Reviewerly/exHarmony huggingface dataset:
X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications

This paper describes our winning system on SemEval 2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts.A replaced token detection pre-trained model is utilized with minorly different task-specific heads for SubTask-A: Multi-class Classification and SubTask-B: Ranking.Incorporating a patternaware ensemble method, our system achieves a 68.90% accuracy score and 0.8070 spearman's rank correlation score surpassing the 2nd place with a large margin by 2.7 and 2.2 percent points for SubTask-A and SubTask-B, respectively.Our approach is simple and easy to implement, and we conducted ablation studies and qualitative and quantitative analyses for the working strategies used in our system.
CardiffNLP-Metaphor at SemEval-2022 Task 2: Targeted Fine-tuning of Transformer-based Language Models for Idiomaticity Detection

This paper describes the experiments ran for SemEval-2022 Task 2, subtask A, zero-shot and one-shot settings for idiomaticity detection.Our main approach is based on fine-tuning transformer-based language models as a baseline to perform binary classification.Our system, CardiffNLP-Metaphor, ranked 8th and 7th (respectively on zero-and one-shot settings on this task.Our main contribution lies in the extensive evaluation of transformer-based language models and various configurations, showing, among others, the potential of large multilingual models over base monolingual models.Moreover, we analyse the impact of various input parameters, which offer interesting insights on how language models work in practice.
ADAPTABILITY AS A FACTOR OF MENTAL HEALTH OF AN ORGANIZATION’S STAFF

The article highlights the importance of individual adaptability aligned with mental health in the workplace. Levels of employees’ personal adaptability were examined and described. The study revealed a set of diagnostic indicators that can indirectly indicate mental health, namely satisfaction with work and its components, levels of emotional burnout and general psychological well-being. The performed correlation analysis indicated positive links between the parameters of adaptability (mental stability, communication and moral norms) and key markers of psychological well-being and job satisfaction (achievements at work, relationships with employees, the level of professional aspirations and professional responsibility). The findings also suggested negative correlations between adoptability and most symptoms of burnout. The mental health of workers with high and normal adaptability was characterized by good professional well-being, interest in work, wide professional responsibilities, professional “inclusion”, emotional and communicative activity, and, at the same time, however, a tendency to burnout; employees with satisfactory adaptability demonstrated emotional burnout, disintegrated psychological well-being, immature professional communications, emotional dissatisfaction with work, dissatisfaction with themselves, emotional and professional helplessness and conformism; employees with low adaptability demonstrated communicative-emotional suggestibility, professional-existential burnout, emotional resistance, external locus of control, integral dissatisfaction with work, emotional exhaustion and emotional-communicative frustration.
Comparison of feature selection method in movie classification utilizing Naïve Bayes classifier

Movies have been currently favored by Indonesians as a means of entertainment medium. Movie fans cover among young adult from all walks of life from young children to the elderly. With the increasing number of fans in Indonesian movies, indirectly encouraging the annual productions of movies. This phenomenon encourages people confusion in watching and preferring about the genre or type of film. Based on this research, it is thus possible to east the problem. This effort assists in grouping or classifying a film. To perform this classification, this study utilizes the Naïve Bayes classification method combining with the selection feature information and the chi square. In this case, the selection of the user features will be compared, which is useful to obtain the best classification value. The results of the classification of films based on synopsis that has the highest results utilize the Naïve Bayes classifier and feature selection of chi square with an accuracy of 90%. The average value of precision is 89%, and the average value of recall is 88%.
“Get Real” Defining, Designing and Executing Virtual Production Curriculum at SCAD

Higher educational programs in Savannah College of Art and Design's (SCAD) School of Digital Media and Entertainment Arts have taken the leap to create a curriculum around virtual production including its adoption of the 40’x20’ LED volume set on SCAD's new 10,000 square feet backlot for the Savannah Film Studios and aggressively including real-time training for its students. In this article, we summarize a new way to define, design and execute virtual production curriculum through lessons learned in its flagship production, “Get Real”.
A Study on the Visual Cognitive Response of Motion Graphic-Based Frame Rate and Motion Blur: Centering on vector graphics

This study conducted a study on visual cognitive response through the step-by-step application of frame rates and motion blur in motion graphics based on vector graphics. As a result of a study focusing on 'comfort' and 'clearness' corresponding to functions, 'sophisticated', 'high-end', and 'vibrant' corresponding to emotions, both functions and emotions showed the highest response at the high-speed frame rate of 60 frames. In Motionblur, the 60th frame showed high response in the 'sophisticated', 'high-end', and 'vibrant' categories, which correspond to sensibility, and especially the 'sophisticated' categories.
AI and Copyright Law

