Tokushima University / Educator and Researcher Directory --- Uchiyama, Hachiro

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Tokushima University ⟩ Institute of Liberal Arts and Sciences ⟩

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Research

Field of Study

○	英語教育計算社会科学社会調査社会医学

Subject of Study

○	社会科学と英語教育, 社会関係資本, 計算社会科学, 学習と生活習慣, 公衆衛生・健康関連指標と学習関連指標の関係, エビデンスに基づく政策形成など

Book / Paper

Book:

1.	Hachiro Uchiyama : "Healthcare and Quality of Life in Two Cities," pp. 92-99, in "The Intersection of Arts, Humanities, and Science: Fifteen Selected Passages for University Students--2nd Edition--", The Japan Association of International Liberal Arts, Seibido, Mar. 2024. (Keyword) public health / international health / Japan / Republic of Sierra Leone / healthcare system
2.	Hachiro Uchiyama : "Economy, healthcare, and quality of life in two cities," pp. 66-71, in "The Intersections of Arts, Humanities, and Science", The Japan Association of International Liberal Arts, Seibido, Apr. 2020.

Academic Paper (Judged Full Paper):

1.	Hachiro Uchiyama, Chigusa Uchiumi and Hiroki Inoue : Psychosocial Factors and Change in Time Spent Studying by Students in Japan during the COVID-19 Pandemic, JAILA Journal, Vol.9, 44-55, 2023. (Summary) This study examines predictive associations between psychosocial variables as independent variables and ``Change in Time Spent Studying by Students'' as the dependent variable. Data collected by the Cabinet Office of Japan amid the COVID-19 pandemic are analyzed with multivariate models to screen for the best combination of variables that can account for the effects on the dependent variable. A series of binary logistic regression analyses illuminates that the model with motivation to study, anxiety, life satisfaction, satisfaction with health status, and satisfaction with social bonds as explanatory variables is the fittest of all tested models. In particular, the importance of motivation, anxiety, and life satisfaction is deliberated regarding their effects on study-related variables. Furthermore, these variables' implications for evidence-based school policies and curricula are discussed. (Keyword) study-related behavior / motivation / anxiety / life satisfaction / COVID-19 pandemic (Tokushima University Institutional Repository) ● Metadata: 118086 (Link to Publication Site) ● Publication site (DOI): 10.57359/jailajournal.9.0_44 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390858397086547200 ● Search Scopus @ Elsevier (DOI): 10.57359/jailajournal.9.0_44 (Tokushima University Institutional Repository: 118086, DOI: 10.57359/jailajournal.9.0_44, CiNii: 1390858397086547200)
2.	Hiroki Inoue and Hachiro Uchiyama : Development of Introductory Software on Bayesian Inference Modeling for Stan and R, Niigata Journal of Health and Welfare, Vol.21, No.2, 82-98, 2021. (Summary) <p>Purpose of study: Stan is a new programming language used for Bayesian inference that implements the Hamiltonian Monte Carlo (HMC) algorithm. There is a high possibility that, going forward, this language will be widely adopted within the healthcare domain as well for research that makes use of Markov chain Monte Carlo (MCMC) methods. We have developed a new software, with the principle aim of helping healthcare researchers become acquainted with Bayesian inferences. This software is free and makes it simpler to run models written using Stan. Materials and methods: The current software ``Fatsia'' is an operation management tool or macro tool that controls data files, Stan files, Stan, and R. The core specifications for Fatsia are as follows: The operation windows were positioned in a manner that followed the procedure for running the MCMC modeling on Stan. Several MCMC models were prepared as templates, with the user able to directly run the template they selected, or to edit that template. Results and findings: The free software, Fatsia, that we developed met the above specifications. It could be operated via a graphical user interface (GUI), with the use of keyboard input outside of the necessary procedures, reduced to the smallest degree possible. When controlling Stan and R, Fatsia can export Stan files to R and commands R to execute MCMC methods on the R console. Conclusions: The usefulness of Fatsia was in streamlining the procedure for executing an MCMC using Stan. With Fatsia, we were able to run Stan MCMC models with the smallest possible amount of keyboard use. When compared with OpenBUGS or RStudio, the operation of Fatsia is easier, showing a high degree of utility. Hence, the implementation of more MCMC templates can be expected in the future.</p> (Keyword) template / Stan / R / MCMC / Bayesian inference (Link to Publication Site) ● Publication site (DOI): 10.34540/niigatajohewe.21.2_82 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390573242964475776 ● Search Scopus @ Elsevier (DOI): 10.34540/niigatajohewe.21.2_82 (DOI: 10.34540/niigatajohewe.21.2_82, CiNii: 1390573242964475776)
