nils-herrmann/clean_scirepeval huggingface dataset:
O uso do Business Intelligence (BI) em sistema de apoio a tomada de decisao estrategica
Year: 2016

As transformacoes no mundo competitivo promoveram mudancas organizacionais, exigindo a inovacao de produtos e negocios. Com isso, a tecnologia da informacao se tornou aliada estrategica das organizacoes na forma de gerenciar os negocios. Este artigo relata o resultado da pesquisa bibliografica com base nos dez ultimos anos, de 2006 a 2015 nas bases Scopus e Scielo, alem das pesquisas realizadas em sites de revistas e congressos nacionais e internacionais. A pesquisa tem como objetivo central abordar a importancia da adocao do BI como uma ferramenta de apoio a tomada de decisao. Dentre os objetivos e resultados apresentados estao os beneficios do "business intelligence" (BI) e as fases de implementacao de um sistema BI. O artigo ressalta os resultados da pesquisa e da conclusao, tal como a necessidade do processamento de informacoes corretas e alinhadas aos objetivos estrategicos, pois a qualidade destas informacoes tem um papel fundamental para a determinacao de cenarios que possam auxiliar o processo de tomada de decisao e consequentemente promover inteligencia e vantagem competitiva, agregando valor ao negocio e a organizacao. Sao apresentadas as fases da implementacao do BI.
Evaluation de la balance benefice risque de la vaccination anti rotavirus en France
Year: 2017

Sous la direction de P. Tubert Bitter. Laboratoire d'accueil Inserm UMR 1153, centre de recherche epidemiologie et statistique Paris Sorbonne Cite (CRESS) equipe epidemiologie obstetricale, perinatale et pediatrique (EPOPe) Paris, France DHU risques et grossesse, universite Paris Descartes, Paris, France.  Les gastro enterites a rotavirus (GEA RV) sont responsables en France d'environ 14 000 hospitalisations annuelles d'enfants ages de moins de 5 ans et d'un nombre de deces estime entre 7 a 17 par an. Deux vaccins (Rotarix(r) et Rotateq(r) sont disponibles sur le marche francais depuis 2006. Ils ne sont pas recommandes par le Haut Conseil de la sante publique depuis un avis emis en avril 2015 en raison d'un exces de risque de survenue d'invaginations intestinales aigues (IIA) post vaccination, et ce, malgre leur impact benefique y compris dans les pays industrialises. L'objectif de cette etude est d'estimer la balance benefice risque de la vaccination anti rotavirus en France. Methode Le benefice correspond aux hospitalisations et deces par GEA RV evites par la vaccination, et le risque aux hospitalisations et deces par IIA provoquees par cette vaccination. Leurs calculs necessitent de connaitre l'age auquel sont administrees les doses, mais aussi, pour le benefice, l'efficacite du vaccin et l'incidence de base des GEA RV en fonction de l'age, et pour le risque, le risque d'IIA induit par le vaccin et l'incidence de base des IIA en fonction de l'age. Ces informations sont obtenues a partir d'une revue fouillee de la litterature francaise ou internationale, et l'utilisation de donnees hospitalieres. L'analyse est basee sur la realisation de 20 000 simulations generees a partir des distributions des parametres d'entree, ce qui permet d'obtenir des estimations du benefice, du risque et du ratio benefice/risque mais aussi de l'incertitude a 95 de ces quantites. Resultats Compte tenu du faible taux de couverture vaccinale en France (9,5 on estime que la vaccination anti rotavirus previent 1074 (810 1378) hospitalisations pour GEA RV et 1,4 (1,2 1,6) deces par GEA RV chez les enfants ages de moins de 5 ans en France et qu'elle provoque annuellement 5,0 (3,2 7,7) hospitalisations pour IIA et 0,0051 deces (0,0011 0,015) Nous avons estime que 214 (128 362) hospitalisations pour GEA RV sont evitees par la vaccination pour chaque hospitalisation additionnelle pour IIA induite par le vaccin, et 273 (89 1228) deces par GEA RV evitees par la vaccination pour chaque deces additionnel des suites d'une IIA induite par le vaccin.  L'evaluation du ratio benefice risque de la vaccination anti rotavirus en France est similaire a celle realisee dans d'autres pays europeens.
Integration between Measurements and Particle Simulations for Hypersonic Rarefied Flows
Year: 2014

