nils-herrmann/clean_scirepeval huggingface dataset:
Learning Sparse and Identity Preserved Hidden Attributes for Person Re Identification
Venue: IEEE Transactions on Image Processing
Year: 2020

Person re identification (Re ID) aims at matching person images captured in non overlapping camera views. To represent person appearance, low level visual features are sensitive to environmental changes, while high level semantic attributes, such as "short hair" or "long hair" are relatively stable. Hence, researches have started to design semantic attributes to reduce the visual ambiguity. However, to train a prediction model for semantic attributes, it requires plenty of annotations, which are hard to obtain in practical large scale applications. To alleviate the reliance on annotation efforts, we propose to incrementally generate Deep Hidden Attribute (DHA) based on baseline deep network for newly uncovered annotations. In particular, we propose an auto encoder model that can be plugged into any deep network to mine latent information in an unsupervised manner. To optimize the effectiveness of DHA, we reform the auto encoder model with additional orthogonal generation module, along with identity preserving and sparsity constraints. 1) Orthogonally generating: In order to make DHAs different from each other, Singular Vector Decomposition (SVD) is introduced to generate DHAs orthogonally. 2) Identity preserving constraint: The generated DHAs should be distinct for telling different persons, so we associate DHAs with person identities. 3) Sparsity constraint: To enhance the discriminability of DHAs, we also introduce the sparsity constraint to restrict the number of effective DHAs for each person. Experiments conducted on public datasets have validated the effectiveness of the proposed network. On two large scale datasets, i.e. Market 1501 and DukeMTMC reID, the proposed method outperforms the state of the art methods.
Making web applications more energy efficient for OLED smartphones
Venue: ICSE
Year: 2014

A smartphone's display is one of its most energy consuming components. Modern smartphones use OLED displays that consume more energy when displaying light colors as op posed to dark colors. This is problematic as many popular mobile web applications use large light colored backgrounds. To address this problem we developed an approach for auto matically rewriting web applications so that they generate more energy efficient web pages. Our approach is based on program analysis of the structure of the web application im plementation. In the evaluation of our approach we show that it can achieve a 40% reduction in display power con sumption. A user study indicates that the transformed web pages are acceptable to users with over 60% choosing to use the transformed pages for normal usage.
Supplier selection in closed loop supply chain by an integrated simulation Taguchi DEA approach
Venue: J. Enterp. Inf. Manag.
Year: 2016

Reverse logistics refer to processes related to the reuse of products. The role of suppliers' performance is crucial in achieving quality, cost, service and delivery aims of a supply chain. The selection of suppliers is regarded as one of the critical issues encountered by purchasing and operations managers in a supply chain to enhance organization's global marketplace competitiveness. Most of the supply chain models are rather complex problems. Consequently, it is impossible to propose systematic models to handle them. Therefore, in this paper a new integrated approach based on experimental design and computer simulation is proposed for supplier selection. The paper aims to discuss these issues.  In this study, a simulation approach is implemented to determine certain equivalent of parameters values in a CLSC network design which cannot be computed through mathematical model. Suppliers' order quantities are investigated by Taguchi method for planning time horizon.
Estres academico en estudiantes universitarios de nuevo ingreso y su relacion con la via de acceso a la universidad
Venue: Libro de Actas IN RED 2019: V Congreso de Innovacion Edicativa y Docencia en Red
Year: 2019

