Abstract measurement theory: Louis Narens The MIT Press, Cambridge, Mass; London, England; 1985. pp vii + 334, £44.75

Contributors

Notes on Contributors

Contributors

Perspectives on Sexual and Reproductive HealthVolume 39, Issue 3 p. 176-180 Developing Spanish-Language Family Planning Materials: Lessons Learned from Extensive Field Tests Colleen Denny-Garamendi, Corresponding Author Colleen Denny-Garamendi aColleen Denny-Garamendi is assistant adjunct professor of public health sciences, School of Medicine, University of California, Davis . bJill Lopez-Rabin was project coordinator, Apoyando a la Mujer Latina. cSylvia Guendelman is professor of community health and human development, School of Public Health, University of California, Berkeley. At the time this project was developed,dSarah Schafer was a medical consultant for Contra Costa Health Services.[email protected]Search for more papers by this author a Jill Lopez-Rabin, Jill Lopez-Rabin aColleen Denny-Garamendi is assistant adjunct professor of public health sciences, School of Medicine, University of California, Davis . bJill Lopez-Rabin was project coordinator, Apoyando a la Mujer Latina. cSylvia Guendelman is professor of community health and human development, School of Public Health, University of California, Berkeley. At the time this project was developed,dSarah Schafer was a medical consultant for Contra Costa Health Services.Search for more papers by this author b Sylvia Guendelman, Sylvia Guendelman aColleen Denny-Garamendi is assistant adjunct professor of public health sciences, School of Medicine, University of California, Davis . bJill Lopez-Rabin was project coordinator, Apoyando a la Mujer Latina. cSylvia Guendelman is professor of community health and human development, School of Public Health, University of California, Berkeley. At the time this project was developed,dSarah Schafer was a medical consultant for Contra Costa Health Services.Search for more papers by this author c Sarah Schafer, Sarah Schafer aColleen Denny-Garamendi is assistant adjunct professor of public health sciences, School of Medicine, University of California, Davis . bJill Lopez-Rabin was project coordinator, Apoyando a la Mujer Latina. cSylvia Guendelman is professor of community health and human development, School of Public Health, University of California, Berkeley. At the time this project was developed,dSarah Schafer was a medical consultant for Contra Costa Health Services.Search for more papers by this author d Colleen Denny-Garamendi, Corresponding Author Colleen Denny-Garamendi aColleen Denny-Garamendi is assistant adjunct professor of public health sciences, School of Medicine, University of California, Davis . bJill Lopez-Rabin was project coordinator, Apoyando a la Mujer Latina. cSylvia Guendelman is professor of community health and human development, School of Public Health, University of California, Berkeley. At the time this project was developed,dSarah Schafer was a medical consultant for Contra Costa Health Services.[email protected]Search for more papers by this author a Jill Lopez-Rabin, Jill Lopez-Rabin aColleen Denny-Garamendi is assistant adjunct professor of public health sciences, School of Medicine, University of California, Davis . bJill Lopez-Rabin was project coordinator, Apoyando a la Mujer Latina. cSylvia Guendelman is professor of community health and human development, School of Public Health, University of California, Berkeley. At the time this project was developed,dSarah Schafer was a medical consultant for Contra Costa Health Services.Search for more papers by this author b Sylvia Guendelman, Sylvia Guendelman aColleen Denny-Garamendi is assistant adjunct professor of public health sciences, School of Medicine, University of California, Davis . bJill Lopez-Rabin was project coordinator, Apoyando a la Mujer Latina. cSylvia Guendelman is professor of community health and human development, School of Public Health, University of California, Berkeley. At the time this project was developed,dSarah Schafer was a medical consultant for Contra Costa Health Services.Search for more papers by this author c Sarah Schafer, Sarah Schafer aColleen Denny-Garamendi is assistant adjunct professor of public health sciences, School of Medicine, University of California, Davis . bJill Lopez-Rabin was project coordinator, Apoyando a la Mujer Latina. cSylvia Guendelman is professor of community health and human development, School of Public Health, University of California, Berkeley. At the time this project was developed,dSarah Schafer was a medical consultant for Contra Costa Health Services.Search for more papers by this author d First published: 06 September 2007 https://doi.org/10.1363/3917607Citations: 4Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Citing Literature Volume39, Issue3September 2007Pages 176-180 RelatedInformation