3.	Hiroki Inoue and Hachiro Uchiyama : Development and Evaluation of Interactive Smartphone App for Visualization of Bayesian Inference Using R-Shiny, Niigata Iryo Fukushi Gakkaishi, Vol.21, No.3, 108-120, 2021. (Summary) <p>Purpose</p><p>This work studies the porting of B.T.V.T.I., a Bayesian inference visualization program for PCs, to smartphones and tablets. The function of the program's operations was evaluated after porting and a user survey was conducted to evaluate its utility in learning and understanding Bayesian inference.</p><p>Method</p><p>The R and Shiny programming languages were used for the porting, while the survey was carried out via Google Forms.</p><p>Result</p><p>The BTVTI-R program, with its user interface re-arranged for smartphones, afforded a nearly identical reproduction of B.T.V.T.I. operations. However, screen size restrictions disabled the porting of those B.T.V.T.I. techniques that had several types of input data. A survey question asked to ascertain how interesting this app had made Bayesian statistics for its users revealed that 65.6% of respondents were interested in it.</p><p>Discussion</p><p>The connectivity of BTVTI-R with the server, believed to be unstable when the program was left unattended for a short period of time, was a cause of concern as it could impair the convenience of operations. As indicated by the survey results from respondents familiar with Bayesian inference, this application could, in combination with books and classroom lectures, be a useful tool for learning this topic. Further, it is possible that this simple application, if integrated into a smartphone, might spark interest about Bayesian inference in the minds of novice learners.</p> (Keyword) smartphone / R / Shiny / visualization tool / Bayesian inference (Link to Publication Site) ● Publication site (DOI): 10.34540/niigatajohewewa.21.3_108 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390573242773763840 ● Search Scopus @ Elsevier (DOI): 10.34540/niigatajohewewa.21.3_108 (DOI: 10.34540/niigatajohewewa.21.3_108, CiNii: 1390573242773763840)
4.	井上弘樹 and Hachiro Uchiyama : Development of the Python3 based Bayesian inference dynamic visualization tool ``B.T.V.T.I.'' with multiplatform support designed to assist decision-making in healthcare and welfare, Niigata Iryo Fukushi Gakkaishi, Vol.21, No.2, 19-41, 2021. (Summary) <p>Objective:To address the three pending issues that were raised after the release of B.I.T. (Bayesian inference tool). A Bayesian inference visualization tool expands the user experience by providing support to multiple platforms; it adds robustness to calculations instead of approximation and offers various inference visualization options other than the normal distribution.</p><p>Method:Using Python3, NumPy, SciPy, and the plotting tool Matplotlib, we created a new Bayesian inference visualization tool that runs on multiple operating systems and assures a robust calculation of the posterior probability. In addition, new cases of Bayesian inferences other than the normal distribution were collected for visualization.</p><p>Results:The newly developed B.T.V.T.I. (Bayesian tool for various types of inferences) runs on Windows, macOS, and Linux (Ubuntu). It is a software program with twelve Bayesian inference visualization screens, out of which nine have the statistical function implementation of SciPy. The program calculates and displays graph curves of the posterior distribution and posterior probability values at the same time as the observed values and variables are input. However, because a different programming language is used, its operation screen is different from that of B.I.T.</p><p>Discussion:The future expandability of B.T.V.T.I. to other devices, the application and limits of SciPy, and future implementation and visualization of the uncited Bayesian inference cases were discussed. Ideally, users must be familiar with the principle, premises, and applications of the Bayesian inference to use this software.</p> (Keyword) マルチプラットフォーム / Python / SciPy / 視覚化ツール / ベイズ推測 / multiplatform / python / scipy / visualization tool / bayesian inference (Link to Publication Site) ● Publication site (DOI): 10.34540/niigatajohewewa.21.2_19 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390853179620171264 ● Search Scopus @ Elsevier (DOI): 10.34540/niigatajohewewa.21.2_19 (DOI: 10.34540/niigatajohewewa.21.2_19, CiNii: 1390853179620171264)
