Pub Date : 2015-10-01DOI: 10.1177/1529100615607244
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Pub Date : 2015-05-01DOI: 10.1177/1529100615580544
{"title":"About the Authors","authors":"","doi":"10.1177/1529100615580544","DOIUrl":"https://doi.org/10.1177/1529100615580544","url":null,"abstract":"","PeriodicalId":20879,"journal":{"name":"Psychological Science in the Public Interest","volume":"16 1","pages":"ii - iii"},"PeriodicalIF":25.4,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1529100615580544","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65439826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1177/1529100614554912
Larry Dooley, R. D. Blackburn
Crochemore repetition algorithm introduced in 1981 was the first O(n log n) algorithm for computing repetitions. Since then, several linear-time worst-case algorithms for computing runs have been introduced. They all follow a similar strategy – first compute the suffix tree or array, then use the suffix tree or array to compute the Lempel-Ziv factorization, then using the Lempel-Ziv factorization compute all the runs. It is conceivable that in practice an extension of Crochemore repetition algorithm may outperform the linear-time algorithms, or at least for certain classes of strings. The nature of Crochemore algorithm lends itself naturally to parallelization, while the linear-time algorithms are not easily conducive to parallelization. For all these reasons it is interesting to explore ways to extend the original Crochemore repetition algorithm to compute runs. We present three variants of extending the repetition algorithm to compute runs – two with a worsen complexity of O(n log n), and one with the same complexity as the original algorithm. The three variants are tested for speed of performance and their memory requirements are analyzed.
{"title":"About the Authors","authors":"Larry Dooley, R. D. Blackburn","doi":"10.1177/1529100614554912","DOIUrl":"https://doi.org/10.1177/1529100614554912","url":null,"abstract":"Crochemore repetition algorithm introduced in 1981 was the first O(n log n) algorithm for computing repetitions. Since then, several linear-time worst-case algorithms for computing runs have been introduced. They all follow a similar strategy – first compute the suffix tree or array, then use the suffix tree or array to compute the Lempel-Ziv factorization, then using the Lempel-Ziv factorization compute all the runs. It is conceivable that in practice an extension of Crochemore repetition algorithm may outperform the linear-time algorithms, or at least for certain classes of strings. The nature of Crochemore algorithm lends itself naturally to parallelization, while the linear-time algorithms are not easily conducive to parallelization. For all these reasons it is interesting to explore ways to extend the original Crochemore repetition algorithm to compute runs. We present three variants of extending the repetition algorithm to compute runs – two with a worsen complexity of O(n log n), and one with the same complexity as the original algorithm. The three variants are tested for speed of performance and their memory requirements are analyzed.","PeriodicalId":20879,"journal":{"name":"Psychological Science in the Public Interest","volume":"15 1","pages":"ii - iii"},"PeriodicalIF":25.4,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1529100614554912","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65439792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1177/1529100614544460
J. E. Clark, Bryan P. Johnson, Bryan P. Johnson
Edward Altman has spent the last decade developing media semantics as a senior scientist at the Institute for Infocomm Research (I2R), Singapore, and before that as a visiting researcher at ATR Media Integration & Communications Research Laboratories, Japan. He received a PhD in electrical and computer engineering at the University of Illinois, USA (1990) and performed post-doctoral research in a joint computer vision and cognitive science program at the Beckman Institute for Advanced Science and Technology.
{"title":"About the Authors","authors":"J. E. Clark, Bryan P. Johnson, Bryan P. Johnson","doi":"10.1177/1529100614544460","DOIUrl":"https://doi.org/10.1177/1529100614544460","url":null,"abstract":"Edward Altman has spent the last decade developing media semantics as a senior scientist at the Institute for Infocomm Research (I2R), Singapore, and before that as a visiting researcher at ATR Media Integration & Communications Research Laboratories, Japan. He received a PhD in electrical and computer engineering at the University of Illinois, USA (1990) and performed post-doctoral research in a joint computer vision and cognitive science program at the Beckman Institute for Advanced Science and Technology.","PeriodicalId":20879,"journal":{"name":"Psychological Science in the Public Interest","volume":"15 1","pages":"ii - iii"},"PeriodicalIF":25.4,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1529100614544460","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65439770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-05-01DOI: 10.1177/1529100614527728
Gritt Ahrens, S. Bacha
Daimler AG X944 Systems Integration and Comfort Electric Sindelfingen, Germany gritt.ahrens@daimler.com Gritt Ahrens received the PhD degree from the Department of Engineering Design and Methodology at the Technical University of Berlin. She developed a method for capture and management of product requirements and substantiated its practical applicability. Since 2001 she has been developing and optimizing various processes in the context of car development at Mercedes-Benz Cars Development (Daimler AG).
