Citizen Science for Mining the Biomedical Literature

Directory of Open Access Journals (Sweden)

Ginger Tsueng

2016-12-01

Full Text Available Biomedical literature represents one of the largest and fastest growing collections of unstructured biomedical knowledge. Finding critical information buried in the literature can be challenging. To extract information from free-flowing text, researchers need to: 1. identify the entities in the text (named entity recognition, 2. apply a standardized vocabulary to these entities (normalization, and 3. identify how entities in the text are related to one another (relationship extraction. Researchers have primarily approached these information extraction tasks through manual expert curation and computational methods. We have previously demonstrated that named entity recognition (NER tasks can be crowdsourced to a group of non-experts via the paid microtask platform, Amazon Mechanical Turk (AMT, and can dramatically reduce the cost and increase the throughput of biocuration efforts. However, given the size of the biomedical literature, even information extraction via paid microtask platforms is not scalable. With our web-based application Mark2Cure (http://mark2cure.org, we demonstrate that NER tasks also can be performed by volunteer citizen scientists with high accuracy. We apply metrics from the Zooniverse Matrices of Citizen Science Success and provide the results here to serve as a basis of comparison for other citizen science projects. Further, we discuss design considerations, issues, and the application of analytics for successfully moving a crowdsourcing workflow from a paid microtask platform to a citizen science platform. To our knowledge, this study is the first application of citizen science to a natural language processing task.

Archives: Journal of Medical and Biomedical Sciences

African Journals Online (AJOL)

Items 1 - 20 of 20 ... Archives: Journal of Medical and Biomedical Sciences. Journal Home > Archives: Journal of Medical and Biomedical Sciences. Log in or Register to get access to full text downloads.

Optimizing biomedical science learning in a veterinary curriculum: a review.

Science.gov (United States)

Warren, Amy L; Donnon, Tyrone

2013-01-01

As veterinary medical curricula evolve, the time dedicated to biomedical science teaching, as well as the role of biomedical science knowledge in veterinary education, has been scrutinized. Aside from being mandated by accrediting bodies, biomedical science knowledge plays an important role in developing clinical, diagnostic, and therapeutic reasoning skills in the application of clinical skills, in supporting evidence-based veterinary practice and life-long learning, and in advancing biomedical knowledge and comparative medicine. With an increasing volume and fast pace of change in biomedical knowledge, as well as increased demands on curricular time, there has been pressure to make biomedical science education efficient and relevant for veterinary medicine. This has lead to a shift in biomedical education from fact-based, teacher-centered and discipline-based teaching to applicable, student-centered, integrated teaching. This movement is supported by adult learning theories and is thought to enhance students' transference of biomedical science into their clinical practice. The importance of biomedical science in veterinary education and the theories of biomedical science learning will be discussed in this article. In addition, we will explore current advances in biomedical teaching methodologies that are aimed to maximize knowledge retention and application for clinical veterinary training and practice.

USSR report: life sciences. Biomedical and behavioral sciences

International Nuclear Information System (INIS)

1982-09-01

Studies in life sciences, biomedical sciences, and behavioral sciences are reported. The following fields of interest were studied: agricultural biology, biochemistry, biotechnology, environment effects, medical demography, medicine, microbiology, physiology, radiation biology, and human factors engineering. For individual titles, see N82-33989 through N82-33994

Journal of Medical and Biomedical Sciences

African Journals Online (AJOL)

PROMOTING ACCESS TO AFRICAN RESEARCH ... The Journal of Medical and Biomedical Science publishes original, novel, peer-reviewed reports that pertain to medical and allied health sciences; confirmatory reports of previously ...

Science gateways for biomedical big data analysis

NARCIS (Netherlands)

Shahand, S.

2015-01-01

Biomedical researchers are facing data deluge challenges such as dealing with large volume of complex heterogeneous data and complex and computationally demanding data processing methods. Such scale and complexity of biomedical research requires multi-disciplinary collaboration between scientists

An information technology emphasis in biomedical informatics education.

Science.gov (United States)

Kane, Michael D; Brewer, Jeffrey L

2007-02-01

Unprecedented growth in the interdisciplinary domain of biomedical informatics reflects the recent advancements in genomic sequence availability, high-content biotechnology screening systems, as well as the expectations of computational biology to command a leading role in drug discovery and disease characterization. These forces have moved much of life sciences research almost completely into the computational domain. Importantly, educational training in biomedical informatics has been limited to students enrolled in the life sciences curricula, yet much of the skills needed to succeed in biomedical informatics involve or augment training in information technology curricula. This manuscript describes the methods and rationale for training students enrolled in information technology curricula in the field of biomedical informatics, which augments the existing information technology curriculum and provides training on specific subjects in Biomedical Informatics not emphasized in bioinformatics courses offered in life science programs, and does not require prerequisite courses in the life sciences.

Discovery informatics in biological and biomedical sciences: research challenges and opportunities.

Science.gov (United States)

Honavar, Vasant

2015-01-01

New discoveries in biological, biomedical and health sciences are increasingly being driven by our ability to acquire, share, integrate and analyze, and construct and simulate predictive models of biological systems. While much attention has focused on automating routine aspects of management and analysis of "big data", realizing the full potential of "big data" to accelerate discovery calls for automating many other aspects of the scientific process that have so far largely resisted automation: identifying gaps in the current state of knowledge; generating and prioritizing questions; designing studies; designing, prioritizing, planning, and executing experiments; interpreting results; forming hypotheses; drawing conclusions; replicating studies; validating claims; documenting studies; communicating results; reviewing results; and integrating results into the larger body of knowledge in a discipline. Against this background, the PSB workshop on Discovery Informatics in Biological and Biomedical Sciences explores the opportunities and challenges of automating discovery or assisting humans in discovery through advances (i) Understanding, formalization, and information processing accounts of, the entire scientific process; (ii) Design, development, and evaluation of the computational artifacts (representations, processes) that embody such understanding; and (iii) Application of the resulting artifacts and systems to advance science (by augmenting individual or collective human efforts, or by fully automating science).

Applications of computational intelligence in biomedical technology

CERN Document Server

Majernik, Jaroslav; Pancerz, Krzysztof; Zaitseva, Elena

2016-01-01

This book presents latest results and selected applications of Computational Intelligence in Biomedical Technologies. Most of contributions deal with problems of Biomedical and Medical Informatics, ranging from theoretical considerations to practical applications. Various aspects of development methods and algorithms in Biomedical and Medical Informatics as well as Algorithms for medical image processing, modeling methods are discussed. Individual contributions also cover medical decision making support, estimation of risks of treatments, reliability of medical systems, problems of practical clinical applications and many other topics  This book is intended for scientists interested in problems of Biomedical Technologies, for researchers and academic staff, for all dealing with Biomedical and Medical Informatics, as well as PhD students. Useful information is offered also to IT companies, developers of equipment and/or software for medicine and medical professionals.  .

Nigerian Journal of Health and Biomedical Sciences: Editorial Policies

African Journals Online (AJOL)

Biomedical Engineering Biotechnology in relation to Medicine Clinical Sciences Dental Sciences Environment and Health Health Economics and Management Health Information Management Hygiene and Health Education Legal Aspects of Healthcare Medical Education Nursing Sciences Pharmaceutical Sciences

The Impact of Regulating Social Science Research with Biomedical Regulations

Science.gov (United States)

Durosinmi, Brenda Braxton

2011-01-01

The Impact of Regulating Social Science Research with Biomedical Regulations Since 1974 Federal regulations have governed the use of human subjects in biomedical and social science research. The regulations are known as the Federal Policy for the Protection of Human Subjects, and often referred to as the "Common Rule" because 18 Federal…

Science communication in the field of fundamental biomedical research (editorial).

Science.gov (United States)

Illingworth, Sam; Prokop, Andreas

2017-10-01

The aim of this special issue on science communication is to inspire and help scientists who are taking part or want to take part in science communication and engage with the wider public, clinicians, other scientists or policy makers. For this, some articles provide concise and accessible advice to individual scientists, science networks, or learned societies on how to communicate effectively; others share rationales, objectives and aims, experiences, implementation strategies and resources derived from existing long-term science communication initiatives. Although this issue is primarily addressing scientists working in the field of biomedical research, much of it similarly applies to scientists from other disciplines. Furthermore, we hope that this issue will also be used as a helpful resource by academic science communicators and social scientists, as a collection that highlights some of the major communication challenges that the biomedical sciences face, and which provides interesting case studies of initiatives that use a breadth of strategies to address these challenges. In this editorial, we first discuss why we should communicate our science and contemplate some of the different approaches, aspirations and definitions of science communication. We then address the specific challenges that researchers in the biomedical sciences are faced with when engaging with wider audiences. Finally, we explain the rationales and contents of the different articles in this issue and the various science communication initiatives and strategies discussed in each of them, whilst also providing some information on the wide range of further science communication activities in the biomedical sciences that could not all be covered here. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

The BioIntelligence Framework: a new computational platform for biomedical knowledge computing.

Science.gov (United States)

Farley, Toni; Kiefer, Jeff; Lee, Preston; Von Hoff, Daniel; Trent, Jeffrey M; Colbourn, Charles; Mousses, Spyro

2013-01-01

Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information.

Biomedical Engineering | Classification | College of Engineering & Applied

Science.gov (United States)

Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Energy Doctoral Programs in Engineering Non-Degree Candidate Departments Biomedical Engineering Biomedical Engineering Industry Advisory Council Civil & Environmental Engineering Civil &

Nigerian Journal of Health and Biomedical Sciences

African Journals Online (AJOL)

The Nigerian Journal of Health and Biomedical Sciences is a multidisciplinary and peer-reviewed journal. This journal was established to meet the challenges of health care delivery in the 21st century in Nigeria and other countries with similar setting in the ever-changing world of science and technology. The health care ...

Some Aspects of the State-of-the-Arts in Biomedical Science ...

African Journals Online (AJOL)

Summary: In the biomedical sciences, there is need to generate solutions for Africa's health and economic problems through the impact of university research. To guide organizational transformation, the author here presents some aspects of the state-of-the-arts of biomedical science research in advanced countries using a ...

Graduate Experience in Science Education: the development of a science education course for biomedical science graduate students.

Science.gov (United States)

Markowitz, Dina G; DuPré, Michael J

2007-01-01

The University of Rochester's Graduate Experience in Science Education (GESE) course familiarizes biomedical science graduate students interested in pursuing academic career tracks with a fundamental understanding of some of the theory, principles, and concepts of science education. This one-semester elective course provides graduate students with practical teaching and communication skills to help them better relate science content to, and increase their confidence in, their own teaching abilities. The 2-h weekly sessions include an introduction to cognitive hierarchies, learning styles, and multiple intelligences; modeling and coaching some practical aspects of science education pedagogy; lesson-planning skills; an introduction to instructional methods such as case studies and problem-based learning; and use of computer-based instructional technologies. It is hoped that the early development of knowledge and skills about teaching and learning will encourage graduate students to continue their growth as educators throughout their careers. This article summarizes the GESE course and presents evidence on the effectiveness of this course in providing graduate students with information about teaching and learning that they will use throughout their careers.

Biomedical Engineering and Cognitive Science Secondary Science Curriculum Development: A Three Year Study

Science.gov (United States)

Klein, Stacy S.; Sherwood, Robert D.

2005-01-01

This study reports on a multi-year effort to create and evaluate cognitive-based curricular materials for secondary school science classrooms. A team of secondary teachers, educational researchers, and academic biomedical engineers developed a series of curriculum units that are based in biomedical engineering for secondary level students in…

Differential equation analysis in biomedical science and engineering ordinary differential equation applications with R

CERN Document Server

Schiesser, William E

2014-01-01

Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-by-step approach to solving ordinary differential equations (ODEs), Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R successfully applies computational techniques for solving real-worldODE problems that are found in a variety of fields, including chemistry, physics, biology,and physiology. The book provides readers with the necessary knowledge to reproduce andextend the comp

How can we improve Science, Technology, Engineering, and Math education to encourage careers in Biomedical and Pathology Informatics?

Science.gov (United States)

Uppal, Rahul; Mandava, Gunasheil; Romagnoli, Katrina M; King, Andrew J; Draper, Amie J; Handen, Adam L; Fisher, Arielle M; Becich, Michael J; Dutta-Moscato, Joyeeta

2016-01-01

The Computer Science, Biology, and Biomedical Informatics (CoSBBI) program was initiated in 2011 to expose the critical role of informatics in biomedicine to talented high school students.[1] By involving them in Science, Technology, Engineering, and Math (STEM) training at the high school level and providing mentorship and research opportunities throughout the formative years of their education, CoSBBI creates a research infrastructure designed to develop young informaticians. Our central premise is that the trajectory necessary to be an expert in the emerging fields of biomedical informatics and pathology informatics requires accelerated learning at an early age.In our 4(th) year of CoSBBI as a part of the University of Pittsburgh Cancer Institute (UPCI) Academy (http://www.upci.upmc.edu/summeracademy/), and our 2nd year of CoSBBI as an independent informatics-based academy, we enhanced our classroom curriculum, added hands-on computer science instruction, and expanded research projects to include clinical informatics. We also conducted a qualitative evaluation of the program to identify areas that need improvement in order to achieve our goal of creating a pipeline of exceptionally well-trained applicants for both the disciplines of pathology informatics and biomedical informatics in the era of big data and personalized medicine.

How can we improve Science, Technology, Engineering, and Math education to encourage careers in Biomedical and Pathology Informatics?

Directory of Open Access Journals (Sweden)

Rahul Uppal

2016-01-01

Full Text Available The Computer Science, Biology, and Biomedical Informatics (CoSBBI program was initiated in 2011 to expose the critical role of informatics in biomedicine to talented high school students.[1] By involving them in Science, Technology, Engineering, and Math (STEM training at the high school level and providing mentorship and research opportunities throughout the formative years of their education, CoSBBI creates a research infrastructure designed to develop young informaticians. Our central premise is that the trajectory necessary to be an expert in the emerging fields of biomedical informatics and pathology informatics requires accelerated learning at an early age.In our 4th year of CoSBBI as a part of the University of Pittsburgh Cancer Institute (UPCI Academy (http://www.upci.upmc.edu/summeracademy/, and our 2nd year of CoSBBI as an independent informatics-based academy, we enhanced our classroom curriculum, added hands-on computer science instruction, and expanded research projects to include clinical informatics. We also conducted a qualitative evaluation of the program to identify areas that need improvement in order to achieve our goal of creating a pipeline of exceptionally well-trained applicants for both the disciplines of pathology informatics and biomedical informatics in the era of big data and personalized medicine.

Scientific conference at the Department of Biomedical Sciences, Russian Academy of Medical Sciences

International Nuclear Information System (INIS)

Rybakova, M.N.

1997-01-01

Review of reports at the scientific conference of the department of biomedical sciences of the Russian Academy of Medical Sciences, held in April, 1997, on the topic of Novel techniques in biomedical studied. Attention was paid to the creation and uses of rapid diagnosis instruments in micro devices, to the development of electron-photon, immuno enzyme and radionuclide techniques and their realization in automatic special equipment. Delay of native industry in creation of scientific-capacious highly efficient products, especially in the field of radiodiagnosis and instruments for laboratory studies was marked

Computational biomechanics for medicine fundamental science and patient-specific applications

CERN Document Server

Miller, Karol; Wittek, Adam; Nielsen, Poul

2014-01-01

One of the greatest challenges facing the computational engineering community is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, the biomedical sciences, and medicine. The Computational Biomechanics for Medicine titles provide an opportunity for specialists in computational biomechanics to present their latest methodologies and advancements. This latest installment comprises nine of the latest developments in both fundamental science and patient-specific applications, from researchers in Australia, New Zealand, USA, UK, France, Ireland, and China. Some of the interesting topics discussed are: cellular mechanics; tumor growth and modeling; medical image analysis; and both patient-specific fluid dynamics and solid mechanics simulations.

78 FR 22622 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2013-04-16

... DEPARTMENT OF VETERANS AFFAIRS Joint Biomedical Laboratory Research and Development and Clinical... the panels of the Joint Biomedical Laboratory Research and Development and Clinical Science Research... biomedical, behavioral and clinical science research. The panel meetings will be open to the public for...

77 FR 64598 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2012-10-22

... DEPARTMENT OF VETERANS AFFAIRS Joint Biomedical Laboratory Research and Development and Clinical...) that the panels of the Joint Biomedical Laboratory Research and Development and Clinical Science... areas of biomedical, behavioral and clinical science research. The panel meetings will be open to the...

Differential equation analysis in biomedical science and engineering partial differential equation applications with R

CERN Document Server

Schiesser, William E

2014-01-01

Features a solid foundation of mathematical and computational tools to formulate and solve real-world PDE problems across various fields With a step-by-step approach to solving partial differential equations (PDEs), Differential Equation Analysis in Biomedical Science and Engineering: Partial Differential Equation Applications with R successfully applies computational techniques for solving real-world PDE problems that are found in a variety of fields, including chemistry, physics, biology, and physiology. The book provides readers with the necessary knowledge to reproduce and extend the com

Translational science matters: forging partnerships between biomedical and behavioral science to advance the public's health.

Science.gov (United States)

Mensah, George A; Czajkowski, Susan M

2018-03-29

The prevention and effective treatment of many chronic diseases such as cardiovascular disease, cancer and diabetes are dependent on behaviors such as not smoking, adopting a physically-active lifestyle, eating a healthy diet, and adhering to prescribed medical and behavioral regimens. Yet adoption and maintenance of these behaviors pose major challenges for individuals, their families and communities, as well as clinicians and health care systems. These challenges can best be met through the integration of the biomedical and behavioral sciences that is achieved by the formation of strategic partnerships between researchers and practitioners in these disciplines to address pressing clinical and public health problems. The National Institutes of Health has supported a number of clinical trials and research initiatives that demonstrate the value of biomedical and behavioral science partnerships in translating fundamental discoveries into significant improvements in health outcomes. We review several such examples of collaborations between biomedical and behavioral researchers, describe key initiatives focused on advancing a transdisciplinary translational perspective, and outline areas which require insights, tools and findings from both the biomedical and behavioral sciences to advance the public's health.

Computational Fluid Dynamics Methods and Their Applications in Medical Science

Directory of Open Access Journals (Sweden)

Kowalewski Wojciech

2016-12-01

Full Text Available As defined by the National Institutes of Health: “Biomedical engineering integrates physical, chemical, mathematical, and computational sciences and engineering principles to study biology, medicine, behavior, and health”. Many issues in this area are closely related to fluid dynamics. This paper provides an overview of the basic concepts concerning Computational Fluid Dynamics and its applications in medicine.

Biomedical Engineering

CERN Document Server

Suh, Sang C; Tanik, Murat M

2011-01-01

Biomedical Engineering: Health Care Systems, Technology and Techniques is an edited volume with contributions from world experts. It provides readers with unique contributions related to current research and future healthcare systems. Practitioners and researchers focused on computer science, bioinformatics, engineering and medicine will find this book a valuable reference.

Facilities available for biomedical science research in the public universities in Lagos, Nigeria.

Science.gov (United States)

John, T A

2010-03-01

Across the world, basic medical scientists and physician scientists work on common platforms in state-of-the-arts laboratories doing translational research that occasionally results in bedside application. Biotechnology industries capitalise on useful findings for colossal profit.1 In Nigeria and the rest of Africa, biomedical science has not thrived and the contribution of publications to global high impact journals is low.2 This work investigated facilities available for modern biomedical research in Lagos public universities to extract culprit factors. The two public universities in Lagos, Nigeria were investigated by a cross sectional questionnaire survey of the technical staff manning biomedical science departments. They were asked about availability of 47 modern biomedical science research laboratory components such as cold room and microscopes and six research administration components such as director of research and grants administration. For convenient basic laboratory components such as autoclaves and balances, 50% responses indicated "well maintained and always functional" whereas for less convenient complex, high maintenance, state-of-the-arts equipment 19% responses indicated "well maintained and always functional." Respondents indicated that components of modern biomedical science research administration were 44% of expectation. The survey reveal a deficit in state-of the-arts research equipment and also a deficit in high maintenance, expensive equipment indicating that biomedical science in the investigated environment lacks the momentum of global trends and also lacks buoyant funding. In addition, administration supporting biomedical science is below expectation and may also account for the low contributions of research articles to global high impact journals.

Advances in biomedical engineering

CERN Document Server

Brown, J H U

1973-01-01

Advances in Biomedical Engineering, Volume 2, is a collection of papers that discusses the basic sciences, the applied sciences of engineering, the medical sciences, and the delivery of health services. One paper discusses the models of adrenal cortical control, including the secretion and metabolism of cortisol (the controlled process), as well as the initiation and modulation of secretion of ACTH (the controller). Another paper discusses hospital computer systems-application problems, objective evaluation of technology, and multiple pathways for future hospital computer applications. The pos

Journal of Medical and Biomedical Sciences: Editorial Policies

African Journals Online (AJOL)

Focus and Scope. Journal of Medical and Biomedical Science publishes original, novel, peer-reviewed reports that pertain to medical and allied health sciences; confirmatory reports of previously described phenomena that either contain a novel finding or are of such magnitude to enhance the field; as well as laboratory or ...

Blended learning as an effective pedagogical paradigm for biomedical science

Directory of Open Access Journals (Sweden)

Perry Hartfield

2013-11-01

Full Text Available Blended learning combines face-to-face class based and online teaching and learning delivery in order to increase flexibility in how, when, and where students study and learn. The development, integration, and promotion of blended learning in frameworks of curriculum design can optimize the opportunities afforded by information and communication technologies and, concomitantly, accommodate a broad range of student learning styles. This study critically reviews the potential benefits of blended learning as a progressive educative paradigm for the teaching of biomedical science and evaluates the opportunities that blended learning offers for the delivery of accessible, flexible and sustainable teaching and learning experiences. A central tenet of biomedical science education at the tertiary level is the development of comprehensive hands-on practical competencies and technical skills (many of which require laboratory-based learning environments, and it is advanced that a blended learning model, which combines face-to-face synchronous teaching and learning activities with asynchronous online teaching and learning activities, effectively creates an authentic, enriching, and student-centred learning environment for biomedical science. Lastly, a blending learning design for introductory biochemistry will be described as an effective example of integrating face-to-face and online teaching, learning and assessment activities within the teaching domain of biomedical science.   DOI: 10.18870/hlrc.v3i4.169

Eleven quick tips for architecting biomedical informatics workflows with cloud computing

Science.gov (United States)

Moore, Jason H.

2018-01-01

Cloud computing has revolutionized the development and operations of hardware and software across diverse technological arenas, yet academic biomedical research has lagged behind despite the numerous and weighty advantages that cloud computing offers. Biomedical researchers who embrace cloud computing can reap rewards in cost reduction, decreased development and maintenance workload, increased reproducibility, ease of sharing data and software, enhanced security, horizontal and vertical scalability, high availability, a thriving technology partner ecosystem, and much more. Despite these advantages that cloud-based workflows offer, the majority of scientific software developed in academia does not utilize cloud computing and must be migrated to the cloud by the user. In this article, we present 11 quick tips for architecting biomedical informatics workflows on compute clouds, distilling knowledge gained from experience developing, operating, maintaining, and distributing software and virtualized appliances on the world’s largest cloud. Researchers who follow these tips stand to benefit immediately by migrating their workflows to cloud computing and embracing the paradigm of abstraction. PMID:29596416

Eleven quick tips for architecting biomedical informatics workflows with cloud computing.

Science.gov (United States)

Cole, Brian S; Moore, Jason H

2018-03-01

Cloud computing has revolutionized the development and operations of hardware and software across diverse technological arenas, yet academic biomedical research has lagged behind despite the numerous and weighty advantages that cloud computing offers. Biomedical researchers who embrace cloud computing can reap rewards in cost reduction, decreased development and maintenance workload, increased reproducibility, ease of sharing data and software, enhanced security, horizontal and vertical scalability, high availability, a thriving technology partner ecosystem, and much more. Despite these advantages that cloud-based workflows offer, the majority of scientific software developed in academia does not utilize cloud computing and must be migrated to the cloud by the user. In this article, we present 11 quick tips for architecting biomedical informatics workflows on compute clouds, distilling knowledge gained from experience developing, operating, maintaining, and distributing software and virtualized appliances on the world's largest cloud. Researchers who follow these tips stand to benefit immediately by migrating their workflows to cloud computing and embracing the paradigm of abstraction.

Eleven quick tips for architecting biomedical informatics workflows with cloud computing.

Directory of Open Access Journals (Sweden)

Brian S Cole

2018-03-01

Full Text Available Cloud computing has revolutionized the development and operations of hardware and software across diverse technological arenas, yet academic biomedical research has lagged behind despite the numerous and weighty advantages that cloud computing offers. Biomedical researchers who embrace cloud computing can reap rewards in cost reduction, decreased development and maintenance workload, increased reproducibility, ease of sharing data and software, enhanced security, horizontal and vertical scalability, high availability, a thriving technology partner ecosystem, and much more. Despite these advantages that cloud-based workflows offer, the majority of scientific software developed in academia does not utilize cloud computing and must be migrated to the cloud by the user. In this article, we present 11 quick tips for architecting biomedical informatics workflows on compute clouds, distilling knowledge gained from experience developing, operating, maintaining, and distributing software and virtualized appliances on the world's largest cloud. Researchers who follow these tips stand to benefit immediately by migrating their workflows to cloud computing and embracing the paradigm of abstraction.

Multiscale computer modeling in biomechanics and biomedical engineering

CERN Document Server

2013-01-01

This book reviews the state-of-the-art in multiscale computer modeling, in terms of both accomplishments and challenges. The information in the book is particularly useful for biomedical engineers, medical physicists and researchers in systems biology, mathematical biology, micro-biomechanics and biomaterials who are interested in how to bridge between traditional biomedical engineering work at the organ and tissue scales, and the newer arenas of cellular and molecular bioengineering.

Computer vision for biomedical image applications. Proceedings

Energy Technology Data Exchange (ETDEWEB)

Liu, Yanxi [Carnegie Mellon Univ., Pittsburgh, PA (United States). School of Computer Science, The Robotics Institute; Jiang, Tianzi [Chinese Academy of Sciences, Beijing (China). National Lab. of Pattern Recognition, Inst. of Automation; Zhang, Changshui (eds.) [Tsinghua Univ., Beijing, BJ (China). Dept. of Automation

2005-07-01

This book constitutes the refereed proceedings of the First International Workshop on Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends, CVBIA 2005, held in Beijing, China, in October 2005 within the scope of ICCV 20. (orig.)

78 FR 28292 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2013-05-14

... DEPARTMENT OF VETERANS AFFAIRS Joint Biomedical Laboratory Research and Development and Clinical Science Research and Development Services Scientific Merit Review Board; Notice of Meetings; Amendment The... Joint Biomedical Laboratory Research and Development and Clinical Science Research and Development...

The rolling evolution of biomedical science as an essential tool in modern clinical practice.

Science.gov (United States)

Blann, Andrew

2016-01-01

The British Journal of Biomedical Science is committed to publishing high-quality original research that represents a clear advance in the practice of biomedical science, and reviews that summarise recent advances in the field of biomedical science. The overall aim of the Journal is to provide a platform for the dissemination of new and innovative information on the diagnosis and management of disease that is valuable to the practicing laboratory scientist. The Editorial that follows describes the Journal and provides a perspective of its aims and objectives.

Application of infrared to biomedical sciences

CERN Document Server

Etehadtavakol, Mahnaz

2017-01-01

The book covers the latest updates in the application of infrared to biomedical sciences, a non-invasive, contactless, safe and easy approach imaging of skin and tissue temperatures. Its diagnostic procedure allows practitioners to identify the locations of abnormal chemical and blood vessel activity such as angiogenesis in body tissue. Its non-invasive approach works by applying the technology of the infrared camera and state-of-the-art software, where high-resolution digital infrared imaging technology benefits highly from enhanced image production, standardized image interpretation protocols, computerized comparison and storage, and sophisticated image enhancement and analysis. The book contains contributions from global prominent scientists in the area of infrared applications in biomedical studies. The target audience includes academics, practitioners, clinicians and students working in the area of infrared imaging in biomedicine.

Important techniques in today's biomedical science research that ...

African Journals Online (AJOL)

olayemitoyin

Keywords: Techniques, Biomedical Science, PhD, Research. ©Physiological Society ..... in mind that to publish a good scientific research paper in a high ..... New. Table 6. Key statistical methods and software utilized in the 33 research articles ...

78 FR 66992 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2013-11-07

... DEPARTMENT OF VETERANS AFFAIRS Joint Biomedical Laboratory Research and Development and Clinical... the panels of the Joint Biomedical Laboratory Research and Development and Clinical Science Research..., behavioral, and clinical science research. The panel meetings will be open to the public for approximately...

Computer literacy and E-learning perception in Cameroon: the case of Yaounde Faculty of Medicine and Biomedical Sciences.

Science.gov (United States)

Bediang, Georges; Stoll, Beat; Geissbuhler, Antoine; Klohn, Axel M; Stuckelberger, Astrid; Nko'o, Samuel; Chastonay, Philippe

2013-04-19

Health science education faces numerous challenges: assimilation of knowledge, management of increasing numbers of learners or changes in educational models and methodologies. With the emergence of e-learning, the use of information and communication technologies (ICT) and Internet to improve teaching and learning in health science training institutions has become a crucial issue for low and middle income countries, including sub-Saharan Africa. In this perspective, the Faculty of Medicine and Biomedical Sciences (FMBS) of Yaoundé has played a pioneering role in Cameroon in making significant efforts to improve students' and lecturers' access to computers and to Internet on its campus.The objective is to investigate how computer literacy and the perception towards e-learning and its potential could contribute to the learning and teaching process within the FMBS academic community. A cross-sectional survey was carried out among students, residents and lecturers. The data was gathered through a written questionnaire distributed at FMBS campus and analysed with routine statistical software. 307 participants answered the questionnaire: 218 students, 57 residents and 32 lecturers. Results show that most students, residents and lecturers have access to computers and Internet, although students' access is mainly at home for computers and at cyber cafés for Internet. Most of the participants have a fairly good mastery of ICT. However, some basic rules of good practices concerning the use of ICT in the health domain were still not well known. Google is the most frequently used engine to retrieve health literature for all participants; only 7% of students and 16% of residents have heard about Medical Subject Headings (MeSH).The potential of e-learning in the improvement of teaching and learning still remains insufficiently exploited. About two thirds of the students are not familiar with the concept of e-leaning. 84% of students and 58% of residents had never had access to

Reaching Consensus on Essential Biomedical Science Learning Objectives in a Dental Curriculum.

Science.gov (United States)

Best, Leandra; Walton, Joanne N; Walker, Judith; von Bergmann, HsingChi

2016-04-01

This article describes how the University of British Columbia Faculty of Dentistry reached consensus on essential basic biomedical science objectives for DMD students and applied the information to the renewal of its DMD curriculum. The Delphi Method was used to build consensus among dental faculty members and students regarding the relevance of over 1,500 existing biomedical science objectives. Volunteer panels of at least three faculty members (a basic scientist, a general dentist, and a dental specialist) and a fourth-year dental student were formed for each of 13 biomedical courses in the first two years of the program. Panel members worked independently and anonymously, rating each course objective as "need to know," "nice to know," "irrelevant," or "don't know." Panel members were advised after each round which objectives had not yet achieved a 75% consensus and were asked to reconsider their ratings. After a maximum of three rounds to reach consensus, a second group of faculty experts reviewed and refined the results to establish the biomedical science objectives for the renewed curriculum. There was consensus on 46% of the learning objectives after round one, 80% after round two, and 95% after round three. The second expert group addressed any remaining objectives as part of its review process. Only 47% of previous biomedical science course objectives were judged to be essential or "need to know" for the general dentist. The consensus reached by participants in the Delphi Method panels and a second group of faculty experts led to a streamlined, better integrated DMD curriculum to prepare graduates for future practice.

Important techniques in today's biomedical science research that ...

African Journals Online (AJOL)

The need for best evidence has driven researchers into multidisciplinary, collaborative approaches which have become mainstay in today's biomedical science. The multidisciplinary and collaborative approaches to research in research-intensive academic medical centres in the USA and in other countries of affluence has ...

Biomedical Visual Computing: Case Studies and Challenges

KAUST Repository

Johnson, Christopher

2012-01-01

Advances in computational geometric modeling, imaging, and simulation let researchers build and test models of increasing complexity, generating unprecedented amounts of data. As recent research in biomedical applications illustrates, visualization will be critical in making this vast amount of data usable; it's also fundamental to understanding models of complex phenomena. © 2012 IEEE.

The use of AMS to the biomedical sciences

International Nuclear Information System (INIS)

Vogel, J.S.

1991-04-01

The Center for Accelerator Mass Spectroscopy (AMS) began making AMS measurements in 1989. Biomedical experiments were originally limited by sample preparation techniques, but we expect the number of biomedical samples to increase five-fold. While many of the detailed techniques for making biomedical measurements resemble those used in other fields, biological tracer experiments differ substantially from the observational approaches of earth science investigators. The role of xenobiotius in initiating mutations in cells is of particular interest. One measure of the damage caused to the genetic material is obtained by counting the number of adducts formed by a chemical agent at a given dose. AMS allows direct measurement of the number of adducts through stoichiometric quantification of the 14 C label attached to the DNA after exposure to a labelled carcinogen. Other isotopes of interest include tritium, 36 Cl, 79 SE, 41 Ca, 26 Al and 129 I. Our experiments with low dose environmental carcinogens reflect the protocols which will become a common part of biomedical AMS. In biomedical experiments, the researcher defines the carbon to be analyzed through dissection and/or chemical purification; thus the sample is ''merely'' combusted and graphitized at the AMS facility. However, since biomedical samples can have a 14 C range of five orders of magnitude, preparation of graphite required construction of a special manifold to prevent cross-contamination. Additionally, a strain of 14 C-depleted C57BL/6 mice is being developed to further reduce background in biomedical experiments. AMS has a bright and diverse future in radioisotope tracing. Such work requires a dedicated amalgamation of AMS scientists and biomedical researchers who will redesign experimental protocols to maximize the AMS technique and minimize the danger of catastrophic contamination. 18 refs., 4 figs., 1 tab

Publications in biomedical and environmental sciences programs, 1982

Energy Technology Data Exchange (ETDEWEB)

Moody, J.B. (comp.)

1983-04-01

This bibliography contains 725 references to articles in journals, books, and reports published in the subject area of biomedical and environmental sciences during 1982. There are 553 references to articles published in journals and books and 172 references to reports. The citations appear once ordered by the first author's division or by the performing division. Staff members in the Biomedical and Environmental Sciences divisions have other publications not included in this bibliography; for example, theses, book reviews, abstracts published in journals or symposia proceedings, pending journal publications and reports such as monthly, bimonthly, and quarterly progress reports, contractor reports, and reports for internal distribution. This document is sorted by the division, and then alphabetically by author. The sorting by divisions separates the references by subject area in a simple way. The divisions are represented alphabetically. Indexes are provided by author, title, and journal reference. Reprints of articles referenced in this bibliography can be obtained from the author or the author's division.

Publications in biomedical and environmental sciences programs, 1982

International Nuclear Information System (INIS)

Moody, J.B.

1983-04-01

This bibliography contains 725 references to articles in journals, books, and reports published in the subject area of biomedical and environmental sciences during 1982. There are 553 references to articles published in journals and books and 172 references to reports. The citations appear once ordered by the first author's division or by the performing division. Staff members in the Biomedical and Environmental Sciences divisions have other publications not included in this bibliography; for example, theses, book reviews, abstracts published in journals or symposia proceedings, pending journal publications and reports such as monthly, bimonthly, and quarterly progress reports, contractor reports, and reports for internal distribution. This document is sorted by the division, and then alphabetically by author. The sorting by divisions separates the references by subject area in a simple way. The divisions are represented alphabetically. Indexes are provided by author, title, and journal reference. Reprints of articles referenced in this bibliography can be obtained from the author or the author's division

Polydopamine--a nature-inspired polymer coating for biomedical science.

