Reviewerly/exHarmony huggingface dataset:
Analisis Perbedaan Prestasi Belajar Mahasiswa Fakultas Tarbiyah Dan Ilmu Keguruan (Ftik) Iain Palu Pada Mata Kuliah Evaluasi Pembelajaran Berdasarkan Gender

This study aims to determine the student achievement of male and female students on the subyek Evaluation of learning and to determine of Differences in student achievement FTIK IAIN Palu on the subject evaluastion learning by gender. The approach used is descriptive quantitative. While the population in this study are all students. The sampling technique is done by using proportional random sampling technique. With the number of students 60 people then the sample = 37 students of FTIK IAIN Palu. Technique of collecting data by using test and observation while data analysis using T test.From the research, 1) the average of learning achievement in the subject of male students' learning appraisal from 19 male students who are the sample in this research is 79,42 means good category. Meanwhile, from 18 female students who became the sample of the study, the average of learning achievement in the subject of female students' learning evaluation is 77 means either. 2) There is no significant difference Student Learning Achievement FTIK) IAIN Palu On the subject Evaluation Learning Based on Gender with t value equal to = 0,0267 with t table with dk 35 with error level 5% is 0,062.
An Eye-Tracking Study on the Taboo Censorship in EFL Materials: The Case of Attention and Cognitive Load

ELT publishers and material designers recently excluded “pig-related visuals” in language learning materials which were to be released for Muslim and Jewish learners as well as Islamic markets such as the Middle East and Gulf region (Flood, 2015; Harley, 2015). This study aimed to establish a scientific basis for this marketing strategy in a critical perspective by examining how eye movements and cognitive load were affected by taboo content. Eye movements of 40 Muslim language learners were recorded while they processed a reversed subtitled video containing taboo (pork) visuals. The eye- tracking analysis results showed no observable effect of pork content on revisiting counts and total fixation duration on image and subtitle areas. Similarly, pupillary response analysis also indicated no effect of taboo content on cognitive load. The results were discussed in terms of emotion-attention relationship, intercultural understanding, and transformative role of second language education.
Analisis Penerapan Prinsip Layout, Tipografi, Warna, dan Gambar Pada Sampul Majalah “Dinamika

This study aims to analyze and describe how the cover of the student press magazine "Dinamika" State Islamic University of North Sumatra applies magazine cover design based on the principles of layout, typography, and color selection and images. This study uses a qualitative descriptive method. The subject of this research is the student press magazine "Dinamika" UIN SU edition 29 to edition 50 with a total of 15 magazine covers using purposive sampling technique. The results of this study explain the number of magazine covers that apply the very good category layout principle as many as 5 covers (33%), 5 good (33%), 3 good enough (20%), and 2 cover (14%) less good. The application of the principles of typography in very good categories was 4 covers (27%), 6 good (40%), 1 (6%) good enough, and 4 covers (27%) not good enough. Color selection for very good categories was 7 covers (47%), good 3 (20%), good enough 4 (27%), and less good as many as 1 cover (6%). In the selection of images, there were 3 covers (20%), 6 (40%), 2 (14%) good enough, and 4 (27%) not good. Overall, the results of this study concluded that the quality of the application of the principles of layout, typography, colors, and images on the cover design of the UIN SU student press magazine "Dinamika" was categorized as quite good.
Influencer Pazarlaması Kullanımının Tüketicilerin Satın Alma Niyetine Etkisi: Instagram Influencerları Üzerine Bir Araştırma

