nils-herrmann/clean_scirepeval huggingface dataset:
Neoliberalismo y liberalismo: la libertad como problema de gobierno
Year: 2017

espanol?Que hay efectivamente de "nuevo" en el neoliberalismo? Esta pregunta nos lleva a revisar algunas de las visiones mas comunes en las humanidades y en las ciencias sociales, sobre todo aquellas que conciben al neoliberalismo como una vuelta hacia las ideas liberales abandonadas durante la crisis de los anos '30. Segun sostendremos en este articulo, el liberalismo y el neoliberalismo son tan distintos como los problemas historicos a los cuales intentan dar respuesta. Lo que aqui entra en juego es la "libertad" como problema de gobierno. Mientras que el liberalismo gobierna mediante la formula del laissez faire, el neoliberalismo plantea en cambio una modalidad de gobierno basada en la promocion de la "libertad de emprendimiento" Se trata de dos formas de libertad que surgen en momentos historicos especificos y que tienen ademas sus propios alcances y efectos. Las criticas contemporaneas deben considerar esa importante diferencia, concibiendo al neoliberalismo no como una regresion a los viejos dogmas del liberalismo, sino mas bien como una nueva manera de gobernar nuestras libertades EnglishWhat is there exactly new in the neoliberalism? This question leads us to review some of the most common visions in the humanities and social sciences, especially those that conceive neoliberalism as a return to the liberal ideas abandoned with the crisis of the 1930s. We say in this article that liberalism and neoliberalism are as different as the historical problems to which they try to answer. What comes into play here is "freedom" as a problem of government. Liberalism governs through the way of laissez faire; in contrast, neoliberalism poses a way of government based on the promotion of the "freedom of entrepreneurship" There are two forms of freedom that arise in specific historical moments and also have their own scope and effects. The contemporary criticism should consider that important difference, conceiving neoliberalism not as a regression to the old dogmas of liberalism, but rather as a new way of governing our freedoms
Base Revision for Ontology Debugging
Venue: J. Log. Comput.
Year: 2009

Belief Revision deals with the problem of adding new information to a knowledge base in a consistent way. Ontology Debugging, on the other hand, aims to find the axioms in a terminological knowledge base which caused the base to become inconsistent. In this article, we propose a belief revision approach in order to find and repair inconsistencies in ontologies represented in some description logic (DL) As the usual belief revision operators cannot be directly applied to DLs, we propose new operators that can be used with more general logics and show that, in particular, they can be applied to the logics underlying OWL DL and Lite.
Management slows down invasion by non native plants but does not prevent community change over 35 years in urban forests of the Midwestern USA
Venue: Forest Ecology and Management
Year: 2019

Urban forests are threatened by land cover change and invasive species but little is known about how they are changing over time. Furthermore, although management is sometimes used to maintain native communities, we have little information about the long term outcomes of forest management actions. In this study, we examined current status and long term changes in 35 urban forest plots in DuPage County, Illinois (USA) From 1979 to 2014, in five year intervals, presence/absence of all woody species was recorded in the plots. Environmental conditions in and surrounding the plots were measured in the field or with GIS. With these data, we analyzed trends and changes in the community, looked for evidence of biotic homogenization, and examined drivers of non native species. We found a significant change in community composition over time but no evidence of biotic homogenization in either managed or unmanaged plots. There was a significant increase in non native species richness over time but no change in richness of other species groups. Vegetation management such as fire prescription and clearing seemed to somewhat decrease the number of non native species, but did not increase the number of more desirable species. Distance to agriculture and deer control frequency determined the variation in both non native species abundance and richness. Overall, we conclude that the management activities were able to slow down the spread of some undesirable species but did not prevent their increase over time. More consistent management, as well as collaboration with stakeholders outside the forest preserves, is likely needed to maintain native communities.
Using Carl Rogers' person centered model to explain interpersonal relationships at a school of nursing.
Venue: Journal of professional nursing official journal of the American Association of Colleges of Nursing
Year: 2015