{"title":"About the Authors","authors":"Gritt Ahrens, S. Bacha","doi":"10.1177/1529100614527728","DOIUrl":"https://doi.org/10.1177/1529100614527728","url":null,"abstract":"Daimler AG X944 Systems Integration and Comfort Electric Sindelfingen, Germany gritt.ahrens@daimler.com Gritt Ahrens received the PhD degree from the Department of Engineering Design and Methodology at the Technical University of Berlin. She developed a method for capture and management of product requirements and substantiated its practical applicability. Since 2001 she has been developing and optimizing various processes in the context of car development at Mercedes-Benz Cars Development (Daimler AG).","PeriodicalId":20879,"journal":{"name":"Psychological Science in the Public Interest","volume":"47 1","pages":"1 - 1"},"PeriodicalIF":25.4,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1529100614527728","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65439732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-01DOI: 10.1177/1529100613496062
E. Fernández
PAUL ATKINSON is Head of the General Economic Assessment Division of the Economics Department at the Organisation for Economic Co-operation and Development, in Paris. He has also served as head of the Money & Finance Division, as Counsellor for Macroeconomic Policy, and as Principal Administrator, Balance of Payments Division. Earlier, he worked at the Institute of International Finance and at the New Zealand Treasury. Atkinson was an undergraduate at Williams College and received a master’s degree in mathematics from Trinity College. He went on to earn B.A., M.A., and Ph.D. degrees in economics from Trinity College, University of Cambridge. He has written on world trade, monetary targeting, and interest rates. A recent article (with Robert C. York) is “The Reliability of Quarterly National Accounts in Seven Major Countries: A User’s Perspective.”
保罗·阿特金森(PAUL ATKINSON)，经济合作与发展组织经济部综合经济评估司司长。他还曾担任货币与金融司司长、宏观经济政策顾问和国际收支司首席行政官。此前，他曾在国际金融研究所和新西兰财政部工作。阿特金森是威廉姆斯学院的本科生，并获得了三一学院的数学硕士学位。他在剑桥大学三一学院(Trinity College, University of Cambridge)获得经济学学士、硕士和博士学位。他撰写了有关世界贸易、货币目标和利率的文章。最近的一篇文章(与Robert C. York合作)是“七个主要国家季度国民核算的可靠性:用户视角”。
{"title":"About the Authors","authors":"E. Fernández","doi":"10.1177/1529100613496062","DOIUrl":"https://doi.org/10.1177/1529100613496062","url":null,"abstract":"PAUL ATKINSON is Head of the General Economic Assessment Division of the Economics Department at the Organisation for Economic Co-operation and Development, in Paris. He has also served as head of the Money & Finance Division, as Counsellor for Macroeconomic Policy, and as Principal Administrator, Balance of Payments Division. Earlier, he worked at the Institute of International Finance and at the New Zealand Treasury. Atkinson was an undergraduate at Williams College and received a master’s degree in mathematics from Trinity College. He went on to earn B.A., M.A., and Ph.D. degrees in economics from Trinity College, University of Cambridge. He has written on world trade, monetary targeting, and interest rates. A recent article (with Robert C. York) is “The Reliability of Quarterly National Accounts in Seven Major Countries: A User’s Perspective.”","PeriodicalId":20879,"journal":{"name":"Psychological Science in the Public Interest","volume":"14 1","pages":"116 - 116"},"PeriodicalIF":25.4,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1529100613496062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65439721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-01DOI: 10.1177/1529100613484445
P. Cossmann
Università Campus Bio-Medico di Roma CIR – Center for Integrated Research Rome, Italy d.accoto@unicampus.it Dino Accoto is an Assistant Professor in Industrial Bioengineering at the Università Campus Bio-Medico di Roma. He received the PhD in biomedical robotics from the Scuola Superiore Sant’Anna in 2002. Since 2004, he has been with the Laboratory of Biomedical Robotics and Biomicrosystems at Università Campus Bio-Medico di Roma. His main research interests are in wearable robotics, microengineering and biomechatronics.
{"title":"About the Authors","authors":"P. Cossmann","doi":"10.1177/1529100613484445","DOIUrl":"https://doi.org/10.1177/1529100613484445","url":null,"abstract":"Università Campus Bio-Medico di Roma CIR – Center for Integrated Research Rome, Italy d.accoto@unicampus.it Dino Accoto is an Assistant Professor in Industrial Bioengineering at the Università Campus Bio-Medico di Roma. He received the PhD in biomedical robotics from the Scuola Superiore Sant’Anna in 2002. Since 2004, he has been with the Laboratory of Biomedical Robotics and Biomicrosystems at Università Campus Bio-Medico di Roma. His main research interests are in wearable robotics, microengineering and biomechatronics.","PeriodicalId":20879,"journal":{"name":"Psychological Science in the Public Interest","volume":"14 1","pages":"61 - 61"},"PeriodicalIF":25.4,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1529100613484445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65439687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-01-01DOI: 10.1177/1529100612472472
J. Dunlosky, James S. Mcdonnell, Katherine A. Rawson
University, where he has taught since 2004. He has contributed empirical and theoretical work on memory and metacognition, including theories of self-regulated learning and metacomprehension. Since his postdoctoral training at the Georgia Institute of Technology, he has explored people’s metacognitive capabilities and how to improve them. A major aim of his research program is to develop techniques to improve the effectiveness of people’s self-regulated learning across the life span. His research has been funded by grants from the National Institute on Aging, the Institute of Education Sciences (U.S. Department of Education), and the James S. McDonnell Foundation. A fellow of the Association for Psychological Science, he is a founder of the International Association for Metacognition, has coauthored Metacognition (which is the first textbook on the topic), and has edited several books on metacognition and education. He also serves as an associate editor for the Psychonomic Bulletin & Review.