Analizar los estresores academicos mas frecuentes en los estudiantes universitarios de nuevo ingreso en grados de la Universidad Catolica de Valencia, asi como las diferencias en el nivel de estres en funcion del sexo, edad y via de acceso a la universidad (Ciclos Formativos y Bachillerato) del tipo de Bachillerato (Ciencias y Tecnologia, Ciencias Sociales y Humanidades) Como pregunta de investigacion se propone: ?Cuales son los estresores mas frecuentes en los estudiantes universitarios de nuevo ingreso? Metodo: estudio descriptivo de corte transversal, llevado a cabo sobre 1465 estudiantes de nuevo ingreso en 28 titulaciones de la Universidad Catolica de Valencia, que respondieron al Cuestionario de Estres Academico en la Universidad (CEAU) Resultados: Las situaciones academicas que mayor estres producen a los estudiantes son "Falta de tiempo para cumplir con las actividades academicas" "Sobrecarga academica" "Exposicion de trabajos en clase" y "Realizacion de examenes" Las mujeres presentan mayor estres academico que los hombres. Los estudiantes provenientes de Formacion Profesional presentan mayor estres en las situaciones relativas a las obligaciones academicas que los de Bachiller, y estos a su vez presentan mayor estres que los primeros en las situaciones relativas a la expresion y comunicacion de ideas. Los alumnos provenientes de Bachillerato de Ciencias Sociales y Humanidades presentan mayor estres que los de Ciencias y Tecnologia, en las situaciones relativas a las obligaciones academicas y a las de expediente y perspectivas de futuro. Con respecto a la edad, se observa una correlacion directa con el estres causado por las obligaciones academicas e inversa con el causado por la expresion y comunicacion de ideas. Discusion y conclusiones: La "Falta de tiempo para cumplir con las actividades academicas" "Sobrecarga academica" "Exposicion de trabajos en clase" y "Realizacion de examenes" constituyen los estresores mas frecuentes en los estudiantes universitarios de nuevo ingreso. Se analizan los resultados y se sugieren implicaciones para la practica.
Chemical looping Steam reforming of Acetic Acid in a Packed Bed Reactor
Year: 2018

Chemical looping steam reforming of acetic acid (CLSR HAc) was carried out in a packed bed reactor at 650 degC and 1 atm using two nickel based catalysts 'A' with alumina support and 'B' with calcium aluminate support) to study the effect of the temperature of oxidation (T OX on the efficiency of the process and the materials properties of the catalysts upon cycling. CLSR HAc could not be sustained with steady outputs with T OX of 600 degC for catalyst A, but it was conducted successfully at temperatures up to 800 degC, whereas with B it could be operated reaching close to equilibrium conditions over five cycles with T OX of 600 degC. CLSR HAc can run efficiently for further cycles at the right operating conditions (S/C of 3, WHSV of 2.5 h 1 T OX 800 degC, T SR 650 degC) even in the presence of the side reactions of acetic acid decomposition and coking. The yield of hydrogen produced had a minimum efficiency of 89% compared to equilibrium values, and the acetic acid conversion was in excess of 95% across 10 chemical looping steam reforming cycles. High purity hydrogen >90% compared to equilibrium values) was also produced in this study. Chemigrams obtained from TGA FTIR analysis indicates that two forms of carbon were formed on the catalyst during CLSR HAc; TEM images and diffraction patterns indicate that poly graphitic carbon and amorphous carbon were formed while SEM images of the oxidised catalyst showed that the carbon was eliminated during the oxidation step of CLSR. A full carbon elemental balance of the process confers that majority of the carbon share (ca 90% was utilised for efficient steam reforming of acetic acid with ca 10% of the carbon input deposited during the reduction step and subsequently burned during oxidation over the CLSR cycles.
Unidades fraseologicas em textos autenticos em frances: o exemplo dos contos infanto juvenis
Venue: A Cor das Letras
Year: 2019

Este trabalho tem como base teorica os estudos recentes sobre fraseologia (GONZALEZ REY, 2015; GROSS, 1996; MEJRI, 1997, 2017;  2014, 2017) e visa identificar e catalogar quantitativamente os fraseologismos presentes na serie de contos infanto juvenis Le Petit Nicolas (GOSCINNY; SEMPE, 1960 1964) estabelecendo regras de descricao e estrutura de codificacao dos dados. Objetiva se analisar as estruturas morfossintaticas, verificar a recorrencia dos fraseologismos encontrados nos dez primeiros contos do volume 1 e averiguar quais expressoes causam maior ou menor dificuldade de compreensao para um leitor brasileiro de frances. Os resultados apontam que as estruturas sintaticas dos fraseologismos em frances sao proximas as do portugues, o que nao aumenta a complexidade de compreensao.
Utilization of maternal health care services among married adolescent women: insights from the Nigeria Demographic and Health Survey, 2008.
Venue: Women's health issues official publication of the Jacobs Institute of Women's Health
Year: 2012

