902 resultados para CUNY-wide IT steering committee
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TOC: Life at LaGuardia…3/ LaGuardia At Work…11/College-Wide Activities…20/Mayor LaGuardia…26/Martin Luther King…28/Statue of Liberty…30/Activities and Trips…33/Recreation…52/Student Government and Clubs…56/Faculty and Staff…64/Letters to Graduates…83/Class ’85…87/Class ’86…115/Dedication to the Challenger…156/Boosters and Ads…158 Yearbook Committee: Project Director, VINCENT BANREY; Asst. Project Director, CATHY WHAN; Editor-in-Chief, MARGARET NEISS; Layout Editor, HORACIO OWENS; Asst. Layout Editor, MARICRUZ SAUNDERS; Copy Editor/Captain Editor, UMOJA KWANGUVU; Typesetter, EDWARD HOLLINS; Cover Artist, DAVID VAZQUEZ; End Sheets Photo, YOUNG BAEK CHOI; Finance Manager, GEORGE BERMUDEZ; Photographers: HORACIO OWENS, MARINA DIAZ, MARGARET NEISS, LORI GEORGE, RANDY FADER SMITH, UMOJA KWANGUVU, JUAN SEGARRA, PETER ABBATE, CLASSIC STUDIO; Production Staff: HORACIO OWENS, MARGARET NEISS, MARINA DIAZ, UMOJA KWANGUVU, MARICRUZ SAUNDERS, IRENE LEBRON, ARLENE BANREY, QUAALAN SAMUELS, MAYRA ALDONADO, CATHY WHAN, RAVI RAMDASS, GEORGE BERMUDEZ, BLANCA ARBITO, EDWARD HOLLINS, BRIDGET DAVIS; Feature Writers: YVONNE CANNON AND HARRIET ASCHOFF ("LaGuardia at Work"); GEORGE BERMUDEZ ("Mayor LaGuardia, A Civil Rights Political Leader"); SCOTT ENGEL ("Statue Of Liberty"); JEFFREY DAVIS ("Tribute to Ron Miller"); MARICRUZ SAUNDERS ("Challengers"); CASSANDRA WILLIAMS ("King: The Vision and the Fulfillment").
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This study presents an approach to combine uncertainties of the hydrological model outputs predicted from a number of machine learning models. The machine learning based uncertainty prediction approach is very useful for estimation of hydrological models' uncertainty in particular hydro-metrological situation in real-time application [1]. In this approach the hydrological model realizations from Monte Carlo simulations are used to build different machine learning uncertainty models to predict uncertainty (quantiles of pdf) of the a deterministic output from hydrological model . Uncertainty models are trained using antecedent precipitation and streamflows as inputs. The trained models are then employed to predict the model output uncertainty which is specific for the new input data. We used three machine learning models namely artificial neural networks, model tree, locally weighted regression to predict output uncertainties. These three models produce similar verification results, which can be improved by merging their outputs dynamically. We propose an approach to form a committee of the three models to combine their outputs. The approach is applied to estimate uncertainty of streamflows simulation from a conceptual hydrological model in the Brue catchment in UK and the Bagmati catchment in Nepal. The verification results show that merged output is better than an individual model output. [1] D. L. Shrestha, N. Kayastha, and D. P. Solomatine, and R. Price. Encapsulation of parameteric uncertainty statistics by various predictive machine learning models: MLUE method, Journal of Hydroinformatic, in press, 2013.
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Discrimination, in its best form, is a hard concept to fathom as an employee or ordinary citizen. In the workplace, there are times when discrimination is necessary due to extenuating circumstances that revolve around the form or act of discrimination. It could be conveyed to save a life or avoid future conflict. However, it must be clearly stated as a written law that the act is lawful. When unlawful discrimination occurs, it stages an entirely different tone, as it is mainly conducted out of malice, hatred, greed, control, or ignorance. Over the last few decades, discrimination has existed in the workplace, although Federal laws mandate that it does not occur. It does not exist in just one geographical area or is country specific, but covers a wide spectrum, linking countries together from their points of view to creating rifts amongst those who are affected and those who are not, not only from a business perspective, but social humanistic relationships as well. This thesis will use quantitative and qualitative data to support discrimination of sexual harassment, race or color, and gender issues, as well as personal experiences, and how it has and will continue to impact businesses if the acts do not cease, permanently. Leadership, from the Presidents and Heads of Countries, Chief Executive Officers (CEOs), managers, lowest-ranking supervisor, and employees should make it their personal goal to ensure these issues do not continue or arise in their perspective areas of responsibilities. When employees understand that they are valued, will be taken seriously when reporting acts of discrimination, and that some form of action will be taken, performance and productivity will escalate, and morale will increase in the workplace, resulting in higher productivity and subsequently higher profit margins for the company.
