{"id":6980,"date":"2025-10-09T13:25:19","date_gmt":"2025-10-09T04:25:19","guid":{"rendered":"https:\/\/aizoth.com\/?page_id=6980"},"modified":"2025-12-05T15:59:16","modified_gmt":"2025-12-05T06:59:16","slug":"publication","status":"publish","type":"page","link":"https:\/\/aizoth.com\/en\/service\/multi-sigma\/publication\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<div style=\"height:75px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-x-large-font-size\">[Papers using Multi-Sigma\u00ae]<\/h2>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Title<\/strong><\/td><td><strong>Author<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Year<\/strong><\/td><td><strong>Journal<\/strong><\/td><\/tr><tr><td><a href=\"https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0335601\" target=\"_blank\" rel=\"noreferrer noopener\">A neural network approach to sarcopenia prediction based on bioelectrical impedance in community-dwelling older adults<\/a><\/td><td>Kyohei Shibuya&nbsp;<em>et al.<\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2025<\/td><td><em>PLoS One 20<\/em>(11): e0335601.<\/td><\/tr><tr><td><a href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acssuschemeng.5c05184\" target=\"_blank\" rel=\"noreferrer noopener\">A Deep Learning Framework for Predicting Global Warming Potential of Refrigerants for Sustainable Chemical Design<\/a><\/td><td>Navin Rajapriya, and<br>Kotaro Kawajiri<\/td><td class=\"has-text-align-center\" data-align=\"center\">2025<\/td><td><em>ACS Sustainable Chem. Eng. <\/em>2025, <\/td><\/tr><tr><td><a href=\"https:\/\/www.mdpi.com\/2308-3417\/10\/5\/124\" target=\"_blank\" rel=\"noreferrer noopener\">Examination of Social Participation in Older Adults Undergoing Frailty Health Checkups Using Deep Learning Models.<\/a><\/td><td>Yoshiharu Yokokawa <em>et al.&nbsp;<\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2025<\/td><td><em>Geriatrics<\/em>&nbsp;10.5 (2025): 124.<\/td><\/tr><tr><td><a href=\"https:\/\/psecommunity.org\/LAPSE:2025.0214v1\" target=\"_blank\" rel=\"noreferrer noopener\">Dynamic analysis for prediction of flow patterns in an oscillatory baffled reactor using machine learning.<\/a><\/td><td>Hideyuki Matsumoto <em>et<\/em> <em>al.<\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2025<\/td><td><em>Systems and Control Transactions <\/em>(2025): 394-398.<\/td><\/tr><tr><td><a href=\"https:\/\/doi.org\/10.2477\/jccjie.2024-0012\" target=\"_blank\" rel=\"noreferrer noopener\">A Study of Deep Learning for Quantitative Analysis of Vitamin A in Cattle Blood<\/a><\/td><td>Mizuki Shibasaki <em>et al.<\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2024<\/td><td><em>Journal of Computer Chemistry, Japan-International Edition<\/em> 10 (2024).<\/td><\/tr><tr><td><a href=\"https:\/\/doi.org\/10.1021\/acs.analchem.4c00478\" target=\"_blank\" rel=\"noreferrer noopener\">Machine Learning for Characterizing Biofuels Based on Femtosecond Laser Ionization Mass Spectrometry<\/a><\/td><td>Tomoko Imasaka <em>et al.<\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2024<\/td><td><br><em>Analytical Chemistry<\/em>, 96, 25, (2024), 10193\u201310199<\/td><\/tr><tr><td><a href=\"https:\/\/doi.org\/10.2320\/matertrans.MT-LA2022009\" target=\"_blank\" rel=\"noreferrer noopener\">Role and Potential of Aluminium and Its Alloys for a Zero-Carbon Society<\/a><\/td><td>Shinji Kumai<\/td><td class=\"has-text-align-center\" data-align=\"center\">2023<\/td><td><em>Materials Transactions<\/em> 64.2 (2023): 319-333.<\/td><\/tr><tr><td><a href=\"https:\/\/doi.org\/10.2464\/jilm.73.456\" target=\"_blank\" rel=\"noreferrer noopener\">\u30bc\u30ed\u30ab\u30fc\u30dc\u30f3\u793e\u4f1a\u69cb\u7bc9\u306b\u304a\u3051\u308b\u30a2\u30eb\u30df\u30cb\u30a6\u30e0\u3068\u305d\u306e\u5408\u91d1\u306e\u5f79\u5272\u3068\u53ef\u80fd\u6027<\/a><\/td><td>Shinji Kumai<\/td><td class=\"has-text-align-center\" data-align=\"center\">2023<\/td><td>\u8efd\u91d1\u5c5e 73 \u5dfb (2023) 9 \u53f7<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div style=\"height:32px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-50 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-black-color has-text-color has-background has-link-color has-medium-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/aizoth.com\/en\/freetrial\/\" style=\"border-radius:100px;background-color:#ffe200\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Free Trial<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-x-large-font-size\">[Conference Proceedings]<\/h2>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/td><td><strong>Author<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\">Year<\/td><td>\u8ad6\u6587\u96c6<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><a