æ¥åžžã¡ã¢
èŠããã®èªãã ãã®ïŒãããããã®ãå¿ããŠããŸãã®ã§ïŒåŸç¶ãªããŸãŸã«æžãèšãããšã«ããïŒ
è»ã®ç€ŸäŒæ§ãããïŒã³ã¡ã³ãæ¬ã«ãæžããŠãããã©ïŒãé¿é£ã»ä¿è·ã»é²åŸ¡ã»æ»æã»æç²ã»æŠåŸåŠçããå®éã«ãã£ãŠããã®ãã¯ãããŠèŠãïŒãããŒïŒ ããšè»é
žã£ãŠå°æè«ã«ãšã£ãŠã¯çžåœåŒ·ããã ãïŒè»äžåäœããäœmlã®è»é
žãåºãã®ããªïŒ
keyball61ãå販ãããŠããïŒããã¯è²·ãåŸã ãªãïŒ
å
ã
ç 究宀ã§ã¯HHKBã䜿ã£ãŠããã®ã§ïŒ60ããŒãçžæ§ãããã ããïŒ ãããã¡ã€ã«ã¯MDAâãããäžçªèº«äœã«åã£ãŠãã®ã§ïŒæ°èª¿ãããåãã¿ã€ãã®ããŒãã£ãããè²·ãã ãã
https://gyazo.com/36b800f5c7926db718c0e54573da3ac9
ãããŸãèšã£ãŠããåæãããªããŠå¯ŸåŠïŒä¿ºçããã£ãŠãã®ã¯é«é察åŠãªãã§ãããšããèšè å
šäœæ»ç¥ã§ã¯ãªãéšåæ»ç¥ãªãã ãšããããšã ãã©ïŒããã°ã£ããã¯ãããããªããã
ããžã©ãã®éç°ãèšã£ãŠããã©ïŒè³ã¬ãŒã¹ã£ãŠã¢ãã¶ãŒã¹ããŒãªãŒçãªåŽé¢ïŒæŒ«æãšã¯ç°ãªãæèãèŒã£ããããé£ãã
ãã ããïŒã»ãšãã©å
šäœæ»ç¥ã®æé©è§£ã«è¿ã解ãå°ãåºããŠãããšã¯æã
äŒå Žãå®å
šã«ä»€åããã³ã®é°å²æ°ïŒããããããã¿ãŒã§æçµæ±ºæŠã«è¡ãè¥ã倩æãã«ãªã£ãŠãã
ããŠãšã¹ãã©ã³ãäºå£ããšããšããµãŒã¢ã³ä¹
ä¿ç°ãã®å¯Ÿè«ã§èšã£ãŠãããã¥ãŒãã³ã§æŒ«æãããããŸãã«äœçŸããæã
éææãããã€ã€ãïŒè³ã«ãŸãšããä»ããŠãããããªç¬ç¹ãªæ声ãšçºå£°ïŒ
aåããã¯ãããŠç¥ã£ãïŒãããã¿ãããªé¢šäœã§ãšãŠãè¯ã ããããªãšããéææããããã£ãœã
åçŽã«å¥œã
digã£ãŠããèŠã€ãã
ç 究宀ã®å
茩ã«ãåã¿ããã«è²¯èã°ããããŠãã人éãããããæ¥æ¬çµæžãåããªããã ããšæããã(?)ã®ã§èªãã
å
茩ãšåŸèŒ©ã«è²ã
æããŠããã£ãã®ã§ã¡ã¢
ãšãããã{NISA, ç©ã¿ç«ãŠNISA}ã®æ䟡ç·é¡å éå¹³åã€ã³ããã¯ã¹å
šãããã§è¯ãããã
è¿œèš 2/6 : é©åœã«ç©ã¿ç«ãŠNISAèšå®ããšãã As a result, no anonymity period will be required for papers submitted to ACL for the Feb 15, 2024 deadline.
