3" y="5" width="18" height="14" rx="2"/><path d="m3 7 9 6 9-6"/></svg>
              Email me
            </a>
            <a class="btn btn-ghost" href="https://scholar.google.com/citations?user=qzczdd8AAAAJ" target="_blank" rel="noopener">Google Scholar</a>
          </div>
        </div>
        <div class="cinfo">
          <div class="row">
            <span class="ico"><svg viewBox="0 0 24 24" fill="none" stroke-width="2"><path d="M21 10c0 7-9 12-9 12s-9-5-9-12a9 9 0 0 1 18 0Z"/><circle cx="12" cy="10" r="3"/></svg></span>
            <div><div class="k">Office</div><div class="v">Department of Computer Science<br>Virginia Tech<br>Blacksburg, VA 24061</div></div>
          </div>
          <div class="row">
            <span class="ico"><svg viewBox="0 0 24 24" fill="none" stroke-width="2"><rect x="3" y="5" width="18" height="14" rx="2"/><path d="m3 7 9 6 9-6"/></svg></span>
            <div><div class="k">Email</div><div class="v"><a href="mailto:pinary@vt.edu">pinary@vt.edu</a></div></div>
          </div>
          <div class="row">
            <span class="ico"><svg viewBox="0 0 24 24" fill="none" stroke-width="2"><circle cx="12" cy="12" r="9"/><path d="M3 12h18"/><path d="M12 3a14 14 0 0 1 0 18 14 14 0 0 1 0-18Z"/></svg></span>
            <div><div class="k">Lab</div><div class="v"><a href="https://gemlab-vt.github.io" target="_blank" rel="noopener">gemlab-vt.github.io</a></div></div>
          </div>
        </div>
      </div>
    </div>
  </div>
</section>

<!-- ======================= FOOTER ======================= -->
<footer class="site">
  <div class="wrap foot-inner">
    <div>
      <div class="fbrand">Pinar Yanardag, Ph.D.<span class="dot">.</span></div>
      <div class="foot-fine">Department of Computer Science · Virginia Tech · Director of GEMLAB</div>
    </div>
    <div class="foot-links">
      <a href="#about">About</a>
      <a href="#research">Research</a>
      <a href="#publications">Publications</a>
      <a href="https://gemlab-vt.github.io" target="_blank" rel="noopener">GEMLAB</a>
      <a href="https://scholar.google.com/citations?user=qzczdd8AAAAJ" target="_blank" rel="noopener">Scholar</a>
    </div>
  </div>
</footer>

<script>
  // sticky nav background
  const nav = document.getElementById('nav');
  const onScroll = () => nav.classList.toggle('scrolled', window.scrollY > 40);
  onScroll();
  window.addEventListener('scroll', onScroll, {passive:true});

  // mobile menu
  const btn = document.getElementById('menuBtn');
  const links = document.getElementById('navlinks');
  btn.addEventListener('click', () => links.classList.toggle('open'));
  links.querySelectorAll('a').forEach(a => a.addEventListener('click', () => links.classList.remove('open')));

  // scroll reveal
  const io = new IntersectionObserver((entries) => {
    entries.forEach(e => { if (e.isIntersecting){ e.target.classList.add('in'); io.unobserve(e.target); } });
  }, {threshold:0.12, rootMargin:'0px 0px -40px 0px'});
  document.querySelectorAll('.reveal').forEach(el => io.observe(el));
</script>
<script>(function(){
  'use strict';
  var reduce = window.matchMedia && window.matchMedia('(prefers-reduced-motion: reduce)').matches;

  /* ---------------------- Interactive gem particle field ---------------------- */
  var canvas = document.getElementById('gem-canvas');
  if (canvas){
    var ctx = canvas.getContext('2d');
    var SPRITE = 160;
    var COLORS = [[99,0,49],[72,0,31],[207,68,32],[229,117,31]]; /* maroon, deep maroon, orange, orange-bright */
    var dpr = 1, W = 0, H = 0, prevW = 0, prevH = 0;
    var sprites = [], gems = [], sparks = [];
    var pointer = { x:0, y:0, active:false, r:160 };
    var BG = '#fdfdff';

    function rgba(c,a){ return 'rgba(' + c[0] + ',' + c[1] + ',' + c[2] + ',' + a + ')'; }

    function spriteCtx(){
      var oc = document.createElement('canvas');
      oc.width = SPRITE * dpr; oc.height = SPRITE * dpr;
      var o = oc.getContext('2d');
      o.scale(dpr, dpr); o.translate(SPRITE/2, SPRITE/2);
      return { oc:oc, o:o };
    }