Copyright perspective: Topics like protection under the Software Directive as well as the Database Directive are dealt with in particular. Moreover, aspects of the trade secrecy directive are also touched upon. Centered around the existing human-focused approach, the chapter also seeks to develop new ways to strike the balance between information society needs on the one hand (free access to works) and copyright protection and incentives for AI-created works on the other hand.
Fundamentals of Bayesian Probability

This chapter introduces Bayesian probability and the rules of probability theory, emphasizing that Bayesian probability emerges as the uniquely consistent extension of deductive (Boolean) logic to contexts of uncertainty and incomplete information
A Study on the Theory of the Ascension to the Throne of Cha Kyung-seok in the 1920s

The religious enlightenment and beliefs of a religious leader can cause repercussions and innovations and profound social changes in line with the social zeitgeist. This thesis is intended to analyze the contents of the beliefs and the people''s acceptance by illuminating the religious beliefs of Cha Kyung-seok, the head of Bocheongyo during the Japanese colonial period, which had repercussions in Korea and became a public opinion during the colonial period. The doctrine that was created by the combination of Cha Kyung-seok’s religious beliefs and the people’s acceptance of them is the ‘the theroy of the ascension to the throne of Cha Kyung-seok(Chacheonja Deunggeuk theory)’. The contents of Chacheonja Deunggeuk theory are based on several theoretical points: ‘Jeungsan’s reincarnation’, the creation of a new country by the founder Cha Kyung-seok, and the independence movements against Japanese colonialism. In this paper, I take Jeungsan’s reincarnation theory as a key motive of Cha Kyung-seok’s religious activities and try to delve into its contents. Jeungsan’s reincarnation theory is based on the doctrine of Jeungsan, but the doctrine of the foundation of the country and the contents related to the independence movements differ from Jeungsan’s teaching. Therefore, Chacheonja Deunggeuk theory is the combination of the thought of Jeonggamrok which has flowed into the current of popular thought since the late Joseon Dynasty, Jeungsan’s reincarnation theory, and the theory of the creation of a new country and independence movements by Cha Kyung-seok. Together with the related contents, it caused a great repercussion and rapidly cooled down in colonial Joseon in the 1920s.
The Religions of the Other Represented in the Novels of Annie L. A. Baird

The purpose of this study is to analyze the portrayal of Korean religion in the missionary novels written by Annie Laurie Adams Baird (Ahn Ae-ri, 1864-1916), an early Protestant missionary in Korea. Her novels, published in the 1890s and 1900s, contain detailed descriptions of women''s religious life in the Joseon dynasty. Unlike other missionaries, she wrote “Korean novels” with her excellent Korean language skills. Since she also wrote a novel on Korea in English, we can compare her Korean and English works. Annie Baird represented Korean religion negatively in her novels. In The Story of Old Chang, Korean religions provided excuses for villagers to reject the Gospel. In The Story of Sait Pyul, Shamanism appears as a strong competitor to Christianity. In The Story of Ko Young-gyu, Shamanism was a main religious means for Joseon women’s troublesome life before the introduction of Christianity. The English novel Daybreak in Korea, published in New York in 1909, contains more demonized and exotic images of Korean religions. They were devices in the novels to arouse interest in Korea from American readers. However, since Annie Baird''s novels are based on Korean realities, they have value as a source of information about the religious life of the time. Based on her experience of working closely with Korean women, she provides detailed descriptions of their religious practices.
Personalized Tourist Attraction Recommendation System Using Collaborative Filtering on Tourist Preferences

A recommendation system becomes a good assistant in filtering various information from diverse sources to perform a matching result to users. These systems can provide a list of recommendations personalized to user preferences and needs. Almost any business can benefit from a recommendation system, including the tourism industry. In this paper, A personalized tourist attraction recommendation system (PTARS) based on a collaborative filtering technique is proposed. The research objective is to find the best model to recommend a customized destination to a new target user based on their preferences and behavior by using a user's travel-related data source acquired by an explicit approach. Our research result exhibits that the best similarity measure that yields the most accurate result is Euclidean distance; that calculation was from the top 25 k-neighbor values.
Eye Movement Network from Frontal Eye Field

Enatsu, Rei; Kimura, Yusuke; Yokoyama, Rintaro; Suzuki, Hime; Sasagawa, Ayaka; Hirano, Tsukasa; Arihara, Masayasu; Kuribara, Tomoyoshi; Ochi, Satoko; Mikuni, Nobuhiro Author Information
Data Augmentation for Bayesian Deep Learning