Political science and other closely related social science disciplines could certainly benefit from the creation of a Directorate for the Social and Behavioral Sciences within the National Science Foundation. I present the case for such organizational restructuring on behalf of the American Political Science Association and the Western Political Science Association, and as a charter member and former President of the Social Science History Association. That a benefit would accrue from a reorganization would seem likely in the face of two organizational imperatives. First, political science and its sister disciplines need direct representation by senior officers of their own directorate in the policy making and resource allocation of at least three additional existing directorates: the Directorate for Computer and Information Science and Engineering, the Directorate for Education and Human Resources, and the Directorate for Scientific, Technological and International Affairs. The needs of political science in these three domains are similar to those of the other social sciences and are distinctly different from the needs of either the life sciences, the geosciences or the mathematical and physical sciences. Social science needs will not, and most likely cannot, be articulated by Foundation officers whose organizational responsibilities are overwhelmingly defined by the needs -and current resources-of the biosciences and whose professional backgrounds lie in one of the biosciences. We believe that the manifold resources of the Foundationprofessional and technical as well as budgetary-have not successfully addressed the needs of the social sciences in large part because the social sciences are not directly represented at the appropriate organizational level within the Foundation. The second organizational imperative stems from the need for greater organizational differentiation within the social sciences. Even though few of the social and behavioral science disciplines are as diverse as the array of subfields in chemistry or its sister disciplines, the full panoply of research specialties across the several social sciences is on a par with the diversity represented in the other substantive directorates. Many of the existing activities of the present Division of Social and Economic Science could be relocated as divisions of the new directorate. For example, without attempting to provide an organizational blueprint for the future, it may be suggested that, as with the other substantive directorates, each of the present disciplinary programs in S.E.S. might well be a division within a Social and Behavioral Science Directorate. They might be joined by a Division of Methods, Measurement and Instrumentation needed to address those problems of data generation and analysis that the disciplinary divisions have in common. Similarly, there should also be a separate division for large-scale multi-purpose data collection and resource development. A quite new division might also be established for activities centered on increasing the scientific usefulness of data generated by governmental agencies. Finally, and still illustratively, a separate division might be created for multi-disciplinary or multi-institutional projects or programs. To give greater clarity to the foregoing prescriptions, consider the following. First, with regard to representing social science needs in other directorates, the computer has become as central-and totally indispensable-to the work ways of social science as to the other sciences. And yet the central tasks for the computer are somewhat different. Certainly in contrast to mathematics, social science does much more data management of numeric data, more archiving and retrieval of non-quantitative materials, and much less sheer computation. On a quite different dimension, social science has its own version of the adaptation of the computer to data generation. In the harnessing of the computer in Computer Assisted Telephone Interviewing, in improving methods of textual analysis, and in the use of the lap top computer for data collection in the field (and quite apart from use in simulation exercises), we are only beginning to exploit fully this technological wonder. As a third illustration, it can be noted that in the absence of large laboratories or research centers which bring together scientists working on common problems, the computer network is becoming an essential feature of the social scientist's life. Both the transmission of data by computer nets and inter-personal exchanges among scientists are probably more crucial for the maturing social sciences than for the more developed disciplines. Many of these and other needs of the social scientist are served indirectly and inadvertently by computer developments in other realms. However, without a new directorate in the Foundation, it seems unrealistic if not unreasonable to expect strong and direct representation of social science computing needs that should affect future Foundation policy and resource allocation. A separate Directorate for the Social and Behavioral Sciences is a necessary, if not sufficient, condition to have an impact on Foundation decisions concerning the development of computer and information science.

