nils-herrmann/clean_scirepeval huggingface dataset:
Acceso a la justicia, tutela judicial efectiva y defensoria publica el caso de las necesidades juridicas insatisfechas relacionadas con el Estado
Year: 2019

Los sistemas de defensoria publica se presentan como instrumentos equilibradores, que buscan ampliar los canales de acceso a la jurisdiccion en condiciones de igualdad y asegurar una asistencia juridica efectiva para sus beneficiarios en todas las areas del derecho. Sin embargo, estos sistemas deben enfrentar multiples obstaculos o barreras que dan lugar a que se consolide un indice de necesidades juridicas insatisfechas que crece de forma exponencial, especialmente en areas de alta complejidad tecnica juridica, como el caso del derecho administrativo. ?Como es posible reducir esas barreras y lograr que el indice de necesidades juridicas insatisfechas se reduzca sustancialmente? En aras de brindar una aproximacion preliminar a esta problematica, el Documento de Investigacion que presenta un avance investigativo, busca desarrollar un analisis sobre el alcance de los derechos de acceso a la justicia y a la tutela judicial efectiva desde la perspectiva del funcionamiento de los sistemas defensoriales, haciendo enfasis en que a) la falta de articulacion de estos ultimos con las instituciones encargadas de impartir justicia y b) la carente implementacion de estandares defensoriales especializados impide que haya una reduccion efectiva de las necesidades juridicas insatisfechas. Con miras a aterrizar estas afirmaciones, se toma como punto de referencia el caso del derecho administrativo, que resulta paradigmatico.
The Therapeutic Use of Antioxidants for Melasma.
Venue: Journal of drugs in dermatology JDD
Year: 2020

Melasma is a chronic dermatologic condition with an incompletely understood pathogenesis and well demonstrated impact on patient quality of life. Melasma is a common cause for seeking dermatologic care, and with no universally efficacious therapy or cure, com bination treatment is the best approach for many cases. Numerous studies have demonstrated the role of oxidative stress in patients with melasma, prompting investigation into several antioxidants for melasma therapy. In this review, we discuss the well defined role of oxidative stress in melasma and the therapeutic efficacy of various antioxidants for patients suffering from melasma. We focus our discussion on studies investigating the role of vitamin C, azelaic acid, cysteamine, glutathione, carotenoids, and numerous other antioxidants in disorders of hyperpigmentation. There is promising evidence for the use of these antioxidants, as topical, oral, and intra venous preparations, both in isolation and in conjunction with other melasma therapies.
Prediction of Electronic Unit Radiated Emissions from Both PCB Near Field and Shielding Enclosure Characterization
Venue: 2019 ESA Workshop on Aerospace EMC (Aerospace EMC)
Year: 2019

This paper presents the post processing methodology devoted to the Near Field Scanning (NFS) to provide assistance in ElectroMagnetic Compatibility (EMC) design phases of complex electronics products. A major challenge for spacecraft manufacturers for incoming year concerns the control of units Radiated Emissions (RE) Indeed, high speed links could induce RE non compliance for units in on board receiver frequencies (ex: GPS, TCR. To avoid additional test campaign or system level analyses, Near Field techniques could be a powerful way to anticipate RE non conformities in unit design phase. Based both on NFS (only $H_{x} and $H_{y} magnetic components very closed to the Printed Circuit Board (PCB) and on Shielding enclosure Effectiveness (SE) characterization, the proposed "NFS2RE" (Near Field Scanning to Radiated Emission Test) methodology allows: 1)RE Test prediction of PCB in free space condition from only $H_{x} and $H_{y} NFS 2)Prediction of Shielding PCB's enclosure attenuation on RE Test from SE characterization
Full scale biological treatment of tannery wastewater using the novel microbial consortium BM S 1
Venue: Journal of environmental science and health. Part A, Toxic/hazardous substances environmental engineering
Year: 2014

