Leader Identification Using Multimodal Information in Multi-party Conversations

It is one of the important tasks to predict a participant's role in a multi-party conversation. Many previous studies utilized only verbal or non-verbal features to construct models for the role recognition task. In this paper, we propose a model that combines verbal and non-verbal features for leader identification. We add non-verbal features and construct our prediction model with utterance, pose, facial, and prosodic features. In our experiments, we compare our model with a baseline model that is based on only utterance features. The results show the effectiveness of our multimodal approach. In addition, we improve the performance of the baseline model to add some new utterance features.International Conference on Asian Language Processing (IALP 2020), 4-6 December, 2020, Kuala Lumpur, Malaysia（新型コロナ感染拡大に伴い、オンライン開催に変更

歯科機能の老化と体格・体力の関連度について : 男子高齢者の場合

In this paper, the relationships between physical function or physique, and dental function variables were investigated. Twenty two elderly volunteers(mean age=73.4; SD=3.54 years) participated as subjects in this quasi-experimental survey. The code names in this article represent the measurement as follows. DMFT(= Total number of decayed(D), missing(M), and treated(F) teeth), MT(=Number of missing teeth). GI(=Index for degree of gingival inflammation by visual inspection), PD(mm: -Depth of gingival sulcus or periodontal pocket examined with a dental probe), RPD(%: = Rate of number of teeth with periodontal pocket over 4mm depth per teeth presented), BI(%: = Index for degree of gingival inflammation determined by bleeding from gingival sulcus at touching with a dental probe), MI(= Index for degree of mobility of teeth), BF(R:L)(kg:= Maximum biting force in each side), VSAL(ml/min: - Volume of saliva secreted per minute) and PLQ(-Index for degree of plaque retention on teeth, which reflects individual daily food intake style and cleaning habits and technic of mouth). Concerning gum tissue, the following positive correlationships with physical function variables were observed DMFT and blinded balance in place; GI and standing height; BI and standing height; MI and blinded balance; PLQ and blinded balance. Many investigations have previously suggested that a correlations between grip strength and dental indexes existed, and it would seem to follow that the correlation with dental indexes also exists for sense of balance concerning the elderly

気分障害を伴う概日リズム睡眠障害に対してramelteonが著効した1例

出版社版Ramelteonは,メラトニン受容体(MT1/MT2)作動薬という特徴をもった新しい睡眠薬であり,睡眠相の調節作用を有することが報告されている.今回我々は,ramelteonが著効した,気分障害を伴う概日リズム睡眠障害の1例について報告する.症例は25歳,男性.5年前から情動の不安定さが出現した.また日中の過度の眠気や朝の起床困難が随伴したため,某精神科で気分障害およびナルコレプシーの疑いと診断された.十分量と思われる薬物治療(sertraline,milnacipran,valproate,methylphenidateなど)が数年間行われたが著効せず,当科を受診した.睡眠習慣についての問診票や睡眠日誌から睡眠相の後退が認められ,また,actigraphyやvideo-polysomnographyなどの諸検査の結果,ICSD-2における概日リズム睡眠障害,睡眠相後退型(DSPT)と診断された.一方,気分障害については,ICD-10における気分循環症の診断基準に矛盾しなかった.Ramelteonの内服開始後より睡眠相は徐々に前進し,情動の不安定さは軽減した.概日リズム睡眠障害と気分障害の合併率は高いことが知られており,気分障害の背景にある概日リズム睡眠障害の存在を見逃さないことが重要である