nils-herrmann/clean_scirepeval huggingface dataset:
Cognitive neurosciences and cognitive translation studies

Cognitive translation studies has made great strides in recent decades. Thediscipline has engaged more deeply with the cognitive sciences, integrating thestudy of mental processes into its understanding of the translation task. Theinformation processing paradigm has been a mainstay of the conceptual frameworkof the cognitive sciences and has also been wholeheartedly adopted bycognitive translation scholars. However, we have really only focused on investigatingtwo of the three "levels" of cognitive information processing identified byMarr (1982) the computational (task) level and the algorithmic/representational(mental processing) level. We are only now just beginning to study the implementationlevel where mental processing during the translation task engageswith neural structures and arrays the domain of cognitive neuroscience. Thischapter investigates some important issues in cognitive translation studies fromthe perspective of the information processing paradigm and the "implementation"level where translation is enacted in neuronal arrays. It also emphasizesnew research directions and points out the potential problems and opportunitiesof collaboration between translation science and cognitive neuroscience.
Facial landmarks detection using 3D constrained local model on mesh manifold
Venue: 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)

This paper proposes a novel 3D Constrained Local Models (CLM) approach applied for the detection of facial landmarks in 3D images. This approach capitalizes on the properties of Independent Component Analysis (ICA) to define appropriate priors of a face Point Distribution Model. Tailored to the mesh manifold modality, this approach address the limitations of the depth images which require pose normalization and suffer from the loss of the shape information caused by 2D projection. We validate this framework through a series of experiments conducted with the public Bosporus database, whereby it demonstrates a competitive performance compared to other state of the art methods.
The genetic architecture of type 2 diabetes
Venue: Nature

The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower frequency variants explain much of the remainder, the GoT2D and T2D GENES consortia performed whole genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large scale sequencing does not support the idea that lower frequency variants have a major role in predisposition to type 2 diabetes.
The Effect of the New Lease Accounting Rules on Profitability Analysis in the Retail Industry

US accounting principles will soon require companies to capitalize operating leases with terms longer than 12 months. The new rules will have a dramatic effect on the reported amounts of assets and liabilities for companies with significant lease commitments. These changes will also impact common profitability measures that use assets as a base to gauge earnings performance. We explore the implications of the new lease rules on the EBIT/Assets ratio, a measure of operating return on assets. We examine 50 firms with the largest operating lease commitments and find that 22 retail and restaurant companies are most affected, as their average ratio declines by over 400 basis points from 15 percent to 11 percent based on a hypothetical discount rate of 6% and a lease term of 10 years. A more comprehensive analysis on a larger group of retailers and restaurants provides additional evidence on just how significantly the new lease rules will impact this ratio. Our findings highlight the importance of understanding the implications of the new lease rules on common methods of financial analysis, particularly when considering those industries that rely heavily on fixed assets like restaurants and retailers.
Evaluation Criteria for Sparse Matrix Storage Formats
Venue: IEEE Transactions on Parallel and Distributed Systems

When authors present new storage formats for sparse matrices, they usually focus mainly on a single evaluation criterion, which is the performance of sparse matrix vector multiplication (SpMV) in FLOPS. Though such an evaluation is essential, it does not allow to directly compare the presented format with its competitors. Moreover, in case that matrices are within an HPC application constructed in different formats, this criterion alone is not sufficient for the key decision whether or not to convert them into the presented format for the SpMV based application phase. We establish ten evaluation criteria for sparse matrix storage formats, discuss their advantages and disadvantages, and provide general suggestions for format authors/evaluators to make their work more valuable for the HPC community.
El patinaje como contenido deportivo para desarrollar el equilibrio y la coordinacion en la escuela