Faculty members are viewed as nurturers within the academic setting and may be able to influence students' behaviors through the formation of positive interpersonal relationships. Faculty members' attributes that best facilitated positive interpersonal relationships according to Carl Rogers' Person Centered Model was studied. Students (n 192) enrolled in a 3 year undergraduate nursing program in urban Jamaica were randomly selected to participate in this descriptive cross sectional study. A 38 item questionnaire on interpersonal relationships with nursing faculty and students' perceptions of their teachers was utilized to collect data. Factor analysis was used to create factors of realness, prizing, and empathetic understanding. Multiple linear regression analysis on the interaction of the 3 factors and interpersonal relationship scores was performed while controlling for nursing students' study year and age. One hundred sixty five students (mean age: 23.18 4.51years; 99% female) responded. The regression model explained over 46% of the variance. Realness (b 0.50, P .001) was the only significant predictor of the interpersonal relationship scores assigned by the nursing students. Of the total number of respondents, 99 students (60% reported satisfaction with the interpersonal relationships shared with faculty. Nursing students' perception of faculty members' realness appeared to be the most significant attribute in fostering positive interpersonal relationships.
El bienestar y el burnout en docentes, desde el modelo de demandas y recursos laborales: la inteligencia emocional como variable moderadora y el afecto positivo y negativo como variables mediadoras
Year: 2017

La presente Tesis Doctoral planteaba como objetivo general poner a prueba las premisas del Modelo de Demandas y Recursos Laborales (DRL) que predicen el proceso de agotamiento desgaste en el ambito laboral docente. Concretamente, esta tesis doctoral ha analizado el papel moderador de inteligencia emocional percibida (IEP) y el papel mediador de los afectos positivos (AP) como amortiguadores de las demandas existentes en las funciones del profesor (generadoras de estres y burnout) en la percepcion de la satisfaccion con la vida de los docentes. Para ello se ha contado con una muestra formada por 4627 docentes de toda Espana, de diferentes niveles educativos y tipologias de centros, que realizaron una bateria de cuestionarios administrada en formato online a traves de un gestor de cuestionarios. Las variables seleccionadas para este estudio (junto a sus instrumentos de medida) fueron: IEP (TMMS 24) Escala de Satisfaccion (ESV) Estres Percibido (PSS) Afecto Positivo y Negativo (PANAS) Burnout (MBI) Ademas, se les pregunto a los participantes sobre su edad, sexo, numero de horas de trabajo, especialidad que impartian, etc. Una vez recogidos los datos, se procedio a realizar distintos analisis estadisticos, concretamente analisis de mediacion y moderacion utilizando para ello, la macro Process Hayes, implementada sobre SPSS vs.24. Los resultados hallados ponen de manifiesto que la IEP actua como moderador en la interaccion entre el estres y el afecto negativo, si bien para la interaccion entre el estres y el burnout, la IEP el efecto de moderacion es limitado, ya que la dimension de atencion emocional no fue significativa. Con respecto al papel mediador del afecto, se obtuvieron resultados mas pronunciados para la interaccion entre estres y satisfaccion vital, que con respecto a la interaccion entre estres y burnout. Como conclusion de estudio, podemos indicar que la IE y el AP, son dos constructos psicosociales fundamentales para amortiguar los efectos perniciosos del estres y el burnout, producidos por las demandas laborales que existen en la labor docente. La propuesta en marcha de programas de entrenamiento en docentes destinados a la potenciacion de la inteligencia emocional y la prolongacion de los afectos positivos, segun nuestros resultados, facilitaria la disminucion de diversas patologias relacionadas con la salud fisica, psicologia y social de los docentes, lo que en consecuencia, producira un aumento en la eficacia de la actuacion docente.
Plant identity, but not diversity, and agroecosystem characteristics affect the occurrence of M. robertsii in an organic cropping system
Year: 2018