Deep Learning (DL) methods have emerged as one of the most powerful tools for functional approximation and prediction. While the representation properties of DL have been well studied, uncertainty quantification remains challenging and largely unexplored. Data augmentation techniques are a natural approach to provide uncertainty quantification and to incorporate stochastic Monte Carlo search into stochastic gradient descent (SGD) methods. The purpose of our paper is to show that training DL architectures with data augmentation leads to efficiency gains. We use the theory of scale mixtures of normals to derive data augmentation strategies for deep learning. This allows variants of the expectation-maximization and MCMC algorithms to be brought to bear on these high dimensional nonlinear deep learning models. To demonstrate our methodology, we develop data augmentation algorithms for a variety of commonly used activation functions: logit, ReLU, leaky ReLU and SVM. Our methodology is compared to traditional stochastic gradient descent with back-propagation. Our optimization procedure leads to a version of iteratively re-weighted least squares and can be implemented at scale with accelerated linear algebra methods providing substantial improvement in speed. We illustrate our methodology on a number of standard datasets. Finally, we conclude with directions for future research.
Outlier detection of financial high frequency data based on fuzzy clustering algorithm

Abnormal intraday fluctuations in financial markets may be related to major economic events. Therefore, by analyzing the relationship between the anomalies of high-frequency market data and the attributes of market internal events, market participants can have a deeper understanding of the dynamic characteristics of the market. As a new data model, uncertain data is widely used in finance, location-based services, mobile object monitoring, sensor networks and many other types of applications. In fact, cluster analysis is a data processing process, which uses the characteristic attributes between data and adopts some reasonable similarity index to measure, and finally obtains a mathematical classification result. As for the clustering results, we require that the data object gap in the same cluster should be as small as possible, while the data gap in different groups should be as large as possible, while the data gap in different groups be as large as possible. Differences between data objects are usually defined by attributes of data objects, for example, the distance between data can be defined for numeric attributes.
Virtual Reality to Support Inpatient Addiction Treatment: Patients Are Ready, What About Therapists? A Feasibility Study

This study aimed to identify facilitators and barriers for implementation of virtual reality therapy (VRT), used to train communication and problem-solving skills aiding relapse prevention, when integrated with addiction treatment (Treatment as Usual; TAU). Mixed methods were used in an observational, partly prospective, design. A total of 21 therapists and 113 patients from three inpatient addiction clinics were assessed. Therapists filled in questionnaires to gauge expectancies and experiences regarding facilitators and barriers at baseline, after a try-out period, halfway, and at the end of the pilot lasting 6-12 months. They also participated in focus-group interviews. Patients filled in similar questionnaires before an initial, and after they finished a third, VRT session. In addition, nine patients were interviewed. All VRT sessions were logged, with patients answering additional questions. Acceptability of VRT was high in both groups. It was feasible to integrate VRT with TAU and integration showed potential effectiveness. Barriers included incidental motion sickness, technical difficulties, costs, and device setup time. Both therapists and patients advocated VRT use to augment addiction treatment. Findings suggest a clinical effectiveness study is warranted.
A Study on the Influencing Factors of the Teamwork Competency of Police Officials

There is an urgent need to improve teamwork competency that can help police officials respond effectively and quickly to maintain public well-being and order, such as criminal issues, at public safety. However, although teamwork is a very important factor that helps organizational development and effective operation, it is difficult to find such specific studies in the field of criminal justice. This study aims to examines the factors effect the teamwork competency of police officials in a situation where the role of the police in a rapidly changing social environment is expanded and important, and gives policy proposals to improve teamwork through this. Specifically, the purpose of this study is to empirically analyze how much the individual's working environment and degree of communication affect the organization's teamwork competency for police officials. Data were collected, and conducted frequency analysis, correlation analysis, and regression analysis. As a result, it was found that the older the age, the more positive effect was on communication. Also, the better the working environment, and the smoother the communication effect positively on the teamwork of police officials. This study verified that there is a difference in the teamwork of police officials according to the difference in organizational working environment and communication by using empirical research methods. It is expected to revitalize related follow-up studies such as working environment, communication, and teamwork.
A Study on the Objects of The Improper Solicitation and Graft Act