In order to develop a more effective and eco friendly treatment technology, a full scale tannery wastewater treatment plant with a sludge digestion system was augmented with a novel microbial consortium (BM S 1) The aim of this study was to determine if the BM S 1 could successfully treat the tannery wastewater in a full scale treatment system without chemical pretreatment and to investigate effect of the augmentation on sludge production. Chemical oxygen demand (COD) total nitrogen (TN) total phosphorus (TP) chromium (Cr) and mixed liquor suspended solids (MLSS) were measured to monitor treated water quality and treatment efficiency. Microbial community structures in the treatment were also examined using pyrosequencing analysis of 16S rRNA gene and quantitative PCR (qPCR) of the nitrous oxide reductase gene (nosZ) The removal efficiencies of COD, TN, TP, and Cr were estimated to be 98.3% 98.6% 93.6% and 88.5% respectively, while the system without a continuous augmentation was broken down. The pyrosequencing analysis showed Brachymonas denitrificans to be the most dominant microbial population in the buffering tank (B; 37.5% Potential polymeric substance degraders (Clostridia) sulfate reducers (Desulfuromonas palmitatis) and sulfur oxidizers (uncultured Thiobacillus) were dominant in the sludge digestion (SD) tank. The denitrifiers assayed by nosZ qPCR were dominant in B and SD. These microbial communities appeared to play important roles in removing nutrients and odor, and reducing sludge in the wastewater treatment plant without chemical pretreatment.
Contrasting the Contrast Sets: An Alternative Approach
Venue: 11th International Database Engineering and Applications Symposium (IDEAS 2007)
Year: 2007

The need to identify significant differences between contrasting groups or classes is ubiquitous and thus was the focus of many statisticians and data miners. Contrast sets, conjunctions of attribute value pairs significantly more frequent in one group than another, were proposed to describe such differences, which lead to the introduction of a new data mining technique contrast set mining. A number of attempts have been made in this regard by various authors; however, no clear picture seems to have emerged. In this paper, we try to address the problem of finding meaningful contrast sets by using association rule based analysis. We present the results for our experiments for interesting contrast sets and compare these results with those obtained from the well known algorithm for contrast sets STUCCO.
Plan de intervencion para desarrollar el proceso de atencion en ninos y ninas de 3 a 5 anos que presentan Sindrome de Down del centro de desarrollo integral Cedin Down
Year: 2016

Las alteraciones cerebrales propias de los ninos con Sindrome de Down producidas por la trisomia cromosomica afectan el funcionamiento de la atencion. La presente investigacion se realizo en el centro de Neurodesarrollo "Fundacion Huiracocha Tutiven" en la misma participaron ninos y ninas con Sindrome de Down. El objetivo de la investigacion fue mejorar los procesos atencionales en los ninos con Sindrome de Down para lo cual se aplico los test Battelle y WPPSI III para poder obtener resultados de cada uno de los ninos. Se procedio a realizar el plan de intervencion mediante el cual se trabajo 160 planificaciones durante todo el proceso, mejorando asi la atencion de los ninos y por ende su desarrollo en las diferentes areas la cuales son: Motriz gruesa, Motriz fina, Lenguaje, Actividades de la vida diarias.
Defining gameful experience as a psychological state caused by gameplay: Replacing the term 'Gamefulness' with three distinct constructs
Venue: Int. J. Hum. Comput. Stud.
Year: 2019

