nils-herrmann/clean_scirepeval huggingface dataset:
Arabic Part of Speech Tagger, an Approach Based on Neural Network Modelling
Year: 2018

POS tagging gained the interest of researchers in computational linguistics sciences in the recent years. Part of speech tagging systems assign the proper grammatical tag or morpho syntactical category labels automatically to every word in the corpus per its appearance on the text. POS tagging serves as a fundamental and preliminary step in linguistic analysis which can help in developing many natural language processing applications such as: word processing systems, spell checking systems, building dictionaries and in parsing systems. Arabic language gained the interest of researchers which led to increasing demand for Arabic natural language processing systems. Artificial neural networks has been applied in many applications such as speech recognition and part of speech prediction, but it is considered as a new approach in Part of speech tagging. In this research, we developed an Arabic POS tagger using artificial neural network. A corpus of 20,620 words, which were manually assigned to the appropriate tags was developed and used to train the artificial neural network and to test the part of speech tagger systems' overall performance. The accuracy of the developed tagger reaches 89.04% using the testing dataset. While, it reaches 98.94% using the training dataset. By combining the two datasets, the accuracy rate for the whole system is 96.96%
A Critical Analysis of Punishment in Public Goods Games
Venue: 2018 IEEE Conference on Computational Intelligence and Games (CIG)
Year: 2018

Social dilemmas arise whenever individuals must choose between their own self interests or the welfare of a group. Economic games such as Public Goods Games (PGG) provide a framework for studying human behavior in social dilemmas. Cooperators put their self interests aside for the group benefit while defectors free ride by putting their self interests first. Punishment has been shown to be an effective mechanism for countering free riding in both model based and human PGG experiments. But researchers always assume, since this punishment is costly to the punisher, it must be altruistic. In this study we show costly punishment in a PGG has nothing to do with altruism. Replicator dynamics are used to evolve strategies in a PGG. Our results show even a minority of punishers can improve cooperation levels in a population if the cooperators who punish are trustworthy. Finally, we argue punishment as a strategy in social dilemmas is never altruistic.
Bridging organization theory and supply chain management: The case of best value supply chains
Year: 2007

Rivalry is increasingly being contested at the supply chain level of analysis. Rather than competing 'firm versus firm, today's organizations are battling 'supply chain versus supply chain. Within this context, best value supply chains are emerging as a means to create competitive advantages and superior performance. While traditional supply chains often focus primarily on one key outcome such as speed or cost, best value supply chains excel along an array of uniquely integrated priorities cost, quality, speed, and flexibility. We describe how key organizational theories help to distinguish traditional supply chains from best value supply chains. To provide a foundation for future inquiry, we offer theory based research questions that are focused on best value supply chains.
Fixed Point Quantization of Deep Convolutional Networks
Venue: ICML
Year: 2016

In recent years increasingly complex architectures for deep convolution networks (DCNs) have been proposed to boost the performance on image recognition tasks. However, the gains in performance have come at a cost of substantial increase in computation and model storage resources. Fixed point implementation of DCNs has the potential to alleviate some of these complexities and facilitate potential deployment on embedded hardware. In this paper, we propose a quantizer design for fixed point implementation of DCNs. We formulate and solve an optimization problem to identify optimal fixed point bit width allocation across DCN layers. Our experiments show that in comparison to equal bitwidth settings, the fixed point DCNs with optimized bit width allocation offer 20%reduction in the model size without any loss in accuracy on CIFAR 10 benchmark. We also demonstrate that fine tuning can further enhance the accuracy of fixed point DCNs beyond that of the original floating point model. In doing so, we report a new state of the art fixed point performance of 6.78% error rate on CIFAR 10 benchmark.
The Impact of Culture on the Usage of SNS for English Language Learning in Japan
Year: 2018