    /* Brilliant-cut diamond */
    function diamond(c){
      var s = spriteCtx(), o = s.o, R = SPRITE * 0.4;
      function P(p){ return [p[0]*R, p[1]*R]; }
      var tl=P([-0.45,-0.55]), tr=P([0.45,-0.55]), gr=P([0.95,-0.15]), cu=P([0,0.95]), gl=P([-0.95,-0.15]), tc=P([0,-0.55]);
      o.beginPath(); o.moveTo(tl[0],tl[1]); o.lineTo(tr[0],tr[1]); o.lineTo(gr[0],gr[1]); o.lineTo(cu[0],cu[1]); o.lineTo(gl[0],gl[1]); o.closePath();
      var g = o.createLinearGradient(0,-R,0,R);
      g.addColorStop(0, rgba(c,0.10)); g.addColorStop(0.2, rgba(c,0.30)); g.addColorStop(0.55, rgba(c,0.52)); g.addColorStop(1, rgba(c,0.28));
      o.fillStyle = g; o.fill();
      function tri(a,b,d,f){ o.beginPath(); o.moveTo(a[0],a[1]); o.lineTo(b[0],b[1]); o.lineTo(d[0],d[1]); o.closePath(); o.fillStyle = f; o.fill(); }
      tri(tl,gl,tc, rgba([255,255,255],0.16));
      tri(tr,gr,tc, rgba([255,255,255],0.08));
      tri(tr,cu,tc, rgba(c,0.20));
      o.lineWidth = Math.max(1, SPRITE*0.006); o.strokeStyle = rgba(c,0.5);
      o.beginPath();
      o.moveTo(tc[0],tc[1]); o.lineTo(cu[0],cu[1]);
      o.moveTo(tl[0],tl[1]); o.lineTo(cu[0],cu[1]);
      o.moveTo(tr[0],tr[1]); o.lineTo(cu[0],cu[1]);
      o.moveTo(gl[0],gl[1]); o.lineTo(tc[0],tc[1]);
      o.moveTo(gr[0],gr[1]); o.lineTo(tc[0],tc[1]);
      o.stroke();
      o.lineJoin = 'round'; o.lineWidth = Math.max(1.3, SPRITE*0.009); o.strokeStyle = rgba(c,0.82);
      o.beginPath(); o.moveTo(tl[0],tl[1]); o.lineTo(tr[0],tr[1]); o.lineTo(gr[0],gr[1]); o.lineTo(cu[0],cu[1]); o.lineTo(gl[0],gl[1]); o.closePath(); o.stroke();
      o.fillStyle = rgba([255,255,255],0.85);
      o.beginPath(); o.arc(tl[0]*0.45, tl[1]*0.85, Math.max(1.4, SPRITE*0.014), 0, Math.PI*2); o.fill();
      return s.oc;
    }

    /* Emerald / step-cut octagon */
    function emerald(c){
      var s = spriteCtx(), o = s.o, R = SPRITE * 0.4;
      var pts = [[-0.5,-0.85],[0.5,-0.85],[0.85,-0.3],[0.85,0.3],[0.5,0.85],[-0.5,0.85],[-0.85,0.3],[-0.85,-0.3]];
      var v = pts.map(function(p){ return [p[0]*R, p[1]*R]; });
      function ring(arr){ o.beginPath(); for (var i=0;i<arr.length;i++){ if (i) o.lineTo(arr[i][0],arr[i][1]); else o.moveTo(arr[i][0],arr[i][1]); } o.closePath(); }
      ring(v);
      var g = o.createLinearGradient(0,-R,0,R);
      g.addColorStop(0, rgba(c,0.12)); g.addColorStop(0.5, rgba(c,0.5)); g.addColorStop(1, rgba(c,0.26));
      o.fillStyle = g; o.fill();
      var in1 = v.map(function(p){ return [p[0]*0.62, p[1]*0.62]; });
      ring(in1); o.fillStyle = rgba([255,255,255],0.10); o.fill();
      var in2 = v.map(function(p){ return [p[0]*0.3, p[1]*0.3]; });
      ring(in2); o.fillStyle = rgba(c,0.18); o.fill();
      o.lineWidth = Math.max(1, SPRITE*0.005); o.strokeStyle = rgba(c,0.45);
      o.beginPath();
      for (var i=0;i<v.length;i++){ o.moveTo(v[i][0],v[i][1]); o.lineTo(in1[i][0],in1[i][1]); }
      for (var j=0;j<in1.length;j++){ if (j) o.lineTo(in1[j][0],in1[j][1]); else o.moveTo(in1[j][0],in1[j][1]); }
      o.closePath(); o.stroke();
      o.lineJoin = 'round'; o.lineWidth = Math.max(1.3, SPRITE*0.009); o.strokeStyle = rgba(c,0.82);
      ring(v); o.stroke();
      o.fillStyle = rgba([255,255,255],0.85);
      o.beginPath(); o.arc(v[0][0]*0.5, v[0][1]*0.7, Math.max(1.4, SPRITE*0.014), 0, Math.PI*2); o.fill();
      return s.oc;
    }