espanolLas capacidades coordinativas presentan su fase sensible antes de la pubertad por lo que la Educacion Fisica realizada en primaria representa el momento optimo para conseguir su maximo desarrollo. El objetivo de la presente experiencia es plantear la introduccion del patinaje en la escuela como elemento para mejorar el equilibrio y la coordinacion, utilizando el juego y situaciones de practica global para el aprendizaje del mismo, ademas de permitir desarrollar las habilidades basicas sobre patines que constituiran la base de aquellas especialidades en las que el equilibrio juega un papel fundamental. Durante las sesiones se realizara una evaluacion continua mediante una lista de control permitiendo controlar el proceso y realizar aquellas modificaciones necesarias para la consecucion de los objetivos. EnglishPeripubertal represents the optimal development period of coordination capacities. The aim of this experience is to incorporate skating in primary scholl to improve balance and coordination, using play as a basic methodology to achieve spontaneous and meaningful actions. Also take place for develop the basic skills required to get you started on those types of sports categories where balance is fundamental. Throughout the sessions there will be continuous assessment using a checklist tailored to the skills each material, and an evaluation scale, are the tools used for the evaluation of the experience.
Deep preferential trade agreements and upgrading in global value chains: the case of Vietnam

How and to what extent can deep preferential trade agreements (PTAs) support the upgrading of companies from developing countries within global value chains (GVCs) This question is of increasing importance, as PTAs have become the trade instrument of choice of major trading powers, and their contents regulate policy areas that could potentially interfere with national development strategies. This study focusses on Vietnam, which aims both at moving beyond low value added production activities in GVCs and increasing economic integration by signing deep PTAs such as the Trans Pacific Partnership and the EU Vietnam Free Trade Agreement. Based on empirical evidence from a new business survey, interviews with stakeholders in Vietnam and the analysis of key PTA provisions, we find that deep PTAs can provide new opportunities for Vietnamese firms to upgrade in GVCs either directly, by providing concrete incentives for upgrading, or indirectly, by addressing some of the identified barriers for upgrading. However, this potential will not materialise automatically and requires both a strategic vision and support programmes initiated by the government and business associations. The findings of this study are relevant not only for Vietnam, but also for a range of other middle income countries that aim at achieving upgrading in GVCs and may face the decision to sign deep PTAs with major trading powers.
Detection and classification of power quality disturbances: Using curvelet transform and support vector machines
Venue: 2016 International Conference on Information Communication and Embedded Systems (ICICES)

Power quality has become prime criteria in modern scenario of power system analysis. PQD effect serious problems in the reliability, security and saving of power system network. In order to improve electric power quality events, we propose a new scheme based on curvelet transform and support vector machine. This article presents a novel approach to recognize and classification of power quality disturbances using Curve let transform and support vector machines. Curve let transform is used to extract features of power quality disturbances and support vector machine (SVM) is used to create a multi class classifier that can classify power quality disturbances according to the extracted features. The objective of this paper is to present a new method for automatically identifying, localizing and classifying various types of power quality disturbances. A variety of transient events, such as voltage sag, swell, interruption, harmonic, transient, sag with harmonic, swell with harmonic, and gleam are tested. Simulation results show that the proposed method can identify and classify different power quality signals, effectively, accurately and reliably, even under noisy conditions and achieve higher identification rate, much better convergence property and less training time compared with the method based on SVM.
Narrative Exemplars and the Celebrity Spokesperson in Lebanese Anti Domestic Violence Public Service Announcements
Venue: Journal of health communication

Domestic violence is a worldwide epidemic. This study examines the effects of narrative exemplars and a celebrity spokesperson in anti domestic violence ads on Lebanese college students' attitudes and beliefs towards domestic violence and whether these effects are impacted by personal experience. The practical significance is derived from the high prevalence of domestic violence internationally, making it important to find ways to effectively use media to address this health related issue that has huge consequences for the individual and society. This study adds to the theoretical understanding of narrative persuasion and media effects. Results indicated that narrative exemplars in anti domestic violence ads promoting bystander awareness and intervention were more beneficial for people without relevant experience compared to people who know someone affected by domestic violence. Anti domestic violence ads without narrative exemplars, but that also featured an emotional self efficacy appeal targeting bystanders, were more effective for participants who know someone who had experienced domestic violence compared to participants without relevant experience. The presence of a celebrity spokesperson elicited more positive attitudes about the ad than a noncelebrity, but failed to directly affect relevant anti domestic violence attitudes or beliefs. These results highlight the significance of formative audience research in health communication message design.
Recruitment of the left precentral gyrus in reading epilepsy: A multimodal neuroimaging study
Venue: Epilepsy Behavior Case Reports