Science.gov (United States)

Lynge, Martin E; van der Westen, Rebecca; Postma, Almar; Städler, Brigitte

2011-12-01

Polymer coatings are of central importance for many biomedical applications. In the past few years, poly(dopamine) (PDA) has attracted considerable interest for various types of biomedical applications. This feature article outlines the basic chemistry and material science regarding PDA and discusses its successful application from coatings for interfacing with cells, to drug delivery and biosensing. Although many questions remain open, the primary aim of this feature article is to illustrate the advent of PDA on its way to become a popular polymer for bioengineering purposes.

Biomedical Visual Computing: Case Studies and Challenges

KAUST Repository

Johnson, Christopher

2012-01-01

Advances in computational geometric modeling, imaging, and simulation let researchers build and test models of increasing complexity, generating unprecedented amounts of data. As recent research in biomedical applications illustrates, visualization will be critical in making this vast amount of data usable; it\\'s also fundamental to understanding models of complex phenomena. © 2012 IEEE.

Camera systems in human motion analysis for biomedical applications

Science.gov (United States)

Chin, Lim Chee; Basah, Shafriza Nisha; Yaacob, Sazali; Juan, Yeap Ewe; Kadir, Aida Khairunnisaa Ab.

2015-05-01

Human Motion Analysis (HMA) system has been one of the major interests among researchers in the field of computer vision, artificial intelligence and biomedical engineering and sciences. This is due to its wide and promising biomedical applications, namely, bio-instrumentation for human computer interfacing and surveillance system for monitoring human behaviour as well as analysis of biomedical signal and image processing for diagnosis and rehabilitation applications. This paper provides an extensive review of the camera system of HMA, its taxonomy, including camera types, camera calibration and camera configuration. The review focused on evaluating the camera system consideration of the HMA system specifically for biomedical applications. This review is important as it provides guidelines and recommendation for researchers and practitioners in selecting a camera system of the HMA system for biomedical applications.

International Conference on Bio-Medical Instrumentation and related Engineering and Physical Sciences (BIOMEP 2015)

Science.gov (United States)

2015-09-01

The International Conference on Bio-Medical Instrumentation and related Engineering and Physical Sciences (BIOMEP 2015) took place in the Technological Educational Institute (TEI) of Athens, Greece on June 18-20, 2015 and was organized by the Department of Biomedical Engineering. The scope of the conference was to provide a forum on the latest developments in Biomedical Instrumentation and related principles of Physical and Engineering sciences. Scientists and engineers from academic, industrial and health disciplines were invited to participate in the Conference and to contribute both in the promotion and dissemination of the scientific knowledge.

15th International Conference on Biomedical Engineering

CERN Document Server

2014-01-01

This volume presents the proceedings of the 15th ICMBE held from 4th to 7th December 2013, Singapore. Biomedical engineering is applied in most aspects of our healthcare ecosystem. From electronic health records to diagnostic tools to therapeutic, rehabilitative and regenerative treatments, the work of biomedical engineers is evident. Biomedical engineers work at the intersection of engineering, life sciences and healthcare. The engineers would use principles from applied science including mechanical, electrical, chemical and computer engineering together with physical sciences including physics, chemistry and mathematics to apply them to biology and medicine. Applying such concepts to the human body is very much the same concepts that go into building and programming a machine. The goal is to better understand, replace or fix a target system to ultimately improve the quality of healthcare. With this understanding, the conference proceedings offer a single platform for individuals and organisations working i...

Computer literacy and E-learning perception in Cameroon: the case of Yaounde Faculty of Medicine and Biomedical Sciences

Science.gov (United States)

2013-01-01

Background Health science education faces numerous challenges: assimilation of knowledge, management of increasing numbers of learners or changes in educational models and methodologies. With the emergence of e-learning, the use of information and communication technologies (ICT) and Internet to improve teaching and learning in health science training institutions has become a crucial issue for low and middle income countries, including sub-Saharan Africa. In this perspective, the Faculty of Medicine and Biomedical Sciences (FMBS) of Yaoundé has played a pioneering role in Cameroon in making significant efforts to improve students’ and lecturers’ access to computers and to Internet on its campus. The objective is to investigate how computer literacy and the perception towards e-learning and its potential could contribute to the learning and teaching process within the FMBS academic community. Method A cross-sectional survey was carried out among students, residents and lecturers. The data was gathered through a written questionnaire distributed at FMBS campus and analysed with routine statistical software. Results 307 participants answered the questionnaire: 218 students, 57 residents and 32 lecturers. Results show that most students, residents and lecturers have access to computers and Internet, although students’ access is mainly at home for computers and at cyber cafés for Internet. Most of the participants have a fairly good mastery of ICT. However, some basic rules of good practices concerning the use of ICT in the health domain were still not well known. Google is the most frequently used engine to retrieve health literature for all participants; only 7% of students and 16% of residents have heard about Medical Subject Headings (MeSH). The potential of e-learning in the improvement of teaching and learning still remains insufficiently exploited. About two thirds of the students are not familiar with the concept of e-leaning. 84% of students and 58% of

The role of real-time in biomedical science: a meta-analysis on computational complexity, delay and speedup.

Science.gov (United States)

Faust, Oliver; Yu, Wenwei; Rajendra Acharya, U

2015-03-01

The concept of real-time is very important, as it deals with the realizability of computer based health care systems. In this paper we review biomedical real-time systems with a meta-analysis on computational complexity (CC), delay (Δ) and speedup (Sp). During the review we found that, in the majority of papers, the term real-time is part of the thesis indicating that a proposed system or algorithm is practical. However, these papers were not considered for detailed scrutiny. Our detailed analysis focused on papers which support their claim of achieving real-time, with a discussion on CC or Sp. These papers were analyzed in terms of processing system used, application area (AA), CC, Δ, Sp, implementation/algorithm (I/A) and competition. The results show that the ideas of parallel processing and algorithm delay were only recently introduced and journal papers focus more on Algorithm (A) development than on implementation (I). Most authors compete on big O notation (O) and processing time (PT). Based on these results, we adopt the position that the concept of real-time will continue to play an important role in biomedical systems design. We predict that parallel processing considerations, such as Sp and algorithm scaling, will become more important. Copyright © 2015 Elsevier Ltd. All rights reserved.

Biomedical cloud computing with Amazon Web Services.

Science.gov (United States)

Fusaro, Vincent A; Patil, Prasad; Gafni, Erik; Wall, Dennis P; Tonellato, Peter J

2011-08-01

In this overview to biomedical computing in the cloud, we discussed two primary ways to use the cloud (a single instance or cluster), provided a detailed example using NGS mapping, and highlighted the associated costs. While many users new to the cloud may assume that entry is as straightforward as uploading an application and selecting an instance type and storage options, we illustrated that there is substantial up-front effort required before an application can make full use of the cloud's vast resources. Our intention was to provide a set of best practices and to illustrate how those apply to a typical application pipeline for biomedical informatics, but also general enough for extrapolation to other types of computational problems. Our mapping example was intended to illustrate how to develop a scalable project and not to compare and contrast alignment algorithms for read mapping and genome assembly. Indeed, with a newer aligner such as Bowtie, it is possible to map the entire African genome using one m2.2xlarge instance in 48 hours for a total cost of approximately $48 in computation time. In our example, we were not concerned with data transfer rates, which are heavily influenced by the amount of available bandwidth, connection latency, and network availability. When transferring large amounts of data to the cloud, bandwidth limitations can be a major bottleneck, and in some cases it is more efficient to simply mail a storage device containing the data to AWS (http://aws.amazon.com/importexport/). More information about cloud computing, detailed cost analysis, and security can be found in references.

75 FR 57833 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2010-09-22

... DEPARTMENT OF VETERANS AFFAIRS Joint Biomedical Laboratory Research and Development and Clinical... the panels of the Joint Biomedical Laboratory Research and Development and Clinical Science Research... Crowne Plaza Clinical Research Program December 3, 2010 *VA Central Office Mental Hlth & Behav Sci-A...

[Dendrimers in biomedical sciences and nanotechnology].

Science.gov (United States)

Sekowski, Szymon; Miłowska, Katarzyna; Gabryelak, Teresa

2008-12-30

Dendrimers are relatively new, hyper-branched polymers that have many interesting abilities. Dendrimers could be used, for example, as drug or gene carriers, contrast agents, sensors for different metal ions, and in developing innovation technology. These spherical polymers are also characterized by pharmacological activity against different bacterial and viral diseases. Dendrimers are currently being intensively investigated as anti-prion and anti-amyloid fibril agents. They can be used to build specific dendrimer films to be applied in modern technology. This review describes different uses of dendrimer particles in biomedical sciences and nanotechnology and shows advantages of their application.

76 FR 19188 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2011-04-06

... DEPARTMENT OF VETERANS AFFAIRS Joint Biomedical Laboratory Research and Development and Clinical... the panels of the Joint Biomedical Laboratory Research and Development and Clinical Science Research.... Neurobiology-D June 10, 2011 Crowne Plaza DC/Silver Spring. Clinical Research Program June 13, 2011 VA Central...

75 FR 23847 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2010-05-04

... DEPARTMENT OF VETERANS AFFAIRS Joint Biomedical Laboratory Research and Development and Clinical... panels of the Joint Biomedical Laboratory Research and Development and Clinical Science Research and... & Behav Sci-A June 7, 2010 L'Enfant Plaza Hotel. Clinical Research Program June 9, 2010 *VA Central Office...

Big Biomedical data as the key resource for discovery science

Energy Technology Data Exchange (ETDEWEB)

Toga, Arthur W.; Foster, Ian; Kesselman, Carl; Madduri, Ravi; Chard, Kyle; Deutsch, Eric W.; Price, Nathan D.; Glusman, Gustavo; Heavner, Benjamin D.; Dinov, Ivo D.; Ames, Joseph; Van Horn, John; Kramer, Roger; Hood, Leroy

2015-07-21

Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an “-ome to home” approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors developed new technological capabilities that make it easy for researchers to manage, aggregate, manipulate, integrate, and model large amounts of distributed data. Guided by biological domain expertise, the Center’s computational resources and software will reveal relationships and patterns, aiding researchers in identifying biomarkers for the most confounding conditions and diseases, such as Parkinson’s and Alzheimer’s.

Biomedical engineering and nanotechnology

International Nuclear Information System (INIS)

Pawar, S.H.; Khyalappa, R.J.; Yakhmi, J.V.

2009-01-01

This book is predominantly a compilation of papers presented in the conference which is focused on the development in biomedical materials, biomedical devises and instrumentation, biomedical effects of electromagnetic radiation, electrotherapy, radiotherapy, biosensors, biotechnology, bioengineering, tissue engineering, clinical engineering and surgical planning, medical imaging, hospital system management, biomedical education, biomedical industry and society, bioinformatics, structured nanomaterial for biomedical application, nano-composites, nano-medicine, synthesis of nanomaterial, nano science and technology development. The papers presented herein contain the scientific substance to suffice the academic directivity of the researchers from the field of biomedicine, biomedical engineering, material science and nanotechnology. Papers relevant to INIS are indexed separately

Bayes' theorem: A paradigm research tool in biomedical sciences ...

African Journals Online (AJOL)

One of the most interesting applications of the results of probability theory involves estimating unknown probability and making decisions on the basis of new (sample) information. Biomedical scientists often use the Bayesian decision theory for the purposes of computing diagnostic values such as sensitivity and specificity ...

76 FR 79273 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2011-12-21

... Science Research and Development Services Scientific Merit Review Board Panel for Eligibility, Notice of... and Clinical Science Research and Development Services Scientific Merit Review Board will meet on... medical specialties within the general areas of biomedical, behavioral, and clinical science research. The...

Integrating Contemplative Tools into Biomedical Science Education and Research Training Programs

Directory of Open Access Journals (Sweden)

Rodney R. Dietert

2014-01-01

Full Text Available Academic preparation of science researchers and/or human or veterinary medicine clinicians through the science, technology, engineering, and mathematics (STEM curriculum has usually focused on the students (1 acquiring increased disciplinary expertise, (2 learning needed methodologies and protocols, and (3 expanding their capacity for intense, persistent focus. Such educational training is effective until roadblocks or problems arise via this highly-learned approach. Then, the health science trainee may have few tools available for effective problem solving. Training to achieve flexibility, adaptability, and broadened perspectives using contemplative practices has been rare among biomedical education programs. To address this gap, a Cornell University-based program involving formal biomedical science coursework, and health science workshops has been developed to offer science students, researchers and health professionals a broader array of personal, contemplation-based, problem-solving tools. This STEM educational initiative includes first-person exercises designed to broaden perceptional awareness, decrease emotional drama, and mobilize whole-body strategies for creative problem solving. Self-calibration and journaling are used for students to evaluate the personal utility of each exercise. The educational goals are to increase student self-awareness and self-regulation and to provide trainees with value-added tools for career-long problem solving. Basic elements of this educational initiative are discussed using the framework of the Tree of Contemplative Practices.

VI Latin American Congress on Biomedical Engineering

CERN Document Server

Hadad, Alejandro

2015-01-01

This volume presents the proceedings of the CLAIB 2014, held in Paraná, Entre Ríos, Argentina 29, 30 & 31 October 2014. The proceedings, presented by the Regional Council of Biomedical Engineering for Latin America (CORAL) offer research findings, experiences and activities between institutions and universities to develop Bioengineering, Biomedical Engineering and related sciences. The conferences of the American Congress of Biomedical Engineering are sponsored by the International Federation for Medical and Biological Engineering (IFMBE), Society for Engineering in Biology and Medicine (EMBS) and the Pan American Health Organization (PAHO), among other organizations and international agencies and bringing together scientists, academics and biomedical engineers in Latin America and other continents in an environment conducive to exchange and professional growth. The Topics include: - Bioinformatics and Computational Biology - Bioinstrumentation; Sensors, Micro and Nano Technologies - Biomaterials, Tissu...

Enhancing Diversity in Biomedical Data Science.

Science.gov (United States)

Canner, Judith E; McEligot, Archana J; Pérez, María-Eglée; Qian, Lei; Zhang, Xinzhi

2017-01-01

The gap in educational attainment separating underrepresented minorities from Whites and Asians remains wide. Such a gap has significant impact on workforce diversity and inclusion among cross-cutting Biomedical Data Science (BDS) research, which presents great opportunities as well as major challenges for addressing health disparities. This article provides a brief description of the newly established National Institutes of Health Big Data to Knowledge (BD2K) diversity initiatives at four universities: California State University, Monterey Bay; Fisk University; University of Puerto Rico, Río Piedras Campus; and California State University, Fullerton. We emphasize three main barriers to BDS careers (ie, preparation, exposure, and access to resources) experienced among those pioneer programs and recommendations for possible solutions (ie, early and proactive mentoring, enriched research experience, and data science curriculum development). The diversity disparities in BDS demonstrate the need for educators, researchers, and funding agencies to support evidence-based practices that will lead to the diversification of the BDS workforce.

Government Cloud Computing Policies: Potential Opportunities for Advancing Military Biomedical Research.

Science.gov (United States)

Lebeda, Frank J; Zalatoris, Jeffrey J; Scheerer, Julia B

2018-02-07

indicated that the security infrastructure in cloud services may be more compliant with the Health Insurance Portability and Accountability Act of 1996 regulations than traditional methods. To gauge the DoD's adoption of cloud technologies proposed metrics included cost factors, ease of use, automation, availability, accessibility, security, and policy compliance. Since 2009, plans and policies were developed for the use of cloud technology to help consolidate and reduce the number of data centers which were expected to reduce costs, improve environmental factors, enhance information technology security, and maintain mission support for service members. Cloud technologies were also expected to improve employee efficiency and productivity. Federal cloud computing policies within the last decade also offered increased opportunities to advance military healthcare. It was assumed that these opportunities would benefit consumers of healthcare and health science data by allowing more access to centralized cloud computer facilities to store, analyze, search and share relevant data, to enhance standardization, and to reduce potential duplications of effort. We recommend that cloud computing be considered by DoD biomedical researchers for increasing connectivity, presumably by facilitating communications and data sharing, among the various intra- and extramural laboratories. We also recommend that policies and other guidances be updated to include developing additional metrics that will help stakeholders evaluate the above mentioned assumptions and expectations. Published by Oxford University Press on behalf of the Association of Military Surgeons of the United States 2018. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Research groups in biomedical sciences. Some recommendations

Directory of Open Access Journals (Sweden)

Ricardo Cardona

2015-07-01

Full Text Available Despite the growing number of scientific publications reflecting a greater number of people interested in the biomedical sciences, many research groups disappear secondary to poor internal organization. From the review of the available literature, we generate a series of recommendations that may be useful for the creation of a research group or to improve the productivity of an existing group. Fluid communication between its members with a common overall policy framework allows the creation of a good foundation that will lead to the consolidation of the group.

Modeling and control in the biomedical sciences

CERN Document Server

Banks, H T

1975-01-01

These notes are based on (i) a series of lectures that I gave at the 14th Biennial Seminar of the Canadian Mathematical Congress held at the University of Western Ontario August 12-24, 1973 and (li) some of my lectures in a modeling course that I have cotaught in the Division of Bio-Medical Sciences at Brown during the past several years. An earlier version of these notes appeared in the Center for Dynamical Systems Lectures Notes series (CDS LN 73-1, November 1973). I have in this revised and extended version of those earlier notes incorporated a number of changes based both on classroom experience and on my research efforts with several colleagues during the intervening period. The narrow viewpoint of the present notes (use of optimization and control theory in biomedical problems) reflects more the scope of the CMC lectures given in August, 1973 than the scope of my own interests. Indeed, my real interests have included the modeling process itself as well as the contributions made by investiga­ tors who e...

Computational Biomechanics Theoretical Background and BiologicalBiomedical Problems

CERN Document Server

Tanaka, Masao; Nakamura, Masanori

2012-01-01

Rapid developments have taken place in biological/biomedical measurement and imaging technologies as well as in computer analysis and information technologies. The increase in data obtained with such technologies invites the reader into a virtual world that represents realistic biological tissue or organ structures in digital form and allows for simulation and what is called “in silico medicine.” This volume is the third in a textbook series and covers both the basics of continuum mechanics of biosolids and biofluids and the theoretical core of computational methods for continuum mechanics analyses. Several biomechanics problems are provided for better understanding of computational modeling and analysis. Topics include the mechanics of solid and fluid bodies, fundamental characteristics of biosolids and biofluids, computational methods in biomechanics analysis/simulation, practical problems in orthopedic biomechanics, dental biomechanics, ophthalmic biomechanics, cardiovascular biomechanics, hemodynamics...

Three-dimensional biomedical imaging

International Nuclear Information System (INIS)

Robb, R.A.

1985-01-01

Scientists in biomedical imaging provide researchers, physicians, and academicians with an understanding of the fundamental theories and practical applications of three-dimensional biomedical imaging methodologies. Succinct descriptions of each imaging modality are supported by numerous diagrams and illustrations which clarify important concepts and demonstrate system performance in a variety of applications. Comparison of the different functional attributes, relative advantages and limitations, complementary capabilities, and future directions of three-dimensional biomedical imaging modalities are given. Volume 1: Introductions to Three-Dimensional Biomedical Imaging Photoelectronic-Digital Imaging for Diagnostic Radiology. X-Ray Computed Tomography - Basic Principles. X-Ray Computed Tomography - Implementation and Applications. X-Ray Computed Tomography: Advanced Systems and Applications in Biomedical Research and Diagnosis. Volume II: Single Photon Emission Computed Tomography. Position Emission Tomography (PET). Computerized Ultrasound Tomography. Fundamentals of NMR Imaging. Display of Multi-Dimensional Biomedical Image Information. Summary and Prognostications

Materials Science & Engineering | Classification | College of Engineering &

Science.gov (United States)

Biomedical Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Energy Doctoral Programs in Engineering Non-Degree Candidate Departments Biomedical Engineering Biomedical Engineering Industry Advisory Council Civil & Environmental Engineering Civil &

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Science.gov (United States)

Imbens, Guido W.; Rubin, Donald B.

2015-01-01

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding…

Sierra Leone Journal of Biomedical Research

African Journals Online (AJOL)

The Sierra Leone Journal of Biomedical Research publishes papers in all fields of Medicine and Allied Health Sciences including Basic Medical Sciences, Clinical Sciences, Dental Sciences, Behavioural Sciences, Biomedical Engineering, Molecular Biology, Pharmaceutical Sciences, Biotechnology in relation to Medicine, ...

The Multi-modal Australian ScienceS Imaging and Visualisation Environment (MASSIVE high performance computing infrastructure: applications in neuroscience and neuroinformatics research

Directory of Open Access Journals (Sweden)

Wojtek James eGoscinski

2014-03-01

Full Text Available The Multi-modal Australian ScienceS Imaging and Visualisation Environment (MASSIVE is a national imaging and visualisation facility established by Monash University, the Australian Synchrotron, the Commonwealth Scientific Industrial Research Organisation (CSIRO, and the Victorian Partnership for Advanced Computing (VPAC, with funding from the National Computational Infrastructure and the Victorian Government. The MASSIVE facility provides hardware, software and expertise to drive research in the biomedical sciences, particularly advanced brain imaging research using synchrotron x-ray and infrared imaging, functional and structural magnetic resonance imaging (MRI, x-ray computer tomography (CT, electron microscopy and optical microscopy. The development of MASSIVE has been based on best practice in system integration methodologies, frameworks, and architectures. The facility has: (i integrated multiple different neuroimaging analysis software components, (ii enabled cross-platform and cross-modality integration of neuroinformatics tools, and (iii brought together neuroimaging databases and analysis workflows. MASSIVE is now operational as a nationally distributed and integrated facility for neuroinfomatics and brain imaging research.

77 FR 26069 - Joint Biomedical Laboratory Research and Development and Clinical Science Research and...

Science.gov (United States)

2012-05-02

... DEPARTMENT OF VETERANS AFFAIRS Joint Biomedical Laboratory Research and Development and Clinical Science Research and Development Services Scientific Merit Review Board, Notice of Meeting Amendment The... Development and Clinical Science Research and Development Services Scientific Merit Review Board have changed...

COMPUTATIONAL SCIENCE CENTER

International Nuclear Information System (INIS)

DAVENPORT, J.

2006-01-01

Computational Science is an integral component of Brookhaven's multi science mission, and is a reflection of the increased role of computation across all of science. Brookhaven currently has major efforts in data storage and analysis for the Relativistic Heavy Ion Collider (RHIC) and the ATLAS detector at CERN, and in quantum chromodynamics. The Laboratory is host for the QCDOC machines (quantum chromodynamics on a chip), 10 teraflop/s computers which boast 12,288 processors each. There are two here, one for the Riken/BNL Research Center and the other supported by DOE for the US Lattice Gauge Community and other scientific users. A 100 teraflop/s supercomputer will be installed at Brookhaven in the coming year, managed jointly by Brookhaven and Stony Brook, and funded by a grant from New York State. This machine will be used for computational science across Brookhaven's entire research program, and also by researchers at Stony Brook and across New York State. With Stony Brook, Brookhaven has formed the New York Center for Computational Science (NYCCS) as a focal point for interdisciplinary computational science, which is closely linked to Brookhaven's Computational Science Center (CSC). The CSC has established a strong program in computational science, with an emphasis on nanoscale electronic structure and molecular dynamics, accelerator design, computational fluid dynamics, medical imaging, parallel computing and numerical algorithms. We have been an active participant in DOES SciDAC program (Scientific Discovery through Advanced Computing). We are also planning a major expansion in computational biology in keeping with Laboratory initiatives. Additional laboratory initiatives with a dependence on a high level of computation include the development of hydrodynamics models for the interpretation of RHIC data, computational models for the atmospheric transport of aerosols, and models for combustion and for energy utilization. The CSC was formed to bring together

Computer science handbook. Vol. 13.3. Environmental computer science. Computer science methods for environmental protection and environmental research

International Nuclear Information System (INIS)

Page, B.; Hilty, L.M.

1994-01-01

Environmental computer science is a new partial discipline of applied computer science, which makes use of methods and techniques of information processing in environmental protection. Thanks to the inter-disciplinary nature of environmental problems, computer science acts as a mediator between numerous disciplines and institutions in this sector. The handbook reflects the broad spectrum of state-of-the art environmental computer science. The following important subjects are dealt with: Environmental databases and information systems, environmental monitoring, modelling and simulation, visualization of environmental data and knowledge-based systems in the environmental sector. (orig.) [de

Computer Science, Biology and Biomedical Informatics academy: Outcomes from 5 years of Immersing High-school Students into Informatics Research.

Science.gov (United States)

King, Andrew J; Fisher, Arielle M; Becich, Michael J; Boone, David N

2017-01-01

The University of Pittsburgh's Department of Biomedical Informatics and Division of Pathology Informatics created a Science, Technology, Engineering, and Mathematics (STEM) pipeline in 2011 dedicated to providing cutting-edge informatics research and career preparatory experiences to a diverse group of highly motivated high-school students. In this third editorial installment describing the program, we provide a brief overview of the pipeline, report on achievements of the past scholars, and present results from self-reported assessments by the 2015 cohort of scholars. The pipeline continues to expand with the 2015 addition of the innovation internship, and the introduction of a program in 2016 aimed at offering first-time research experiences to undergraduates who are underrepresented in pathology and biomedical informatics. Achievements of program scholars include authorship of journal articles, symposium and summit presentations, and attendance at top 25 universities. All of our alumni matriculated into higher education and 90% remain in STEM majors. The 2015 high-school program had ten participating scholars who self-reported gains in confidence in their research abilities and understanding of what it means to be a scientist.

COMPUTATIONAL SCIENCE CENTER

Energy Technology Data Exchange (ETDEWEB)

DAVENPORT, J.

2006-11-01

Computational Science is an integral component of Brookhaven's multi science mission, and is a reflection of the increased role of computation across all of science. Brookhaven currently has major efforts in data storage and analysis for the Relativistic Heavy Ion Collider (RHIC) and the ATLAS detector at CERN, and in quantum chromodynamics. The Laboratory is host for the QCDOC machines (quantum chromodynamics on a chip), 10 teraflop/s computers which boast 12,288 processors each. There are two here, one for the Riken/BNL Research Center and the other supported by DOE for the US Lattice Gauge Community and other scientific users. A 100 teraflop/s supercomputer will be installed at Brookhaven in the coming year, managed jointly by Brookhaven and Stony Brook, and funded by a grant from New York State. This machine will be used for computational science across Brookhaven's entire research program, and also by researchers at Stony Brook and across New York State. With Stony Brook, Brookhaven has formed the New York Center for Computational Science (NYCCS) as a focal point for interdisciplinary computational science, which is closely linked to Brookhaven's Computational Science Center (CSC). The CSC has established a strong program in computational science, with an emphasis on nanoscale electronic structure and molecular dynamics, accelerator design, computational fluid dynamics, medical imaging, parallel computing and numerical algorithms. We have been an active participant in DOES SciDAC program (Scientific Discovery through Advanced Computing). We are also planning a major expansion in computational biology in keeping with Laboratory initiatives. Additional laboratory initiatives with a dependence on a high level of computation include the development of hydrodynamics models for the interpretation of RHIC data, computational models for the atmospheric transport of aerosols, and models for combustion and for energy utilization. The CSC was formed to

Full text clustering and relationship network analysis of biomedical publications.

Directory of Open Access Journals (Sweden)

Renchu Guan

Full Text Available Rapid developments in the biomedical sciences have increased the demand for automatic clustering of biomedical publications. In contrast to current approaches to text clustering, which focus exclusively on the contents of abstracts, a novel method is proposed for clustering and analysis of complete biomedical article texts. To reduce dimensionality, Cosine Coefficient is used on a sub-space of only two vectors, instead of computing the Euclidean distance within the space of all vectors. Then a strategy and algorithm is introduced for Semi-supervised Affinity Propagation (SSAP to improve analysis efficiency, using biomedical journal names as an evaluation background. Experimental results show that by avoiding high-dimensional sparse matrix computations, SSAP outperforms conventional k-means methods and improves upon the standard Affinity Propagation algorithm. In constructing a directed relationship network and distribution matrix for the clustering results, it can be noted that overlaps in scope and interests among BioMed publications can be easily identified, providing a valuable analytical tool for editors, authors and readers.

Full text clustering and relationship network analysis of biomedical publications.

Science.gov (United States)

Guan, Renchu; Yang, Chen; Marchese, Maurizio; Liang, Yanchun; Shi, Xiaohu

2014-01-01

Rapid developments in the biomedical sciences have increased the demand for automatic clustering of biomedical publications. In contrast to current approaches to text clustering, which focus exclusively on the contents of abstracts, a novel method is proposed for clustering and analysis of complete biomedical article texts. To reduce dimensionality, Cosine Coefficient is used on a sub-space of only two vectors, instead of computing the Euclidean distance within the space of all vectors. Then a strategy and algorithm is introduced for Semi-supervised Affinity Propagation (SSAP) to improve analysis efficiency, using biomedical journal names as an evaluation background. Experimental results show that by avoiding high-dimensional sparse matrix computations, SSAP outperforms conventional k-means methods and improves upon the standard Affinity Propagation algorithm. In constructing a directed relationship network and distribution matrix for the clustering results, it can be noted that overlaps in scope and interests among BioMed publications can be easily identified, providing a valuable analytical tool for editors, authors and readers.

COMPUTATIONAL SCIENCE CENTER

Energy Technology Data Exchange (ETDEWEB)

DAVENPORT,J.

2004-11-01

The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers. These opportunities are especially great in computational biology and nanoscience, but extend throughout science and technology and include for example, nuclear and high energy physics, astrophysics, materials and chemical science, sustainable energy, environment, and homeland security.

Big biomedical data as the key resource for discovery science.

Science.gov (United States)

Toga, Arthur W; Foster, Ian; Kesselman, Carl; Madduri, Ravi; Chard, Kyle; Deutsch, Eric W; Price, Nathan D; Glusman, Gustavo; Heavner, Benjamin D; Dinov, Ivo D; Ames, Joseph; Van Horn, John; Kramer, Roger; Hood, Leroy

2015-11-01

Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an "-ome to home" approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors developed new technological capabilities that make it easy for researchers to manage, aggregate, manipulate, integrate, and model large amounts of distributed data. Guided by biological domain expertise, the Center's computational resources and software will reveal relationships and patterns, aiding researchers in identifying biomarkers for the most confounding conditions and diseases, such as Parkinson's and Alzheimer's. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

COMPUTATIONAL SCIENCE CENTER

Energy Technology Data Exchange (ETDEWEB)

DAVENPORT, J.

2005-11-01

The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers. These opportunities are especially great in computational biology and nanoscience, but extend throughout science and technology and include, for example, nuclear and high energy physics, astrophysics, materials and chemical science, sustainable energy, environment, and homeland security. To achieve our goals we have established a close alliance with applied mathematicians and computer scientists at Stony Brook and Columbia Universities.

Democratizing Computer Science

Science.gov (United States)

Margolis, Jane; Goode, Joanna; Ryoo, Jean J.

2015-01-01

Computer science programs are too often identified with a narrow stratum of the student population, often white or Asian boys who have access to computers at home. But because computers play such a huge role in our world today, all students can benefit from the study of computer science and the opportunity to build skills related to computing. The…

Data science, learning, and applications to biomedical and health sciences.

Science.gov (United States)

Adam, Nabil R; Wieder, Robert; Ghosh, Debopriya

2017-01-01

The last decade has seen an unprecedented increase in the volume and variety of electronic data related to research and development, health records, and patient self-tracking, collectively referred to as Big Data. Properly harnessed, Big Data can provide insights and drive discovery that will accelerate biomedical advances, improve patient outcomes, and reduce costs. However, the considerable potential of Big Data remains unrealized owing to obstacles including a limited ability to standardize and consolidate data and challenges in sharing data, among a variety of sources, providers, and facilities. Here, we discuss some of these challenges and potential solutions, as well as initiatives that are already underway to take advantage of Big Data. © 2017 New York Academy of Sciences.

African Journals Online: Environmental Sciences

African Journals Online (AJOL)

Items 1 - 28 of 28 ... African Journals Online: Environmental Sciences ... Anthropology, Technology, Computer Science & Engineering, Veterinary Science ... and Metabolism (AJEM) is a biomedical peer-reviewed journal with international circulation. ... AFRREV STECH: An International Journal of Science and Technology.

[Biomedical informatics].

Science.gov (United States)

Capurro, Daniel; Soto, Mauricio; Vivent, Macarena; Lopetegui, Marcelo; Herskovic, Jorge R

2011-12-01

Biomedical Informatics is a new discipline that arose from the need to incorporate information technologies to the generation, storage, distribution and analysis of information in the domain of biomedical sciences. This discipline comprises basic biomedical informatics, and public health informatics. The development of the discipline in Chile has been modest and most projects have originated from the interest of individual people or institutions, without a systematic and coordinated national development. Considering the unique features of health care system of our country, research in the area of biomedical informatics is becoming an imperative.

Computational Materials Science | Materials Science | NREL

Science.gov (United States)

Computational Materials Science Computational Materials Science An image of interconnecting, sphere science capabilities span many research fields and interests. Electronic, Optical, and Transport Properties of Photovoltaic Materials Material properties and defect physics of Si, CdTe, III-V, CIGS, CZTS

Research Labs | College of Engineering & Applied Science

Science.gov (United States)

Engineering Multimedia Software Laboratory Computer Science Nanotechnology for Sustainable Energy and Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Energy Doctoral Programs in Engineering Non-Degree Candidate Departments Biomedical Engineering

Computer sciences

Science.gov (United States)

Smith, Paul H.

1988-01-01

The Computer Science Program provides advanced concepts, techniques, system architectures, algorithms, and software for both space and aeronautics information sciences and computer systems. The overall goal is to provide the technical foundation within NASA for the advancement of computing technology in aerospace applications. The research program is improving the state of knowledge of fundamental aerospace computing principles and advancing computing technology in space applications such as software engineering and information extraction from data collected by scientific instruments in space. The program includes the development of special algorithms and techniques to exploit the computing power provided by high performance parallel processors and special purpose architectures. Research is being conducted in the fundamentals of data base logic and improvement techniques for producing reliable computing systems.

Leading change: curriculum reform in graduate education in the biomedical sciences.

Science.gov (United States)

Dasgupta, Shoumita; Symes, Karen; Hyman, Linda

2015-01-01

The Division of Graduate Medical Sciences at the Boston University School of Medicine houses numerous dynamic graduate programs. Doctoral students began their studies with laboratory rotations and classroom training in a variety of fundamental disciplines. Importantly, with 15 unique pathways of admission to these doctoral programs, there were also 15 unique curricula. Departments and programs offered courses independently, and students participated in curricula that were overlapping combinations of these courses. This system created curricula that were not coordinated and that had redundant course content as well as content gaps. A partnership of key stakeholders began a curriculum reform process to completely restructure doctoral education at the Boston University School of Medicine. The key pedagogical goals, objectives, and elements designed into the new curriculum through this reform process created a curriculum designed to foster the interdisciplinary thinking that students are ultimately asked to utilize in their research endeavors. We implemented comprehensive student and peer evaluation of the new Foundations in Biomedical Sciences integrated curriculum to assess the new curriculum. Furthermore, we detail how this process served as a gateway toward creating a more fully integrated graduate experience, under the umbrella of the Program in Biomedical Sciences. © 2015 The International Union of Biochemistry and Molecular Biology.