    function buildSprites(){
      sprites = [];
      for (var i=0;i<COLORS.length;i++){ sprites.push(diamond(COLORS[i])); sprites.push(emerald(COLORS[i])); }
    }

    function makeGem(){
      var small = W < 720;
      var minS = small ? 28 : 44, rng = small ? 40 : 80;
      var size = minS + Math.random()*rng;
      var depth = (size - minS) / rng;
      var ci = (Math.random()*COLORS.length) | 0;
      var sp = ci*2 + (Math.random() < 0.5 ? 0 : 1);
      var ang = Math.random()*Math.PI*2;
      var speed = 0.06 + depth*0.20;
      return {
        x: Math.random()*W, y: Math.random()*H, size:size, sp:sp,
        rot: Math.random()*Math.PI*2, rs: (Math.random()-0.5)*0.004,
        bvx: Math.cos(ang)*speed, bvy: Math.sin(ang)*speed,
        vx: Math.cos(ang)*speed, vy: Math.sin(ang)*speed,
        alpha: 0.15 + depth*0.30, glow: 0, col: COLORS[ci]
      };
    }

    function buildGems(){
      var count = Math.round((W*H) / 42000);
      var small = W < 720;
      count = Math.max(small ? 9 : 16, Math.min(small ? 16 : 30, count));
      gems = [];
      for (var i=0;i<count;i++){ gems.push(makeGem()); }
    }

    function resize(){
      var nd = Math.min(window.devicePixelRatio || 1, 2);
      var nW = window.innerWidth, nH = window.innerHeight;
      canvas.width = Math.round(nW*nd); canvas.height = Math.round(nH*nd);
      var dprChanged = nd !== dpr;
      dpr = nd;
      if (dprChanged || !sprites.length) buildSprites();
      if (prevW && gems.length){
        var sx = nW/prevW, sy = nH/prevH;
        for (var i=0;i<gems.length;i++){ gems[i].x *= sx; gems[i].y *= sy; }
      }
      W = nW; H = nH; prevW = nW; prevH = nH;
      pointer.r = (W < 720) ? 115 : 165;
      if (!gems.length) buildGems();
      if (reduce) renderStatic();
    }

    function corners(){
      var m = Math.max(W,H);
      var g1 = ctx.createRadialGradient(W*0.1,H*0.02,0, W*0.1,H*0.02, m*0.55);
      g1.addColorStop(0, rgba(COLORS[0],0.06)); g1.addColorStop(1, rgba(COLORS[0],0));
      ctx.fillStyle = g1; ctx.fillRect(0,0,W,H);
      var g2 = ctx.createRadialGradient(W*0.96,H*1.0,0, W*0.96,H*1.0, m*0.6);
      g2.addColorStop(0, rgba(COLORS[1],0.06)); g2.addColorStop(1, rgba(COLORS[1],0));
      ctx.fillStyle = g2; ctx.fillRect(0,0,W,H);
      var g3 = ctx.createRadialGradient(W*0.85,H*0.2,0, W*0.85,H*0.2, m*0.45);
      g3.addColorStop(0, rgba(COLORS[2],0.05)); g3.addColorStop(1, rgba(COLORS[2],0));
      ctx.fillStyle = g3; ctx.fillRect(0,0,W,H);
    }

    function drawGem(g){
      ctx.save();
      ctx.translate(g.x, g.y); ctx.rotate(g.rot);
      ctx.globalAlpha = Math.min(0.82, g.alpha + g.glow*0.45);