An ongoing social catastrophe of very poor performance in maternal health coupled with an unacceptably high number of maternal deaths is evident in Nigeria, especially among adolescent women. This study examines the factors associated with selected maternity services married adolescent women who have had at least four antenatal care (ANC) visits, those who have undergone safe delivery care, and those who received postnatal care within 42 days of delivery.  Data from Nigeria Demographic and Health Survey, 2008, were used. An eligible sample of 2,434 married adolescent (aged 15 19 years) women was included in the analysis. Pearson chi square test and binary logistic regression were performed to fulfill the study objective.  It was found that about 35% of adolescent women had at least four ANC visits, a little over 25% had undergone safe delivery care, and nearly 32% received postnatal care within 42 days of delivery. Women's education, husband's education, wealth quintile, and region of residence were documented as the most important factors associated with maternal healthcare service utilization. The ANC visit was found to be vital in the utilization of safe delivery and postnatal care.  Findings indicate that programs to improve maternal healthcare have not succeeded in overcoming the socioeconomic obstacles in the way of adolescents' utilizing maternity services. In the long run, the content and service delivery strategy of maternity programs must be designed in keeping with the socioeconomic context with special attention to adolescent women who are uneducated, poor, and residing in rural areas.
Enhanced near infrared electroluminescence from a neodymium complex in organic light emitting diodes with a solution processed exciplex host
Year: 2019

We report enhanced near infrared (NIR) electroluminescence from a Nd3+ complex with thenoyltrifluoroacetone and 1,10 phenanthroline ligands. The NIR emitting complex was blended into an exciplex forming co host system comprising 2,7 bis(diphenylphosphoryl) 9,9' spirobifluorene as the electron transport material and 4,4',4' tris(carbazol 9 yl)triphenylamine as the hole transport material in solution processed small molecule organic light emitting diodes (OLEDs) This binary ambipolar host system favors direct charge trapping and exciton formation on the Nd3+ complex molecules. Efficient energy transfer from the singlet and triplet exciplexes formed between the host molecules to the Nd3+ ions contributes to the enhanced luminescence efficiency. The photoluminescence quantum yield of this blend is 1.2% and the optimized OLED shows a maximum electroluminescence external quantum efficiency of 0.034% The device also exhibits a low efficiency roll off of only 12% over a current density range of 100 mA/cm2, due.
Supporting the transition from third level education to employment by peer peer learning through online reflective blog assessment
Year: 2014

Students on work placement will have different experiences from each other, however they are generally not connected to their peers, but working with professionals under the guidance of a work placement tutor. We found that students were not formally supported by peers and did not learn from the diverse range of activities their peers experienced during work placement. This research describes an approach for developing critical thinking skills through reflective writing by introducing an online blog assessment, which allows experiences to be shared within a class group. A reflective blog assessment was implemented using the virtual learning environment system Blackboard. We identified key requirements and resources to prepare, support and engage students in all aspects of the assessment. Examples are assessment rubric, instructional videos prepared using Camtasia Studio(r) and reflective writing resources, all available to the student through Blackboard. We will discuss these resources and activities, implementation of a pre placement reflective writing workshop, feedback mechanisms, and assessment strategies which actively promoted student interaction with their peers. Evaluation results including recommendations, limitations and suggested improvements will also be included. Main benefits were all students had the potential to learn from their own reflections; from each other's experiences; from tutor feedback on their blog and peer blogs; from the process of peer review and through broadening the curriculum by connecting the 'class room' setting to 'real life working environment' On a national level this assessment addresses the theme 'Teaching for Transitions' from the National Forum of the Enhancement of Teaching and Learning in Higher Education. An assessment of this nature also resonates with several recommendations on Modernisation of Higher Level Education in Europe particularly in terms of assessment against clear and agreed learning outcomes, and the exploitation of opportunities presented by the digital era to improve the quality of teaching and learning.
An Origami Reconfigurable Axial Mode Bifilar Helical Antenna
Venue: IEEE Transactions on Antennas and Propagation
Year: 2015

