Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
早期うつ状態検出のためのマルチモーダル対話データセットに基づくうつ状態検出モデルの性能評価(N...
Search
Kotaro Kashihara
March 16, 2025
Research
92
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
早期うつ状態検出のためのマルチモーダル対話データセットに基づくうつ状態検出モデルの性能評価(NLP2025)
NLP2025@長崎での発表内容
Kotaro Kashihara
March 16, 2025
More Decks by Kotaro Kashihara
See All by Kotaro Kashihara
LLMアプリケーション開発 ~シンとくぽんTalkと論文要約くんの開発について~
kassy11
0
100
Other Decks in Research
See All in Research
【Zozo Research 技術共有会】三次元領域の現在と展望
mickey_0226
3
670
2026年6月_副業コンプライアンス調査_業界別リスク度分析_株式会社フクスケ.pdf
fkske
0
120
[最先端NLP勉強会2026] Agentic Rubrics as Contextual Verifiers for SWE Agents
rfujii
1
390
Santé et fertilité des sols : ce que nous disent les pratiques dans les systèmes de polyculture-élevage
institutdelelevage
PRO
0
120
[IR Reading 2026春 論文紹介] LLM-based Listwise Reranking under the Effect of Positional Bias (ECIR 2026) /IR-Reading-2026-Spring
koheishinden
PRO
0
460
[最先端NLP勉強会2026] Checklists Are Better Than Reward Models For Aligning Language Models
nzw0301
1
330
MM-OVSeg: Multimodal Optical–SAR Fusion for Open-Vocabulary Segmentation in Remote Sensing
satai
3
150
完全自律LLMエージェントでDIVER OSINT CTF 2026に挑戦してみた
analokmaus
0
750
Vector Map as Language: Toward Unified Remote Sensing Vector Mapping
satai
3
300
VLMの推論を高速化する視覚トークン削減の仕組み
tattaka
2
360
視覚若手の会LENSって何??
mickey_0226
0
340
