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Presentations Iucr Enhanced Figure Toolkit
Integrating Data with Publications: Greater Interactivity and Challenges for Long-Term Preservation of the Scientific Record Brian McMahon International Union of Crystallography 5 Abbey Square Chester CH1 2HU UK [email protected] CODATA Conference 2010 International Union of Crystallography • International Scientific Union • Publishes 8 research journals: • Acta Crystallographica Section A: Foundations of Crystallography • Acta Crystallographica Section B: Structural Science • Acta Crystallographica Section C: Crystal Structure Communications • Acta Crystallographica Section D: Biological Crystallography • Acta Crystallographica Section E: Structure Reports Online • Acta Crystallographica Section F:Structural Biology and Crystallization Communications • Journal of Applied Crystallography • Journal of Synchrotron Radiation • Publishes major reference work International Tables for Crystallography (8 volumes) • Promotes standard crystallographic data file format (CIF) Crystallographic (X-ray diffraction) experiment Types of data relevant to publication Data can mean any or all of: 1. raw measurements from an experiment 2. processed numerical observations 3. derived structural information (1) 4. variable parameters in the experimental set-up or numerical modelling and interpretation 5. bibliographic and linking (2)(3) information We make no fundamental distinction between data and metadata – metadata are data that are of secondary interest to the current focus of attention. (4) (5) Why publish data? Some reasons: • To enhance the reproducibility -
Hygroscopicity of Pharmaceutical Crystals
HYGROSCOPICITY OF PHARMACEUTICAL CRYSTALS A DISSERTATION SUBMITTED TO THE FACULTY OF GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY DABING CHEN IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY RAJ SURYANARAYANAN (ADVISER) JANUARY, 2009 © Dabing Chen, January / 2009 ACKNOWLEDGEMENTS I am very grateful to my thesis advisor, Prof. Raj Suryanarayanan, for his constant guidance, support, and encouragement throughout my research. Without his help, the completion of this thesis would be impossible. His friendship and advices are precious to my professional and personal growth and will help me overcome many difficulties in my future career. I would like to take the opportunity to thank Prof. David J.W. Grant, who was my advisor during the first three years in graduate school and led me into the research area of physical pharmacy. It was my great honor to have worked for him, and he will always live as a role model in my life. Many thanks to Dr. Zheng Jane Li at Boehringer Ingelheim Pharmaceuticals (BI) for her invaluable advice as an industrial mentor and also for agreeing to serve on my committee. I sincerely appreciate her helpful discussions, revision of the manuscripts, and supervision of my research. I also want to thank her for providing me the internship opportunity at BI. I thank Dr. Timothy S. Wiedmann and Dr. Theodore P. Labuza for serving on my committee and for critically reviewing my thesis. I also want to thank Dr. Timothy S. Wiedmann for allowing me the use of the HPLC instruments in his lab and also for his advice as the Director of Graduate Studies. -
SVP's Letter to Editors of Journals and Publishers on Burmese Amber And
Society of Vertebrate Paleontology 7918 Jones Branch Drive, Suite 300 McLean, VA 22102 USA Phone: (301) 634-7024 Email: [email protected] Web: www.vertpaleo.org FEIN: 06-0906643 April 21, 2020 Subject: Fossils from conflict zones and reproducibility of fossil-based scientific data Dear Editors, We are writing you today to promote the awareness of a couple of troubling matters in our scientific discipline, paleontology, because we value your professional academic publication as an important ‘gatekeeper’ to set high ethical standards in our scientific field. We represent the Society of Vertebrate Paleontology (SVP: http://vertpaleo.org/), a non-profit international scientific organization with over 2,000 researchers, educators, students, and enthusiasts, to advance the science of vertebrate palaeontology and to support and encourage the discovery, preservation, and protection of vertebrate fossils, fossil sites, and