他从2004年开始在大学任教。他在记忆和元认知方面的经验和理论工作做出了贡献，包括自我调节学习和元理解理论。自从在佐治亚理工学院(Georgia Institute of Technology)接受博士后培训以来，他一直在探索人的元认知能力以及如何提高它们。他的研究计划的一个主要目的是开发技术，以提高人们在整个生命周期中自我调节学习的有效性。他的研究得到了国家老龄化研究所、教育科学研究所(美国教育部)和詹姆斯·s·麦克唐纳基金会的资助。作为心理科学协会的会员，他是国际元认知协会的创始人之一，与人合著了《元认知》(这是关于该主题的第一本教科书)，并编辑了几本关于元认知和教育的书籍。他还担任《心理经济学公报与评论》的副主编。
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Pub Date : 2012-12-01DOI: 10.1177/1529100612459637
I. Shmulevich
Mining large datasets using machine learning approaches often leads to models that are hard to interpret and not amenable to the generation of hypotheses that can be experimentally tested. Finding ‘actionable knowledge’ is becoming more important, but also more challenging as datasets grow in size and complexity. We present ‘Logic Optimization for Binary Input to Continuous Output’ (LOBICO), a computational approach that infers small and easily interpretable logic models of binary input features that explain a binarized continuous output variable. Although the continuous output variable is binarized prior to optimization, the continuous information is retained to find the optimal logic model. Applying LOBICO to a large cancer cell line panel, we find that logic combinations of multiple mutations are more predictive of drug response than single gene predictors. Importantly, we show that the use of the continuous information leads to robust and more accurate logic models. LOBICO is formulated as an integer programming problem, which enables rapid computation on large datasets. Moreover, LOBICO implements the ability to uncover logic . CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/036970 doi: bioRxiv preprint first posted online Jan. 15, 2016;
{"title":"About the Authors","authors":"I. Shmulevich","doi":"10.1177/1529100612459637","DOIUrl":"https://doi.org/10.1177/1529100612459637","url":null,"abstract":"Mining large datasets using machine learning approaches often leads to models that are hard to interpret and not amenable to the generation of hypotheses that can be experimentally tested. Finding ‘actionable knowledge’ is becoming more important, but also more challenging as datasets grow in size and complexity. We present ‘Logic Optimization for Binary Input to Continuous Output’ (LOBICO), a computational approach that infers small and easily interpretable logic models of binary input features that explain a binarized continuous output variable. Although the continuous output variable is binarized prior to optimization, the continuous information is retained to find the optimal logic model. Applying LOBICO to a large cancer cell line panel, we find that logic combinations of multiple mutations are more predictive of drug response than single gene predictors. Importantly, we show that the use of the continuous information leads to robust and more accurate logic models. LOBICO is formulated as an integer programming problem, which enables rapid computation on large datasets. Moreover, LOBICO implements the ability to uncover logic . CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/036970 doi: bioRxiv preprint first posted online Jan. 15, 2016;","PeriodicalId":20879,"journal":{"name":"Psychological Science in the Public Interest","volume":"13 1","pages":"104 - 104"},"PeriodicalIF":25.4,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1529100612459637","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65439638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-06-01DOI: 10.1177/1529100612448321
J. Bew
John Krogstie has a PhD (1995) and an MSc (1991) in Information Systems, both from the Norwegian University of Science and Technology (NTNU). He is currently a senior research scientist at SINTEF. He is also a part-time professor at NTNU and was employed as a manager at Accenture (1991-2000). Dr. Krogstie is the Norwegian representative for IFIP TC8 and a member of IFIP WG 8.1 on Information Systems Design and Evaluation, where he is the initiator and leader of the task group for Mobile Information Systems. He has published approximately 50 refereed papers in journals, books, and archival proceedings since 1991.
John Krogstie, 1995年获得挪威科技大学信息系统博士学位，1991年获得信息系统硕士学位。他目前是SINTEF的高级研究科学家。他也是南洋理工大学的兼职教授，并在埃森哲担任经理(1991-2000)。Krogstie博士是IFIP TC8的挪威代表，也是IFIP WG 8.1关于信息系统设计和评估的成员，他是移动信息系统任务组的发起者和领导者。自1991年以来，他在期刊、书籍和档案论文集上发表了大约50篇论文。
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