最先端NLP 2026 論文紹介: Wait, Wait, Wait... Why Do Reasoning Models Loop? / SNLP Paper Review: Wait, Wait, Wait... Why Do Reasoning Models Loop?
tkng
0
250
Featured
See All Featured
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.9k
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
2
2.9k
It's Worth the Effort
3n
188
29k
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
2
320
Designing for Performance
lara
612
70k
Kristin Tynski - Automating Marketing Tasks With AI
techseoconnect
PRO
0
540
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
610
Large-scale JavaScript Application Architecture
addyosmani
516
110k
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
The SEO identity crisis: Don't let AI make you average
varn
0
580
Optimizing for Happiness
mojombo
378
71k
Transcript
ദݪޭଠɹߴುढ़थɹܟଠ കݪӳ༟ɹೖᖒߤ࢙ɹத୍ཧਔɹপాपॿ ߁γϯɹ٢ాູɹদຊ ಙౡେֶେֶӃՊֶݚڀՊ࿑ಇऀ݈߁҆શػߏ ಙౡେֶҩֶ෦ಙౡେֶେֶӃࣾձ࢈ۀཧֶݚڀ෦ ૣظ͏ͭঢ়ଶݕग़ͷͨΊͷ ϚϧνϞʔμϧରσʔληοτʹجͮ͘ ͏ͭঢ়ଶݕग़ϞσϧͷੑೳධՁ $
ݚڀഎܠ • ੈքతʹετϨεͱෆ҆ʹΑΔϝϯλϧ࣬ױ͕૿Ճ͍ͯ͠Δ<> • ಛʹຊͰɺ࿑ಇऀͷϝϯλϧ࣬ױ͕૿Ճ͍ͯ͠Δ<> • ͔͠͠ɺਫ਼ਆՊҩΧϯηϥʔͷෆʹΑΓૣظൃݟ͕͍͠ 㱺ϝϯλϧෆௐͷૣظൃݟΛϚϧνϞʔμϧͳ"*ϞσϧͰସͰ͖ͳ͍͔ʁ
ݚڀత • ݈ৗऀɾϝϯλϧෆௐऀΛରͱͨ͠Χϯηϥʔͱͷ໘ஊΛ࣮ࢪ͠ɺ໘ஊதͷ ݴޠɾԻɾಈըɾ৺ഥ͔ΒͳΔϚϧνϞʔμϧσʔληοτΛߏஙɾੳ͢Δ • ߏஙͨ͠σʔληοτͱطଘσʔληοτΛΈ߹Θͤͯɺ ࠷৽ͷϚϧνϞʔμϧ͏ͭঢ়ଶݕग़ϞσϧΛֶश͠ੑೳධՁΛߦ͏ ࠷ۙ࠷ ൵͔ͬͨ͜͠ͱ
ԿͰ͔͢ʁ ࣂ͍ͬͯͨ ϖοτ͕͘ͳͬ ͨ͜ͱͰ͢ ! " σʔλऩू σʔληοτ ͏ͭঢ়ଶ ݕग़Ϟσϧ ͏ͭঢ়ଶ ݈ৗ
ؔ࿈ݚڀɿ%"*$80;<> • ͏ͭঢ়ଶݕग़ͷͨΊͷϚϧνϞʔμϧσʔληοτ %"*$80; ݴޠ ӳޠ ϞμϦςΟ ݴޠɺԻɺಈը ϥϕϧ
͏ͭঢ়ଶʹ͍ͭͯͷ Ξϯέʔτ݁Ռ ඃݧऀ ݈ৗऀ ໘ஊํ๏ 8J[BSEPG8P[๏Ͱͷ Ξόλʔͱͷ໘ஊ σʔληοτ ಛ