their geological and paleontological contexts. The first troubling matter concerns situations surrounding fossils in and from conflict zones. One particularly alarming example is with the so-called ‘Burmese amber’ that contains exquisitely well-preserved fossils trapped in 100-million-year-old (Cretaceous) tree sap from Myanmar. They include insects and plants, as well as various vertebrates such as lizards, snakes, birds, and dinosaurs, which have provided a wealth of biological information about the ‘dinosaur-era’ terrestrial ecosystem. Yet, the scientific value of these specimens comes at a cost (https://www.nytimes.com/2020/03/11/science/amber-myanmar-paleontologists.html). Where Burmese amber is mined in hazardous conditions, smuggled out of the country, and sold as gemstones, the most disheartening issue is that the recent surge of exciting scientific discoveries, particularly involving vertebrate fossils, has in part fueled the commercial trading of amber. -
Machine Learning for Condensed Matter Physics
Review Article Machine Learning for Condensed Matter Physics Edwin A. Bedolla-Montiel1, Luis Carlos Padierna1 and Ram´on Casta~neda-Priego1 1 Divisi´onde Ciencias e Ingenier´ıas,Universidad de Guanajuato, Loma del Bosque 103, 37150 Le´on,Mexico E-mail: [email protected] Abstract. Condensed Matter Physics (CMP) seeks to understand the microscopic interactions of matter at the quantum and atomistic levels, and describes how these interactions result in both mesoscopic and macroscopic properties. CMP overlaps with many other important branches of science, such as Chemistry, Materials Science, Statistical Physics, and High-Performance Computing. With the advancements in modern Machine Learning (ML) technology, a keen interest in applying these algorithms to further CMP research has created a compelling new area of research at the intersection of both fields. In this review, we aim to explore the main areas within CMP, which have successfully applied ML techniques to further research, such as the description and use of ML schemes for potential energy surfaces, the characterization of topological phases of matter in lattice systems, the prediction of phase transitions in off-lattice and atomistic simulations, the interpretation of ML theories with physics- inspired frameworks and the enhancement of simulation methods with ML algorithms. We also discuss in detial the main challenges and drawbacks of using ML methods on CMP problems, as well as some perspectives for future developments. Keywords: machine learning, condensed matter physics Submitted -
Researchers Publish Review Article on the Physics of Interacting Particles 29 December 2020
Researchers publish review article on the physics of interacting particles 29 December 2020 wide range of branches of physics—from biophysics to quantum mechanics. The article is a so-called review article and was written by physicists Michael te Vrugt and Prof. Raphael Wittkowski from the Institute of Theoretical Physics and the Center for Soft Nanoscience at the University of Münster, together with Prof. Hartmut Löwen from the Institute for Theoretical Physics II at the University of Düsseldorf. The aim of such review articles is to provide an introduction to a certain subject area and to summarize and evaluate the current state of research in this area for the benefit of other researchers. "In our case we deal with a theory used in very many areas—the so- called dynamical density functional theory (DDFT)," explains last author Raphael Wittkowski. "Since we deal with all aspects of the subject, the article turned out to be very long and wide-ranging." DDFT is a method for describing systems consisting of a large number of interacting particles such as are found in liquids, for example. Understanding these systems is important in numerous fields of research such as chemistry, solid state physics or biophysics. This in turn leads to a large variety of applications for DDFT, for example in materials science and biology. "DDFT and related methods have been developed and applied by a number of researchers in a variety of contexts," says lead author Michael te Vrugt. "We investigated which approaches there are and how Time axis showing the number of publications relating to they are connected—and for this purpose we dynamical density functional theory. -
