Undergoing project的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列線上看、影評和彩蛋懶人包

Livestock Ration Formulation for Dairy Cattle and Buffalo

為了解決Undergoing project的問題，作者Singh Kuntal, Ravinder,Gupta, Radha,Rajendran, D. 這樣論述：

Dr Ravinder Singh Kuntal is an expertise in optimizing and creating user friendly application in Microsoft Excel & android platform for least cost ration formulation for dairy animals. His research interests include operations research, Data analytics, Mathematical modelling and statistical analysis

. He has work on these models after 8 years of experience in least cost optimization research. He is currently working as Assistant Professor of Mathematics in Faculty of Engineering & Technology, Jain (Deemed-to-be University) Bangalore. He has a total of 11 years of teaching and 8 years of researc

h experience. He has published 14 research paper in peer reviewed journals. He received many awards for his research work and has bagged the title of Best Paper Award for Least Cost Formulation for Ruminants in the International Conference on Applications of Artificial Intelligence and Computational

Mathematics (AAICM - 2020), One of his publication also received an acknowledgement of Best Paper Award on Study of Real Coded Hybrid Genetic Algorithm (RGA) to find least cost ration for non-pregnant dairy buffaloes at 7th International conference on Soft Computing for Problem Solving (SocPros-201

7) Dec 23-24 -2017 at IIT Bhubaneswar, Best paper award titled heuristic approach to nonlinear optimization technique at Research Retreat: Exploring pathways, unlocking ideas at Jain University. He is considered as the Best Mathematics Professor of the year in recognition of Continuous excellence in

teaching Awarded at International Education Awards conference 2020. He has a research collaboration with NIANP (National Institute of Animal Nutrition and Physiology) Bangalore, India. He also completed consultancy projects for ICAR-NIANP institutions and Design and Development Least Cost Feed Form

ulation (LCFF) Application for Goat, Sheep & Camel Using Excel VBA, for KING SAUD UNIVERSITY, Riyadh Saudi Arabia.Dr. Radha Gupta was born in Roorkee, Uttarakhand, in 1970. She received her M.Sc. degree in Mathematics from Agra University, Uttar Pradesh, India in 1992 and M.Phil. degree in Mathemati

cs from University of Roorkee, Uttarakhand, India, in 1993. She acquired her Ph.D. degree in Mathematics from Vikram University, Ujjain, Madhya Pradesh, India, in 2011. From 1993 to 1996, she worked as a Research Fellow with Central Building Research Institute, Roorkee, Uttarakhand. From 1999 to 200

4, she was a Lecturer in SVM PU College Bangalore; from 2004 to 2007 she was a lecturer in PES Institute of Technology, Bangalore. She moved to School of Engineering and Technology, Jain University, Bangalore, in 2007 and served the Institution as Associate Professor and Head, Department of Basic Sc

ience, till 2015. Since 2015, she has been a Professor and Head with the Mathematics department, Dayananda Sagar College of Engineering, Bangalore. Her research interests include operations research, differential equations, Mathematical modelling and statistical analysis. She is the author of five b

ooks, some conference papers and more than 50 research publications in reputed National and International journals. She is also a reviewer for some of the prestigious journals. She is a recognized Research Supervisor from VTU, Belagavi and member of many professional bodies. Dr. Radha Gupta was a re

cipient of President Gold Medal (from then President of India, Shri Shankar Dayal Sharma) for the best student of the year 1992, Agra University, Uttar Pradesh, and also a recipient of University Gold Medal for standing first class first in M.Phil. (Mathematics) in the year 1993, University of Roork

ee, Uttarakhand.Professor D. Rajendran, Principal Scientist, ICAR-National Institute of Animal Nutrition and Physiology did his Bachelor of Veterinary Science at Tamilnadu Veterinary and Animal Sciences University, Chennai in 1997 and did his Master degree in Animal Nutrition at Indian Veterinary Re

search Institute, Bareilly. He was a recipient of Junior Research Fellowship Award during his master degree. He joined as Lecturer at West Bengal University of Animal and Fishery Science in 2000. He pursued his Doctoral degree programme at Madras Veterinary College, Chennai. He received three Gold M

edal in Ph.D. namely TANUVAS Gold Medal, Dr. Richard Masilamani Memorial Award and TANUVAS Alumini Award. He joined as Assistant Professor in Animal Nutrition at Veterinary College and Research Institute, Namakkal, Taminadu and established Feed Mill under revolving fund project. He conducted researc