Fundamental of biomedical engineering

CERN Document Server

Sawhney, GS

2007-01-01

About the Book: A well set out textbook explains the fundamentals of biomedical engineering in the areas of biomechanics, biofluid flow, biomaterials, bioinstrumentation and use of computing in biomedical engineering. All these subjects form a basic part of an engineer''s education. The text is admirably suited to meet the needs of the students of mechanical engineering, opting for the elective of Biomedical Engineering. Coverage of bioinstrumentation, biomaterials and computing for biomedical engineers can meet the needs of the students of Electronic & Communication, Electronic & Instrumenta

Computer science, biology and biomedical informatics academy: outcomes from 5 years of immersing high-school students into informatics research

Directory of Open Access Journals (Sweden)

Andrew J King

2017-01-01

Full Text Available The University of Pittsburgh's Department of Biomedical Informatics and Division of Pathology Informatics created a Science, Technology, Engineering, and Mathematics (STEM pipeline in 2011 dedicated to providing cutting-edge informatics research and career preparatory experiences to a diverse group of highly motivated high-school students. In this third editorial installment describing the program, we provide a brief overview of the pipeline, report on achievements of the past scholars, and present results from self-reported assessments by the 2015 cohort of scholars. The pipeline continues to expand with the 2015 addition of the innovation internship, and the introduction of a program in 2016 aimed at offering first-time research experiences to undergraduates who are underrepresented in pathology and biomedical informatics. Achievements of program scholars include authorship of journal articles, symposium and summit presentations, and attendance at top 25 universities. All of our alumni matriculated into higher education and 90% remain in STEM majors. The 2015 high-school program had ten participating scholars who self-reported gains in confidence in their research abilities and understanding of what it means to be a scientist.

Should MD-PhD programs encourage graduate training in disciplines beyond conventional biomedical or clinical sciences?

Science.gov (United States)

O'Mara, Ryan J; Hsu, Stephen I; Wilson, Daniel R

2015-02-01

The goal of MD-PhD training programs is to produce physician-scientists with unique capacities to lead the future biomedical research workforce. The current dearth of physician-scientists with expertise outside conventional biomedical or clinical sciences raises the question of whether MD-PhD training programs should allow or even encourage scholars to pursue doctoral studies in disciplines that are deemed nontraditional, yet are intrinsically germane to major influences on health. This question is especially relevant because the central value and ultimate goal of the academic medicine community is to help attain the highest level of health and health equity for all people. Advances in medical science and practice, along with improvements in health care access and delivery, are steps toward health equity, but alone they will not come close to eliminating health inequalities. Addressing the complex health issues in our communities and society as a whole requires a biomedical research workforce with knowledge, practice, and research skills well beyond conventional biomedical or clinical sciences. To make real progress in advancing health equity, educational pathways must prepare physician-scientists to treat both micro and macro determinants of health. The authors argue that MD-PhD programs should allow and encourage their scholars to cross boundaries into less traditional disciplines such as epidemiology, statistics, anthropology, sociology, ethics, public policy, management, economics, education, social work, informatics, communications, and marketing. To fulfill current and coming health care needs, nontraditional MD-PhD students should be welcomed and supported as valuable members of our biomedical research workforce.

Reaching for the cloud: on the lessons learned from grid computing technology transfer process to the biomedical community.

Science.gov (United States)

Mohammed, Yassene; Dickmann, Frank; Sax, Ulrich; von Voigt, Gabriele; Smith, Matthew; Rienhoff, Otto

2010-01-01

Natural scientists such as physicists pioneered the sharing of computing resources, which led to the creation of the Grid. The inter domain transfer process of this technology has hitherto been an intuitive process without in depth analysis. Some difficulties facing the life science community in this transfer can be understood using the Bozeman's "Effectiveness Model of Technology Transfer". Bozeman's and classical technology transfer approaches deal with technologies which have achieved certain stability. Grid and Cloud solutions are technologies, which are still in flux. We show how Grid computing creates new difficulties in the transfer process that are not considered in Bozeman's model. We show why the success of healthgrids should be measured by the qualified scientific human capital and the opportunities created, and not primarily by the market impact. We conclude with recommendations that can help improve the adoption of Grid and Cloud solutions into the biomedical community. These results give a more concise explanation of the difficulties many life science IT projects are facing in the late funding periods, and show leveraging steps that can help overcoming the "vale of tears".

Career Fairs | College of Engineering & Applied Science

Science.gov (United States)

Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Energy Doctoral Programs in Engineering Non-Degree Candidate Departments Biomedical Engineering Biomedical Engineering Industry Advisory Council Civil & Environmental Engineering Civil &

Leveraging the national cyberinfrastructure for biomedical research.

Science.gov (United States)

LeDuc, Richard; Vaughn, Matthew; Fonner, John M; Sullivan, Michael; Williams, James G; Blood, Philip D; Taylor, James; Barnett, William

2014-01-01

In the USA, the national cyberinfrastructure refers to a system of research supercomputer and other IT facilities and the high speed networks that connect them. These resources have been heavily leveraged by scientists in disciplines such as high energy physics, astronomy, and climatology, but until recently they have been little used by biomedical researchers. We suggest that many of the 'Big Data' challenges facing the medical informatics community can be efficiently handled using national-scale cyberinfrastructure. Resources such as the Extreme Science and Discovery Environment, the Open Science Grid, and Internet2 provide economical and proven infrastructures for Big Data challenges, but these resources can be difficult to approach. Specialized web portals, support centers, and virtual organizations can be constructed on these resources to meet defined computational challenges, specifically for genomics. We provide examples of how this has been done in basic biology as an illustration for the biomedical informatics community.

Teaching authorship and publication practices in the biomedical and life sciences.

Science.gov (United States)

Macrina, Francis L

2011-06-01

Examination of a limited number of publisher's Instructions for Authors, guidelines from two scientific societies, and the widely accepted policy document of the International Committee of Medical Journal Editors (ICMJE) provided useful information on authorship practices. Three of five journals examined (Nature, Science, and the Proceedings of the National Academy of Sciences) publish papers across a variety of disciplines. One is broadly focused on topics in medical research (New England Journal of Medicine) and one publishes research reports in a single discipline (Journal of Bacteriology). Similar elements of publication policy and accepted practices were found across the policies of these journals articulated in their Instructions for Authors. A number of these same elements were found in the professional society guidelines of the Society for Neuroscience and the American Chemical Society, as well as the ICMJE Uniform Requirements for Manuscripts Submitted to Biomedical Journals. Taken together, these sources provide the basis for articulating best practices in authorship in scientific research. Emerging from this material is a definition of authorship, as well as policy statements on duplicative publication, conflict of interest disclosure, electronic access, data sharing, digital image integrity, and research requiring subjects' protection, including prior registration of clinical trials. These common elements provide a foundation for teaching about scientific authorship and publication practices across biomedical and life sciences disciplines.

Computer science handbook

CERN Document Server

Tucker, Allen B

2004-01-01

Due to the great response to the famous Computer Science Handbook edited by Allen B. Tucker, … in 2004 Chapman & Hall/CRC published a second edition of this comprehensive reference book. Within more than 70 chapters, every one new or significantly revised, one can find any kind of information and references about computer science one can imagine. … All in all, there is absolute nothing about computer science that can not be found in the encyclopedia with its 110 survey articles …-Christoph Meinel, Zentralblatt MATH

Biomedical and environmental sciences programs at the Oak Ridge National Laboratory

Energy Technology Data Exchange (ETDEWEB)

Richmond, C.R.; Johnson, C.A.

1988-02-01

This progress report summarizes the research and development activities conducted in the Biomedical and Environmental Sciences Programs of Oak Ridge National Laboratory. The report is structured to provide descriptions of current activities and accomplishments in each of the major organizational units. Following the accounts of research programs, is a list of publications and awards to its members. 6 figs., 14 tabs.

Biomedical and environmental sciences programs at the Oak Ridge National Laboratory

International Nuclear Information System (INIS)

Richmond, C.R.; Johnson, C.A.

1988-02-01

This progress report summarizes the research and development activities conducted in the Biomedical and Environmental Sciences Programs of Oak Ridge National Laboratory. The report is structured to provide descriptions of current activities and accomplishments in each of the major organizational units. Following the accounts of research programs, is a list of publications and awards to its members. 6 figs., 14 tabs

Using Biomedically Relevant Multimedia Content in an Introductory Physics Course for Life Science and Pre-Health Students

Science.gov (United States)

Mylott, Elliot; Kutschera, Ellynne; Dunlap, Justin C.; Christensen, Warren; Widenhorn, Ralf

2016-01-01

We will describe a one-quarter pilot algebra-based introductory physics course for pre-health and life science majors. The course features videos with biomedical experts and cogent biomedically inspired physics content. The materials were used in a flipped classroom as well as an all-online environment where students interacted with multimedia…

College of Engineering & Applied Science

Science.gov (United States)

Computational Mechanics Laboratory Environmental Engineering Laboratory Geotechnical Engineering Laboratory Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Energy Doctoral Programs in Engineering Non-Degree Candidate Departments Biomedical Engineering

The art and science of selecting graduate students in the biomedical sciences: Performance in doctoral study of the foundational sciences.

Science.gov (United States)

Park, Hee-Young; Berkowitz, Oren; Symes, Karen; Dasgupta, Shoumita

2018-01-01

The goal of this study was to investigate associations between admissions criteria and performance in Ph.D. programs at Boston University School of Medicine. The initial phase of this project examined student performance in the classroom component of a newly established curriculum named "Foundations in Biomedical Sciences (FiBS)". Quantitative measures including undergraduate grade point average (GPA), graduate record examination (GRE; a standardized, computer-based test) scores for the verbal (assessment of test takers' ability to analyze, evaluate, and synthesize information and concepts provided in writing) and quantitative (assessment of test takers' problem-solving ability) components of the examination, previous research experience, and competitiveness of previous research institution were used in the study. These criteria were compared with competencies in the program defined as students who pass the curriculum as well as students categorized as High Performers. These data indicated that there is a significant positive correlation between FiBS performance and undergraduate GPA, GRE scores, and competitiveness of undergraduate institution. No significant correlations were found between FiBS performance and research background. By taking a data-driven approach to examine admissions and performance, we hope to refine our admissions criteria to facilitate an unbiased approach to recruitment of students in the life sciences and to share our strategy to support similar goals at other institutions.

Journal of Biomedical Investigation: Editorial Policies

African Journals Online (AJOL)

Journal of Biomedical Investigation: Editorial Policies. Journal Home ... The focus of the Journal of Biomedical Research is to promote interdisciplinary research across all Biomedical Sciences. It publishes ... Business editor – Sam Meludu.

Mathematics, Physics and Computer Sciences The computation of ...

African Journals Online (AJOL)

Mathematics, Physics and Computer Sciences The computation of system matrices for biquadraticsquare finite ... Global Journal of Pure and Applied Sciences ... The computation of system matrices for biquadraticsquare finite elements.

Get set for computer science

CERN Document Server

Edwards, Alistair

2006-01-01

This book is aimed at students who are thinking of studying Computer Science or a related topic at university. Part One is a brief introduction to the topics that make up Computer Science, some of which you would expect to find as course modules in a Computer Science programme. These descriptions should help you to tell the difference between Computer Science as taught in different departments and so help you to choose a course that best suits you. Part Two builds on what you have learned about the nature of Computer Science by giving you guidance in choosing universities and making your appli

Environmental/Biomedical Terminology Index

International Nuclear Information System (INIS)

Huffstetler, J.K.; Dailey, N.S.; Rickert, L.W.; Chilton, B.D.

1976-12-01

The Information Center Complex (ICC), a centrally administered group of information centers, provides information support to environmental and biomedical research groups and others within and outside Oak Ridge National Laboratory. In-house data base building and development of specialized document collections are important elements of the ongoing activities of these centers. ICC groups must be concerned with language which will adequately classify and insure retrievability of document records. Language control problems are compounded when the complexity of modern scientific problem solving demands an interdisciplinary approach. Although there are several word lists, indexes, and thesauri specific to various scientific disciplines usually grouped as Environmental Sciences, no single generally recognized authority can be used as a guide to the terminology of all environmental science. If biomedical terminology for the description of research on environmental effects is also needed, the problem becomes even more complex. The building of a word list which can be used as a general guide to the environmental/biomedical sciences has been a continuing activity of the Information Center Complex. This activity resulted in the publication of the Environmental Biomedical Terminology Index

Computer-aided design and computer science technology

Science.gov (United States)

Fulton, R. E.; Voigt, S. J.

1976-01-01

A description is presented of computer-aided design requirements and the resulting computer science advances needed to support aerospace design. The aerospace design environment is examined, taking into account problems of data handling and aspects of computer hardware and software. The interactive terminal is normally the primary interface between the computer system and the engineering designer. Attention is given to user aids, interactive design, interactive computations, the characteristics of design information, data management requirements, hardware advancements, and computer science developments.

Sustainable computational science

DEFF Research Database (Denmark)

Rougier, Nicolas; Hinsen, Konrad; Alexandre, Frédéric

2017-01-01

Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research...... workflows, in particular in peer-reviews. Existing journals have been slow to adapt: source codes are rarely requested, hardly ever actually executed to check that they produce the results advertised in the article. ReScience is a peer-reviewed journal that targets computational research and encourages...... the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research can be replicated from its description. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience...

About | College of Engineering & Applied Science

Science.gov (United States)

; Applied Science Powerful Ideas. Proven Results. Search for: Go This site All UWM Search Site Menu Skip to Degree Completion Program Graduate Programs Master of Science Programs Concentration in Biomedical Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on

Computer Labs | College of Engineering & Applied Science

Science.gov (United States)

Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Structural Engineering Laboratory Water Resources Laboratory Computer Science Department Computer Science Academic Programs Computer Science Undergraduate Programs Computer Science Major Computer Science Tracks

Computer Resources | College of Engineering & Applied Science

Science.gov (United States)

Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Structural Engineering Laboratory Water Resources Laboratory Computer Science Department Computer Science Academic Programs Computer Science Undergraduate Programs Computer Science Major Computer Science Tracks

Computer Science | Classification | College of Engineering & Applied

Science.gov (United States)

Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Structural Engineering Laboratory Water Resources Laboratory Computer Science Department Computer Science Academic Programs Computer Science Undergraduate Programs Computer Science Major Computer Science Tracks

Democratizing data science through data science training.

Science.gov (United States)

Van Horn, John Darrell; Fierro, Lily; Kamdar, Jeana; Gordon, Jonathan; Stewart, Crystal; Bhattrai, Avnish; Abe, Sumiko; Lei, Xiaoxiao; O'Driscoll, Caroline; Sinha, Aakanchha; Jain, Priyambada; Burns, Gully; Lerman, Kristina; Ambite, José Luis

2018-01-01

The biomedical sciences have experienced an explosion of data which promises to overwhelm many current practitioners. Without easy access to data science training resources, biomedical researchers may find themselves unable to wrangle their own datasets. In 2014, to address the challenges posed such a data onslaught, the National Institutes of Health (NIH) launched the Big Data to Knowledge (BD2K) initiative. To this end, the BD2K Training Coordinating Center (TCC; bigdatau.org) was funded to facilitate both in-person and online learning, and open up the concepts of data science to the widest possible audience. Here, we describe the activities of the BD2K TCC and its focus on the construction of the Educational Resource Discovery Index (ERuDIte), which identifies, collects, describes, and organizes online data science materials from BD2K awardees, open online courses, and videos from scientific lectures and tutorials. ERuDIte now indexes over 9,500 resources. Given the richness of online training materials and the constant evolution of biomedical data science, computational methods applying information retrieval, natural language processing, and machine learning techniques are required - in effect, using data science to inform training in data science. In so doing, the TCC seeks to democratize novel insights and discoveries brought forth via large-scale data science training.

Applications of systems science in biomedical research regarding obesity and noncommunicable chronic diseases: opportunities, promise, and challenges.

Science.gov (United States)

Wang, Youfa; Xue, Hong; Liu, Shiyong

2015-01-01

Interest in the application of systems science (SS) in biomedical research, particularly regarding obesity and noncommunicable chronic disease (NCD) research, has been growing rapidly over the past decade. SS is a broad term referring to a family of research approaches that include modeling. As an emerging approach being adopted in public health, SS focuses on the complex dynamic interaction between agents (e.g., people) and subsystems defined at different levels. SS provides a conceptual framework for interdisciplinary and transdisciplinary approaches that address complex problems. SS has unique advantages for studying obesity and NCD problems in comparison to the traditional analytic approaches. The application of SS in biomedical research dates back to the 1960s with the development of computing capacity and simulation software. In recent decades, SS has been applied to addressing the growing global obesity epidemic. There is growing appreciation and support for using SS in the public health field, with many promising opportunities. There are also many challenges and uncertainties, including methodologic, funding, and institutional barriers. Integrated efforts by stakeholders that address these challenges are critical for the successful application of SS in the future. © 2015 American Society for Nutrition.

[Biomedical research in Revista de Biologia Tropical].

Science.gov (United States)

Gutiérrez, José María

2002-01-01

The contributions published in Revista de Biología Tropical in the area of Biomedical Sciences are reviewed in terms of number of contributions and scope of research subjects. Biomedical Sciences, particularly Parasitology and Microbiology, constituted the predominant subject in the Revista during the first decade, reflecting the intense research environment at the School of Microbiology of the University of Costa Rica and at Hospital San Juan de Dios. The relative weight of Biomedicine in the following decades diminished, due to the outstanding increment in publications in Biological Sciences; however, the absolute number of contributions in Biomedical Sciences remained constant throughout the last decades, with around 80 contributions per decade. In spite of the predominance of Parasitology as the main biomedical subject, the last decades have witnessed the emergence of new areas of interest in the Revista, such as Pharmacology of natural products, Toxinology, especially related to snake venoms, and Human Genetics. This retrospective analysis evidences that Biomedical Sciences, particularly those related to Tropical Medicine, were a fundamental component during the first years of Revista de Biología Tropical, and have maintained a significant presence in the scientific output of this journal, the most relevant scientific publication in biological sciences in Central America.

Writing intelligible English prose for biomedical journals.

Science.gov (United States)

Ludbrook, John

2007-01-01

1. I present a combination of semi-objective and subjective evidence that the quality of English prose in biomedical scientific writing is deteriorating. 2. I consider seven possible strategies for reversing this apparent trend. These refer to a greater emphasis on good writing by students in schools and by university students, consulting books on science writing, one-on-one mentoring, using 'scientific' measures to reveal lexical poverty, making use of freelance science editors and encouraging the editors of biomedical journals to pay more attention to the problem. 3. I conclude that a fruitful, long-term, strategy would be to encourage more biomedical scientists to embark on a career in science editing. This strategy requires a complementary initiative on the part of biomedical research institutions and universities to employ qualified science editors. 4. An immediately realisable strategy is to encourage postgraduate students in the biomedical sciences to undertake the service courses provided by many universities on writing English prose in general and scientific prose in particular. This strategy would require that heads of departments and supervisors urge their postgraduate students to attend such courses. 5. Two major publishers of biomedical journals, Blackwell Publications and Elsevier Science, now provide lists of commercial editing services on their web sites. I strongly recommend that authors intending to submit manuscripts to their journals (including Blackwell's Clinical and Experimental Pharmacology and Physiology) make use of these services. This recommendation applies especially to those for whom English is a second language.

Computability, complexity, and languages fundamentals of theoretical computer science

CERN Document Server

Davis, Martin D; Rheinboldt, Werner

1983-01-01

Computability, Complexity, and Languages: Fundamentals of Theoretical Computer Science provides an introduction to the various aspects of theoretical computer science. Theoretical computer science is the mathematical study of models of computation. This text is composed of five parts encompassing 17 chapters, and begins with an introduction to the use of proofs in mathematics and the development of computability theory in the context of an extremely simple abstract programming language. The succeeding parts demonstrate the performance of abstract programming language using a macro expa

Computer Models and Automata Theory in Biology and Medicine

CERN Document Server

Baianu, I C

2004-01-01

The applications of computers to biological and biomedical problem solving goes back to the very beginnings of computer science, automata theory [1], and mathematical biology [2]. With the advent of more versatile and powerful computers, biological and biomedical applications of computers have proliferated so rapidly that it would be virtually impossible to compile a comprehensive review of all developments in this field. Limitations of computer simulations in biology have also come under close scrutiny, and claims have been made that biological systems have limited information processing power [3]. Such general conjectures do not, however, deter biologists and biomedical researchers from developing new computer applications in biology and medicine. Microprocessors are being widely employed in biological laboratories both for automatic data acquisition/processing and modeling; one particular area, which is of great biomedical interest, involves fast digital image processing and is already established for rout...

ICASE Computer Science Program

Science.gov (United States)

1985-01-01

The Institute for Computer Applications in Science and Engineering computer science program is discussed in outline form. Information is given on such topics as problem decomposition, algorithm development, programming languages, and parallel architectures.

The Need for Computer Science

Science.gov (United States)

Margolis, Jane; Goode, Joanna; Bernier, David

2011-01-01

Broadening computer science learning to include more students is a crucial item on the United States' education agenda, these authors say. Although policymakers advocate more computer science expertise, computer science offerings in high schools are few--and actually shrinking. In addition, poorly resourced schools with a high percentage of…

On teaching computer ethics within a computer science department.

Science.gov (United States)

Quinn, Michael J

2006-04-01

The author has surveyed a quarter of the accredited undergraduate computer science programs in the United States. More than half of these programs offer a 'social and ethical implications of computing' course taught by a computer science faculty member, and there appears to be a trend toward teaching ethics classes within computer science departments. Although the decision to create an 'in house' computer ethics course may sometimes be a pragmatic response to pressure from the accreditation agency, this paper argues that teaching ethics within a computer science department can provide students and faculty members with numerous benefits. The paper lists topics that can be covered in a computer ethics course and offers some practical suggestions for making the course successful.

Environmental/Biomedical Terminology Index

Energy Technology Data Exchange (ETDEWEB)

Huffstetler, J.K.; Dailey, N.S.; Rickert, L.W.; Chilton, B.D.

1976-12-01

The Information Center Complex (ICC), a centrally administered group of information centers, provides information support to environmental and biomedical research groups and others within and outside Oak Ridge National Laboratory. In-house data base building and development of specialized document collections are important elements of the ongoing activities of these centers. ICC groups must be concerned with language which will adequately classify and insure retrievability of document records. Language control problems are compounded when the complexity of modern scientific problem solving demands an interdisciplinary approach. Although there are several word lists, indexes, and thesauri specific to various scientific disciplines usually grouped as Environmental Sciences, no single generally recognized authority can be used as a guide to the terminology of all environmental science. If biomedical terminology for the description of research on environmental effects is also needed, the problem becomes even more complex. The building of a word list which can be used as a general guide to the environmental/biomedical sciences has been a continuing activity of the Information Center Complex. This activity resulted in the publication of the Environmental Biomedical Terminology Index (EBTI).

Analysis of uncertainty and variability in finite element computational models for biomedical engineering:characterization and propagation

Directory of Open Access Journals (Sweden)

Nerea Mangado

2016-11-01

Full Text Available Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering.

Analysis of Uncertainty and Variability in Finite Element Computational Models for Biomedical Engineering: Characterization and Propagation.

Science.gov (United States)

Mangado, Nerea; Piella, Gemma; Noailly, Jérôme; Pons-Prats, Jordi; Ballester, Miguel Ángel González

2016-01-01

Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering.

Compliance with National Ethics Requirements for Human-Subject Research in Non-biomedical Sciences in Brazil: A Changing Culture?

Science.gov (United States)

de Albuquerque Rocha, Karina; Vasconcelos, Sonia M R

2018-02-06

Ethics regulation for human-subject research (HSR) has been established for about 20 years in Brazil. However, compliance with this regulation is controversial for non-biomedical sciences, particularly for human and social sciences (HSS), the source of a recent debate at the National Commission for Research Ethics. We hypothesized that for these fields, formal requirements for compliance with HSR regulation in graduate programs, responsible for the greatest share of Brazilian science, would be small in number. We analyzed institutional documents (collected from June 2014 to May 2015) from 171 graduate programs at six prestigious Brazilian universities in São Paulo and Rio de Janeiro, the states that fund most of the science conducted in Brazil. Among these programs, 149 were in HSS. The results suggest that non-compliance with standard regulation seems to be the rule in most of these programs. The data may reflect not only a resistance from scientists in these fields to comply with standard regulations for ethics in HSR but also a disciplinary tradition that seems prevalent when it comes to research ethics in HSR. However, recent encounters between Brazilian biomedical and non-biomedical scientists for debates over ethics in HSR point to a changing culture in the approach to research ethics in the country.

Modern Trends in Imaging XI: Impedance Measurements in the Biomedical Sciences

Directory of Open Access Journals (Sweden)

Frederick D. Coffman

2012-01-01

Full Text Available Biological organisms and their component organs, tissues and cells have unique electrical impedance properties. Impedance properties often change with changes in structure, composition, and metabolism, and can be indicative of the onset and progression of disease states. Over the past 100 years, instruments and analytical methods have been developed to measure the impedance properties of biological specimens and to utilize these measurements in both clinical and basic science settings. This chapter will review the applications of impedance measurements in the biomedical sciences, from whole body analysis to impedance measurements of single cells and cell monolayers, and how cellular impedance measuring instruments can now be used in high throughput screening applications.

A Paradigm for the Next Millenium: Health Information Science.

Science.gov (United States)

Sadler, Lewis

1991-01-01

Described is a curriculum for a new multidisciplinary science-Health Information Science-that incorporates aspects of computer science, cognitive psychology, bioengineering, biomedical visualization, medicine, dentistry, anthropology, mathematics, library science, and the visual arts. The situation of the medical illustration profession is…

Computational Science and Innovation

International Nuclear Information System (INIS)

Dean, David Jarvis

2011-01-01

Simulations - utilizing computers to solve complicated science and engineering problems - are a key ingredient of modern science. The U.S. Department of Energy (DOE) is a world leader in the development of high-performance computing (HPC), the development of applied math and algorithms that utilize the full potential of HPC platforms, and the application of computing to science and engineering problems. An interesting general question is whether the DOE can strategically utilize its capability in simulations to advance innovation more broadly. In this article, I will argue that this is certainly possible.

A Novel Multiple Choice Question Generation Strategy: Alternative Uses for Controlled Vocabulary Thesauri in Biomedical-Sciences Education.

Science.gov (United States)

Lopetegui, Marcelo A; Lara, Barbara A; Yen, Po-Yin; Çatalyürek, Ümit V; Payne, Philip R O

2015-01-01

Multiple choice questions play an important role in training and evaluating biomedical science students. However, the resource intensive nature of question generation limits their open availability, reducing their contribution to evaluation purposes mainly. Although applied-knowledge questions require a complex formulation process, the creation of concrete-knowledge questions (i.e., definitions, associations) could be assisted by the use of informatics methods. We envisioned a novel and simple algorithm that exploits validated knowledge repositories and generates concrete-knowledge questions by leveraging concepts' relationships. In this manuscript we present the development and validation of a prototype which successfully produced meaningful concrete-knowledge questions, opening new applications for existing knowledge repositories, potentially benefiting students of all biomedical sciences disciplines.

Central Computer Science Concepts to Research-Based Teacher Training in Computer Science: An Experimental Study

Science.gov (United States)

Zendler, Andreas; Klaudt, Dieter

2012-01-01

The significance of computer science for economics and society is undisputed. In particular, computer science is acknowledged to play a key role in schools (e.g., by opening multiple career paths). The provision of effective computer science education in schools is dependent on teachers who are able to properly represent the discipline and whose…

Theoretical computer science and the natural sciences

Science.gov (United States)

Marchal, Bruno

2005-12-01

I present some fundamental theorems in computer science and illustrate their relevance in Biology and Physics. I do not assume prerequisites in mathematics or computer science beyond the set N of natural numbers, functions from N to N, the use of some notational conveniences to describe functions, and at some point, a minimal amount of linear algebra and logic. I start with Cantor's transcendental proof by diagonalization of the non enumerability of the collection of functions from natural numbers to the natural numbers. I explain why this proof is not entirely convincing and show how, by restricting the notion of function in terms of discrete well defined processes, we are led to the non algorithmic enumerability of the computable functions, but also-through Church's thesis-to the algorithmic enumerability of partial computable functions. Such a notion of function constitutes, with respect to our purpose, a crucial generalization of that concept. This will make easy to justify deep and astonishing (counter-intuitive) incompleteness results about computers and similar machines. The modified Cantor diagonalization will provide a theory of concrete self-reference and I illustrate it by pointing toward an elementary theory of self-reproduction-in the Amoeba's way-and cellular self-regeneration-in the flatworm Planaria's way. To make it easier, I introduce a very simple and powerful formal system known as the Schoenfinkel-Curry combinators. I will use the combinators to illustrate in a more concrete way the notion introduced above. The combinators, thanks to their low-level fine grained design, will also make it possible to make a rough but hopefully illuminating description of the main lessons gained by the careful observation of nature, and to describe some new relations, which should exist between computer science, the science of life and the science of inert matter, once some philosophical, if not theological, hypotheses are made in the cognitive sciences. In the

[Biomedical engineering today : An overview from the viewpoint of the German Biomedical Engineering Society].

Science.gov (United States)

Schlötelburg, C; Becks, T; Stieglitz, T

2010-08-01

Biomedical engineering is characterized by the interdisciplinary co-operation of technology, science, and ways of thinking, probably more than any other technological area. The close interaction of engineering and information sciences with medicine and biology results in innovative products and methods, but also requires high standards for the interdisciplinary transfer of ideas into products for patients' benefits. This article describes the situation of biomedical engineering in Germany. It displays characteristics of the medical device industry and ranks it with respect to the international market. The research landscape is described as well as up-to-date research topics and trends. The national funding situation of research in biomedical engineering is reviewed and existing innovation barriers are discussed.

[Computers in biomedical research: I. Analysis of bioelectrical signals].

Science.gov (United States)

Vivaldi, E A; Maldonado, P

2001-08-01

A personal computer equipped with an analog-to-digital conversion card is able to input, store and display signals of biomedical interest. These signals can additionally be submitted to ad-hoc software for analysis and diagnosis. Data acquisition is based on the sampling of a signal at a given rate and amplitude resolution. The automation of signal processing conveys syntactic aspects (data transduction, conditioning and reduction); and semantic aspects (feature extraction to describe and characterize the signal and diagnostic classification). The analytical approach that is at the basis of computer programming allows for the successful resolution of apparently complex tasks. Two basic principles involved are the definition of simple fundamental functions that are then iterated and the modular subdivision of tasks. These two principles are illustrated, respectively, by presenting the algorithm that detects relevant elements for the analysis of a polysomnogram, and the task flow in systems that automate electrocardiographic reports.

NASA's computer science research program

Science.gov (United States)

Larsen, R. L.

1983-01-01

Following a major assessment of NASA's computing technology needs, a new program of computer science research has been initiated by the Agency. The program includes work in concurrent processing, management of large scale scientific databases, software engineering, reliable computing, and artificial intelligence. The program is driven by applications requirements in computational fluid dynamics, image processing, sensor data management, real-time mission control and autonomous systems. It consists of university research, in-house NASA research, and NASA's Research Institute for Advanced Computer Science (RIACS) and Institute for Computer Applications in Science and Engineering (ICASE). The overall goal is to provide the technical foundation within NASA to exploit advancing computing technology in aerospace applications.

BIG: a Grid Portal for Biomedical Data and Images

Directory of Open Access Journals (Sweden)

Giovanni Aloisio

2004-06-01

Full Text Available Modern management of biomedical systems involves the use of many distributed resources, such as high performance computational resources to analyze biomedical data, mass storage systems to store them, medical instruments (microscopes, tomographs, etc., advanced visualization and rendering tools. Grids offer the computational power, security and availability needed by such novel applications. This paper presents BIG (Biomedical Imaging Grid, a Web-based Grid portal for management of biomedical information (data and images in a distributed environment. BIG is an interactive environment that deals with complex user's requests, regarding the acquisition of biomedical data, the "processing" and "delivering" of biomedical images, using the power and security of Computational Grids.

The 6th International Conference on Computer Science and Computational Mathematics (ICCSCM 2017)

Science.gov (United States)

2017-09-01

The ICCSCM 2017 (The 6th International Conference on Computer Science and Computational Mathematics) has aimed to provide a platform to discuss computer science and mathematics related issues including Algebraic Geometry, Algebraic Topology, Approximation Theory, Calculus of Variations, Category Theory; Homological Algebra, Coding Theory, Combinatorics, Control Theory, Cryptology, Geometry, Difference and Functional Equations, Discrete Mathematics, Dynamical Systems and Ergodic Theory, Field Theory and Polynomials, Fluid Mechanics and Solid Mechanics, Fourier Analysis, Functional Analysis, Functions of a Complex Variable, Fuzzy Mathematics, Game Theory, General Algebraic Systems, Graph Theory, Group Theory and Generalizations, Image Processing, Signal Processing and Tomography, Information Fusion, Integral Equations, Lattices, Algebraic Structures, Linear and Multilinear Algebra; Matrix Theory, Mathematical Biology and Other Natural Sciences, Mathematical Economics and Financial Mathematics, Mathematical Physics, Measure Theory and Integration, Neutrosophic Mathematics, Number Theory, Numerical Analysis, Operations Research, Optimization, Operator Theory, Ordinary and Partial Differential Equations, Potential Theory, Real Functions, Rings and Algebras, Statistical Mechanics, Structure Of Matter, Topological Groups, Wavelets and Wavelet Transforms, 3G/4G Network Evolutions, Ad-Hoc, Mobile, Wireless Networks and Mobile Computing, Agent Computing & Multi-Agents Systems, All topics related Image/Signal Processing, Any topics related Computer Networks, Any topics related ISO SC-27 and SC- 17 standards, Any topics related PKI(Public Key Intrastructures), Artifial Intelligences(A.I.) & Pattern/Image Recognitions, Authentication/Authorization Issues, Biometric authentication and algorithms, CDMA/GSM Communication Protocols, Combinatorics, Graph Theory, and Analysis of Algorithms, Cryptography and Foundation of Computer Security, Data Base(D.B.) Management & Information

Design of e-Science platform for biomedical imaging research cross multiple academic institutions and hospitals

Science.gov (United States)

Zhang, Jianguo; Zhang, Kai; Yang, Yuanyuan; Ling, Tonghui; Wang, Tusheng; Wang, Mingqing; Hu, Haibo; Xu, Xuemin

2012-02-01

More and more image informatics researchers and engineers are considering to re-construct imaging and informatics infrastructure or to build new framework to enable multiple disciplines of medical researchers, clinical physicians and biomedical engineers working together in a secured, efficient, and transparent cooperative environment. In this presentation, we show an outline and our preliminary design work of building an e-Science platform for biomedical imaging and informatics research and application in Shanghai. We will present our consideration and strategy on designing this platform, and preliminary results. We also will discuss some challenges and solutions in building this platform.

The Fu Foundation School of Engineering & Applied Science - Columbia

Science.gov (United States)

Engineering Mechanics Computer Science Earth and Environmental Engineering Electrical Engineering Industrial Engineering & Applied Science - Columbia University Admissions Undergraduates Graduates Distance Learning Physics and Applied Mathematics Biomedical Engineering Chemical Engineering Civil Engineering and

Mathematics and Computer Science | Argonne National Laboratory

Science.gov (United States)

Extreme Computing Data-Intensive Science Applied Mathematics Science & Engineering Applications Software Extreme Computing Data-Intensive Science Applied Mathematics Science & Engineering Opportunities For Employees Staff Directory Argonne National Laboratory Mathematics and Computer Science Tools

Computational tools for high-throughput discovery in biology

OpenAIRE

Jones, Neil Christopher

2007-01-01

High throughput data acquisition technology has inarguably transformed the landscape of the life sciences, in part by making possible---and necessary---the computational disciplines of bioinformatics and biomedical informatics. These fields focus primarily on developing tools for analyzing data and generating hypotheses about objects in nature, and it is in this context that we address three pressing problems in the fields of the computational life sciences which each require computing capaci...