Organic farmers rely largely on cultural practices, such as crop rotation and cover cropping, and on biological control to manage pests. Winter cover crops add diversity to agroecosystems and can benefit soil conservation and health, retention and supply of soil nutrients, regulation of arthropods, and crop yields. Within the framework of a three year experiment to investigate ecosystem services and disservices associated with 12 winter cover crop treatments during the transition of a small grain corn soybean production system to organic management, we examined the effects of cash crop and crop management, cover crop species and diversity, arthropods, and soil properties on Metarhizium spp. in a single field site in central Pennsylvania, USA. We used sentinel insect assays with Galleria mellonella L. to determine the relative occurrence of Metarhizium spp. in soil samples from treatment plots. M. robertsii was the only species detected, and therefore Metarhizium species diversity was not related to cover crop diversity. Detection of M. robertsii was lower in cover crop monocultures and mixtures containing brassicas compared to those with legumes. M. robertsii was detected more frequently in the standing cover crops in the corn phase of the rotation than in the soybean phase, but there was no difference in soil samples in the corn and soybeans after cover crop termination. In samples from cover crops, 33% of the variation of percentage mortality of sentinel G. mellonella by M. robertsii was explained by positive correlations with cover crop biomass in the previous fall, the biomass of weeds in the current season (spring) soil moisture, Ca, and timing of sampling in days after planting, and by negative correlations with number of days since disturbance prior to soil sampling and percent sand. In samples from corn and soybeans, 23% of the variation of percentage mortality of sentinel G. mellonella by M. robertsii was explained by positive correlations with soil labile C, electrical conductivity, and activity density of ground beetles (Carabidae) and by negative correlations with increasing number of days after planting relative to time of sampling, percent sand, and activity density of mites. The complex interactions of multiple biotic and abiotic factors that shape the soil community requires further research to develop an understanding of how to manage production systems and practices to promote and conserve biological control in the soil.
MuLan: Multilevel Language based Representation Learning for Disease Progression Modeling
Venue: 2020 IEEE International Conference on Big Data (Big Data)
Year: 2020

Modeling patient disease progression using Electronic Health Records (EHRs) is crucial to assist clinical decision making. In recent years, deep learning models such as Long Short Term Memory (LSTM) and Convolutional Neural Network (CNN) have shown great success in handling sequential multivariate data, such as EHRs. Despite their great success, it is often difficult to interpret and visualize patient disease progression learned from these models in a meaningful yet unified way. In this work, we present MuLan: a Multilevel Language based representation learning framework that can automatically learn a hierarchical representation for EHRs at entry, event, and visit levels. We validate MuLan on modeling the progression of an extremely challenging disease, septic shock, by using real world EHRs. Our results showed that these unified multilevel representations can be utilized not only for interpreting and visualizing the latent mechanism of patients' septic shock progressions but also for early detection of septic shock.
The Good Politician: Folk Theories, Political Interaction, and the Rise of Anti Politics
Year: 2018

Surveys show a lack of trust in political actors and institutions across much of the democratic world. Populist politicians and parties attempt to capitalise on this political disaffection. Commentators worry about our current 'age of anti politics' Focusing on the United Kingdom, using responses to public opinion surveys alongside diaries and letters collected by Mass Observation, this book takes a long view of anti politics going back to the 1940s. This historical perspective reveals how anti politics has grown in scope and intensity over the last half century. Such growth is explained by citizens' changing images of 'the good politician' and changing modes of political interaction between politicians and citizens. Current efforts to reform and improve democracy will benefit greatly from the new evidence and conceptual framework set out in this important study.
Parental Involvement: Rhetoric of Inclusion in an Environment of Exclusion
Year: 2018