Gamefulness is commonly cited as the primary goal of gamification, a family of approaches employed in education, business, healthcare, government, and elsewhere. However, gamefulness is defined imprecisely across the literature. To address this, we present a theory of gamefulness that splits gamefulness into more specific constructs and outlines their effects in a process model.  We integrate extant literature from psychology, human computer interaction, and other fields to define gameful design, systems, and experiences. Most critically, we argue that gameful experience is the core focal construct of this theory and define it as an interactive state occurring when a person perceives non trivial achievable goals created externally, is motivated to pursue them under an arbitrary set of behavioral rules, and evaluates that motivation as voluntary.  We present six resulting propositions: (1) gameful systems lead to gameful experiences, (2) gameful systems impact psychological characteristics, (3) effective gameful design leads to gameful systems, (4) effective gameful systems lead to behavioral change, (5) appropriate behavioral change causes the distal outcomes gamification designers target, and (6) individual differences moderate the effectiveness of gameful systems.  Gameful experience theory provides researchers with a unified foundation to study gamification from any social scientific lens.
Effects of ultrasound on the beef structure and water distribution during curing through protein degradation and modification.
Venue: Ultrasonics sonochemistry
Year: 2017

The objective of this study was to explore the mechanisms of power ultrasound (PUS, 150 and 300W) and treatment time (30 and 120min) on the water holding capacity (WHC) and tenderness of beef during curing. Beef muscle at 48h post mortem was subjected to PUS treatment at a frequency of 20kHz. Analysis of compression loss and shear force showed that PUS assisted curing significantly increased the WHC and the tenderness of beef compared to static brining (p<0.05) According to the analysis of LF NMR, PUS treatment could increase the P21 values which indicated an improvement in water binding ability of beef muscle. SDS PAGE and LC ESI MS/MS analysis suggested that PUS induced moderate oxidation of myosin causing polymerization, which may contribute to increased water retention. On the other hand, an increased tenderness of beef is suggested by the increased MFI values and proteolysis of desmin and troponin T. Transmission electron microscopy (TEM) further supported the effects of PUS on WHC and tenderness changes due to the swelling and disruption of myofibrils. Thus, these results provide knowledge about the mechanism for improving WHC and tenderness of beef by PUS curing, which could be employed as an emerging technology for various meat curing processes.
Scalable, High Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel
Venue: 2019 IEEE International Conference on Cluster Computing (CLUSTER)
Year: 2019

We investigate the representation of discrete scientific data with a Ck functional model, where Ck denotes k th order continuity, in a distributed memory parallel setting. The Multivariate Functional Approximation (MFA) model is a piecewise continuous functional approximation based on multi variate high dimensional B splines. When computing an MFA approximation in parallel over multiple blocks in a spatial domain decomposition, the interior of each block will be Ck, k being the B spline polynomial degree, but discontinuities exist across neighboring block boundaries. We present an efficient and scalable solution that involves blending neighboring approximations to ensure Ck continuity across block boundaries. We show that after decomposing the domain in structured, overlapping blocks and approximating blocks independently to high degrees of accuracy, we can extend the local solution, in a postprocessing step, to the global domain by using compact, multidimensional smoothstep functions. We prove that this approach, which can be viewed as an extended partition of unity approximation method, is scalable on high performance computing architectures.
Advances in stochastic programming approaches to optimization under uncertainty
Year: 2019

The habilitation thesis, Advances in Stochastic Programming Approaches to Optimization under Uncertainty, is based on a collection of ten papers authored, and co authored, by Martin Branda. The thesis organizes the discussion into work on: (i) chance constrained optimization models; (ii) sample approximation of mixed integer stochastic programs; and, (iii) extensions of the data envelopment analysis technique to capture diversification, with applications in portfolio optimization.
Betriebliches Gesundheitsmanagement in einem Mittelstandsunternehmen im Maschinenbau
Year: 2019

Wirtschaftliches Wachstum und die globale Ausrichtung des Unternhemens fordert alle Beteiligten in besonderer Weise. Deshalb ist es umso wichtiger, auf die Bedurfnisse der Mitarbeiter und der Fuhrungskrafte zu achten.
Experimental Games and Social Decision Making
Year: 2021

