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クウキアツ バルーン ト キカイシキ ピストン オ モチイタ ニソウ コウゾウガタ ショクリキカク テイジ デバイス ノ テイアン ト ヒョウカ
Get PDF奈良先端科学技術大学院大学修士(工学)master thesi
ライブ エイゾウ ト サンジゲン テングン オ ヘイヨウ シタ ツウシン チエン オ カンジサセナイ シャリョウガタ テレプレゼンス ソウジュウ システム
Get PDF奈良先端科学技術大学院大学修士(工学)master thesi
Kinesthetic Actuation for Force Feedback using Pneumatic Actuators and Brakes
Get PDF奈良先端科学技術大学院大学修士(工学)master thesi
カガク ギジュツ エノ カンシン ノ メイカクカ ト タンキュウ ケンキュウ ト シテノ グタイカ ニ ムケテ : コウギ、パネル ディスカッション
No full textvideo/mp4講演日:2023年09月30日講演場所: 情報科学棟 エーアイ大講義室(L1)vide
カガク ギジュツ エノ カンシン ノ メイカクカ ト タンキュウ ケンキュウ ト シテノ グタイカ ニ ムケテ : バイオサイエンス リョウイキ ガクセイ パネリスト トノ セッション
No full textvideo/mp4講演日:2023年09月30日講演場所: 情報科学棟 L2vide
Data-driven categorization of postoperative delirium symptoms using unsupervised machine learning
No full textBackground: Phenotyping analysis that includes time course is useful for understanding the mechanisms and clinical management of postoperative delirium. However, postoperative delirium has not been fully phenotyped. Hypothesis-free categorization of heterogeneous symptoms may be useful for understanding the mechanisms underlying delirium, although evidence is currently lacking. Therefore, we aimed to explore the phenotypes of postoperative delirium following invasive cancer surgery using a data-driven approach with minimal prior knowledge.
Methods: We recruited patients who underwent elective invasive cancer resection. After surgery, participants completed 5 consecutive days of delirium assessments using the Delirium Rating Scale-Revised-98 (DRS-R-98) severity scale. We categorized 65 (13 questionnaire items/day200952013wake cycle disturbance. Subsequent K-means clustering permitted classification of participants into seven subgroups: (i) cognitive and higher-order thinking domain dominant delirium, (ii) prolonged delirium, (iii) acute and brief delirium, (iv) subsyndromal delirium-enriched, (v) subsyndromal delirium-enriched with insomnia, (vi) insomnia, and (vii) fit.
Conclusion: We found that patients who have undergone invasive cancer resection can be delineated using unsupervised machine learning into three delirium clusters, two subsyndromal delirium clusters, and an insomnia cluster. Validation of clusters and research into the pathophysiology underlying each cluster will help to elucidate the mechanisms of postoperative delirium after invasive cancer surgery.journal articl
ジドウシャ ウンテン ノ テキセツ ナ ソクド セイギョ オ ウナガス カクチョウ ゲンジツカン
Get PDFVarious studies have confirmed that AR is effective in work support. However, the effectiveness of behavioral induction using AR has not been well verified. Therefore, we focused on driving behavior and verified a method to encourage drivers to control their speed properly. Factors that prevent proper speed control include the fact that speed perception has a large error margin and that the target speed is not properly set. This research proposed and verified three patterns to improve these factors. The result showed that all of the patterns were effective. However, it also suggested that there could be an adverse effect on driving when the target speed setting was affected.journal articl
Acquisition of neural fate by combination of BMP blockade and chromatin modification
Get PDFNeural induction is a process where naive cells are converted into committed cells with neural characteristics, and it occurs at the earliest step during embryogenesis. Although the signaling molecules and chromatin remodeling for neural induction have been identified, the mutual relationships between these molecules are yet to be fully understood. By taking advantage of the neural differentiation system of mouse embryonic stem (ES) cells, we discovered that the BMP signal regulates the expression of several polycomb repressor complex (PRC) component genes. We particularly focused on Polyhomeotic Homolog 1 (Phc1) and established Phc1-knockout (Phc1-KO) ES cells. We found that Phc1-KO failed to acquire the neural fate, and the cells remained in pluripotent or primitive non-neural states. Chromatin accessibility analysis suggests that Phc1 is essential for chromatin packing. Aberrant upregulation of the BMP signal was confirmed in the Phc1 homozygotic mutant embryos. Taken together, Phc1 is required for neural differentiation through epigenetic modification.journal articl
Improving Hardware Trojan Detection Coverage by Utilizing Features at Different Abstraction Levels
No full textIn this paper, we introduced a solution to improve hardware Trojan (HT) detection coverage by analyzing features at different abstraction levels. We demonstrated our solution with a supervised classification of HT branching statement (BS) in register-transfer-level (RTL) description. The proposed classifier was trained with a double-abstraction-level feature vector consisting of features extracted at RTL and gate level (GL). In the experiment, we evaluated the HT detection coverage of the trained classifier by applying them on 24 self-designed HT circuits. The proposed classifier achieved the highest 87.5% HT detection coverage with 81.25% true positive rate (TPR), 88.44% true negative rate (TNR), and 88.24% accuracy (ACC). The result proved that the double-abstraction-level feature vector outperformed the single-abstraction-level feature vector with a higher HT detection coverage.journal articl
Electrochemical activities of Fe2O3-modified microelectrode for dopamine detection using fast-scan cyclic voltammetry
No full textDopamine (DA) is the most important neurotransmitter involved in motor control. Abnormalities in neurotransmitter levels may indicate brain disorders, such as Parkinson’s disease and depression. Herein, electrochemical sensors containing metal oxide nanoparticles were fabricated for detecting DA. Specifically, iron oxide nanoparticles were applied onto a flexible polyimide substrate to obtain a flexible microelectrode and their DA detection performance was evaluated in vitro and in vivo. The electrochemical performance of the fabricated sensor was evaluated via fast-scan cyclic voltammetry conducted in a DA solution at concentrations between 0 and 50 nM. The peak current corresponding to the oxidation reaction of the Fe2O3-modified microelectrode for DA was observed at an applied potential of 0.49 V. The modified microelectrode exhibited a DA response with a high sensitivity of 34.14 nA/μm2 nM and a low limit of detection of 8.76 nM. In vivo experiments were performed using a freely moving mouse. Notably, 15 min after nicotine injection, the current increased considerably. The peak current corresponded to a 10 nM concentration in the calibration curve. The co-detection of DA and serotonin was also analyzed. The results showed that only the oxidation peak of DA appeared upon applying a triangular voltage waveform. Therefore, the proposed detector is capable of overcoming the drawbacks associated with conventional detectors and can be integrated with other implantable devices.journal articl