This article explores how parents and school personnel perceived and experienced parental involvement at a school serving a low income mainly black population. The first author recorded detailed field notes (n=70) and conducted in depth interviews with parents (n=20) and school personnel (n=20) over a three year period. Despite rhetoric of inclusion, the school's policies and practices restricted parents to predetermined and acceptable roles of parental involvement. Ideologies of colorblind racism undergirded school policies and practices, thereby maintaining current social hierarchies of white privilege and racial minority disadvantage. This colorblind approach to parental involvement created barriers to the development of authentic relationships and, therefore, the development of a positive, mutual, and respectful relationship between student families and school personnel. Naming racism and recognizing its impact on the school environment are important first steps towards change. School staff and teachers must be willing to interrogate their participation in maintaining social hierarchies.
PENJANAAN KEMAHIRAN BELAJAR DALAM PENGAJARAN DAN PEMBELAJARAN SEJARAH MELALUI DOCUMENT BASED LESSONS
Year: 2019

Kajian tinjauan secara deskriptif ini bertujuan untuk mengenal pasti tahap kemahiran belajar murid dalam pengajaran dan pembelajaran sejarah melalui Document Based Lessons Seramai 55 orang murid Tingkatan Empat yang dipilih melalui teknik persampelan bertujuan merupakan sampel kajian ini. Instrumen kajian ini merupakan soal selidik kemahiran belajar yang diadaptasi dan telah disahkan oleh pakar penilai serta mempunyai nilai kebolehpercayaan yang baik. Dapatan kajian ini menunjukkan bahawa tahap kemahiran belajar dalam kalangan murid secara keseluruhannya berada pada tahap tinggi, di samping keenam enam jenis kemahiran belajar iaitu kemahiran membaca, kemahiran menulis nota, kemahiran menguruskan masa, kemahiran mendengar, kemahiran membuat rujukan dan kemahiran menghadapi peperiksaan juga berada pada tahap tinggi. Implikasi kajian ini telah mencadangkan kepada guru guru sejarah untuk melaksanakan proses pengajaran dan pembelajaran sejarah melalui Document Based Lessons kerana didapati dapat meningkatkan pembentukan kemahiran belajar yang lebih baik yang memberi impak positif kepada peningkatan minat belajar sejarah dan pencapaian sejarah dalam kalangan murid.
FedMEC: Improving Efficiency of Differentially Private Federated Learning via Mobile Edge Computing
Venue: Mob. Networks Appl.
Year: 2020

Federated learning is a recently proposed paradigm that presents significant advantages in privacy preserving machine learning services. It enables the deep learning applications on mobile devices, where a deep neural network (DNN) is trained in a decentralized manner among thousands of edge clients. However, directly apply the federated learning algorithm to the mobile edge computing environment will incur unacceptable computation costs in mobile edge devices. Moreover, among the training process, frequent model parameters exchanging between participants and the central server will increase the leakage possibility of the users' sensitive training data. Aiming at reducing the heavy computation cost of DNN training on edge devices while providing strong privacy guarantees, we propose a mobile edge computing enabled federated learning framework, called FedMEC, which integrating model partition technique and differential privacy simultaneously. In FedMEC, the most complex computations can be outsourced to the edge servers by splitting a DNN model into two parts. Furthermore, we apply the differentially private data perturbation method to prevent the privacy leakage from the local model parameters, in which the updates from an edge device to the edge server is perturbed by the Laplace noise. To validate the proposed FedMEC, we conduct a series of experiments on an image classification task under the settings of federated learning. The results demonstrate the effectiveness and practicality of our FedMEC scheme.
Ji Yu FPGADe Zhi Jie Shu Zi Pin Lu He Cheng (DDS)Dian Lu
Year: 2012