h on nano mineral and guided two undergraduate students to receive ALLTECH Young Scientist Award 2010 and 2011. He joined as senior scientist in 2010 at ICAR-National Institute of Animal Nutrition and Physiology, Bangalore. His pioneering work on nano technology in Animal Nutrition for improvement o

f bioavailability of mineral is eye opener for application of nano mineral science in animal nutrition. The work was recognized and received best thesis award by Animal Nutrition Journal by Elsevier Pvt. Ltd. He has 185 publications including 51 research articles, 12 book chapters, 37 technical arti

cles and 20 teaching manuals. He received 7 awards in conference and seminars of national and international repute. He was invited for a guest lecture by CG Group at Boun Me Thout, DakLak, Vietnam. He successfully guided 12 master degree and 5 doctoral degree students in the capacity of chairman/mem

ber of the advisory committee. He developed 4 software’s and 2 Android Apps and published for public use. He published 5 ready reckoners and one diagnostic kit. More than 25000 copies of the ready reckoner were sold and created revolution in the field of Animal Nutrition. He has completed successful

ly 11 externally /Institute funded research projects and currently 5 projects are undergoing. International Society of Biotechnology conferred on the Fellow of International Society of Biotechnology (FISBT) in recognition of his contribution and achievements.Dr Vishal Patil is an expertise in develo

ping and designing least cost LP & stochastic models and creating user friendly application in Microsoft Excel & android platform. He has built these models after 10 years of experience in teaching and research. He has completed consultancy projects for ICAR-NIANP institutions and Design and Develop

ment Least Cost Feed Formulation (LCFF) Application for Goat, Sheep & Camel Using Excel VBA, for KING SAUD UNIVERSITY, Riyadh Saudi Arabia. He has published 10 peer-reviewed international papers. He is working as Assistant Professor of Mathematics in Faculty of Engineering & Technology, Jain (Deemed

-to-be University) Bangalore. His major contribution includes research collaboration with NIANP (National Institute of Animal Nutrition and Physiology) Bangalore, India.

Undergoing project進入發燒排行的影片

運用房水蛋白質體學於白內障及黃斑病變之眼睛疾病探討

為了解決Undergoing project的問題，作者章瑋真 這樣論述：

白內障與原發性黃斑皺褶是很常見導致視力受損的共病疾病，在臨床上很常遇見病患白內障術後視力仍未改善的原因是因為有黃斑皺褶的影響，探討此二種疾病的房水蛋白質組成，有助於了解分別的病理致病機轉，藉此可能可以提供臨床上白內障疾病及原發性黃斑皺褶的預測及追蹤治療。原發性黃斑皺褶是位於黃斑部玻璃體與視網膜交界處的病理性纖維細胞病變，目前其可能的致病機制仍不清楚，藉由眼內房水蛋白質組成的變化，可能可以瞭解原發性黃斑部皺褶相關的分子變化；而白內障則是另一種常見的可致失明的眼部疾病，在蛋白質組成中發現可能導致白內障的疾病關鍵因子，將有助於更進一步了解白內障形成過程中的分子機轉。我們的目標是希望透過分析房水中蛋

白質體分析去發現原發性黃斑皺褶的病理生理機轉，並從不同白內障風險因子暴露的組別中，蛋白質體的分析去找尋導致白內障的潛在的分子機轉。首先，為了研究原發性黃斑皺褶和對照組的眼房水蛋白質組成，我們收集了來自10名原發性黃斑皺褶患者和 10名年齡匹配的對照組的樣本。然後，為了比較具有不同白內障致病危險因子（如糖尿病和吸煙）的白內障患者和無風險暴露的白內障對照組患者的房水蛋白表現有無差異，我們使用了無標記超高效液相色譜串聯質譜分析法，共收案了有8名糖尿病和吸煙患者（具有雙重風險因素）、5名糖尿病患者和 5 名吸煙患者（均具有單一風險因素）和10名年齡匹配的白內障對照患者（非風險暴露）入組。在原發性黃斑皺

褶和對照組之間，有 8 種蛋白質有差異表達。其中六種蛋白質被發現增加表現，兩種減少表現。基因本體論(Gene Ontology)分析表現出原發性黃斑皺褶與免疫功能有相互作用、與細胞增生和細胞外基質重塑等多個生物學過程密切相關。此外，多種蛋白質，包括Lumican蛋白、細胞週期蛋白依賴性激酶 13(cyclin-dependent kinase 13) 和膠原蛋白 alpha-3(VI)鍊(collagen alpha-3(VI) chain)皆與中央視網膜厚度相關，表示這些蛋白可能參與原發性黃斑皺褶的致病過程。眼房水中的Lumican表現亮在二組間有顯著差異也藉由酶聯免疫吸附試驗 (ELISA