Experimental games model situations in which the future outcomes of individuals and groups depend on their own choices and on those of other (groups of) individuals. Games are a powerful tool to identify the neural and psychological mechanisms underlying interpersonal and group cooperation and coordination. Here we discuss recent developments in how experimental games are used and adapted, with an increased focus on repeated interactions, partner control through sanctioning, and partner (de)selection for future interactions. Important advances have been made in uncovering the neurobiological underpinnings of key factors involved in cooperation and coordination, including social preferences, cooperative beliefs, (emotion) signaling, and, in particular, reputations and (in)direct reciprocity. Emerging trends at the cross sections of psychology, economics, and the neurosciences include an increased focus on group heterogeneities, intergroup polarization and conflict, cross cultural differences in cooperation and norm enforcement, and neurocomputational modeling of the formation and updating of social preferences and beliefs. Expected final online publication date for the Annual Review of Psychology, Volume 72 is January 5, 2021. Please see http:/www.annualreviews.org/page/journal/pubdates for revised estimates.
Character Relationship Management of Play Script System Based On SaaS
Venue: 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)
Year: 2018

In recent years, the network dramas have been more and more popular, and many people have become the screenwriter and director. How to create a better script has become a hot topic. This paper introduces the play script management system and discusses the realistic significance of character's biography and relationships for both screenwriters and directors. The system uses the online writing mode of the script to draw graphs of relationships and helps screenwriter and director better grasp the relationships among the characters and the plots of the story by visualization. Finally, the graph of relationships can not only help screenwriters create play scripts conveniently but also help directors understand dramas well.
A Method for Determining Nonlinear Inductances of Electrical Equivalent Circuit for Three Phase Induction Motor
Year: 2018

Accurate values of the equivalent circuit parameters of three phase induction motor are critical for its precise performance evaluation. Motor parameters, mainly the inductances obtained from conventional no load and blocked rotor tests are constant parameters for all load conditions. However, due to inherent nature of the core material property, i.e. nonlinear B H curve, the inductances do not remain constant in practical. This work proposes a method comprising simple tests using which all the motor nonlinear inductances can be determined. The motor mathematical model under the test conditions is also developed. The results obtained from equivalent circuit using the nonlinear inductances are validated with experimental results for two different motors and good agreement has been achieved. It is observed that the motor performances calculated using nonlinear inductances matches more closely to experimental results as compared to that using constant inductances.
A decision tree method for building energy demand modeling
Year: 2010

This paper reports the development of a building energy demand predictive model based on the decision tree method. This method is able to classify and predict categorical variables: its competitive advantage over other widely used modeling techniques, such as regression method and ANN method, lies in the ability to generate accurate predictive models with interpretable flowchart like tree structures that enable users to quickly extract useful information. To demonstrate its applicability, the method is applied to estimate residential building energy performance indexes by modeling building energy use intensity (EUI) levels. The results demonstrate that the use of decision tree method can classify and predict building energy demand levels accurately (93% for training data and 92% for test data) identify and rank significant factors of building EUI automatically. The method can provide the combination of significant factors as well as the threshold values that will lead to high building energy performance. Moreover, the average EUI value of data records in each classified data subsets can be used for reference when performing prediction. One crucial benefit is improving building energy performance and reducing energy consumption. Another advantage of this methodology is that it can be utilized by users without requiring much computation knowledge.
Why local governments rarely use PPPs in their road development projects: Understanding the barriers
Year: 2016

The purpose of this paper is to identify barriers that prevent local governments from applying PPPs in their road development projects.  Based on insights from a literature review, interviews were held with relevant staff to identify barriers. These were verified and their relative significance was determined through the use of a questionnaire, before being reflected upon and compared with literature findings.  The research identified 37 barriers to local governments using PPPs in road development projects and showed that four barriers consistently stand out. First, the application of PPPs requires local governments to adapt their current working methods, which amounts to a large impediment to local governments applying PPPs. Second, local government employees believe that applying PPPs might effectively exclude local contractors from involvement in projects. Finally, local governments experience the whole PPP approach (the third barrier) and the PPP contract (the fourth) as overly complicated.  To increase the use of PPPs for infrastructure provision at the local level, one has to focus on removing dominant local barriers as identified in this research.  Although local level PPPs have seen increasing interest, this is one of the first studies paying attention to the barriers to using PPPs for local road development projects
Selection of Socially Responsible Portfolios using Goal Programming and fuzzy technology
Venue: Inf. Sci.
Year: 2012