ã€ãã«anonymity periodãªããªã£ãã®ãïŒãšææ
šæ·±ã
arxivã§ã®preprintãè·æããæšä»ïŒææ©double-blindèªäœãéšåçã«åœ¢éªžåããŠããïŒã
(anonimity periodã®æ€å»ã¯double-blindå»æ¢ãæå³ããããã§ã¯ãªã)
ããèšèãèŠã€ããïŒæè¿çæããŠãããšã ããïŒã¡ã¢æžããšãã
ãšã¯ãªãã¥ãŒã«ãš1次æ
å ±ã®åé¡ã ã
å
±ã«ãããžã§ã¯ããé²ããŠããå人ã«ïŒãwadaããã¯ïŒ100ã¡ãŒãã«èµ°ã¿ããã«äœæ¥ãããã§ããããšèšãããããšããã
ã©ãããããšããšèãè¿ããšïŒåœŒæ°ãïŒä¿ºã¯ãå
šéåã§ãµãã¿ã¹ã¯AãããâäžæŠäŒæ©âå
šéåã§ãµãã¿ã¹ã¯BãããâäžæŠäŒæ©â...ããšãã颚ã«äœæ¥ããŠããããã (æ°ã¥ããªãã£ã)ïŒããã100ã¡ãŒãã«èµ°ãäœåºŠãèµ°ãåãéžäžéšã®ç·Žç¿é¢šæ¯ã¿ããã«èŠããããã
ãã®èšäºã«ããããŠãããThird Timeãã¯ãŸããããããªæãïŒãã®100ã¡ãŒãã«èµ°åäœæ¥ã¹ã¿ã€ã«ãèšèªåã»æ確åãã颚ã«èŠãã $ Næéäœæ¥ãããïŒ$ \frac{N}{3}æéäŒãïŒãšããäœæ¥ã¹ã¿ã€ã«
確ãã«ïŒæ確㫠N/3äŒããšããæ¹ãå¹çãè¯ããããããªãïŒ
https://gyazo.com/ad845e22b3a94a9ffac20c488159133b
ããŒãïŒå人çã«ã¯æççïŒ
çæAIã«ãããããã£ãããšïŒæ§æ¥ã®ããŒãœãã©ã€ãºã§åŸããããããã£ããã倩秀ã«æãããšãïŒæçåå²ç¹çã«ïŒåŸè
ã®æ¹ãåã€ããããªãããªïŒ
UI/UXã®ããŒãœãã©ã€ãºã¯Netflixã®AVAããããæççã«ã¯é¢ã®å±±ã§ã¯ïŒ ããŒãœãã©ã€ãºãšããæŠå¿µãçæAIãšããããºã¯ãŒãã§åçºæããŠããããã«èŠãã
ãã¢ãŠãããããããŠèªåã®å身ãäœãããšããè¯ãæèšãèŠã€ãã
ç©æ¥µçã«äœ¿ã£ãŠããã
ãã£ã¡ã¯è·é¢ã®æž¬ãæ¹ãçŽæ¥çãšããå«æã匷ãïŒç¡è £ãã©ã€çè«ã¯è·é¢ã®æž¬ãæ¹ãçžå¯ŸçïŒ
ã»èªåãäœãã§ããã®ããã©ããªããšãåŸæãªã®ãã¢ãŠãããããã
ã»èªåã®ããšã玹ä»ããŠãããå身ã®ãããª
ã»äžç¹å®å€æ°ã®äººã«å±ããéå»ã«ã¢ãŠãããããããã®ãªã©ãèªåãèªã£ãŠããã
確ãã«èªæžã£ãŠé
å¹æ§ããbetterã ãšç²ä¿¡ããŠãç¯ãããã®ã§ïŒãã®ããã«å³å¹æ§ã®é«ãèªã¿æ¹ãè¯ããã
æ代ã¯å€§ããæºãåããŠãããå¶åºŠã®å€é©è
ã¯åµé æ§ãéãããã¹ããé ãæããããããããåºæ¿ãåãå
¥ããªããŠã¯è¯ãä»äºã¯ã§ããªãããŸããçæ§çã§æç¶å¯èœãªä»äºã®ããã«ãå¥å
šãªå¿èº«ã®ç¶æãå¿
