nils-herrmann/clean_scirepeval huggingface dataset:
Novos modelos curriculares para a Educacao Fisica brasileira: resenha do livro "Instructional Models for Physical Education 3a Edicao"

Esta resenha tem como objetivos apresentar e analisar a 3a edicao o livro "Instrucional Models for Physical Education" para a literatura academica brasileira na area da Educacao Fisica. O texto analisado traz como contribuicao apresentar os modelos de instrucao que tem sido amplamente divulgados no ambito da pesquisa e da intervencao internacional, podendo oferecer perspectivas para o contexto nacional.
Low temperature oxidative asphaltenes liquefaction for petrochemicals: fact or fiction?
Venue: Applied Petrochemical Research

Asphaltene is the heavy and heteroatom rich fraction of petroleum that is rejected during a solvent deasphalting process. In patent literature there are claims that state that this material can be converted into an aromatic petrochemical feedstock by oxidative liquefaction at low temperature. To evaluate the validity of these claims, asphaltenes from an industrial solvent deasphalting process were oxidized with dry and water saturated air at temperatures in the range 45 100 degC. Infrared spectroscopy of the oxidized product confirmed that oxygen was incorporated as C=O and C O. Under all experimental conditions studied little oxidative degradation was observed that would lead to the production of a petrochemical feedstock. Nevertheless, some observations of scientific value were made about the low temperature conversion of asphaltenes. During autoxidation with dry air, the n pentane insoluble fraction increased. On the contrary, when oxidation was conducted with water saturated air, the formation of additional n pentane insoluble material was suppressed. Mild heating of asphaltenes under nitrogen atmosphere also caused the n pentane insoluble content to increase. Spectroscopic evidence showed that esters are formed during oxidation at ~100 degC. The temperature dependence of this reaction was explained and a possible reaction pathway for cycloalkane to ester conversion was presented. Ester selectivity was determined by the competition between hydrogen abstraction and b scission of the alkoxy radical.
Language and Gender

The relationships between language and gender are complex. Feminist researchers have importantly documented the ways language reflects, maintains, and even produces gender. This entry describes two issues that have dominated the research. The first is the matter of gender differences in language use. Despite widely held beliefs to the contrary, there is a lack of evidence that women and men use language differently. The second issue is sexism in language. It is now widely accepted that gender in language can reflect sexism. More recently constructionist theories expand the role of language to consider the ways discourse, conceptualized as broader meaning systems, produces beliefs about gender and sexuality.  gender; Gender Difference; sexism
Smart tourism destinations: ecosystems for tourism destination competitiveness

Grounded in service dominant (S D) logic, the purpose of this paper is to explore the core components of smartness to present a framework for the development of the smart tourism destination.  The paper explores the core components of smartness through case study analysis of well established smart cities.  The paper conceptualises smartness and argues ICT, leadership, innovation and social capital supported by human capital are core components of smartness. Although ICT is a critical enabler for smart tourism destinations, it is insufficient on its own to introduce smartness. The combination of hard and soft smartness components within a S D logic ecosystem structure holds the potential for sustained competitive advantage and enhancement of quality of life of both residents and tourists in smart tourism destinations.  The paper extends the application of S D logic to the context of smart tourism destinations, specifically to examine the s.
The Document Components Ontology (DoCO)
Venue: Semantic Web

The availability in machine readable form of descriptions of the structure of documents, as well as of the document discourse (e.g. the scientific discourse within scholarly articles) is crucial for facilitating semantic publishing and the overall comprehension of documents by both users and machines. In this paper we introduce DoCO, the Document Components Ontology, an OWL 2 DL ontology that provides a general purpose structured vocabulary of document elements to describe both structural and rhetorical document components in RDF. In addition to describing the formal description of the ontology, this paper showcases its utility in practice in a variety of our own applications and other activities of the Semantic Publishing community that rely on DoCO to annotate and retrieve document components of scholarly articles.
Loud and proud: Passion and politics in the English Defence League

The book uses interviews, informal conversations and extended observation at EDL events to critically reflect on the gap between the movement's public image and activists' own understandings of it. It details how activists construct the EDL, and themselves, as 'not racist, not violent, just no longer silent' inter alia through the exclusion of Muslims as a possible object of racism on the grounds that they are a religiously not racially defined group. In contrast activists perceive themselves to be 'second class citizens' disadvantaged and discriminated by a 'two tier' justice system that privileges the rights of 'others' This failure to recognise themselves as a privileged white majority explains why ostensibly intimidating EDL street demonstrations marked by racist chanting and nationalistic flag waving are understood by activists as standing 'loud and proud' the only way of 'being heard' in a political system governed by a politics of silencing.
Contextual Weisfeiler Lehman graph kernel for malware detection
Venue: 2016 International Joint Conference on Neural Networks (IJCNN)