) 得到證實。在探討白內障風險因子影響的研究中，共找到了136種房水蛋白，其中只有alpha-2-HS- glycoprotein被認為與不同風險暴露下的三組有顯著相關，因為它在這三組中存在差異表達，並且隨著風險的增加而表現量增加，我們也使用了ELISA確認糖尿病和對照樣品之間以及吸煙和對照組之間的房水alpha-2-HS- glycoprotein蛋白有顯著的變化。Lumican可能可以成為預測原發性黃斑皺褶產生和監測其進展的潛在房水生物標記物，而Alpha-2-HS- glycoprotein，亦稱為fetuin-a，可能是與糖尿病和吸煙這些白內障的致病風險因子相關的房水生物標記物。蛋白質

組學是研究人類房水組成很有用的工具，它為原發性黃斑皺褶和白內障疾病提供了許多有意義的線索可供進一步研究及探討。

Information Centric Networks (Icn): Architecture & Current Trends

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為了解決Undergoing project的問題，作者Dutta, Nitul,Sarma, Hiren Kumar Deva,Jadeja, Rajendrasinh 這樣論述：

​Nitul Dutta is currently working as a Professor in the Computer Engineering department at Marwadi Unniversity, Rajkot, Gujarat. He received his B.E. degree in Computer Science and Engineering from Jorhat Engineering College, Assam (1995) and M. Tech. degree in Information Technology from Tezpur Uni

versity Assam (2002). He completed his Ph.D. (Engineering) degree in the field of Computer Networking from Jadavpur University, West Bengal (2013). He also worked as a Post-Doctoral Fellow (PDF) at Jan Wyzykowski University, Polkowice, Poland, during the period 2017-2018. His current research intere

sts are computer networks, mobility management in IPv6 based networks, cognitive radio and information centric networks. He has published four books in Springer book series and several journal papers in the area of computer networking. He is a senior member of IEEE and vice-chair of IEEE CIS Gujarat

section.Hiren Kumar Deva Sarma is currently Professor in the Department of Information Technology, Sikkim Manipal Institute of Technology, Sikkim. He received B.E. degree in Mechanical Engineering from Assam Engineering College in 1998. He completed Master of Technology in Information Technology fr

om Tezpur University in 2000. He received Ph.D. degree from Jadavpur University (Department of Computer Science and Engineering) in 2013. He is a recipient of Young Scientist Award from the International Union of Radio Science (URSI) awarded in the XVIII General Assembly 2005, held at New Delhi, Ind

ia. Dr. Sarma received IEEE Early Adopter Award in the year 2014. He has published more than seventy research papers in different International Journals, referred International and National Conferences of repute. His current research interests are wireless sensor networks, mobility management in IPv

6 based network, cognitive radio networks, ICN, network security, robotics, distributed computing and big data analytics. Rajendrasinh Jadeja is working as a Dean at the Faculty of Engineering, Marwadi University - Gujarat, India. He is undergoing Post-Doctoral Fellow (PDF) at Jan Wyzykowski Univers

ity, Polkowice, Poland. He completed his B.E. in Electrical Engineering from L. D. College of Engineering (Gujarat University) in 1998, M.Tech in Electrical Engineering from Nirma University and a PhD from the M S University, Baroda. He has been awarded the title ＂ING.PAED.IGIP＂ in 2020 and also a S

enior Member of IEEE. He is working as a Treasurer of IEEE India Council and also worked as a Chair of IEEE Gujarat Section during the Year 2017-2018.The areas of Research and Interest include control of power electronic converters, AC drives, Pulse Width Modulated power electronic converters and Po

wer Quality Issues and its mitigation techniques. Various projects have been undertaken and have completed a project funded by GUJCOST (Gujarat Council on Science & Technology) and he is working on a project making ＂Deep Learning and AI skills＂ mainstream in India to fulfil trilateral needs of entre

preneurship, Industry-academia partnership and application-inspired Engineering Research. He actively participates and initiates ERASMUS+ for staff mobility and has also completed such a program for teaching between partner countries. Krishna Delvadia, currently working as an Assistant Professor in