The hypersonic rarefied wind tunnel has lately been developed at JAXA. The characteristics of hypersonic rarefied flows have been investigated experimentally and numerically in this work. Using a sphere pendulous model, the test flow has been probed by measuring its displacement due to the aerodynamic force. In addition, a spatial variation of total pressure of the test flow has also been measured by using total pressure tubes. The flow field from a conical nozzle to a test section was simulated by computational fluid dynamics/direct simulation Monte Carlo loosely coupled computations, and the flow fields were deduced by integrating experimental and numerical results. Consequently, a 25 mm hypersonic rarefied core flow was obtained using a 45 degree conical nozzle with a Mach number greater than 10 and a Knudsen number greater than 0.1.
Coaches' perceptions of French sports clubs: Health promotion activities, aims and coach motivation
Year: 2015

Given the benefits of participating in sport, sports clubs have been recognised as health promoting organizations. To examine health promotion activities in Finnish sports clubs, Kokko et al. developed a set of standards for health promoting sports clubs (HPSC)  The present study extends this line of research, by (1) measuring coaches' perceptions of health promotion activities in French sports clubs and comparing them to earlier Finnish results, (2) measuring coaches' perceptions of the health promotion aims of sports clubs and (3) examining the links between HPSC and coaches' self determined motivation.  Coaches (N 125) completed a modified version of the HPSC questionnaire and a scale assessing their motivation to coach.  Coaches perceived French and Finnish sports clubs as fairly health promoting, but with wide variability between clubs. In both countries, sports clubs scores showed the same patterns: high scores for ideology and environment activities, and low scores for policies, practices and partnership. Coaches' perceptions of clubs' aims also followed the same pattern, but with higher scores for each dimension, meaning that coaches considered health promotion as a relevant aim for sports clubs. Finally, controlling for demographic variables, the HPSC index and sub indices were related to coaches' self determined motivation.  This study strengthens the previous findings for health promotion in the setting of sports clubs and the positive role of these activities on coaches' motivation to coach.
Knowledge for Sale: The Neoliberal Takeover of Higher Education
Year: 2018

nity from empirical verification allow myths to be ideologically appropriated by different actors for strategic purposes. The American myth of civic individualism was, for instance, important in the struggle for gay rights. The myth of individual rights, so deeply ingrained in the American ethos since the establishment of the republic, is currently used by both pro life and pro choice activists. An issue worth pursuing would be the extent to which we really believe our myths. Sometimes a myth takes the form of an official discourse to which we have to pay lip service in public while contradicting it in private as a matter of course. Whether (or the extent to which) this discrepancy between public affirmation and private contradiction is experienced as a problem is an empirical issue. An example is the myth of French resistance during the Second World War. The official position on the matter, one that was voiced by all kinds of social actors, for a long time was that most French people not only refused to collaborate with the Nazis but also actively resisted them. In private, many French people were far more skeptical; they knew that actual resistance was far more limited. Still, it was largely understood that one had to pretend as if the myth, so central to French identity, were real. Of course, this pretense could have changed some private disagreements with it, but many French people were fine with the discrepancy between public statements and their private beliefs about the resistance. And the matter was not simply one of pluralistic ignorance. Collaboration or impassivity during the war was common knowledge or at least common belief among many people. Nevertheless, in public the French or at least most of them subscribed to the myth for a long time. Bouchard ends the book writing, 'There are no societies without myths; there are only societies that ignore them' (p. 132) This reader was convinced. Knowledge for Sale: The Neoliberal Takeover of Higher Education, by Lawrence Busch. Cambridge, MA: MIT Press, 2017. 155 pp. $24.95 cloth.
Crowd of Oz: A Crowd Powered Social Robotics System for Stress Management
Venue: Sensors
Year: 2020