<p>The opening years of the twenty –first century have been remarkable ones for mathematical sciences. Mathematical sciences play an essential role in the physical & biological sciences, engineering, medicine, economics, finance & social science. [The mathematical science have become integral to many emerging industries]The mathematical sciences includes for more than numbers they deal with geometrical figures, logical patterns networks, randomness & Predictions from incomplete data, various transforms etc; & the mathematical sciences are part of almost every aspect of everyday life. Laplace transform is a powerful tool which is used in various areas of engineering and science. This paper deals with the application of Laplace transform in cryptography. Cryptology is the science and art of secret communications. Cryptography is the set method used to ensure the secrecy and authenticity of messages. Cryptology plays vital role in the provision of logical barriers to attacks on information systems security. In this paper we can take a review of applications of Laplace transform in cryptography.</p> <p><a href="https://journalnx.com/journal-article/20150235">https://journalnx.com/journal-article/20150235</a></p>

Note from the EditorsToo often, biology has been considered by both students and faculty as the ideal major for the scientifically inclined but mathematically challenged, even though the advantage of quantitative approaches in biology has always been apparent.Increasingly, biologists are utilizing mathematical skills to create simulations or manage and query large data sets.The need for basic mathematical and computer science (CS) literacy among biologists has never been greater.But does this require a fundamental change in the organization of the undergraduate biology curriculum?What is the utility of math/CS in different areas of biology?How can we best provide math/CS instruction to biologists so that the utility is appreciated?Do all biology students require a stronger math/CS foundation, or only those interested in research careers?Given the speed at which technology changes, what is the best preparation?Three different points of view are offered below.Dr. Roger Brent, President and Director of the Molecular Sciences Institute, reflects on the "innumeracy" common among biologists and argues that significant insights into biological problems may be gained from better mathematical intuition.

This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 with the goal of understanding how the MPS domains (Astronomy, Chemistry, Materials Research, Mathematical Sciences, and Physics) can best capitalize on, and contribute to, the future of AI. We present here a summary and snapshot of the MPS community's perspective, as of Spring/Summer 2025, in a rapidly developing field. The link between AI and MPS is becoming increasingly inextricable; now is a crucial moment to strengthen the link between AI and Science by pursuing a strategy that proactively and thoughtfully leverages the potential of AI for scientific discovery and optimizes opportunities to impact the development of AI by applying concepts from fundamental science. To achieve this, we propose activities and strategic priorities that: (1) enable AI+MPS research in both directions; (2) build up an interdisciplinary community of AI+MPS researchers; and (3) foster education and workforce development in AI for MPS researchers and students. We conclude with a summary of suggested priorities for funding agencies, educational institutions, and individual researchers to help position the MPS community to be a leader in, and take full advantage of, the transformative potential of AI+MPS.

