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Artificial Intelligence and the Fourth Industrial Revolution

為了解決Isha Life的問題，作者 這樣論述：

Utpal Chakraborty is an eminent data scientist, AI researcher, strategist and thought leader with more than two decades of industry experience, including as a principal architect in Larsen & Toubro (L&T) Infotech, IBM, Capgemini and other MNCs. At the moment he is head of Artificial Intelligence at

YES Bank. Utpal is a well-known speaker and author on artificial intelligence, IoT, as well as Agile & Lean and has spoken at conferences around the world. His recent research on machine learning titled ＂Layered Approximation for Deep Neural Networks＂ has been appreciated at several conferences, ins

titutions, and universities. He has also demonstrated a few out-of-the-box hybridized Agile & Lean implementations in different industries. Amit Banerjee joined the Advanced Device Research Division, Research Institute of Electronics, National University Corporation, Japan, as a scientific researche

r in 2016 and was also part of the Innovative Photonics Evolution Research Center (iPERC) at Hamamatsu, Japan. He later joined the prestigious National University of Singapore as a scientist in 2017. Currently Amit is member of more than 30 international advisory boards and technical program committ

ees in various countries. He has co-authored several scientific papers, edited books, presented papers at several international conferences as plenary and keynote speaker, and received awards, including the Young Physicist Award and honorary life-membership from the Indian Physical Society He is kee

nly engaged in consulting futuristic technologies for business firms, educational ventures, and universities. Amit received a PhD in semiconductor technology from the Energy Research Unit, Indian Association for the Cultivation of Science (D.S.T., Govt. of India), and has worked extensively on the d

esign and development of high-vacuum plasma CVD reactors, which are used in industrial manufacturing of solar cells, coatings, and TFTs. He also developed low-cost high-vacuum MW-PECVD units, and conceived the process for cost-effective commercial-grade antireflection coating (ARC) synthesis for sol

ar cells by nanocrytalline diamonds. His current work is on terahertz technology, including THz sensors and sources, design, and fabrication, aiming at biomedical imaging applications. His recent work on antenna-coupled microbolometer arrays is compatible with state-of-the-art medium-scale semicondu

ctor device fabrication processes, and technologically competitive with commercial viability as on-chip integrable detector arrays for terahertz imaging. Jayanta Kumar Saha received his LLM and PhD from the University of Burdwan, West Bengal, India. With more than 20 years of teaching experience, he

has served as dean of Faculty and vice chancellor of Bankura University, West Bengal. He has handled three international research projects with the University of New South Wales, Sydney, Australia; AMRF, Dhaka, Bangladesh; and Swansea University, Wales, UK. He has also completed many projects under

UGC and ICSSR, New Delhi. He has specialization in and has taught constitutional law, administrative law and corporate law. He is a member of Executive Council and The Court of Bankura University. He has been an Australia India Council (AIC) Senior Fellow in 2011 and was involved in research activi

ties in major Australian universities. He was also awarded UGC-UKIERI (UK-India Education and Research Initiative) Thematic Partnership 2014 as a co-researcher. Prof. Saha has published many research articles in several reputed journals. He has also presented papers at international conferences and

workshops in many universities, including London School of Economics (UK), Edinburgh Napier University, Scotland (UK), Swansea University, Wales (UK), and Universitat Rovira I Virgili at Terragona, Barcelona (Spain).Niloy Sarkar is a graduate in life science with honors from the University of Calcut

ta, India, and a postgraduate in public system management with specialization in health care and hospital management from the Indian Institute of Social Welfare and Business Management (IISWBM), Kolkata. He holds an M.Phil. in hospital and health system management from the Birla Institute of Technol

ogy and Science (BITS), Pilani, India, in collaboration with the Tulane University Medical Centre, New Orleans, USA, and Christian Medical College and Hospital, Vellore, India. The National Institute of Technology (NIT), Durgapur, has awarded him a PhD in social science and management. He has over 2