%"*$80;ͱͷҧ͍ 4 %"*$80; ຊݚڀ ݴޠ ӳޠ ຊޠ ϞμϦςΟ ݴޠɺԻɺಈը
ݴޠɺԻɺಈըɺ ৺ഥσʔλ ϥϕϧ ͏ͭঢ়ଶʹ͍ͭͯͷ Ξϯέʔτ݁Ռ ༷ʑͳ৺ཧঢ়ଶʢ͏ͭঢ়ଶؚΉʣ ʹ͍ͭͯͷΞϯέʔτ݁Ռ ඃݧऀ ݈ৗऀ ݈ৗऀͱ Ұ෦ϝϯλϧෆௐऀ ໘ஊํ๏ 8J[BSEPG8P[๏Ͱͷ Ξόλʔͱͷ໘ஊ 8J[BSEPG8P[๏Ͱͷ Ξόλʔͱͷ໘ஊ σʔληοτ ಛ
໘ஊํ๏ • ໘ஊ;PPNΛ௨ͯ͡ߦΘΕɺඃݧऀͷԻɾಈըΛهͨ͠ • ඃݧऀ৺ഥܭΛ͚ͯ໘ஊΛ࣮ࢪ • ΧϯηϥʔͷݟͨٴͼԻ 75VCF4UVEJPٴͼ.BHJD.JDΛ௨ͯ͡ ϦΞϧλΠϜʹมͨ͠
• ඃݧऀͱͯ͠ ʮخ͔ͬͨ͜͠ͱʯʮ൵͔ͬͨ͜͠ͱʯ ʮෲཱ͕ͬͨ͜ͱʯͷͭΛࣄલ४උ͠ɺ Χϯηϥʔ͔Βॱ࣭࣍͞Εͨ
Ξόλʔ • ໘ஊதͷΧϯηϥʔͷݟͨΛϦΞϧλΠϜͰΞόλʔʹมͨ͠ • Χϯηϥʔͷإදɾإͷ͖ͷτϥοΩϯάΛߦ͏ • ʮϋϧʯͱ͍͏໊લ͚ͩΛඃݧऀʹ໌ࣔͨ͠ • ˞໊લҎ֎ͷใʹ͍ͭͯඃݧऀʹରͯ͠໌ࣔ͠ͳ͔ͬͨ
*DPOJDCVTJOFTTNBO *O+BQBOFTF IUUQTOJ[JNBDPN*UFN%FUBJM*UFN
Ξϯέʔτ • ඃݧऀ໘ஊલɾ໘ஊޙʹΞϯέʔτʹճ • ໘ஊલɿ ඃݧऀͷ৺ཧঢ়ଶಛੑ • ໘ஊޙɿ ໘ஊதͷؾҹ
ऩू݁Ռ • ಙౡେֶٴͼಙౡେֶපӃ͔Βඃݧऀ͕ࢀՃ͠ɺݱࡏ໊ͷσʔλΛऩूࡁΈ • ͏ͪঁੑ໊ɺஉੑ໊ɺฏۉྸࡀ • 1)2ͷείΞͰ͏ͭঢ়ଶ͔൱͔Λஅͨ͠߹ɺ ݈ৗঢ়ଶ໊ɺ͏ͭঢ়ଶ໊
ಛྔͷநग़ͱ૬ؔੳ • σʔλͱΞϯέʔτ݁ՌΛ૬ؔੳ͠ɺطଘͷ৺ཧֶɾਫ਼ਆҩֶݚڀͱൺֱ • ֤ϞμϦςΟ͝ͱʹҎԼͷํ๏Ͱಛྔͷநग़Λߦͬͨ • ݴޠɿ(J/;"<>ͱຊޠධՁۃੑࣙॻ< >Λ༻͍ͯɺඃݧऀͷൃςΩετதͷ ϙδςΟϒɾωΨςΟϒͳ୯ޠٴͼׂ߹Λܭࢉ
• Իɿ0QFO4.*-&<>Λ༻͍ͯɺඃݧऀͷԻͷมԽʹؔ͢Δಛྔ ʢେ͖͞ɺϐονɺδολʔɺγϚʔʣͷฏۉɾඪ४ภࠩΛܭࢉ • ಈըɿ0QFO'BDF<>Λ༻͍ͯɺඃݧऀͷإදͷ֤ΞΫγϣϯϢχοτͷڧ͞ ͷฏۉɾඪ४ภࠩΛܭࢉ
૬ؔੳ݁Ռʢݴޠσʔλʣ • 5MCMM<>ͷ ʮ͏ͭঢ়ଶͷਓϙδςΟϒͳ ݴޠ༻͕Լ͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ • 1FOOFCBLFSΒ<>ͷ ʮ֎ަతͳਓϙδςΟϒͳ
ײޠΛଟ͘༻͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ ݴޠ ಛྔ Ξϯέʔτ ߲ ૬ؔ ϙδςΟϒͳ ༻ݴͷׂ߹ ("% ಉ্ 1)2 ಉ্ 4$"4 ϙδςΟϒͳ ༻ݴͷ #*( ֎ੑ ϙδςΟϒͳ ୯ޠͷ ಉ্
૬ؔੳ݁Ռʢݴޠσʔλʣ • 5MCMM<>ͷ ʮ͏ͭঢ়ଶͷਓϙδςΟϒͳ ݴޠ༻͕Լ͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ • 1FOOFCBLFSΒ<>ͷ ʮ֎ަతͳਓϙδςΟϒͳ
