Reviewerly/exHarmony huggingface dataset:
Exploration on the Reform of English Teaching in Universities and Colleges under the Application-oriented Talent Training Mode

With the rapid development of the economy, China’s economic form has also undergone signifcant changes. In this case, the requirements for talents are getting higher and higher. In the process of cultivating talents, schools must constantly change their educational concepts and cultivate more application oriented talents for the society. In this context, the reform of university and college English is of great necessity. Based on the importance of application-oriented talent training, this paper analyzes the current situation of English teaching in universities and colleges under the application-oriented talent training mode, and puts forward some specifc measures for the reform of English teaching in universities and colleges.
PERANCANGAN SYSTEM INFORMASI PENANGANAN KELUHAN KONSUMEN BERBASIS WEB PADA PT. INDUSTIRA BATU CEPER TANGERANG

PT Industira is one of the companies engaged in manufacturing Disassembly power panel (Disribution Board) for TL lamp lighting. To improve costumer service, PT Industira provides Quality Assurance &amp; Customer Service Team Leader (QA &amp; CS TL) as a container to accommodate various complaints handling provided by consumers. Based on the current system obtained the results that the system there are still some disadvantages are all still done manually that need a more accurate new system that is a web-based consumer complaint information system that uses PHP programming with Notepad ++ and MySql database creation. From the process is generated a web-based consumer complaints system that can reduce the ineffectiveness and inefficiency in the delivery of complaints, grievance shelter, data processing complaints, decision makers to the preparation of complaints so that the entire process of handling complaints properly monitored.&#x0D;
Ribelli senza politica. Le vicende di un termine nei dizionari italiani dell’Ottocento

The text examines the different definitions of the term rebellion contained in the Dictionaries of the first part of the nineteenth century, from which emerges a relevant distance from the political meaning assigned to the term itself; the elaboration of a common language of Italians tended to resort, in the case of rebellion, to examples and expressions taken from remote history and religious repertoires, excluding any revolutionary contamination. In this sense, the distance between the Dictionaries and the regulatory codifications established in those years was also evident.
“BEM” An Android Application Model to Enhance Midwifery Students English Speaking Competence

The lack of exposure and practice in learning English due to the short meeting hours is the main factor contributing to the low level of midwifery students’ English-speaking competence in Indonesia. Mobile-Assisted Language Learning can be one of the ways to cope with this problem. A plethora of learning speaking applications is available in the App Store and Play Store. However, midwifery students need more specific English to meet their needs. This study aims at developing a model of android application to enhance the speaking competence of midwifery students and anchors in the instructional design model. The design was in the five stages, namely: Analyze, Design, Develop, Implement, and Evaluate. Twenty-one midwifery students and two experts of material development and information technology were participants for product implementation and evaluation. The researchers obtained the necessary data through observations, questionnaires, and interviews. The finding of this study was that an android application model named BEM (Basic English for Midwives) developed in this study could enhance the midwifery students speaking competence.
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Social psychology and real experiences show that cognitive consistency plays an important role to keep human society in order: if people have a more consistent cognition about their environments, they are more likely to achieve better cooperation. Meanwhile, only cognitive consistency within a neighborhood matters because humans only interact directly with their neighbors. Inspired by these observations, we take the first step to introduce \emph{neighborhood cognitive consistency} (NCC) into multi-agent reinforcement learning (MARL). Our NCC design is quite general and can be easily combined with existing MARL methods. As examples, we propose neighborhood cognition consistent deep Q-learning and Actor-Critic to facilitate large-scale multi-agent cooperations. Extensive experiments on several challenging tasks (i.e., packet routing, wifi configuration, and Google football player control) justify the superior performance of our methods compared with state-of-the-art MARL approaches.
On the Uniqueness of Einstein-Cartan Theory: Lagrangian, Covariant Derivative and Equation of Motion

In the standard Einstein-Cartan theory(EC), matter fields couple to gravitation field through the Minimal Coupling Procedure(MCP), yet leaving the theory an ambiguity: applying MCP to the action or to the equation of motion would lead to different gravitational couplings. We propose a new covariant derivative to remove the ambiguity, then discuss the relation between our proposal and previous treatments on this subject.
Attentive Representation Learning with Adversarial Training for Short Text Clustering