Purpose – In this study aims to examine on Instagram, the effect of Instagram influencers’ product or service advertisement on the purchasing intention of consumers. Design/methodology/approach – The study was carried out with 642 participants through a survey. The data were collected by face-to-face and online survey using convenience sampling method. The first part of the research consists of filter and descriptive questions. As a result of filter questions of the survey 272 participants was eleminated. The study was conducted with 370 participants of the survey. The second part of the study is consists of scales adapted from (Keillor and Schaefer, 1997; Ohanian, 1990; Teng et al., 2014). The third part of the study is consists of scales adapted from (Bruner and Kumar, 2000; Evans et al., 2017). The data obtained from a total of 370 survey forms were analyzed by validity and reliability analysis, t-test for gender groups, exploratory factor analysis, linear and hierarchical regression analysis. Findings – According to data obtained, it was seen that the source trustworthiness did not affect the attitude towards advertising but the purchase intention. Source attractiveness was found to affect attitude towards advertising but not to purchase intention. Celebrity-product fit was found to affect both attitude towards advertising and purchasing intention. Argument quality was found to affect both attitude towards advertising and purchase intention. Attitude towards advertisements did not have mediating effect in all variables, but affect the purchase intention. Finally there was no significant difference between male and female genders that could affect the study. Discussion – The study has been conducted on the attitude towards advertisements and purchase intention of the product or service advertisement made by Instagram influencers. Similar research can be conducted to influencers on other social media websites. Similar research, data can be obtained by working with influencers. By comparing influencers with specific number of followers their influence power can be measured. Another similar research is can be conducted in categories such as eatingdrinking, cinema-series etc. by influencers, business, advertisers and various socio-economic consumer groups. In this context, different variables can be added to the research or the study can be repeated with different methods.
Learning Gradual Argumentation Frameworks using Genetic Algorithms.

Gradual argumentation frameworks represent arguments and their relationships in a weighted graph. Their graphical structure and intuitive semantics makes them a potentially interesting tool for interpretable machine learning. It has been noted recently that their mechanics are closely related to neural networks, which allows learning their weights from data by standard deep learning frameworks. As a first proof of concept, we propose a genetic algorithm to simultaneously learn the structure of argumentative classification models. To obtain a well interpretable model, the fitness function balances sparseness and accuracy of the classifier. We discuss our algorithm and present first experimental results on standard benchmarks from the UCI machine learning repository. Our prototype learns argumentative classification models that are comparable to decision trees in terms of learning performance and interpretability.
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss

Neural models trained for next utterance generation in dialogue task learn to mimic the n-gram sequences in the training set with training objectives like negative log-likelihood (NLL) or cross-entropy. Such commonly used training objectives do not foster generating alternate responses to a context. But, the effects of minimizing an alternate training objective that fosters a model to generate alternate response and score it on semantic similarity has not been well studied. We hypothesize that a language generation model can improve on its diversity by learning to generate alternate text during training and minimizing a semantic loss as an auxiliary objective. We explore this idea on two different sized data sets on the task of next utterance generation in goal oriented dialogues. We make two observations (1) minimizing a semantic objective improved diversity in responses in the smaller data set (Frames) but only as-good-as minimizing the NLL in the larger data set (MultiWoZ) (2) large language model embeddings can be more useful as a semantic loss objective than as initialization for token embeddings.
MEMS Operated Automatic Wheelchair

The limitations with ancient wheel chairs chiefly embrace exibility, weight and restricted functions. several developments are created within the field of wheel chair technology; however, these couldn't aid the quadriplegics to navigate severally. Automatic wheel chair victimization MEMS technology enabled the top and neck quality of quadriplegics in a very price effective manner. The position of user’s head is born-again into speed and direction by the system. MEMS detector and PIC controller square measure the most components of the system. The amendment in direction of head is detected by the MEMS detector and corresponding signal is given to microcontroller. The microcontroller controls the wheel chair directions with the assistance of DC motors.
Effect of Facilitating Conditions on Intentions and Actions towards Digital Banking Adoption: A Multivariate Analysis

This research examines the significance of facilitating conditions towards intentions and actions of digital banking adoption in the context of Sri Lankan commercial banks. The sample was drawn from the students of the University of Kelaniya, who possess digital banking facilities. Duly completed questionnaires totalling 268 were considered for data analysis. Unified theory and theory of reasoned action have been adopted and dimensions of the variables were measured by a five-point Likert scale. MANOVA, ANOVA with contrast tests and discriminant function analysis were also used as analysis tools. Empirical evidence supported the hypotheses indicating the significance of facilitating conditions whilst specifying the importance of organizational infrastructure, in particular. Restrained sample selection and following only the quantitative method where limitation of the present study. Nevertheless, finding of the particular importance of organizational infrastructure comprising of institutional structure, practices, processes that significantly affect acceptance of innovative digital advancements by customers, would be beneficial in uplifting the status of digital banking adoption in Sri Lanka amidst the prevalence of the Covid 19 pandemic. Multivariate analysis and incorporation of related models/variables would contribute to the originality of the study. Similarly, future researches could be performed in different contexts viz. country, culture and etc. by integrating interrelated models and variables that elaborate usage and acceptance of innovative technology in view of novel findings.
Analysis of Robustness and Invisibility on a Medical Image Watermarking Algorithm