Listed by Highest Impact Factor
LatestImpactFactors http://mail.elsevieralerts.com/go.asp?%2fbESJ001%2fxFV7O22F%2... To display this email in a browser, please click here Share this with colleagues on your social network Dear Subscriber, The latest impact factors* for Elsevier's Materials Science journals have just been released and highlights include... Progress In Polymer Science 2008 Impact Factor WAS 16.819 2009 Impact Factor NOW 23.753 Nano Today 2008 Impact Factor WAS 8.795 2009 Impact Factor NOW 13.237 Biomaterials 2008 Impact Factor WAS 6.646 2009 Impact Factor NOW 7.365 Polymer 2008 Impact Factor WAS 3.331 2009 Impact Factor NOW 3.573 Composites Science And Technology 2008 Impact Factor WAS 2.533 2009 Impact Factor NOW 2.901 Listed by highest Impact Factor Journal Title 2008 Impact 2009 Factor WAS Impact Factor NOW Progress In Materials 18.132 15.769 Science Materials Science & 12.619 12.217 Engineering R-Reports Materials Today 12.929 11.452 Carbon 4.373 4.504 Current Opinions In Solid 2.976 4.000 State And Materials Science Стр.1из3 24.06.1011:25 LatestImpactFactors http://mail.elsevieralerts.com/go.asp?%2fbESJ001%2fxFV7O22F%2... Science Acta Biomaterialia: 3.727 3.975 Structure - Property - Function Relationships Acta Materialia 3.729 3.760 Scripta Materialia 2.887 2.949 Reactive & Functional 2.039 2.461 Polymers Composites Part 1.951 2.410 A-Applied Science And Manufacturing Cement And Concrete 1.549 2.376 Research Corrosion Science 2.293 2.316 European Polymer Journal 2.143 2.310 Intermetallics 2.034 2.231 Polymer Degradation And 2.320 2.154 Stability Journal -
Journals from BMJ
Journals from BMJ journals.bmj.com BMJ started out over 170 years ago as Providing high quality content for health professionals and a medical journal, publishing our first researchers across the world. Our journals include not only the BMJ, research paper. but some of the most influential speciality journals in their field. Now, as a global brand with a worldwide audience, we help medical organisations and clinicians tackle today’s most critical • In the last 12 months, over 50 million unique users accessed healthcare challenges. our subscription journals online, generating over 107 million page views. What is an Our vision is to create ‘a healthier world’. • Nearly 80% of our titles saw Impact Factor rises in 2014. Impact Factor? BMJ’s journals division now publishes more than 50 of the • 21% of our users view journal content from mobile devices. An Impact Factor (IF) is a measure of world’s leading medical and allied science journals. In doing so, the frequency with which the average we have pioneered the migration to digital publishing and the article in a journal has been cited in development of open access. a particular year. The annual Journal For more information or to of Citation Reports impact factor is a ratio between citations and recent Today, our expertise extends to medical education, clinical arrange a trial, please contact: citable items published. Thus, the decision support, data analytics and quality improvement to BMJ Consortia sales impact factor of a journal is calculated enhance day to day decision-making and healthcare delivery. by dividing the number of current E: [email protected] year citations to the source items T: +44 (0) 20 7383 6438 published in that journal during the “At BMJ we believe the work we do previous two years. -
SCIENCE CITATION INDEX EXPANDED - JOURNAL LIST Total Journals: 8631
SCIENCE CITATION INDEX EXPANDED - JOURNAL LIST Total journals: 8631 1. 4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH 2. AAPG BULLETIN 3. AAPS JOURNAL 4. AAPS PHARMSCITECH 5. AATCC REVIEW 6. ABDOMINAL IMAGING 7. ABHANDLUNGEN AUS DEM MATHEMATISCHEN SEMINAR DER UNIVERSITAT HAMBURG 8. ABSTRACT AND APPLIED ANALYSIS 9. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 10. ACADEMIC EMERGENCY MEDICINE 11. ACADEMIC MEDICINE 12. ACADEMIC PEDIATRICS 13. ACADEMIC RADIOLOGY 14. ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE 15. ACCOUNTS OF CHEMICAL RESEARCH 16. ACCREDITATION AND QUALITY ASSURANCE 17. ACI MATERIALS JOURNAL 18. ACI STRUCTURAL JOURNAL 19. ACM COMPUTING SURVEYS 20. ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS 21. ACM SIGCOMM COMPUTER COMMUNICATION REVIEW 22. ACM SIGPLAN NOTICES 23. ACM TRANSACTIONS ON ALGORITHMS 24. ACM TRANSACTIONS ON APPLIED PERCEPTION 25. ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION 26. ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS 27. ACM TRANSACTIONS ON COMPUTATIONAL LOGIC 28. ACM TRANSACTIONS ON COMPUTER SYSTEMS 29. ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION 30. ACM TRANSACTIONS ON DATABASE SYSTEMS 31. ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS 32. ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS 33. ACM TRANSACTIONS ON GRAPHICS 34. ACM TRANSACTIONS ON INFORMATION AND SYSTEM SECURITY 35. ACM TRANSACTIONS ON INFORMATION SYSTEMS 36. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 37. ACM TRANSACTIONS ON INTERNET TECHNOLOGY 38. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 39. ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE 40. ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION 41. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 42. ACM TRANSACTIONS ON PROGRAMMING LANGUAGES AND SYSTEMS 43. ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS 44. -
Electrospun Thymosin Beta-4 Loaded PLGA/PLA Nanofiber/ Microfiber Hybrid Arnsy for Tendon Tissue Engineering Application
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Mechanical & Materials Engineering Faculty Mechanical & Materials Engineering, Publications Department of 2020 Electrospun Thymosin Beta-4 Loaded PLGA/PLA Nanofiber/ Microfiber Hybrid arnsY for Tendon Tissue Engineering Application Shaohua Wu University of Nebraska Medical Center Rong Zhou Qingdao University Fang Zhou Qingdao University Philipp N. Streubel University of Nebraska Medical Center, [email protected] Shaojuan Chen Qingdao University, [email protected] See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/mechengfacpub Part of the Mechanics of Materials Commons, Nanoscience and Nanotechnology Commons, Other Engineering Science and Materials Commons, and the Other Mechanical Engineering Commons Wu, Shaohua; Zhou, Rong; Zhou, Fang; Streubel, Philipp N.; Chen, Shaojuan; and Duan, Bin, "Electrospun Thymosin Beta-4 Loaded PLGA/PLA Nanofiber/ Microfiber Hybrid arnsY for Tendon Tissue Engineering Application" (2020). Mechanical & Materials Engineering Faculty Publications. 478. https://digitalcommons.unl.edu/mechengfacpub/478 This Article is brought to you for free and open access by the Mechanical & Materials Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Mechanical & Materials Engineering Faculty Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Shaohua Wu, Rong Zhou, Fang Zhou, Philipp N. Streubel, Shaojuan Chen, and Bin Duan This article is available at DigitalCommons@University of Nebraska - Lincoln: https://digitalcommons.unl.edu/ mechengfacpub/478 HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Mater Sci Manuscript Author Eng C Mater Manuscript Author Biol Appl. Author manuscript; available in PMC 2020 March 09. Published in final edited form as: Mater Sci Eng C Mater Biol Appl. -
Views in Some Particular Fields [5, 6], Area
Liu et al. Chinese Neurosurgical Journal (2015) 1:17 DOI 10.1186/s41016-015-0017-0 RESEARCH Open Access Neurosurgical publications in China: an analysis of the web of science database Weiming Liu*, Deling Li, Ming Ni, Wang Jia, Weiqing Wan, Jie Tang and Guijun Jia Abstract Background: Neurosurgery in China has made great progress. The aim of this study was to analyze neurosurgical publications by Chinese authors using the Web of Science database as a way to illustrate the current state of neurosurgery in China. Methods: We searched the Web of Science core database for articles containing “neurosurg*” with or without an author address in “China” to obtain the set of neurosurgical publications in China and worldwide. We then extracted data from the search results to obtain information such as document type, countries/territories, organizations, publication year, title and research area. Then, we analyzed the search results of articles (document type) to generate a citation report. We identified publications by Chinese neurosurgeons that were cited more than 100 times. Results: A total of 165,365 neurosurgical publications were identified. Among them, 10,770 were published by Chinese neurosurgeons. Chinese neurosurgical publications have increased year by year, accounting for 2 % of neurosurgical publications before 2010 and rising to 13 % from 2010 to the present. The most frequent journals for Chinese neurosurgeons differ from the most frequent journals worldwide. We identified 34 Chinese organizations that published more than 100 publications. We also identified 19 studies written by Chinese neurosurgeons that were cited more than 100 times. Basic research represents a large proportion of Chinese publications in this area, while clinical research remains a weak area. -
