13197 research outputs found
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Get PDF奈良先端科学技術大学院大学修士(工学)master thesi
Risk of Mortality Prediction Involving Time-Varying Covariates for Patients with Heart Failure Using Deep Learning
No full textHeart failure (HF) is challenging public medical and healthcare systems. This study aimed to develop and validate a novel deep learning-based prognostic model to predict the risk of all-cause mortality for patients with HF. We also compared the performance of the proposed model with those of classical deep learning- and traditional statistical-based models. The present study enrolled 730 patients with HF hospitalized at Toho University Ohashi Medical Center between April 2016 and March 2020. A recurrent neural network-based model (RNNSurv) involving time-varying covariates was developed and validated. The proposed RNNSurv showed better prediction performance than those of a deep feed-forward neural network-based model (referred as “DeepSurv”) and a multivariate Cox proportional hazard model in view of discrimination (C-index: 0.839 vs. 0.755 vs. 0.762, respectively), calibration (better fit with a 45-degree line), and ability of risk stratification, especially identifying patients with high risk of mortality. The proposed RNNSurv demonstrated an improved prediction performance in consideration of temporal information from time-varying covariates that could assist clinical decision-making. Additionally, this study found that significant risk and protective factors of mortality were specific to risk levels, highlighting the demand for an individual-specific clinical strategy instead of a uniform one for all patients.journal articl
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Get PDFUIテストのテストスクリプトの設計を効率化することを目的に，他のシステムの類似機能から同じ操作対象を推定する手法を提案する．4種類の似たUIを用意して操作を記録し，操作前後で変化したDOMの差分の類似度を用いて手法の有効性を検証した．類似度を元に操作対象の対応関係を評価した結果，操作対象は一致したが操作は一致しなかった．conference pape
Microenvironmental Analysis and Control for Local Cells under Confluent Conditions via a Capillary-Based Microfluidic Device
No full textSophisticated functions of biological tissues are supported by small biological units of cells that are localized within a region of 100 μm scale. The cells in these units secrete molecules to form their microenvironment to play a vital role in biological functions. Various microfluidic devices have been developed to analyze the microenvironment but were not designed for cells in a culture dish in a confluent condition, a typical setup for cell and tissue cultivation. This study presents a novel glass capillary-based microfluidic device for studying confluent cells in a culture dish. The multiple capillaries allow the device to confine the local flow in 100 μm or smaller scale to form two adjacent regions with different chemical properties; it can simultaneously perform local cell stimulation and collect secreted molecules from the stimulated cells. Cell removal was achieved upon trypsin stimulation from a limited area (3.8 × 1020133 mm2), which corresponded to 7.6 ± 2.0 cells, using the mouse skeletal myoblast cell line (C2C12 cells) in a confluent condition. Microenvironmental analysis was demonstrated by measuring the secreted tumor necrosis factor alpha (TNF-α) collected from the microenvironment of the stimulated and unstimulated mouse leukemic monocyte cell line (RAW264 cells) to track temporal changes in the TNF-α production. The TNF-α secreted from stimulated cells was approximately four-fold higher than that from unstimulated cells in 90 min. This device enables local cell stimulation and the collection of secreted molecules for cells under confluent conditions, which contributes to the analysis of the cellular microenvironment.journal articl
Video Generation Unconsciously Evoking Pre-Motion to Passengers in Automated Vehicles
Get PDFThis paper aims to propose a video generation and display method to reduce acceleration stimulus for the passenger in automated ve-hicles by making him/her perceive the vehicle's behavior change in advance with evoking pre-motion to passengers. In automated driving, it is difficult to predict the acceleration stimulus that arises due to the vehicle's behavior change. As a result, motion sickness is led. Our method tries to solve the problem by displaying videos to con-trol the passenger's motive perception. The experiments are con-ducted by displaying an omnidirectional video which the projection surface is deformed according to the acceleration of a passenger on an electric wheelchair. As a result, the deformation reduced the per-ception of acceleration and deceleration is confirmed.conference pape
イネ ノ キョウセイ セイギョ インシ CCaMK オ カイシタ キョウセイ ビセイブツ クサムラ ノ セイギョ
Get PDF奈良先端科学技術大学院大学修士(バイオサイエンス)master thesi
Evaluation of Hand-Scaling Skills of Dental Hygienist Students: Identification of Contact Between Hand-Scaler Blade Tip and Tooth Surface
No full textDental hygienist students require a self-learning simulator to learn the correctness of hand-scaling techniques. An essential technique in hand scaling is the maintenance of contact between the tip of the hand-scaler blade and the tooth. However, imaging-based methods cannot effectively reveal this contact because the gingiva and buccal mucosa conceal the blade. Therefore, this study aimed to propose a method to identify the appropriate contact state of the blade with the tooth by using an inertial measurement unit (IMU) attached to the hand scaler and a force sensor attached to the target tooth. The hand-scaling motion was measured in an experiment in which participants were instructed to use the tip or middle of the blade to contact the tooth. The contact state of the blade, whether it was the tip or the middle, was identified using 18 features, including the average and standard deviation of nine dimensions of force, acceleration, and angular velocity with a support vector machine (SVM). The results showed that the model using all 18 features could classify the contact state with an accuracy of 97.1%. Furthermore, the accuracy was 95.9% with the 12 features from IMU alone, which was not significantly different from the accuracy with 18 features. The accuracy was 88.8% with six features from the force sensor alone. These results indicate that the IMU alone can identify the correct contact state, highlighting the possibility of creating a realistic simulator for training dental hygienists in evaluating the blade-contact state.journal articl
RAFT polymerisation of N-vinylformamide and the corresponding double hydrophilic block copolymers
Get PDFReversible addition223C 8022121 and low dispersities (<1.4) were synthesized. Excellent chain-end fidelity was confirmed by ESI-TOF mass spectrometry. A series of double hydrophilic block copolymers comprising a PNVF segment were successfully synthesized and characterized via asymmetric flow field flow fractionation (AF4) and 1H DOSY-NMR techniques. Finally, poly(N-vinylcaprolactam)-b-poly(N-vinylformamide) (PVCL-b-PNVF) was hydrolysed into the original dual responsive poly(N-vinylcaprolactam)-b-poly(N-vinylamine) (PVCL-b-PVAm), thus revealing the strong potential of this RAFT approach to develop PVAm-based complex architectures.journal articl
Online EEG-Based Emotion Prediction and Music Generation for Inducing Affective States
No full textMusic is often used for emotion induction because it can change the emotions of people. However, since we subjectively feel different emotions when listening to music, we propose an emotion induction system that generates music that is adapted to each individual. Our system automatically generates suitable music for emotion induction based on the emotions predicted from an electroencephalogram (EEG). We examined three elements for constructing our system: 1) a music generator that creates music that induces emotions that resemble the inputs, 2) emotion prediction using EEG in real-time, and 3) the control of a music generator using the predicted emotions for making music that is suitable for inducing emotions. We constructed our proposed system using these elements and evaluated it. The results showed its effectiveness for inducing emotions and suggest that feedback loops that tailor stimuli to individuals can successfully induce emotions.journal articl