Roberto Baldacci (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) is a researcher in operations research at the Department of Electronics, Computer Science, and Systems (DEIS) of the University of Bologna, Italy. His major research interests are in the areas of transportation planning, logistics and distribution, and the solution of vehicle routing and scheduling problems over street networks. His research activities are in the theory and applications of mathematical programming including the design of new heuristic and exact methods for solving routing and location problems. Enrico Bartolini (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) holds a postdoctoral position at the University of Bologna. His research activity concerns the study and development of heuristic and exact algorithms for solving combinatorial optimization problems with applications in logistics and distribution systems, in particular network design problems and some generalizations of the vehicle routing problem. Saif Benjaafar (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is professor of industrial and systems engineering at the University of Minnesota, where he is also founding and current director of the Industrial & Systems Engineering Program, director of the Center for Supply Chain Research, and a faculty scholar with the Center for Transportation Studies. He was a Distinguished Senior Visiting Scientist at Honeywell Laboratories and a visiting professor at universities in France, Belgium, Hong Kong, China, and Singapore. His research is in the areas of supply chain management, service and manufacturing operations, and production and inventory systems, with a current focus on sustainability and environmental modeling. He serves on the editorial board of several journals including Manufacturing & Service Operations Management, Production and Operations Management, Naval Research Logistics, and IIE Transactions. He is a Fellow of the Institute of Industrial Engineers (IIE). Dimitris Bertsimas (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is the Boeing Professor of Operations Research and codirector of the Operations Research Center at the Massachusetts Institute of Technology. This research is part of his work in the last decade on robust optimization for optimization and performance analysis of stochastic systems. Atul Bhandari (“ Revenue Management with Bargaining ”) is manager of the Algorithms Team at SmartOps. He supervises the design and development of enterprise inventory optimization algorithms, supervises modeling and analysis support for sales and implementation efforts, and leads educational sessions. He earned a Ph.D. in operations research from the Carnegie Mellon University Tepper School of Business. Sushil Bikhchandani (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is professor of decisions, operations, and technology management at the Anderson School of Management at the University of California, Los Angeles. He is interested in the economics of incentives and its application to auctions, market institutions, and social learning. J. Paul Brooks (“ Support Vector Machines with the Ramp Loss and the Hard Margin Loss ”) is an assistant professor of operations research in the Department of Statistical Sciences and Operations Research and a fellow of the Center for Study of Biological Complexity, Virginia Commonwealth University. He is currently secretary/treasurer of the INFORMS Section on Data Mining. His research interests include the design of optimization-based algorithms for data mining and their application to biomedical data. He is also interested in applications of optimization to models of cellular metabolism and network design problems. Sungyong Choi (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is an instructor in the Department of Management Science and Information Systems at Rutgers University. Dr. Choi's research interests are in the area of stochastic modeling and its application in supply chain management. Milind Dawande (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ” and “ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is professor and area coordinator of operations management at the School of Management, University of Texas at Dallas. His research interests are in discrete optimization problems in manufacturing and operations. His papers have appeared in a number of research outlets, including Operations Research, Management Science, Manufacturing & Service Operations Management, and the INFORMS Journal on Computing. Mehmet Demirci (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is a supply chain sales engineer at SmartOps. He holds a Ph.D. degree in industrial engineering from the University of Pittsburgh. His research interests include inventory optimization, operations management, large-scale combinatorial optimization, and operations research applications in health care. Sven de Vries (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is a professor of operations research in the Department of Mathematics at the Universität Trier. His research interests include combinatorial optimization and auctions. Xiaowei Ding (“ A Top-Down Approach to Multiname Credit ”) is an associate at Morgan Stanley's Commodity Trading Group. Mohsen ElHafsi (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is a professor at the Anderson Graduate School of Management at the University of California, Riverside, where he also serves as associate dean and graduate advisor. He holds Ph.D. and M.Sc. degrees from the Industrial and Systems Engineering Department at the University of Florida and was the Honor Graduate. He received the Qualified Engineer degree, with honors, from the Ecole Nationale d'Ingénieurs de Tunis, Tunisia. His area of research includes operations and supply chain management, manufacturing and service operations, and production and inventory systems. Amr Farahat (“ A Comparison of Bertrand and Cournot Profits in Oligopolies with Differentiated Products ”) is an assistant professor at the Johnson Graduate School of Management at Cornell University. He obtained his doctoral degree in operations research from the Massachusetts Institute of Technology. His current research focuses on differentiated product pricing, inventory management, and competition. He is interested in problems at the interface of operations management, economics, and marketing. Vivek F. Farias (“ The Irrevocable Multiarmed Bandit Problem ”) is the Robert N. Noyce Career Development Assistant Professor of Management at the Sloan School of Management and the Operations Research Center at the Massachusetts Institute of Technology. His research focuses on revenue management, dynamic optimization, and the analysis of complex stochastic systems. The paper in this issue is part of the author's research in the context of dynamic optimization. David Gamarnik (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is an associate professor of operations research at the Sloan School of Management of the Massachusetts Institute of Technology. His research interests include applied probability and stochastic processes, theory of random combinatorial structures and algorithms, and various applications. He currently serves as an associate editor of Annals of Applied Probability, Operations Research, Mathematics of Operations Research, and queueing systems journals. Srinagesh Gavirneni (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is an assistant professor of operations management in the Johnson Graduate School of Management at Cornell University. His research interests are in the areas of supply chain management, inventory control, production scheduling, simulation, and optimization. His papers have appeared in Management Science, Manufacturing & Service Operations Management, Operations Research, European Journal of Operational Research, Operations Research Letters, IIE Transactions, and Interfaces. Previously he was an assistant professor in the Kelley School of Business at Indiana University, the chief algorithm design engineer of SmartOps, a software architect at Maxager Technology Inc., and a research scientist with Schlumberger. His undergraduate degree from IIT-Madras is in mechanical engineering, and he received an M.Sc. from Iowa State University and a Ph.D. from Carnegie Mellon University. Kay Giesecke (“ A Top-Down Approach to Multiname Credit ”) is assistant professor of management science and engineering at Stanford University. His research and teaching interests are in financial engineering. Lisa R. Goldberg (“ A Top-Down Approach to Multiname Credit ”) is executive director of analytic initiatives at MSCI Barra with responsibility for developing and prototyping financial risk and valuation models. Randolph W. Hall (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) is vice president of research, and professor of industrial and systems engineering, at the University of Southern California. After receiving a Ph.D. in civil engineering from the University of California, Berkeley, he has held research and faculty positions at General Motors, the University of California, Berkeley, and the University of Southern California, including dir