èŠã ãã ããã趣å³ã家æãå人ãšã®èªããã¯æ¬ ãããªããåœå®¶å±æ¥ã®æã«ã¯äžç·ã«åŸ¹å€ããŠãããããããã§ãªãæã«ã¯ã倧ãã«èªåã®è¶£å³ã楜ãããšãšãã«ãä»äºãé¢ããŠå¹
åºãå匷ããéæ°ãé€ã£ãŠæ¬²ãããå¿é
èŠããªãã財åå®åã«ã¯ãã®æéã¯ãããç§ãå
¥ç以æ¥ã60ã«åœä»¥äžæ
è¡ã§ããŠããããæ°ååãèªãæéããã£ãããä»ãæ¯é±ããã¹ã§æ±ãæµãçãã¹ããŒããèžè¡ã«å
å®ããæ®ãããäž¡ç«ãããŠããããã®ããšã«äžåžã®å¥šå±ãããããäžåãæ¹å€ã¯ãªãçµç¹ã ã
TODO
ZPD
SECI
ãé¢çœã挫ç»ããšãæ°æã¡ãã挫ç»ã
ç·šéè
ã®ä»äºã¯ç©¶æ¥µçã«ã¯ãé¢çœã挫ç»ãæžããã»ã挫ç»ã売ããã®ïŒã€ãããªã
ãäºååã«åµãŸããªãä»äºã¯ééã£ãŠããã®ã§æœ°ãã
å¥ã«ãã®äºååèªäœãæ£ãããšã¯åŸ®å¡µãæã£ãŠããªãïŒ
ããã
TODO
16:50ããèªåã®æç« ãèªãã§ããããããªã£ãŠæãã¿ã€ãã®äººã£ãŠããã®ã¯å€åæ¹è©å®¶ã«ã¯ããŸãåããªãã
ãã®èšèãåãåºãã£ãïŒå¥ã«æ¹è©å®¶ãç®æããŠããããã§ã¯ãªããïŒè«æãæžããŠããšãã«ãèªåãæžããæç« ãããªãããšãæã£ã¡ãã£ããããŠïŒèªæã®"æ»ããã"ã®ãããªãã®ã«æãæãããããšãããããã®ã ãïŒã©ããã俺ã¯åŸ¹åºçã«ç 究è
ã«åããŠããªãã®ã ããïŒ
倧äºãªã®ã¯ïŒããžãã¯ãããºã«ã®ããã«ã«ãã£ãšåµã£ãŠããããšã§ãã£ãŠïŒæã®æ»ãããã§ã¯ãªãïŒ
TODO
æã®äœãèŠãŠããã®ãïŒBERTã§ãããªãïŒåæå±€ã®ç¹åŸŽéïŒè¡šå±€çã§çµ±èªçãªã¢ããªã®ãïŒæçµå±€ã®ç¹åŸŽéïŒã»ãã³ãã£ãã¯ãªã®ãïŒ
æ±æµ©çŽã¯åçš¿ã倧éã«ä¿®æ£ãããããïŒæžããŠãéäžãïŒã²ã©ãåºãåŸãïŒãšã«ããæéãç«ã£ããæãçŽããããªã£ã¡ããæ§åããã
ãã®æ§æ Œãä»ã®ä¿ºã«ã¯ãªãïŒ
ãŒãè³ãèšã£ãŠãã®ã§ãã ã®èšèéã³ããžã§ãŒã¯ã®é¡ãããããªããïŒæè¿èããŠãããšã«è¿ã
ããªãã€ãŸããªãããšæãã®ããèšèªåããããšã¯ïŒèªåãäœè
ãªã®ããçºèŠããããšã«çãã
ã«ãã³ã®å£ºã¿ãããªã€ã¡ãŒãžïŒïŒã«ãã³ã®å£ºã®å
æ¥ã®æå³ãæèãšã¯ç°ãªããïŒïŒèªåã®æ£äœãæµ®ã圫ãããæ段ãšããŠïŒå¥ã«ãããžïŒçœïŒåæ¯(壺)ãã§åœ¢ã¥ããå¿
èŠã¯ãªãïŒãããïŒããã¬ïŒé»ïŒåŸæ¯ãããé説çã«æµ®ã圫ã£ãŠãè¯ãïŒ
ãšã°ãïŒä¹
ãã¶ãã«é£ãã£ãïŒ
å¥ã«ããããã¡ããŒãªæ²èª¿ã奜ããªããã§ãªããã ãïŒãªãã§ãããªé£ãã£ããã ãã...