5.	Hachiro Uchiyama, Mark Taylor and Hiroki Inoue : Self-assessed reading comprehension in English among adults in Japan: Implications of lifestyle and information technology, JAILA Journal, Vol.7, 2-13, 2021. (Summary) This study commences with statistical data analysis of Japanese adults' self-assessment of their English reading comprehension and various explanatory variables. Data from the Japanese General Social Survey (JGSS) were analyzed in two stages. In the first stage, a series of bivariate analyses were conducted with demographic, socio-economic, and lifestyle-related indicators as independent variables and self-assessed reading comprehension in English as the dependent variable. In the second stage, several multivariate models were constructed to determine which model best accounts for the effects on the dependent variable. The variables in the category of lifestyle-related factors—which includes the degree of information technology (IT) utilization—surfaced as predictive of the variable on self-assessed reading comprehension in English for Japanese adults. Subsequent to the analyses, implications and possibilities of IT as a reading resource for Japanese adult learners of English are discussed. (Keyword) Japanese learners of English language / self-assessed reading skills / logistic regression analysis (Tokushima University Institutional Repository) ● Metadata: 118088 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1050295801993344768 (Tokushima University Institutional Repository: 118088, CiNii: 1050295801993344768)
6.	Hiroki Inoue and Hachiro Uchiyama : Development of J-Assist, a statistical analysis support tool for Julia, Niigata Journal of Health and Welfare, Vol.21, No.1, 12-24, 2021. (Summary) <p>Julia is a new programming language that was released in 2012. Similar to Python, in the future, Julia has the potential for use in numerical analysis applications. In this study, we developed a free software named J-Assist that automatically executes statistical analysis operations in Julia version 1.4, which could introduce and popularize Julia among researchers and clinicians in the field of health and medical welfare. J-Assist provides a simple graphical user interface and is easy to install. Through this study, we demonstrate that it is possible to configure a system that automatically executes calculations and scripts in Julia. We compare J-Assist with EZR and Jupyter Notebook. J-Assist can be considered a simpler version of EZR. However, the execution languages used in J-Assist and EZR are different. J-Assist is intended for users who are new to Julia and programming and want to use Julia for quick statistical analysis; by contrast, Jupyter Notebook is suitable for users who want to develop complex programs and perform other complex analyses in Julia. This study also discusses the limitations of the current J-Assist software and functions that might be added to it in the future to expand its applicability for statistical analysis.</p> (Keyword) Julia / statistical analysis / Jupyter Notebook / automatic execution (Tokushima University Institutional Repository) ● Metadata: 118095 (Link to Publication Site) ● Publication site (DOI): 10.34540/niigatajohewe.21.1_12 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390290229666074496 ● Search Scopus @ Elsevier (DOI): 10.34540/niigatajohewe.21.1_12 (Tokushima University Institutional Repository: 118095, DOI: 10.34540/niigatajohewe.21.1_12, CiNii: 1390290229666074496)
7.	Inoue Hiroki and Hachiro Uchiyama : A study on the relationship between domestic noise complaints and local government ordinances in Japan, 新潟医療福祉学会誌, Vol.20, No.2, 1-8, 2020. (Keyword) 家庭生活騒音 / 騒音規制法 / 条例 / 苦情件数 (Tokushima University Institutional Repository) ● Metadata: 118089 (Tokushima University Institutional Repository: 118089)
8.	Hiroki Inoue, Hachiro Uchiyama, Kensuke Moriwaki, Shinichiro Yanagisawa and Kunihiro Nishimura : B.I.T.: Development of a dynamic visualization tool for Bayesian inference on various types of normal distributions for medical decision-making and education, Niigata Journal of Health and Welfare, Vol.19, No.1, 22-36, 2019. (Summary) type:論文(Article) (Keyword) visualization tool / intuitive operation / normal distribution / medical decision-making / Bayesian inference (Tokushima University Institutional Repository) ● Metadata: 118094 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1050002212665833856 (Tokushima University Institutional Repository: 118094, CiNii: 1050002212665833856)