This communication presents a new reconfigurable origami bifilar helical antenna. This antenna can change its operating frequencies by changing its height. Also, analytical equations for the design of such antennas are derived based on an equivalent model of a standard helical antenna. An origami bifilar helical antenna is designed and its performance is verified using simulations and measurements.
Presence of biogas from food wastes: a preliminary study/Salmi Nur Ain [et al.
Year: 2017

The accumulation of solid organic waste is thought to be reaching critical level in almost all regions of the world including Malaysia. These organic wastes need to be managed in a sustainable way to avoid depletion of natural resources, minimize risk to human health, reduce environmental burdens and maintain an overall balance in the ecosystem. There are numbers of method currently being applied to the treatment and management of solid organic waste. One of the methods is anaerobic digestion. Anaerobic digestion is a biological process in which the microorganisms will break down biodegradable material in the absence of oxygen yielding the product biogas. Food waste with high content of carbon can be considered as a good source of substrate to produce biogas via fermentation process. In this research, the digestion of food waste (FW) and sludge water (SW) was used. The experiment was conducted in the digester model with different ratio of SW and FW. The digester model was filled with different ratio of SW to FW by mass. The ratio are 1:1, 1:3, 1:5, and one model which acts as a control. The amount of biogas collected was observed every 5 days. From the observation, it shows that the amount of biogas collected and the production rate with ratio 1:5 is higher as compared to the other model. From the observation, it can be predicted that the production rate of biogas can be increased when it has large amount of food waste with a large number of carbon content. From the result obtained, it shows that the food wastes have the potential in producing biogas.
Learning Robust Representations with Score Invariant Learning
Year: 2020

Learning robust representations of data is critical for many machine learning tasks where the test distribution is different from the train distribution. Several recent approaches have proposed new principles to achieve generalizable predictors by learning robust representations from multiple training set distributions. These studies develop new algorithms that guide neural networks to learn representations that are stable across training sets, rather than spurious correlations within any given training set. We develop a new principle for learning robust representations: score invariant learning (SIL) We observe that learning a model over multiple train domains can be viewed as learning a distinct model distribution over data from each domain, with the property that all model distributions share the same parameters. We use this observation to derive an invariance metric, based on score matching, that learns robust estimators by enforcing invariance of likelihood of points across model distributions. Our experiments demonstrate SIL achieves stateof the art performance on the Colored MNIST task, as well as performance competitive with the state of the art on two domain generalization benchmarks, PACS and VLCS.
Strategies of Foreign Universities on the ASEAN Educational Market
Year: 2019

ASEAN is characterized by a steady growth of the economy, a growing middle class and a large population of school age, it is one of the most promising growing markets for the export of educational services. The scale of student mobility from this region has been constantly increasing. At the same time, there is a noticeable trend towards the diversification of its geography with the emergence of new destinations and the weakening positions of traditional countries like the USA, France and Germany. The ASEAN is becoming promising not only as the largest donor of foreign students, but also as a notable player in the global educational market as a study destination. Special attention is given to the analysis of the markets of Singapore and Malaysia, as the largest regional educational hubs. The strategies of these countries are based on the creation of special economic zones in the field of education, thereby attracting leading foreign universities. This approach has a positive effect on the quality of education, increasing the attractiveness of the country as a study destination. The purpose of this article is to analyze the specifics of the strategies of foreign universities in the ASEAN countries in order to identify the potential for export of educational services by Russian universities. The strategies of foreign universities are based on a number of mechanisms, such as setting up international branch campuses in ASEAN countries, opening joint universities and operating through the franchise system. The article identifies the main problems which constrain the expansion of Russian
Development of Instrument for Assessing Information Systems Continuance Use
Venue: ICSIM 2019
Year: 2019