In this paper, we propose a novel graph kernel specifically to address a challenging problem in the field of cyber security, namely, malware detection. Previous research has revealed the following: (1) Graph representations of programs are ideally suited for malware detection as they are robust against several attacks, (2) Besides capturing topological neighbourhoods (i.e. structural information) from these graphs it is important to capture the context under which the neighbourhoods are reachable to accurately detect malicious neighbourhoods. We observe that state of the art graph kernels, such as Weisfeiler Lehman kernel (WLK) capture the structural information well but fail to capture contextual information. To address this, we develop the Contextual Weisfeiler Lehman kernel (CWLK) which is capable of capturing both these types of information. We show that for the malware detection problem, CWLK is more expressive and hence more accurate than WLK while maintaining comparable efficiency. Through our largescale experiments with more than 50,000 real world Android apps, we demonstrate that CWLK outperforms two state of the art graph kernels (including WLK) and three malware detection techniques by more than 5.27% and 4.87% F measure, respectively, while maintaining high efficiency. This high accuracy and efficiency make CWLK suitable for large scale real world malware detection.
EP 61. Performing deep brain stimulation and neural recordings at the same target from awake animals: A new bidirectional wireless device
Venue: Clinical Neurophysiology

Although deep brain stimulation (DBS) has been proven to be an effective treatment for several neurological and psychiatric disorders, including Parkinson's disease (PD) dystonia, epilepsy, depression, and obsessive compulsive disorder, the underlying mechanisms are still unknown. This lack of knowledge could be surmounted e.g. by employment of a suitable micro stimulation system adapted for chronic DBS in small laboratory animals. Conventional neural recording systems restrict behavioral experiments to a flat indoor environment compatible with the cable that tethers the subject to the recording instruments. To overcome these constraints, we developed a wireless multi channel system for brain stimulation and neuronal activity recording in freely behaving small animals. This device, which has a size and weight compatible for use in freely moving rats, can be clipped on the animal's head to a previously implanted electrode. This easy "removal" property is crucial because it enables removing or even switching the stimulator/recorder during the experiments without having to anaesthetize or to operate the animal, thus minimizing stress. The device takes extracellular recorded signals from implanted electrodes, amplifies the signals with a programmable gain main amplifier by a factor of 200 to 12800 and transmits the output by radio frequency to a transceiver up to 4 m distance. Comparable to tethered recording systems, our device is working without connection cables, and has a weight of 3.9 g (without accumulator) Stimulation electronics consists essentially of two assemblies: constant current source and power supply. The power supply of the constant current (20 200 mA) source is biphasic, so that a voltage of 6 V is required. This allows effective stimulation and recording of neuronal signals in freely behaving animals. The present study describes the validation and in vivo implementation of this device. Our testing showed that recorded neuronal activities and stimulation of the rat inferior colliculus yields similar results as previously shown by conventional wired devices. Furthermore, the bidirectional wireless device does not restrict the animal's mobility providing a flexible method to control stimulation and neural recording under circumstances where other approaches would be difficult or impossible.
Electropneumatic Cylinder Backstepping Position Controller Design With Real Time Closed Loop Stiffness and Damping Tuning
Venue: IEEE Transactions on Control Systems Technology

This paper develops a backstepping based algorithm to control the position of an electropneumatic actuator while allowing the precise tuning of the closed loop stiffness and damping. The proposed strategy offers an efficient method to choose the controller parameters based on a physical and linear analysis. The strict feedback form of the model, which is required in order to apply the backstepping methodology, is obtained through the use of a transformation of the system's inputs. The proposed multiple input multiple output control law as well as its parameters tuning method are validated experimentally. The experimental results are provided using an innovative test bench combining an electropneumatic cylinder and an electric linear motor. The two main contributions are: 1) the use of a new decoupling transformation to control the system's 2 DOF and 2) the description of a closed loop damping and stiffness tuning strategy. Simultaneous position and stiffness control result in a more precise and adjustable variable stiffness actuator than the simultaneous pneumatic force stiffness control laws generally encountered in the literature. Moreover, a specific study is conducted to clarify the interaction between pneumatic and closed loop stiffnesses in order to combine the advantages of passive and active compliant actuators.
Half step position sensorless control of a Linear Switched Reluctance Motor based on back EMF