Statistics and Biomedical Informatics in Forensic Sciences

Czech Academy of Sciences Publication Activity Database

Zvárová, Jana

2009-01-01

Roč. 20, č. 6 (2009), s. 743-750 ISSN 1180-4009. [TIES 2007. Annual Meeting of the International Environmental Society /18./. Mikulov, 16.08.2007-20.08.2007] Institutional research plan: CEZ:AV0Z10300504 Keywords : biomedical informatics * biomedical statistics * genetic information * forensic dentistry Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 1.000, year: 2009

Imaging sciences workshop

Energy Technology Data Exchange (ETDEWEB)

Candy, J.V.

1994-11-15

This workshop on the Imaging Sciences sponsored by Lawrence Livermore National Laboratory contains short abstracts/articles submitted by speakers. The topic areas covered include the following: Astronomical Imaging; biomedical imaging; vision/image display; imaging hardware; imaging software; Acoustic/oceanic imaging; microwave/acoustic imaging; computed tomography; physical imaging; imaging algorithms. Selected papers are indexed separately for inclusion in the Energy Science and Technology Database.

Computer and Information Sciences III : 27th International Symposium on Computer and Information Sciences

CERN Document Server

Lent, Ricardo

2013-01-01

Information technology is the enabling foundation science and technology for all of human activity at the beginning of the 21st century, and advances in this area are crucial to all of us. These advances are taking place all over the world and can only be followed and perceived when researchers from all over the world assemble, and exchange their ideas in conferences such as the one presented in this proceedings volume regarding the 27th International Symposium on Computer and Information Systems, held at the Institut Henri Poincare' in Paris on October 3 and 4, 2012. Computer and Information Sciences III: 27th International Symposium on Computer and Information Sciences contains novel advances in the state of the art covering applied research in electrical and computer engineering and computer science, across the broad area of information technology. It provides access to the main innovative activities in research across the world, and points to the results obtained recently by some of the most active teams ...

Sustainable computational science: the ReScience initiative

Directory of Open Access Journals (Sweden)

Nicolas P. Rougier

2017-12-01

Full Text Available Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results; however, computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research is reproducible. But this is not exactly true. James Buckheit and David Donoho proposed more than two decades ago that an article about computational results is advertising, not scholarship. The actual scholarship is the full software environment, code, and data that produced the result. This implies new workflows, in particular in peer-reviews. Existing journals have been slow to adapt: source codes are rarely requested and are hardly ever actually executed to check that they produce the results advertised in the article. ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research can be replicated from its description. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience resides on GitHub where each new implementation of a computational study is made available together with comments, explanations, and software tests.

Computational problems in science and engineering

CERN Document Server

Bulucea, Aida; Tsekouras, George

2015-01-01

This book provides readers with modern computational techniques for solving variety of problems from electrical, mechanical, civil and chemical engineering. Mathematical methods are presented in a unified manner, so they can be applied consistently to problems in applied electromagnetics, strength of materials, fluid mechanics, heat and mass transfer, environmental engineering, biomedical engineering, signal processing, automatic control and more.

Bringing computational science to the public.

Science.gov (United States)

McDonagh, James L; Barker, Daniel; Alderson, Rosanna G

2016-01-01

The increasing use of computers in science allows for the scientific analyses of large datasets at an increasing pace. We provided examples and interactive demonstrations at Dundee Science Centre as part of the 2015 Women in Science festival, to present aspects of computational science to the general public. We used low-cost Raspberry Pi computers to provide hands on experience in computer programming and demonstrated the application of computers to biology. Computer games were used as a means to introduce computers to younger visitors. The success of the event was evaluated by voluntary feedback forms completed by visitors, in conjunction with our own self-evaluation. This work builds on the original work of the 4273π bioinformatics education program of Barker et al. (2013, BMC Bioinform. 14:243). 4273π provides open source education materials in bioinformatics. This work looks at the potential to adapt similar materials for public engagement events. It appears, at least in our small sample of visitors (n = 13), that basic computational science can be conveyed to people of all ages by means of interactive demonstrations. Children as young as five were able to successfully edit simple computer programs with supervision. This was, in many cases, their first experience of computer programming. The feedback is predominantly positive, showing strong support for improving computational science education, but also included suggestions for improvement. Our conclusions are necessarily preliminary. However, feedback forms suggest methods were generally well received among the participants; "Easy to follow. Clear explanation" and "Very easy. Demonstrators were very informative." Our event, held at a local Science Centre in Dundee, demonstrates that computer games and programming activities suitable for young children can be performed alongside a more specialised and applied introduction to computational science for older visitors.

Theory and computational science

International Nuclear Information System (INIS)

Durham, P.

1985-01-01

The theoretical and computational science carried out at the Daresbury Laboratory in 1984/5 is detailed in the Appendix to the Daresbury Annual Report. The Theory, Computational Science and Applications Groups, provide support work for the experimental projects conducted at Daresbury. Use of the FPS-164 processor is also described. (U.K.)

Computer science a concise introduction

CERN Document Server

Sinclair, Ian

2014-01-01

Computer Science: A Concise Introduction covers the fundamentals of computer science. The book describes micro-, mini-, and mainframe computers and their uses; the ranges and types of computers and peripherals currently available; applications to numerical computation; and commercial data processing and industrial control processes. The functions of data preparation, data control, computer operations, applications programming, systems analysis and design, database administration, and network control are also encompassed. The book then discusses batch, on-line, and real-time systems; the basic

Developmental programming: State-of-the-science and future directions-summary from a Pennington biomedical symposium

Science.gov (United States)

On December 8-9, 2014, the Pennington Biomedical Research Center convened a scientific symposium to review the state-of-the-science and future directions for the study of developmental programming of obesity and chronic disease. The objectives of the symposium were to discuss: (i) past and current s...

Preparing Future Secondary Computer Science Educators

Science.gov (United States)

Ajwa, Iyad

2007-01-01

Although nearly every college offers a major in computer science, many computer science teachers at the secondary level have received little formal training. This paper presents details of a project that could make a significant contribution to national efforts to improve computer science education by combining teacher education and professional…

Introduction to biomedical engineering

CERN Document Server

Enderle, John D; Blanchard, Susan M

2005-01-01

Under the direction of John Enderle, Susan Blanchard and Joe Bronzino, leaders in the field have contributed chapters on the most relevant subjects for biomedical engineering students. These chapters coincide with courses offered in all biomedical engineering programs so that it can be used at different levels for a variety of courses of this evolving field. Introduction to Biomedical Engineering, Second Edition provides a historical perspective of the major developments in the biomedical field. Also contained within are the fundamental principles underlying biomedical engineering design, analysis, and modeling procedures. The numerous examples, drill problems and exercises are used to reinforce concepts and develop problem-solving skills making this book an invaluable tool for all biomedical students and engineers. New to this edition: Computational Biology, Medical Imaging, Genomics and Bioinformatics. * 60% update from first edition to reflect the developing field of biomedical engineering * New chapters o...

Handbook of photonics for biomedical engineering

CERN Document Server

Kim, Donghyun; Somekh, Michael

2017-01-01

Nanophotonics has emerged rapidly into technological mainstream with the advent and maturity of nanotechnology available in photonics and enabled many new exciting applications in the area of biomedical science and engineering that were unimagined even a few years ago with conventional photonic engineering techniques. Handbook of Nanophotonics in Biomedical Engineering is intended to be a reliable resource to a wealth of information on nanophotonics that can inspire readers by detailing emerging and established possibilities of nanophotonics in biomedical science and engineering applications. This comprehensive reference presents not only the basics of nanophotonics but also explores recent experimental and clinical methods used in biomedical and bioengineering research. Each peer-reviewed chapter of this book discusses fundamental aspects and materials/fabrication issues of nanophotonics, as well as applications in interfaces, cell, tissue, animal studies, and clinical engineering. The organization provides ...

Computer Science and the Liberal Arts

Science.gov (United States)

Shannon, Christine

2010-01-01

Computer science and the liberal arts have much to offer each other. Yet liberal arts colleges, in particular, have been slow to recognize the opportunity that the study of computer science provides for achieving the goals of a liberal education. After the precipitous drop in computer science enrollments during the first decade of this century,…

Crystal growth and computational materials science

International Nuclear Information System (INIS)

Jayakumar, S.; Ravindran, P.; Arun Kumar, R.; Sudarshan, C.

2012-01-01

The proceedings of the international conference on advanced materials discusses the advances being made in the area of single crystals, their preparation and device development from these crystals and details of the progress that is taking place in the computational field relating to materials science. Computational materials science makes use of advanced simulation tools and computer interfaces to develop a virtual platform which can provide a model for real-time experiments. This book includes selected papers in topics of crystal growth and computational materials science. We are confident that the new concepts and results presented will stimulate and enhance progress of research on crystal growth and computational materials science. Papers relevant to INIS are indexed separately

Quantum computer science

CERN Document Server

Lanzagorta, Marco

2009-01-01

In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum computing rather than on the engineering issues associated with its physical implementation. We adopt this approach for the same reason that a book on computer programming doesn't cover the theory and physical realization of semiconductors. Another distin

Advanced in Computer Science and its Applications

CERN Document Server

Yen, Neil; Park, James; CSA 2013

2014-01-01

The theme of CSA is focused on the various aspects of computer science and its applications for advances in computer science and its applications and provides an opportunity for academic and industry professionals to discuss the latest issues and progress in the area of computer science and its applications. Therefore this book will be include the various theories and practical applications in computer science and its applications.

Computer and information science

CERN Document Server

2016-01-01

This edited book presents scientific results of the 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016) which was held on June 26– 29 in Okayama, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review. This publication captures 12 of the conference’s most promising...

Biomedical signal analysis

CERN Document Server

Rangayyan, Rangaraj M

2015-01-01

The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications. 800 mathematical expressions and equations. Practical questions, problems and laboratory exercises. Includes fractals and chaos theory with biomedical applications.

Computing, Environment and Life Sciences | Argonne National Laboratory

Science.gov (United States)

Computing, Environment and Life Sciences Research Divisions BIOBiosciences CPSComputational Science DSLData Argonne Leadership Computing Facility Biosciences Division Environmental Science Division Mathematics and Computer Science Division Facilities and Institutes Argonne Leadership Computing Facility News Events About

Biomedical data integration in computational drug design and bioinformatics.

Science.gov (United States)

Seoane, Jose A; Aguiar-Pulido, Vanessa; Munteanu, Cristian R; Rivero, Daniel; Rabunal, Juan R; Dorado, Julian; Pazos, Alejandro

2013-03-01

In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real challenge is to analyze all this data, as a whole, after integrating it. Biomedical data integration enables making queries to different, heterogeneous and distributed biomedical data sources. Data integration solutions can be very useful not only in the context of drug design, but also in biomedical information retrieval, clinical diagnosis, system biology, etc. In this review, we analyze the most common approaches to biomedical data integration, such as federated databases, data warehousing, multi-agent systems and semantic technology, as well as the solutions developed using these approaches in the past few years.

Computing handbook computer science and software engineering

CERN Document Server

Gonzalez, Teofilo; Tucker, Allen

2014-01-01

Overview of Computer Science Structure and Organization of Computing Peter J. DenningComputational Thinking Valerie BarrAlgorithms and Complexity Data Structures Mark WeissBasic Techniques for Design and Analysis of Algorithms Edward ReingoldGraph and Network Algorithms Samir Khuller and Balaji RaghavachariComputational Geometry Marc van KreveldComplexity Theory Eric Allender, Michael Loui, and Kenneth ReganFormal Models and Computability Tao Jiang, Ming Li, and Bala

Multiple choice questions are superior to extended matching questions to identify medicine and biomedical sciences students who perform poorly.

Science.gov (United States)

Eijsvogels, Thijs M H; van den Brand, Tessa L; Hopman, Maria T E

2013-11-01

In recent years, medical faculties at Dutch universities have implemented a legally binding study advice to students of medicine and biomedical sciences during their propaedeutic phase. Appropriate examination is essential to discriminate between poor (grade age and examination preference on this score. Data were collected for 452 first-year medical and biomedical science students during three distinct course examinations: one examination with EMQ only, one with MCQ only and one mixed examination (including EMQ and MCQ). Logistic regression analysis revealed that MCQ examination was 3 times better in identifying poor students compared with EMQ (RR 3.0, CI 2.0-4.5), whereas EMQ better detected excellent students (average grade ≥8) (RR 1.93, CI 1.47-2.53). Mixed examination had comparable characteristics to MCQ. Sex and examination preference did not impact the score of the student. Students ≥20 years had a 4-fold higher risk ratio of obtaining a poor grade (<6) compared with students ≤18 years old (RR 4.1, CI 2.1-8.0). Given the strong discriminative capacity of MCQ examinations to identify poor students, we recommend the use of this type of examination during the propaedeutic phase of medicine and biomedical science study programmes, in the light of the binding study advice.

An engineering paradigm in the biomedical sciences: Knowledge as epistemic tool.

Science.gov (United States)

Boon, Mieke

2017-10-01

In order to deal with the complexity of biological systems and attempts to generate applicable results, current biomedical sciences are adopting concepts and methods from the engineering sciences. Philosophers of science have interpreted this as the emergence of an engineering paradigm, in particular in systems biology and synthetic biology. This article aims at the articulation of the supposed engineering paradigm by contrast with the physics paradigm that supported the rise of biochemistry and molecular biology. This articulation starts from Kuhn's notion of a disciplinary matrix, which indicates what constitutes a paradigm. It is argued that the core of the physics paradigm is its metaphysical and ontological presuppositions, whereas the core of the engineering paradigm is the epistemic aim of producing useful knowledge for solving problems external to the scientific practice. Therefore, the two paradigms involve distinct notions of knowledge. Whereas the physics paradigm entails a representational notion of knowledge, the engineering paradigm involves the notion of 'knowledge as epistemic tool'. Copyright © 2017 Elsevier Ltd. All rights reserved.

Biomedical and environmental sciences programs at the Oak Ridge National Laboratory

International Nuclear Information System (INIS)

Preston, E.L.; Getsi, J.A.

1982-07-01

A major objective of the biomedical and environmental sciences (BES) research at the Oak Ridge National Laboratory (ORNL) is to provide information on environmental, health, and safety considerations that can be used in the formulation and implementation of energy technology decisions. Research is directed at securing information required for an understanding of both the short- and long-term consequences of the processes involved in new energy technologies. Investigation of the mechanisms responsible for biological and ecological damage caused by substances associated with energy production and of repair mechanisms is a necessary component of this research. The research is carried out by the staff of four divisions and one program: Biology Division, Environmental Sciences Division, Health and Safety Research Division, Information Division, and the Life Sciences Synthetic Fuels Program. Research programs underway in each of these divisions are discussed. Information on the following subjects is also included: interactions with universities; interactions with industry; technology transfer; recent accomplishments in the areas of program, publications, awards, and patents; and new initiatives

Biomedical and environmental sciences programs at the Oak Ridge National Laboratory

Energy Technology Data Exchange (ETDEWEB)

Preston, E.L.; Getsi, J.A. (comps.)

1982-07-01

A major objective of the biomedical and environmental sciences (BES) research at the Oak Ridge National Laboratory (ORNL) is to provide information on environmental, health, and safety considerations that can be used in the formulation and implementation of energy technology decisions. Research is directed at securing information required for an understanding of both the short- and long-term consequences of the processes involved in new energy technologies. Investigation of the mechanisms responsible for biological and ecological damage caused by substances associated with energy production and of repair mechanisms is a necessary component of this research. The research is carried out by the staff of four divisions and one program: Biology Division, Environmental Sciences Division, Health and Safety Research Division, Information Division, and the Life Sciences Synthetic Fuels Program. Research programs underway in each of these divisions are discussed. Information on the following subjects is also included: interactions with universities; interactions with industry; technology transfer; recent accomplishments in the areas of program, publications, awards, and patents; and new initiatives. (JGB)

Citizen Science and Biomedical Research: Implications for Bioethics Theory and Practice

Directory of Open Access Journals (Sweden)

Chris W Callaghan

2016-10-01

Full Text Available Certain trends in scientific research have important relevance to bioethics theory and practice. A growing stream of literature relates to increasing transparency and inclusivity of populations (stakeholders in scientific research, from high volume data collection, synthesis, and analysis to verification and ethical scrutiny. The emergence of this stream of literature has implications for bioethics theory and practice. This paper seeks to make explicit these streams of literature and to relate these to bioethical issues, through consideration of certain extreme examples of scientific research where bioethical engagement is vital. Implications for theory and practice are derived, offering useful insights derived from multidisciplinary theory. Arguably, rapidly developing fields of citizen science such as informing science and others seeking to maximise stakeholder involvement in both research and bioethical engagement have emerged as a response to these types of issues; radically enhanced stakeholder engagement in science may herald a new maximally inclusive and transparent paradigm in bioethics based on lessons gained from exposure to increasingly uncertain ethical contexts of biomedical research.

Some Aspects of the State-of-the-Arts in Biomedical Science Research: A Perspective for Organizational Change in African Academia.

Science.gov (United States)

John, Theresa Adebola

2014-12-29

In the biomedical sciences, there is need to generate solutions for Africa's health and economic problems through the impact of university research. To guide organizational transformation, the author here presents some aspects of the state-of-the-arts of biomedical science research in advanced countries using a perspective derived from the FASEB journal publications. The author examines the thirty three peer reviewed scientific research articles in a centennial (April 2012) issue of the FASEB Journal [Volume 26(4)] using the following parameters: number of authors contributing to the paper; number of academic departments contributing to the paper; number of academic institutions contributing to the paper; funding of the research reported in the article. The articles were written by 7.97±0.61 authors from 3.46±0.3 departments of 2.79±0.29 institutions. The contributors were classified into four categories: basic sciences, clinical sciences, institutions and centers, and programs and labs. Amongst the publications, 21.2% were single disciplinary. Two tier collaboration amongst any two of the four categories were observed in 16/33 (48.5%) of the articles. Three tier and four tier collaborations were observed amongst 7/33 (21.2%) and 3/33 (9%) of the articles respectively. Therefore 26/33 (78.7%) of the articles were multidisciplinary. Collaborative efforts between basic science and clinical science departments were observed in 9/33 (27.3%) articles. Public funding through government agencies provided 85 out of a total of 143 (59.5%) grants. The collaborative and multidisciplinary nature and government support are characteristic of biomedical science in the US where research tends to result in solutions to problems and economic benefits.

Mathematics and physics of emerging biomedical imaging

International Nuclear Information System (INIS)

1996-01-01

Although the mathematical sciences were used in a general way for image processing, they were of little importance in biomedical work until the development in the 1970s of computed tomography (CT) for the imaging of x-rays and isotope emission tomography. In the 1980s, MRI eclipsed the other modalities in many ways as the most informative medical imaging methodology. Besides these well-established techniques, computer-based mathematical methods are being explored in applications to other well-known methods, such as ultrasound and electroencephalography, as well as new techniques of optical imaging, impedance tomography, and magnetic source imaging. It is worth pointing out that, while the final images of many of these techniques bear many similarities to each other, the technologies involved in each are completely different and the parameters represented in the images are very different in character as well as in medical usefulness. In each case, rather different mathematical or statistical models are used, with different equations. One common thread is the paradigm of reconstruction from indirect measurements--this is the unifying theme of this report. The imaging methods used in biomedical applications that this report discusses include: (1) x-ray projection imaging; (2) x-ray computed tomography (CT); (3) magnetic resonance imaging (MRI) and magnetic resonance spectroscopy; (4) single photon emission computed tomography (SPECT); (5) positron emission tomography (PET); (6) ultrasonics; (7) electrical source imaging (ESI); (8) electrical impedance tomography (EIT); (9) magnetic source imaging (MSI); and (10) medical optical imaging

Computational Science at the Argonne Leadership Computing Facility

Science.gov (United States)

Romero, Nichols

2014-03-01

The goal of the Argonne Leadership Computing Facility (ALCF) is to extend the frontiers of science by solving problems that require innovative approaches and the largest-scale computing systems. ALCF's most powerful computer - Mira, an IBM Blue Gene/Q system - has nearly one million cores. How does one program such systems? What software tools are available? Which scientific and engineering applications are able to utilize such levels of parallelism? This talk will address these questions and describe a sampling of projects that are using ALCF systems in their research, including ones in nanoscience, materials science, and chemistry. Finally, the ways to gain access to ALCF resources will be presented. This research used resources of the Argonne Leadership Computing Facility at Argonne National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under contract DE-AC02-06CH11357.

Biomedical semantics in the Semantic Web.

Science.gov (United States)

Splendiani, Andrea; Burger, Albert; Paschke, Adrian; Romano, Paolo; Marshall, M Scott

2011-03-07

The Semantic Web offers an ideal platform for representing and linking biomedical information, which is a prerequisite for the development and application of analytical tools to address problems in data-intensive areas such as systems biology and translational medicine. As for any new paradigm, the adoption of the Semantic Web offers opportunities and poses questions and challenges to the life sciences scientific community: which technologies in the Semantic Web stack will be more beneficial for the life sciences? Is biomedical information too complex to benefit from simple interlinked representations? What are the implications of adopting a new paradigm for knowledge representation? What are the incentives for the adoption of the Semantic Web, and who are the facilitators? Is there going to be a Semantic Web revolution in the life sciences?We report here a few reflections on these questions, following discussions at the SWAT4LS (Semantic Web Applications and Tools for Life Sciences) workshop series, of which this Journal of Biomedical Semantics special issue presents selected papers from the 2009 edition, held in Amsterdam on November 20th.

Enabling Earth Science Through Cloud Computing

Science.gov (United States)

Hardman, Sean; Riofrio, Andres; Shams, Khawaja; Freeborn, Dana; Springer, Paul; Chafin, Brian

2012-01-01

Cloud Computing holds tremendous potential for missions across the National Aeronautics and Space Administration. Several flight missions are already benefiting from an investment in cloud computing for mission critical pipelines and services through faster processing time, higher availability, and drastically lower costs available on cloud systems. However, these processes do not currently extend to general scientific algorithms relevant to earth science missions. The members of the Airborne Cloud Computing Environment task at the Jet Propulsion Laboratory have worked closely with the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) mission to integrate cloud computing into their science data processing pipeline. This paper details the efforts involved in deploying a science data system for the CARVE mission, evaluating and integrating cloud computing solutions with the system and porting their science algorithms for execution in a cloud environment.

Introduction Of Computational Materials Science

International Nuclear Information System (INIS)

Lee, Jun Geun

2006-08-01

This book gives, descriptions of computer simulation, computational materials science, typical three ways of computational materials science, empirical methods ; molecular dynamics such as potential energy, Newton's equation of motion, data production and analysis of results, quantum mechanical methods like wave equation, approximation, Hartree method, and density functional theory, dealing of solid such as pseudopotential method, tight-binding methods embedded atom method, Car-Parrinello method and combination simulation.

Computational biomechanics for medicine imaging, modeling and computing

CERN Document Server

Doyle, Barry; Wittek, Adam; Nielsen, Poul; Miller, Karol

2016-01-01

The Computational Biomechanics for Medicine titles provide an opportunity for specialists in computational biomechanics to present their latest methodologies and advancements. This volume comprises eighteen of the newest approaches and applications of computational biomechanics, from researchers in Australia, New Zealand, USA, UK, Switzerland, Scotland, France and Russia. Some of the interesting topics discussed are: tailored computational models; traumatic brain injury; soft-tissue mechanics; medical image analysis; and clinically-relevant simulations. One of the greatest challenges facing the computational engineering community is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, the biomedical sciences, and medicine. We hope the research presented within this book series will contribute to overcoming this grand challenge.

The NASA computer science research program plan

Science.gov (United States)

1983-01-01

A taxonomy of computer science is included, one state of the art of each of the major computer science categories is summarized. A functional breakdown of NASA programs under Aeronautics R and D, space R and T, and institutional support is also included. These areas were assessed against the computer science categories. Concurrent processing, highly reliable computing, and information management are identified.

Welcome to health information science and systems.

Science.gov (United States)

Zhang, Yanchun

2013-01-01

Health Information Science and Systems is an exciting, new, multidisciplinary journal that aims to use technologies in computer science to assist in disease diagnoses, treatment, prediction and monitoring through the modeling, design, development, visualization, integration and management of health related information. These computer-science technologies include such as information systems, web technologies, data mining, image processing, user interaction and interface, sensors and wireless networking and are applicable to a wide range of health related information including medical data, biomedical data, bioinformatics data, public health data.

Factors influencing exemplary science teachers' levels of computer use

Science.gov (United States)

Hakverdi, Meral

This study examines exemplary science teachers' use of technology in science instruction, factors influencing their level of computer use, their level of knowledge/skills in using specific computer applications for science instruction, their use of computer-related applications/tools during their instruction, and their students' use of computer applications/tools in or for their science class. After a relevant review of the literature certain variables were selected for analysis. These variables included personal self-efficacy in teaching with computers, outcome expectancy, pupil-control ideology, level of computer use, age, gender, teaching experience, personal computer use, professional computer use and science teachers' level of knowledge/skills in using specific computer applications for science instruction. The sample for this study includes middle and high school science teachers who received the Presidential Award for Excellence in Science Teaching Award (sponsored by the White House and the National Science Foundation) between the years 1997 and 2003 from all 50 states and U.S. territories. Award-winning science teachers were contacted about the survey via e-mail or letter with an enclosed return envelope. Of the 334 award-winning science teachers, usable responses were received from 92 science teachers, which made a response rate of 27.5%. Analysis of the survey responses indicated that exemplary science teachers have a variety of knowledge/skills in using computer related applications/tools. The most commonly used computer applications/tools are information retrieval via the Internet, presentation tools, online communication, digital cameras, and data collection probes. Results of the study revealed that students' use of technology in their science classroom is highly correlated with the frequency of their science teachers' use of computer applications/tools. The results of the multiple regression analysis revealed that personal self-efficacy related to

Development of Biomedical Polymer-Silicate Nanocomposites: A Materials Science Perspective

Directory of Open Access Journals (Sweden)

Chia-Jung Wu

2010-04-01

Full Text Available Biomedical polymer-silicate nanocomposites have potential to become critically important to the development of biomedical applications, ranging from diagnostic and therapeutic devices, tissue regeneration and drug delivery matrixes to various bio-technologies that are inspired by biology but have only indirect biomedical relation. The fundamental understanding of polymer-nanoparticle interactions is absolutely necessary to control structure-property relationships of materials that need to work within the chemical, physical and biological constraints required by an application. This review summarizes the most recent published strategies to design and develop polymer-silicate nanocomposites (including clay based silicate nanoparticles and bioactive glass nanoparticles for a variety of biomedical applications. Emerging trends in bio-technological and biomedical nanocomposites are highlighted and potential new fields of applications are examined.

Berkeley Lab Computing Sciences: Accelerating Scientific Discovery

International Nuclear Information System (INIS)

Hules, John A.

2008-01-01

Scientists today rely on advances in computer science, mathematics, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences organization researches, develops, and deploys new tools and technologies to meet these needs and to advance research in such areas as global climate change, combustion, fusion energy, nanotechnology, biology, and astrophysics

Advances in Computer Science, Engineering & Applications : Proceedings of the Second International Conference on Computer Science, Engineering & Applications

CERN Document Server

Zizka, Jan; Nagamalai, Dhinaharan

2012-01-01

The International conference series on Computer Science, Engineering & Applications (ICCSEA) aims to bring together researchers and practitioners from academia and industry to focus on understanding computer science, engineering and applications and to establish new collaborations in these areas. The Second International Conference on Computer Science, Engineering & Applications (ICCSEA-2012), held in Delhi, India, during May 25-27, 2012 attracted many local and international delegates, presenting a balanced mixture of  intellect and research both from the East and from the West. Upon a strenuous peer-review process the best submissions were selected leading to an exciting, rich and a high quality technical conference program, which featured high-impact presentations in the latest developments of various areas of computer science, engineering and applications research.

Advances in Computer Science, Engineering & Applications : Proceedings of the Second International Conference on Computer Science, Engineering & Applications

CERN Document Server

Zizka, Jan; Nagamalai, Dhinaharan

2012-01-01

The International conference series on Computer Science, Engineering & Applications (ICCSEA) aims to bring together researchers and practitioners from academia and industry to focus on understanding computer science, engineering and applications and to establish new collaborations in these areas. The Second International Conference on Computer Science, Engineering & Applications (ICCSEA-2012), held in Delhi, India, during May 25-27, 2012 attracted many local and international delegates, presenting a balanced mixture of  intellect and research both from the East and from the West. Upon a strenuous peer-review process the best submissions were selected leading to an exciting, rich and a high quality technical conference program, which featured high-impact presentations in the latest developments of various areas of computer science, engineering and applications research.  

Volunteer Computing for Science Gateways

OpenAIRE

Anderson, David

2017-01-01

This poster offers information about volunteer computing for science gateways that offer high-throughput computing services. Volunteer computing can be used to get computing power. This increases the visibility of the gateway to the general public as well as increasing computing capacity at little cost.

Open access publishing in the biomedical sciences: could funding agencies accelerate the inevitable changes?

Science.gov (United States)

Glover, Steven William; Webb, Anne; Gleghorn, Colette

2006-09-01

Open access is making a noticeable impact on access to information. In 2005, many major research funders, including the Wellcome Trust, National Institutes for Health (NIH), and the Research Councils UK (RCUK), set out their position in a number of statements. Of particular note was the stipulation that authors receiving grants must deposit their final manuscript in an open access forum within 6-12 months of publication. The paper will look at the open access position statements issued by some of the major funding bodies in the biomedical sciences. The paper will also look at the models used by publishers to provide open or delayed access, such as Oxford Open from Oxford University Press, HighWire Press' delayed access policy, BioMed Central, and Public Library of Science (PLoS). There are now over 1.2 million articles in PubMed that are freely accessible via publishers' websites.(1) Could funding agencies accelerate the move to open access? The list of funding agencies supporting open access is growing. The National Institutes for Health and the Wellcome Trust have been joined by many of the world's major funders in biomedical research whose goal it is to make their research findings available with no barriers.

Lecture 10: The European Bioinformatics Institute - "Big data" for biomedical sciences

CERN Multimedia

CERN. Geneva; Dana, Jose

2013-01-01

Part 1: Big data for biomedical sciences (Tom Hancocks) Ten years ago witnessed the completion of the first international 'Big Biology' project that sequenced the human genome. In the years since biological sciences, have seen a vast growth in data. In the coming years advances will come from integration of experimental approaches and the translation into applied technologies is the hospital, clinic and even at home. This talk will examine the development of infrastructure, physical and virtual, that will allow millions of life scientists across Europe better access to biological data Tom studied Human Genetics at the University of Leeds and McMaster University, before completing an MSc in Analytical Genomics at the University of Birmingham. He has worked for the UK National Health Service in diagnostic genetics and in training healthcare scientists and clinicians in bioinformatics. Tom joined the EBI in 2012 and is responsible for the scientific development and delivery of training for the BioMedBridges pr...

Effective use of latent semantic indexing and computational linguistics in biological and biomedical applications.

Science.gov (United States)

Chen, Hongyu; Martin, Bronwen; Daimon, Caitlin M; Maudsley, Stuart

2013-01-01

Text mining is rapidly becoming an essential technique for the annotation and analysis of large biological data sets. Biomedical literature currently increases at a rate of several thousand papers per week, making automated information retrieval methods the only feasible method of managing this expanding corpus. With the increasing prevalence of open-access journals and constant growth of publicly-available repositories of biomedical literature, literature mining has become much more effective with respect to the extraction of biomedically-relevant data. In recent years, text mining of popular databases such as MEDLINE has evolved from basic term-searches to more sophisticated natural language processing techniques, indexing and retrieval methods, structural analysis and integration of literature with associated metadata. In this review, we will focus on Latent Semantic Indexing (LSI), a computational linguistics technique increasingly used for a variety of biological purposes. It is noted for its ability to consistently outperform benchmark Boolean text searches and co-occurrence models at information retrieval and its power to extract indirect relationships within a data set. LSI has been used successfully to formulate new hypotheses, generate novel connections from existing data, and validate empirical data.

CREATIVE APPROACHES TO COMPUTER SCIENCE EDUCATION

Directory of Open Access Journals (Sweden)

V. B. Raspopov

2010-04-01

Full Text Available Using the example of PPS «Toolbox of multimedia lessons «For Children About Chopin» we demonstrate the possibility of involving creative students in developing the software packages for educational purposes. Similar projects can be assigned to school and college students studying computer sciences and informatics, and implemented under the teachers’ supervision, as advanced assignments or thesis projects as a part of a high school course IT or Computer Sciences, a college course of Applied Scientific Research, or as a part of preparation for students’ participation in the Computer Science competitions or IT- competitions of Youth Academy of Sciences ( MAN in Russian or in Ukrainian.

Advances in Computer Science and Engineering

CERN Document Server

Second International Conference on Advances in Computer Science and Engineering (CES 2012)

2012-01-01

This book includes the proceedings of the second International Conference on Advances in Computer Science and Engineering (CES 2012), which was held during January 13-14, 2012 in Sanya, China. The papers in these proceedings of CES 2012 focus on the researchers’ advanced works in their fields of Computer Science and Engineering mainly organized in four topics, (1) Software Engineering, (2) Intelligent Computing, (3) Computer Networks, and (4) Artificial Intelligence Software.

Space life and biomedical sciences in support of the global exploration roadmap and societal development

Science.gov (United States)

Evetts, S. N.

2014-08-01

The human exploration of space is pushing the boundaries of what is technically feasible. The space industry is preparing for the New Space era, the momentum for which will emanate from the commercial human spaceflight sector, and will be buttressed by international solar system exploration endeavours. With many distinctive technical challenges to be overcome, human spaceflight requires that numerous biological and physical systems be examined under exceptional circumstances for progress to be made. To effectively tackle such an undertaking significant intra- and international coordination and collaboration is required. Space life and biomedical science research and development (R & D) will support the Global Exploration Roadmap (GER) by enabling humans to 'endure' the extreme activity that is long duration human spaceflight. In so doing the field will discover solutions to some of our most difficult human health issues, and as a consequence benefit society as a whole. This space-specific R&D will drive a significant amount of terrestrial biomedical research and as a result the international community will not only gain benefits in the form of improved healthcare in space and on Earth, but also through the growth of its science base and industry.

Computer Science Research at Langley

Science.gov (United States)

Voigt, S. J. (Editor)

1982-01-01

A workshop was held at Langley Research Center, November 2-5, 1981, to highlight ongoing computer science research at Langley and to identify additional areas of research based upon the computer user requirements. A panel discussion was held in each of nine application areas, and these are summarized in the proceedings. Slides presented by the invited speakers are also included. A survey of scientific, business, data reduction, and microprocessor computer users helped identify areas of focus for the workshop. Several areas of computer science which are of most concern to the Langley computer users were identified during the workshop discussions. These include graphics, distributed processing, programmer support systems and tools, database management, and numerical methods.

Demystifying computer science for molecular ecologists.

Science.gov (United States)

Belcaid, Mahdi; Toonen, Robert J

2015-06-01

In this age of data-driven science and high-throughput biology, computational thinking is becoming an increasingly important skill for tackling both new and long-standing biological questions. However, despite its obvious importance and conspicuous integration into many areas of biology, computer science is still viewed as an obscure field that has, thus far, permeated into only a few of the biology curricula across the nation. A national survey has shown that lack of computational literacy in environmental sciences is the norm rather than the exception [Valle & Berdanier (2012) Bulletin of the Ecological Society of America, 93, 373-389]. In this article, we seek to introduce a few important concepts in computer science with the aim of providing a context-specific introduction aimed at research biologists. Our goal was to help biologists understand some of the most important mainstream computational concepts to better appreciate bioinformatics methods and trade-offs that are not obvious to the uninitiated. © 2015 John Wiley & Sons Ltd.