Information systems (IS) or computer based systems plays a critical role in an organization's success. IS can facilitate organization through several courses of information management including gathering, processing and disseminating information. However, lack of research in continuance use of IS poses an obstacle in IS usage in an organization. Previous studies have examined continuance intention using the Expectation Confirmation Model (ECM) as it provides a basis of investigating IS continuance. ECM employed mainly the three factors or constructs to explain behavioural intention, namely confirmation, perceived usefulness, and satisfaction. However, the expansion in today's business requires a further integration with other constructs such as experience, self efficacy, task technology fit, utilization and perceived support. Thus, this paper proposes a new comprehensive IS continuance model through the extension of ECM by integrating new constructs from other related theories which include Task Technology Fit (TTF) Social Cognitive Theory (SCT) Social Support Theory (SST) and Unified Theory of Acceptance and Use of Technology (UTAUT) The items are grouped into nine constructs modified to suit the context of the study. The proposed model and measurement items will provide useful knowledge for exploring ISC research.
The fifteenth data release of the Sloan Digital Sky Surveys: First release of MaNGA derived quantities, data visualization tools, and stellar library
Year: 2019

Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS) Here, we release data taken by the fourth phase of SDSS (SDSS IV) across its first three years of operation (2014 July 2017 July) This is the third data release for SDSS IV, and the 15th from SDSS (Data Release Fifteen; DR15) New data come from MaNGA we release 4824 data cubes, as well as the first stellar spectra in the MaNGA Stellar Library (MaStar) the first set of survey supported analysis products (e.g. stellar and gas kinematics, emission line and other maps) from the MaNGA Data Analysis Pipeline, and a new data visualization and access tool we call "Marvin." The next data release, DR16, will include new data from both APOGEE 2 and eBOSS; those surveys release no new data here, but we document updates and corrections to their data processing pipelines. The release is cumulative; it also includes the most recent reductions and calibrations of all data taken by SDSS since first light. In this paper, we describe the location and format of the data and tools and cite technical references describing how it was obtained and processed. The SDSS website (www.sdss.org) has also been updated, providing links to data downloads, tutorials, and examples of data use. Although SDSS IV will continue to collect astronomical data until 2020, and will be followed by SDSS V (2020 2025) we end this paper by describing plans to ensure the sustainability of the SDSS data archive for many years beyond the collection of data.
Application of the Theory of Constraints for Continuous Improvement of a Production Process Case Study
Year: 2018

The paper presents the example of practical application of theory of constraints. We use this conception to improve production process in the case of company producing electrical equipment for the mining industry. During the observation and on the basis of the ERP system used in the company as well as process mapping, the area in which the so called "bottleneck" problems are present was determined according to the theory of constraints. Analysis of the "bottleneck" using theory of constraints was carried out in the Paint Shop department, as this is the department where the biggest financial losses are generated and the entire painting process inefficient. The aim of the paper is to analyze of the "bottleneck" using theory of constraints in the production industry to improve the process.
Customizing A Computerized Text Analyzer For ESL Writers
Year: 2013

The number of computerized writing aids has grown dramatically in the past decade. One of the newest and most controversial of these aids is computerized text analysis. This paper reports a study which examined a widely available text analyzer and tested its adaptability for use with a specific population of ESL writers. Though the study found that the text analyzer could be customized to address certain problems ESL writers encounter, important questions remain about the cost and the gains involved in adapting text analysis for the ESL composition classroom.