æåååž°ã®ãã¹ã¿ã«ãžãã¯ãªæãã«ïŒå人çã«ã¯ããªã³ãžã®ããšã€ãªã¢ã³ãºãã«è¿ãè¡æïŒ
調ã¹ãŠã¿ããšïŒåœŒã¯æåæ謡vibesãšãããã®ãæšé²ããŠãããã
æ°žäºåãšããªãªãã¯ã«ç»å ŽããŠããïŒå€§ç§è© äžãšãåŽæããŠããã ãããïŒ
TOKYOäžçã«ã€ããŠ
TOKYOäžçã®ã«ãµã³ããã³ã«é¢ããŠã¯ïŒæ¢šæ¬ããã«éãããšãããããïŒæ¢šæ¬ããã¯ã¢ãã«ããªã«ãµã³ããã³ãªãã ãã©ïŒTOKYOäžçã®ããã«é¢ããŠã¯ïŒé幎ã®åã
ããçŸããã«ãµã³ããã³ãããïŒïŒçŸãããšãããšæããããããããªããïŒïŒ
ããã§ããŠïŒå€ªå®°æ²»ã®ãããªé ã§ã£ãã¡ãªã«ãµã³ããã³ã§ã¯ãªãïŒæ¯èŠªãšäžåšçšããšç«¶äºç€ŸäŒç匱è
ãšããïŒã©ããŸã§ãçŸå®çã§å¿ççãªã²ããŒã«æ ¹ãããŠããïŒå°ã«è¶³ãä»ããŠããæãïŒãšãããïŒããé ã®å
ãŸã§å°é¢ã«åãŸã£ãŠããã®ã ãïŒïŒ
ãããŒã«ã€ããŠ
LEXãdodoïŒTohjiã«è¿ãïŒ
tofubeatsãšããšçžæ§è¯ãããïŒ
ããŸã«å
¥ãæåæ謡æ²ïŒæŒæïŒã®ãããªãããŒãè¯ãéåæã«ãªã£ãŠïŒæ²ã«æ·±ã¿ãåºãŠãã
ãã©ãã¯ãšå£°ã®å å·¥ã«ã€ããŠ
æµ®éæã£ãŠããã®ããªïŒ
ãããæ£ããautotuneã®äœ¿ãæ¹ã£ãŠæããããïŒ
ãµãšç¬¬äžè
çãªèŠç¹ã«ãªã£ãŠå¹žããæãããããªïŒããããæµ®éæãæãããããã©ãã¯ãšå å·¥ïŒ
MLã·ã¹ãã éçºã«ãã䜿ãã®ã«ååå¿ãã¡ããã®ã§ã¡ã¢
ãããç 究ã³ãŒãã®ããŒã¹ã«äœ¿ãã®ãç¡ãã¯ãªãããªïŒ
TODOïŒPGI / ã¢ãã©ãŒïŒ
äŸãã°ã¢ãŠãããããäžæçã«ãŠã±ãŠã次ã
ãšä»äºãèã蟌ãã ãšããŸããããããããç¶æ³ã§ã€ã³ãããã®ããã«å匷ããã®ã¯ãæ©äŒè²»çšã倧ãããã ã£ãŠæã£ãŠããæéãå·çãè¬æŒã«äœ¿ãã°ãããããéã«ãªãã®ã«ãã€ã³ãããã®ããã®å匷ã¯ãããèªäœã§ã¯ãéãçã¿åºããŸããããããã€ãŸããå®éã«ã¢ãŠãããããæ±ãããã段éã«ãªã£ãŠããã€ã³ãããã®å匷ããããšããã®ã¯ãéåžžã«æ©äŒè²»çšã倧ããããã§ãã
ãã€ã³ããããå¿