9.	Hachiro Uchiyama, Maki Ikoma and Shigemitsu Takagi : Interdisciplinary analyses of lifestyle-related factors, social capital, and proficiency in English as a foreign language among students at a university in Japan, JAILA Journal, Vol.4, 38-49, 2018. (Summary) This study examines observable tendencies and statistical associations between lifestyle-related factors and components of social capital, on the one hand, and variables for English language proficiency on the other. A survey was carried out at Doshisha University in July 2017 to collect the pertinent data from the students taking English language courses. The results illuminated that following variables, e.g., were associated with variables representing English language proficiency: (1) preference for music over sports, (2) classification of average weekly minutes spent studying English outside classrooms, (3) whether or not the respondent has family members, relatives, or friends who are good at English, (4) whether or not the respondent thinks that he/she has many friends, (5) whether or not the respondent has friends from other countries with whom English is used to communicate mutually, and (6) the number of days having been abroad. Not only the presence of similarities between language and music, but also the positive effects of specific social capital as manifested in the above-mentioned variables (3), (4), and (5) that promote the exposure to and the use of English language have been suggested, though positive effects of general social capital were not validated in this study. Other lifestyle-related factors of importance that had to be omitted from this paper shall be addressed in future studies. (Tokushima University Institutional Repository) ● Metadata: 118090 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390859923229357568 (Tokushima University Institutional Repository: 118090, CiNii: 1390859923229357568)
10.	Hachiro Uchiyama, Mikio Ouchi and Kazuo Ichikawa : English language education for engineering majors at a university in Japan: Predictive factors and reflections on screening for effective and riveting in-class activities, JAILA Journal, Vol.3, 27-38, 2017. (Tokushima University Institutional Repository) ● Metadata: 118091 (Tokushima University Institutional Repository: 118091)
11.	Hachiro Uchiyama : Components of social capital and marital status: A global perspective, JAILA Journal, Vol.2, 39-50, 2016. (Summary) Utilizing data on 65 countries from the International Institute of Social Studies and the United Nations' Population Division, this study examines the extent of the goodness of fit between components of social capital (COSC) and marital status of male and female subpopulations in various age brackets, by means of Pearson's product-moment correlation coefficient analysis. Subsequently, Spearman's correlation coefficient analysis is executed for the combinations of variables that have resulted in high R2 values in the first phase of the analyses. The results elucidated high levels of the goodness of fit as well as correlations between single males (25-59 years of age) and ``Civic Activism.'' In particular, single males between 35 and 39 years of age demonstrated the highest values both in terms of R2 and rs. For the female subpopulations, single women between 20 and 49 years of age had relatively high levels not only of the goodness of fit but also of correlations, again, with the variable ``Civic Activism.'' In conclusion, micro-level studies, as well as research scrutinizing the possible role of the Internet technology, are suggested as potential future topics. (Tokushima University Institutional Repository) ● Metadata: 118092 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390860322095794816 (Tokushima University Institutional Repository: 118092, CiNii: 1390860322095794816)
12.	Hachiro Uchiyama : Prefecture-level social capital in Japan: An interdisciplinary perspective, JAILA Journal, Vol.1, 26-37, 2015. (Tokushima University Institutional Repository) ● Metadata: 118093 (Tokushima University Institutional Repository: 118093)
13.	Hachiro Uchiyama and Masato Kawabata : Social capital and health in malaria-prevalent areas of the Solomon Islands, The Kobe Journal of Medical Sciences, Vol.57, No.2, 49-62, 2011. (Tokushima University Institutional Repository) ● Metadata: 118096 (Tokushima University Institutional Repository: 118096)
14.	Kaoru Takahashi, Hachiro Uchiyama, Shinichiro Yanagisawa and Isao Kamae : The logistic regression and ROC analysis of group-based screening for predicting diabetes incidence in four years, The Kobe Journal of Medical Sciences, Vol.52, No.6, 171-180, 2006. (Tokushima University Institutional Repository) ● Metadata: 118097 (Tokushima University Institutional Repository: 118097)
15.	Li Cai, Hachiro Uchiyama, Shinichiro Yanagisawa and Isao Kamae : Cost-effectiveness analysis of influenza and pneumococcal vaccinations among elderly people in Japan, The Kobe Journal of Medical Sciences, Vol.52, No.4, 97-109, 2006. (Tokushima University Institutional Repository) ● Metadata: 118098 (Tokushima University Institutional Repository: 118098)