Short text clustering has far-reaching effects on semantic analysis, showing its importance for multiple applications such as corpus summarization and information retrieval. However, it inevitably encounters the severe sparsity of short text representations, making the previous clustering approaches still far from satisfactory. In this paper, we present a novel attentive representation learning model for shot text clustering, wherein cluster-level attention is proposed to capture the correlations between text representations and cluster representations. Relying on this, the representation learning and clustering for short texts are seamlessly integrated into a unified model. To further ensure robust model training for short texts, we apply adversarial training to the unsupervised clustering setting, by injecting perturbations into the cluster representations. The model parameters and perturbations are optimized alternately through a minimax game. Extensive experiments on four real-world short text datasets demonstrate the superiority of the proposed model over several strong competitors, verifying that robust adversarial training yields substantial performance gains.
Cybersecurity for Professional Security Officers

So, one might wonder why professional security officers like me need to know anything about cyberterrorism. How could it possibly matter to my job? How could it make a difference to my performance? And how could it help me protect my client in any meaningful way? We will answer all of those compelling questions in this chapter.
HUMANITY AS A FACILITATIVE CRITERION OF FUTURE SOCIAL PEDAGOGUES’ PROFESSIONAL COMPETENCE

The phenomenology of humanity as a facilitative criterion of future social pedagogues’ professional competence is substantiated in the article. It states theoretically that coherence of social and cultural values and norms in future social pedagogues’ facilitative manifestations determines their professionally important quality - humanity in interpersonal interactions. &nbsp;Professional competence of a future specialist as an integral personality quality reflects the humanistic nature of the pedagogical process. The dynamics of humanity manifestations in facilitative characteristics of future specialists’ professional competence was clarified empirically; the corresponding indicators explicate the internal standards of professional competence, such as altruistically benevolent and altruistically submissive tendencies in interpersonal interactions, and the external standards of professional competence including the selfishly dependent and selfishly adventurous tendencies in interpersonal interactions. The first-year students show mostly altruistically benevolent tendencies in interpersonal interactions; the second-year students have a keen desire to be accepted along with the expressed loyal and sensual personality types, as well as submissive-altruistic tendencies in interpersonal interactions; the third year students show the correlative constellations selfishly dependent tendencies in interpersonal relationships and manifestations of the aggressive and self-confident personality types; the fourth year students show mainly selfish-adventurous tendencies in interpersonal relations and manifestations of the loyal and vigilant personality types. The psychological content of the revealed standards of professional competence demonstrates the polarity of facilitative characteristics: from benevolent and submissive activities aimed at helping other people (for the first and second year students), to passionate desire for changes (for the third and fourth year students). There is the necessity of correctional influence on fixed “selfish” behavioural patterns, caused by the dominant external standards of professional competence. &nbsp
A Pilot Study on the Effect of Massage on Stress among Female Japanese University Students

AimThe majority of previous studies with medical and clinical samples shows an immediate effect of massage on reducing stress.However, there are a few such studies with non-medical and non-clinical samples.The present study examined the stress reduction effect of massage given by same sex peers among university Japanese women. MethodsEleven female university students who belong to the same junior-year seminar class participated in this study.They were paired off and performed back massage each other for approximately 10-minutes as a part of class work.Their stress levels were measured using the saliva amylase monitor kit before the massage, 5, 10, and 15-minutes after the massage.Their levels of dislike of being touched were also assessed by the Touch Hesitation Scale. ResultsResults indicated that the reduction of stress at five minutes after the massage was not statistically significant (Z=-1.05,ns), but the reduction at 10-minutes after massage was statistically significant (Z=-2.00,p=0.045) and at 15-minutes was marginally significant (Z=-1.82,p=0.068).The individual's level of dislike of being touched did not relate to any reduction in their level of stress. ConclusionThe results of this study suggested that casually practiced massage could contribute to women's health by reducing stress.
Automatic Language Identification in Short Utterances

Language Identification (LID) in Natural Language Processing (NLP) is the process of identifying the spoken language in speech utterances. In the last decade, the interest and functional application of speech processing systems have grown exponentially. The proliferated use of handsfree voice-operated devices, speech-to-speech translation systems requires low latency, reliable automatic speech identification systems. This article examines three different models to recognize languages automatically in speech. The first model uses Dynamic Hidden Markov Networks (DHMNet) for LID in utterances. Another model utilizes Deep Neural Network (DNN), and the third uses the recently developed Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN). Finally, comparing three different models, it is shown that a fusion of LSTM RNN and DNN model gives better results than the state-of-the-art models when applied to short utterances.
프랑스어 번역 교육에 병렬코퍼스 활용 방안 - ‘어린왕자’ 병렬코퍼스를 활용한 분석 -