Advanced Science Letters
also developed by scimago: SCIMAGO INSTITUTIONS RANKINGS Scimago Journal & Country Rank Enter Journal Title, ISSN or Publisher Name Home Journal Rankings Country Rankings Viz Tools Help About Us Templates For Filmmakers Unlimited Downloads, Over 500,000 Video Assets, Easy To Use & High Quality, Join Free. Motion Array OPEN Advanced Science Letters discontinued in Scopus as of 2017 Country United States - SIR Ranking of United States Subject Area and Category Computer Science 26 Computer Science (miscellaneous) Energy H Index Ener gy (miscellaneous) Engineering Engineering (miscellaneous) Environmental Science Environmental Science (miscellaneous) Mathematics Mathematics (miscellaneous) Social Sciences Education Health (social science) Publisher American Scientic Publishers Publication type Journals ISSN 19366612, 19367317 Coverage 2010-2017 Scope Information not localized Join the conversation about this journal Unlimited Premiere Templates Unlimited Downloads, Over 500,000 Video Assets, Easy To Use & High Quality, Join Free. Motion Array Q til Quartiles TheComputer set of journals Science ha (miscellaneous)ve been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of theEducation journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest valuesEner andgy Q4 (miscellaneous) (red) the lowest values. Engineering (miscellaneous) EnvirCategoronmentaly Science (miscellaneous) Year Quartile Computer ScienceHealth (miscellaneous) (social science) 2011 Q2 ComputerMathematics Science (miscellaneous)(miscellaneous) 2012 Q3 Computer Science (miscellaneous) 2011 20132012Q2 2013 2014 2015 2016 2017 2018 2019 Computer Science (miscellaneous) 2014 Q4 SJR Citations per document The0.3 SJR is a size-independent prestige indicator that This2 indicator counts the number of citations received by ranks journals by their 'average prestige per article'. -
Predictors of Citations in Neurosurgical Research Chesney S
Original Article Predictors of Citations in Neurosurgical Research Chesney S. Oravec1, Casey D. Frey3, Benjamin W. Berwick3, Lukas Vilella3, Carol A. Aschenbrenner2, Stacey Q. Wolfe1, Kyle M. Fargen1 - OBJECTIVE: The number of citations an article receives evidence, number of participating centers, number of au- is an important measure of impact for published research. thors, and the publishing journal’s impact factor. There are limited published data on predictors of citations in neurosurgery research. We aimed to analyze predictors of citations for neurosurgical articles. - METHODS: All articles published in 14 neurosurgical journals in the year 2015 were examined and data INTRODUCTION collected about their features. The number of citations for n recent years there has been an increase in the volume of each article was tallied using both Web of Science (WoS) research, along with multiple efforts to quantify the productivity and Google Scholar (GS) 2.5 years after their publication in I of researchers and the influence of study results. One long- print. Negative binomial regression was then performed to standing measure of research impact is the journal impact factor, determine the relationship between article features and which is calculated based on the number of citations received by an citation counts for scientific articles. article published in a given journal. Though somewhat controversial for the ways in which this calculation can be skewed, the impact - RESULTS: A total of 3923 articles were analyzed, factor is a well-recognized measure of the significance of scientific comprising 2867 scientific articles (72.6%) and 1056 research. Given the limitations of this one calculation, however, the nonscientific (editorial, commentary, etc.) articles (27.4%).