The present paper extends another different diffusing spectrum hinged technique of image-adaptivewatermarking. Here discriminative implantation ofwatermark issettled in compactfabricated slabs of the image,contingent alongside the individual entropyof the slabs. The unfamiliarity of this practice lies down in thepliability of its power factor that can be altered comfortably in the interest to procureaintegral level of opticalgrade of the watermarkedimage. This variable strength factor (VSF) is calculated using standard deviation ofDiscrete Wavelet Transform (DWT) measure of blocks with elevated entropy. The robustness of this techniqueis verified by studying the relationship between the imperceptibilityof the watermarked image and recovery ofthe watermark for different values of VSF. The invisibility of the received watermarked image is determinedutilizing Peak Signal to Noise Ratio (PSNR) and recovery of the watermark is calculated as Bit Error Rate(BER). The technique may be used for safeguarding the ownership of medical images
Using Case Technology and Project Method in the Process of Studying Professionally Oriented Disciplines

The article presents a lapidary analysis of possibilities of using the case method and the project method in the formation of professional thinking of students studying philology and journalism. We also consider the possibilities of using case technology and project method in the process of studying professionally oriented disciplines. The practical significance of the work comes down to disclosing the effectiveness of the case method and the method of projects in the process of forming professional skills. The relevance of this article is determined by modern realities of educational process at the university. The case method and the method of projects make it possible to increase the motivational component of learning and contribute to the development of teachers’ progressive thinking and students’ creative potential, both of which are necessary for professional activities. In this article we also made an attempt at revealing the essence of these methods in the educational process at bachelor’s level. They turned out to be the main methods for the formation of students’ universal and professional competencies. The project method and case method act as an integral factor in the gamification of educational process contributing to the formation of skills of expedient action, activation of thinking, instilling the skills of independent search for solutions in standard and non-standard situations that may come up in the course of professional activity. Students actively and productively master the necessary competencies while revealing their latent potential. The case method and the project method demonstrate great efficiency in improving the quality of personnel training; the specific types of their practical implementation are developed jointly during classes by university teachers and employers’ representatives. The purpose of the article is to determine the methodological potential of the case method and the method of projects in the formation of professional thinking of future philologists and journalists and to consider the possibilities of using case technology and the project method in the process of studying professionally oriented disciplines. The project method is a relevant and effective technology that significantly increases the level of mastery of educational material, the internal motivation of students and their independence. The case method initiates the development of professional thinking, independence, unconventional thinking and creativity. When faced with a formulated problem, students concentrate on finding a solution to the problem and the teacher’s skillful interpretation of the problem directs students to search for non-standard ways. Everything mentioned above leads to the development of integrative thinking and significantly expands students’ capabilities. The practice of working with the case method and the project method in the classroom confirms their effectiveness in the professional development of university students, expanding their professional horizons and the formation of professional thinking.
Data-Driven Solutions in Smart Cities: The case of Covid-19

This paper aims to give a systemic vision about the data-driven mobile applications in urban data management processes, which is essential to ensure a sustainable smart city ecosystem for what is needed to ensure diversification between stakeholders and data sources. The realization of sustainable data-driven smart solutions based on an urban data platform that will enable citizen wellbeing in the smart city is needed to develop data-driven applications. In this paper, we present five case study mobile applications developed using AppSheet and Google Apps Script technologies to prevent the spread of COVID-19 and provide support to (potentially) infected citizens. Several aspects relevant to coronavirus pandemic are considered: quick COVID-19 patient assessment based on user-provided symptoms integrated with contact tracing;volunteer help during quarantine;UAV-based COVID-19 outdoor safety surveillance;test scheduling and AR-based pharmacy shop assistant. © 2021 ACM.
Research Guides: Student Curated Digital Exhibits: Deleting Items or Pages From Your Exhibit

This guide includes information for students curating digital exhibits using Special Collections materials
When Is A Cyber Incident Likely to Be Litigated and How Much Will It Cost? An Empirical Study