1 years of experience. Prior to joining the Neotia University, he was the dean of academics at NSHM Knowledge Campus (NSHM College of Management & Technology), Durgapur, and the regional director for Indian Society for Health Administrator (ISHA), Bangalore. At present, Prof. Sarkar is one of the Na

tional Committee members on IT and ITeS at the Confederation of Indian Industries (CII), New Delhi. Dr. Sarkar has published several research papers in international and national journals in the areas of service quality in healthcare, cost-benefit indexing in hospitals, pay for performance, manpower

planning, employee involvement, geographical variation of expectation of customers in hospitals, and so forth. He has also presented several technical papers at many international and national conferences. He is chair, convenor, secretary, and scientific committee member for several national and in

ternational conferences. Prof. Sarkar is on the editorial board of two international journals and one national journal. He is a member of the Patient Safety Research group at the World Health Organization (WHO), Geneva. His research is interdisciplinary and focuses on healthcare, health system manag

ement, general management, behavioral and social sciences, and specifically on artificial intelligence (AI) and machine learning in healthcare.Chinmay Chakraborty is an assistant professor at the Department of Electronics and Communication Engineering, BIT Mesra, India. His primary areas of research

include wireless body area network, Internet of Medical Things, energy-efficient wireless communications and networking, and point-of-care diagnosis. Prior to BIT, he worked at the Faculty of Science and Technology, ICFAI University, Agartala, India, as a senior lecturer. He has published 4 books,

12 book chapters, and over 28 papers in international journals and conferences. He is an editorial board member of the Journal of Wireless Communication Technology and International Journal of Telecommunication Engineering, among others, and also a member of the International Advisory Board for Mala

ysia Technical Scientist Congress and the Machine Intelligence Research Labs. He has been also editing two books for Springer and CRC Press. He got Outstanding Researcher Award from TESFA (2016), Global Peer Review Award from Publons (2018), and Young Faculty Award from VIFA (2018).

Teaching and Learning in Urban Agricultural Community Contexts

為了解決Isha Life的問題，作者 這樣論述：

Dr. Isha DeCoito is an Associate Professor of STEM Education at Western University in Canada. She possesses extensive experience in developing successful partnerships and collaborations with stakeholders in a variety of educational contexts including medical programs, school gardens, refugee camps,

Aboriginal reservations, science centres, teacher education programs, universities, and school boards. Her research focuses on STEM engagement and STEM career aspirations amongst girls and underrepresented populations, experiential learning, gamification, educational technologies, engineering and me

dical education, professional development, and nature of science conceptions, with a goal of creating equitable and better opportunities for all students.Dr. Amie Patchen is a postdoctoral associate with Cornell University’s Master of Public Health Program. Her work focuses on increasing equitable a

ccess to science learning opportunities in various contexts, increasing access to nature, supporting the development of environmental stewardship attitudes and behaviors, and engaging young people in using science to support social justice in their communities.Dr. Neil Knobloch is a Professor of Agr

icultural Science Education at Purdue University, serves as Chair of PU-CoA PK-12 Council, and has extensive project management. His integrated approach to scholarship of discovery, learning, and engagement has advanced educational innovations in university teaching and PK-12 outreach to engage and

retain more students in the agricultural STEM career pipeline. He has demonstrated campus and national leadership in advancing diversity in agricultural STEM majors by co-directing the Mentoring@Purdue (M@P) Program and building partnerships with nine Historically Black Land-Grant Universities.Dr. L

evon T. Esters is a Professor in the Department Agricultural Sciences Education and Communication at Purdue University. He received a B.S. in Agricultural Business from Florida A&M University, an M.S. in Agricultural Education from North Carolina A&T State University, and a Ph.D. in Agricultural and

Extension Education from Pennsylvania State University. Dr. Esters serves as the Director of the Mentoring@Purdue (M@P) program which is designed to increase the number of women and underrepresented minorities (URMs) receiving advanced post-secondary STEM-based agricultural and life sciences degree

s in Purdue’s College of Agriculture. Dr. Esters is a nationally recognized scholar on mentoring, equity, and diversity within the STEM-based agricultural and life sciences disciplines. His research focuses on issues of educational equity and access of URM students with a concentration on the mentor

ing of Black graduate students; STEM career development of students attending Historically Black Land-Grant Colleges and Universities; and educational and professional mobility of Black graduate students and faculty. Dr. Esters also serves as a Senior Research Associate at The Rutgers Center for Min

ority Serving Institutions.