Like many technologically proficient and wealthy countries, the usage of socialnetworking sites (SNSs) is becoming increasingly popular in Japan. This is especially true among young people who use these services not only for communication but also entertainment through the numerous features they provide like photo editing and adding character figures to video. While Japanese people enjoy using SNSs, some individuals struggle to share personal information due to cultural reasons. For example, many Japanese hesitate to share pictures of trips abroad or even posts written in English as it can be seen as flaunting. This can pose a problem for Japanese students of English, who want to utilize SNS for informal learning. In order to explore this phenomenon, the researcher examined the effect of Japanese culture on SNS usage and its impact on informal English language study. The researcher collected data at two Japanese universities by means of a survey instrument. Four dimensions of culture and SNS usage were explored: (1) self confidence and flaunting, (2) cultural contradictions and tensions, (3) perceived barriers to usage, and (4) perceived advantages of the platform for language learning. The goal of this research was to identify various aspects of cultural tension in SNS usage and utilize this information to reduce barriers to adoption of the medium for English language study.
REM sleep behavior disorder rhythms
Year: 2017

REM sleep behavior disorder (RBD) is an intriguing parasomnia that is characterized by repeated dream enactment associated with increased muscle tone and twitch burst activity in REM sleep. This article explores a unique perspective on the relationship of RBD with various neurophysiological rhythms. We describe the clinical and polysomnographic characteristics of this disorder with diagnostic considerations. Arousal disorders simulating RBD, including Non REM Sleep Arousal Parasomnias, Obstructive Sleep Apnea and Periodic Limb Movement Disorder, are also described. The pathophysiological basis is discussed with reference to the physiological substrates of RBD subtypes. Periodic Leg Movements associated with RBD, Rhythmic Masticatory Muscle Activity (Sleep Bruxism) and Oromandibular Myoclonus Associated with RBD, Rhythmic Movement Disorder associated with RBD, interface of RBD with epileptic abnormalities, and sleep spindles are also elaborated upon. Correspondence to: Muna Irfan, Department of Neurology, Minnesota Regional Sleep Disorders Center and Department of Neurology, University of Minnesota, Hennepin County Medical Center, Minneapolis, USA, E mail: irfan007@umn.edu
Sensor Deployment Recommendation for 3D Fine Grained Air Quality Monitoring Using Semi Supervised Learning
Venue: 2018 IEEE International Conference on Communications (ICC)
Year: 2018

Driven by the increasingly serious air pollution problem, the monitoring of fine grained air quality index (AQI) in urban areas has drawn considerable attention. In this paper, we design a novel algorithm to recommend the placement of sensors for energy efficient AQI monitoring in urban three dimensional (3D) space. Specifically, we first propose an entropy based semi supervised learning (ESSL) model to estimate the AQI distribution of unobserved locations, using the sparse historical spatial temporal data and other features, including 3D coordinates, wind speed and weather conditions. Based on ESSL, we then design an entropy minimization ranking (EMR) algorithm to recommend the best sensor locations for AQI monitoring. Through the emulation on a fine grained AQI dataset, the results demonstrate our scheme can provide energy efficient solutions by using the least number of sensors to achieve higher accuracy than other existing approaches.
Free Vibration and Torsional Buckling Analysis of E Glass/Epoxy Composite Shafts with Polyamide 6,6 (PA 66) Nanofiber Interlayers
Year: 2018

Bu calismada, PA 66 nanofiberlerin dort tabakali cam elyaf/epoksi kompozit saftin serbest titresim ve burulma burkulmasina etkisi numerik olarak incelenmistir. Numerik analizler ANSYS 16.2 sonlu elemanlar programi kullanilarak gerceklestirilmistir. Uc farkli nanofiber alansal yogunlugu (8, 10 and 12 g/m 2 ele alinarak, nanofiber miktarinin titresim frekanslarina ve burulma burkulmasi yukune etkileri ortaya cikarilmistir. Numerik sonuclara gore, PA 66 nanofiberlerin kompozit saftin serbest titresim frekanslarina ve burkulma yukune sirasiyla %10 ve %22 oraninda pozitif etkisi oldugu gozlemlenmistir. PA 66 nanofiberlerin kompozit saftin burulma yukune hasar etkisi onemli bir etkisi gorulmemistir.
Canonical Wnt signalling induces satellite cell proliferation during adult skeletal muscle regeneration
Venue: Journal of Cell Science
Year: 2008

