13197 research outputs found
Sort by
Application of Geometric Neural Network in Shape Analysis for Prediction of Gender and Age from Large-scale CT Database
Get PDF奈良先端科学技術大学院大学修士(工学)master thesi
イッパンカ ソウゴ ワリアテ モンダイ ニ タイスル ゴウイ セイギョ ニ モトヅク ブンサン ヒューリスティック アルゴリズム
Get PDF奈良先端科学技術大学院大学修士(工学)master thesi
Dynamic KL Regularization in Reinforcement Learning: Theoretical Error Propagation Analysis and an Algorithm
Get PDF奈良先端科学技術大学院大学修士(工学)master thesi
Emotion Dynamics Sensing Using a Wearable Facial EMG Device
No full textvideo/mp4期間:2022年10月14日講義場所: 研修ホールvide
Securing Cyber-Physical and IoT Systems in Smart Living Environments
No full textvideo/mp4Our daily lives are becoming increasingly dependent on smart cyber-physical infrastructures (e.g., smart homes or cities, smart grid, smart transportation, smart healthcare, smart agriculture, etc.). The wide availability of sensor enabled IoT devices and smartphones are also empowering us with fine-grained data collection and opinion gathering via mobile crowdsensing about events of interest, resulting in actionable inferences and decisions. This synergy has led to cyber-physical-human (CPH) convergence in smart living environments, the goal of which is to improve the quality of life. However, CPH and IoT systems are extremely vulnerable to security threats owing to their interdependence, large scale, heterogeneity, human behavior, and trust issues. This talk will highlight unique research challenges in smart living environments, build a unified data falsification threat landscape for CPH and IoT systems, and propose novel anomaly detection frameworks and models for securing such systems. Our novel solutions are based on a rich set of theoretical and practical design principles including AI/ML, data analytics, uncertainty reasoning, information theory, prospect theory, and reputation/ belief models. Case studies with real-world datasets will be presented to secure smart grid and smart vehicular CPS. The talk will be concluded with future research directions.講演日: 2022年12月14日 5限講演場所: 情報科学棟 エーアイ大講義室(L1)vide
Visualization of Topological Pharmacophore Space with Graph Edit Distance
No full textA topological pharmacophore (TP) is a chemical graph-based pharmacophore representation, where nodes are pharmacophoric features (PF) and edges are topological distances between PFs. Previously proposed sparse pharmacophore graphs (SPhGs) for TPs were shown to be effective in identifying structurally different active compounds while maintaining the interpretability of the graphs. However, one limitation of using SPhGs as queries is that many structurally similar SPhGs can be identified from a set of active compounds, requiring the classification and visualization of SPhGs, followed by an understanding of the pharmacophore hypotheses. In this study, we propose a scheme for SPhG analysis based on dimensionality reduction techniques with the graph edit distance (GED) metric. This metric enables measuring similarities among SPhGs in a quantitative manner. The visualization of SPhGs, which themselves are the graphs shared by active compounds, can help us understand the pharmacophore hypotheses as well as the data set. As a proof-of-concept study, we generated two-dimensional SPhG-maps using three dimensionality reduction techniques for six biological targets. A comparison with other pharmacophore representations was also conducted. We demonstrated knowledge extraction (interpretation of the data set) from the generated maps. Our findings include a suitable mapping algorithm as well as a pharmacophore hypothesis analysis procedure using an SPhG-map.journal articl
Phosphaacene as a structural analogue of thienoacenes for organic semiconductors
Get PDFAn air-stable λ3-phosphinine-containing polycyclic aromatic compound without steric protection was synthesized and its charge transport properties were evaluated, which revealed moderate hole mobility. This research is the first experimental demonstration of the organic electronic applications of low-coordinate phosphorus compounds.journal articl
Ethylene glycol metabolism in the poly(ethylene terephthalate)-degrading bacterium Ideonella sakaiensis
Get PDFPoly(ethylene terephthalate) (PET)-degrading bacterium Ideonella sakaiensis produces hydrolytic enzymes that convert PET, via mono(2-hydroxyethyl) terephthalate (MHET), into the monomeric compounds, terephthalic acid (TPA), and ethylene glycol (EG). Understanding PET metabolism is critical if this bacterium is to be engineered for bioremediation and biorecycling. TPA uptake and catabolism in I. sakaiensis have previously been studied, but EG metabolism remains largely unexplored despite its importance. First, we identified two alcohol dehydrogenases (IsPedE and IsPedH) and one aldehyde dehydrogenase (IsPedI) in I. sakaiensis as the homologs of EG metabolic enzymes in Pseudomonas putida KT2440. IsPedE and IsPedH exhibited EG dehydrogenase activities with Ca2+ and a rare earth element (REE) Pr3+, respectively. We further found an upregulated dehydrogenase gene when the bacterium was grown on EG, whose gene product (IsXoxF) displays a minor EG dehydrogenase activity with Pr3+. IsPedE displayed a similar level of activity toward various alcohols. In contrast, IsPedH was more active toward small alcohols, whereas IsXoxF was the opposite. Structural analysis with homology models revealed that IsXoxF had a larger catalytic pocket than IsPedE and IsPedH, which could accommodate relatively bulkier substrates. Pr3+ regulated the protein expression of IsPedE negatively; IsPedH and IsXoxF were positively regulated. Taken together, these results indicated that the combination of IsPedH and IsXoxF complements the function of IsPedE in the presence of REEs. IsPedI exhibited dehydrogenase activity toward various aldehydes with the highest activity toward glycolaldehyde. This study demonstrated a unique alcohol oxidation pathway of I. sakaiensis, which could be efficient in EG utilization.journal articl