èŠã«ãªã£ãæããšããã®ã¯ããããèå°ã«ç«ãŠããšèšãããŠããããã§ããããããã§å匷ãããŠããããã§ã¯ãã©ãããŠãä»ãçŒåçãªç¥èã®è¡šé¢çãªã€ã³ãããã«ãªããããããªãã
æèã¡ã¢ïŒãããžã¡ã³ãã®èª€ã£ãå
šèœæãšTikTokçå ±é
¬ç³»
èªåã§ã¯äœãçã¿åºããŠããªãã®ã«ïŒããããšå ±é
¬ç³»ãåºæ¿ããïŒå
šèœæã«é¥ã
ãšã³ãžãã¢ãªã³ã° â å°ç²åºŠã§ã®ãã€ã«ã¹ããŒã³ã倧éã«ããããïŒå ±é
¬ç³»ãåºæ¿ãããïŒTikTok
ç 究 â å ±é
¬ç³»ã¯ãšã³ãžãã¢ãªã³ã°ãšæ¯ã¹ããšçžå¯Ÿçã«åºæ¿ããã«ãããïŒãšã³ãžãã¢ãªã³ã°ãããå§åçã«æ¥œããïŒã®ã«ïŒç¡é§ãªãšã³ãžãã¢ãªã³ã°ããããžã¡ã³ãã«èµ°ãïŒå ±é
¬ç³»ãåºæ¿ãããããïŒ
ä»çµã¿å â é²æå ±å
èªèº«ããã¬ã€ã€ãŒã§ã¯ãªããã®ïŒãããžã¡ã³ãã«ãããŠã¯ïŒå
šãŠãä»çµã¿åãïŒå¯åŠåæéãæé©ã«åé
ããïŒæ³šïŒãããžã¡ã³ãã®æéãæå°åãããšããæã§ã¯ãªãã®ã§æ³šæïŒïŒ
ãããžã¡ã³ãã«ã¯ïŒTikTokãTwitterçã®ã·ã§ãŒãã³ã³ãã³ãã«äŒŒãå ±é
¬ç³»ã暪ããã£ãŠããããã«èŠãã
ããã¯ïŒèªèº«ã®ç®¡çïŒãããžã¡ã³ãã«ãããŠãåçã§ïŒæè»æ§ãä¿ã¡ã€ã€éšåçã«ä»çµã¿åããå¿
èŠãããïŒ
第1æ³å ãä»äºã®éã¯ãå®æã®ããã«äžããããæéããã¹ãŠæºãããŸã§èšåŒµããã
ãã«ãŒããªãªã
æ ç»ãã«ãŒããªãªããèŠã
å§åçãªæ£ãããšããã§ãªããã®ïŒããžã§ãªãã£ãšãã€ããªãã£ïŒç€ŸäŒçæ£çŸ©ãšçªåŒŸãïŒ
åãã¯åžžã«æ£ãããåŠå®ããŠçããŠãã
å
šäœæé©ãè¡ãããšæããšïŒäœãã®æ£ãããåŠå®ããªããã°ãªããªãïŒ
åœäººã«ãšã£ãŠã¯æ£ãããåŠå®ããŠããããã«ã¯æããªããïŒæ£ããã0-100ã§ã¯ãªãããïŒãã¹ããšãã©ãŒããšããŠãè¯ãããšãããã£ãŠããããã«èŠãããïŒãã®äžã€ã«æããã¹ããŒã¯ãã«ããŒããèŠããšïŒåœäººãæ£ãããåŠå®ããŠããããã«ããèŠããªã
以äžã®å°è©ããšãŠãè¯ãã£ãïŒïŒæ ç»ã ãšæŒ«ç»ãå°ãæ¹å€ãããŠããŠïŒãã£ãšæ
åçãªãã®ã ã£ãïŒ
å
«èã森å