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Alma-Ata declaration bring the Primary Attention to the Health (PAH) as first level of health attention for individuals, family and community, which considers infant group as priority. Several initiatives that gave bases to integral attention to the children health formalized in the principles of Unique Health System. Family Health Strategy (FHS) comes to strengthen this attention, instituting new ways of work organization and professional practices that gave impact in their quality indicators. One of them is children mortality, showing decline in their values. Though, studies indicates persistence of avoidable infant deaths. In Natal RN, this reality is also perceptible leading to inquietudes, mainly at the space of services production, it means, which motivated the accomplishment of the present study intending to analyse the way that the organizational and structural processes as long as the professional practices in FHS interfered in the quality of children s health attention who died by avoidable death in the year of 2007 in municipal district of Natal-RN. It treats, therefore, to an exploratory and descriptive survey of cases study type, thar had as primary sources the oficial documents of MH, the family prontuary, pregnant card, child card and testimony obt ined from instrument of research elaborated based in investigation form of infant death by MH, applied to 10 mothers of children who had avoidable death. In analysis it was appealed silmultaneous triangulation of methods and sources, allowing a bigger aproximation from obtained informations. To elucidate the cases, the aspects studied were analyzed to the light of explicative model of Social Determinants of Health. Among individual and family aspects were highlighted the related to age, schooling, family habits and customs and mother s economic condition, besides of pregnancy age, newborn weight and associated diseases, which don t differ from literature about the theme. Reffering to the factors organizational and structural processes and professionals practice, highlihgted, the treatment given by the professionals, the territorialization and adscription of areas, the difficulty of having access to the services or sleepers and the reference and counterreference. But also, the ausence or few greet, the lack of communication, few assiduity and ponctuality by professionals in service, among others. In a general way mothers considers the attendance received in the hospital good and very good , opnions that in the Basic Attention weren t so favorable, in spite of many of predictible actions in this level have been performed in the studied cases. It is observed, therefore, that the social determinants of health has a strong influence in ocurrence of infant deaths, what implicates in a large actuation by Infant Mortality Committee from municipal district. This way, it becomes fundamental the reflection and evaluation about the effectiveness and execution by the processes of vigilance to health in FHUs; the rethink about the social determinants of health in a wide and articulate way to the services quality, to permanent education, to management in service, to the given attention and to the way how it is installed the popular participation and social control. To the professionals it is presented the great challenge to review their daily practice, their values, behaviors and commitment, which ones must be guided by logical of sharing, work in team, humanescence and alterity, not only by the accomplishment of a professional duty
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The present study aims to analyze the nurse s work process at Family Health Strategy, considering its basic elements and dynamic, and searching to identify aspects that may constitute strengths and weaknesses in its development. This is an analytical case study, with qualitative approach and theoretical-conceptual mark grounded in Dialectic Hermeneutics. Empirical research fields were the Family Health Units of Natal, RN, Brazil. The subjects are nurses working in this Strategy. Data collection was conducted through semi-structured individual interviews combined with field observation. The research was initiated after approval by the Ethics Committee of Universidade Federal do Rio Grande do Norte, according to the guidelines and rules for research involving humans (Resolution 466/12), ensuring proper ethical precepts. The project was approved by register number 398.929, CAAE 19588813.7.0000.5537. From the 9 interviewed nurses, 8 were female and 1 male, average age of 52 years, average graduation time of 27 years and average time they stayed at the same Family Health territory of 7 years. It was found that it is up to the professional nurse in the Family Health care the important role of taking care of human beings in their life, family and community contexts, producing conditions to meet their needs through therapeutic act in health, using for such purpose both materials and immaterial instruments. It was possible to relate aspects that characterize strengths and weaknesses in the work process of nurses in the ESF, according to the speech of the interviewed workers, including the meanings and contradictions. Among the potentialities