This volume, a tribute to the life and work of Carlos Castillo-Chavez on the occasion of his sixtieth birthday, stands for something greater than what can be presented in its pages. It is the man himself, who remains far above the words. The works collected here by people who know and admire Carlos are an attempt to convey some of his remarkable contributions and achievements. I first met Carlos in 2005 as part of a visit he made to the National Science Foundation. Carlos had established a tremendous reputation by that time, and as a young program officer I was extremely pleased to have the opportunity to make small talk with him. He spoke about his students with an unmistakable passion and earnestness, and I wondered if this might be the key ingredient to his success in mentoring young scientists. In the years that followed I was able to see that Carlos channels his vitality into a remarkable capacity for work. The emails he sent to me over the years typically arrived at some odd hour of the night, perhaps suggesting a follow-up phone call for early the next morning. I'd call Carlos upon my arrival in the office and find him fully energized with the work of the new day. The breadth of Carlos' impact is evident in the number of research and education communities that have honored and supported his work. At the National Science Foundation this includes programs spanning three Directorates: Mathematical and Physical Sciences, Biological Sciences, and Education and Human Resources. My interactions with Carlos came primarily in connection with his exceptional research programs for undergraduate and graduate students. His success in recruiting and mentoring underrepresented minorities in the mathematical sciences is almost without peer. The founding of the Mathematical and Theoretical Biology Institute in 1996 and its subsequent development are rightly celebrated as landmarks in STEM education. What is remarkable is that this lifetime of work is just a fraction of what Carlos has accomplished! His greatness lies in taking up the challenges that matter most. His most outstanding research contributions are grounded in stopping the spread of infectious diseases. His unparalleled mentoring of minority students is a reflection of his deep belief in the abundance of scientific talent. Carlos, we in the mathematical sciences community offer you our deepest gratitude. Your legacy as a researcher and educator is already secure and it continues to grow. The immortality of your impact is assured by the timelessness of your research, and through the many alumni of your programs who are now making important contributions of their own. Best wishes for many more years of success!