茩ã®å±ç€ºäŒã«é£ããŠè¡ã£ãŠããã (äžç¥) äœãã§ããããšã¯ãªãïŒã
ãŠã«ãããããäŒãã«ããŠããä»ããã
å
«èããã£ä»ããïŒïŒæ¥åŸäºæ¬¡è©Šéšã ãã
ãŠã«ãåã¯æººããŠãã人ããããæåœéå
·ãæã£ãŠããŠãæµ·ã«é£ã³èŸŒãããšã¯ããªãã
ã裞ã§æ³£ããŠãã人ããããæããããŠè©±ãèãããšã¯ãã£ãŠãèªåãè±ãããšã¯çµ¶å¯Ÿã«ããªãããæããŠããããå·éãªãã ãåã¯ãæ£ããããæ£ããããåªç§ãªã®ããåã¯ãã€ã ã£ãŠåªç§ã ãã§ããããæ£ããå Žæãããã話ããªããªããã¢ã¿ã·ã¯ãåã«è©±ãããšã¯äœããªããã£ã»ã»ã»ã
人éã¯è€éãªãã€ããã¯ã¹ã«ç²Ÿç¥ãèããããªãã®ã§ïŒå
ã®ãã€ããã¯ã¹ãã³ã³ãããŒã«ãã¹ãïŒåçŽãªç®çé¢æ°ã®ã²ãŒã ãžãšå解éãã
æ®éã®äººã¯ïŒãã®ãã€ããã¯ã¹ãããŸãããããããã ããããšé©åã«åŠçã§ããããè¯ããã ãã©
æ
å ±ãè©°ãŸã£ãŠãã¢ããªèªäœã®æ€çŽ¢ãšã³ãžã³ãåªç§ã§ããã°ïŒãã¯ãã«DBãå¿
èŠãªãããã£ãŠè©±
é¢çœã¿ã«ã¯æ¬ ãããã©ïŒäœ¿ãåæã¯è¯ããã
ã¡ã¢
倧åŠé¢çã«ããããå¥åº·ã§æåçãªæäœé床ã®ç掻ãã«ã€ããŠ
以äžã®è¿äŒŒè§£ã解ãã°è¯ãïŒãã®çšåºŠã®ç²ãè¿äŒŒã§ãªããšäººéã¯ãŸãšãã«è§£ããªãïŒ
$ \bm{t} := \{t_w,t_l,t_s\epsilon\} \\ t_w + t_l + t_s + \epsilon = T \\ \: \\ \text{maximize}\: H(\mathrm{me},\bm{t}) \approx \text{maximize}\: \{H_w(t_w) \times H_l (t_l) \times f(t_s)\} \\ \approx \min \sum_{i} {(sim(\mathrm{me}, o_i) \times cost_i)} \times \max \sum_{j} {(sim(\mathrm{me}, o^\mathrm{norm}_j) \times cost_j)} \times f(t_s) \\ \mathrm{subject \: to} \:\: t_w + t_l \le T
åé¡ã¯$ t_wå
šæ¯ãã«ããŠããŸã£ãŠïŒ$ t_l \rightarrow 0ãšãªããã¿ãŒã³
ãŸãã¯ïŒäžæ¥ããã£ã±ããšä»äºãšç§ç掻ã«åãïŒ$ t_wãš$ t_lã確ä¿ããïŒäŸãã°9:00-18:00ã§$ t_wã確ä¿ïŒ