Coping with stress is crucial for a healthy lifestyle. In the past, a great deal of research has been conducted to use socially assistive robots as a therapy to alleviate stress and anxiety related problems. However, building a fully autonomous social robot which can deliver psycho therapeutic solutions is a very challenging endeavor due to limitations in artificial intelligence (AI) To overcome AI's limitations, researchers have previously introduced crowdsourcing based teleoperation methods, which summon the crowd's input to control a robot's functions. However, in the context of robotics, such methods have only been used to support the object manipulation, navigational, and training tasks. It is not yet known how to leverage real time crowdsourcing (RTC) to process complex therapeutic conversational tasks for social robotics. To fill this gap, we developed Crowd of Oz (CoZ) an open source system that allows Softbank's Pepper robot to support such conversational tasks. To demonstrate the potential implications of this crowd powered approach, we investigated how effectively, crowd workers recruited in real time can teleoperate the robot's speech, in situations when the robot needs to act as a life coach. We systematically varied the number of workers who simultaneously handle the speech of the robot (N 1, 2, 4, 8) and investigated the concomitant effects for enabling RTC for social robotics. Additionally, we present Pavilion, a novel and open source algorithm for managing the workers' queue so that a required number of workers are engaged or waiting. Based on our findings, we discuss salient parameters that such crowd powered systems must adhere to, so as to enhance their performance in response latency and dialogue quality.
Two Probabilistic Models for Quick Dissimilarity Detection of Big Binary Data
Year: 2021

The task of data matching arises frequently in many aspects of science. It can become a time consuming process when the data is being matched to a huge database consisting of thousands of possible candidates, and the goal is to find the best match. It can be even more time consuming if the data are big 100 MB) One approach to reducing the time complexity of the matching process is to reduce the search space by introducing a pre matching stage, where very dissimilar data are quickly removed. In this paper we focus our attention to matching big binary data. In this paper we present two probabilistic models for the quick dissimilarity detection of big binary data: the Probabilistic Model for Quick Dissimilarity Detection of Binary vectors (PMQDD) and the Inverse equality Probabilistic Model for Quick Dissimilarity Detection of Binary vectors (IPMQDD) Dissimilarity detection between binary vectors can be accomplished quickly by random element mapping. The detection technique is not a function of data size and hence dissimilarity detection is performed quickly. We treat binary data as binary vectors, and hence any binary data of any size and dimension is treated as a binary vector. PMQDD is based on a binary similarity distance that does not recognize data and its exact inverse as containing the same pattern and hence considers them to be different. However, in some applications a specific data and its inverse, are regarded as the same pattern, and thus should be identified as being the same; IPMQDD is able to identify such cases, as it is based on a similarity distance that does not distinguish between data and its inverse instance as being dissimilar. We present a comparative analysis between PMQDD and IPMQDD, as well as their similarity distances. We present an application of the models to a set of object models, that show the effectiveness and power of these models.  Big data, binary data, binary vector, matching, size invariance, probabilistic model, dissimilarity detection, pattern recognition, model matching Received: March 27, 2021.  April 30, 2021.  May 6, 2021.  May 19, 2021.
A Quick Knapsack Heuristic Solution for Pharmaceutical R&D Pipeline Management Problems
Year: 2014

The paper presents a novel knapsack decomposition algorithm for solving multistage stochastic programs (MSSPs) with endogenous uncertainty, specifically focusing on pharmaceutical R&D pipeline management problem. The algorithm decomposes the MSSP into a series of knapsack problems, which are created and solved at key decision points on a rolling horizon fashion. Based on the results of the five case studies, the algorithm generates implementable solutions with several orders of magnitude decrease in the CPU times required to solve the rigorous MSSP.
T Cells Expressing Anti B Cell Maturation Antigen Chimeric Antigen Receptors for Plasma Cell Malignancies
Year: 2018

