室内植物表型平台及性状鉴定研究进展和展望

Plant phenomics is under rapid development in recent years, a research field that is progressing towards integration, scalability, multi-perceptivity and high-throughput analysis. Through combining remote sensing, Internet of Things (IoT), robotics, computer vision, and artificial intelligence techniques such as machine learning and deep learning, relevant research methodologies, biological applications and theoretical foundation of this research domain have been advancing speedily in recent years. This article first introduces the current trends of plant phenomics and its related progress in China and worldwide. Then, it focuses on discussing the characteristics of indoor phenotyping and phenotypic traits that are suitable for indoor experiments, including yield, quality, and stress related traits such as drought, cold and heat resistance, salt stress, heavy metals, and pests. By connecting key phenotypic traits with important biological questions in yield production, crop quality and Stress-related tolerance, we associated indoor phenotyping hardware with relevant biological applications and their plant model systems, for which a range of indoor phenotyping devices and platforms are listed and categorised according to their throughput, sensor integration, platform size, and applications. Additionally, this article introduces existing data management solutions and analysis software packages that are representative for phenotypic analysis. For example, ISA-Tab and MIAPPE ontology standards for capturing metadata in plant phenotyping experiments, PHIS and CropSight for managing complicated datasets, and Python or MATLAB programming languages for automated image analysis based on libraries such as OpenCV, Scikit-Image, MATLAB Image Processing Toolbox. Finally, due to the importance of extracting meaningful information from big phenotyping datasets, this article pays extra attention to the future development of plant phenomics in China, with suggestions and recommendations for the integration of multi-scale phenotyping data to increase confidence in research outcomes, the cultivation of cross-disciplinary researchers to lead the next-generation plant research, as well as the collaboration between academia and industry to enable world-leading research activities in the near future

日商簿記検定の合否判別に関する予備的研究 ― 生活習慣および学修習慣のアンケートを用いて ―

The purpose of this pilot study is to investigate the relationship between the lifestyle of the students at International Pacific University and success in the form of passing scores. Data were collected using a questionnaire from the students who took an examination for“ Bookkeeping” held by the Japan Chamber of Commerce and Industry. Sleep duration, having breakfast, learning times and concentration times were used as predictors of performance for passing the test. This study was designed using discriminant analysis to determine if these variables were a good predictor of successfully passing the test. Findings from this study demonstrated that there is a significant positive correlation between sleep duration and concentration times in relation to the student scores on the“ Bookkeeping” test. Discriminant function analysis revealed that the sleep duration, having breakfast, learning times and concentration times can successfully classify those who pass or fail the “Bookkeeping” test with a hit-rate of 84.6%

Information and Communication Technologies and Informal Scholarly Communication: A Review of the Social Oriented Research

This article reviews and analyzes findings from research on computer mediated informal scholarly communication. Ten empirical research papers, which show the effects and influences of information & communication technologies (ICTs), or the effects of social contexts on ICTs use in informal scholarly communication, were analyzed and compared. Types of ICTs covered in those studies include e-mails, collaboratories, and electronic forums. The review shows that most of the empirical studies examined the ICTs use effects or consequences. Only a few studies examined the social shaping of ICTs and ICT uses in informal scholarly communication. Based on comparisons of the empirical findings this article summarizes the ICT use effects/consequences as identified in the studies into seven categories and discusses their implications

山地林と都市近郊林における樹木の葉内生菌相の比較

報告番号: ; 学位授与年月日: 2008-03-24 ; 学位の種別: 修士 ; 学位の種類: 修士(環境学) ; 学位記番号: 修創域第2599号 ; 研究科・専攻: 新領域創成科学研究科自然環境学専

大學社群粉絲的情緒與互動關聯探討

[[abstract]]本研究主要討論大學粉絲專頁中，訊息與情緒反應之間的關係，以及何種情緒容易刺激粉絲產生參與和 分享。根據S-O-R模型與粉絲專頁所提供的功能分類，提出一套模型，測試訊息、情緒和互動三者之間 的關係。本研究樣本取自全球粉絲數量最多的大學機構，抓取所有文章，以及對應的粉絲回應數量與內 容，共計13,006則訊息。最終揭示粉絲行為與訊息形式具備相互影響關係，而且粉絲人數越多的大學機 構，明顯會善用訊息情緒引發有效互動，提升粉絲對於內容的留言與分享行為，進而刺激更高的內容自 然觸及率。[[notice]]補正完