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The evolutionary history of 2,658 cancers (vol 578, pg 122, 2020)

NATURE 2023年第7948期614卷 E42-E42页

作者： Gerstung, Moritz Jolly, Clemency Leshchiner, Ignaty Dentro, Stefan C. Gonzalez, Santiago Rosebrock, Daniel Mitchell, Thomas J. Rubanova, Yulia Anur, Pavana Yu, Kaixian Tarabichi, Maxime Deshwar, Amit Wintersinger, Jeff Kleinheinz, Kortine Vazquez-Garcia, Ignacio Haase, Kerstin Jerman, Lara Sengupta, Subhajit Macintyre, Geoff Malikic, Salem Donmez, Nilgun Livitz, Dimitri G. Cmero, Marek Demeulemeester, Jonas Schumacher, Steven Fan, Yu Yao, Xiaotong Lee, Juhee Schlesner, Matthias Boutros, Paul C. Bowtell, David D. Zhu, Hongtu Getz, Gad Imielinski, Marcin Beroukhim, Rameen Sahinalp, S. Cenk Ji, Yuan Peifer, Martin Markowetz, Florian Mustonen, Ville Yuan, Ke Wang, Wenyi Morris, Quaid D. Spellman, Paul T. Wedge, David C. Van Loo, Peter European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Wellcome Sanger Institute Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany University of Ljubljana Ljubljana Slovenia The Francis Crick Institute London UK Big Data Institute University of Oxford Oxford UK Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Big Data Institute Li Ka Shing Centre University of Oxford Oxford UK University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Department of Applied Mathematics and Theoretical Physics Centre for Mathematical Sciences University of Cambridge Cambridge UK Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA Department of Statistics Columbia University New York NY USA Department of Haematology University of Cambridge Cambridge UK University of Leuven Leuven Belgium Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Charlestown MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Dana-Farber Cancer Institute Boston MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Oxford NIHR Biomedical Research Centre Oxford UK Oxford NIHR Biomedical Research Centre University of Oxford Oxford UK University of Toronto Toronto Ontario Canada Vector Institute Toronto Ontario Canada Vector Institute Toronto ON Canada Department of Computer Science University of Toronto Toronto ON Canada Ontario Institute for Cancer Research Toronto Ontario Canada University of California Los Angeles

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A solid-state fault current limiting and interrupting device (FCLID) with power factor correction

A solid-state fault current limiting and interrupting device...

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International Universities Power engineering Conference (UPEC)

作者： F. Paterakis C. C. Marouchos G. A. Putrus M. Darwish Christos Makarounas Department of Electrical and Electronic Engineering Athens University of Applied Sciences Athens Greece Department of Elec. Eng Cyprus University of Technology Limassol Cyprus Department of Mathematics Physics and Electrical Engineering Northumbria University Newcastle U.K Electronics & Computer Engineering Brunel University London UK

ISBN: (纸本)9781538629116

A Solid-State Fault Current Limiter and interrupting device (FCLID) with power factor correction suitable for low-voltage distribution networks employing the Switched Capacitor (SC) Circuit is presented. Some design parameters are investigated and some optimisation is applied. In this application the Switched Capacitor (SC) is inserted in series with the supply line via an isolating transformer, providing both power factor correction and limitation of the current to a pre-set value in the event of a fault. Interruption of the fault is also possible by setting both semiconductor switches in the off state. The voltage across the load is increased. Optimisation is applied to correct the power factor to an acceptable value of 0.85 and keep the load voltage within acceptable limits. Losses are estimated and rating of components is discussed.