ײޠΛଟ͘༻͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ ݴޠ ಛྔ Ξϯέʔτ ߲ ૬ؔ ϙδςΟϒͳ ༻ݴͷׂ߹ ("% ಉ্ 1)2 ಉ্ 4$"4 ϙδςΟϒͳ ༻ݴͷ #*( ֎ੑ ϙδςΟϒͳ ୯ޠͷ ಉ্
૬ؔੳ݁Ռʢݴޠσʔλʣ • 5MCMM<>ͷ ʮ͏ͭঢ়ଶͷਓϙδςΟϒͳ ݴޠ༻͕Լ͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ • 1FOOFCBLFSΒ<>ͷ ʮ֎తͳਓϙδςΟϒͳ
ײޠΛଟ͘༻͢Δʯ ͱ͍͏݁Ռͱಉ༷ͷ݁Ռ ݴޠ ಛྔ Ξϯέʔτ ߲ ૬ؔ ϙδςΟϒͳ ༻ݴͷׂ߹ ("% ಉ্ 1)2 ಉ্ 4$"4 ϙδςΟϒͳ ༻ݴͷ #*( ֎ੑ ϙδςΟϒͳ ୯ޠͷ ಉ্
૬ؔੳ݁ՌʢԻσʔλʣ • (BMJMMJΒ<>ͷ ʮࣾަෆ҆Λ࣋ͭਓɺ جຊपʢϐονʣ͕େ͖͘ɺ ͷେ͖͕͞খ͘͞ͳΔʹ͋Δʯ ͱ͍͏݁ՌͱҰ෦Ұக • ,PUPWΒ<>ͷ
ʮ͏ͭঢ়ଶͷਓ ͷมԽΤωϧΪʔ͕͘͠ͳΔʯ ͱ͍͏݁ՌͱҰ෦Ұக Ի ಛྔ Ξϯέʔτ ߲ ૬ؔ ͷϐονͷ ฏۉ -4"4 ͷେ͖͞ͷ ඪ४ภࠩ 1)2 ͷϐονͷ ඪ४ภࠩ ಉ্
૬ؔੳ݁ՌʢԻσʔλʣ • (BMJMMJΒ<>ͷ ʮࣾަෆ҆Λ࣋ͭਓɺ جຊपʢϐονʣ͕େ͖͘ɺ ͷେ͖͕͞খ͘͞ͳΔʹ͋Δʯ ͱ͍͏݁ՌͱҰ෦Ұக • ,PUPWΒ<>ͷ
ʮ͏ͭঢ়ଶͷਓ ͷมԽΤωϧΪʔ͕͘͠ͳΔʯ ͱ͍͏݁ՌͱҰ෦Ұக Ի ಛྔ Ξϯέʔτ ߲ ૬ؔ ͷϐονͷ ฏۉ -4"4 ͷେ͖͞ͷ ඪ४ภࠩ 1)2 ͷϐονͷ ඪ४ภࠩ ಉ্
૬ؔੳ݁ՌʢԻσʔλʣ • (BMJMMJΒ<>ͷ ʮࣾަෆ҆Λ࣋ͭਓɺ جຊपʢϐονʣ͕େ͖͘ɺ ͷେ͖͕͞খ͘͞ͳΔʹ͋Δʯ ͱ͍͏݁ՌͱҰ෦Ұக • ,PUPWΒ<>ͷ
ʮ͏ͭঢ়ଶͷਓ ͷมԽΤωϧΪʔ͕͘͠ͳΔʯ ͱ͍͏݁ՌͱҰ෦Ұக Ի ಛྔ Ξϯέʔτ ߲ ૬ؔ ͷϐονͷ ฏۉ -4"4 ͷେ͖͞ͷ ඪ४ภࠩ 1)2 ͷϐονͷ ඪ४ภࠩ ಉ্
૬ؔੳ݁Ռʢಈըσʔλʣ • #*(։์ੑͷߴ͍ඃݧऀɺ ൺֱతϦϥοΫεͯ͠໘ஊΛ ड͚͍ͯͨ͜ͱΛࣔࠦ • #*(ۈษੑͷείΞͱ ΄ͱΜͲͷΞΫγϣϯϢχοτͷڧ͞ͷ ฏۉɾඪ४ภࠩͱʹෛͷ૬͕ؔݟΒΕͨ
㱺#*(ۈษੑͷߴ͍ඃݧऀ ൺֱతແදͰ໘ஊΛड͚͍ͯͨ͜ͱΛࣔࠦ ಈը ಛྔ Ξϯέʔτ ߲ ૬ؔ ʮඑΛԼ͛Δʯ ڧ͞ͷฏۉ #*( ։์ੑ ʮᛐΛۓுͤ͞ Δʯ ڧ͞ͷฏۉ ಉ্ ʮඑͷ֎ଆΛ্ ͛Δʯ ڧ͞ͷฏۉ ಉ্
࣮ݧɿલॲཧͱಛྔநग़ • ߏஙͨ͠σʔληοτͱ%"*$80;ΛΈ߹ΘֶͤͨशΛ࣮ࢪ 㱺ͭͷσʔληοτͰ౷Ұͨ͠લॲཧɾಛྔநग़Λ࣮ࢪ • લॲཧɿੜσʔλ͔Βඃݧऀͷൃ۠ؒͷԻɾಈըϑϨʔϜͷΈΛநग़ • ಛྔநग़ɿ •
ԻಛྔɿࣄલֶशࡁΈϞσϧ7((JTI<>ͷ࠷ऴϕΫτϧ • ಈըಛྔɿ0QFO'BDF͔ΒಘΒΕΔإϥϯυϚʔΫ
࣮ݧɿϞσϧͱֶशϥϕϧ • 1)2ٴͼ1)2ͷ݁ՌΛͱʹɺϥϕϧʢ͏ͭঢ়ଶɾ݈ৗঢ়ଶʣΛ࡞ • ֶशɾݕূɾςετηοτΛʹׂ • ࠷৽ͷϚϧνϞʔμϧ͏ͭঢ়ଶݕग़ϞσϧͰ͋Δ%FQ.BNCB<>Λར༻ • %"*$80;Ͱࣄલֶश㱺ߏஙͨ͠σʔληοτͰϑΝΠϯνϡʔχϯά