This paper presents a position sensorless closed loop control of a switched reluctance linear motor. The aim of the proposed control is to damp the position of the studied motor. Indeed, the position oscillations can harm some applications requiring high position precision. Moreover, they can induce the linear switched reluctance motor to an erratic working. The proposed control solution is based on back Electromotive Forces which give information about the oscillatory behaviour of the studied motor and avoid the use of a cumbersome and expensive position linear sensor. The determination of the designed control law parameters was based on the singular perturbation theory. The efficiency of the proposed control solution was proven by simulations and experimental tests.
Determining optimal pattern sequences for three dimensional structured light sensory systems.
Venue: Applied optics

Structured light (SL) techniques are used for three dimensional (3D) measurements of objects in a wide variety of applications. SL based sensory systems obtain the 3D surface profile of an object from the deformation of light patterns projected onto the object of interest. The number of fringes used in the projected light patterns has a direct effect on the 3D reconstruction errors. This paper presents a novel methodology for determining the optimal sequence of multi fringe patterns that minimizes reconstruction errors caused by random noise. Experiments conducted with a variety of objects as well as a comparison study demonstrate the effectiveness of the proposed methodology.
Sex Differences in

This study suggests that there are sex differences in vocational attitude maturity. In the four school stratified sample of eleventh grade boys and girls studied, the girls scored significantly higher than the boys in vocational attitude. No sex differences in overall level of self esteem, as measured by the Tennessee Self Concept Scale, were found. For both sexes a significant relationship between the over all level of self esteem and vocational attitude maturity was indicated, with the relationship being higher for males than for females. The self concept variables of self satisfaction, family, and moral ethical self were found to contribute to the vocational attitude maturity of males. For females, the self concept variables of identity and moral ethical self contributed to their vocational attitude maturity.
Bodies That Matter On The Discursive Limits Of Sex

bodies that matter on the discursive limits of sex is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the bodies that matter on the discursive limits of sex is universally compatible with any devices to read.
Sex differences in immune responses
Venue: Nature Reviews Immunology

Males and females differ in their immunological responses to foreign and self antigens and show distinctions in innate and adaptive immune responses. Certain immunological sex differences are present throughout life, whereas others are only apparent after puberty and before reproductive senescence, suggesting that both genes and hormones are involved. Furthermore, early environmental exposures influence the microbiome and have sex dependent effects on immune function. Importantly, these sex based immunological differences contribute to variations in the incidence of autoimmune diseases and malignancies, susceptibility to infectious diseases and responses to vaccines in males and females. Here, we discuss these differences and emphasize that sex is a biological variable that should be considered in immunological studies.
Online learning and pricing for demand response in smart distribution networks
Venue: 2016 IEEE Statistical Signal Processing Workshop (SSP)

The problem of online learning of consumer response to retail pricing of electricity in a distribution network is considered. In a two settlement market, the retailer who sets the retail price is exposed to risks from the stochastic response of its consumers and the real time price fluctuation in the wholesale market. The optimal price maximizing the expected profit is a function of consumer's response to prices, and any pricing scheme under unknown demand model accumulates regret measured by the difference between the total expected profit of the retailer under known and unknown demand model. This paper presents an online learning approach to dynamic pricing aimed at minimizing the regret of the retailer for consumers with unknown Markov jumped affine demand. It is shown that the proposed policy has the lowest order of regret growth characterized by the square root of the learning horizon.
Markdown or Everyday Low Price? The Role of Behavioral Motives
Venue: Manag. Sci.

We study a seller's optimal pricing and inventory strategies when behavioral (nonpecuniary) motives affect consumers' purchase decisions. In particular, the seller chooses between two pricing strategies, markdown or everyday low price, and determines the optimal prices and inventory level. Two salient behavioral motives that impact consumers' purchase decisions and the seller's optimal strategies are anticipated regret and misperception of product availability. Regret arises when a consumer initially chooses to wait but encounters stockout later, or when the consumer buys the product at the high price but realizes that the product is still available at the markdown price. In addition, consumers often perceive the product's future availability to be different than its actual availability. We determine and quantify that both regret and availability misperception have significant operational and profit implications for the seller. For example, ignoring these behavioral factors can result in up to 10% profit
The Big Three Perfectionism Scale