Biomedical engineering and society: policy and ethics.

Science.gov (United States)

Flexman, J A; Lazareck, L

2007-01-01

Biomedical engineering impacts health care and contributes to fundamental knowledge in medicine and biology. Policy, such as through regulation and research funding, has the potential to dramatically affect biomedical engineering research and commercialization. New developments, in turn, may affect society in new ways. The intersection of biomedical engineering and society and related policy issues must be discussed between scientists and engineers, policy-makers and the public. As a student, there are many ways to become engaged in the issues surrounding science and technology policy. At the University of Washington in Seattle, the Forum on Science Ethics and Policy (FOSEP, www.fosep.org) was started by graduate students and post-doctoral fellows interested in improving the dialogue between scientists, policymakers and the public and has received support from upper-level administration. This is just one example of how students can start thinking about science policy and ethics early in their careers.

Cloud computing with e-science applications

CERN Document Server

Terzo, Olivier

2015-01-01

The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science. The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then:Discusses the challenges imposed by big data on scientific

Girls Save the World through Computer Science

Science.gov (United States)

Murakami, Christine

2011-01-01

It's no secret that fewer and fewer women are entering computer science fields. Attracting high school girls to computer science is only part of the solution. Retaining them while they are in higher education or the workforce is also a challenge. To solve this, there is a need to show girls that computer science is a wide-open field that offers…

Computing as Empirical Science – Evolution of a Concept

Directory of Open Access Journals (Sweden)

Polak Paweł

2016-12-01

Full Text Available This article presents the evolution of philosophical and methodological considerations concerning empiricism in computer/computing science. In this study, we trace the most important current events in the history of reflection on computing. The forerunners of Artificial Intelligence H.A. Simon and A. Newell in their paper Computer Science As Empirical Inquiry (1975 started these considerations. Later the concept of empirical computer science was developed by S.S. Shapiro, P. Wegner, A.H. Eden and P.J. Denning. They showed various empirical aspects of computing. This led to a view of the science of computing (or science of information processing - the science of general scope. Some interesting contemporary ways towards a generalized perspective on computations were also shown (e.g. natural computing.

International Conference on Computer, Communication and Computational Sciences

CERN Document Server

Mishra, Krishn; Tiwari, Shailesh; Singh, Vivek

2017-01-01

Exchange of information and innovative ideas are necessary to accelerate the development of technology. With advent of technology, intelligent and soft computing techniques came into existence with a wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the ‘Advances in Computer and Computational Sciences’ from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of ‘International Conference on Computer, Communication and Computational Sciences (ICCCCS 2016), held during 12-13 August, 2016 in Ajmer, India. These papers are arranged in the form of chapters. The content of the book is divided into two volumes that cover variety of topics such as intelligent hardware and software design, advanced communications, power and energy optimization, intelligent techniques used in internet of things, intelligent image processing, advanced software engineering, evolutionary and ...

Methodical Approaches to Teaching of Computer Modeling in Computer Science Course

Science.gov (United States)

Rakhimzhanova, B. Lyazzat; Issabayeva, N. Darazha; Khakimova, Tiyshtik; Bolyskhanova, J. Madina

2015-01-01

The purpose of this study was to justify of the formation technique of representation of modeling methodology at computer science lessons. The necessity of studying computer modeling is that the current trends of strengthening of general education and worldview functions of computer science define the necessity of additional research of the…

5th Computer Science On-line Conference

CERN Document Server

Senkerik, Roman; Oplatkova, Zuzana; Silhavy, Petr; Prokopova, Zdenka

2016-01-01

This volume is based on the research papers presented in the 5th Computer Science On-line Conference. The volume Artificial Intelligence Perspectives in Intelligent Systems presents modern trends and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of artificial intelligence. New algorithms in a variety of fields are also presented. The Computer Science On-line Conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.

Physical computation and cognitive science

CERN Document Server

Fresco, Nir

2014-01-01

This book presents a study of digital computation in contemporary cognitive science. Digital computation is a highly ambiguous concept, as there is no common core definition for it in cognitive science. Since this concept plays a central role in cognitive theory, an adequate cognitive explanation requires an explicit account of digital computation. More specifically, it requires an account of how digital computation is implemented in physical systems. The main challenge is to deliver an account encompassing the multiple types of existing models of computation without ending up in pancomputationalism, that is, the view that every physical system is a digital computing system. This book shows that only two accounts, among the ones examined by the author, are adequate for explaining physical computation. One of them is the instructional information processing account, which is developed here for the first time.   “This book provides a thorough and timely analysis of differing accounts of computation while adv...

Computational Science in Armenia (Invited Talk)

Science.gov (United States)

Marandjian, H.; Shoukourian, Yu.

This survey is devoted to the development of informatics and computer science in Armenia. The results in theoretical computer science (algebraic models, solutions to systems of general form recursive equations, the methods of coding theory, pattern recognition and image processing), constitute the theoretical basis for developing problem-solving-oriented environments. As examples can be mentioned: a synthesizer of optimized distributed recursive programs, software tools for cluster-oriented implementations of two-dimensional cellular automata, a grid-aware web interface with advanced service trading for linear algebra calculations. In the direction of solving scientific problems that require high-performance computing resources, examples of completed projects include the field of physics (parallel computing of complex quantum systems), astrophysics (Armenian virtual laboratory), biology (molecular dynamics study of human red blood cell membrane), meteorology (implementing and evaluating the Weather Research and Forecast Model for the territory of Armenia). The overview also notes that the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia has established a scientific and educational infrastructure, uniting computing clusters of scientific and educational institutions of the country and provides the scientific community with access to local and international computational resources, that is a strong support for computational science in Armenia.

Physics vs. computer science

International Nuclear Information System (INIS)

Pike, R.

1982-01-01

With computers becoming more frequently used in theoretical and experimental physics, physicists can no longer afford to be ignorant of the basic techniques and results of computer science. Computing principles belong in a physicist's tool box, along with experimental methods and applied mathematics, and the easiest way to educate physicists in computing is to provide, as part of the undergraduate curriculum, a computing course designed specifically for physicists. As well, the working physicist should interact with computer scientists, giving them challenging problems in return for their expertise. (orig.)

Third Workshop on Teaching Computational Science (WTCS 2009)

NARCIS (Netherlands)

Tirado-Ramos, A.; Shiflet, A.

2009-01-01

The Third Workshop on Teaching Computational Science, within the International Conference on Computational Science, provides a platform for discussing innovations in teaching computational sciences at all levels and contexts of higher education. This editorial provides an introduction to the work

Second Workshop on Teaching Computational Science WTCS 2008

NARCIS (Netherlands)

Tirado-Ramos, A.

2008-01-01

The Second Workshop on Teaching Computational Science, within the International Conference on Computational Science, provides a platform for discussing innovations in teaching computational sciences at all levels and contexts of higher education. This editorial provides an introduction to the work

ASCR Workshop on Quantum Computing for Science

Energy Technology Data Exchange (ETDEWEB)

Aspuru-Guzik, Alan [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Van Dam, Wim [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Farhi, Edward [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Gaitan, Frank [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Humble, Travis [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Jordan, Stephen [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Landahl, Andrew J [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Love, Peter [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Lucas, Robert [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Preskill, John [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Muller, Richard P. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Svore, Krysta [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Wiebe, Nathan [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Williams, Carl [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

2015-06-01

This report details the findings of the DOE ASCR Workshop on Quantum Computing for Science that was organized to assess the viability of quantum computing technologies to meet the computational requirements of the DOE’s science and energy mission, and to identify the potential impact of quantum technologies. The workshop was held on February 17-18, 2015, in Bethesda, MD, to solicit input from members of the quantum computing community. The workshop considered models of quantum computation and programming environments, physical science applications relevant to DOE's science mission as well as quantum simulation, and applied mathematics topics including potential quantum algorithms for linear algebra, graph theory, and machine learning. This report summarizes these perspectives into an outlook on the opportunities for quantum computing to impact problems relevant to the DOE’s mission as well as the additional research required to bring quantum computing to the point where it can have such impact.

Seventh Medical Image Computing and Computer Assisted Intervention Conference (MICCAI 2012)

CERN Document Server

Miller, Karol; Nielsen, Poul; Computational Biomechanics for Medicine : Models, Algorithms and Implementation

2013-01-01

One of the greatest challenges for mechanical engineers is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. This book is an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine. Computational Biomechanics for Medicine: Models, Algorithms and Implementation collects the papers from the Seventh Computational Biomechanics for Medicine Workshop held in Nice in conjunction with the Medical Image Computing and Computer Assisted Intervention conference. The topics covered include: medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, injury mechanism analysis, implant and prostheses design, and medical robotics.

Gender differences in the use of computers, programming, and peer interactions in computer science classrooms

Science.gov (United States)

Stoilescu, Dorian; Egodawatte, Gunawardena

2010-12-01

Research shows that female and male students in undergraduate computer science programs view computer culture differently. Female students are interested more in the use of computers than in doing programming, whereas male students see computer science mainly as a programming activity. The overall purpose of our research was not to find new definitions for computer science culture but to see how male and female students see themselves involved in computer science practices, how they see computer science as a successful career, and what they like and dislike about current computer science practices. The study took place in a mid-sized university in Ontario. Sixteen students and two instructors were interviewed to get their views. We found that male and female views are different on computer use, programming, and the pattern of student interactions. Female and male students did not have any major issues in using computers. In computing programming, female students were not so involved in computing activities whereas male students were heavily involved. As for the opinions about successful computer science professionals, both female and male students emphasized hard working, detailed oriented approaches, and enjoying playing with computers. The myth of the geek as a typical profile of successful computer science students was not found to be true.

Biomedical Science Ph.D. Career Interest Patterns by Race/Ethnicity and Gender.

Directory of Open Access Journals (Sweden)

Kenneth D Gibbs

Full Text Available Increasing biomedical workforce diversity remains a persistent challenge. Recent reports have shown that biomedical sciences (BMS graduate students become less interested in faculty careers as training progresses; however, it is unclear whether or how the career preferences of women and underrepresented minority (URM scientists change in manners distinct from their better-represented peers. We report results from a survey of 1500 recent American BMS Ph.D. graduates (including 276 URMs that examined career preferences over the course of their graduate training experiences. On average, scientists from all social backgrounds showed significantly decreased interest in faculty careers at research universities, and significantly increased interest in non-research careers at Ph.D. completion relative to entry. However, group differences emerged in overall levels of interest (at Ph.D. entry and completion, and the magnitude of change in interest in these careers. Multiple logistic regression showed that when controlling for career pathway interest at Ph.D. entry, first-author publication rate, faculty support, research self-efficacy, and graduate training experiences, differences in career pathway interest between social identity groups persisted. All groups were less likely than men from well-represented (WR racial/ethnic backgrounds to report high interest in faculty careers at research-intensive universities (URM men: OR 0.60, 95% CI: 0.36-0.98, p = 0.04; WR women: OR: 0.64, 95% CI: 0.47-0.89, p = 0.008; URM women: OR: 0.46, 95% CI: 0.30-0.71, p<0.001, and URM women were more likely than all other groups to report high interest in non-research careers (OR: 1.93, 95% CI: 1.28-2.90, p = 0.002. The persistence of disparities in the career interests of Ph.D. recipients suggests that a supply-side (or "pipeline" framing of biomedical workforce diversity challenges may limit the effectiveness of efforts to attract and retain the best and most

Implementing an Affordable High-Performance Computing for Teaching-Oriented Computer Science Curriculum

Science.gov (United States)

Abuzaghleh, Omar; Goldschmidt, Kathleen; Elleithy, Yasser; Lee, Jeongkyu

2013-01-01

With the advances in computing power, high-performance computing (HPC) platforms have had an impact on not only scientific research in advanced organizations but also computer science curriculum in the educational community. For example, multicore programming and parallel systems are highly desired courses in the computer science major. However,…

A survey of computational physics introductory computational science

CERN Document Server

Landau, Rubin H; Bordeianu, Cristian C

2008-01-01

Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions. The next step beyond Landau's First Course in Scientific Computing and a follow-up to Landau and Páez's Computational Physics, this text presents a broad survey of key topics in computational physics for advanced undergraduates and beginning graduate students, including new discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics

Computational Science: Ensuring America's Competitiveness

National Research Council Canada - National Science Library

Reed, Daniel A; Bajcsy, Ruzena; Fernandez, Manuel A; Griffiths, Jose-Marie; Mott, Randall D; Dongarra, J. J; Johnson, Chris R; Inouye, Alan S; Miner, William; Matzke, Martha K; Ponick, Terry L

2005-01-01

Computational science is now indispensable to the solution of complex problems in every sector, from traditional science and engineering domains to such key areas as national security, public health...

Navigating the Path to a Biomedical Science Career

Science.gov (United States)

Zimmerman, Andrea McNeely

The number of biomedical PhD scientists being trained and graduated far exceeds the number of academic faculty positions and academic research jobs. If this trend is compelling biomedical PhD scientists to increasingly seek career paths outside of academia, then more should be known about their intentions, desires, training experiences, and career path navigation. Therefore, the purpose of this study was to understand the process through which biomedical PhD scientists are trained and supported for navigating future career paths. In addition, the study sought to determine whether career development support efforts and opportunities should be redesigned to account for the proportion of PhD scientists following non-academic career pathways. Guided by the social cognitive career theory (SCCT) framework this study sought to answer the following central research question: How does a southeastern tier 1 research university train and support its biomedical PhD scientists for navigating their career paths? Key findings are: Many factors influence PhD scientists' career sector preference and job search process, but the most influential were relationships with faculty, particularly the mentor advisor; Planned activities are a significant aspect of the training process and provide skills for career success; and Planned activities provided skills necessary for a career, but influential factors directed the career path navigated. Implications for practice and future research are discussed.

Soft computing in computer and information science

CERN Document Server

Fray, Imed; Pejaś, Jerzy

2015-01-01

This book presents a carefully selected and reviewed collection of papers presented during the 19th Advanced Computer Systems conference ACS-2014. The Advanced Computer Systems conference concentrated from its beginning on methods and algorithms of artificial intelligence. Further future brought new areas of interest concerning technical informatics related to soft computing and some more technological aspects of computer science such as multimedia and computer graphics, software engineering, web systems, information security and safety or project management. These topics are represented in the present book under the categories Artificial Intelligence, Design of Information and Multimedia Systems, Information Technology Security and Software Technologies.

The medical science DMZ: a network design pattern for data-intensive medical science

Energy Technology Data Exchange (ETDEWEB)

Peisert, Sean [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Davis, CA (United States). Dept. of computer Science; Corporation for Education Network Initiatives in California (CENIC), Berkeley, CA (United States); Dart, Eli [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). ESnet; Barnett, William [Indiana Univ., Indianapolis, IN (United States). Indiana Clinical and Translational Sciences Inst., Regenstrief Inst.; Balas, Edward [Indiana Univ., Bloomington, IN (United States). Global Research Network Operations Center; Cuff, James [Harvard Univ., Cambridge, MA (United States). Research Computing; Grossman, Robert L. [Univ. of Chicago, IL (United States). Center for Data Intensive Science; Berman, Ari [BioTeam, Middleton, MA (United States); Shankar, Anurag [Indiana Univ., Bloomington, IN (United States). Pervasive Technology Inst.; Tierney, Brian [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). ESnet

2017-10-06

We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations.High-end networking, packet-filter firewalls, network intrusion-detection systems.We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs.The exponentially increasing amounts of "omics" data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of biomedical research "Big Data." The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for biomedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical sciences and engineering research to manage high-capacity data flows.By implementing a Medical Science DMZ architecture, biomedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high

Soft Computing Techniques in Vision Science

CERN Document Server

Yang, Yeon-Mo

2012-01-01

This Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras and other Nano optical devices with the metaphor of Nano Science and Technology. Still these systems are falling short of its computational aspect to achieve the pinnacle of human vision system. In this edited volume much attention has been given to address the coupling issues Computational Science and Vision Studies.  It is a comprehensive collection of research works addressing various related areas of Vision Science like Visual Perception and Visual system, Cognitive Psychology, Neuroscience, Psychophysics and Ophthalmology, linguistic relativity, color vision etc. This issue carries some latest developments in the form of research articles and presentations. The volume is rich of contents with technical tools ...

Privacy and legal issues in cloud computing

CERN Document Server

Weber, Rolf H

2015-01-01

Adopting a multi-disciplinary and comparative approach, this book focuses on emerging and innovative attempts to tackle privacy and legal issues in cloud computing, such as personal data privacy, security and intellectual property protection. Leading international academics and practitioners in the fields of law and computer science examine the specific legal implications of cloud computing pertaining to jurisdiction, biomedical practice and information ownership. This collection offers original and critical responses to the rising challenges posed by cloud computing.

Career Services | College of Engineering & Applied Science

Science.gov (United States)

@ 10:00 am - 2:00 pm Wisconsin Room, UWM Student Union Register today! Engineering Careers Careers in Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Energy Doctoral Programs in Engineering Non-Degree Candidate Departments Biomedical Engineering

International Journal of Medicine and Biomedical Research

African Journals Online (AJOL)

The International Journal of Medicine and Biomedical Research (IJMBR) is a peer-reviewed ... useful to researchers in all aspects of Clinical and Basic Medical Sciences including Anatomical Sciences, Biochemistry, Dentistry, Genetics, ...

Are Graduate Students Rational? Evidence from the Market for Biomedical Scientists

Science.gov (United States)

Blume-Kohout, Margaret E.; Clack, John W.

2013-01-01

The U.S. National Institutes of Health (NIH) budget expansion from 1998 through 2003 increased demand for biomedical research, raising relative wages and total employment in the market for biomedical scientists. However, because research doctorates in biomedical sciences can often take six years or more to complete, the full labor supply response to such changes in market conditions is not immediate, but rather is observed over a period of several years. Economic rational expectations models assume that prospective students anticipate these future changes, and also that students take into account the opportunity costs of their pursuing graduate training. Prior empirical research on student enrollment and degree completions in science and engineering (S&E) fields indicates that “cobweb” expectations prevail: that is, at least in theory, prospective graduate students respond to contemporaneous changes in market wages and employment, but do not forecast further changes that will arise by the time they complete their degrees and enter the labor market. In this article, we analyze time-series data on wages and employment of biomedical scientists versus alternative careers, on completions of S&E bachelor's degrees and biomedical sciences PhDs, and on research expenditures funded both by NIH and by biopharmaceutical firms, to examine the responsiveness of the biomedical sciences labor supply to changes in market conditions. Consistent with previous studies, we find that enrollments and completions in biomedical sciences PhD programs are responsive to market conditions at the time of students' enrollment. More striking, however, is the close correspondence between graduate student enrollments and completions, and changes in availability of NIH-funded traineeships, fellowships, and research assistantships. PMID:24376573

Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.

Science.gov (United States)

Hruby, Gregory W; Matsoukas, Konstantina; Cimino, James J; Weng, Chunhua

2016-04-01

Electronic health records (EHR) are a vital data resource for research uses, including cohort identification, phenotyping, pharmacovigilance, and public health surveillance. To realize the promise of EHR data for accelerating clinical research, it is imperative to enable efficient and autonomous EHR data interrogation by end users such as biomedical researchers. This paper surveys state-of-art approaches and key methodological considerations to this purpose. We adapted a previously published conceptual framework for interactive information retrieval, which defines three entities: user, channel, and source, by elaborating on channels for query formulation in the context of facilitating end users to interrogate EHR data. We show the current progress in biomedical informatics mainly lies in support for query execution and information modeling, primarily due to emphases on infrastructure development for data integration and data access via self-service query tools, but has neglected user support needed during iteratively query formulation processes, which can be costly and error-prone. In contrast, the information science literature has offered elaborate theories and methods for user modeling and query formulation support. The two bodies of literature are complementary, implying opportunities for cross-disciplinary idea exchange. On this basis, we outline the directions for future informatics research to improve our understanding of user needs and requirements for facilitating autonomous interrogation of EHR data by biomedical researchers. We suggest that cross-disciplinary translational research between biomedical informatics and information science can benefit our research in facilitating efficient data access in life sciences. Copyright © 2016 Elsevier Inc. All rights reserved.

Molecular Biomedical Imaging Laboratory (MBIL)

Data.gov (United States)

Federal Laboratory Consortium — The Molecular Biomedical Imaging Laboratory (MBIL) is adjacent-a nd has access-to the Department of Radiology and Imaging Sciences clinical imaging facilities. MBIL...

Digital Da Vinci computers in the arts and sciences

CERN Document Server

Lee, Newton

2014-01-01

Explores polymathic education through unconventional and creative applications of computer science in the arts and sciences Examines the use of visual computation, 3d printing, social robotics and computer modeling for computational art creation and design Includes contributions from leading researchers and practitioners in computer science, architecture and digital media

Labour market expectation of Nigerian computer science ...

African Journals Online (AJOL)

... of Nigerian computer science / Information Communication Technology (ICT) graduates. ... It also x-rays the women performance in Computer Science. ... key players were analyzed using variables such as competence, creativity, innovation, ...

Multiple choice questions are superior to extended matching questions to identify medicine and biomedical sciences students who perform poorly.

NARCIS (Netherlands)

Eijsvogels, T.M.H.; Brand, T.L. van den; Hopman, M.T.E.

2013-01-01

In recent years, medical faculties at Dutch universities have implemented a legally binding study advice to students of medicine and biomedical sciences during their propaedeutic phase. Appropriate examination is essential to discriminate between poor (grade <6), moderate (grade 6-8) and excellent

Los Alamos Life Sciences Division's biomedical and environmental research programs. Progress report, January-December 1981. [Leading abstract

Energy Technology Data Exchange (ETDEWEB)

Holland, L.M.; Stafford, C.G. (comps.)

1982-10-01

This report summarizes research and development activities of the Los Alamos Life Sciences Division's Biomedical and Environmental Research program for the calendar year 1981. Individual reports describing the current status of projects have been entered individually into the data base.

Research in computer science

Science.gov (United States)

Ortega, J. M.

1986-01-01

Various graduate research activities in the field of computer science are reported. Among the topics discussed are: (1) failure probabilities in multi-version software; (2) Gaussian Elimination on parallel computers; (3) three dimensional Poisson solvers on parallel/vector computers; (4) automated task decomposition for multiple robot arms; (5) multi-color incomplete cholesky conjugate gradient methods on the Cyber 205; and (6) parallel implementation of iterative methods for solving linear equations.

Marrying Content and Process in Computer Science Education

Science.gov (United States)

Zendler, A.; Spannagel, C.; Klaudt, D.

2011-01-01

Constructivist approaches to computer science education emphasize that as well as knowledge, thinking skills and processes are involved in active knowledge construction. K-12 computer science curricula must not be based on fashions and trends, but on contents and processes that are observable in various domains of computer science, that can be…

Theoretical Computer Science

DEFF Research Database (Denmark)

2002-01-01

The proceedings contains 8 papers from the Conference on Theoretical Computer Science. Topics discussed include: query by committee, linear separation and random walks; hardness results for neural network approximation problems; a geometric approach to leveraging weak learners; mind change...

EnQuest | College of Engineering & Applied Science

Science.gov (United States)

engineering camp, in which high school girls explore careers in engineering. It is held at the University of Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Energy Doctoral Programs in Engineering Non-Degree Candidate Departments Biomedical Engineering

Biomedical neutron research at the Californium User Facility for neutron science

International Nuclear Information System (INIS)

Martin, R.C.; Byrne, T.E.; Miller, L.F.

1997-01-01

The Californium User Facility for Neutron Science has been established at Oak Ridge National Laboratory (ORNL). The Californium User Facility (CUF) is a part of the larger Californium Facility, which fabricates and stores compact 252 Cf neutron sources for worldwide distribution. The CUF can provide a cost-effective option for research with 252 Cf sources. Three projects at the CUF that demonstrate the versatility of 252 Cf for biological and biomedical neutron-based research are described: future establishment of a 252 Cf-based neutron activation analysis system, ongoing work to produce miniature high-intensity, remotely afterloaded 252 Cf sources for tumor therapy, and a recent experiment that irradiated living human lung cancer cells impregnated with experimental boron compounds to test their effectiveness for boron neutron capture therapy

The role of a creative "joint assignment" project in biomedical engineering bachelor degree education.

Science.gov (United States)

Jiehui Jiang; Yuting Zhang; Mi Zhou; Xiaosong Zheng; Zhuangzhi Yan

2017-07-01

Biomedical Engineering (BME) bachelor education aims to train qualified engineers who devote themselves to addressing biological and medical problems by integrating the technological, medical and biological knowledge. Design thinking and teamwork with other disciplines are necessary for biomedical engineers. In the current biomedical engineering education system of Shanghai University (SHU), however, such design thinking and teamwork through a practical project is lacking. This paper describes a creative "joint assignment" project in Shanghai University, China, which has provided BME bachelor students a two-year practical experience to work with students from multidisciplinary departments including sociology, mechanics, computer sciences, business and art, etc. To test the feasibility of this project, a twenty-month pilot project has been carried out from May 2015 to December 2016. The results showed that this pilot project obviously enhanced competitive power of BME students in Shanghai University, both in the capabilities of design thinking and teamwork.

SIAM Conference on Computational Science and Engineering

Energy Technology Data Exchange (ETDEWEB)

None, None

2005-08-29

The Second SIAM Conference on Computational Science and Engineering was held in San Diego from February 10-12, 2003. Total conference attendance was 553. This is a 23% increase in attendance over the first conference. The focus of this conference was to draw attention to the tremendous range of major computational efforts on large problems in science and engineering, to promote the interdisciplinary culture required to meet these large-scale challenges, and to encourage the training of the next generation of computational scientists. Computational Science & Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third mode of scientific investigation and engineering design. Aerospace, automotive, biological, chemical, semiconductor, and other industrial sectors now rely on simulation for technical decision support. For federal agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense. CS&E is, by nature, interdisciplinary. It grows out of physical applications and it depends on computer architecture, but at its heart are powerful numerical algorithms and sophisticated computer science techniques. From an applied mathematics perspective, much of CS&E has involved analysis, but the future surely includes optimization and design, especially in the presence of uncertainty. Another mathematical frontier is the assimilation of very large data sets through such techniques as adaptive multi-resolution, automated feature search, and low-dimensional parameterization. The themes of the 2003 conference included, but were not limited to: Advanced Discretization Methods; Computational Biology and Bioinformatics; Computational Chemistry and Chemical Engineering; Computational Earth and Atmospheric Sciences; Computational Electromagnetics; Computational Fluid Dynamics; Computational Medicine and Bioengineering; Computational Physics and Astrophysics; Computational Solid Mechanics and Materials; CS

A Financial Technology Entrepreneurship Program for Computer Science Students

Science.gov (United States)

Lawler, James P.; Joseph, Anthony

2011-01-01

Education in entrepreneurship is becoming a critical area of curricula for computer science students. Few schools of computer science have a concentration in entrepreneurship in the computing curricula. The paper presents Technology Entrepreneurship in the curricula at a leading school of computer science and information systems, in which students…

Science at the interstices: an evolution in the academy.

Science.gov (United States)

Balser, Jeffrey R; Baruchin, Andrea

2008-09-01

Biomedical science is at an evolutionary turning point. Many of the rate-limiting steps to realizing the next generation of personalized, highly targeted diagnostics and therapeutics rest at the interstices between biomedical science and the classic, university-based disciplines, such as physics, mathematics, computational science, engineering, social sciences, business, and law. Institutes, centers, or other entities created to foster interdisciplinary science are rapidly forming to tackle these formidable challenges, but they are plagued with substantive barriers, born of traditions, processes, and culture, which impede scientific progress and endanger success. Without a more seamless interdisciplinary framework, academic health centers will struggle to move transformative advances in technology into the foundation of biomedical science, and the equally challenging advancement of models that effectively integrate new molecular diagnostics and therapies into the business and social fabric of our population will be similarly hampered. At the same time, excess attention on rankings tied to competition for National Institutes of Health and other federal funds adversely encourages academic medical centers (AMCs) and universities to hoard, rather than share, resources effectively and efficiently. To fully realize their discovery potential, AMCs must consider a substantive realignment relative to one another, as well as with their associated universities, as the academy looks toward innovative approaches to provide a more supportive foundation for the emergent biomedical research enterprise. The authors discuss potential models that could serve to lower barriers to interdisciplinary science, promoting a new synergy between AMCs and their parent universities.

Computer science approach to quantum control

International Nuclear Information System (INIS)

Janzing, D.

2006-01-01

Whereas it is obvious that every computation process is a physical process it has hardly been recognized that many complex physical processes bear similarities to computation processes. This is in particular true for the control of physical systems on the nanoscopic level: usually the system can only be accessed via a rather limited set of elementary control operations and for many purposes only a concatenation of a large number of these basic operations will implement the desired process. This concatenation is in many cases quite similar to building complex programs from elementary steps and principles for designing algorithm may thus be a paradigm for designing control processes. For instance, one can decrease the temperature of one part of a molecule by transferring its heat to the remaining part where it is then dissipated to the environment. But the implementation of such a process involves a complex sequence of electromagnetic pulses. This work considers several hypothetical control processes on the nanoscopic level and show their analogy to computation processes. We show that measuring certain types of quantum observables is such a complex task that every instrument that is able to perform it would necessarily be an extremely powerful computer. Likewise, the implementation of a heat engine on the nanoscale requires to process the heat in a way that is similar to information processing and it can be shown that heat engines with maximal efficiency would be powerful computers, too. In the same way as problems in computer science can be classified by complexity classes we can also classify control problems according to their complexity. Moreover, we directly relate these complexity classes for control problems to the classes in computer science. Unifying notions of complexity in computer science and physics has therefore two aspects: on the one hand, computer science methods help to analyze the complexity of physical processes. On the other hand, reasonable

Mathematics and Computer Science: The Interplay

OpenAIRE

Madhavan, Veni CE

2005-01-01

Mathematics has been an important intellectual preoccupation of man for a long time. Computer science as a formal discipline is about seven decades young. However, one thing in common between all users and producers of mathematical thought is the almost involuntary use of computing. In this article, we bring to fore the many close connections and parallels between the two sciences of mathematics and computing. We show that, unlike in the other branches of human inquiry where mathematics is me...

NDE in biomedical engineering

International Nuclear Information System (INIS)

Bhagwat, Aditya; Kumar, Pradeep

2015-01-01

Biomedical Engineering (BME) is an interdisciplinary field, marking the conjunction of Medical and Engineering disciplines. It combines the design and problem solving skills of engineering with medical and biological sciences to advance health care treatment, including diagnosis, monitoring, and therapy

Biomedical ontologies: toward scientific debate.

Science.gov (United States)

Maojo, V; Crespo, J; García-Remesal, M; de la Iglesia, D; Perez-Rey, D; Kulikowski, C

2011-01-01

Biomedical ontologies have been very successful in structuring knowledge for many different applications, receiving widespread praise for their utility and potential. Yet, the role of computational ontologies in scientific research, as opposed to knowledge management applications, has not been extensively discussed. We aim to stimulate further discussion on the advantages and challenges presented by biomedical ontologies from a scientific perspective. We review various aspects of biomedical ontologies going beyond their practical successes, and focus on some key scientific questions in two ways. First, we analyze and discuss current approaches to improve biomedical ontologies that are based largely on classical, Aristotelian ontological models of reality. Second, we raise various open questions about biomedical ontologies that require further research, analyzing in more detail those related to visual reasoning and spatial ontologies. We outline significant scientific issues that biomedical ontologies should consider, beyond current efforts of building practical consensus between them. For spatial ontologies, we suggest an approach for building "morphospatial" taxonomies, as an example that could stimulate research on fundamental open issues for biomedical ontologies. Analysis of a large number of problems with biomedical ontologies suggests that the field is very much open to alternative interpretations of current work, and in need of scientific debate and discussion that can lead to new ideas and research directions.

Computer science and the recent innovations of the modern society

Directory of Open Access Journals (Sweden)

Greorghe Popescu

2010-12-01

Full Text Available The paper “Computer science and the recent innovations of the modern society” presents the importance of computer science, with the most important historical moments in its evolution, the main theoretical elements of the computation science, computer elements and architecture and the latest innovations in the computer science, such as Artificial Intelligence.

Computer science I essentials

CERN Document Server

Raus, Randall

2012-01-01

REA's Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Computer Science I includes fundamental computer concepts, number representations, Boolean algebra, switching circuits, and computer architecture.

Career Coaches as a Source of Vicarious Learning for Racial and Ethnic Minority PhD Students in the Biomedical Sciences: A Qualitative Study.

Science.gov (United States)

Williams, Simon N; Thakore, Bhoomi K; McGee, Richard

2016-01-01

Many recent mentoring initiatives have sought to help improve the proportion of underrepresented racial and ethnic minorities (URMs) in academic positions across the biomedical sciences. However, the intractable nature of the problem of underrepresentation suggests that many young scientists may require supplemental career development beyond what many mentors are able to offer. As an adjunct to traditional scientific mentoring, we created a novel academic career "coaching" intervention for PhD students in the biomedical sciences. To determine whether and how academic career coaches can provide effective career-development-related learning experiences for URM PhD students in the biomedical sciences. We focus specifically on vicarious learning experiences, where individuals learn indirectly through the experiences of others. The intervention is being tested as part of a longitudinal randomized control trial (RCT). Here, we describe a nested qualitative study, using a framework approach to analyze data from a total of 48 semi-structured interviews from 24 URM PhD students (2 interviews per participant, 1 at baseline, 1 at 12-month follow-up) (16 female, 8 male; 11 Black, 12 Hispanic, 1 Native-American). We explored the role of the coach as a source of vicarious learning, in relation to the students' goal of being future biomedical science faculty. Coaches were resources through which most students in the study were able to learn vicariously about how to pursue, and succeed within, an academic career. Coaches were particularly useful in instances where students' research mentors are unable to provide such vicarious learning opportunities, for example because the mentor is too busy to have career-related discussions with a student, or because they have, or value, a different type of academic career to the type the student hopes to achieve. Coaching can be an important way to address the lack of structured career development that students receive in their home training

Enabling Large-Scale Biomedical Analysis in the Cloud

Directory of Open Access Journals (Sweden)

Ying-Chih Lin

2013-01-01

Full Text Available Recent progress in high-throughput instrumentations has led to an astonishing growth in both volume and complexity of biomedical data collected from various sources. The planet-size data brings serious challenges to the storage and computing technologies. Cloud computing is an alternative to crack the nut because it gives concurrent consideration to enable storage and high-performance computing on large-scale data. This work briefly introduces the data intensive computing system and summarizes existing cloud-based resources in bioinformatics. These developments and applications would facilitate biomedical research to make the vast amount of diversification data meaningful and usable.

Mentoring Interventions for Underrepresented Scholars in Biomedical and Behavioral Sciences: Effects on Quality of Mentoring Interactions and Discussions

Science.gov (United States)

Lewis, Vivian; Martina, Camille A.; McDermott, Michael P.; Chaudron, Linda; Trief, Paula M.; LaGuardia, Jennifer G.; Sharp, Daryl; Goodman, Steven R.; Morse, Gene D.; Ryan, Richard M.

2017-01-01

Mentors rarely receive education about the unique needs of underrepresented scholars in the biomedical and behavioral sciences. We hypothesized that mentor-training and peer-mentoring interventions for these scholars would enrich the perceived quality and breadth of discussions between mentor-protégé dyads (i.e., mentor-protégé pairs). Our…

Computer and Information Sciences II : 26th International Symposium on Computer and Information Sciences

CERN Document Server

Lent, Ricardo; Sakellari, Georgia

2012-01-01

Information technology is the enabling foundation for all of human activity at the beginning of the 21st century, and advances in this area are crucial to all of us. These advances are taking place all over the world and can only be followed and perceived when researchers from all over the world assemble, and exchange their ideas in conferences such as the one presented in this proceedings volume regarding the 26th International Symposium on Computer and Information Systems, held at the Royal Society in London on 26th to 28th September 2011. Computer and Information Sciences II contains novel advances in the state of the art covering applied research in electrical and computer engineering and computer science, across the broad area of information technology. It provides access to the main innovative activities in research across the world, and points to the results obtained recently by some of the most active teams in both Europe and Asia.