observed, it was possible to highlight the wide role of the nurse at Family Health; the perception of nurses about teamwork; the relative autonomy of nurses; the commitment of professionals to work; Humanization as a technology; the presence of other agents at work, such as directors and officers at the primary health units; the professional s experience time and contract type in the case studied. As weaknesses in the work process of nurses at Family Health Strategy, were highlighted the limited skills of the workforce; the difficulty in 10 identifying specific limits of the work of nurses in this scenario; the disturbances that occur in the process, the existing gaps in multiprofessional teams; Structural deficits of the units in the studied case, the low coverage of the Family Health in the county, and the political vulnerability of the work conditions. It is considered necessary to understand the dilemmas experienced in everyday life of nurses at Family Health Strategy as part of multiprofessional teams, facing actual achievement of changes in work processes necessary for the reorientation of health care in Brazil. In accordance, it is necessary to promote proper working conditions and welfare of labor agents which are protagonists the work at the United Health System
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Background: The genome-wide identification of both morbid genes, i.e., those genes whose mutations cause hereditary human diseases, and druggable genes, i.e., genes coding for proteins whose modulation by small molecules elicits phenotypic effects, requires experimental approaches that are time-consuming and laborious. Thus, a computational approach which could accurately predict such genes on a genome-wide scale would be invaluable for accelerating the pace of discovery of causal relationships between genes and diseases as well as the determination of druggability of gene products.Results: In this paper we propose a machine learning-based computational approach to predict morbid and druggable genes on a genome-wide scale. For this purpose, we constructed a decision tree-based meta-classifier and trained it on datasets containing, for each morbid and druggable gene, network topological features, tissue expression profile and subcellular localization data as learning attributes. This meta-classifier correctly recovered 65% of known morbid genes with a precision of 66% and correctly recovered 78% of known druggable genes with a precision of 75%. It was than used to assign morbidity and druggability scores to genes not known to be morbid and druggable and we showed a good match between these scores and literature data. Finally, we generated decision trees by training the J48 algorithm on the morbidity and druggability datasets to discover cellular rules for morbidity and druggability and, among the rules, we found that the number of regulating transcription factors and plasma membrane localization are the most important factors to morbidity and druggability, respectively.Conclusions: We were able to demonstrate that network topological features along with tissue expression profile and subcellular localization can reliably predict human morbid and druggable genes on a genome-wide scale. Moreover, by constructing decision trees based on these data, we could discover cellular rules governing morbidity and druggability.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The main objective of this paper is to make a prospective analysis about the tendencies of the world wide strategies of commercial vehicles development, in relation of the current local and international scenery. It has been done a research by using the Delphi method, which consists into regulate, systematically, the presentation of questions about a specified problem to a group of specialists. In order to guarantee more representative data, it has been adopted three distinct groups: academics, OEMs managers and Tier 1 suppliers managers. The results showed that the three mentioned groups have similar opinion about the necessity of having a product development in the subsidiaries companies; also it has been pointed the necessity of having more taylor made vehicles, due to the intrinsic characteristics of this industry segment. Copyright © 2008 SAE International.
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Spanish version avalilable at the Library
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In this work the electronic structure of undoped AlGaAs/GaAs wide parabolic quantum wells (PQWs) with different well widths (1000 and 3000 ) were investigated by means of photoluminescence (PL) measurements. Due to the particular potential shape, the sample structure confines photocreated carriers with almost three-dimensional characteristics. Our data show that depending on the well width thickness it is possible to observe very narrow structures in the PL spectra, which were ascribed to emissions associated to the recombination of confined 1s-excitons of the parabolic potential wells. From our measurements, the exciton binding energies (of a few meV) were estimated. Besides the exciton emission, we have also observed PL emissions associated to electrons in the excited subbands of the PQWs. © 2010 IOP Publishing Ltd.