Academic Paper (Unrefereed Paper):

1.	Asako Okamoto, Dwi Elsi Hapsari, Hachiro Uchiyama and Masato Kawabata : Community-based disaster health management and social capital in Indonesia, Report of Research Center for Urban Safety and Security, Vol.11, 293-302, 2007.
2.	Hachiro Uchiyama, Shinichiro Yanagisawa and Isao Kamae : Smoking status of Japan in comparison with selected countries in the world, Report of Research Center for Urban Safety and Security, Vol.7, 107-115, 2003.

Proceeding of Domestic Conference:

1.	Hachiro Uchiyama, Chigusa Uchiumi and Hiroki Inoue : Recurrent education, life satisfaction, and anxiety in Japan during the COVID-19 pandemic, Poster presentation for the 11th Annual Meeting of the Japan Association of International Liberal Arts (held at Doshisha University Shinmachi Campus), Feb. 2023. (Keyword) recurrent education / life satisfaction / anxiety / COVID-19 pandemic / logistic regression analysis
2.	Hachiro Uchiyama, Chigusa Uchiumi and Hiroki Inoue : Psychosocial changes during the COVID-19 pandemic on student and adult populations in Japan, Poster presentation for the 10th Annual Meeting of the Japan Association of International Liberal Arts (held online), Mar. 2022.
3.	井上弘樹 and Hachiro Uchiyama : スマートフォンやタブレット上で動作するインタラクティブなベイズ統計的シグナル検出法の視覚化アプリ開発の試み, Japanese Journal of Pharmacoepidemiology, Vol.26, No.supplement, 161-162, Nov. 2021.
4.	井上弘樹 and Hachiro Uchiyama : スマートフォン用ベイズ推測視覚化アプリ開発で得られた経験, 新潟医療福祉学会誌学術集会特集号, Vol.21, No.1, 116, Oct. 2021.
5.	Hachiro Uchiyama, Hiroki Inoue and Mark Taylor : Reflections on secondary data analysis: A method to extrapolate social tendencies, Video (poster) presentation for the 9th Annual Meeting of the Japan Association of International Liberal Arts (held online), Mar. 2021.
6.	Hachiro Uchiyama : Correspondence analysis and its applications in sociological studies of English as a foreign language in Japan, Poster presentation for the 8th Annual Meeting of the Japan Association of International Liberal Arts (held at the University of Hyogo), Mar. 2019.
7.	Hachiro Uchiyama, Mikio Ouchi, Kazuo Ichikawa and Shigemitsu Takagi : A survey of backgrounds, lifestyles, and English language education at a university in Japan, Poster presentation for the 7th Annual Meeting of the Japan Association of International Liberal Arts (held at Tsurumi University), Mar. 2018.
8.	大内幹雄, Hachiro Uchiyama and 市川一夫 : 「英語で学ぶグローバル・サイエンス」, 日本国際教養学会第6回全国大会 (ポスター発表於同志社大学今出川キャンパス), Feb. 2017.
9.	Hachiro Uchiyama, Mikio Ouchi and Kazuo Ichikawa : A case study on science majors in the context of English language education, Poster presentation for the 5th Annual Conference of the Japan Association of International Liberal Arts (held at the Tokyo University of Science), Mar. 2016.

