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The President of Harvard University is the chief administrator of the university and the ex officio chairman of the Harvard Corporation. Each is appointed by and is responsible to the other members of that body, who delegate to him or her the day-to-day running of the university. The current incumbent is Drew Gilpin Faust, formerly the dean of Harvard's Radcliffe Institute for Advanced Study.Harvard is a famously decentralized university, noted for the "every tub on its own bottom" independence of its various constituent faculties. They set their own academic standards and manage their own budgets. The president, however, plays an important part in university-wide planning and strategy. Each names a faculty's dean , and grants tenure to recommended professors; however, he or she is expected to make such decisions after extensive consultation with faculty members.Traditionally, as the leader of one of the United States' most prominent universities, Harvard presidents have influenced educational practices nationwide. Charles W. Eliot, for example, originated America's familiar system of a smorgasbord of elective courses available to each student; James B. Conant worked to introduce standardized testing; Derek Bok and Neil L. Rudenstine argued for the continued importance of diversity in higher education.Recently, however, the job has become increasingly administrative, especially as the president has become increasingly responsible for conducting fund-raising campaigns. Some have criticized this trend to the extent it has prevented the president from focusing on substantive issues in higher education.Each president is a qualified academic professor in some department of the university and will, on occasion, teach courses. Wikipedia.

Sitompul E.,President University
Proceedings - 2014 6th International Conference on Information Technology and Electrical Engineering: Leveraging Research and Technology Through University-Industry Collaboration, ICITEE 2014 | Year: 2015

A new neural network structure for adaptive modeling of dynamic system is presented in this paper. Based on multi-layer perceptron (MLP), the network possesses parameter expansion and external recurrence. Parameter expansion is obtained by using tapped delay lines (TDLs) to the outputs of the hidden layer. This increases the number of parameters between the hidden layer and the output layer. Furthermore, external recurrence is obtained by connecting the output and the input of the network. Proper learning algorithm is derived to accommodate the aforementioned modifications. Afterwards, the network is integrated in an adaptive scheme so that it can model systems with changing property or operating condition. The application in modeling of a water tank system demonstrates the ability of the proposed scheme. © 2014 IEEE.

Dzyuzer V.Ya.,President University
Glass and Ceramics (English translation of Steklo i Keramika) | Year: 2012

Methods for increasing the heat efficiency of commercial glassmaking are examined for the example of an analysis of the heat-balance in glass furnaces with a horseshoe flame. It is shown that it is possible to develop container-glass furnaces with world-class energy efficiency. © 2012 Springer Science+Business Media, Inc.

Shtennikov V.N.,President University
Journal of Engineering Physics and Thermophysics | Year: 2015

We have analyzed the possibilities of optimizing the technological processes of convection, wave, and laser soldering by comparing experimental data with the results of mathematical modeling. © 2015 Springer Science+Business Media New York

Kuehn K.A.,University of Southern Mississippi | Francoeur S.N.,Eastern Michigan University | Findlay R.H.,University of Alabama | Neely R.K.,Eastern Michigan University | Neely R.K.,President University
Ecology | Year: 2014

Microbial communities associated with submerged detritus in aquatic ecosystems often comprise a diverse mixture of autotrophic and heterotrophic microbes, including algae, bacteria, protozoa, and fungi. Recent studies have documented increased rates of plant litter mass loss when periphytic algae are present. We conducted laboratory and field experiments to assess potential metabolic interactions between natural autotrophic and heterotrophic microbial communities inhabiting submerged decaying plant litter of Typha angustifolia and Schoenoplectus acutus. In the field, submerged plant litter was either exposed to natural sunlight or placed under experimental canopies that manipulated light availability and growth of periphytic algae. Litter was collected and returned to the laboratory, where algal photosynthesis was manipulated (light/dark incubation), while rates of bacterial and fungal growth and productivity were simultaneously quantified. Bacteria and fungi were rapidly stimulated by exposure to light, thus establishing the potential for algal priming of microbial heterotrophic decay activities. Experimental incubations of decaying litter with 14C- and 13C-bicarbonate established that inorganic C fixed by algal photosynthesis was rapidly transferred to and assimilated by heterotrophic microbial decomposers. Periphytic algal stimulation of microbial heterotrophs, especially fungal decomposers, is an important and largely unrecognized interaction within the detrital microbial landscape, which may transform our current conceptual understanding of microbial secondary production and organic matter decomposition in aquatic ecosystems. © 2014 by the Ecological Society of America.

Bendraou R.,University Pierre and Marie Curie | Jezequel J.-M.,French Institute for Research in Computer Science and Automation | Gervais M.-P.,President University | Blanc X.,University Pierre and Marie Curie
IEEE Transactions on Software Engineering | Year: 2010

Describing and managing activities, resources, and constraints of software development processes is a challenging goal for many organizations. A first generation of Software Process Modeling Languages (SPMLs) appeared in the 1990s but failed to gain broad industrial support. Recently, however, a second generation of SPMLs has appeared, leveraging the strong industrial interest for modeling languages such as UML. In this paper, we propose a comparison of these UML-based SPMLs. While not exhaustive, this comparison concentrates on SPMLs most representative of the various alternative approaches, ranging from UML-based framework specializations to full-blown executable metamodeling approaches. To support the comparison of these various approaches, we propose a frame gathering a set of requirements for process modeling, such as semantic richness, modularity, executability, conformity to the UML standard, and formality. Beyond discussing the relative merits of these approaches, we also evaluate the overall suitability of these UML-based SPMLs for software process modeling. Finally, we discuss the impact of these approaches on the current state of the practice, and conclude with lessons we have learned in doing this comparison. © 2010 IEEE.

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