Ben Wen Zai Gen Ju Zhi Jie Shu Zi Pin Lu He Cheng (DDS)De Ji Ben Yuan Li , Zi Ding Xiang Xia De She Ji Fang Fa ,Ti Chu Liao Yi Ge Ji Yu FPGADe Zhi Jie Shu Zi Pin Lu He Cheng (DDS)Dian Lu De She Ji Fang An ,Cai Yong VHDLYing Jian Miao Shu Yu Yan She Ji Liao DDSDian Lu Xi Tong De Ge Ge Mo Kuai ,Zai Shi Yan Shi De GX SOC/SOPC Dev Lab PlatformKai Fa Shi Yan Ping Tai Shang Jin Xing Ying Jian Diao Shi Cai Yong FPGAShe Ji De DDSDian Lu Xi Tong Ju You Ke Kao Xing Gao Wei Hu Sheng Ji Bian Jie Kuo Zhan Xing Qiang Deng Te Dian ,Ju You Hen Hao De Ying Yong Jie Zhi
Flipkart Myntra From a Merger to an Acquisition
Year: 2014

The Indian e commerce market was worth 75,000 crore, in 2013, according to a joint report by KPMG and Internet and Mobile Association of India. India has the potential to double its economic contribution via Internet, from 1.6 percent GDP at present to 2.8 and 3.3 percent by 2015 [MCkensy'2012] Indian E commerce is most likely to generate employment for 1.45 million people in coming two years. Emergence of the new government and its innovative policies are developing hope to bring FDI in e commerce for local market players. Marking the biggest consolidation in the e commerce space in India, this report puts light on India's own Amazon; Flipkart and fashion e tailer Myntra which jointly exposes their vision to capture more than 50% e market share by strategic alliance. As Flipkart's annualized sales crossed over 6,100 crore a year ahead of target. It had estimated to reach the billion dollar mark for gross merchandise value by 2015; on the other hand Myntra's revenue was about 1,000 crore in the previous financial year. It aims to double its revenue in this financial year as it expands its seller base and adds products following China's biggest e retail model Alibaba.com. Myntra has about 100 sellers on board and plans to increase this number to 1,000 by fiscal end. The strategy of Flipkart is to invest around 600 crore in its fashion business in coming years to combat with global rivals like Amazon and eBay Inc. Furthermore it reveals the philosophy behind this giant acquisition and how this will contribute to the progression of Indian economy which will lead it to become a global player in Ecommerce.
Self Control in Cyberspace: Applying Dual Systems Theory to Digital Self Control Tools
Year: 2018

Many people struggle to control their use of digital devices. However, our understanding of the design mechanisms that support user self control remains limited. In this paper, we make two contributions to HCI research in this space: first, we analyse 367 apps and browser extensions from the Google Play, Chrome Web, and Apple App stores to identify common core design features and intervention strategies afforded by current tools for digital self control. Second, we adapt and apply an integrative dual systems model of self regulation as a framework for organising and evaluating the design features found. Our analysis aims to help the design of better tools in two ways: (i) by identifying how, through a well established model of self regulation, current tools overlap and differ in how they support self control; and (ii) by using the model to reveal underexplored cognitive mechanisms that could aid the design of new tools.
Block Sparse RPCA for Salient Motion Detection
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2014

Recent evaluation   of representative background subtraction techniques demonstrated that there are still considerable challenges facing these methods. Challenges in realistic environment include illumination change causing complex intensity variation, background motions (trees, waves, etc. whose magnitude can be greater than those of the foreground, poor image quality under low light, camouflage, etc. Existing methods often handle only part of these challenges; we address all these challenges in a unified framework which makes little specific assumption of the background. We regard the observed image sequence as being made up of the sum of a low rank background matrix and a sparse outlier matrix and solve the decomposition using the Robust Principal Component Analysis method. Our contribution lies in dynamically estimating the support of the foreground regions via a motion saliency estimation step, so as to impose spatial coherence on these regions. Unlike smoothness constraint such as MRF, our method is able to obtain crisply defined foreground regions, and in general, handles large dynamic background motion much better. Furthermore, we also introduce an image alignment step to handle camera jitter. Extensive experiments on benchmark and additional challenging data sets demonstrate that our method works effectively on a wide range of complex scenarios, resulting in best performance that significantly outperforms many state of the art approaches.