Satellite cells represent the stem cell population of adult skeletal muscle. The molecular mechanisms that control the proliferation of satellite cells are not well understood. In this study, we show that in response to injury, myofibres activate Wnt ligand transcription and activate a reporter cell line that is sensitive to the canonical Wnt signalling pathway. Activated satellite cells on isolated cultured myofibres show robust expression of activated b catenin (Act b Cat) a key downstream transcriptional coactivator of canonical Wnt signalling. We provide evidence that the Wnt family of secreted glycoproteins act on satellite cells in a ligand specific manner. Overexpression of Wnt1, Wnt3a or Wnt5a protein causes a dramatic increase in satellite cell proliferation. By contrast, exposure of satellite cells to Wnt4 or Wnt6 diminishes this process. Moreover, we show that the prolonged satellite cell quiescence induced by inhibitory Wnt is reversible and exposing inhibited satellite cells to stimulatory Wnt signalling restores their proliferation rate. Stimulatory Wnt proteins induce premature satellite cell BrdU incorporation as well as nuclear translocation of Act b Cat. Finally, we provide evidence that the Act b Cat translocation observed in single fibres during in vitro culture also occurs in cases of acute and chronic skeletal muscle regeneration in rodents and humans. We propose that Wnt proteins may be key factors that regulate the rate of satellite cell proliferation on adult muscle fibres during the wound healing response.
Enamel acid etching: a review.
Venue: Compendium of continuing education in dentistry
Year: 2007

Bonding to enamel has over 50 years of history. Efforts have been made to develop or introduce a simplified alternative, but enamel acid etching remains the most effective procedure for stable enamel bonding. Although acid etching is considered the most popular procedure in dentistry, there are characteristics that deserve special attention because of how crucial they can be in many clinical situations. This article reviews some of these aspects of enamel bonding using the acid etching technique.
Deep Multimodal Representation Learning: A Survey
Venue: IEEE Access
Year: 2019

Multimodal representation learning, which aims to narrow the heterogeneity gap among different modalities, plays an indispensable role in the utilization of ubiquitous multimodal data. Due to the powerful representation ability with multiple levels of abstraction, deep learning based multimodal representation learning has attracted much attention in recent years. In this paper, we provided a comprehensive survey on deep multimodal representation learning which has never been concentrated entirely. To facilitate the discussion on how the heterogeneity gap is narrowed, according to the underlying structures in which different modalities are integrated, we category deep multimodal representation learning methods into three frameworks: joint representation, coordinated representation, and encoder decoder. Additionally, we review some typical models in this area ranging from conventional models to newly developed technologies. This paper highlights on the key issues of newly developed technologies, such as encoder decoder model, generative adversarial networks, and attention mechanism in a multimodal representation learning perspective, which, to the best of our knowledge, have never been reviewed previously, even though they have become the major focuses of much contemporary research. For each framework or model, we discuss its basic structure, learning objective, application scenes, key issues, advantages, and disadvantages, such that both novel and experienced researchers can benefit from this survey. Finally, we suggest some important directions for future work.
Multiple functional groups in UiO 66 improve chemical warfare agent simulant degradation.
Venue: Chemical communications
Year: 2019

A library of 26 mixed ligand UiO 66 analogs was synthesized, characterized, and screened for catalytic degradation of the chemical warfare agent (CWA) simulant dimethyl 4 nitrophenylphosphate (DMNP) The MOFs were screened and compared to physical mixtures of the same single component MOFs. Several of the MOFs display higher catalytic activity than the parent UiO 66 and other single ligand UiO 66 analogues.
The Mood of the Golden Age: Paganism, Ecotheology and the Wild Woods in L.M. Montgomery's Anne and Emily Series
Year: 2016