Game based learning for computer science education

NARCIS (Netherlands)

Schmitz, Birgit; Czauderna, André; Klemke, Roland; Specht, Marcus

2011-01-01

Schmitz, B., Czauderna, A., Klemke, R., & Specht, M. (2011). Game based learning for computer science education. In G. van der Veer, P. B. Sloep, & M. van Eekelen (Eds.), Computer Science Education Research Conference (CSERC '11) (pp. 81-86). Heerlen, The Netherlands: Open Universiteit.

Patient identity management for secondary use of biomedical research data in a distributed computing environment.

Science.gov (United States)

Nitzlnader, Michael; Schreier, Günter

2014-01-01

Dealing with data from different source domains is of increasing importance in today's large scale biomedical research endeavours. Within the European Network for Cancer research in Children and Adolescents (ENCCA) a solution to share such data for secondary use will be established. In this paper the solution arising from the aims of the ENCCA project and regulatory requirements concerning data protection and privacy is presented. Since the details of secondary biomedical dataset utilisation are often not known in advance, data protection regulations are met with an identity management concept that facilitates context-specific pseudonymisation and a way of data aggregation using a hidden reference table later on. Phonetic hashing is proposed to prevent duplicated patient registration and re-identification of patients is possible via a trusted third party only. Finally, the solution architecture allows for implementation in a distributed computing environment, including cloud-based elements.

Computer modelling for better diagnosis and therapy of patients by cardiac resynchronisation therapy

NARCIS (Netherlands)

Pluijmert, Marieke; Lumens, Joost; Potse, Mark; Delhaas, Tammo; Auricchio, Angelo; Prinzen, Frits W

2015-01-01

Mathematical or computer models have become increasingly popular in biomedical science. Although they are a simplification of reality, computer models are able to link a multitude of processes to each other. In the fields of cardiac physiology and cardiology, models can be used to describe the

Biomedical neutron research at the Californium User Facility for Neutron Science

International Nuclear Information System (INIS)

Martin, R.C.; Byrne, T.E.; Miller, L.F.

1998-01-01

The Californium User Facility for Neutron Science has been established at Oak Ridge National Laboratory (ORNL). The Californium User Facility (CUF) is a part of the larger Californium Facility, which fabricates and stores compact 252 Cf neutron sources for worldwide distribution. The CUF can provide a cost-effective option for research with 252 Cf sources. Three projects at the CUF that demonstrate the versatility of 252 Cf for biological and biomedical neutron-based research are described: future establishment of a 252 Cf-based neutron activation analysis system, ongoing work to produce miniature high-intensity, remotely afterloaded 252 Cf sources for tumor therapy, and a recent experiment that irradiated living human lung cancer cells impregnated with experimental boron compounds to test their effectiveness for boron neutron capture therapy. (author)

Introduction to applied statistical signal analysis guide to biomedical and electrical engineering applications

CERN Document Server

Shiavi, Richard

2007-01-01

Introduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech.Introduction to Applied Statistical Signal Analysis intertwines theory and implementation with practical examples and exercises. Topics presented in detail include: mathematical

VII Latin American Congress on Biomedical Engineering

CERN Document Server

Bustamante, John; Sierra, Daniel

2017-01-01

This volume presents the proceedings of the CLAIB 2016, held in Bucaramanga, Santander, Colombia, 26, 27 & 28 October 2016. The proceedings, presented by the Regional Council of Biomedical Engineering for Latin America (CORAL), offer research findings, experiences and activities between institutions and universities to develop Bioengineering, Biomedical Engineering and related sciences. The conferences of the American Congress of Biomedical Engineering are sponsored by the International Federation for Medical and Biological Engineering (IFMBE), Society for Engineering in Biology and Medicine (EMBS) and the Pan American Health Organization (PAHO), among other organizations and international agencies to bring together scientists, academics and biomedical engineers in Latin America and other continents in an environment conducive to exchange and professional growth.

Computer science in Dutch secondary education: independent or integrated?

NARCIS (Netherlands)

van der Sijde, Peter; Doornekamp, B.G.

1992-01-01

Nowadays, in Dutch secondary education, computer science is integrated within school subjects. About ten years ago computer science was considered an independent subject, but in the mid-1980s this idea changed. In our study we investigated whether the objectives of teaching computer science as an

Biomedical laboratory science education: standardising teaching content in resource-limited countries

Directory of Open Access Journals (Sweden)

Wendy Arneson

2013-06-01

Full Text Available Background: There is a worldwide shortage of qualified laboratory personnel to provide adequate testing for the detection and monitoring of diseases. In an effort to increase laboratory capacity in developing countries, new skills have been introduced into laboratory services. Curriculum revision with a focus on good laboratory practice is an important aspect of supplying entry-level graduates with the competencies needed to meet the current needs. Objectives: Gaps in application and problem-solving competencies of newly graduated laboratory personnel were discovered in Ethiopia, Tanzania and Kenya. New medical laboratory teaching content was developed in Ethiopia, Tanzania and Kenya using national instructors, tutors, and experts and consulting medical laboratory educators from the United States of America (USA. Method: Workshops were held in Ethiopia to create standardised biomedical laboratory science (BMLS lessons based on recently-revised course objectives with an emphasis on application of skills. In Tanzania, course-module teaching guides with objectives were developed based on established competency outcomes and tasks. In Kenya, example interactive presentations and lesson plans were developed by the USA medical laboratory educators prior to the workshop to serve as resources and templates for the development of lessons within the country itself. Results: The new teaching materials were implemented and faculty, students and other stakeholders reported successful outcomes. Conclusions: These approaches to updating curricula may be helpful as biomedical laboratory schools in other countries address gaps in the competencies of entry-level graduates.

Summary of researches being performed in the Institute of Mathematics and Computer Science on computer science and information technologies

Directory of Open Access Journals (Sweden)

Artiom Alhazov

2008-07-01

Full Text Available Evolution of the informatization notion (which assumes automation of majority of human activities applying computers, computer networks, information technologies towards the notion of {\\it Global Information Society} (GIS challenges the determination of new paradigms of society: automation and intellectualization of production, new level of education and teaching, formation of new styles of work, active participation in decision making, etc. To assure transition to GIS for any society, including that from Republic of Moldova, requires both special training and broad application of progressive technologies and information systems. Methodological aspects concerning impact of GIS creation over the citizen, economic unit, national economy in the aggregate demands a profound study. Without systematic approach to these aspects the GIS creation would have confront great difficulties. Collective of researchers from the Institute of Mathematics and Computer Science (IMCS of Academy of Sciences of Moldova, which work in the field of computer science, constitutes the center of advanced researches and activates in those directions of researches of computer science which facilitate technologies and applications without of which the development of GIS cannot be assured.

Empirical Determination of Competence Areas to Computer Science Education

Science.gov (United States)

Zendler, Andreas; Klaudt, Dieter; Seitz, Cornelia

2014-01-01

The authors discuss empirically determined competence areas to K-12 computer science education, emphasizing the cognitive level of competence. The results of a questionnaire with 120 professors of computer science serve as a database. By using multi-dimensional scaling and cluster analysis, four competence areas to computer science education…

Factors Influencing Exemplary Science Teachers' Levels of Computer Use

Science.gov (United States)

Hakverdi, Meral; Dana, Thomas M.; Swain, Colleen

2011-01-01

The purpose of this study was to examine exemplary science teachers' use of technology in science instruction, factors influencing their level of computer use, their level of knowledge/skills in using specific computer applications for science instruction, their use of computer-related applications/tools during their instruction, and their…

3rd Computer Science On-line Conference

CERN Document Server

Senkerik, Roman; Oplatkova, Zuzana; Silhavy, Petr; Prokopova, Zdenka

2014-01-01

This book is based on the research papers presented in the 3rd Computer Science On-line Conference 2014 (CSOC 2014).   The conference is intended to provide an international forum for discussions on the latest high-quality research results in all areas related to Computer Science. The topics addressed are the theoretical aspects and applications of Artificial Intelligences, Computer Science, Informatics and Software Engineering.   The authors provide new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in their field. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented.   This book is divided into three sections and covers topics including Artificial Intelligence, Computer Science and Software Engineering. Each section consists of new theoretical contributions and applications which can be used for the further development of knowledge of everybod...

Computational Exposure Science: An Emerging Discipline to ...

Science.gov (United States)

Background: Computational exposure science represents a frontier of environmental science that is emerging and quickly evolving.Objectives: In this commentary, we define this burgeoning discipline, describe a framework for implementation, and review some key ongoing research elements that are advancing the science with respect to exposure to chemicals in consumer products.Discussion: The fundamental elements of computational exposure science include the development of reliable, computationally efficient predictive exposure models; the identification, acquisition, and application of data to support and evaluate these models; and generation of improved methods for extrapolating across chemicals. We describe our efforts in each of these areas and provide examples that demonstrate both progress and potential.Conclusions: Computational exposure science, linked with comparable efforts in toxicology, is ushering in a new era of risk assessment that greatly expands our ability to evaluate chemical safety and sustainability and to protect public health. The National Exposure Research Laboratory’s (NERL’s) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA’s mission to protect human health and the environment. HEASD’s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA’s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source

Applied Computational Mathematics in Social Sciences

CERN Document Server

Damaceanu, Romulus-Catalin

2010-01-01

Applied Computational Mathematics in Social Sciences adopts a modern scientific approach that combines knowledge from mathematical modeling with various aspects of social science. Special algorithms can be created to simulate an artificial society and a detailed analysis can subsequently be used to project social realities. This Ebook specifically deals with computations using the NetLogo platform, and is intended for researchers interested in advanced human geography and mathematical modeling studies.

Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science

CERN Document Server

Nguyen, Quang

2012-01-01

The latest inventions in computer technology influence most of human daily activities. In the near future, there is tendency that all of aspect of human life will be dependent on computer applications. In manufacturing, robotics and automation have become vital for high quality products. In education, the model of teaching and learning is focusing more on electronic media than traditional ones. Issues related to energy savings and environment is becoming critical.   Computational Science should enhance the quality of human life,  not only solve their problems. Computational Science should help humans to make wise decisions by presenting choices and their possible consequences. Computational Science should help us make sense of observations, understand natural language, plan and reason with extensive background knowledge. Intelligence with wisdom is perhaps an ultimate goal for human-oriented science.   This book is a compilation of some recent research findings in computer application and computational sci...

Molecular Theory of the Living Cell Concepts, Molecular Mechanisms, and Biomedical Applications

CERN Document Server

Ji, Sungchul

2012-01-01

This book presents a comprehensive molecular theory of the living cell based on over thirty concepts, principles and laws imported from thermodynamics, statistical mechanics, quantum mechanics, chemical kinetics, informatics, computer science, linguistics, semiotics, and philosophy. The author formulates physically, chemically and enzymologically realistic molecular mechanisms to account for the basic living processes such as ligand-receptor interactions, protein folding, single-molecule enzymic catalysis, force-generating mechanisms in molecular motors, signal transduction, regulation of the genome-wide RNA metabolism, morphogenesis, the micro-macro coupling in coordination dynamics, the origin of life, and the mechanisms of biological evolution itself. Possible solutions to basic and practical problems facing contemporary biology and biomedical sciences have been suggested, including pharmacotheragnostics and personalized medicine.

Biomedical photonics handbook

CERN Document Server

Vo-Dinh, Tuan

2003-01-01

1.Biomedical Photonics: A Revolution at the Interface of Science and Technology, T. Vo-DinhPHOTONICS AND TISSUE OPTICS2.Optical Properties of Tissues, J. Mobley and T. Vo-Dinh3.Light-Tissue Interactions, V.V. Tuchin 4.Theoretical Models and Algorithms in Optical Diffusion Tomography, S.J. Norton and T. Vo-DinhPHOTONIC DEVICES5.Laser Light in Biomedicine and the Life Sciences: From the Present to the Future, V.S. Letokhov6.Basic Instrumentation in Photonics, T. Vo-Dinh7.Optical Fibers and Waveguides for Medical Applications, I. Gannot and

Computer - based modeling in extract sciences research -III ...

African Journals Online (AJOL)

Molecular modeling techniques have been of great applicability in the study of the biological sciences and other exact science fields like agriculture, mathematics, computer science and the like. In this write up, a list of computer programs for predicting, for instance, the structure of proteins has been provided. Discussions on ...

A survey of computer science capstone course literature

Science.gov (United States)

Dugan, Robert F., Jr.

2011-09-01

In this article, we surveyed literature related to undergraduate computer science capstone courses. The survey was organized around course and project issues. Course issues included: course models, learning theories, course goals, course topics, student evaluation, and course evaluation. Project issues included: software process models, software process phases, project type, documentation, tools, groups, and instructor administration. We reflected on these issues and thecomputer science capstone course we have taught for seven years. The survey summarized, organized, and synthesized the literature to provide a referenced resource for computer science instructors and researchers interested in computer science capstone courses.

Inorganic nanolayers: structure, preparation, and biomedical applications.

Science.gov (United States)

Saifullah, Bullo; Hussein, Mohd Zobir B

2015-01-01

Hydrotalcite-like compounds are two-dimensional inorganic nanolayers also known as clay minerals or anionic clays or layered double hydroxides/layered hydroxy salts, and have emerged as a single type of material with numerous biomedical applications, such as drug delivery, gene delivery, cosmetics, and biosensing. Inorganic nanolayers are promising materials due to their fascinating properties, such as ease of preparation, ability to intercalate different type of anions (inorganic, organic, biomolecules, and even genes), high thermal stability, delivery of intercalated anions in a sustained manner, high biocompatibility, and easy biodegradation. Inorganic nanolayers have been the focus for researchers over the last decade, resulting in widening application horizons, especially in the field of biomedical science. These nanolayers have been widely applied in drug and gene delivery. They have also been applied in biosensing technology, and most recently in bioimaging science. The suitability of inorganic nanolayers for application in drug delivery, gene delivery, biosensing technology, and bioimaging science makes them ideal materials to be applied for theranostic purposes. In this paper, we review the structure, methods of preparation, and latest advances made by inorganic nanolayers in such biomedical applications as drug delivery, gene delivery, biosensing, and bioimaging.

Collaboration, Collusion and Plagiarism in Computer Science Coursework

OpenAIRE

Robert FRASER

2014-01-01

We present an overview of the nature of academic dishonesty with respect to computer science coursework. We discuss the efficacy of various policies for collaboration with regard to student education, and we consider a number of strategies for mitigating dishonest behaviour on computer science coursework by addressing some common causes. Computer science coursework is somewhat unique, in that there often exist ideal solutions for problems, and work may be shared and copied with very little ef...

Computer/Information Science

Science.gov (United States)

Birman, Ken; Roughgarden, Tim; Seltzer, Margo; Spohrer, Jim; Stolterman, Erik; Kearsley, Greg; Koszalka, Tiffany; de Jong, Ton

2013-01-01

Scholars representing the field of computer/information science were asked to identify what they considered to be the most exciting and imaginative work currently being done in their field, as well as how that work might change our understanding. The scholars included Ken Birman, Jennifer Rexford, Tim Roughgarden, Margo Seltzer, Jim Spohrer, and…

The medical science DMZ: a network design pattern for data-intensive medical science.

Science.gov (United States)

Peisert, Sean; Dart, Eli; Barnett, William; Balas, Edward; Cuff, James; Grossman, Robert L; Berman, Ari; Shankar, Anurag; Tierney, Brian

2017-10-06

We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. High-end networking, packet-filter firewalls, network intrusion-detection systems. We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs. The exponentially increasing amounts of "omics" data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of biomedical research "Big Data." The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for biomedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical sciences and engineering research to manage high-capacity data flows. By implementing a Medical Science DMZ architecture, biomedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high

From biomedical-engineering research to clinical application and industrialization

Science.gov (United States)

Taguchi, Tetsushi; Aoyagi, Takao

2012-12-01

The rising costs and aging of the population due to a low birth rate negatively affect the healthcare system in Japan. In 2011, the Council for Science and Technology Policy released the 4th Japan's Science and Technology Basic Policy Report from 2011 to 2015. This report includes two major innovations, 'Life Innovation' and 'Green Innovation', to promote economic growth. Biomedical engineering research is part of 'Life Innovation' and its outcomes are required to maintain people's mental and physical health. It has already resulted in numerous biomedical products, and new ones should be developed using nanotechnology-based concepts. The combination of accumulated knowledge and experience, and 'nanoarchitechtonics' will result in novel, well-designed functional biomaterials. This focus issue contains three reviews and 19 original papers on various biomedical topics, including biomaterials, drug-delivery systems, tissue engineering and diagnostics. We hope that it demonstrates the importance of collaboration among scientists, engineers and clinicians, and will contribute to the further development of biomedical engineering.

NASA Center for Computational Sciences: History and Resources

Science.gov (United States)

2000-01-01

The Nasa Center for Computational Sciences (NCCS) has been a leading capacity computing facility, providing a production environment and support resources to address the challenges facing the Earth and space sciences research community.

Research in applied mathematics, numerical analysis, and computer science

Science.gov (United States)

1984-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering (ICASE) in applied mathematics, numerical analysis, and computer science is summarized and abstracts of published reports are presented. The major categories of the ICASE research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software, especially vector and parallel computers.

Hispanic women overcoming deterrents to computer science: A phenomenological study

Science.gov (United States)

Herling, Lourdes

The products of computer science are important to all aspects of society and are tools in the solution of the world's problems. It is, therefore, troubling that the United States faces a shortage in qualified graduates in computer science. The number of women and minorities in computer science is significantly lower than the percentage of the U.S. population which they represent. The overall enrollment in computer science programs has continued to decline with the enrollment of women declining at a higher rate than that of men. This study addressed three aspects of underrepresentation about which there has been little previous research: addressing computing disciplines specifically rather than embedding them within the STEM disciplines, what attracts women and minorities to computer science, and addressing the issues of race/ethnicity and gender in conjunction rather than in isolation. Since women of underrepresented ethnicities are more severely underrepresented than women in general, it is important to consider whether race and ethnicity play a role in addition to gender as has been suggested by previous research. Therefore, this study examined what attracted Hispanic women to computer science specifically. The study determines whether being subjected to multiple marginalizations---female and Hispanic---played a role in the experiences of Hispanic women currently in computer science. The study found five emergent themes within the experiences of Hispanic women in computer science. Encouragement and role models strongly influenced not only the participants' choice to major in the field, but to persist as well. Most of the participants experienced a negative atmosphere and feelings of not fitting in while in college and industry. The interdisciplinary nature of computer science was the most common aspect that attracted the participants to computer science. The aptitudes participants commonly believed are needed for success in computer science are the Twenty

Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research.

Science.gov (United States)

Purawat, Shweta; Cowart, Charles; Amaro, Rommie E; Altintas, Ilkay

2016-06-01

The BBDTC (https://biobigdata.ucsd.edu) is a community-oriented platform to encourage high-quality knowledge dissemination with the aim of growing a well-informed biomedical big data community through collaborative efforts on training and education. The BBDTC collaborative is an e-learning platform that supports the biomedical community to access, develop and deploy open training materials. The BBDTC supports Big Data skill training for biomedical scientists at all levels, and from varied backgrounds. The natural hierarchy of courses allows them to be broken into and handled as modules . Modules can be reused in the context of multiple courses and reshuffled, producing a new and different, dynamic course called a playlist . Users may create playlists to suit their learning requirements and share it with individual users or the wider public. BBDTC leverages the maturity and design of the HUBzero content-management platform for delivering educational content. To facilitate the migration of existing content, the BBDTC supports importing and exporting course material from the edX platform. Migration tools will be extended in the future to support other platforms. Hands-on training software packages, i.e., toolboxes , are supported through Amazon EC2 and Virtualbox virtualization technologies, and they are available as: ( i ) downloadable lightweight Virtualbox Images providing a standardized software tool environment with software packages and test data on their personal machines, and ( ii ) remotely accessible Amazon EC2 Virtual Machines for accessing biomedical big data tools and scalable big data experiments. At the moment, the BBDTC site contains three open Biomedical big data training courses with lecture contents, videos and hands-on training utilizing VM toolboxes, covering diverse topics. The courses have enhanced the hands-on learning environment by providing structured content that users can use at their own pace. A four course biomedical big data series is

Molecular Science Computing: 2010 Greenbook

Energy Technology Data Exchange (ETDEWEB)

De Jong, Wibe A.; Cowley, David E.; Dunning, Thom H.; Vorpagel, Erich R.

2010-04-02

This 2010 Greenbook outlines the science drivers for performing integrated computational environmental molecular research at EMSL and defines the next-generation HPC capabilities that must be developed at the MSC to address this critical research. The EMSL MSC Science Panel used EMSL’s vision and science focus and white papers from current and potential future EMSL scientific user communities to define the scientific direction and resulting HPC resource requirements presented in this 2010 Greenbook.

Cloud computing and services science

NARCIS (Netherlands)

Ivanov, Ivan; van Sinderen, Marten J.; Shishkov, Boris

2012-01-01

This book is essentially a collection of the best papers of the International Conference on Cloud Computing and Services Science (CLOSER), which was held in Noordwijkerhout, The Netherlands on May 7–9, 2011. The conference addressed technology trends in the domain of cloud computing in relation to a

10th International Symposium on Computer Science in Sports

CERN Document Server

Soltoggio, Andrea; Dawson, Christian; Meng, Qinggang; Pain, Matthew

2016-01-01

This book presents the main scientific results of the 10th International Symposium of Computer Science in Sport (IACSS/ISCSS 2015), sponsored by the International Association of Computer Science in Sport in collaboration with the International Society of Sport Psychology (ISSP), which took place between September 9-11, 2015 at Loughborough, UK. This proceedings aims to build a link between computer science and sport, and reports on results from applying computer science techniques to address a wide number of problems in sport and exercise sciences. It provides a good platform and opportunity for researchers in both computer science and sport to understand and discuss ideas and promote cross-disciplinary research. The strictly reviewed and carefully revised papers cover the following topics: Modelling and Analysis, Artificial Intelligence in Sport, Virtual Reality in Sport,  Neural Cognitive Training,  IT Systems for Sport, Sensing Technologies and Image Processing.

Archives: Journal of Computer Science and Its Application

African Journals Online (AJOL)

Items 1 - 9 of 9 ... Archives: Journal of Computer Science and Its Application. Journal Home > Archives: Journal of Computer Science and Its Application. Log in or Register to get access to full text downloads.

Summary of research in applied mathematics, numerical analysis and computer science at the Institute for Computer Applications in Science and Engineering

Science.gov (United States)

1984-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science during the period October 1, 1983 through March 31, 1984 is summarized.

Semiotics, Information Science, Documents and Computers.

Science.gov (United States)

Warner, Julian

1990-01-01

Discusses the relationship and value of semiotics to the established domains of information science. Highlights include documentation; computer operations; the language of computing; automata theory; linguistics; speech and writing; and the written language as a unifying principle for the document and the computer. (93 references) (LRW)

The community FabLab platform: applications and implications in biomedical engineering.

Science.gov (United States)

Stephenson, Makeda K; Dow, Douglas E

2014-01-01

Skill development in science, technology, engineering and math (STEM) education present one of the most formidable challenges of modern society. The Community FabLab platform presents a viable solution. Each FabLab contains a suite of modern computer numerical control (CNC) equipment, electronics and computing hardware and design, programming, computer aided design (CAD) and computer aided machining (CAM) software. FabLabs are community and educational resources and open to the public. Development of STEM based workforce skills such as digital fabrication and advanced manufacturing can be enhanced using this platform. Particularly notable is the potential of the FabLab platform in STEM education. The active learning environment engages and supports a diversity of learners, while the iterative learning that is supported by the FabLab rapid prototyping platform facilitates depth of understanding, creativity, innovation and mastery. The product and project based learning that occurs in FabLabs develops in the student a personal sense of accomplishment, self-awareness, command of the material and technology. This helps build the interest and confidence necessary to excel in STEM and throughout life. Finally the introduction and use of relevant technologies at every stage of the education process ensures technical familiarity and a broad knowledge base needed for work in STEM based fields. Biomedical engineering education strives to cultivate broad technical adeptness, creativity, interdisciplinary thought, and an ability to form deep conceptual understanding of complex systems. The FabLab platform is well designed to enhance biomedical engineering education.

Applied Mathematics, Modelling and Computational Science

CERN Document Server

Kotsireas, Ilias; Makarov, Roman; Melnik, Roderick; Shodiev, Hasan

2015-01-01

The Applied Mathematics, Modelling, and Computational Science (AMMCS) conference aims to promote interdisciplinary research and collaboration. The contributions in this volume cover the latest research in mathematical and computational sciences, modeling, and simulation as well as their applications in natural and social sciences, engineering and technology, industry, and finance. The 2013 conference, the second in a series of AMMCS meetings, was held August 26–30 and organized in cooperation with AIMS and SIAM, with support from the Fields Institute in Toronto, and Wilfrid Laurier University. There were many young scientists at AMMCS-2013, both as presenters and as organizers. This proceedings contains refereed papers contributed by the participants of the AMMCS-2013 after the conference. This volume is suitable for researchers and graduate students, mathematicians and engineers, industrialists, and anyone who would like to delve into the interdisciplinary research of applied and computational mathematics ...

Session Introduction: Challenges of Pattern Recognition in Biomedical Data.

Science.gov (United States)

Verma, Shefali Setia; Verma, Anurag; Basile, Anna Okula; Bishop, Marta-Byrska; Darabos, Christian

2018-01-01

The analysis of large biomedical data often presents with various challenges related to not just the size of the data, but also to data quality issues such as heterogeneity, multidimensionality, noisiness, and incompleteness of the data. The data-intensive nature of computational genomics problems in biomedical informatics warrants the development and use of massive computer infrastructure and advanced software tools and platforms, including but not limited to the use of cloud computing. Our session aims to address these challenges in handling big data for designing a study, performing analysis, and interpreting outcomes of these analyses. These challenges have been prevalent in many studies including those which focus on the identification of novel genetic variant-phenotype associations using data from sources like Electronic Health Records (EHRs) or multi-omic data. One of the biggest challenges to focus on is the imperfect nature of the biomedical data where a lot of noise and sparseness is observed. In our session, we will present research articles that can help in identifying innovative ways to recognize and overcome newly arising challenges associated with pattern recognition in biomedical data.

KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences.

Science.gov (United States)

Ernst, Patrick; Siu, Amy; Weikum, Gerhard

2015-05-14

Biomedical knowledge bases (KB's) have become important assets in life sciences. Prior work on KB construction has three major limitations. First, most biomedical KBs are manually built and curated, and cannot keep up with the rate at which new findings are published. Second, for automatic information extraction (IE), the text genre of choice has been scientific publications, neglecting sources like health portals and online communities. Third, most prior work on IE has focused on the molecular level or chemogenomics only, like protein-protein interactions or gene-drug relationships, or solely address highly specific topics such as drug effects. We address these three limitations by a versatile and scalable approach to automatic KB construction. Using a small number of seed facts for distant supervision of pattern-based extraction, we harvest a huge number of facts in an automated manner without requiring any explicit training. We extend previous techniques for pattern-based IE with confidence statistics, and we combine this recall-oriented stage with logical reasoning for consistency constraint checking to achieve high precision. To our knowledge, this is the first method that uses consistency checking for biomedical relations. Our approach can be easily extended to incorporate additional relations and constraints. We ran extensive experiments not only for scientific publications, but also for encyclopedic health portals and online communities, creating different KB's based on different configurations. We assess the size and quality of each KB, in terms of number of facts and precision. The best configured KB, KnowLife, contains more than 500,000 facts at a precision of 93% for 13 relations covering genes, organs, diseases, symptoms, treatments, as well as environmental and lifestyle risk factors. KnowLife is a large knowledge base for health and life sciences, automatically constructed from different Web sources. As a unique feature, KnowLife is harvested from

COEUS: "semantic web in a box" for biomedical applications.

Science.gov (United States)

Lopes, Pedro; Oliveira, José Luís

2012-12-17

As the "omics" revolution unfolds, the growth in data quantity and diversity is bringing about the need for pioneering bioinformatics software, capable of significantly improving the research workflow. To cope with these computer science demands, biomedical software engineers are adopting emerging semantic web technologies that better suit the life sciences domain. The latter's complex relationships are easily mapped into semantic web graphs, enabling a superior understanding of collected knowledge. Despite increased awareness of semantic web technologies in bioinformatics, their use is still limited. COEUS is a new semantic web framework, aiming at a streamlined application development cycle and following a "semantic web in a box" approach. The framework provides a single package including advanced data integration and triplification tools, base ontologies, a web-oriented engine and a flexible exploration API. Resources can be integrated from heterogeneous sources, including CSV and XML files or SQL and SPARQL query results, and mapped directly to one or more ontologies. Advanced interoperability features include REST services, a SPARQL endpoint and LinkedData publication. These enable the creation of multiple applications for web, desktop or mobile environments, and empower a new knowledge federation layer. The platform, targeted at biomedical application developers, provides a complete skeleton ready for rapid application deployment, enhancing the creation of new semantic information systems. COEUS is available as open source at http://bioinformatics.ua.pt/coeus/.

Analysis of Sci-Hub downloads of computer science papers

Directory of Open Access Journals (Sweden)

Andročec Darko

2017-07-01

Full Text Available The scientific knowledge is disseminated by research papers. Most of the research literature is copyrighted by publishers and avail- able only through paywalls. Recently, some websites offer most of the recent content for free. One of them is the controversial website Sci-Hub that enables access to more than 47 million pirated research papers. In April 2016, Science Magazine published an article on Sci-Hub activity over the period of six months and publicly released the Sci-Hub’s server log data. The mentioned paper aggregates the view that relies on all downloads and for all fields of study, but these findings might be hiding interesting patterns within computer science. The mentioned Sci-Hub log data was used in this paper to analyse downloads of computer science papers based on DBLP’s list of computer science publications. The top downloads of computer science papers were analysed, together with the geographical location of Sci-Hub users, the most downloaded publishers, types of papers downloaded, and downloads of computer science papers per publication year. The results of this research can be used to improve legal access to the most relevant scientific repositories or journals for the computer science field.

Exploring lecturers' views of first-year health science students' misconceptions in biomedical domains.

Science.gov (United States)

Badenhorst, Elmi; Mamede, Sílvia; Hartman, Nadia; Schmidt, Henk G

2015-05-01

Research has indicated that misconceptions hamper the process of knowledge construction. Misconceptions are defined as persistent ideas not supported by current scientific views. Few studies have explored how misconceptions develop when first year health students conceptually move between anatomy and physiology to construct coherent knowledge about the human body. This explorative study analysed lecturers' perceptions of first-year health science students' misconceptions in anatomy and physiology to gain a deeper understanding of how and why misconceptions could potentially arise, by attempting to link sources of misconceptions with four schools of thought, namely theories on concept formation, complexity, constructivism and conceptual change. This was a qualitative study where ten lecturers involved in teaching anatomy and physiology in the health science curricula at the University of Cape Town were interviewed to explore perceptions of students' misconceptions. Analytical induction was used to uncover categories within the interview data by using a coding system. A deeper analysis was done to identify emerging themes that begins to explore a theoretical understanding of why and how misconceptions arise. Nine sources of misconceptions were identified, including misconceptions related to language, perception, three dimensional thinking, causal reasoning, curricula design, learning styles and moving between macro and micro levels. The sources of misconceptions were then grouped together to assist educators with finding educational interventions to overcome potential misconceptions. This explorative study is an attempt in theory building to understand what is at the core of biomedical misconceptions. Misconceptions identified in this study hold implications for educators as not all students have the required building blocks and cognitive skills to successfully navigate their way through biomedical courses. Theoretical insight into the sources of misconceptions can

Computational thinking in life science education.

Science.gov (United States)

Rubinstein, Amir; Chor, Benny

2014-11-01

We join the increasing call to take computational education of life science students a step further, beyond teaching mere programming and employing existing software tools. We describe a new course, focusing on enriching the curriculum of life science students with abstract, algorithmic, and logical thinking, and exposing them to the computational "culture." The design, structure, and content of our course are influenced by recent efforts in this area, collaborations with life scientists, and our own instructional experience. Specifically, we suggest that an effective course of this nature should: (1) devote time to explicitly reflect upon computational thinking processes, resisting the temptation to drift to purely practical instruction, (2) focus on discrete notions, rather than on continuous ones, and (3) have basic programming as a prerequisite, so students need not be preoccupied with elementary programming issues. We strongly recommend that the mere use of existing bioinformatics tools and packages should not replace hands-on programming. Yet, we suggest that programming will mostly serve as a means to practice computational thinking processes. This paper deals with the challenges and considerations of such computational education for life science students. It also describes a concrete implementation of the course and encourages its use by others.

Computational thinking in life science education.

Directory of Open Access Journals (Sweden)

Amir Rubinstein

2014-11-01

Full Text Available We join the increasing call to take computational education of life science students a step further, beyond teaching mere programming and employing existing software tools. We describe a new course, focusing on enriching the curriculum of life science students with abstract, algorithmic, and logical thinking, and exposing them to the computational "culture." The design, structure, and content of our course are influenced by recent efforts in this area, collaborations with life scientists, and our own instructional experience. Specifically, we suggest that an effective course of this nature should: (1 devote time to explicitly reflect upon computational thinking processes, resisting the temptation to drift to purely practical instruction, (2 focus on discrete notions, rather than on continuous ones, and (3 have basic programming as a prerequisite, so students need not be preoccupied with elementary programming issues. We strongly recommend that the mere use of existing bioinformatics tools and packages should not replace hands-on programming. Yet, we suggest that programming will mostly serve as a means to practice computational thinking processes. This paper deals with the challenges and considerations of such computational education for life science students. It also describes a concrete implementation of the course and encourages its use by others.

Genomic cloud computing: legal and ethical points to consider.

Science.gov (United States)

Dove, Edward S; Joly, Yann; Tassé, Anne-Marie; Knoppers, Bartha M

2015-10-01

The biggest challenge in twenty-first century data-intensive genomic science, is developing vast computer infrastructure and advanced software tools to perform comprehensive analyses of genomic data sets for biomedical research and clinical practice. Researchers are increasingly turning to cloud computing both as a solution to integrate data from genomics, systems biology and biomedical data mining and as an approach to analyze data to solve biomedical problems. Although cloud computing provides several benefits such as lower costs and greater efficiency, it also raises legal and ethical issues. In this article, we discuss three key 'points to consider' (data control; data security, confidentiality and transfer; and accountability) based on a preliminary review of several publicly available cloud service providers' Terms of Service. These 'points to consider' should be borne in mind by genomic research organizations when negotiating legal arrangements to store genomic data on a large commercial cloud service provider's servers. Diligent genomic cloud computing means leveraging security standards and evaluation processes as a means to protect data and entails many of the same good practices that researchers should always consider in securing their local infrastructure.

Visualization of biomedical image data and irradiation planning using a parallel computing system

International Nuclear Information System (INIS)

Lehrig, R.