• ߏஙͨ͠σʔληοτ୯ମͰͷֶशͱൺֱ %"*$80; ߏஙͨ͠σʔληοτ σʔληοτ ࣄલֶश ϑΝΠϯνϡʔχϯά ! " ͏ͭঢ়ଶ ݈ৗ ࣄલֶशϞσϧ ϑΝΠϯνϡʔχϯά Ϟσϧ
࣮ݧ݁Ռ • %"*$80;ͷࣄલֶशΛߦ͏͜ͱͰɺ΄ͱΜͲͷධՁࢦඪ͕վળ • ϥϕϧͷภΓ͕͋ΔͨΊɺ୯ମͰͷֶश࣌ʹ࠶ݱ͕͔ͬͨ • ࣄલֶशΛߦ͏͜ͱͰେ෯ʹվળ͞Εʮ͏ͭঢ়ଶΛݟಀ͞ͳ͍Ϟσϧʯʹ
࣮ݧ݁Ռ • ҰํಛҟԼ͠ɺޡͬͯ͏ͭঢ়ଶΛݕग़ͯ͠͠·͏͕૿͑ͨ • 㱺ࠓޙσʔλΛ֦ॆͯ͠Ͱ͖Δ͚ͩϥϕϧͷภΓΛͳ͘͠ɺ ࠶ݱɾಛҟͱʹߴ͍ϞσϧͷߏஙΛࢦ͢
ࠓޙͷ՝ σʔλ֦ॆ wܧଓͯ͠σʔλΛऩू w͏ͭঢ়ଶɾ݈ৗঢ়ଶͷϥϕϧͷภΓΛͰ͖Δ͚ͩͳ͘͢ ٬؍Ξϊςʔγϣϯͷ༩ wओ؍ϥϕϧʢඃݧऀͷΞϯέʔτ݁Ռʣ͔͍͍ͯ͠ͳ͍ wୈࡾऀɾઐՈʢਫ਼ਆՊҩͳͲʣʹΑΔΞϊςʔγϣϯΛ࣮ࢪ
Ϟσϧֶशͷ w1)2Ҏ֎ͷΞϯέʔτ݁Ռ٬؍Ξϊςʔγϣϯར༻ֶͯ͠श
·ͱΊ • ͏ͭঢ়ଶݕग़ͷͨΊͷຊޠͷϚϧνϞʔμϧσʔληοτΛߏஙɾੳ • ߏஙͨ͠σʔληοτͱطଘσʔληοτΛΈ߹ΘͤͯϞσϧΛֶश • ࠓޙɺσʔλ֦ॆσʔλʹର͢Δ٬؍ΞϊςʔγϣϯΛ࣮ࢪ͢Δ
ࢀߟจݙ <>8PSME)FBMUI0SHBOJ[BUJPO$PWJEQBOEFNJDUSJHHFSTJODSFBTFJOQSFWBMFODFPGBOYJFUZBOEEFQSFTTJPOXPSMEXJEF IUUQTXXXXIPJOUOFXTJUFNDPWJEQBOEFNJDUSJHHFSTJODSFBTFJOQSFWBMFODFPGBOYJFUZBOEEFQSFTTJPO XPSMEXJEF "DDFTTFE+BOVBSZ <>+PC૯ݚʹΑΔʰϝϯλϧέΞͷҙࣝௐࠪʱΛ࣮ࢪզຫͦ͜ඒಙ ऑԻు࿐zܴzׂ͕ෆௐzݴ͑ͳ͍z IUUQTQSUJNFTKQ NBJOIUNMSEQIUNM"DDFTTFE+VOF
<>(SBUDI+ "SUTUFJO3 -VDBT(. 4USBUPV( 4DIFSFS4 /B[BSJBO" 8PPE3 #PCFSH+ %F7BVMU% .BSTFMMB4 5SBVN%35IF %JTUSFTT"OBMZTJT*OUFSWJFX$PSQVTPG)VNBOBOE$PNQVUFS*OUFSWJFXT*O1SPDFFEJOHTPG-3&$.BZ QQ <>দా(J/;"6OJWFSTBM%FQFOEFODJFTʹΑΔ࣮༻తຊޠղੳࣗવݴޠॲཧ7PMVNF/VNCFS <>খྛͷͧΈɼס݈ଠɼদຊ༟࣏ɼཱੴ݈ೋɼౡढ़Ұҙݟநग़ͷͨΊͷධՁදݱͷऩूࣗવݴޠॲཧɼ7PM /P QQ <>౦ࢁণ ס݈ଠ দຊ༟࣏ ड़ޠͷબબੑʹண໊ͨ͠ࢺධՁۃੑͷ֫ಘ ݴޠॲཧֶձୈճ࣍େձจू QQ <>MPSJBO&ZCFO .BSUJO8ÖMMNFS #KÖSO4DIVMMFSPQFO4.*-&5IF.VOJDI7FSTBUJMFBOE'BTU0QFO4PVSDF"VEJP'FBUVSF &YUSBDUPS 1SPD"$..VMUJNFEJB .. "$. 'MPSFODF *UBMZ *4#/ QQ <>0QFO'BDF'BDJBM#FIBWJPS"OBMZTJT5PPMLJU5BEBT#BMUSVãBJUJT "NJS;BEFI :BP$IPOH-JN BOE-PVJT1IJMJQQF.PSFODZ *&&&*OUFSOBUJPOBM$POGFSFODFPO"VUPNBUJD'BDFBOE(FTUVSF3FDPHOJUJPO