Numerous cyber incidents have shown that there are substantial legal risks associated with these events. However, empirical analysis of the legal aspects of cyber risk is largely missing in the existing literature. Based on a dataset of historical cyber incidents and cyber-related litigation cases, we provide one of the earliest quantitative studies on the likelihood of cyber incidents being litigated and the cost of settling a cyber-related case. Using regression models, we showed that some company and incident characteristics play an important role in determining the litigation probability and settlement costs, and the models proposed in the paper display good explanatory power. Our findings show that the lack of Article III standing is commonplace in cyber-related cases and that solely relying on the common law system makes it difficult for victims of malicious data breaches to sue and receive legal remedies. In addition, we demonstrate that our findings have valuable implications for enterprise risk management in terms of how the legal risk associated with different types of cyber risk should be properly addressed.
Research on Teachers’ Professional Development Based on Vocational English Teaching

With the gradual advancement of public English teaching reform in higher vocational colleges, professional English teaching, as an important part of higher vocational English curriculum, has become a new trend of education development, which needs to be standardized and optimized. This paper introduces the meaning of professional English teaching and the significance of teachers’ professional development, mainly analyzes the current situation of vocational English teaching, and puts forward the development strategies for professional English teachers.
Custom Player Company Logos

This mod changes the standard in-game icon that you have to choose for your own company with real
PEDAGOGICAL FOUNDATIONS OF THE HOLISTIC DEVELOPMENT OF THE PERSONALITY OF THE FUTURE TEACHER IN THE PROCESS OF PROFESSIONAL TRAINING (ON THE EXAMPLE OF COURSES "GENERAL PEDAGOGY")

The article describes the development of the pedagogical foundations of the holistic development of the personality of the future teacher in the process of professional training. Qualitative transformations in all spheres of life of our society, including in the system of education and upbringing, depend on the general cultural and professional level of human development.
The Relationship of Employee Engagement and Job Satisfaction to Organizational Commitment

The startup companies have a limited knowledge of how employee engagement, job satisfaction and organizational commitment are related to each other. The purpose of this quantitative study was to examine if a relationship exists between employee engagement, job satisfaction and organizational commitment within the startup sector. The study considered the Job Demands-Resources (JD-R) model proposed by Demerouti and Bakker (2006) which was published in The Journal of Managerial Psychology. The sample consisted of the 72 participants from the various startups located in the Silicon Valley. The participants were recruited through the researcher’s personal network on LinkedIn. The results of this study showed that there is a significant relationship between employee engagement, employee job satisfaction, and organizational commitment since all the p-values for alpha were less than 0.05. Additionally, the findings indicated that age is not a moderating variable on the relationship between employee engagement, employee job satisfaction and organizational commitment. The implications for positive social change include strategies that are focused on increased employee engagement and job satisfaction, which in turn affects organizational commitment that results in increased profitability.
Green Cloud Computing

Green cloud computing is the emerging technology that offers pay-per-use information and communication technologies (ICT) with reduced carbon footprints. Cloud computing provides a platform to share computing resources instead of having personal devices and local servers to handle applications. It facilitates developers and businesses having access to infrastructure and hardware resources anytime and anywhere they want. This leads to the need for more and more data centers. It becomes the significant factor in maintaining together economic and environment sustainability because the quantity of energy usage by the data centers is increasing disproportionately. This leads to energy consumption and sustainability being one of the primary areas to explore in cloud computing. It is very difficult to compute the quantity of energy use in the real-world cloud computing environment and communications. We discuss the requirement of green cloud computing, its characteristics and methods. We also explain the virtualization technique and its taxonomy. The aim of this chapter is it provide a brief backdrop of live virtual machine migration and presented LVMM as a technique in achieving green cloud computing.
Anomaly Detection Based on Isolated Forests

Anomaly detection plays an important role in big data, which deals with high dimensional data effectively and quickly. In this paper is going to propose an anomaly detection method based on isolated forests. In the proposed method, the original data set is divided into different initial static blocks to calculate the intra-block density and mean density, respectively; after calculating the intra-block density of static blocks, the data set is simplified with the mean density of the original data set as a threshold (delete such blocks with intra-block density which is bigger than the mean density); for blocks with lower intra-block density, we construct isolated forests with the recursive method of nodes; the corresponding features are extracted and normalized to calculate the spatial position distance between the cluster center point and other points; based on density and distance, the anomaly scores are added to compare with the corresponding threshold. This method can effectively improve the accuracy of anomaly detection algorithm, and greatly reduce the actual amount of data in the process of anomaly detection. Furthermore, our method could save a lot of computing resources, and improve the efficiency of anomaly detection, and enhance the robustness of anomaly detection algorithm.