1991-01-01

The contribution explains the development of a novel, low-cost workstation for the processing of biomedical tomographic data sequences. The workstation was to allow both graphical display of the data and implementation of modelling software for irradiation planning, especially for calculation of dose distributions on the basis of the measured tomogram data. The system developed according to these criteria is a parallel computing system which performs secondary, two-dimensional image reconstructions irrespective of the imaging direction of the original tomographic scans. Three-dimensional image reconstructions can be generated from any direction of view, with random selection of sections of the scanned object. (orig./MM) With 69 figs., 2 tabs [de

Science-Driven Computing: NERSC's Plan for 2006-2010

Energy Technology Data Exchange (ETDEWEB)

Simon, Horst D.; Kramer, William T.C.; Bailey, David H.; Banda,Michael J.; Bethel, E. Wes; Craw, James M.; Fortney, William J.; Hules,John A.; Meyer, Nancy L.; Meza, Juan C.; Ng, Esmond G.; Rippe, Lynn E.; Saphir, William C.; Verdier, Francesca; Walter, Howard A.; Yelick,Katherine A.

2005-05-16

NERSC has developed a five-year strategic plan focusing on three components: Science-Driven Systems, Science-Driven Services, and Science-Driven Analytics. (1) Science-Driven Systems: Balanced introduction of the best new technologies for complete computational systems--computing, storage, networking, visualization and analysis--coupled with the activities necessary to engage vendors in addressing the DOE computational science requirements in their future roadmaps. (2) Science-Driven Services: The entire range of support activities, from high-quality operations and user services to direct scientific support, that enable a broad range of scientists to effectively use NERSC systems in their research. NERSC will concentrate on resources needed to realize the promise of the new highly scalable architectures for scientific discovery in multidisciplinary computational science projects. (3) Science-Driven Analytics: The architectural and systems enhancements and services required to integrate NERSC's powerful computational and storage resources to provide scientists with new tools to effectively manipulate, visualize, and analyze the huge data sets derived from simulations and experiments.

World Congress on Engineering and Computer Science 2015

CERN Document Server

Kim, Haeng; Amouzegar, Mahyar

2017-01-01

This proceedings volume contains selected revised and extended research articles written by researchers who participated in the World Congress on Engineering and Computer Science 2015, held in San Francisco, USA, 21-23 October 2015. Topics covered include engineering mathematics, electrical engineering, circuits, communications systems, computer science, chemical engineering, systems engineering, manufacturing engineering, and industrial applications. The book offers the reader an overview of the state of the art in engineering technologies, computer science, systems engineering and applications, and will serve as an excellent reference work for researchers and graduate students working in these fields.

Bridging the social and the biomedical: engaging the social and political sciences in HIV research.

Science.gov (United States)

Kippax, Susan C; Holt, Martin; Friedman, Samuel R

2011-09-27

This supplement to the Journal of the International AIDS Society focuses on the engagement of the social and political sciences within HIV research and, in particular, maintaining a productive relationship between social and biomedical perspectives on HIV. It responds to a number of concerns raised primarily by social scientists, but also recognized as important by biomedical and public health researchers. These concerns include how best to understand the impact of medical technologies (such as HIV treatments, HIV testing, viral load testing, male circumcision, microbicides, and pre-and post-exposure prophylaxis) on sexual cultures, drug practices, relationships and social networks in different cultural, economic and political contexts. The supplement is also concerned with how we might examine the relationship between HIV prevention and treatment, understand the social and political mobilization required to tackle HIV, and sustain the range of disciplinary approaches needed to inform and guide responses to the global pandemic. The six articles included in the supplement demonstrate the value of fostering high quality social and political research to inform, guide and challenge our collaborative responses to HIV/AIDS.

Pacific Northwest Laboratory annual report for 1994 to the DOE Office of Energy Research Part 1: Biomedical sciences

Energy Technology Data Exchange (ETDEWEB)

Park, J.F.

1995-04-01

Research in the biomedical sciences at PNL is described. Activities reported include: inhaled plutonium in dogs; national radiobiology archives; statistical analysis of data from animal studies; genotoxicity of inhaled energy effluents; molecular events during tumor initiation; biochemistry of free radical induced DNA damage; radon hazards in homes; mechanisms of radon injury; genetics of radon induced lung cancer; and in vivo/in vitro radon induced cellular damage.

Non-Determinism: An Abstract Concept in Computer Science Studies

Science.gov (United States)

Armoni, Michal; Gal-Ezer, Judith

2007-01-01

Non-determinism is one of the most important, yet abstract, recurring concepts of Computer Science. It plays an important role in Computer Science areas such as formal language theory, computability theory, distributed computing, and operating systems. We conducted a series of studies on the perception of non-determinism. In the current research,…

Bioinformation processing a primer on computational cognitive science

CERN Document Server

Peterson, James K

2016-01-01

This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation, in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.

Nuclear computational science a century in review

CERN Document Server

Azmy, Yousry

2010-01-01

Nuclear engineering has undergone extensive progress over the years. In the past century, colossal developments have been made and with specific reference to the mathematical theory and computational science underlying this discipline, advances in areas such as high-order discretization methods, Krylov Methods and Iteration Acceleration have steadily grown. Nuclear Computational Science: A Century in Review addresses these topics and many more; topics which hold special ties to the first half of the century, and topics focused around the unique combination of nuclear engineering, computational

COMPUTER SCIENCE IN THE EDUCATION OF UKRAINE: FORMATION PROSPECTS

OpenAIRE

Viktor Shakotko

2016-01-01

The article deals with the formation of computer science as science and school subject as well in the system of education in Ukraine taking into consideration the development tendencies of this science in the world. The introduction of the notion« information technology», «computer science» and «informatics science» into the science, their correlation and the peculiarities of subject sphere determination are analyzed through the historical aspect. The author considers the points of view conce...

National Energy Research Scientific Computing Center (NERSC): Advancing the frontiers of computational science and technology

Energy Technology Data Exchange (ETDEWEB)

Hules, J. [ed.

1996-11-01

National Energy Research Scientific Computing Center (NERSC) provides researchers with high-performance computing tools to tackle science`s biggest and most challenging problems. Founded in 1974 by DOE/ER, the Controlled Thermonuclear Research Computer Center was the first unclassified supercomputer center and was the model for those that followed. Over the years the center`s name was changed to the National Magnetic Fusion Energy Computer Center and then to NERSC; it was relocated to LBNL. NERSC, one of the largest unclassified scientific computing resources in the world, is the principal provider of general-purpose computing services to DOE/ER programs: Magnetic Fusion Energy, High Energy and Nuclear Physics, Basic Energy Sciences, Health and Environmental Research, and the Office of Computational and Technology Research. NERSC users are a diverse community located throughout US and in several foreign countries. This brochure describes: the NERSC advantage, its computational resources and services, future technologies, scientific resources, and computational science of scale (interdisciplinary research over a decade or longer; examples: combustion in engines, waste management chemistry, global climate change modeling).

Biomedical journals in Republic of Macedonia: the current state.

Science.gov (United States)

Polenakovic, Momir; Danevska, Lenche

2014-01-01

Several biomedical journals in the Republic of Macedonia have succeeded in maintaining regular publication over the years, but only a few have a long-standing tradition. In this paper we present the basic characteristics of 18 biomedical journals that have been published without a break in the Republic of Macedonia. Of these, more details are given for 14 journals, a particular emphasis being on the journal Prilozi/Contributions of the Macedonian Academy of Sciences and Arts, Section of Medical Sciences as one of the journals with a long-term publishing tradition and one of the journals included in the Medline/PubMed database. A brief or broad description is given for the following journals: Macedonian Medical Review, Acta Morphologica, Physioacta, MJMS-Macedonian Journal of Medical Sciences, International Medical Journal Medicus, Archives of Public Health, Epilepsy, Macedonian Orthopaedics and Traumatology Journal, BANTAO Journal, Macedonian Dental Review, Macedonian Pharmaceutical Bulletin, Macedonian Veterinary Review, Journal of Special Education and Rehabilitation, Balkan Journal of Medical Genetics, Contributions of the Macedonian Scientific Society of Bitola, Vox Medici, Social Medicine: Professional Journal for Public Health, and Prilozi/Contributions of the Macedonian Academy of Sciences and Arts. Journals from Macedonia should aim to be published regularly, should comply with the Uniform requirements for manuscripts submitted to biomedical journals, and with the recommendations of reliable organizations working in the field of publishing and research. These are the key prerequisites which Macedonian journals have to accomplish in order to be included in renowned international bibliographic databases. Thus the results of biomedical science from the Republic of Macedonia will be presented to the international scientific arena.

Innovations in Biomedical Engineering 2016

CERN Document Server

Tkacz, Ewaryst; Paszenda, Zbigniew; Piętka, Ewa

2017-01-01

This book presents the proceedings of the “Innovations in Biomedical Engineering IBE’2016” Conference held on October 16–18, 2016 in Poland, discussing recent research on innovations in biomedical engineering. The past decade has seen the dynamic development of more and more sophisticated technologies, including biotechnologies, and more general technologies applied in the area of life sciences. As such the book covers the broadest possible spectrum of subjects related to biomedical engineering innovations. Divided into four parts, it presents state-of-the-art achievements in: • engineering of biomaterials, • modelling and simulations in biomechanics, • informatics in medicine • signal analysis The book helps bridge the gap between technological and methodological engineering achievements on the one hand and clinical requirements in the three major areas diagnosis, therapy and rehabilitation on the other.

Collaboration between J-PARC and computing science

International Nuclear Information System (INIS)

Nakatani, Takeshi; Inamura, Yasuhiro

2010-01-01

Many world-forefront experimental apparatuses are under construction at Materials and Life Science Facility of Japan Proton Accelerator Research Complex (J-PARC), and new experimental methods supported by the computer facility are under development towards practical use. Many problems, however, remains to be developed as a large open use facility under the Low for Promotion of Public Utilization. Some of them need the cooperation of experimental scientists and computer scientists to be solved. Present status of the computing ability at Materials and Life Science Facility of J-PARC, and research results expected to be brought by the collaboration of experimental- and computer-scientists are described. (author)

Summary of research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science

Science.gov (United States)

1989-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis, and computer science during the period October 1, 1988 through March 31, 1989 is summarized.

Large-scale theoretical calculations in molecular science - design of a large computer system for molecular science and necessary conditions for future computers

Energy Technology Data Exchange (ETDEWEB)

Kashiwagi, H [Institute for Molecular Science, Okazaki, Aichi (Japan)

1982-06-01

A large computer system was designed and established for molecular science under the leadership of molecular scientists. Features of the computer system are an automated operation system and an open self-service system. Large-scale theoretical calculations have been performed to solve many problems in molecular science, using the computer system. Necessary conditions for future computers are discussed on the basis of this experience.

Large-scale theoretical calculations in molecular science - design of a large computer system for molecular science and necessary conditions for future computers

International Nuclear Information System (INIS)

Kashiwagi, H.

1982-01-01

A large computer system was designed and established for molecular science under the leadership of molecular scientists. Features of the computer system are an automated operation system and an open self-service system. Large-scale theoretical calculations have been performed to solve many problems in molecular science, using the computer system. Necessary conditions for future computers are discussed on the basis of this experience. (orig.)

Development of computational science in JAEA. R and D of simulation

International Nuclear Information System (INIS)

Nakajima, Norihiro; Araya, Fumimasa; Hirayama, Toshio

2006-01-01

R and D of computational science in JAEA (Japan Atomic Energy Agency) is described. Environment of computer, R and D system in CCSE (Center for Computational Science and e-Systems), joint computational science researches in Japan and world, development of computer technologies, the some examples of simulation researches, 3-dimensional image vibrational platform system, simulation researches of FBR cycle techniques, simulation of large scale thermal stress for development of steam generator, simulation research of fusion energy techniques, development of grid computing technology, simulation research of quantum beam techniques and biological molecule simulation researches are explained. Organization of JAEA, development of computational science in JAEA, network of JAEA, international collaboration of computational science, and environment of ITBL (Information-Technology Based Laboratory) project are illustrated. (S.Y.)

Gender Differences in the Use of Computers, Programming, and Peer Interactions in Computer Science Classrooms

Science.gov (United States)

Stoilescu, Dorian; Egodawatte, Gunawardena

2010-01-01

Research shows that female and male students in undergraduate computer science programs view computer culture differently. Female students are interested more in the use of computers than in doing programming, whereas male students see computer science mainly as a programming activity. The overall purpose of our research was not to find new…

78 FR 10180 - Annual Computational Science Symposium; Conference

Science.gov (United States)

2013-02-13

...] Annual Computational Science Symposium; Conference AGENCY: Food and Drug Administration, HHS. ACTION... Pharmaceutical Users Software Exchange (PhUSE), is announcing a public conference entitled ``The FDA/PhUSE Annual Computational Science Symposium.'' The purpose of the conference is to help the broader community align and...

On transferring the grid technology to the biomedical community.

Science.gov (United States)

Mohammed, Yassene; Sax, Ulrich; Dickmann, Frank; Lippert, Joerg; Solodenko, Juri; von Voigt, Gabriele; Smith, Matthew; Rienhoff, Otto

2010-01-01

Natural scientists such as physicists pioneered the sharing of computing resources, which resulted in the Grid. The inter domain transfer process of this technology has been an intuitive process. Some difficulties facing the life science community can be understood using the Bozeman's "Effectiveness Model of Technology Transfer". Bozeman's and classical technology transfer approaches deal with technologies that have achieved certain stability. Grid and Cloud solutions are technologies that are still in flux. We illustrate how Grid computing creates new difficulties for the technology transfer process that are not considered in Bozeman's model. We show why the success of health Grids should be measured by the qualified scientific human capital and opportunities created, and not primarily by the market impact. With two examples we show how the Grid technology transfer theory corresponds to the reality. We conclude with recommendations that can help improve the adoption of Grid solutions into the biomedical community. These results give a more concise explanation of the difficulties most life science IT projects are facing in the late funding periods, and show some leveraging steps which can help to overcome the "vale of tears".

Partnership in Computational Science

Energy Technology Data Exchange (ETDEWEB)

Huray, Paul G.

1999-02-24

This is the final report for the "Partnership in Computational Science" (PICS) award in an amount of $500,000 for the period January 1, 1993 through December 31, 1993. A copy of the proposal with its budget is attached as Appendix A. This report first describes the consequent significance of the DOE award in building infrastructure of high performance computing in the Southeast and then describes the work accomplished under this grant and a list of publications resulting from it.

Computational Science: Ensuring America's Competitiveness

National Research Council Canada - National Science Library

Reed, Daniel A; Bajcsy, Ruzena; Fernandez, Manuel A; Griffiths, Jose-Marie; Mott, Randall D; Dongarra, J. J; Johnson, Chris R; Inouye, Alan S; Miner, William; Matzke, Martha K; Ponick, Terry L

2005-01-01

... previously deemed intractable. Yet, despite the great opportunities and needs, universities and the Federal government have not effectively recognized the strategic significance of computational science in either...

NIH/NSF accelerate biomedical research innovations

Science.gov (United States)

A collaboration between the National Science Foundation and the National Institutes of Health will give NIH-funded researchers training to help them evaluate their scientific discoveries for commercial potential, with the aim of accelerating biomedical in

Automated segmentation of synchrotron radiation micro-computed tomography biomedical images using Graph Cuts and neural networks

Energy Technology Data Exchange (ETDEWEB)

Alvarenga de Moura Meneses, Anderson, E-mail: ameneses@ieee.org [Radiological Sciences Laboratory, Rio de Janeiro State University, Rua Sao Francisco Xavier 524, CEP 20550-900, RJ (Brazil); Giusti, Alessandro [IDSIA (Dalle Molle Institute for Artificial Intelligence), University of Lugano (Switzerland); Pereira de Almeida, Andre; Parreira Nogueira, Liebert; Braz, Delson [Nuclear Engineering Program, Federal University of Rio de Janeiro, RJ (Brazil); Cely Barroso, Regina [Laboratory of Applied Physics on Biomedical Sciences, Physics Department, Rio de Janeiro State University, RJ (Brazil); Almeida, Carlos Eduardo de [Radiological Sciences Laboratory, Rio de Janeiro State University, Rua Sao Francisco Xavier 524, CEP 20550-900, RJ (Brazil)

2011-12-21

Synchrotron Radiation (SR) X-ray micro-Computed Tomography ({mu}CT) enables magnified images to be used as a non-invasive and non-destructive technique with a high space resolution for the qualitative and quantitative analyses of biomedical samples. The research on applications of segmentation algorithms to SR-{mu}CT is an open problem, due to the interesting and well-known characteristics of SR images for visualization, such as the high resolution and the phase contrast effect. In this article, we describe and assess the application of the Energy Minimization via Graph Cuts (EMvGC) algorithm for the segmentation of SR-{mu}CT biomedical images acquired at the Synchrotron Radiation for MEdical Physics (SYRMEP) beam line at the Elettra Laboratory (Trieste, Italy). We also propose a method using EMvGC with Artificial Neural Networks (EMANNs) for correcting misclassifications due to intensity variation of phase contrast, which are important effects and sometimes indispensable in certain biomedical applications, although they impair the segmentation provided by conventional techniques. Results demonstrate considerable success in the segmentation of SR-{mu}CT biomedical images, with average Dice Similarity Coefficient 99.88% for bony tissue in Wistar Rats rib samples (EMvGC), as well as 98.95% and 98.02% for scans of Rhodnius prolixus insect samples (Chagas's disease vector) with EMANNs, in relation to manual segmentation. The techniques EMvGC and EMANNs cope with the task of performing segmentation in images with the intensity variation due to phase contrast effects, presenting a superior performance in comparison to conventional segmentation techniques based on thresholding and linear/nonlinear image filtering, which is also discussed in the present article.

Automated segmentation of synchrotron radiation micro-computed tomography biomedical images using Graph Cuts and neural networks

International Nuclear Information System (INIS)

Alvarenga de Moura Meneses, Anderson; Giusti, Alessandro; Pereira de Almeida, André; Parreira Nogueira, Liebert; Braz, Delson; Cely Barroso, Regina; Almeida, Carlos Eduardo de

2011-01-01

Synchrotron Radiation (SR) X-ray micro-Computed Tomography (μCT) enables magnified images to be used as a non-invasive and non-destructive technique with a high space resolution for the qualitative and quantitative analyses of biomedical samples. The research on applications of segmentation algorithms to SR-μCT is an open problem, due to the interesting and well-known characteristics of SR images for visualization, such as the high resolution and the phase contrast effect. In this article, we describe and assess the application of the Energy Minimization via Graph Cuts (EMvGC) algorithm for the segmentation of SR-μCT biomedical images acquired at the Synchrotron Radiation for MEdical Physics (SYRMEP) beam line at the Elettra Laboratory (Trieste, Italy). We also propose a method using EMvGC with Artificial Neural Networks (EMANNs) for correcting misclassifications due to intensity variation of phase contrast, which are important effects and sometimes indispensable in certain biomedical applications, although they impair the segmentation provided by conventional techniques. Results demonstrate considerable success in the segmentation of SR-μCT biomedical images, with average Dice Similarity Coefficient 99.88% for bony tissue in Wistar Rats rib samples (EMvGC), as well as 98.95% and 98.02% for scans of Rhodnius prolixus insect samples (Chagas's disease vector) with EMANNs, in relation to manual segmentation. The techniques EMvGC and EMANNs cope with the task of performing segmentation in images with the intensity variation due to phase contrast effects, presenting a superior performance in comparison to conventional segmentation techniques based on thresholding and linear/nonlinear image filtering, which is also discussed in the present article.

A Cognitive Model for Problem Solving in Computer Science

Science.gov (United States)

Parham, Jennifer R.

2009-01-01

According to industry representatives, computer science education needs to emphasize the processes involved in solving computing problems rather than their solutions. Most of the current assessment tools used by universities and computer science departments analyze student answers to problems rather than investigating the processes involved in…

11th International Conference on Computer and Information Science

CERN Document Server

Computer and Information 2012

2012-01-01

The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.   The purpose of the 11th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2012...

The Medical Science DMZ.

Science.gov (United States)

Peisert, Sean; Barnett, William; Dart, Eli; Cuff, James; Grossman, Robert L; Balas, Edward; Berman, Ari; Shankar, Anurag; Tierney, Brian

2016-11-01

We describe use cases and an institutional reference architecture for maintaining high-capacity, data-intensive network flows (e.g., 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. High-end networking, packet filter firewalls, network intrusion detection systems. We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive data sets between research institutions over national research networks. The exponentially increasing amounts of "omics" data, the rapid increase of high-quality imaging, and other rapidly growing clinical data sets have resulted in the rise of biomedical research "big data." The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large data sets. Maintaining data-intensive flows that comply with HIPAA and other regulations presents a new challenge for biomedical research. Recognizing this, we describe a strategy that marries performance and security by borrowing from and redefining the concept of a "Science DMZ"-a framework that is used in physical sciences and engineering research to manage high-capacity data flows. By implementing a Medical Science DMZ architecture, biomedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and

Proceedings of computational methods in materials science

International Nuclear Information System (INIS)

Mark, J.E. Glicksman, M.E.; Marsh, S.P.

1992-01-01

The Symposium on which this volume is based was conceived as a timely expression of some of the fast-paced developments occurring throughout materials science and engineering. It focuses particularly on those involving modern computational methods applied to model and predict the response of materials under a diverse range of physico-chemical conditions. The current easy access of many materials scientists in industry, government laboratories, and academe to high-performance computers has opened many new vistas for predicting the behavior of complex materials under realistic conditions. Some have even argued that modern computational methods in materials science and engineering are literally redefining the bounds of our knowledge from which we predict structure-property relationships, perhaps forever changing the historically descriptive character of the science and much of the engineering

Rangaswamy Narasimhan: Doyen of Computer Science

Indian Academy of Sciences (India)

Home; Journals; Resonance – Journal of Science Education; Volume 13; Issue 5. Rangaswamy Narasimhan: Doyen of Computer Science and Technology. Srinivasan Ramani. Article-in-a-Box Volume 13 Issue 5 May 2008 pp 407-409. Fulltext. Click here to view fulltext PDF. Permanent link:

Computational colour science using MATLAB

CERN Document Server

Westland, Stephen; Cheung, Vien

2012-01-01

Computational Colour Science Using MATLAB 2nd Edition offers a practical, problem-based approach to colour physics. The book focuses on the key issues encountered in modern colour engineering, including efficient representation of colour information, Fourier analysis of reflectance spectra and advanced colorimetric computation. Emphasis is placed on the practical applications rather than the techniques themselves, with material structured around key topics. These topics include colour calibration of visual displays, computer recipe prediction and models for colour-appearance prediction. Each t

Science Prospects And Benefits with Exascale Computing

Energy Technology Data Exchange (ETDEWEB)

Kothe, Douglas B [ORNL

2007-12-01

Scientific computation has come into its own as a mature technology in all fields of science. Never before have we been able to accurately anticipate, analyze, and plan for complex events that have not yet occurred from the operation of a reactor running at 100 million degrees centigrade to the changing climate a century down the road. Combined with the more traditional approaches of theory and experiment, scientific computation provides a profound tool for insight and solution as we look at complex systems containing billions of components. Nevertheless, it cannot yet do all we would like. Much of scientific computation s potential remains untapped in areas such as materials science, Earth science, energy assurance, fundamental science, biology and medicine, engineering design, and national security because the scientific challenges are far too enormous and complex for the computational resources at hand. Many of these challenges are of immediate global importance. These challenges can be overcome by a revolution in computing that promises real advancement at a greatly accelerated pace. Planned petascale systems (capable of a petaflop, or 1015 floating point operations per second) in the next 3 years and exascale systems (capable of an exaflop, or 1018 floating point operations per second) in the next decade will provide an unprecedented opportunity to attack these global challenges through modeling and simulation. Exascale computers, with a processing capability similar to that of the human brain, will enable the unraveling of longstanding scientific mysteries and present new opportunities. Table ES.1 summarizes these scientific opportunities, their key application areas, and the goals and associated benefits that would result from solutions afforded by exascale computing.

Computational error and complexity in science and engineering computational error and complexity

CERN Document Server

Lakshmikantham, Vangipuram; Chui, Charles K; Chui, Charles K

2005-01-01

The book "Computational Error and Complexity in Science and Engineering” pervades all the science and engineering disciplines where computation occurs. Scientific and engineering computation happens to be the interface between the mathematical model/problem and the real world application. One needs to obtain good quality numerical values for any real-world implementation. Just mathematical quantities symbols are of no use to engineers/technologists. Computational complexity of the numerical method to solve the mathematical model, also computed along with the solution, on the other hand, will tell us how much computation/computational effort has been spent to achieve that quality of result. Anyone who wants the specified physical problem to be solved has every right to know the quality of the solution as well as the resources spent for the solution. The computed error as well as the complexity provide the scientific convincing answer to these questions. Specifically some of the disciplines in which the book w...

Assessment of Examinations in Computer Science Doctoral Education

Science.gov (United States)

Straub, Jeremy

2014-01-01

This article surveys the examination requirements for attaining degree candidate (candidacy) status in computer science doctoral programs at all of the computer science doctoral granting institutions in the United States. It presents a framework for program examination requirement categorization, and categorizes these programs by the type or types…

Biomedical Engineering Education in Perspective

Science.gov (United States)

Gowen, Richard J.

1973-01-01

Discusses recent developments in the health care industry and their impact on the future of biomedical engineering education. Indicates that a more thorough understanding of the complex functions of the living organism can be acquired through the application of engineering techniques to problems of life sciences. (CC)

GPU computing and applications

CERN Document Server

See, Simon

2015-01-01

This book presents a collection of state of the art research on GPU Computing and Application. The major part of this book is selected from the work presented at the 2013 Symposium on GPU Computing and Applications held in Nanyang Technological University, Singapore (Oct 9, 2013). Three major domains of GPU application are covered in the book including (1) Engineering design and simulation; (2) Biomedical Sciences; and (3) Interactive & Digital Media. The book also addresses the fundamental issues in GPU computing with a focus on big data processing. Researchers and developers in GPU Computing and Applications will benefit from this book. Training professionals and educators can also benefit from this book to learn the possible application of GPU technology in various areas.

Computer Science Professionals and Greek Library Science

Science.gov (United States)

Dendrinos, Markos N.

2008-01-01

This paper attempts to present the current state of computer science penetration into librarianship in terms of both workplace and education issues. The shift from material libraries into digital libraries is mirrored in the corresponding shift from librarians into information scientists. New library data and metadata, as well as new automated…

Patterns of biomedical science production in a sub-Saharan research center

Directory of Open Access Journals (Sweden)

Agnandji Selidji T

2012-03-01

Full Text Available Abstract Background Research activities in sub-Saharan Africa may be limited to delegated tasks due to the strong control from Western collaborators, which could lead to scientific production of little value in terms of its impact on social and economic innovation in less developed areas. However, the current contexts of international biomedical research including the development of public-private partnerships and research institutions in Africa suggest that scientific activities are growing in sub-Saharan Africa. This study aims to describe the patterns of clinical research activities at a sub-Saharan biomedical research center. Methods In-depth interviews were conducted with a core group of researchers at the Medical Research Unit of the Albert Schweitzer Hospital from June 2009 to February 2010 in Lambaréné, Gabon. Scientific activities running at the MRU as well as the implementation of ethical and regulatory standards were covered by the interview sessions. Results The framework of clinical research includes transnational studies and research initiated locally. In transnational collaborations, a sub-Saharan research institution may be limited to producing confirmatory and late-stage data with little impact on economic and social innovation. However, ethical and regulatory guidelines are being implemented taking into consideration the local contexts. Similarly, the scientific content of studies designed by researchers at the MRU, if local needs are taken into account, may potentially contribute to a scientific production with long-term value on social and economic innovation in sub-Saharan Africa. Conclusion Further research questions and methods in social sciences should comprehensively address the construction of scientific content with the social, economic and cultural contexts surrounding research activities.

Molecular Science Computing Facility Scientific Challenges: Linking Across Scales

Energy Technology Data Exchange (ETDEWEB)

De Jong, Wibe A.; Windus, Theresa L.

2005-07-01

The purpose of this document is to define the evolving science drivers for performing environmental molecular research at the William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) and to provide guidance associated with the next-generation high-performance computing center that must be developed at EMSL's Molecular Science Computing Facility (MSCF) in order to address this critical research. The MSCF is the pre-eminent computing facility?supported by the U.S. Department of Energy's (DOE's) Office of Biological and Environmental Research (BER)?tailored to provide the fastest time-to-solution for current computational challenges in chemistry and biology, as well as providing the means for broad research in the molecular and environmental sciences. The MSCF provides integral resources and expertise to emerging EMSL Scientific Grand Challenges and Collaborative Access Teams that are designed to leverage the multiple integrated research capabilities of EMSL, thereby creating a synergy between computation and experiment to address environmental molecular science challenges critical to DOE and the nation.

Computing Whether She Belongs: Stereotypes Undermine Girls' Interest and Sense of Belonging in Computer Science

Science.gov (United States)

Master, Allison; Cheryan, Sapna; Meltzoff, Andrew N.

2016-01-01

Computer science has one of the largest gender disparities in science, technology, engineering, and mathematics. An important reason for this disparity is that girls are less likely than boys to enroll in necessary "pipeline courses," such as introductory computer science. Two experiments investigated whether high-school girls' lower…

Institute for Computer Applications in Science and Engineering (ICASE)

Science.gov (United States)

1984-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, numerical analysis and computer science during the period April 1, 1983 through September 30, 1983 is summarized.

11th International Conference on Practical Applications of Computational Biology & Bioinformatics

CERN Document Server

Mohamad, Mohd; Rocha, Miguel; Paz, Juan; Pinto, Tiago

2017-01-01

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information and requires tools from the computational sciences. In the last few years, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of r...

8th International Conference on Practical Applications of Computational Biology & Bioinformatics

CERN Document Server

Rocha, Miguel; Fdez-Riverola, Florentino; Santana, Juan

2014-01-01

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researche...

10th International Conference on Practical Applications of Computational Biology & Bioinformatics

CERN Document Server

Rocha, Miguel; Fdez-Riverola, Florentino; Mayo, Francisco; Paz, Juan

2016-01-01

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researche...

Radiosynthesis and in vitro evaluation of the polystyrene particles as a promising probe in biomedical sciences

International Nuclear Information System (INIS)

Chen Jianmin; Tan Mingguang; Wu Yuanfang; Zhang Guilin; Li Yan

2005-01-01

Polystyrene particles with precise monodisperse particle size distributions ranging from 20nm to 90μm is now commercially available and it has very useful and versatile applications in many life sciences research fields. A simple direct labeling method was used to synthesis the iodinated ultrafine polystyrene particles. The assay of X-ray photoelectron spectroscopy(XPS) as well as Fourier Transform Infrared Spectroscopy (FTIR) indicated the formation of stable covalent bond to aryl group of the polymer particles. The purified radiosynthesis product was incubated with serum of rat, and then evaluated by in vitro stability test. The result showed that radioiodinated ultrafine polystyrene particles were largely unmetablized at 2 hours post-exposure, indicating the potential useful application of this widely used polymer particles as a promising probe in biomedical and pharmaceutical sciences.

Hispanic Women Overcoming Deterrents to Computer Science: A Phenomenological Study

Science.gov (United States)

Herling, Lourdes

2011-01-01

The products of computer science are important to all aspects of society and are tools in the solution of the world's problems. It is, therefore, troubling that the United States faces a shortage in qualified graduates in computer science. The number of women and minorities in computer science is significantly lower than the percentage of the…

Sixth Computational Biomechanics for Medicine Workshop

CERN Document Server

Nielsen, Poul MF; Miller, Karol; Computational Biomechanics for Medicine : Deformation and Flow

2012-01-01

One of the greatest challenges for mechanical engineers is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, biomedical sciences, and medicine. This book is an opportunity for computational biomechanics specialists to present and exchange opinions on the opportunities of applying their techniques to computer-integrated medicine. Computational Biomechanics for Medicine: Deformation and Flow collects the papers from the Sixth Computational Biomechanics for Medicine Workshop held in Toronto in conjunction with the Medical Image Computing and Computer Assisted Intervention conference. The topics covered include: medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease prognosis and diagnostics, injury mechanism analysis, implant and prostheses design, and medical robotics.

"Computer Science Can Feed a Lot of Dreams"

Science.gov (United States)

Educational Horizons, 2014

2014-01-01

Pat Yongpradit is the director of education at Code.org. He leads all education efforts, including professional development and curriculum creation, and he builds relationships with school districts. Pat joined "Educational Horizons" to talk about why it is important to teach computer science--even for non-computer science teachers. This…

Collaboration, Collusion and Plagiarism in Computer Science Coursework

Science.gov (United States)

Fraser, Robert

2014-01-01

We present an overview of the nature of academic dishonesty with respect to computer science coursework. We discuss the efficacy of various policies for collaboration with regard to student education, and we consider a number of strategies for mitigating dishonest behaviour on computer science coursework by addressing some common causes. Computer…

Case Studies of Liberal Arts Computer Science Programs

Science.gov (United States)

Baldwin, D.; Brady, A.; Danyluk, A.; Adams, J.; Lawrence, A.

2010-01-01

Many undergraduate liberal arts institutions offer computer science majors. This article illustrates how quality computer science programs can be realized in a wide variety of liberal arts settings by describing and contrasting the actual programs at five liberal arts colleges: Williams College, Kalamazoo College, the State University of New York…

New Pedagogies on Teaching Science with Computer Simulations

Science.gov (United States)

Khan, Samia

2011-01-01

Teaching science with computer simulations is a complex undertaking. This case study examines how an experienced science teacher taught chemistry using computer simulations and the impact of his teaching on his students. Classroom observations over 3 semesters, teacher interviews, and student surveys were collected. The data was analyzed for (1)…

Barbara Ryder to head Department of Computer Science

OpenAIRE

Daniilidi, Christina

2008-01-01

Barbara G. Ryder, professor of computer science at Rutgers, The State University of New Jersey, will become the computer science department head at Virginia Tech, starting in fall 2008. She is the first woman to serve as a department head in the history of the nationally ranked College of Engineering.

Research in Applied Mathematics, Fluid Mechanics and Computer Science

Science.gov (United States)

1999-01-01

This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, fluid mechanics, and computer science during the period October 1, 1998 through March 31, 1999.

clearScience: Infrastructure for Communicating Data-Intensive Science.

Science.gov (United States)

Bot, Brian M; Burdick, David; Kellen, Michael; Huang, Erich S

2013-01-01

Progress in biomedical research requires effective scientific communication to one's peers and to the public. Current research routinely encompasses large datasets and complex analytic processes, and the constraints of traditional journal formats limit useful transmission of these elements. We are constructing a framework through which authors can not only provide the narrative of what was done, but the primary and derivative data, the source code, the compute environment, and web-accessible virtual machines. This infrastructure allows authors to "hand their machine"- prepopulated with libraries, data, and code-to those interested in reviewing or building off of their work. This project, "clearScience," seeks to provide an integrated system that accommodates the ad hoc nature of discovery in the data-intensive sciences and seamless transitions from working to reporting. We demonstrate that rather than merely describing the science being reported, one can deliver the science itself.

Exploring the consequences of combining medical students with and without a background in biomedical sciences.

Science.gov (United States)

Ellaway, Rachel H; Bates, Amanda; Girard, Suzanne; Buitenhuis, Deanna; Lee, Kyle; Warton, Aidan; Russell, Steve; Caines, Jill; Traficante, Eric; Graves, Lisa

2014-07-01

Medical schools have tended to admit students with strong backgrounds in the biomedical sciences. Previous studies have shown that those with backgrounds in the social sciences can be as successful in medical school as those with science backgrounds. However, the experience of being a 'non-science' student over time has not been well described. A mixed-methods study was developed and run with the aim of elucidating the personal experiences of science and non-science students at our institution. Data were generated from a student survey that focused on participants' self-identification as science or non-science students, and on their sense of preparedness and stress, and from a series of student focus groups exploring participants' experiences of science and non-science issues in all aspects of their training. Descriptive statistics were generated for structured survey data. Focus group data and unstructured survey data were analysed to identify common themes. End-of-module and end-of-year examination data for the four class cohorts in the programme were also analysed to compare science and non-science student performance over time. There were clear differences between the experiences and performance of science and non-science students. We found dichotomies in students' self-reported sense of preparedness and stress levels, and marked differences in their examination performance, which diminished over time to converge around the third year of their studies. Combining science and non-science students in the same class affected the students to different extents and in different ways. The potential disruption of mixing science and non-science students diminished as their levels of performance converged. The psychosocial stress experienced by non-science students and the challenges it posed, in both their academic and their personal lives, have implications for how such students should be supported, and how curricula can be configured to afford quality learning for all

Survey of biomedical and environental data bases, models, and integrated computer systems at Argonne National Laboratory

International Nuclear Information System (INIS)

Murarka, I.P.; Bodeau, D.J.; Scott, J.M.; Huebner, R.H.