以機器學習技術探討輕度認知功能障礙惡化為阿茲海默症的生物標記

為了解決Isha Life的問題，作者林閏新 這樣論述：

隨著時代的變遷、醫療技術的進步，人類壽命延長且疾病型態改變，高齡人口快速增加，伴隨年齡增長的失智症近年來逐漸成為各國嚴重公共衛生議題，根據國際阿茲海默症協會 (Alzheimer's Disease International, ADI)於2019年估計，全球有超過5千萬名失智者，其中阿茲海默症是最常見的失智症疾病，約佔失智症病患60%至70%，失智症是一種進行性的慢性疾病，不僅長期對患者本身有身體、心理、社會和經濟層面的影響，而且對他們的照護者、家庭和整個社會而言同樣也是一大難題。阿茲海默症一直是國內外研究探討的熱門話題，臨床上並無可治癒之治療方式，其以藥物減緩為主，但由於缺乏有效率的診斷

方式，無法使病患達到早期診斷早期治療，藥物的治療效果部分無法達到預期，目前臨床上多半採用問卷調查搭配磁振造影 (magnetic resonance imaging, MRI) 大腦影像或是採集腦脊髓液的診斷方式，但是MRI的健保給付條件嚴苛，而採集腦脊髓液的方式則有脊髓穿刺的隱憂，也因此低成本、低侵入性且有效的早期診斷工具就顯得相當重要。本研究目的為透過美國阿茲海默症神經影像倡議 (Alzheimer’s Disease Neuroimaging Initiative, ADNI)所提供基因表現資料庫，開發阿茲海默症預測模型，結合機器學習演算法與特徵篩選演算法篩選重要生物標記，並以此預測一年

、兩年與三年後得到阿茲海默症疾的可能性。該資料將個案分為三種不同類別，分別是健康 (normal aging, NL)、輕度認知功能障礙 (mild cognitive impairment, MCI)、阿茲海默症 (Alzheimer’s disease, AD)的個案採血液樣本進行，基因表現資料採微陣列實驗資料，包含49,386個探針，分別對應到不同的基因之表現量。利用隨機森林、支持向量機器等機器學習方法進行建模，將資料分為訓練、驗證與測試資料集進行嚴謹的模型建構與驗證工作，建立有效阿茲海默症早期診斷預測模型，並使用卡方檢定 (chi-square test)、差異表現基因 (differ

entially expressed genes, DEGs)、包裹法 (wrapper-based method)、交集基因 (intersection genes)等方式進行特徵篩選，以此預測一年、兩年與三年後得到阿茲海默症的可能性，同時加以分析輕度認知功能障礙的族群中，維持輕度認知功能障礙的個案及預測狀態惡化成阿茲海默症的病患在特定基因表現量的差異在經過上述特徵篩選方法及嘗試八種不同的機器學習模型後，本研究的實驗結果找到18個基因機轉組合 (19個基因探針)，搭配隨機森林演算法發現，在輕度認知功能障礙病患族群中，結果為預測兩年內狀態維持輕度認知功能障礙，不會進入阿茲海默症的個案，其能有效

分析預測測試集資料且準確率達到88%，AUC (area under the ROC curve)也能達到71%。此外在預測分數小於或等於0.1分且維持在輕度認知功能障礙症的族群，準確率更能達到100%。為了驗證模型的可用性，將此模型用於預測輕度認知功能障礙一年及三年後狀態改變，AUC分別82%及74%，表示此模型及基因組合在預測輕度認知功能障礙疾病狀態維持上表現不俗。這樣的研究成果也表明，透過低成本的抽血方法採集基因表現量和機器學習模型能對阿茲海默症的前驅狀態-輕度認知功能障礙的患者，在疾病的變化與否上進行預測性評估的可行性價值。