Chimeric antigen receptor (CAR) modified T cells targeting B cell maturation antigen (BCMA) have shown activity in a case series of patients with relapsed or refractory Multiple Myeloma (MM) but feasibility, toxicity, and response rates of consecutively enrolled patients treated with a consistent regimen and assessed on an intention to treat basis have not been reported. We aimed to define the duration of disease, number of treatment lines, treatment course, extramedullary plasma cell tumor, hematopoietic stem cell transplantation, FISH abnormal gene number, risk (combined FISH and second generation sequencing analysis) ,feasibility, toxicity, maximum tolerated dose, response rate, and biological correlates of response in patients with malignant plasma cell disease treated with BCMA CAR T cells.   Between March 10, 2017, and March 27, 2018, 28 patients (including 26 patients with relapsed or refractory MM, 1 patient with Plasma cell leukemia and 1 patient with POEMS) were enrolled and infused with BCMA CAR T cells. The CAR BCMA chimeric antigen receptor was encoded by the lentiviral vector and contained a murine anti BCMA single chain variable fragment, a CD8a hinge, the CD28 transmembrane regions and intracellular domain and CD3 z T cell activation domain. Peripheral blood mononuclear cells were collected from the patient by leukapheresis, and whole peripheral blood mononuclear cells were cultured and transduced. Patients received a target dose of 5.4 25.0x106 anti BCMA CAR T cells per kilogram of body weight after a conditioning chemotherapy regimen of cyclophosphamide and fludarabine. MM response assessment was conducted according to the International Uniform Response Criteria for MM. Cytokine release syndrome (CRS) was graded as Lee DW et al. described (Current concepts in the diagnosis and management of cytokine release syndrome. Blood. 2014;124(2):188 195.  Twenty six of 28 treated patients obtained remission. According to the expression rate of BCMA on the surface of plasma cells, all patients were divided into BCMA strong expression group (22 cases, BCMA expression rate 50% and BCMA weak expression group (6 cases, BCMA expression rate  BCMA CAR T cell therapy is feasible, safe, and mediates potent anti tumor activity in relapsed/refractory Multiple Myeloma. All toxicities were reversible Our results should encourage additional development of CAR T cell therapies for other plasma cell malignancies such as plasma cell leukemia and POEMS. Disclosures No relevant conflicts of interest to declare.
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Venue: CVPR
Year: 2021

We present a learning based method for synthesizing novel views of complex outdoor scenes using only unstructured collections of in the wild photographs. We build on neural radiance fields (NeRF) which uses the weights of a multilayer perceptron to implicitly model the volumetric density and color of a scene. While NeRF works well on images of static subjects captured under controlled settings, it is incapable of modeling many ubiquitous, real world phenomena in uncontrolled images, such as variable illumination or transient occluders. In this work, we introduce a series of extensions to NeRF to address these issues, thereby allowing for accurate reconstructions from unstructured image collections taken from the internet. We apply our system, which we dub NeRF W, to internet photo collections of famous landmarks, thereby producing photorealistic, spatially consistent scene representations despite unknown and confounding factors, resulting in significant improvement over the state of the art.
The Internet marketing strategy of French wine producers from Languedoc Roussillon region
Year: 2008

The structural changes in the global wine markets have created new challenges and opportunities for small wine producers. Forced to adopt an innovative marketing approach which offers enhanced consumer experience and value, many producers have implemented a combination of direct distribution, relationship marketing and wine tourism in order to develop a positive brand reputation and to become quality niche leaders. The development of the Internet has provided an unique possibility to combine and integrate these modern marketing techniques in a complex value proposition. Using this framework of analysis, this study attempts to identify and discuss the features used in the web sites of the French wine producers from the Languedoc Roussillon region in order to improve the efficiency of combined marketing techniques. Based on the primary data collected through the survey of 102 web sites, the paper analyses the online marketing approach adopted by the small French wine producers, and proposes a synthetic model of value co creation which integrates the complex interaction between the producer and the customer in the online environment.
Dockless E scooter usage patterns and urban built Environments: A comparison study of Austin, TX, and Minneapolis, MN
Year: 2020