In this study we present a model for selecting portfolios when an ethical dimension on financial products is considered. We propose a method that can be used to define a measure of the ethical performance of the mutual funds that follow a Socially Responsible Investing (SRI) approach. Such funds would avoid investments in companies that fail to meet certain ethical criteria or would choose to invest in companies whose objectives are seen as ethically desirable. In order to do this, we present an index called 'SRI Attractiveness' that summarizes the 'social, environmental and ethical performance' of each SRI fund for a particular investor. This index relies on an aggregation process and uses Fuzzy Multi Criteria Decision Making techniques. In this approach, the first phase finds a fuzzy number that assesses how the fund fulfills the social attributes according to investors' preferences. In the second one, a normalization process is presented on the basis of the construction of a fuzzy target that takes into account how the investor strictly adheres to the social responsibility criteria. Indeed, the SRI approach also considers conventional financial objectives such as final wealth, net gains, or wealth relative to some benchmark. Therefore, any model of SRI asset allocation should integrate social and financial dimensions. In this paper, the evaluation of the financial criteria has been handled by the Expected Value of final wealth and the Conditional Value at Risk. We use a mathematical programming technique that allows us to work with multiple criteria: Goal Programming models with flexible targets and constraints. A case study on a set of Socially Responsible mutual funds domiciled in the UK is presented to illustrate the applicability of the proposed method.
Towards robust and repeatable sampling methods in eDNA based studies
Venue: Molecular ecology resources
Year: 2018

DNA based techniques are increasingly used for measuring the biodiversity (species presence, identity, abundance and community composition) of terrestrial and aquatic ecosystems. While there are numerous reviews of molecular methods and bioinformatic steps, there has been little consideration of the methods used to collect samples upon which these later steps are based. This represents a critical knowledge gap, as methodologically sound field sampling is the foundation for subsequent analyses. We reviewed field sampling methods used for metabarcoding studies of both terrestrial and freshwater ecosystem biodiversity over a nearly three year period (n 75) We found that 95% (n 71) of these studies used subjective sampling methods and inappropriate field methods and/or failed to provide critical methodological information. It would be possible for researchers to replicate only 5% of the metabarcoding studies in our sample, a poorer level of reproducibility than for ecological studies in general. Our findings suggest greater attention to field sampling methods, and reporting is necessary in eDNA based studies of biodiversity to ensure robust outcomes and future reproducibility. Methods must be fully and accurately reported, and protocols developed that minimize subjectivity. Standardization of sampling protocols would be one way to help to improve reproducibility and have additional benefits in allowing compilation and comparison of data from across studies.
Uncertainty measurement for incomplete interval valued information systems based on a weak similarity
Venue: Knowl. Based Syst.
Year: 2017

Rough set theory is a powerful mathematical tool to deal with uncertainty in data analysis. Interval valued information systems are generalized models of single valued information systems. Recently, uncertainty measures for complete interval valued information systems or complete interval valued decision systems have been developed. However, there are few studies on uncertainty measurements for incomplete interval valued information systems. This paper aims to investigate the uncertainty measures in incomplete interval valued information systems based on an a weak similarity. Firstly, the maximum and the minimum similarity degrees are defined when interval values information systems are incomplete based on the similarity relation. The concept of a weak similarity relation is also defined. Secondly, the rough set model is constructed. Based on this model, accuracy, roughness and approximation accuracy are given to evaluate the uncertainty in incomplete interval valued information systems. Furthermore, experimental analysis shows the effectiveness of the constructed uncertainty measures for incomplete interval valued information systems.