ࢀߟจݙ <>,BUSJOF#OOFMBOE5MCMM-JOHVJTUJDGFBUVSFTJOEFQSFTTJPOBNFUBBOBMZTJT+PVSOBMPG-BOHVBHF8PSLT4QSPHWJEFOTLBCFMJHU 4UVEFOUFSUJETTLSJGU 7PM /P Qr %FD <>1FOOFCBLFS +8
.FIM .3 /JFEFSIP⒎FS , 1TZDIPMPHJDBMBTQFDUTPGOBUVSBMMBOHVBHFVTFPVSXPSET PVSTFMWFT "OOVBMSFWJFXPGQTZDIPMPHZ <>(BMJMJ - "NJS 0 (JMCPB4DIFDIUNBO & "DPVTUJDQSPQFSUJFTPGEPNJOBODFBOESFRVFTUVUUFSBODFTJOTPDJBMBOYJFUZ +PVSOBMPG4PDJBMBOE$MJOJDBM1TZDIPMPHZ r<>3PNBO,PUPW 8BLJ[B(BNF[ 'SBOL4DINJEU BOE%BWJE8BUTPO-JOLJOH zCJHzQFSTPOBMJUZUSBJUTUPBOYJFUZ EFQSFTTJWF BOETVCTUBODFVTFEJTPSEFST"NFUBBOBMZTJT1TZDIPMPHJDBMCVMMFUJO 7PM QQr <>4IBXO)FSTIFZ 4PVSJTI$IBVEIVSJ %BOJFM18&MMJT +PSU'(FNNFLF "SFO+BOTFO 3$IBOOJOH.PPSF .BOPK1MBLBM %FWJO1MBUU 3JG"4BVSPVT #SZBO4FZCPME .BMDPMN4MBOFZ 3PO+8FJTT BOE,FWJO88JMTPO$OOBSDIJUFDUVSFTGPSMBSHFTDBMFBVEJP DMBTTJpDBUJPO*&&&*OUFSOBUJPOBM$POGFSFODFPO"DPVTUJDT 4QFFDIBOE4JHOBM1SPDFTTJOH *$"441 QQr <>+JBYJO:F +VOQJOH;IBOH BOE)POHNJOH4IBO%FQNBNCB1SPHSFTTJWFGVTJPONBNCBGPSNVMUJNPEBMEFQSFTTJPOEFUFDUJPO*O *$"441*&&&*OUFSOBUJPOBM$POGFSFODFPO"DPVTUJDT 4QFFDIBOE4JHOBM1SPDFTTJOH *$"441 )ZEFSBCBE *OEJB "QSJM QQr <>$IFO 3 $IFO 9 /J # (F : 4JN4XBQ"O&⒏DJFOU'SBNFXPSL'PS)JHI'JEFMJUZ'BDF4XBQQJOH1SPDFFEJOHTPGUIF UI"$.*OUFSOBUJPOBM$POGFSFODFPO.VMUJNFEJB