In recent years, the popularization of dockless shared electric scooters (e scooters) across many American cities has provided a great opportunity to reduce short distance automobile trips. However, there is not enough research that examines e scooter usage patterns and their association with the urban environment. Moreover, the question of whether this association would vary across different cities also remains unanswered. To bridge these gaps, this study investigated e scooter ridership in Austin and Minneapolis using GIS hotspot spatial analysis and negative binomial regression models. The spatial analysis results showed that the densest e scooter usage happened in downtown areas and university campuses in both cities. However, the temporal characteristics of the two cities' e scooter usage patterns turned out to be different: in Austin, afternoons, and weekends experienced greater e scooter traffic, whereas Minneapolis showed larger evening ridership and stable daily vehicle miles traveled throughout the week. Finally, regression results showed that proximity to the city center, better access to transit, and greater land use diversity positively correlated with higher e scooter ridership in both cities. Compared to single family residential areas, office and institutional land use were more likely to relate to higher ridership in both cities. Curiously, the statistically positive relationship with commercial areas and parks only existed in Austin. This study contributes to transportation literature and practice by providing empirical evidence on e scooter trips in the U.S. cities and by highlighting the importance of local uniqueness by comparing two cities.
Scaling learning algorithms towards AI
Year: 2007

One long term goal of machine learning research is to produce methods that are applicable to highly complex tasks, such as perception (vision, audition) reasoning, intelligent control, and other artificially intelligent behaviors. We argue that in order to progress toward this goal, the Machine Learning community must endeavor to discover algorithms that can learn highly complex functions, with minimal need for prior knowledge, and with minimal human intervention. We present mathematical and empirical evidence suggesting that many popular approaches to non parametric learning, particularly kernel methods, are fundamentally limited in their ability to learn complex high dimensional functions. Our analysis focuses on two problems. First, kernel machines are shallow architectures, in which one large layer of simple template matchers is followed by a single layer of trainable coefficients. We argue that shallow architectures can be very inefficient in terms of required number of computational elements and examples. Second, we analyze a limitation of kernel machines with a local kernel, linked to the curse of dimensionality, that applies to supervised, unsupervised (manifold learning) and semi supervised kernel machines. Using empirical results on invariant image recognition tasks, kernel methods are compared with deep architectures, in which lower level features or concepts are progressively combined into more abstract and higher level representations. We argue that deep architectures have the potential to generalize in non local ways, i.e. beyond immediate neighbors, and that this is crucial in order to make progress on the kind of complex tasks required for artificial intelligence.
The introduction of the newest biotechnologies is necessary for sustainable agricultural development and needs the sufficient investments
Year: 2013

Authors of the analytical report <World Agriculture Towards 2030/2050> made conclusion that growing global demand for food cannot be satisfied if the agricultural production in the world does not increase by 60% for the next 40 years (Alexandratos and Bruinsma, 2012) This could be achieved only by increase the plants productivity, not at the expense of expansion farms land, because to 2050 area of world lands will grow on 5% World population growth and reduction of the world area planted with wheat has alerted governments of G20, which adopted "The International Research Initiative for Wheat Improvement" Wheat biotechnology rapidly evolves throughout the world. In 2009 three major wheat exporting countries have signed the declaration to speed up the commercialization of GM wheat. In this article we evaluated the genetic engineering achievements, and their usage for increasing profitability of wheat.
Nick as an Unreliable Narrator Modernism and Fitzgerald s The Great Gatsby The Modernist Element of The Unreliable Narrator
Year: 2010

Fitzgerald introduces Nick Carraway to the reader through an internal monologue, in which Nick explains how he came to be involved with Jay Gatsby. During this rumination, Nick states that he is "inclined to reserve all judgments." However, his statement is quickly proven false as he immediately begins to relate his strange fascination with Jay Gatsby, despite Gatsby representing everything for which Nick had "unaffected scorn."