About the Authors

About the Authors

Se presentan los resultados obtenidos con una muestra de 704 profesores de los cuarenta posgrados de la Universidad Nacional Autónoma de México (UNAM), con la pregunta abierta ¿Considera usted que debería existir una materia de ética profesional para todo el alumnado? - ¿Con qué contenidos?. Las múltiples respuestas se organizaron con base en dos clasificaciones: tres grupos: "Respuestas no directamente ligadas con la ética profesional", "Valores vinculantes entre la ética general y la ética profesional" y "Respuestas directamente ligadas con la ética profesional" y las cuatro grandes áreas de conocimiento en que la UNAM clasifica sus posgrados: Ciencias Físico Matemáticas y de las Ingenierías, Ciencias Biológicas y de la Salud, Ciencias Sociales y Humanidades y de las Artes. La pregunta forma parte de un proyecto de investigación sobre ética profesional y de un cuestionario que incluye otras preguntas abiertas y cerradas y una escala de actitudes sobre ética profesional.

The authors of the article set themselves the task: to familiarize the mathematical community with the history of the citywide algebraic seminar in Tula, which became widely known in the USSR, and then in Russia. The seminar was held at the Tula State Lev Tolstoy PedagogicalUniversity. Scientists and postgraduates from many cities of the Soviet Union came to Tula to present their research at this seminar (Leningrad, Moscow, Ivanovo, Novosibirsk, Krasnodar, Rostov, etc.). The work of the seminar is associated with the name of M.D.Grindlinger. In the history of the Mathematical Faculty of Tula State Lev Tolstoy Pedagogical University, Doctor of Physical and Mathematical Sciences, Professor Martin Davidovich Grindlinger holds a special place. Many Tula students of M.D. Grindlinger successfully defended their PhD theses: A.E. Ustyan, A.A. Chebotar, V.A. Grinblat, V.N.Bezverkhnii, E.V. Rollov, Yu.A. Ignatov, B.P. Vankov, I.S.Bezverkhnyaya, A.I. Nekritsukhin In 1981, now Professor, Doctor of Physical and Mathematical Sciences N..M. Dobrovolskii enrolled in graduate school to M.D. Grindlinger, who headed the Tula Algebraic School, but nevertheless gave his new graduate student complete creative freedom, thanks to this, N.M. Dobrovolskii classes continued at a seminar with N.M. Korobov at Lomonosov Moscow State University, which played a huge role in the revival of the Tula School of Number Theory. The first of the students of the Tula Algebraic school of M.D.Grindlinger, V.G. Durnev, is a graduate of the faculty, defended his doctoral thesis in 1998, currently he works at Yaroslavl University, V.N. Bezverkhnii, a graduate of the faculty, became the second doctor in 1999. The third doctor was D.I. Moldovanskii (Ivano State University)I.V. Dobrynina (Moscow), D.N. Azarov and E.V. Sokolov (Ivanovo) defended their doctoral dissertations on the subject of the algebraic scientific school of Grindlinger The work of the algebraic seminar was then headed by the Doctor of Physical and Mathematical Sciences,Professor Vladimir Nikolaevich Bezverkhnii, a graduate of the faculty - a student of M.D. Grindlinger. This article continues the work of V.G.Durnev and other authors about some teachers who worked at the Faculty of Mathematics of the Tula State Lev Tolstoy PedagogicalInstitute. The main part of the note is the memoirs-reflections of teachers and students of that time period about the formation of an algebraic school in Tula in the last century on the basis of the Tolstoy Tula State Pedagogical Institute and about the role played in this process by the citywide algebraic seminar created by Professor Martin Davidovich Grindlinger. The role of Vladimir Nikolaevich Bezverkhnii is particularly noted. Under their leadership, many Tula students conducted scientific work, who later became candidates and doctors of physical and mathematical sciences. The article presents some of the results obtained by them and their students. This love of science and hard work can serve as an example for modern youth, especially for scientific youth.

About the Authors