Information Technology department of Chhotubhai Gopalbhai Patel Institute of Technology, Uka Tarsadia University, Bardoli, Gujarat, India. She completed her B.E degree in Information Technology from Marwadi Education Foundation Group of Institutions, Gujarat, India. She received her M.E degree in co

mputer engineering from Marwadi Education Foundation Group of Institutions, Gujarat, India and She is currently pursuing a PhD in the field of Information Centric Networks from Marwadi University, Gujarat, India. Her current area of research includes Mobile Adhoc networks, Wireless Networks, Interne

t of Things and Distributed Computing and Information centric Networks. Gheorghita Ghinea is a Professor in the Computer Science Department at Brunel University, United Kingdom. He received the B.Sc. and B.Sc. (Hons) degrees in Computer Science and Mathematics, in 1993 and 1994, respectively, and th

e M.Sc. degree in Computer Science, in 1996, from the University of the Witwatersrand, Johannesburg, South Africa; he then received the Ph.D. degree in Computer Science from the University of Reading, United Kingdom, in 2000. His work focuses on building adaptable cross-layer end-to-end communicatio

n systems incorporating user perceptual requirements. His work has been funded by both national and international funding bodies - all of it being collaborative work with other teams and stakeholders he has been privileged to be involved with. He has been honoured to supervise 24 PhD students to com

pletion and to have published over 300 high-quality research articles with them and other research collaborators. He is a member of the IEEE and the British Computer Society.

程序性死亡配體1表現於上尿路泌尿上皮癌的角色

為了解決Undergoing project的問題，作者陳建旭 這樣論述：

背景與研究重點：與西方國家相比，台灣上尿路泌尿上皮癌的發病率相對較高。根治性腎臟及輸尿管全切除術具有治癒器官局限性腫瘤疾病的潛力。然而，局部晚期或轉移性上尿路泌尿上皮癌的預後較差，需要用化學療法或免疫療法進行進一步的輔助或姑息治療以延長生存期。為了及早發現這些高風險的病人，尋找理想、可靠的生物標誌物對上尿路泌尿上皮癌進行預後評估或甚至治療效果評估具有重要意義。程序性死亡配體1 (programmed death-ligand 1, PD-L1) 對膀胱癌的影響已得到充分研究；然而，PD-L1在上尿路泌尿上皮癌中的角色仍不清楚。我們的研究由兩部分組成，第一部分是研究PD-L1對上尿路泌尿上皮癌

臨床結果和預後的影響。在第二部分中，我們嘗試結合其他生物標誌物（Ki-67）來評估在預測上尿路泌尿上皮癌預後中是否存在協同效應。方法：回顧性收集2013年至2018年在高雄長庚紀念醫院確診的上尿路泌尿上皮癌患者。我們僅納入接受根治性腎臟及輸尿管全切除術的患者，排除曾接受過手術前全身治療、診斷時已有轉移或有肌肉浸潤性膀胱癌病史的患者。我們使用Dako 22C3 pharmDx檢驗對全組織切片進行PD-L1免疫組織化學染色，並使用聯合陽性分數 (combined positive score, CPS)來計算PD-L1在腫瘤細胞及免疫細胞中的表現。PD-L1聯合陽性分數小於10定義為陰性表現。在第

二部分中，我們在同一研究族群中使用抗Ki-67抗體進行了Ki-67染色。 Ki-67指數≥20%被定義為過度表現。結果：第一部分共有105名患者符合研究條件而納入分析。在17.1%的上尿路泌尿上皮癌患者中發現PD-L1表現陽性(即CPS ≥ 10)。PD-L1聯合陽性分數≥ 10多見於術前腫瘤分期較高或診斷時已有淋巴結轉移的患者。在多變量分析中，PD-L1聯合陽性分數≥ 10和較高腫瘤期別獨立預測較差的癌症特異性存活期和總存活期。在第二部分中，由於有3名患者缺乏Ki-67染色，因此僅納入102名患者進行分析。在48%的上尿路泌尿上皮癌患者中觀察到Ki-67 ≥ 20%，Ki-67過度表現也與較

高腫瘤期別和不良的病理學特徵相關。在多變量分析中，將單獨的PD-L1、單獨的Ki-67以及PD-L1加上Ki-67的組合納入預測上尿路泌尿上皮癌預後因子的分析中。然而，PD-L1聯合陽性分數 ≥ 10和Ki-67 ≥ 20%的組合無法顯示出比單獨使用PD-L1有更好的癌症特異性存活期預測能力。結論：上尿路泌尿上皮癌患者PD-L1聯合陽性分數≥ 10 或 Ki-67 ≥ 20% 與較差的病理特徵相關。然而，只有PD-L1聯合陽性分數≥ 10是上尿路泌尿上皮癌預後的強預測因子。