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Encyclopedia of Robotics

為了解決ONE tracking的問題，作者 這樣論述：

Dr. Marcelo H. Ang, Jr., received the B.S. degrees (Cum Laude) in Mechanical Engineering and Industrial Management Engineering from the De La Salle University, Manila, Philippines, in 1981; the M.S. degree in Mechanical Engineering from the University of Hawaii at Manoa, Honolulu, Hawaii, in 1985; a

nd the M.S. and Ph.D. degrees in Electrical Engineering from the University of Rochester, Rochester, New York, in 1986 and 1988, respectively. His work experience include heading the Technical Training Division of Intel’s Assembly and Test Facility in the Philippines, research positions at the East

West Center in Hawaii and at the Massachusetts Institute of Technology, and a faculty position as an Assistant Professor of Electrical Engineering at the University of Rochester, New York. In 1989, Dr. Ang joined the Department of Mechanical Engineering of the National University of Singapore, where

he is currently an Associate Professor. In addition to academic and research activities, he is actively involved in the Singapore Robotic Games as its founding chairman. His research interests span the areas of robotics, mechatronics, automation, computer control and applications of intelligent sys

tems methodologies.Prof. Dr. Oussama Khatibis Professor of Computer Science, Artificial Intelligence Laboratory, Department of Computer Science, Stanford University, California, USA. His research interests are methodologies and technologies of autonomous robots, cooperative robots, human-centered ro

botics, haptic interaction, dynamic simulation, virtual environments, augmented tele operation and human-friendly robot design.Prof. Dr. Bruno Sicilianowas born in Naples, Italy, on October 27, 1959. He received the Laurea degree and the Research Doctorate degree in Electronic Engineering from the U

niversity of Naples in 1982 and 1987, respectively. He is Professor of Control and Robotics and Director of the PRISMA Lab in the Department of Electrical Engineering and Information Technology at University of Naples. His research interests include identification and adaptive control, impedance and

force control, visual tracking and servoing, redundant and cooperative manipulators, lightweight flexible arms, aerial robots, human-centered and service robotics. He has co-authored 11 books, 70 journal papers, 200 conference papers and book chapters; his book Robotics: Modelling, Planning and Contr

ol is one of the most widely adopted textbooks worldwide. He has delivered more than 100 invited lectures and seminars at institutions worldwide. He is a Fellow of IEEE, ASME and IFAC. He is Co-Editor of the Springer Tracts in Advanced Robotics series, and has served on the editorial boards of sever

al journals as well as Chair or Co-Chair for numerous international conferences. He co-edited the Springer Handbook of Robotics, which received the AAP PROSE Award for Excellence in Physical Sciences & Mathematics and was also the winner in the category Engineering & Technology. His group has been g

ranted twelve European projects. He has served the IEEE Robotics and Automation Society as President, as Vice-President for Technical Activities and Vice-President for Publications, as a member of the AdCom and as a Distinguished Lecturer.

ONE tracking進入發燒排行的影片

An Integrated Approach For Uncovering Novel DNA Methylation Biomarkers For Non-small Cell Lung Carcinoma

為了解決ONE tracking的問題，作者VAIBHAV KUMAR SUNKARIA 這樣論述：

Introduction - Lung cancer is one of primal and ubiquitous cause of cancer related fatalities in the world. Leading cause of these fatalities is non-small cell lung cancer (NSCLC) with a proportion of 85%. The major subtypes of NSCLC are Lung Adenocarcinoma (LUAD) and Lung Small Cell Carcinoma (LUS

C). Early-stage surgical detection and removal of tumor offers a favorable prognosis and better survival rates. However, a major portion of 75% subjects have stage III/IV at the time of diagnosis and despite advanced major developments in oncology survival rates remain poor. Carcinogens produce wide

spread DNA methylation changes within cells. These changes are characterized by globally hyper or hypo methylated regions around CpG islands, many of these changes occur early in tumorigenesis and are highly prevalent across a tumor type.Structure - This research work took advantage of publicly avai

lable methylation profiling resources and relevant comorbidities for lung cancer patients extracted from meta-analysis of scientific review and journal available at PubMed and CNKI search which were combined systematically to explore effective DNA methylation markers for NSCLC. We also tried to iden

tify common CpG loci between Caucasian, Black and Asian racial groups for identifying ubiquitous candidate genes thoroughly. Statistical analysis and GO ontology were also conducted to explore associated novel biomarkers. These novel findings could facilitate design of accurate diagnostic panel for

practical clinical relevance.Methodology - DNA methylation profiles were extracted from TCGA for 418 LUAD and 370 LUSC tissue samples from patients compared with 32 and 42 non-malignant ones respectively. Standard pipeline was conducted to discover significant differentially methylated sites as prim

ary biomarkers. Secondary biomarkers were extracted by incorporating genes associated with comorbidities from meta-analysis of research articles. Concordant candidates were utilized for NSCLC relevant biomarker candidates. Gene ontology annotations were used to calculate gene-pair distance matrix fo

r all candidate biomarkers. Clustering algorithms were utilized to categorize candidate genes into different functional groups using the gene distance matrix. There were 35 CpG loci identified by comparing TCGA training cohort with GEO testing cohort from these functional groups, and 4 gene-based pa

nel was devised after finding highly discriminatory diagnostic panel through combinatorial validation of each functional cluster.Results – To evaluate the gene panel for NSCLC, the methylation levels of SCT(Secritin), FOXD3(Forkhead Box D3), TRIM58(Tripartite Motif Containing 58) and TAC1(Tachikinin