The fact that the scope of the application of the 「Act on the Prohibition of Improper Solicitation and Grafting and Acceptance of Bribery, etc. (hereinafter referred to as the 'Prohibition of Solicitation and Graft Act')」 has been extended to private schools and the media is the biggest trigger for the increase in the controversy over the constitutionality of the Improper Solicitation and Graft Act. .&#x0D; Because the original government draft of the Anti-Graft Act was enacted to correct the absurdity of the public service society, it was applied to ‘public officials who are subject to the National Public Officials Act and the Local Public Officials Act, the heads of public service-related organizations and public institutions, and their executives and employees’. However, in the legislative process, private schools (faculty staff) and media organizations (journalists) were included in the application of the Anti-Graft Act on the grounds that they were public, and the scope of the application was expanded, resulting in greatly restricting the private sector. In addition, the fact that the private sector, which can be said to have a greater public nature than private schools or media institutions, was excluded from the application of the Solicitation and Graft Act cannot but raise an issue in terms of equity.&#x0D; It should be clarified that there are reasonable reasons for treating teachers and journalists of private schools subject to the Anti-Graft Act as public officials, and whether there are reasonable reasons to discriminate them from other private sectors. Imposing a punishment similar to that of a public official on a person in the private realm is against the principle of proportionality between responsibility and punishment. Therefore, the current anti-graft law needs to define the scope of application more justly and precisely.&#x0D; In light of the legislative purpose of the Anti-Graft Act, which is to “enhance transparency in the public service society and ensure fairness in the performance of public office,” it is reasonable to limit the scope of the applicable subjects to public officials and public institutions, and the Constitutional Court on the Expansion of the Applicable Subjects of the Anti-Graft Act In light of the opposing opinion of the decision, the constitutionality of the law may be raised again in the future, and if the problem of expanding the scope of application of the Anti-Graft Act is not improved, the normative power and effectiveness of the Anti-Graft Act will decrease. should be promoted promptly.
Landslide Susceptibility Mapping of Menoreh Mountain Using Logistic Regression

Menoreh mountain is one of the priority areas developed for tourism and to support sustainable development, it must pay attention to disaster aspects, one of which is landslides. The map published by Center for Volcanology and Geological Hazard Mitigation of Indonesia (PVMBG) has a regional scale, so it is necessary to have a more detailed landslide susceptibility map in the Menoreh Mountains. Identification and evaluation of the landslide conditioning factor were done using logistic regression so that the zonation of the probability of landslide susceptibility can be made. The data was used from field observation conducted at 372 locations including 129 locations where landslides occurred and from a local disaster management agency (BPBD) of 200 landslide locations. Significant landslide conditioning factors include slope, lithology, distance to lineaments, distance to river, and distance to road. The research area is divided into three susceptibility zones classified into low landslide susceptibility zone (0-0.33) covering 39.82%, moderate landslide susceptibility zone (0.34-0.66) covering 25.86%, and high landslide susceptibility zone (0.67-1.00) covering 34.31% of the whole area. Analysis using the logistic regression method has a model prediction accuracy rate of 90.5%, which means that it can predict landslide occurrence in the Menoreh Mountains accurately.
A Neural Network Optimization Model-Based Approach to Evaluate the Teaching Effectiveness of English Courses

The improvement of teaching quality is an essential part of modernization of Chinese education, and the scientific, rational and timely improvement of teaching effectiveness assessment plays a key role. The improvement of scientific and timely teaching effectiveness evaluation plays a key role. This paper takes artificial intelligence technology as the leading to address the problem of low accuracy of university English teaching effectiveness evaluation, a evaluation method based on IGA-WNN is proposed. Firstly, an English course teaching evaluation system was established according to the actual teaching situation, and the entropy method (EM) was used to assign weights to the original teaching evaluation effect data, then an English course teaching evaluation model was designed based on wavelet neural network, and an improved genetic algorithm was studied to optimize the wavelet neural network parameters. The experimental results show that the method can evaluate the quality of English teaching more accurately and has a good educational support function.
Design of Distributed Studio System for College English online Courses based on OSI Model: from Data Dissemination to Information Mining

Design of distributed studio system for college English online courses based on the OSI model from data dissemination to information mining is studied in the paper. The structure and decentralized characteristics of the distributed network enhance the flexibility and scalability of the network. When a single node in the network fails, the impact on the overall system is relatively small. Considering these features, the novel distributed studio system considering OSI is designed. The transport layer provides reliable end-to-end, process to process datagram interaction and error recovery to the high level in the network layer. The role of session layer is to establish sessions, manage sessions and terminate sessions when necessary. Then, this structure is applied into the application of the college English online course systems. Through the testing, the data dissemination towards information mining is tested to be efficient.
Example Hardware Features that Support Information Security

Security is a system-wide problem which must include software solutions for update capability and application flexibility. Software security is enhanced in both performance and security when supported by hardware features. This paper proposes hardware characteristics that support software security. These hardware security features are code agnostic and application independent. Example hardware features in the form of hardware components and secure instructions are described. Some example security enhancement implementation features are shown based on MIPS architecture.