关键词： Capacitors Reactive power Circuit faults Limiting Switches Impedance Switched capacitor circuits

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A computational approach to measure the linguistic characteristics of psychotherapy timing, responsiveness, and consistency

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Npj mental health research 2022年第1期1卷 19页

作者： Adam S Miner Scott L Fleming Albert Haque Jason A Fries Tim Althoff Denise E Wilfley W Stewart Agras Arnold Milstein Jeff Hancock Steven M Asch Shannon Wiltsey Stirman Bruce A Arnow Nigam H Shah Department of Psychiatry and Behavioral Sciences Stanford University Stanford CA USA. aminer@stanford.edu. Center for Biomedical Informatics Research Stanford University Stanford CA USA. aminer@stanford.edu. Department of Biomedical Data Science Stanford University Stanford CA USA. Department of Computer Science Stanford University Stanford CA USA. Center for Biomedical Informatics Research Stanford University Stanford CA USA. Allen School of Computer Science & Engineering University of Washington Seattle WA USA. Departments of Psychiatry Medicine Pediatrics and Psychological & Brain Sciences Washington University in St. Louis St. Louis MO USA. Department of Psychiatry and Behavioral Sciences Stanford University Stanford CA USA. Clinical Excellence Research Center Stanford University Stanford CA USA. Department of Communication Stanford University Stanford CA USA. VA Palo Alto Health Care System Palo Alto CA USA. Division of Primary Care and Population Health Stanford University School of Medicine Stanford CA USA. National Center for Posttraumatic Stress Disorders Dissemination and Training Division VA Palo Alto Healthcare System Menlo Park CA USA. Technology and Digital Solutions Stanford Healthcare Stanford CA USA.

Although individual psychotherapy is generally effective for a range of mental health conditions, little is known about the moment-to-moment language use of effective therapists. Increased access to computational power, coupled with a rise in computer-mediated communication (telehealth), makes feasible the large-scale analyses of language use during psychotherapy. Transparent methodological approaches are lacking, however. Here we present novel methods to increase the efficiency of efforts to examine language use in psychotherapy. We evaluate three important aspects of therapist language use - timing, responsiveness, and consistency - across five clinically relevant language domains: pronouns, time orientation, emotional polarity, therapist tactics, and paralinguistic style. We find therapist language is dynamic within sessions, responds to patient language, and relates to patient symptom diagnosis but not symptom severity. Our results demonstrate that analyzing therapist language at scale is feasible and may help answer longstanding questions about specific behaviors of effective therapists.

关键词： Translational research Human behaviour

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Inclusive nonresonant multilepton probes of new phenomena at s=13 TeV

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Physical Review D 2022年第11期105卷 112007-112007页