At present, the corpus has entered a period of rapid development, the use of corpus in translation and translation studies is becoming more widespread, but the practical application of corpora in the teaching of translation in the classroom is still late, so we must develop effective methods to expand its application. In addition, there is no large French-Korean parallel corpus yet. The quantity of academic articles on the corpus is also relatively small, which means that the use of the corpus is not widely disseminated in the teaching of French-Korean translation.The corpora can be used not only as a basis of study for linguistics, but also as a new medium for translation and translation teaching. The publication of an article entitled Corpus Linguistics and Translation Studies: Implications and Applications by Mona Baker in 1993 marked the beginning of the research on the use of corpora in translation and translation studies. The study based on the corpus is situated on two levels: on the one hand, the work on corpus, using concordancers, can be conceived as a new method of language teaching and translation. We are talking about learning guided by data. On the other hand, the lexico- grammatical approach makes it possible to reconstruct pedagogical grammar on new bases.Translation based on corpus linguistics can not be understood as a linguistic discipline in the same way as syntax, semantics or pragma linguistics. The corpora contain performance-based data. But it is difficult to imagine real contexts in which a statement could fit. This study is also of interest to contrastivists, because of the diversity of translations. In this study, we will analyze the functions of the phrase-aligned parallel corpus in translation teaching, especially to introduce parallel-based corpus- assisted teaching in the classroom and perform off-class translation exercises.
Between automation and interpretation : Using data visualization in social media analytics companies

This chapter explores the use of data visualizations in social media analytics companies. Drawing on a dataset of ethnographic field notes and thematic interviews in four Finnish social media analytics companies, we argue that data visualizations are crucially involved in how analytics-based knowledge claims become accepted by companies and their clients. Basing on previous research on visualizations in organizations and as a representational practice, we explore their role in social media analytics. We identify three practices of using visualizations, which we have named have simple-boxing, flatter-boxing, and pretty-boxing. We argue that these practices enable analysts to achieve the simultaneous aims of producing credible and valuable analytics in a context marked by high business promises.
An Analysis of Students' Reading Ability in Identifying Generic Structure of News Item Text

This research aims to determine the ability of students to identify the generic structure of the news item text. This research uses a descriptive method. Data is taken through examinations in the form of multiple choice questions. The results showed that the ability of students to identify newsworthy events, event backgrounds and sources of news item texts was at a moderate level. This is evidenced by the percentage of student scores for each of the generic structures is 58.46%, 69, 23% and 61, 54%. Therefore, teachers are advised to discuss more and provide training on generic structure of the news item text. Then, students are advised to study harder to understand and do generic structure exercises from news item text. Furthermore, the next researcher is expected to conduct research related to the problems faced by students in identifying the generic structure of the news item text.
A Case Study of Communicative Language Learning in Teaching Writing in a Rural School Environment

The case study was done at a rural school in Simpang Renggam, Johor. The study aims to identify the effects of using Communicative Language Learning (CLL) on students’ writing skills. CLL is one of the methods commonly used by teachers to teach English at school. This is due to its non-threatening way between the teacher as a counselor and the students as clients. The researchers interviewed the teacher and from the interview, CLL is commonly used. Thus, the researchers also analyzed five essays from each student and identify if they manage to write throughout the whole year of learning using CLL. The results are discussed in the latter section of the paper.
Inferring the Optimal Policy using Markov Chain Monte Carlo

This paper investigates methods for estimating the optimal stochastic control policy for a Markov Decision Process with unknown transition dynamics and an unknown reward function. This form of model-free reinforcement learning comprises many real world systems such as playing video games, simulated control tasks, and real robot locomotion. Existing methods for estimating the optimal stochastic control policy rely on high variance estimates of the policy descent. However, these methods are not guaranteed to find the optimal stochastic policy, and the high variance gradient estimates make convergence unstable. In order to resolve these problems, we propose a technique using Markov Chain Monte Carlo to generate samples from the posterior distribution of the parameters conditioned on being optimal. Our method provably converges to the globally optimal stochastic policy, and empirically similar variance compared to the policy gradient.
Is There a Gap in Canada’s Hate Crime Laws? The Identification Of Soft Violence as a Tool for Current Right-Wing Extremist

&#x0D; &#x0D; &#x0D; Since the beginning of Donald Trump’s campaign for the United States’ presidency, the international community has arguably seen a significant uptick in hate-motivated right-wing extremist (RWE) violence. While this is not the first time that sentiments such as racism, anti- Semitism, and misogyny have gained widespread popularity, it could be argued that the means through which these ideas are being communicated and the ways in which they are being expressed have transformed. One aspect that has not changed is the presence of hate crime in the locations where RWE actors or sentiments are prevalent. These hate crimes can cause fear in the communities that are being targeted by RWE messengers, thereby disrupting community harmony and public safety as a whole.&#x0D; &#x0D; &#x0D;
Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks

In the era of multimedia and Internet, people are eager to obtain information from offline to online. Quick Response (QR) codes and digital watermarks help us access information quickly. However, QR codes look ugly and invisible watermarks can be easily broken in physical photographs. Therefore, this paper proposes a novel method to embed hyperlinks into natural images, making the hyperlinks invisible for human eyes but detectable for mobile devices. Our method is an end-to-end neural network with an encoder to hide information and a decoder to recover information. From original images to physical photographs, camera imaging process will introduce a series of distortion such as noise, blur, and light. To train a robust decoder against the physical distortion from the real world, a distortion network based on 3D rendering is inserted between the encoder and the decoder to simulate the camera imaging process. Besides, in order to maintain the visual attraction of the image with hyperlinks, we propose a loss function based on just noticeable difference (JND) to supervise the training of encoder. Experimental results show that our approach outperforms the previous method in both simulated and real situations.
Artist And Insanity. From Classical Antiquity To The Modern Age

Nowadays the meanings of the concepts ‘artist’ and ‘insanity’ are quite obscure. According to postmodernists, ‘the author is dead’; according to modern psychologists, there are no ‘normal’ people at all. What is more, it is not obvious what kind of person could be considered ‘normal’ and who could be referred to as ‘artist’. The article seeks to examine the correlation between such concepts as ‘artist’ (in broad terms), ‘creation’, and ‘insanity’. The purpose of the article is to reconstruct the evolution of the concepts ‘creation’ and ‘insanity’ in people’s minds from Antiquity to the Modern Age. In Antiquity, the process of creation was related to ecstasy. An artist created a piece in an ecstatic state of mind similar to a temporary frenzy. In the Middle Ages, people expected a divine insight from an ecstatic practice, but not from a creative work. In the Renaissance, a creative state of mind and insanity became absolutely different from each other. They could only have one touch-point: an artist could become insane if he sought help from the Devil. In the Modern Age, there was a slow transition from the faith in the omnipotence of human reason to the acknowledgment that its abilities are limited. In the 20th century, an artist and a madman were considered to have a lot of similarities.
Critical Approaches to Credit-Bearing Information Literacy Courses

"Critical Approaches to Credit-Bearing Information Literacy Courses." Journal of Electronic Resources in Medical Libraries, 16(3-4), pp. 141–142
Driverless Vehicle is Possible by using 5G Technologies

In present, intellects about the 5G new advancement technology of an autonomous vehicle or driverless vehicle, it can drive self from one point ‘A’ to point ‘B’ with no manual input from the driver. Autonomous vehicle are unique embedded controller system driverless, green energy powered, collision protected and GSM guided vehicle. The vehicle using combination of cameras, radar system, sensor, global positioning system and receivers to determine its surrounding and uses. Artificial intelligence to determine quickest and safest path to its destination. Mechatronic unit and actuators allow the brain of the car to accelerate, brake and steer as necessary, stepper motor controlled rotating distance measuring sensor, and speed limit are done accordingly. driverless vehicle are change our life style, next generation of would not need steering wheels, pedals, (or) transmission such cars will potentially reduce accident, increased safety, reduced travel time, automated car parking can drive itself. The driverless vehicle is powered by green energy from a rooftop solarPV panel with battery backup useful audio information also is provided passenger. The vehicle hardware and software, uses sensor to understand around it 360 degree 3D analysis, features and does not need a human help.
Spatial-Frequency Domain Nonlocal Total Variation for Image Denoising

Following the pioneering works of Rudin, Osher and Fatemi on total variation (TV) and of Buades, Coll and Morel on non-local means (NL-means), the last decade has seen a large number of denoising methods mixing these two approaches, starting with the nonlocal total variation (NLTV) model. The present article proposes an analysis of the NLTV model for image denoising as well as a number of improvements, the most important of which being to apply the denoising both in the space domain and in the Fourier domain, in order to exploit the complementarity of the representation of image data in both domains. A local version obtained by a regionwise implementation followed by an aggregation process, called Local Spatial-Frequency NLTV (L- SFNLTV) model, is finally proposed as a new reference algorithm for image denoising among the family of approaches mixing TV and NL operators. The experiments show the great performance of L-SFNLTV, both in terms of image quality and of computational speed, comparing with other recently proposed NLTV-related methods.