Et cetera, Workshop:

1.	井上弘樹 and Hachiro Uchiyama : Julia言語向け統計解析マクロ実行ツールへの，コクラン・マンテル・ヘンチェル推定とメタアナリシス機能の追加実装報告, Japanese Journal of Pharmacoepidemiology, Vol.27, 124-125, Nov. 2022.
2.	井上弘樹 and Hachiro Uchiyama : Julia言語の統計解析マクロ実行ツールへの生存時間解析の追加実装報告, Japanese Journal of Public Health, Vol.81, 297, Sep. 2022.
3.	Hachiro Uchiyama and George Moreton : 徳島大学のオンライン英語授業におけるアクティブ・ラーニングの実践例と考察, 第17回大学教育カンファレンス in 徳島, Jan. 2022.
4.	Hachiro Uchiyama : 同志社大学におけるTOEFL®を活用した取り組み:Intensive Courses for TOEFL® (I.C.T.), TOEFL Web Magazine, https://www.cieej.or.jp/toefl/webmagazine/educators-class/1811/, 15, Nov. 2018.
5.	井上弘樹, 森脇健介, Hachiro Uchiyama and 柳澤振一郎 : 生存モデルのハザード関数に関するベイズ推測視覚化ツールの開発, Japanese Journal of Social Pharmacy, Vol.30, No.2, 103-104, Jan. 2012.
6.	井上弘樹, 森脇健介, Hachiro Uchiyama and 柳澤振一郎 : 薬剤経済学のためのNNT(治療必要数)のベイズ推測視覚化ツール, Japanese Journal of Social Pharmacy, Vol.29, No.2, 118-119, Mar. 2011.
7.	井上弘樹, Hachiro Uchiyama and 柳澤振一郎 : 生存モデルのための，Weibull分布のベイズ推測視覚化ツールの開発, Japanese Journal of Social Pharmacy, Vol.28, No.3, 65-66, Mar. 2010.
8.	井上弘樹, Hachiro Uchiyama, 柳澤振一郎 and 西村邦宏 : 医学判断のための，Dirichlet分布と多項モデルのベイズ推測視覚化システム, Health Sciences, Vol.24, No.3, 317, Mar. 2009.
9.	井上弘樹, Hachiro Uchiyama, 柳澤振一郎 and 西村邦宏 : 「疫学教育のための，対数t分布を用いた対数正規分布のベイズ推測視覚化ツール」, 第19回日本疫学会総会講演集 (Journal of Epidemiology), Vol.19, No.Supplement (1), 83, Jan. 2009.
10.	井上弘樹, Hachiro Uchiyama, 柳澤振一郎 and 西村邦宏 : 「医学判断における，2つの割合の評価の為のベイズ推計視覚化システム」, Health Sciences, Vol.25, No.3, 216, 2009.
11.	井上弘樹, Hachiro Uchiyama, 柳澤振一郎, 西村邦宏 and 前田英一 : 「疫学学習の為の二変量正規分布における相関と回帰のベイズ推測視覚化ツール」, 第19回総会講演集, 84, 2009.
12.	井上弘樹, Hachiro Uchiyama, 柳澤振一郎 and 西村邦宏 : 疫学教育のための，二つの正規分布の比較のベイズ推測視覚化ツール開発, Japanese Journal of Pharmacoepidemiology, Vol.12, 56-57, Oct. 2007.

Report:

1.	Hiroki Inoue and Hachiro Uchiyama : B.I.T.の機能追加実装とリリースの報告―第2報―, 新潟医療福祉学会誌学術集会特集号, Vol.22, No.1, 103, Oct. 2022.
2.	井上弘樹 and Hachiro Uchiyama : B.I.T.の機能追加実装とリリースの報告, 新潟医療福祉学会誌学術集会特集号, Vol.21, No.1, 124, Oct. 2021.

Grants-in-Aid for Scientific Research (KAKEN Grants Database @ NII.ac.jp)

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