作者： A. Tumasyan W. Adam J. W. Andrejkovic T. Bergauer S. Chatterjee K. Damanakis M. Dragicevic A. Escalante Del Valle R. Frühwirth M. Jeitler N. Krammer L. Lechner D. Liko I. Mikulec P. Paulitsch F. M. Pitters J. Schieck R. Schöfbeck D. Schwarz S. Templ W. Waltenberger C.-E. Wulz V. Chekhovsky A. Litomin V. Makarenko M. R. Darwish E. A. De Wolf T. Janssen T. Kello A. Lelek H. Rejeb Sfar P. Van Mechelen S. Van Putte N. Van Remortel F. Blekman E. S. Bols J. D’Hondt M. Delcourt H. El Faham S. Lowette S. Moortgat A. Morton D. Müller A. R. Sahasransu S. Tavernier W. Van Doninck D. Vannerom D. Beghin B. Bilin B. Clerbaux G. De Lentdecker L. Favart A. K. Kalsi K. Lee M. Mahdavikhorrami I. Makarenko L. Moureaux S. Paredes L. Pétré A. Popov N. Postiau E. Starling L. Thomas M. Vanden Bemden C. Vander Velde P. Vanlaer T. Cornelis D. Dobur J. Knolle L. Lambrecht G. Mestdach M. Niedziela C. Rendón C. Roskas A. Samalan K. Skovpen M. Tytgat B. Vermassen L. Wezenbeek A. Benecke A. Bethani G. Bruno F. Bury C. Caputo P. David C. Delaere I. S. Donertas A. Giammanco K. Jaffel Sa. Jain V. Lemaitre K. Mondal J. Prisciandaro A. Taliercio M. Teklishyn T. T. Tran P. Vischia S. Wertz G. A. Alves C. Hensel A. Moraes P. Rebello Teles W. L. Aldá Júnior M. Alves Gallo Pereira M. Barroso Ferreira Filho H. Brandao Malbouisson W. Carvalho J. Chinellato E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao V. Dos Santos Sousa S. Fonseca De Souza C. Mora Herrera K. Mota Amarilo L. Mundim H. Nogima A. Santoro S. M. Silva Do Amaral A. Sznajder M. Thiel F. Torres Da Silva De Araujo A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores D. S. Lemos P. G. Mercadante S. F. Novaes Sandra S. Padula A. Aleksandrov G. Antchev R. Hadjiiska P. Iaydjiev M. Misheva M. Rodozov M. Shopova G. Sultanov A. Dimitrov T. Ivanov L. Litov B. Pavlov P. Petkov A. Petrov T. Cheng T. Javaid M. Mittal L. Yuan M. Ahmad G. Bauer C. Dozen Z. Hu J. Martins Y. Wang K. Yi E. Chapon G. M. Chen H. S. Chen M. Chen F. Iemmi A. Kapoor D. Leggat H. Liao Z.-A Yerevan Physics Institute Yerevan Armenia. Institut für Hochenergiephysik Vienna Austria. Institute for Nuclear Problems Minsk Belarus. Universiteit Antwerpen Antwerpen Belgium. Vrije Universiteit Brussel Brussel Belgium. Université Libre de Bruxelles Bruxelles Belgium. Korea University Seoul Korea. Ghent University Ghent Belgium. Université Catholique de Louvain Louvain-la-Neuve Belgium. Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil. Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil. Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil. Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria. University of Sofia Sofia Bulgaria. Beihang University Beijing China. Department of Physics Tsinghua University Beijing China. Institute of High Energy Physics Beijing China. Massachusetts Institute of Technology Cambridge Massachusetts USA. State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China. Sun Yat-Sen University Guangzhou China. Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE)—Fudan University Shanghai China. Rice University Houston Texas USA. Zhejiang University Hangzhou China Zhejiang China. Universidad de Los Andes Bogota Colombia. Universidad de Antioquia Medellin Colombia. University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia. University of Split Faculty of Science Split Croatia. Institute Rudjer Boskovic Zagreb Croatia. University of Cyprus Nicosia Cyprus. Charles University Prague Czech Republic. Escuela Politecnica Nacional Quito Ecuador. Universidad San Francisco de Quito Quito Ecuador. Academy of Scientific Research and Technology of the Arab Republic of Egypt. Egyptian Network of High Energy Physics Cairo Egypt. Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt. National Insti

An inclusive search for nonresonant signatures of beyond the standard model (SM) phenomena in events with three or more charged leptons, including hadronically decaying τ leptons, is presented. The analysis is based on a data sample corresponding to an integrated luminosity of 138 fb−1 of proton-proton collisions at s=13 TeV, collected by the CMS experiment at the LHC in 2016–2018. Events are categorized based on the lepton and b-tagged jet multiplicities and various kinematic variables. Three scenarios of physics beyond the SM are probed, and signal-specific boosted decision trees are used for enhancing sensitivity. No significant deviations from the background expectations are observed. Lower limits are set at 95% confidence level on the mass of type-III seesaw heavy fermions in the range 845–1065 GeV for various decay branching fraction combinations to SM leptons. Doublet and singlet vectorlike τ lepton extensions of the SM are excluded for masses below 1045 GeV and in the mass range 125–150 GeV, respectively. Scalar leptoquarks decaying exclusively to a top quark and a lepton are excluded below 1.12–1.42 TeV, depending on the lepton flavor. For the type-III seesaw as well as the vectorlike doublet model, these constraints are the most stringent to date. For the vectorlike singlet model, these are the first constraints from the LHC experiments. Detailed results are also presented to facilitate alternative theoretical interpretations.