In a previous study, we investigated a 42 year old male patient with primary reading epilepsy using continuous video electroencephalography (EEG) Reading tasks induced left parasagittal spikes with a higher spike frequency when the phonological reading pathway was recruited compared to the lexical one. Here, we seek to localize the epileptogenic focus in the same patient as a function of reading pathway using multimodal neuroimaging.  The participant read irregular words and nonwords presented in a block design paradigm during magnetoencephalography (MEG) functional near infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) recordings, all combined with EEG. Spike analyses from MEG, fNIRS, and fMRI EEGs data revealed an epileptic focus in the left precentral gyrus, and spike localization did not differ in lexical and phonological reading.  This study is the first to investigate ictogenesis in reading epilepsy during both lexical and phonological reading while using three different multimodal neuroimaging techniques. The somatosensory and motor control functions of the left precentral gyrus that are congruently involved in lexical as well as phonological reading can explain the identical spike localization in both reading pathways. The concurrence between our findings in this study and those from our previous one supports the role of the left precentral gyrus in phonological output computation as well as seizure activity in a case of reading epilepsy.
Fast, simultaneous optimization of power amplifier input power and load impedance for power added efficiency and adjacent channel power ratio using the power smith tube
Venue: IEEE Transactions on Aerospace and Electronic Systems

Reconfigurable adaptive amplifiers are expected to be a critical component of future adaptive and cognitive radar transmitters. This paper details an algorithm to simultaneously optimize input power and load reflection coefficient of a power amplifier device to obtain the largest power added efficiency (PAE) possible under a predefined constraint on adjacent channel power ratio (ACPR) The vector based search relies on estimation of the PAE and ACPR gradients in the three dimensional power Smith tube. Accurate convergence to the optimum impedance in the Smith chart is demonstrated in simulation and measurement search experiments requiring between 20 and 60 experimental queries. This paper presents a fast search to jointly optimize the input power level and load impedance. This method is feasible for future implementation in real time reconfigurable power amplifiers.
Analysis of Adjacent Channel Power Ratio Performance in Two Point Modulated Systems
Venue: 2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS)

In this study, the degradation of adjacent channel power ratio (ACPR) performance in personal mobile radio (PMR) systems, which use two point modulation in their phase locked loops (PLLs) is investigated. First an expression for the widths of charge pump pulses, which arise due to imbalanced modulation are found by also taking into account the low pass filtering of the loop. Then the frequency domain representation of charge pump pulses is obtained by Fourier transform. Using this representation and the loop filter response, the spurious signals in the spectrum of the voltage controlled oscillator (VCO) is calculated by using narrowband FM assumption. Evaluating the power of the spectrum within the bandwidth of the adjacent channel, ACPR performance is obtained. A practical setup is constructed to validate the proposed method. Coherence is observed between the measurements of the test setup and expressions obtained in this study.
AC BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification
Venue: ArXiv

Recently deeplearning models have been shown to be capable of making remarkable performance in sentences and documents classification tasks. In this work, we propose a novel framework called AC BLSTM for modeling sentences and documents, which combines the asymmetric convolution neural network (ACNN) with the Bidirectional Long Short Term Memory network (BLSTM) Experiment results demonstrate that our model achieves state of the art results on five tasks, including sentiment analysis, question type classification, and subjectivity classification. In order to further improve the performance of AC BLSTM, we propose a semi supervised learning framework called G AC BLSTM for text classification by combining the generative model with AC BLSTM.
Unicorns in Ancient India and Vedic Ritual

The art of the Indus Valley civilization is famous for diminutive steatite seals representing bull like unicorns. Did such unicorns really exist in ancient India? This question may not receive scholarly attention because most of the archeologists believe that the creatures are mythical. Our recent investigation, however, indicates that a forest animal with a single horn did exist in ancient India. The name of the animal is rsya (rsya in classical Sanskrit) which is mistakenly identified by previous scholars as a male deer or antelope thus blocking the path for further investigation. In order to explain our finding we first carefully observe the artistic representations of the unicorn bull, mainly its single horn, delineated in the seals. Then we will compare the representations with the textual descriptions of the rsya and its horn found in the epics and Buddhist literature. This will be followed by evidence derived from two different unexpected sources, material used for making Vedic ritual implements and the symbolic representation of the bifurcated bovine hoof in ancient Indian art.
Solitons and rouge waves for a generalized (3+1) dimensional variable coefficient Kadomtsev Petviashvili equation in fluid mechanics
Venue: Comput. Math. Appl.