href=\"https:\/\/scholar.google.com\/scholar?hl=ja&amp;as_sdt=0%2C5&amp;q=O-14+%E3%82%AC%E3%82%B9%E5%8C%96%E7%82%89%E5%86%85%E3%82%AF%E3%83%AA%E3%83%B3%E3%82%AB%E3%81%AE%E5%BD%A2%E6%88%90%E6%8A%91%E5%88%B6%E3%81%AB%E9%96%A2%E3%81%99%E3%82%8B%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92%E3%82%92%E7%94%A8%E3%81%84%E3%81%9F%E8%80%83%E5%AF%9F&amp;btnG=\" target=\"_blank\" rel=\"noreferrer noopener\">O-14 \u30ac\u30b9\u5316\u7089\u5185\u30af\u30ea\u30f3\u30ab\u306e\u5f62\u6210\u6291\u5236\u306b\u95a2\u3059\u308b\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u8003\u5bdf<\/a><\/td><td><br>Kenji Koido<\/td><td class=\"has-text-align-center\" data-align=\"center\">2024<\/td><td>\u30d0\u30a4\u30aa\u30de\u30b9\u79d1\u5b66\u4f1a\u8b70\u767a\u8868\u8ad6\u6587\u96c6<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsmebiofro\/2023.34\/0\/2023.34_1D21\/_article\/-char\/ja\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u52d5\u5727\u6d6e\u4e0a\u9060\u5fc3\u8840\u6db2\u30dd\u30f3\u30d7\u306e\u30a4\u30f3\u30da\u30e9\u5916\u7e01\u90e8\u306b\u304a\u3051\u308b\u591a\u5186\u5f27\u8ef8\u53d7\u306e\u6027\u80fd\u5411\u4e0a\u306b\u5411\u3051\u305f\u5f62\u72b6\u63a2\u7d22<\/a><\/td><td>Sho Sato <em>et al. <\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2023<\/td><td>\u30d0\u30a4\u30aa\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6 <\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><a href=\"https:\/\/www.jstage.jst.go.jp\/article\/jsmebiofro\/2020.31\/0\/2020.31_2C16\/_article\/-char\/ja\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u52d5\u5727\u6d6e\u4e0a\u9060\u5fc3\u8840\u6db2\u30dd\u30f3\u30d7\u306e\u8ef8\u53d7\u6027\u80fd\u306e\u6539\u5584<\/a><\/td><td>Kodai Hamakawa<em> et al. <\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2020<\/td><td>\u30d0\u30a4\u30aa\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div style=\"height:32px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-50 is-style-outline is-style-outline--2\"><a class=\"wp-block-button__link has-black-color has-text-color has-background has-link-color has-medium-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/aizoth.com\/en\/collaborative_research\/\" style=\"border-radius:100px;background-color:#ffe200\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Joint Research<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-x-large-font-size\" style=\"text-transform:capitalize\">[Preprint]<\/h2>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/td><td><strong>Author<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Year<\/strong><\/td><td><\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2025.09.25.678453.abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A Novel MiRNA Detection System Combining TWJ-SDA, Multistep L-TEAM, and CRISPR-Cas3.<\/a><\/td><td> Riko Miyazaki <em>et al.<\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2025<\/td><td><em>bioRxiv <\/em>(2025): 2025-09.<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=4853122\" target=\"_blank\" rel=\"noreferrer noopener\">Sex Prediction of Chicken Embryos Based on Density Features in Transmitted Images and Light Absorbance at Specific Wavelength Extracted from Embryos of Different Ages in Days<\/a><\/td><td>Tetsuhito Suzuki <em>et al.<\/em><\/td><td class=\"has-text-align-center\" data-align=\"center\">2024<\/td><td><em>SSRN<\/em> 4853122.<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\"><a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=4964919\" target=\"_blank\" rel=\"noreferrer noopener\">A Machine Learning Approach to Predict Meat Production Factors in Japanese Black Cattle Fattening<\/a><\/td><td>Daniele Pinna <em>et al<\/em>.<\/td><td class=\"has-text-align-center\" data-align=\"center\">2024<\/td><td><em>SSRN 4964919<\/em><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<div style=\"height:32px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<div style=\"height:75px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-large-font-size wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-50 is-style-outline is-style-outline--3\"><a class=\"wp-block-button__link has-black-color has-text-color has-background has-link-color has-medium-font-size has-custom-font-size wp-element-button\" href=\"\/en\/contact\/\" style=\"border-radius:100px;background-color:#ffe200\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Contact Us<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:32px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"[Papers using Multi-Sigma\u00ae] TitleAuthorYearJournalA neural network approach to sarcopenia prediction based on  <a href=\"https:\/\/aizoth.com\/en\/service\/multi-sigma\/publication\/\" class=\"more-link\">&#8230;<span class=\"screen-reader-text\">  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