关键词： Hypothetical fermions Leptoquarks Tau leptons Hadron colliders

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Learners' Self Checking and Its Effectiveness in Conceptual Data Modeling Exercises

Learners' Self Checking and Its Effectiveness in Conceptual ...

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作者： Tanaka, Takafumi Hashiura, Hiroaki Hazeyama, Atsuo Komiya, Seiichi Hirai, Yuki Kaneko, Keiichi Graduate School of Engineering Tokyo University of Agriculture and Technology Koganei-shi184-8588 Japan Department of Computer and Information Engineering Nippon Institute of Technology Saitama-ken345-8501 Japan Department of Information Science Tokyo Gakugei University Koganei-shi184-8501 Japan GRACE Center National Institute of Informatics Tokyo101-8403 Japan Admissions Center Shinshu University Matsumoto-shi390-8621 Japan

Conceptual data modeling is an important activity in database design. However, it is difficult for novice learners to master its skills. In the conceptual data modeling, learners are required to detect and correct errors of their artifacts by themselves because modeling tools do not assist these activities. We call such activities self checking, which is also an important process. However, the previous research did not focus on it and/or the data collection of self checks. The data collection of self checks is difficult because self checking is an internal activity and self checks are not usually expressed. Therefore, we developed a method to help learners express their self checks by reflecting on their artifact making processes. In addition, we developed a system, KIfU 3.0, which implements this method. We conducted an evaluation experiment and showed the effectiveness of the method. From the experimental results, we found out that (1) the novice learners conduct self checks during their conceptual data modeling tasks;(2) it is difficult for them to detect errors in their artifacts;(3) they cannot necessarily correct the errors even if they could identify them;and (4) there is no relationship between the numbers of self checks by the learners and the quality of their artifacts. © Copyright 2018 The Institute of Electronics Information and Communication Engineers.

关键词： Errors

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2019年 707卷 vii页

作者： Sa, Pankaj Kumar Bakshi, Sambit Hatzilygeroudis, Ioannis K. Sahoo, Manmath Narayan Department of Computer Science and Engineering National Institute of Technology Rourkela RourkelaOdisha India Department of Computer Engineering and Informatics University of Patras Patras Greece

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Comparative cellular analysis of motor cortex in human, marmoset and mouse (vol 598, pg 111, 2021)

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NATURE 2022年第7904期604卷 E8-E8页