Evolution of the long water waves and small amplitude surface waves with the weak nonlinearity, weak dispersion and weak perturbation in fluid mechanics in three spatial dimensions can be described by a generalized 3 1 dimensional variable coefficient Kadomtsev Petviashvili equation, which is studied in this paper with symbolic computation. Via the truncated Painleve expansion, an auto Backlund transformation is derived, based on which, under certain variable coefficient constraints, one soliton, two soliton, homoclinic breather wave and rouge wave solutions are respectively obtained via the Hirota method. Graphic analysis shows that the soliton propagates with the varying soliton direction. Change of the value of any one of g t m t n t h t q t and l t in the equation can cause the change of the soliton shape, while the soliton amplitude cannot be affected by that change, where g t represents the dispersion, m t and n t respectively stand for the disturbed wave velocities along the y and z directions, h t q t and l t are the perturbed effects, y and z are the scaled spatial coordinates, and t is the temporal coordinate. Soliton direction and type of the interaction between the two solitons can vary with the change of the value of g t while they cannot be affected by m t n t h t q t and l t Homoclinic breather wave and rouge wave are respectively displayed, where the rouge wave comes from the extreme behaviour of the homoclinic breather wave.
Optimizing an Approximation of ROUGE a Problem Reduction Approach to Extractive Multi Document Summarization
Venue: ACL

This paper presents a problem reduction approach to extractive multi document summarization: we propose a reduction to the problem of scoring individual sentences with their ROUGE scores based on supervised learning. For the summarization, we solve an optimization problem where the ROUGE score of the selected summary sentences is maximized. To this end, we derive an approximation of the ROUGE N score of a set of sentences, and define a principled discrete optimization problem for sentence selection. Mathematical and empirical evidence suggests that the sentence selection step is solved almost exactly, thus reducing the problem to the sentence scoring task. We perform a detailed experimental evaluation on two DUC datasets to demonstrate the validity of our approach.
Mask induced best focus shifts in deep ultraviolet and extreme ultraviolet lithography

The mask plays a significant role as an active optical element in lithography, for both deep ultraviolet (DUV) and extreme ultraviolet (EUV) lithography. Mask induced and feature dependent shifts of the best focus position and other aberration like effects were reported both for DUV immersion and for EUV lithography. We employ rigorous computation of light diffraction from lithographic masks in combination with aerial image simulation to study the root causes of these effects and their dependencies from mask and optical system parameters. Special emphasis is put on the comparison of transmission masks for DUV lithography and reflective masks for EUV lithography, respectively. Several strategies to compensate the mask induced phase effects are discussed.
The behavioral responses to perceived scarcity the case of fast fashion

The literature on scarcity has generally examined consumers' attitudes towards scarce products and suggested that scarcity messages have a positive effect on the evaluation of and attitude toward the scarce object. However, literature has largely failed to explain consumers' feelings or reactions to human controlled scarce environments. This study examines how deliberate product scarcity influences the consumers' behavioral responses, and provides an understanding of consumers' reactions to conditions of scarcity that are strategically created by marketers. The context of this study is fast fashion retailers, as they are known to create extreme human induced scarcity. We conducted 21 face to face interviews with fast fashion store managers, consumers, and an industry expert. Further, observational research was also conducted to observe the consumer buying behavior across 10 different fast fashion stores. The objectives were to (1) help the interviewees think about the various strategies adopted to induce scarcity within the stores (from retailer's perspective) (2) understanding of scarcity in these stores (from consumer's perspective) and (3) consumers' responses to such deliberate manipulations. All the interviewees agreed that fast fashion stores were successful in creating perceived scarcity which reflected both limited merchandise supply as well as deliberate manipulation of merchandise availability by the retailer. The findings also suggest that consumers in these perceived scarcity conditions exhibit buying behavior like urgency to buy, which further leads to deviant and competitive behaviors like in store hoarding and in store hiding. Though perceived scarcity, urgency to buy, and in store hoarding was consistent across the interviews with store managers and consumers, surprisingly, the phenomenon of in store hiding behavior did not emerge from any of the interviews conducted with store managers, but was a consistent theme across most consumer interviews.