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Includes Bibliography
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A current trend in the agricultural area is the development of mobile robots and autonomous vehicles for precision agriculture (PA). One of the major challenges in the design of these robots is the development of the electronic architecture for the control of the devices. In a joint project among research institutions and a private company in Brazil a multifunctional robotic platform for information acquisition in PA is being designed. This platform has as main characteristics four-wheel propulsion and independent steering, adjustable width, span of 1,80m in height, diesel engine, hydraulic system, and a CAN-based networked control system (NCS). This paper presents a NCS solution for the platform guidance by the four-wheel hydraulic steering distributed control. The control strategy, centered on the robot manipulators control theory, is based on the difference between the desired and actual position and considering the angular speed of the wheels. The results demonstrate that the NCS was simple and efficient, providing suitable steering performance for the platform guidance. Even though the simplicity of the NCS solution developed, it also overcame some verified control challenges in the robot guidance system design such as the hydraulic system delay, nonlinearities in the steering actuators, and inertia in the steering system due the friction of different terrains. Copyright © 2012 Eduardo Pacincia Godoy et al.
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Introduction The social agenda is long-term in nature, in the sense that poverty alleviation along with a better distribution of income, wealth and opportunities are long-term goals. A sound macroeconomic policy, on the other hand, has to do largely with the consistent management of short-term policy instruments pursuing a sustainable and predictable pace for aggregate economic variables and major prices (wages, inflation, interest rates and exchange rates). In spite of the different arena and rationale in which they play, there are strong links between the two. First and most obvious, macroeconomic adjustment and structural reform are more likely to be sustainable when they are equitable. Second, social intervention —i.e., policies, programmes and reforms aimed at improving social performance in the long run—, needs stable funding which is not always available in view of macroeconomic constraints. Third, macroeconomic instability —especially episodes of recession or hyperinflation— increases poverty and inequality, while restoring macroeconomic equilibrium does not restore previous social balances. Finally, there is no unique macroeconomic policy mix to tackle a given situation, and the policy options may not be neutral from a social standpoint. Monetary, fiscal and exchange rate policies, together with structural reform, have major consequences for the social wellbeing of societies, not only in terms of protection against shocks and crises but also in terms of equity. Many, if not all, of the necessary social policies are of a domestic nature. This report thus concentrates on domestic strategies aimed at maximizing the linkages between consistent macroeconomic policies and social progress. Pursuing them, however, depends to a considerable extent on the international enabling environment in which the global financial system, the unsettled debt crisis and increasing ODA flows play a significant role. Countries operate in a world economy where market players everywhere immediately scrutinize domestic monetary, financial or fiscal policy decisions and the performance of exchange rate regimes of individual countries. Under these conditions, the room for manoeuvre of policymakers has become considerably constrained. Consequently, it is becoming increasingly complex to incorporate the social dimensions into such policy decisions, to the extent that external analysts consider that authorities are sacrificing sound macroeconomic policies. The main message of the report is that the expediency of short-term economic efficiency as embedded in much of the advice on macroeconomic stability needs to be tempered by long-term development objectives. The report starts with a short historical background which describes the ascendancy of macroeconomic policies over social development policies (chapter I). It continues with an evaluation of the relation between macroeconomic consistency and social effort (chapter II), and the importance of sustainable and stable growth for social progress (chapter III). The report then turns to the need for an equity-enhancing growth strategy (chapter IV) and an analysis of the priorities of social policies in an integrated approach to growth (chapter V). The final chapter adds some final institutional remarks.
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As the methodologies available for the detection of positive selection from genomic data vary in terms of assumptions and execution, weak correlations are expected among them. However, if there is any given signal that is consistently supported across different methodologies, it is strong evidence that the locus has been under past selection. In this paper, a straightforward frequentist approach based on the Stouffer Method to combine P-values across different tests for evidence of recent positive selection in common variations, as well as strategies for extracting biological information from the detected signals, were described and applied to high density single nucleotide polymorphism (SNP) data generated from dairy and beef cattle (taurine and indicine). The ancestral Bovinae allele state of over 440,000 SNP is also reported. Using this combination of methods, highly significant (P<3.17×10-7) population-specific sweeps pointing out to candidate genes and pathways that may be involved in beef and dairy production were identified. The most significant signal was found in the Cornichon homolog 3 gene (CNIH3) in Brown Swiss (P = 3.82×10-12), and may be involved in the regulation of pre-ovulatory luteinizing hormone surge. Other putative pathways under selection are the glucolysis/gluconeogenesis, transcription machinery and chemokine/cytokine activity in Angus; calpain-calpastatin system and ribosome biogenesis in Brown Swiss; and gangliosides deposition in milk fat globules in Gyr. The composite method, combined with the strategies applied to retrieve functional information, may be a useful tool for surveying genome-wide selective sweeps and providing insights in to the source of selection.