作者： Bakken, Trygve E. Jorstad, Nikolas L. Hu, Qiwen Lake, Blue B. Tian, Wei Kalmbach, Brian E. Crow, Megan Hodge, Rebecca D. Krienen, Fenna M. Sorensen, Staci A. Eggermont, Jeroen Yao, Zizhen Aevermann, Brian D. Aldridge, Andrew I. Bartlett, Anna Bertagnolli, Darren Casper, Tamara Castanon, Rosa G. Crichton, Kirsten Daigle, Tanya L. Dalley, Rachel Dee, Nick Dembrow, Nikolai Diep, Dinh Ding, Song-Lin Dong, Weixiu Fang, Rongxin Fischer, Stephan Goldman, Melissa Goldy, Jeff Graybuck, Lucas T. Herb, Brian R. Hou, Xiaomeng Kancherla, Jayaram Kroll, Matthew Lathia, Kanan van Lew, Baldur Li, Yang Eric Liu, Christine S. Liu, Hanqing Lucero, Jacinta D. Mahurkar, Anup McMillen, Delissa Miller, Jeremy A. Moussa, Marmar Nery, Joseph R. Nicovich, Philip R. Niu, Sheng-Yong Orvis, Joshua Osteen, Julia K. Owen, Scott Palmer, Carter R. Pham, Thanh Plongthongkum, Nongluk Poirion, Olivier Reed, Nora M. Rimorin, Christine Rivkin, Angeline Romanow, William J. Sedeno-Cortes, Adriana E. Siletti, Kimberly Somasundaram, Saroja Sulc, Josef Tieu, Michael Torkelson, Amy Tung, Herman Wang, Xinxin Xie, Fangming Yanny, Anna Marie Zhang, Renee Ament, Seth A. Behrens, M. Margarita Bravo, Hector Corrada Chun, Jerold Dobin, Alexander Gillis, Jesse Hertzano, Ronna Hof, Patrick R. Hollt, Thomas Horwitz, Gregory D. Keene, C. Dirk Kharchenko, Peter V. Ko, Andrew L. Lelieveldt, Boudewijn P. Luo, Chongyuan Mukamel, Eran A. Pinto-Duarte, Antonio Preiss, Sebastian Regev, Aviv Ren, Bing Scheuermann, Richard H. Smith, Kimberly Spain, William J. White, Owen R. Koch, Christof Hawrylycz, Michael Tasic, Bosiljka Macosko, Evan Z. McCarroll, Steven A. Ting, Jonathan T. Zeng, Hongkui Zhang, Kun Feng, Guoping Ecker, Joseph R. Linnarsson, Sten Lein, Ed S. Allen Institute for Brain Science Seattle WA USA Department of Physiology and Biophysics University of Washington Seattle WA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Bioengineering University of California San Diego La Jolla CA USA The Salk Institute for Biological Studies La Jolla CA USA Epilepsy Center of Excellence Department of Veterans Affairs Medical Center Seattle WA USA Stanley Institute for Cognitive Genomics Cold Spring Harbor Laboratory Cold Spring Harbor NY USA Department of Genetics Harvard Medical School Boston MA USA Broad Institute of MIT and Harvard Cambridge MA USA LKEB Department of Radiology Leiden University Medical Center Leiden The Netherlands Pattern Recognition and Bioinformatics group Delft University of Technology Delft The Netherlands J. Craig Venter Institute La Jolla CA USA Department of Pathology University of California San Diego CA USA Division of Vaccine Discovery La Jolla Institute for Immunology La Jolla CA USA Genomic Analysis Laboratory The Salk Institute for Biological Studies La Jolla CA USA Computer Science and Engineering Program University of California San Diego La Jolla CA USA Howard Hughes Medical Institute The Salk Institute for Biological Studies La Jolla CA USA Bioinformatics and Systems Biology Graduate Program University of California San Diego La Jolla CA USA Institute for Genomes Sciences University of Maryland School of Medicine Baltimore MD USA Center for Epigenomics Department of Cellular and Molecular Medicine University of California San Diego La Jolla CA USA Ludwig Institute for Cancer Research La Jolla CA USA Department of Computer Science University of Maryland College Park College Park MD USA Sanford Burnham Prebys Medical Discovery Institute La Jolla CA USA Biomedical Sciences Program School of Medicine University of California San Diego La Jolla CA USA University of Connecticut Storrs CT USA Department

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Performance analysis of heterogeneous database management system (DBMS) synchronization using message digest 5

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AIP Conference Proceedings 2020年第1期2291卷

作者： Ayu Helinda Zuhar Musliyana Desita Ria Yusian TB Mahendar Dwipayana Julinawati Suanda Atikah Nor Johari 1Department of Engineering Informatics Faculty of Computer Science Ubudiyah Indonesia University Acheh Indonesia 2Department of Information System Faculty of Computer Science Ubudiyah Indonesia University Acheh Indonesia 3Center of Excellence Geopolymer & Green technology (CEGeoGTech) Universiti Malaysia Perlis Perlis Malaysia