This article discusses the intersection of pagan and Christian allusions in Montgomery's depiction of her heroines' love of nature, contextualising these within the renewed interest in paganism in early twentieth century literature and concentrating particularly on discussions of trees and woods in the Anne and Emily series. It suggests that the attitudes towards nature and God displayed in these works anticipate themes in current ecotheological discourse.
Phrase based image caption generator with hierarchical LSTM network
Venue: Neurocomputing
Year: 2019

Automatic generation of caption to describe the content of an image has been gaining a lot of research interests recently, where most of the existing works treat the image caption as pure sequential data. Natural language, however possess a temporal hierarchy structure, with complex dependencies between each subsequence. In this paper, we propose a phrase based image captioning model using a hierarchical Long Short Term Memory (phi LSTM) architecture to generate image description. In contrast to the conventional solutions that generate caption in a pure sequential manner, phi LSTM decodes image caption from phrase to sentence. It consists of a phrase decoder to decode the noun phrases of variable length, and an abbreviated sentence decoder to decode the abbreviated form of the image description. A complete image caption is formed by combining the generated phrases with sentence during the inference stage. Empirically, our proposed model shows a better or competitive result on the Flickr8k, Flickr30k and MS COCO datasets in comparison to the state of the art models. We also show that our proposed model is able to generate more novel captions (not seen in the training data) which are richer in word contents in all these three datasets.
Why teaching empathy is important for the medical degree.
Year: 2017

Empathy is a basic skill in the exercise of medicine and increases patient and physician satisfaction and improves clinical results. However, the teaching of empathy is poorly covered in the teaching plans. A number of studies have observed a reduction in empathy during the final training courses. The reasons for this decline include, the students' excessive academic workload, the prioritisation of acquiring medical expertise over humanistic knowledge, the patient load in hospitals and health centres and the physicians' need to distance themselves from their patients. Nevertheless, intervention studies through simulation with standardised patients have shown an increase in empathy in students, which can be evaluated through the Jefferson scales: JSE S and JSPPPE. The teaching of empathy to medical students is an important commitment in the curricular programs of medical schools.
EL AJEDREZ COMO HERRAMIENTA PEDAGOGICA PARA EL DESARROLLO DE LA CONCENTRACION DE LOS ESTUDIANTES
Year: 2019

Se presenta una alternativa para contribuir al desarrollo de la concentracion de la atencion, como aporte a la recomendacion de la UNESCO de incorporar el ajedrez como materia educativa en la ensenanza primaria y secundaria. Se trabajo con adolescentes de 8vo. grado de la Unidad Educativa del Milenio "Albertina Rivas Medina" Manabi, Ecuador. La propuesta se concreta en un programa de aprendizaje y practica regular de este deporte con26 alumnos. Se utilizo tiempo curricular en la clase de educacion fisica y extracurricular en clubes formados al efecto, Se aplico un pre experimento que demostro resultados estadisticamente significativos sobre el nivel de concentracion evaluado con el test de Toulouse antes y despues de aplicado el programa: Los resultados demuestran los efectos positivos en la concentracion de la atencion en el 46% de los estudiantes que participaron en la experiencia.  This paper deal about an alternative to development of the concentration of attention, as a contribution to the UNESCO recommendation of incorporating chess as education in primary and secondary education. It worked with adolescents in 8th grade of the Educational Unit "Albertina Rivas Medina" Manabi, Ecuador. The proposal focuses on a program of learning Chess with 26 students. The program used time curriculum of physical education and extracurricular time in clubs of these sport. Experiment showed statistically significant results on the level of concentration evaluated with the test of Toulouse before and after applied the program: the results show positive effects on the concentration of attention on 46% of students that systematized practice.  Chess; learning process; concentration of attention.
Revisiting the relationship between marketing capabilities and firm performance: The moderating role of market orientation, marketing strategy and organisational power
Year: 2016