1978-08-01

This document contains an inventory (index) of information resources pertaining to biomedical and environmental projects at Argonne National Laboratory--the information resources include a data base, model, or integrated computer system. Entries are categorized as models, numeric data bases, bibliographic data bases, or integrated hardware/software systems. Descriptions of the Information Coordination Focal Point (ICFP) program, the system for compiling this inventory, and the plans for continuing and expanding it are given, and suggestions for utilizing the services of the ICFP are outlined

Survey of biomedical and environental data bases, models, and integrated computer systems at Argonne National Laboratory

Energy Technology Data Exchange (ETDEWEB)

Murarka, I.P.; Bodeau, D.J.; Scott, J.M.; Huebner, R.H.

1978-08-01

This document contains an inventory (index) of information resources pertaining to biomedical and environmental projects at Argonne National Laboratory--the information resources include a data base, model, or integrated computer system. Entries are categorized as models, numeric data bases, bibliographic data bases, or integrated hardware/software systems. Descriptions of the Information Coordination Focal Point (ICFP) program, the system for compiling this inventory, and the plans for continuing and expanding it are given, and suggestions for utilizing the services of the ICFP are outlined.

Sierra Leone Journal of Biomedical Research

African Journals Online (AJOL)

MHRL

Sierra Leone Journal of Biomedical Research. (A publication of the College of Medicine and Allied Health Sciences, University of Sierra Leone). ©Sierra Leone Journal .... was used to. She seemed to have had a change of mind after ingesting.

Journal of Computer Science and Its Application: Site Map

African Journals Online (AJOL)

Journal of Computer Science and Its Application: Site Map. Journal Home > About the Journal > Journal of Computer Science and Its Application: Site Map. Log in or Register to get access to full text downloads.

Journal of Computer Science and Its Application: Journal Sponsorship

African Journals Online (AJOL)

Journal of Computer Science and Its Application: Journal Sponsorship. Journal Home > About the Journal > Journal of Computer Science and Its Application: Journal Sponsorship. Log in or Register to get access to full text downloads.

African-American males in computer science---Examining the pipeline for clogs

Science.gov (United States)

Stone, Daryl Bryant

The literature on African-American males (AAM) begins with a statement to the effect that "Today young Black men are more likely to be killed or sent to prison than to graduate from college." Why are the numbers of African-American male college graduates decreasing? Why are those enrolled in college not majoring in the science, technology, engineering, and mathematics (STEM) disciplines? This research explored why African-American males are not filling the well-recognized industry need for Computer Scientist/Technologists by choosing college tracks to these careers. The literature on STEM disciplines focuses largely on women in STEM, as opposed to minorities, and within minorities, there is a noticeable research gap in addressing the needs and opportunities available to African-American males. The primary goal of this study was therefore to examine the computer science "pipeline" from the African-American male perspective. The method included a "Computer Science Degree Self-Efficacy Scale" be distributed to five groups of African-American male students, to include: (1) fourth graders, (2) eighth graders, (3) eleventh graders, (4) underclass undergraduate computer science majors, and (5) upperclass undergraduate computer science majors. In addition to a 30-question self-efficacy test, subjects from each group were asked to participate in a group discussion about "African-American males in computer science." The audio record of each group meeting provides qualitative data for the study. The hypotheses include the following: (1) There is no significant difference in "Computer Science Degree" self-efficacy between fourth and eighth graders. (2) There is no significant difference in "Computer Science Degree" self-efficacy between eighth and eleventh graders. (3) There is no significant difference in "Computer Science Degree" self-efficacy between eleventh graders and lower-level computer science majors. (4) There is no significant difference in "Computer Science Degree

International Developments in Computer Science.

Science.gov (United States)

1982-06-01

background on 52 53 China’s scientific research and on their computer science before 1978. A useful companion to the directory is another publication of the...bimonthly publication in Portuguese; occasional translation of foreign articles into Portuguese. Data News: A bimonthly industry newsletter. Sistemas ...computer-related topics; Spanish. Delta: Publication of local users group; Spanish. Sistemas : Publication of System Engineers of Colombia; Spanish. CUBA

Computer science II essentials

CERN Document Server

Raus, Randall

2012-01-01

REA's Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Computer Science II includes organization of a computer, memory and input/output, coding, data structures, and program development. Also included is an overview of the most commonly

Advances in biomedical engineering and biotechnology during 2013-2014.

Science.gov (United States)

Liu, Feng; Wang, Ying; Burkhart, Timothy A; González Penedo, Manuel Francisco; Ma, Shaodong

2014-01-01

The 3rd International Conference on Biomedical Engineering and Biotechnology (iCBEB 2014), held in Beijing from the 25th to the 28th of September 2014, is an annual conference that intends to provide an opportunity for researchers and practitioners around the world to present the most recent advances and future challenges in the fields of biomedical engineering, biomaterials, bioinformatics and computational biology, biomedical imaging and signal processing, biomechanical engineering and biotechnology, amongst others. The papers published in this issue are selected from this conference, which witnesses the advances in biomedical engineering and biotechnology during 2013-2014.

Biomedical Science Undergraduate Major: A New Pathway to Advance Research and the Health Professions.

Science.gov (United States)

Gunn, John S; Ledford, Cynthia H; Mousetes, Steven J; Grever, Michael R

2018-01-01

Many students entering professional degree programs, particularly M.D., Ph.D., and M.D./Ph.D., are not well prepared regarding the breadth of scientific knowledge required, communication skills, research experience, reading and understanding the scientific literature, and significant shadowing (for M.D.-related professions). In addition, physician scientists are a needed and necessary part of the academic research environment but are dwindling in numbers. In response to predictions of critical shortages of clinician investigators and the lack of proper preparation as undergraduates for these professions, the Biomedical Science (BMS) undergraduate major was created at The Ohio State University to attract incoming college freshmen with interests in scientific research and the healthcare professions. The intent of this major was to graduate an elite cohort of highly talented individuals who would pursue careers in the healthcare professions, biomedical research, or both. Students were admitted to the BMS major through an application and interview process. Admitted cohorts were small, comprising 22 to 26 students, and received a high degree of individualized professional academic advising and mentoring. The curriculum included a minimum of 4 semesters (or 2 years) of supervised research experience designed to enable students to gain skills in clinical and basic science investigation. In addition to covering the prerequisites for medicine and advanced degrees in health professions, the integrated BMS coursework emphasized research literacy as well as skills related to work as a healthcare professional, with additional emphasis on independent learning, teamwork to solve complex problems, and both oral and written communication skills. Supported by Ohio State's Department of Internal Medicine, a unique clinical internship provided selected students with insights into potential careers as physician scientists. In this educational case report, we describe the BMS

Enabling Wide-Scale Computer Science Education through Improved Automated Assessment Tools

Science.gov (United States)

Boe, Bryce A.

There is a proliferating demand for newly trained computer scientists as the number of computer science related jobs continues to increase. University programs will only be able to train enough new computer scientists to meet this demand when two things happen: when there are more primary and secondary school students interested in computer science, and when university departments have the resources to handle the resulting increase in enrollment. To meet these goals, significant effort is being made to both incorporate computational thinking into existing primary school education, and to support larger university computer science class sizes. We contribute to this effort through the creation and use of improved automated assessment tools. To enable wide-scale computer science education we do two things. First, we create a framework called Hairball to support the static analysis of Scratch programs targeted for fourth, fifth, and sixth grade students. Scratch is a popular building-block language utilized to pique interest in and teach the basics of computer science. We observe that Hairball allows for rapid curriculum alterations and thus contributes to wide-scale deployment of computer science curriculum. Second, we create a real-time feedback and assessment system utilized in university computer science classes to provide better feedback to students while reducing assessment time. Insights from our analysis of student submission data show that modifications to the system configuration support the way students learn and progress through course material, making it possible for instructors to tailor assignments to optimize learning in growing computer science classes.

Harnessing supramolecular peptide nanotechnology in biomedical applications

OpenAIRE

Chan, Kiat Hwa; Lee, Wei Hao; Zhuo, Shuangmu; Ni, Ming

2017-01-01

Kiat Hwa Chan,1 Wei Hao Lee,2 Shuangmu Zhuo,3 Ming Ni3 1Division of Science, Yale-NUS College, Singapore; 2Department of Chemistry, Krieger School of Arts & Sciences, Johns Hopkins University, Baltimore, MD, USA; 3Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, People’s Republic of China Abstract: The harnessing of peptides in biomedic...

Arguing for Computer Science in the School Curriculum

Science.gov (United States)

Fluck, Andrew; Webb, Mary; Cox, Margaret; Angeli, Charoula; Malyn-Smith, Joyce; Voogt, Joke; Zagami, Jason

2016-01-01

Computer science has been a discipline for some years, and its position in the school curriculum has been contested differently in several countries. This paper looks at its role in three countries to illustrate these differences. A reconsideration of computer science as a separate subject both in primary and secondary education is suggested. At…

Cloud computing: a new business paradigm for biomedical information sharing.

Science.gov (United States)

Rosenthal, Arnon; Mork, Peter; Li, Maya Hao; Stanford, Jean; Koester, David; Reynolds, Patti

2010-04-01

We examine how the biomedical informatics (BMI) community, especially consortia that share data and applications, can take advantage of a new resource called "cloud computing". Clouds generally offer resources on demand. In most clouds, charges are pay per use, based on large farms of inexpensive, dedicated servers, sometimes supporting parallel computing. Substantial economies of scale potentially yield costs much lower than dedicated laboratory systems or even institutional data centers. Overall, even with conservative assumptions, for applications that are not I/O intensive and do not demand a fully mature environment, the numbers suggested that clouds can sometimes provide major improvements, and should be seriously considered for BMI. Methodologically, it was very advantageous to formulate analyses in terms of component technologies; focusing on these specifics enabled us to bypass the cacophony of alternative definitions (e.g., exactly what does a cloud include) and to analyze alternatives that employ some of the component technologies (e.g., an institution's data center). Relative analyses were another great simplifier. Rather than listing the absolute strengths and weaknesses of cloud-based systems (e.g., for security or data preservation), we focus on the changes from a particular starting point, e.g., individual lab systems. We often find a rough parity (in principle), but one needs to examine individual acquisitions--is a loosely managed lab moving to a well managed cloud, or a tightly managed hospital data center moving to a poorly safeguarded cloud? 2009 Elsevier Inc. All rights reserved.

World Congress on Engineering and Computer Science 2014

CERN Document Server

Amouzegar, Mahyar; Ao, Sio-long

2015-01-01

This volume contains thirty-nine revised and extended research articles, written by prominent researchers participating in the World Congress on Engineering and Computer Science 2014, held in San Francisco, October 22-24 2014. Topics covered include engineering mathematics, electrical engineering, circuit design, communications systems, computer science, chemical engineering, systems engineering, and applications of engineering science in industry. This book describes some significant advances in engineering technologies, and also serves as an excellent source of reference for researchers and graduate students.

Women in computer science: An interpretative phenomenological analysis exploring common factors contributing to women's selection and persistence in computer science as an academic major

Science.gov (United States)

Thackeray, Lynn Roy

The purpose of this study is to understand the meaning that women make of the social and cultural factors that influence their reasons for entering and remaining in study of computer science. The twenty-first century presents many new challenges in career development and workforce choices for both men and women. Information technology has become the driving force behind many areas of the economy. As this trend continues, it has become essential that U.S. citizens need to pursue a career in technologies, including the computing sciences. Although computer science is a very lucrative profession, many Americans, especially women, are not choosing it as a profession. Recent studies have shown no significant differences in math, technical and science competency between men and women. Therefore, other factors, such as social, cultural, and environmental influences seem to affect women's decisions in choosing an area of study and career choices. A phenomenological method of qualitative research was used in this study, based on interviews of seven female students who are currently enrolled in a post-secondary computer science program. Their narratives provided meaning into the social and cultural environments that contribute to their persistence in their technical studies, as well as identifying barriers and challenges that are faced by female students who choose to study computer science. It is hoped that the data collected from this study may provide recommendations for the recruiting, retention and support for women in computer science departments of U.S. colleges and universities, and thereby increase the numbers of women computer scientists in industry. Keywords: gender access, self-efficacy, culture, stereotypes, computer education, diversity.

Multiscale Computation. Needs and Opportunities for BER Science

Energy Technology Data Exchange (ETDEWEB)

Scheibe, Timothy D. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Smith, Jeremy C. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

2015-01-01

The Environmental Molecular Sciences Laboratory (EMSL), a scientific user facility managed by Pacific Northwest National Laboratory for the U.S. Department of Energy, Office of Biological and Environmental Research (BER), conducted a one-day workshop on August 26, 2014 on the topic of “Multiscale Computation: Needs and Opportunities for BER Science.” Twenty invited participants, from various computational disciplines within the BER program research areas, were charged with the following objectives; Identify BER-relevant models and their potential cross-scale linkages that could be exploited to better connect molecular-scale research to BER research at larger scales and; Identify critical science directions that will motivate EMSL decisions regarding future computational (hardware and software) architectures.

Programmers, professors, and parasites: credit and co-authorship in computer science.

Science.gov (United States)

Solomon, Justin

2009-12-01

This article presents an in-depth analysis of past and present publishing practices in academic computer science to suggest the establishment of a more consistent publishing standard. Historical precedent for academic publishing in computer science is established through the study of anecdotes as well as statistics collected from databases of published computer science papers. After examining these facts alongside information about analogous publishing situations and standards in other scientific fields, the article concludes with a list of basic principles that should be adopted in any computer science publishing standard. These principles would contribute to the reliability and scientific nature of academic publications in computer science and would allow for more straightforward discourse in future publications.

Education and research in biomedical engineering of the Budapest University of Technology and Economics.

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Benyó, Z

2006-03-01

Biomedical Engineering is a relatively new interdisciplinary science. This review paper presents the biomedical engineering activity, which is carried out at the Budapest University of Technology and Economics (BUTE) and its partner institutions. In the first parts the main goals and the curriculum of the Biomedical Engineering Education Program is presented. The second part of the paper summarizes the most important biomedical engineering researches most of them carried out in the Biomedical Engineering Laboratory of BUTE.

Repeat: a framework to assess empirical reproducibility in biomedical research

Directory of Open Access Journals (Sweden)

Leslie D. McIntosh

2017-09-01

Full Text Available Abstract Background The reproducibility of research is essential to rigorous science, yet significant concerns of the reliability and verifiability of biomedical research have been recently highlighted. Ongoing efforts across several domains of science and policy are working to clarify the fundamental characteristics of reproducibility and to enhance the transparency and accessibility of research. Methods The aim of the proceeding work is to develop an assessment tool operationalizing key concepts of research transparency in the biomedical domain, specifically for secondary biomedical data research using electronic health record data. The tool (RepeAT was developed through a multi-phase process that involved coding and extracting recommendations and practices for improving reproducibility from publications and reports across the biomedical and statistical sciences, field testing the instrument, and refining variables. Results RepeAT includes 119 unique variables grouped into five categories (research design and aim, database and data collection methods, data mining and data cleaning, data analysis, data sharing and documentation. Preliminary results in manually processing 40 scientific manuscripts indicate components of the proposed framework with strong inter-rater reliability, as well as directions for further research and refinement of RepeAT. Conclusions The use of RepeAT may allow the biomedical community to have a better understanding of the current practices of research transparency and accessibility among principal investigators. Common adoption of RepeAT may improve reporting of research practices and the availability of research outputs. Additionally, use of RepeAT will facilitate comparisons of research transparency and accessibility across domains and institutions.

Functional supramolecular polymers for biomedical applications.

Science.gov (United States)

Dong, Ruijiao; Zhou, Yongfeng; Huang, Xiaohua; Zhu, Xinyuan; Lu, Yunfeng; Shen, Jian

2015-01-21

As a novel class of dynamic and non-covalent polymers, supramolecular polymers not only display specific structural and physicochemical properties, but also have the ability to undergo reversible changes of structure, shape, and function in response to diverse external stimuli, making them promising candidates for widespread applications ranging from academic research to industrial fields. By an elegant combination of dynamic/reversible structures with exceptional functions, functional supramolecular polymers are attracting increasing attention in various fields. In particular, functional supramolecular polymers offer several unique advantages, including inherent degradable polymer backbones, smart responsiveness to various biological stimuli, and the ease for the incorporation of multiple biofunctionalities (e.g., targeting and bioactivity), thereby showing great potential for a wide range of applications in the biomedical field. In this Review, the trends and representative achievements in the design and synthesis of supramolecular polymers with specific functions are summarized, as well as their wide-ranging biomedical applications such as drug delivery, gene transfection, protein delivery, bio-imaging and diagnosis, tissue engineering, and biomimetic chemistry. These achievements further inspire persistent efforts in an emerging interdisciplin-ary research area of supramolecular chemistry, polymer science, material science, biomedical engineering, and nanotechnology. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

From GRID to gridlock: the relationship between scientific biomedical breakthroughs and HIV/AIDS policy in the US Congress.

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Platt, Matthew B; Platt, Manu O

2013-11-27

From the travel ban on people living with HIV (PLHIV) to resistance to needle exchange programmes, there are many examples where policy responses to HIV/AIDS in the United States seem divorced from behavioural, public health and sociological evidence. At its root, however, the unknowns about HIV/AIDS lie at biomedical science, and scientific researchers have made tremendous progress over the past 30 years of the epidemic by using antiretroviral therapy to increase the life expectancy of PLHIV almost to the same level as non-infected individuals; but a relationship between biomedical science discoveries and congressional responses to HIV/AIDS has not been studied. Using quantitative approaches, we directly examine the hypothesis that progress in HIV/AIDS biomedical science discoveries would have a correlative relationship with congressional response to HIV/AIDS from 1981 to 2010. This study used original data on every bill introduced, hearing held and law passed by the US Congress relating to HIV/AIDS over 30 years (1981-2010). We combined congressional data with the most cited and impactful biomedical research scientific publications over the same time period as a metric of biomedical science breakthroughs. Correlations between congressional policy and biomedical research were then analyzed at the aggregate and individual levels. Biomedical research advancements helped shape both the level and content of bill sponsorship on HIV/AIDS, but they had no effect on other stages of the legislative process. Examination of the content of bills and biomedical research indicated that science helped transform HIV/AIDS bill sponsorship from a niche concern of liberal Democrats to a bipartisan coalition when Republicans became the majority party. The trade-off for that expansion has been an emphasis on the global epidemic to the detriment of domestic policies and programmes. Breakthroughs in biomedical science did associate with the number and types of HIV/AIDS bills introduced

New trends in networking, computing, e-learning, systems sciences, and engineering

CERN Document Server

Sobh, Tarek

2015-01-01

This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Informatics, and Systems Sciences, and Engineering. It includes selected papers form the conference proceedings of the Ninth International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2013). Coverage includes topics in: Industrial Electronics, Technology & Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning.  • Provides the latest in a series of books growing out of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering; • Includes chapters in the most advanced areas of Computing, Informatics, Systems Sciences, and Engineering; • Accessible to a wide range of readership, including professors, researchers, practitioners and...

Approaching Gender Parity: Women in Computer Science at Afghanistan's Kabul University

Science.gov (United States)

Plane, Jandelyn

2010-01-01

This study explores the representation of women in computer science at the tertiary level through data collected about undergraduate computer science education at Kabul University in Afghanistan. Previous studies have theorized reasons for underrepresentation of women in computer science, and while many of these reasons are indeed present in…

2012 International Conference on Teaching and Computational Science (ICTCS 2012)

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Advanced Technology in Teaching

2013-01-01

2012 International Conference on Teaching and Computational Science (ICTCS 2012) is held on April 1-2, 2012, Macao.   This volume contains 120 selected papers presented at 2012 International Conference on Teaching and Computational Science (ICTCS 2012), which is to bring together researchers working in many different areas of teaching and computational Science to foster international collaborations and exchange of new ideas.   This volume book can be divided into two sections on the basis of the classification of manuscripts considered. The first section deals with teaching. The second section of this volume consists of computational Science.   We hope that all the papers here published can benefit you in the related researching fields.

77 FR 4568 - Annual Computational Science Symposium; Public Conference

Science.gov (United States)

2012-01-30

...] Annual Computational Science Symposium; Public Conference AGENCY: Food and Drug Administration, HHS... with the Pharmaceutical Users Software Exchange (PhUSE), is announcing a public conference entitled ``The FDA/PhUSE Annual Computational Science Symposium.'' The purpose of the conference is to help the...

6th International Conference on Computer Science and its Applications

CERN Document Server

Stojmenovic, Ivan; Jeong, Hwa; Yi, Gangman

2015-01-01

The 6th FTRA International Conference on Computer Science and its Applications (CSA-14) will be held in Guam, USA, Dec. 17 - 19, 2014. CSA-14 presents a comprehensive conference focused on the various aspects of advances in engineering systems in computer science, and applications, including ubiquitous computing, U-Health care system, Big Data, UI/UX for human-centric computing, Computing Service, Bioinformatics and Bio-Inspired Computing and will show recent advances on various aspects of computing technology, Ubiquitous Computing Services and its application.

30th International Symposium on Computer and Information Sciences

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Gelenbe, Erol; Gorbil, Gokce; Lent, Ricardo

2016-01-01

The 30th Anniversary of the ISCIS (International Symposium on Computer and Information Sciences) series of conferences, started by Professor Erol Gelenbe at Bilkent University, Turkey, in 1986, will be held at Imperial College London on September 22-24, 2015. The preceding two ISCIS conferences were held in Krakow, Poland in 2014, and in Paris, France, in 2013.   The Proceedings of ISCIS 2015 published by Springer brings together rigorously reviewed contributions from leading international experts. It explores new areas of research and technological development in computer science, computer engineering, and information technology, and presents new applications in fast changing fields such as information science, computer science and bioinformatics.   The topics covered include (but are not limited to) advances in networking technologies, software defined networks, distributed systems and the cloud, security in the Internet of Things, sensor systems, and machine learning and large data sets.

Private Data Analytics on Biomedical Sensing Data via Distributed Computation.

Science.gov (United States)

Gong, Yanmin; Fang, Yuguang; Guo, Yuanxiong

2016-01-01

Advances in biomedical sensors and mobile communication technologies have fostered the rapid growth of mobile health (mHealth) applications in the past years. Users generate a high volume of biomedical data during health monitoring, which can be used by the mHealth server for training predictive models for disease diagnosis and treatment. However, the biomedical sensing data raise serious privacy concerns because they reveal sensitive information such as health status and lifestyles of the sensed subjects. This paper proposes and experimentally studies a scheme that keeps the training samples private while enabling accurate construction of predictive models. We specifically consider logistic regression models which are widely used for predicting dichotomous outcomes in healthcare, and decompose the logistic regression problem into small subproblems over two types of distributed sensing data, i.e., horizontally partitioned data and vertically partitioned data. The subproblems are solved using individual private data, and thus mHealth users can keep their private data locally and only upload (encrypted) intermediate results to the mHealth server for model training. Experimental results based on real datasets show that our scheme is highly efficient and scalable to a large number of mHealth users.

Report on Computing and Networking in the Space Science Laboratory by the SSL Computer Committee

Science.gov (United States)

Gallagher, D. L. (Editor)

1993-01-01

The Space Science Laboratory (SSL) at Marshall Space Flight Center is a multiprogram facility. Scientific research is conducted in four discipline areas: earth science and applications, solar-terrestrial physics, astrophysics, and microgravity science and applications. Representatives from each of these discipline areas participate in a Laboratory computer requirements committee, which developed this document. The purpose is to establish and discuss Laboratory objectives for computing and networking in support of science. The purpose is also to lay the foundation for a collective, multiprogram approach to providing these services. Special recognition is given to the importance of the national and international efforts of our research communities toward the development of interoperable, network-based computer applications.

The Information Science Experiment System - The computer for science experiments in space

Science.gov (United States)

Foudriat, Edwin C.; Husson, Charles

1989-01-01

The concept of the Information Science Experiment System (ISES), potential experiments, and system requirements are reviewed. The ISES is conceived as a computer resource in space whose aim is to assist computer, earth, and space science experiments, to develop and demonstrate new information processing concepts, and to provide an experiment base for developing new information technology for use in space systems. The discussion covers system hardware and architecture, operating system software, the user interface, and the ground communication link.

Overview of the biomedical and environmental programs at the Oak Ridge National Laboratory

International Nuclear Information System (INIS)

Pfuderer, H.A.; Moody, J.B.

1981-07-01

Separate abstracts were prepared for each of the 6 chapters presented by the six divisions involved in the Biomedical and Environmental Sciences Program at Oak Ridge National Laboratory. The introduction is not covered by an abstract and deals with the environmental, health and safety considerations of energy technology decisions, the major initiatives now being taken by these 6 divisions, and recent major accomplishments in the biomedical and environmental science program

Brains--Computers--Machines: Neural Engineering in Science Classrooms

Science.gov (United States)

Chudler, Eric H.; Bergsman, Kristen Clapper

2016-01-01

Neural engineering is an emerging field of high relevance to students, teachers, and the general public. This feature presents online resources that educators and scientists can use to introduce students to neural engineering and to integrate core ideas from the life sciences, physical sciences, social sciences, computer science, and engineering…

The science of computing shaping a discipline

CERN Document Server

Tedre, Matti

2014-01-01

The identity of computing has been fiercely debated throughout its short history. Why is it still so hard to define computing as an academic discipline? Is computing a scientific, mathematical, or engineering discipline? By describing the mathematical, engineering, and scientific traditions of computing, The Science of Computing: Shaping a Discipline presents a rich picture of computing from the viewpoints of the field's champions. The book helps readers understand the debates about computing as a discipline. It explains the context of computing's central debates and portrays a broad perspecti

Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering

CERN Document Server

Elleithy, Khaled

2013-01-01

Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of  Industrial Electronics, Technology & Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning. This book includes the proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2010). The proceedings are a set of rigorously reviewed world-class manuscripts presenting the state of international practice in Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications.

Innovations and advances in computing, informatics, systems sciences, networking and engineering

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Elleithy, Khaled

2015-01-01

Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering  This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Informatics, and Systems Sciences, and Engineering. It includes selected papers from the conference proceedings of the Eighth and some selected papers of the Ninth International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2012 & CISSE 2013). Coverage includes topics in: Industrial Electronics, Technology & Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning.  ·       Provides the latest in a series of books growing out of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering; ·       Includes chapters in the most a...

IEEE International Symposium on Biomedical Imaging.

Science.gov (United States)

2017-01-01

The IEEE International Symposium on Biomedical Imaging (ISBI) is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation. It fosters knowledge transfer among different imaging communities and contributes to an integrative approach to biomedical imaging. ISBI is a joint initiative from the IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology Society (EMBS). The 2018 meeting will include tutorials, and a scientific program composed of plenary talks, invited special sessions, challenges, as well as oral and poster presentations of peer-reviewed papers. High-quality papers are requested containing original contributions to the topics of interest including image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological, and statistical modeling. Accepted 4-page regular papers will be published in the symposium proceedings published by IEEE and included in IEEE Xplore. To encourage attendance by a broader audience of imaging scientists and offer additional presentation opportunities, ISBI 2018 will continue to have a second track featuring posters selected from 1-page abstract submissions without subsequent archival publication.

Opal web services for biomedical applications.

Science.gov (United States)

Ren, Jingyuan; Williams, Nadya; Clementi, Luca; Krishnan, Sriram; Li, Wilfred W

2010-07-01

Biomedical applications have become increasingly complex, and they often require large-scale high-performance computing resources with a large number of processors and memory. The complexity of application deployment and the advances in cluster, grid and cloud computing require new modes of support for biomedical research. Scientific Software as a Service (sSaaS) enables scalable and transparent access to biomedical applications through simple standards-based Web interfaces. Towards this end, we built a production web server (http://ws.nbcr.net) in August 2007 to support the bioinformatics application called MEME. The server has grown since to include docking analysis with AutoDock and AutoDock Vina, electrostatic calculations using PDB2PQR and APBS, and off-target analysis using SMAP. All the applications on the servers are powered by Opal, a toolkit that allows users to wrap scientific applications easily as web services without any modification to the scientific codes, by writing simple XML configuration files. Opal allows both web forms-based access and programmatic access of all our applications. The Opal toolkit currently supports SOAP-based Web service access to a number of popular applications from the National Biomedical Computation Resource (NBCR) and affiliated collaborative and service projects. In addition, Opal's programmatic access capability allows our applications to be accessed through many workflow tools, including Vision, Kepler, Nimrod/K and VisTrails. From mid-August 2007 to the end of 2009, we have successfully executed 239,814 jobs. The number of successfully executed jobs more than doubled from 205 to 411 per day between 2008 and 2009. The Opal-enabled service model is useful for a wide range of applications. It provides for interoperation with other applications with Web Service interfaces, and allows application developers to focus on the scientific tool and workflow development. Web server availability: http://ws.nbcr.net.

Academic computer science and gender: A naturalistic study investigating the causes of attrition

Science.gov (United States)

Declue, Timothy Hall

Far fewer women than men take computer science classes in high school, enroll in computer science programs in college, or complete advanced degrees in computer science. The computer science pipeline begins to shrink for women even before entering college, but it is at the college level that the "brain drain" is the most evident numerically, especially in the first class taken by most computer science majors called "Computer Science 1" or CS-I. The result, for both academia and industry, is a pronounced technological gender disparity in academic and industrial computer science. The study revealed the existence of several factors influencing success in CS-I. First, and most clearly, the effect of attribution processes seemed to be quite strong. These processes tend to work against success for females and in favor of success for males. Likewise, evidence was discovered which strengthens theories related to prior experience and the perception that computer science has a culture which is hostile to females. Two unanticipated themes related to the motivation and persistence of successful computer science majors. The findings did not support the belief that females have greater logistical problems in computer science than males, or that females tend to have a different programming style than males which adversely affects the females' ability to succeed in CS-I.

Physical Computing and Its Scope--Towards a Constructionist Computer Science Curriculum with Physical Computing

Science.gov (United States)

Przybylla, Mareen; Romeike, Ralf

2014-01-01

Physical computing covers the design and realization of interactive objects and installations and allows students to develop concrete, tangible products of the real world, which arise from the learners' imagination. This can be used in computer science education to provide students with interesting and motivating access to the different topic…

Studies in Mathematics, Volume 22. Studies in Computer Science.

Science.gov (United States)

Pollack, Seymour V., Ed.

The nine articles in this collection were selected because they represent concerns central to computer science, emphasize topics of particular interest to mathematicians, and underscore the wide range of areas deeply and continually affected by computer science. The contents consist of: "Introduction" (S. V. Pollack), "The…

Citation Analysis for Biomedical and Health Sciences Journals Published in Korea.

Science.gov (United States)

Oh, Juyeon; Chang, Hyejung; Kim, Jung A; Choi, Mona; Park, Ziyoung; Cho, Yoonhee; Lee, Eun-Gyu

2017-07-01

A citation analysis of biomedical and health sciences journals was conducted based on their enlistment in journal databases to identify the factors contributing to the citation metrics. Among the 1,219 academic journals managed by the National Center for Medical Information and Knowledge at the Korea Centers for Disease Control and Prevention, 556 journals were included for analysis as of July 2016. The characteristics of the journals include history years, publication media, language, open-access policy as well as the status enlisted in international and domestic databases, such as Science Citation Index (SCI), Scopus, Medline, PubMed Central, Embase, and Korea Citation Index (KCI). Six bibliometric measures were collected from SCI, Scopus, and KCI as of 2015, the most recent disclosure year. Analyses of group differences and influential factors were conducted using t -tests, Mann-Whitney tests, and multiple regression. Journal characteristics, such as history years, publication media, and open-access policy, were not significant factors influencing global or domestical citation of the journals. However, global citations were higher for SCI and Medline enlisted journals than for their counterparts. Among KCI journals, the KCI impact factors of journals published in English only were lower. Efforts by journals to be enlisted in international databases, especially in SCI and Medline, are critical to enhance their global circulation. However, articles published in English only hinder the use of domestic researchers. Different strategies are required for enhancing international and domestic readerships.

Innovations and Advances in Computer, Information, Systems Sciences, and Engineering

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Sobh, Tarek

2013-01-01

Innovations and Advances in Computer, Information, Systems Sciences, and Engineering includes the proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 2011). The contents of this book are a set of rigorously reviewed, world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of  Industrial Electronics, Technology and Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning.

Curricular Influences on Female Afterschool Facilitators' Computer Science Interests and Career Choices

Science.gov (United States)

Koch, Melissa; Gorges, Torie

2016-10-01

Underrepresented populations such as women, African-Americans, and Latinos/as often come to STEM (science, technology, engineering, and mathematics) careers by less traditional paths than White and Asian males. To better understand how and why women might shift toward STEM, particularly computer science, careers, we investigated the education and career direction of afterschool facilitators, primarily women of color in their twenties and thirties, who taught Build IT, an afterschool computer science curriculum for middle school girls. Many of these women indicated that implementing Build IT had influenced their own interest in technology and computer science and in some cases had resulted in their intent to pursue technology and computer science education. We wanted to explore the role that teaching Build IT may have played in activating or reactivating interest in careers in computer science and to see whether in the years following implementation of Build IT, these women pursued STEM education and/or careers. We reached nine facilitators who implemented the program in 2011-12 or shortly after. Many indicated that while facilitating Build IT, they learned along with the participants, increasing their interest in and confidence with technology and computer science. Seven of the nine participants pursued further STEM or computer science learning or modified their career paths to include more of a STEM or computer science focus. Through interviews, we explored what aspects of Build IT influenced these facilitators' interest and confidence in STEM and when relevant their pursuit of technology and computer science education and careers.

Approaching gender parity: Women in computer science at Afghanistan's Kabul University

Science.gov (United States)

Plane, Jandelyn

This study explores the representation of women in computer science at the tertiary level through data collected about undergraduate computer science education at Kabul University in Afghanistan. Previous studies have theorized reasons for underrepresentation of women in computer science, and while many of these reasons are indeed present in Afghanistan, they appear to hinder advancement to degree to a lesser extent. Women comprise at least 36% of each graduating class from KU's Computer Science Department; however, in 2007 women were 25% of the university population. In the US, women comprise over 50% of university populations while only graduating on average 25% women in undergraduate computer science programs. Representation of women in computer science in the US is 50% below the university rate, but at KU, it is 50% above the university rate. This mixed methods study of KU was conducted in the following three stages: setting up focus groups with women computer science students, distributing surveys to all students in the CS department, and conducting a series of 22 individual interviews with fourth year CS students. The analysis of the data collected and its comparison to literature on university/department retention in Science, Technology, Engineering and Mathematics gender representation and on women's education in underdeveloped Islamic countries illuminates KU's uncharacteristic representation of women in its Computer Science Department. The retention of women in STEM through the education pipeline has several characteristics in Afghanistan that differ from countries often studied in available literature. Few Afghan students have computers in their home and few have training beyond secretarial applications before considering studying CS at university. University students in Afghanistan are selected based on placement exams and are then assigned to an area of study, and financially supported throughout their academic career, resulting in a low attrition rate