Currently, the Database Management System (DBMS) keeps growing and is available on various platforms. The use of various types of DBMS in a system can cause problems with limitations in the synchronization process because each DBMS only provides synchronization methods for similar DMBS. Previous research has examined heterogeneous database synchronization algorithms on mobile devices using the Message Digest 5 (MD5) method. The process of synchronization with this method is done by comparing the hash values of each record data in the source table with the data hash values in the destination table. If a different hash value is obtained, the synchronization process is based on the type of transaction that has been determined. Based on the principle of work, this algorithm requires a long synchronization time for large-scale databases because it has to check the hash values of each data record. This study examined the performance analysis of the DBMS synchronization method using MD5. The testing was performed by observing the parameters of execution time of synchronization ptocess for the MySQL DBMS and PostgreSQL types. The results showed that the execution time of the MD5 synchronization process was proportional to the number of data records that need to be synchronized. This is because the hashing process that must be done on every data record and synchronization mechanism requires all data to be sent to check and compare the hash values of each data record in the destination synchronization database even though the data has not changed.

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MWPoW - Multi-Winner Proof of Work Consensus Protocol: An Immediate Block-Confirm Solution and an Incentive for Common Devices to Join Blockchain

MWPoW - Multi-Winner Proof of Work Consensus Protocol: An Im...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Yibin Xu Yangyu Huang School of Computer Science and Informatics Cardiff University Cardiff UK School of Electronic Engineering and Automation Gulin University of Electronic technology Gulin PRC

ISBN: (纸本)9781728111421;9781728111414

In this article, we present designs for a Multi Winner Proof of Work (MWPoW) consensus primitive. MWPoW is a consensus protocol that places the group mining idea directly into a protocol to prevent power centralization, higher general reward expectation among participants and shorten the interval time of block generation. It makes every miner a component of one of three groups assigned by the network, not as an individual competitor; all users in the winner group receive compensation. The hash difficulty is higher than ordinary blockchain because there are only three parties in the system. MWPoW powered block-chain is more secure from tampering. The blocks can be quickly final accepted without later block confirms, which makes it possible for block interval time to be minuteness. The experiment suggests the hash rate of MWPoW is around 1500 times larger than Nakamoto blockchain while it only requires about 1 second to finally accept a block in the lab environment (with 3-second block interval). MWPoW is universal profitable (the mining remuneration is much more distributed than Nakamoto block-chain).

关键词： 5G mobile communication Integrated circuits Bars Distributed processing Ubiquitous computing Big Data Cloud computing

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Handling Service Level Agreements in IoT = Minding Rules + Log Analytics?

Handling Service Level Agreements in IoT = Minding Rules + L...

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International Conference on Enterprise Distributed Object Computing (EDOC)

作者： Trung-Viet Nguyen Lam-Son Lê Hong-Linh Truong Khuong Nguyen-An Phuong Hoai Ha Faculty of Computer Science & Engineering HCMC University of Technology Vietnam Faculty of Informatics TU Wien Austria UiT The Arctic University of Norway Norway

With the rise of Internet of Things, end-users expect to obtain data from well-connected smart devices and stations through data services being provisioned in distributed architectures. Such services could be aggregated in a number of smart ways to provide the end-users and third-party applications with sophisticated data (e.g., weather data coupled with soil pollution), resulting in a growing number of service offerings to be requested. Service offerings that have been shortlisted for a certain data request (e.g., rainfall in a particular farming site) need to be ranked according to the end-users' preference. Service level agreements, i.e., the mutual responsibilities between the service provider and its consumers, address this sort of preference. Unfortunately, provisioning quality-aware services under this term still stays on the sidelines. In this paper, we propose a novel service architecture where the service level agreements shall be: (i) accumulated overtime on IoT service transactions; (ii) compiled when aggregating IoT services; (iii) used as a ranking criterion for suggesting IoT service offerings. We demonstrate our new approach in the service provisioning of agricultural datasets taken from a farming site of the Mekong Delta in Vietnam.

关键词： Cloud computing Monitoring Companies Adaptation models Clouds Distributed databases

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