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1. |
Record Nr. |
UNINA9910583077503321 |
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Autore |
Duroudier Jean-Paul |
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Titolo |
Crystallization and crystallizers / / Jean-Paul Duroudier |
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Pubbl/distr/stampa |
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London, England ; ; Oxford, England : , : iSTE Press : , : Elsevier, , 2016 |
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©2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (210 pages) : illustrations, tables |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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2. |
Record Nr. |
UNINA9910160352203321 |
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Titolo |
A data-based assessment of research-doctorate programs in the United States / / Committee on an Assessment of Research Doctorate Programs ; Jeremiah P. Ostriker, Charlotte V. Kuh, and James A. Voytuk, Paul W. Holland, editors ; Board on Higher Education and Workforce, Policy and Global Affairs, National Research Council of the National Academies |
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Pubbl/distr/stampa |
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Washington, D.C., : National Academies Press, 2010 |
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ISBN |
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0-309-22479-9 |
0-309-45460-3 |
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Descrizione fisica |
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1 online resource (xvii, 304 p.) : ill. ; + 1 CD-ROM |
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Altri autori (Persone) |
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National Research Council (U. S.) |
OstrikerJ. P |
KuhCharlotte V |
VoytukJames A |
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Disciplina |
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Soggetti |
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Universities and colleges - Study and teaching (Graduate) - United States - Evaluation |
Research - United States - Evaluation |
Doctor of philosophy degree - United States - Evaluation |
Science - Study and teaching (Graduate) - United States - Evaluation |
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Humanities - Study and teaching (Graduate) - United States - Evaluation |
Engineering - Study and teaching (Graduate) - United States - Evaluation |
Social sciences - Study and teaching (Graduate) - United States - Evaluation |
Doctor of philosophy degree - Evaluation - United States |
Universities and colleges - Graduate work - Evaluation - United States |
Universities and colleges - Ratings and rankings - United States |
Research - Evaluation - United States |
Educational surveys - United States |
Schools |
Education |
Financial Support |
Health Care Evaluation Mechanisms |
Investigative Techniques |
Education, Professional |
Quality of Health Care |
Economics |
Health Care Quality, Access, and Evaluation |
Health Care Economics and Organizations |
Delivery of Health Care |
Educational Measurement |
Education, Graduate |
Universities |
Research Support as Topic |
Evaluation Studies as Topic |
Social Sciences |
Theory & Practice of Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Includes report, methodology, and data tables. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Context and motivation -- Study design -- The methodologies used to derive two illustrative rankings -- Some uses of the data -- The data and principal findings -- Looking ahead --Appendixes. |
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Sommario/riassunto |
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"A Data-Based Assessment of Research-Doctorate Programs in the United States provides an unparalleled dataset collected from doctoral programs, doctoral faculty and public sources that can be use to assess the quality and effectiveness of doctoral programs based on measures important to faculty, students, administrators, funders, and other stakeholders. The committee collected 20 measures that include characteristicsof the faculty, such as publications, citations, grants, and diversity; and characteristics of the students, such as their GRE scores, financial support, publications, and diversity; anc characteristics of the program, such as number of Ph.D.s granted over five years, time to degree, percentage of student completion, and placement of students |
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after graduation. The data were collected for the academic year 2005-2006 from more than 5,000 doctoral programs at 212 universities. these observations span 62 fields and the research productivity data are based typicaly on a five-year interval. Some datasets (such as publications and citations) go as far back as 1981. Information on enrollments and faculty size were also collected for 14 emerging fields ... Accompanying the report are Data tables and a detailed explanation of the methodology used to collect data and calculate ranges of rankings--Summary. |
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3. |
Record Nr. |
UNINA9910337471803321 |
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Titolo |
Advances in Nature-Inspired Computing and Applications / / edited by Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (355 pages) |
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Collana |
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EAI/Springer Innovations in Communication and Computing, , 2522-8609 |
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Disciplina |
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Soggetti |
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Telecommunication |
Computational intelligence |
Artificial intelligence |
Dynamics |
Nonlinear theories |
Bioinformatics |
Communications Engineering, Networks |
Computational Intelligence |
Artificial Intelligence |
Applied Dynamical Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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A Nature-inspired Decision System for Secure Cyber Network |
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Architecture -- Optimizing Resource Allocation in Next-Generation Wireless Networks Considering Carrier Aggregation Using Evolutionary Programming -- Artificial Feeding Birds (AFB): a new metaheuristic inspired by the behavior of pigeons -- Nature – Inspired Algorithms for Medical Image Processing -- Firefly Algorithm applied to the Estimation of Parameters of Photovoltaic Systems -- Realization of PSO-based Adaptive Beamforming Algorithm for Smart Antennas -- A Multi-objective Analysis and Comparison of Bio-inspired Approaches for the Cluster-Head Selection problem in WSN -- An Energy Efficient Cluster Head Selection using Artificial Bees Colony Optimization for Wireless Sensor Networks -- Modified Krill Herd Algorithm for Global Numerical Optimization Problems -- Application of Nature-Inspired Optimization Techniques in Vessel Traffic Control -- Enhanced throughput and accelerated detection of network attacks using a membrane computingmodel implemented on a GPU -- Physics-based Algorithms for Boolean Target Coverage -- A Hybrid Bio- Inspired Algorithm for Protein Domain Problems -- Modeling Service Discovery over Wireless Mesh Networks. |
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Sommario/riassunto |
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This book contains research contributions from leading global scholars in nature- inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The book focuses on the current research while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing. Topics include Hybrid Bio-inspired Computing; Membrane Computing; Krill Herd Algorithm; Stochastic Optimization; Firefly Optimization Algorithm;Artificial Bee Colony Algorithm; Particle Swarm Optimization; Lion Optimization Algorithm; and Monkey Search Optimization. • Presents complete coverage of nature-inspired computing and applications; • Provides a comprehensive, criticaland descriptive examination of all facetsof nature-inspired algorithms and naturally-intelligent machines; • Fundamentals are emphasized throughout the book to provide strong basis for students. |
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