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ジドウ ソウコウ ストレス ケイゲン ト ジョウキョウ ハアク ノ リョウリツ ノ タメノ ブッタイ ヒトク カコウ シュホウ ノ ヒョウカ
Get PDF本研究では，自動走行ストレス軽減のためにそのストレス要因を秘匿することに注目し，位置と大きさの 情報を残しつつも視覚から得られる情報量を少なくすることにより，ストレス軽減と状況把握を両立する映像加工 パターンの提案とその効果検証を行う．半透明，バウンディングボックス，シャド，完全秘匿の4 つの映像加工パ ターンによって，物体の位置や大きさの情報を保持したまま視覚からの情報量を削減することで，ストレス軽減と 状況把握の向上を図る．予備実験より分類された4 つのストレス要因グループについて，VR-HMD を用いたシミュ レータによりそれぞれ映像加工パターンを提示し，ストレス軽減の効果と状況把握に関するアンケートによる主観 的評価を実施した．20 人の被験者実験結果から，秘匿度を優先するグループに比べ，即時的な状況認識の必要性が 高いグループの方が両立指数が低いというものであった．これは，即時の状況認識が必要なストレス要因には，情 報量削減と状況把握の両方が必要であるという考えを支持する結果となった．technical repor
エイゾウ シチョウジ ノ ジドウ ソウコウ ヨイ ケイゲン ノ タメ ノ クウカン オーディオ ジョウホウ テイジ ニ ヨル ジュウシン イドウ ノ ケントウ
Get PDF自動走行化することによって，多くの搭乗者は動画視聴などの映像コンテンツを見ることに時間を費やすことが予測されている．しかし，走行中の予測困難な車両挙動からの複数の刺激により，自動走行酔い発症の増加も懸念されている．よって本研究では，自動走行環境における映像コンテンツ視聴時の酔い軽減を目的とし，空間オーディオを用いた自車挙動の情報提示による重心移動の誘導手法を提案する．conference pape
Quantitative evaluation model of variable diagnosis for chest X-ray images using deep learning
No full textThe purpose of this study is to demonstrate the use of a deep learning model in quantitatively evaluating clinical findings typically subject to uncertain evaluations by physicians, using binary test results based on routine protocols. A chest X-ray is the most commonly used diagnostic tool for the detection of a wide range of diseases and is generally performed as a part of regular medical checkups. However, when it comes to findings that can be classified as within the normal range but are not considered disease-related, the thresholds of physicians’ findings can vary to some extent, therefore it is necessary to define a new evaluation method and quantify it. The implementation of such methods is difficult and expensive in terms of time and labor. In this study, a total of 83,005 chest X-ray images were used to diagnose the common findings of pleural thickening and scoliosis. A novel method for quantitatively evaluating the probability that a physician would judge the images to have these findings was established. The proposed method successfully quantified the variation in physicians’ findings using a deep learning model trained only on binary annotation data. It was also demonstrated that the developed method could be applied to both transfer learning using convolutional neural networks for general image analysis and a newly learned deep learning model based on vector quantization variational autoencoders with high correlations ranging from 0.89 to 0.97.journal articl
Augmented conversations: AR face filters for facilitating comfortable in-person interactions
No full textIndividuals with social anxiety often experience heightened anxiety during face-to-face conversations due to their fear of negative judgments when perceiving neutral facial expressions from others. This research aims to alleviate this anxiety by introducing a novel approach that involves overlaying visual effects onto the conversation partner via an augmented reality head-mounted display. We developed an AR application for HoloLens 2, allowing users to overlay either an anime-style avatar or a smiling face photo during in-person interactions. We conducted a user study where participants engaged in dyadic conversations using our AR application. 29 participants compared three conditions: control, anime-style avatar, and smiling face photo. The findings reveal two significant outcomes: (1) overlaying an anime-style avatar onto the conversation partner enhances conversational comfort, and (2) individuals with pronounced social interaction anxiety and intense fear of negative evaluation benefit from our AR-based system. This research presents possibilities for practical solutions that could improve the well-being of individuals with social anxiety during in-person conversations.journal articl
Genetic dissection of the cellular functions sensitive to elevated temperatures in fission yeast
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Structural basis for lysophosphatidylserine recognition by GPR34
No full textGPR34 is a recently identified G-protein coupled receptor, which has an immunomodulatory role and recognizes lysophosphatidylserine (LysoPS) as a putative ligand. Here, we report cryo-electron microscopy structures of human GPR34-Gi complex bound with one of two ligands bound: either the LysoPS analogue S3E-LysoPS, or M1, a derivative of S3E-LysoPS in which oleic acid is substituted with a metabolically stable aromatic fatty acid surrogate. The ligand-binding pocket is laterally open toward the membrane, allowing lateral entry of lipidic agonists into the cavity. The amine and carboxylate groups of the serine moiety are recognized by the charged residue cluster. The acyl chain of S3E-LysoPS is bent and fits into the L-shaped hydrophobic pocket in TM4-5 gap, and the aromatic fatty acid surrogate of M1 fits more appropriately. Molecular dynamics simulations further account for the LysoPS-regioselectivity of GPR34. Thus, using a series of structural and physiological experiments, we provide evidence that chemically unstable 2-acyl LysoPS is the physiological ligand for GPR34. Overall, we anticipate the present structures will pave the way for development of novel anticancer drugs that specifically target GPR34.journal articl
Response and Resistance of Rice to the Invasive Herbivore Golden Apple Snail (Pomacea canaliculata)
Get PDF奈良先端科学技術大学院大学博士(バイオサイエンス)doctoral thesi
Design and synthesis of molecular gear prototypes based on lanthanoid double-decker complexes
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テイシンシュウカ オ メザシタ ジンコウ シカクヨウ CMOS スマート デンキョク トウサイ タソウ フレキシブル デバイス ノ カイハツ
Get PDF奈良先端科学技術大学院大学博士(工学)doctoral thesi