éåžžã³ãŒã¹ã§ããã°ïŒä¿®å£«ã§22, 23, 24æ³ããã
â åšãã®$ N幎ç®ç€ŸäŒäººãèŠãã°ïŒæ®éã®ç€ŸäŒã§ã¯$ t_wã$ TãŸã§äŒžã³ãããšããªãããšã¯éã
æ¿ç¥ã®ã¯ã
åªã
æ·¡ã
ãšïŒããæ°ããªããŠãšãããããã
é·ç·šå°èª¬ãæžãå Žåãäžæ¥ã«åçŸåè©°åçš¿çšçŽã«ããŠãåæèŠåœã§åçš¿ãæžããŠããããšãã«ãŒã«ãšããŠããŸããåã®ããã¯ã®ç»é¢ã§ãããšãã ãããäºç»é¢åãšããããšã«ãªããŸãããæããã®ç¿æ
£ã§åçŸåè©°ã§èšç®ããŸãããã£ãšæžããããŠãåæãããã§ãããŠããããä»æ¥ã¯ä»ã²ãšã€ä¹ããªããªãšæã£ãŠãããªããšãããã°ã£ãŠåæã¯æžããŸãããªããªãé·ãä»äºããããšãã«ã¯ãèŠåæ§ã倧åãªæå³ãæã£ãŠããããã§ããæžãããšãã¯å¢ãã§ããããæžãã¡ãããæžããªããšãã¯äŒããšããã®ã§ã¯ãèŠåæ§ã¯çãŸããŸãããã ããã¿ã€ã ã»ã«ãŒããæŒãã¿ããã«ãäžæ¥ã»ãŒãã£ããåææžããŸãã
ãã®ããã§ãã«ãœããå®çŸ©ãïŒèªåã«ãšã£ãŠã®$ o_i, o^\mathrm{norm}_jãæ¢ã
$ f(t_s), \epsilonãåä»ãªã®ã§ïŒã©ãã ãååã«ç¡ç ãåãããã»$ H_l(t_l)ã«ãå¯äžããªãç¡é§ãªæéãäœããªãã
ç¡é§ãªæé â ããããµãŒãã£ã³ã»ããããµãŒãã£ã³ã»ããããµãŒãã£ã³ ... etc
TO
èèé矜ã®éšããã¯è¡£è¡£ã®èžã«å²ãä¹±ã
éºããã«åŸ®ç¬ãããªããšäžç·ãªã
颚ã«ã§ããªããã
ã¡ã¢: æµé銬ã®è©±âæšäžéŸä¹ã®ã絶æããã°ããæ±ããŠããã°ãµãšåŒ±ã¿ãèŠãããã®ãšãã«åºãã
ç 究ã³ãã¥ããã£å
ã§ããã¯ãã²ãšã€ã®ç 究ãããžã§ã¯ãã«å¯ŸããŠç 究ããå®åã¡ã³ããŒã3åååŸãã¡ã³ã¿ãŒã3åååŸããããšããããšãçµéšçã«ããã£ãŠããã®ã§ãUK/EUã®ç 究ã¹ã¿ã€ã«ãšããã®ã¯ãã®çæ³ãäœåçã«å®çŸããŠããããã«ãæããŸãã
åºæ¬çã«ã¯å人ã§1ãNããŒãæã€ãšããããšãå€ãã§ããå士課çšä¿®äºæ¡ä»¶ã3ã4ã€ã®äž»èè«æãåºçããããšã«ããã®ãšé¢ä¿ãæ·±ããšæããŸãã