This article introduces a new measure of dispositional perfectionism: the Big Three Perfectionism Scale (BTPS) The BTPS assesses three higher order global factors (rigid perfectionism, self critical perfectionism, narcissistic perfectionism) via 10 lower order perfectionism facets (self oriented perfectionism, self worth contingencies, concern over mistakes, doubts about actions, self criticism, socially prescribed perfectionism, other oriented perfectionism, hypercriticism, grandiosity, entitlement) The present investigation examined the structure of the BTPS using exploratory factor analysis in Study 1 (288 undergraduates) and confirmatory factor analyses in Study 2 (352 community adults) and Study 3 (290 undergraduates) Additionally, in Study 3 the relationships among the BTPS, other measures of perfectionism, and the five factor model of personality were investigated. Overall, findings provide first evidence for the reliability and validity of the BTPS as a multidimensional measure of perfectionism.
Enforcement of Employment Rights by EU 8 Migrant Workers in Employment Tribunals

As migrant workers, EU 8 nationals enjoy a right to equal treatment with nationals in respect of their terms and conditions of employment. While some employers have tried to meet their legal obligations towards EU 8 nationals, others have taken advantage of these workers and have denied them their employment rights under UK law. In this paper we explore how EU 8 migrants make use of Employment Tribunals to enforce their employment rights. How many cases do they bring before Employment Tribunals, and what are they about? Are claims brought alone or with support, and if so, from whom? How are EU 8 workers treated once they are before a Tribunal and how successful are their claims? If there is evidence that EU 8 migrants are successfully bringing claims to enforce their employment rights, then fears about undercutting and exploitation of vulnerable workers are perhaps less serious than they would first appear. If they are not, then concerns about (mis)treatment are justified and prompt the further question as to how their rights could be better protected in practice, particularly given the introduction of fees for accessing Employment Tribunals.
Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks
Venue: 2016 IEEE Globecom Workshops (GC Wkshps)

Network traffic analysis is a crucial technique for systematically operating a data center network. Many network management functions rely on exact network traffic information. Although a great number of works to obtain network traffic have been carried out in traditional ISP networks, they cannot be employed effectively in data center networks. Motivated by that, we focus on the problem of network traffic prediction and estimation in data center networks. We involve deep learning techniques in the network traffic prediction and estimation fields, and propose two deep architectures for network traffic prediction and estimation, respectively. We first use a deep architecture to explore the time varying property of network traffic in a data center network, and then propose a novel network traffic prediction approach based on a deep belief network and a logistic regression model. Meanwhile, to deal with the highly ill pose property of network traffic estimation, we further propose a network traffic estimation method using the deep belief network trained by link counts. We validate the effectiveness of our methodologies by real traffic data.
Asymptotically Optimal Sampling Based Algorithms for Topological Motion Planning
Venue: ArXiv

Topological motion planning is a planning problem embedding topological concept of trajectories. In this work, we propose two asymptotically optimal sampling based algorithms for topological motion planning: (a) a batch processing based planner, termed Fast Marching Homology embedded Tree star (FMHT* and (b) an incremental anytime algorithm, termed Rapidly exploring Random Homology embedded Tree star (RRHT* The methods commonly expand a graph directly in the configuration space and project the associated tree onto the topological concept augmented space; the computational cost in edge computation and collision checking is significantly reduced by allowing trajectories with different topology to share the edge and collision information. Illustrative numerical examples are presented to demonstrate the validity and applicability of the proposed approach.
Challenges and policies in Indonesia's energy sector

Fossil fuels are central to Indonesia's energy policy, and its main source of export revenues. However, insufficient investment, the lack of transport infrastructure and an unwieldy regulatory environment are inhibiting the sector from reaching its full potential. Looking ahead, growing environmental concerns combined with sharp falls in coal prices and the on going shale gas revolution call into question the sustainability of an energy strategy based almost exclusively on fossil fuels. This viewpoint challenges Indonesia's current energy policy and proposes ways to increase its energy efficiency and use of renewables. In particular, its gas sector should be further developed to plug the gap until sufficient renewable energy, especially geothermal, comes on line. Government control over the oil industry via state owned Pertamina should be gradually reduced. Clarifying, streamlining and publicising simple regulations in energy, especially regarding land rights and on shore processing, and removing foreign ownership restrictions will help bring much needed investment. The pressure on the environment of natural resource exploitation should also be addressed by properly defining property rights and regulations regarding forest land, and implementing a positive implicit carbon price.