1) were tested. Individually each gene showed significant methylation difference between LUAD and LUSC training cohort. Combined 4-gene panel AUC, sensitivity/specificity were evaluated with 0.9596, 90.43%/100% in LUAD; 0.949, 86.95%/98.21% in LUSC TCGA training cohort; 0.94, 85.92%/97.37 in GEO 66

836; 0.91,89.17%/100% in GEO 83842 smokers; 0.948, 91.67%/100% in GEO83842 non-smokers independent testing cohort. Our study validates SCT, FOXD3, TRIM58 and TAC1 based gene panel has great potential in early recognition of NSCLC undetermined lung nodules. The findings can yield universally accurate

and robust markers facilitating early diagnosis and rapid severity examination.

Encyclopedia of Robotics

為了解決ONE tracking的問題，作者 這樣論述：

Dr. Marcelo H. Ang, Jr., received the B.S. degrees (Cum Laude) in Mechanical Engineering and Industrial Management Engineering from the De La Salle University, Manila, Philippines, in 1981; the M.S. degree in Mechanical Engineering from the University of Hawaii at Manoa, Honolulu, Hawaii, in 1985; a

nd the M.S. and Ph.D. degrees in Electrical Engineering from the University of Rochester, Rochester, New York, in 1986 and 1988, respectively. His work experience include heading the Technical Training Division of Intel’s Assembly and Test Facility in the Philippines, research positions at the East

West Center in Hawaii and at the Massachusetts Institute of Technology, and a faculty position as an Assistant Professor of Electrical Engineering at the University of Rochester, New York. In 1989, Dr. Ang joined the Department of Mechanical Engineering of the National University of Singapore, where

he is currently an Associate Professor. In addition to academic and research activities, he is actively involved in the Singapore Robotic Games as its founding chairman. His research interests span the areas of robotics, mechatronics, automation, computer control and applications of intelligent sys

tems methodologies.Prof. Dr. Oussama Khatibis Professor of Computer Science, Artificial Intelligence Laboratory, Department of Computer Science, Stanford University, California, USA. His research interests are methodologies and technologies of autonomous robots, cooperative robots, human-centered ro

botics, haptic interaction, dynamic simulation, virtual environments, augmented tele operation and human-friendly robot design.Prof. Dr. Bruno Sicilianowas born in Naples, Italy, on October 27, 1959. He received the Laurea degree and the Research Doctorate degree in Electronic Engineering from the U

niversity of Naples in 1982 and 1987, respectively. He is Professor of Control and Robotics and Director of the PRISMA Lab in the Department of Electrical Engineering and Information Technology at University of Naples. His research interests include identification and adaptive control, impedance and

force control, visual tracking and servoing, redundant and cooperative manipulators, lightweight flexible arms, aerial robots, human-centered and service robotics. He has co-authored 11 books, 70 journal papers, 200 conference papers and book chapters; his book Robotics: Modelling, Planning and Contr

ol is one of the most widely adopted textbooks worldwide. He has delivered more than 100 invited lectures and seminars at institutions worldwide. He is a Fellow of IEEE, ASME and IFAC. He is Co-Editor of the Springer Tracts in Advanced Robotics series, and has served on the editorial boards of sever

al journals as well as Chair or Co-Chair for numerous international conferences. He co-edited the Springer Handbook of Robotics, which received the AAP PROSE Award for Excellence in Physical Sciences & Mathematics and was also the winner in the category Engineering & Technology. His group has been g

ranted twelve European projects. He has served the IEEE Robotics and Automation Society as President, as Vice-President for Technical Activities and Vice-President for Publications, as a member of the AdCom and as a Distinguished Lecturer.

短期一般沖刷與彎道基腳沖刷預測研究-以清水溪為例

為了解決ONE tracking的問題，作者黃偉勝 這樣論述：

具坡陡流急卵礫石之清水溪河段為濁水溪重要支流之一，於洪水上漲過程發生急劇短期一般沖刷，並促使斜向流於河道堤防基腳沖刷。根據濁水溪水系歷史災損情形，清水溪福興圳護岸為近年河道沖刷潛勢較高河段。為了瞭解堤防基礎沖刷災害與河道水砂條件間之關係，本研究採用 SRH-2D 二維水理輸砂模式執行動床水理演算，並根據四河局 (2017) 埋設之無線沖刷追蹤粒子之沖刷深度監測，以2016~2017年颱洪事件作為模擬條件，並完成檢定與驗證。經由一系列模擬結果，影響河道沖刷之因素包括:有效洪水稽延(tp)、來流含砂濃度(SSC-Q)、地形高程之改變。此外，河道短期一般沖刷(dgs)與彎道基腳沖刷深度(dbs)

，係根據既有現場觀測資料與模擬成果，並納入有效洪水稽延(tp)與河道幾何因子(B/R)-水面寬與曲率半徑之比值，經與國內外相關研究做比較，初步顯示本研究推導經驗式適用於本土化之河川。