This study extends original insights of resource advantage theory (Hunt Morgan, 1995) to a specific analysis of the moderators of the capabilities performance relationship such as market orientation, marketing strategy and organisational power. Using established measures and a representative sample of UK firms drawn from Verhoef and Leeflang's data (2009) our study tests new hypotheses to explain how different types of marketing capabilities contribute to firm performance. The application of resource advantage theory advances theorising on both marketing and organisational antecedents of firm performance and the causal mechanisms by which competitive advantage is generated.
Comparison of the lowest order transverse electric (TE1) and transverse magnetic (TEM) modes of the parallel plate waveguide for terahertz pulse applications.
Venue: Optics express
Year: 2009

We present a comprehensive experimental study comparing the propagation characteristics of the virtually unknown TE(1) mode to the well known TEM mode of the parallel plate waveguide (PPWG) for THz pulse applications. We demonstrate that it is possible to overcome the undesirable effects caused by the TE(1) mode's inherent low frequency cutoff, making it a viable THz wave guiding option, and that for certain applications, the TE(1) mode may even be more desirable than the TEM mode. This study presents a whole new dimension to the THz technological capabilities offered by the PPWG, via the possible use of the TE(1) mode.
Waikato Environment for Knowledge Analysis
Year: 2019

The Weka GUI Chooser (class weka.gui.GUIChooser) provides a starting point for launching Weka's main GUI applications and supporting tools. If one prefers a MDI "multiple document interface" appearance, then this is provided by an alternative launcher called "Main" (class weka.gui. The GUI Chooser consists of four buttons one for each of the four major Weka applications and four menus Explorer An environment for exploring data with WEKA (the rest of this documentation deals with this application in more detail) Experimenter An environment for performing experiments and conduct ing statistical tests between learning schemes. KnowledgeFlow This environment supports essentially the same functions as the Explorer but with a drag and drop interface. One advantage is that it supports incremental learning. SimpleCLI Provides a simple command line interface that allows direct execution of WEKA commands for operating systems that do not provide their own command line interface.
Reconfigurable curved metasurface for acoustic cloaking and illusion
Year: 2020

A severe limitation of current acoustic metasurfaces remains in their modest tunability to meet multi frequency requirements and alterable functionalities on demand. Here, a reconfigurable curved acoustic metasurface for acoustic cloaking and illusion is reported. The structure is composed of an array of tunable helical units to break this limitation and realize continuously versatile sound manipulations. We theoretically, numerically and experimentally investigate the channel length represented by the helical depth, which is used to achieve full 2p phase shift continuously over the frequency range from 2 to 7 kHz. As pragmatic examples, we present by full wave numerical simulations the concept of a curved metasurface for the continuously tunable acoustic multifunction, including broadband carpet cloaking and ground illusion at a wide working band. Then, we experimentally demonstrate these functionalities by showing an excellent effect to restore the disturbed reflective field from a cloaked object or to mimic an arbitrary shaped ground.
The effect of the long anchor duration on performance in the temporal bisection procedure
Venue: Behavioural Processes
Year: 2017

The present study investigated how the value of the long anchor duration influences the bisection point (BP) in the temporal bisection procedure. The ratio similarity rule (Gibbon, 1981, On the form and location of the psychometric bisection function for time. ) hypothesizes that the location of the BP is determined by a ratio comparison between the short and long anchor durations. The Short/no short hypothesis (Machado and Keen, 2003, Temporal discrimination in a long operant chamber. Behavioural Processes, 62(1) 157 182) indicates that the location of the BP is influenced mainly by the short duration. Two experiments with pigeons manipulated the long anchor duration while fixing the short anchor duration in a series of anchor pairs. The results showed that the location of the BP depended on the initial training condition, a primacy effect. When the initial training condition used anchors of 3 vs. 9 s, a relatively strong influence of the long anchor duration was observed as predicted by the ratio similarity rule. On the other hand, when anchors were 3 vs. 27 s in the initial training condition, the effect of the long duration was relatively small, conforming more closely to the Short/no short hypothesis. Keypecking to the sample key during a trial, sample cue responding, was also observed. The functions relating sample cue responding to elapsed trial time also indicated the primacy effect.