現代生活における漆器の使用に関する研究 : 情報提供の場としての企画展の実施を事例に

指導教員: 埼玉大学教養学部教養学科文化環境講座教授 梶島邦江textapplication/pdfthesi

現代中国語における領属物に対する依存性 - 名詞述語文が成立する背景 -

2005-03-10departmental bulletin pape

"The Future Carnival of the Animals" 20th Anniversary Commemorating Performance of Harmony Hall Fukui

"The Future Carnival of the Animals" is the name of the 20th Anniversary Commemorating Performance of the "Harmony Hall Fukui", held on September 23, 2017. Based on "The Carnival of the Animals", a masterpiece of French composer Saint-Saens, "The Future Carnival of the Animals" added new composed 16 tunes, and video animation had been projected synchronously to the music. The video was shot and produced by the students of Department of Design, Fukui University of Technology. Its production process and the outline of the performance are reviewed in this paper.departmental bulletin pape

Pemafibrate Dramatically Ameliorated the Values of Liver Function Tests and Fibrosis Marker in Patients with Non-Alcoholic Fatty Liver Disease

[Background] Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease related to metabolic syndrome, which can progress to liver cirrhosis. Standard medication has not been established. Pemafibrate is a selective peroxisome proliferatoractivated receptor (PPAR) α modulator. We retrospectively evaluated the efficacy of pemafibrate in patients with NAFLD. [Methods] We retrospectively enrolled 17 patients (ten men, seven women; median age, 63 years; range, 27?81 years). They were all proven to have fatty liver through imaging and had little or no history of drinking (ethanol consumption of < 20 g/day for women and < 30 g/day for men). They were administered pemafibrate from October 2018 to June 2020. [Results] After administration, serum triglyceride (TG) tended to be decreased (300.5 ± 22.5 to 239.5 ± 34.3 mg/dL, P = 0.06). Serum high-density lipoprotein (HDL) cholesterol and low density lipoprotein (LDL) cholesterol levels did not change. ALT was significantly decreased (-47.4%) for six months (57.5 ± 8.8 to 30.3 ± 5.8 U/L, P < 0.01). The values of serum GGT significantly decreased (-48.7%) for sixth months (63.9 ± 10.3 to 32.8 ± 6.6 U/L, P < 0.01). Aspartate aminotransferase (AST) to platelet ratio (APRI), a fibrosis marker, also was significantly decreased in the sixth month (0.7 ± 0.1 to 0.4 ± 0.1, P < 0.05). Body mass index (BMI) and hemoglobin A1c (HbA1c) showed no significant change. [Conclusion] Pemafibrate dramatically ameliorated the values of liver function tests and APRI in patients with NAFLD.journal articl

A Proposal for Curriculum Improvement in High School Technical Course - From teaching practice of the electrical basis in the electrical department

text紀要論文/Departmental Bulletin Paperdepartmental bulletin pape

Measurement of branching fractions and charge asymmetries for two-body B meson decays with charmonium

journal articl

エイゾウ データベース ノ タメノ エンザン タイケイ ト アッシュク ジョウホウ コウゾウ ニ カンスル ケンキュウ

奈良先端科学技術大学院大学修士(工学)master thesi

Exploring Optimal Reaction Conditions Guided by Graph Neural Networks and Bayesian Optimization

The optimization of organic reaction conditions to obtain the target product in high yield is crucial to avoid expensive and time-consuming chemical experiments. Advancements in artificial intelligence have enabled various data-driven approaches to predict suitable chemical reaction conditions. However, for many novel syntheses, the process to determine good reaction conditions is inevitable. Bayesian optimization (BO), an iterative optimization algorithm, demonstrates exceptional performance to identify reagents compared to synthesis experts. However, BO requires several initial randomly selected experimental results (yields) to train a surrogate model (approximately 10 experimental trials). Parts of this process, such as the cold-start problem in recommender systems, are inefficient. Here, we present an efficient optimization algorithm to determine suitable conditions based on BO that is guided by a graph neural network (GNN) trained on a million organic synthesis experiment data. The proposed method determined 8.0 and 8.7% faster high-yield reaction conditions than state-of-the-art algorithms and 50 human experts, respectively. In 22 additional optimization tests, the proposed method needed 4.7 trials on average to find conditions higher than the yield of the conditions recommended by five synthesis experts. The proposed method is considered in a situation of having a reaction dataset for training GNN

Oximidines I and II: Novel Antitumor Macrolides from <i>Pseudomonas</i> sp.

Our screening for cell-cycle inhibitors in transformed cells resulted in the isolation of novel active compounds, oximidines I (1) and II (2), from Pseudomonas sp. Q52002. The molecular formulas of 1 and 2 were established as C23H24N2O7 and C23H24N2O6, respectively, by high-resolution FABMS. The structures of the oximidines were elucidated by NMR spectral analysis, including a variety of two-dimensional techniques. The absolute stereochemistry of 1 was determined by using the modified Mosher method. The oximidines are novel 12-membered macrolides containing an O-methyloxime moiety. Oximidines I and II selectively inhibited the growth of rat 3Y1 cells transformed with E1A, ras, or src oncogenes