Reviewerly/exHarmony huggingface dataset:
Methodology of studying art: sociology, culturology, and art history

This article describes the capabilities of methodology of studying art in the three interrelated scientific fields &amp;ndash; sociology, culturology, and art history. Emphasis is placed on determination of the key criteria of comprehensive approach towards the analysis of art: each of the three scientific fields may have its own unique criteria for such analysis, but there also universal criteria that allow most fully assessing the essence and purpose of art, considering the general trends of its development in modern reality. The subject of this research is the methodology of comprehensive analysis of art using the instruments of sociology, culturology, and art history. The main conclusions are as follows: 1) disclosure of the content of the methodology of studying art; 2) determination of various criteria for comprehensive analysis of art within the framework of sociology, culturology, and art history; 3) demonstration of capabilities of using certain criteria in analyzing the essence of art and artworks; 4) focus on the social dimension of art, touching upon the heuristic value of the methods of applied sociological research; 5) characteristics of the capabilities of studying the symbolic nature of art in the context of culturology; 6) assessment of the development trends of the methodology of modern art history.
Gender differences in adaptive reactions of students in the development of educational innovations as a factor of sustainable development

The sustainability of the development of society depends and is secure by the safety of health of human capital. The article presents the results of a study of gender differences in adaptive reactions of students in the development of educational innovations using the non-invasive method of heart rate variability. Comparative analysis of heart rate measurements among the surveyed students showed that both boys and girls had tachycardia during the lessons. In boys, an increase in the stress index revealed that was reliably associated with the tension of the parasympathetic system, and in girls - the sympathetic system of autonomic regulation of heart rhythm control. A wide individual range of adaptive reactions of the cardiovascular system of young men and women to the impact of ICT revealed. The data obtained more indicative of biological (sex) differences in adaptive responses in the implementation of information technology in education. Our research has shown gender differences in adaptive responses. We observed a significant correlation between stress and the reaction of the autonomic nervous system. It is necessary to prevent the disturbance of the adaptive of the body. Therefore, we must create a safe environment for the health of students. It is desirable to reduce the time spent in the information space (up to 80 minutes, followed by a break). Since the research conducted on a small sample and one educational institution, it is necessary to research this issue on a larger representative sample.
Sensitivity Based Robust Learning With Sampling In Adversarial Environment

Although Deep Neural Networks achieve excellent results in many applications, their security issue is one of the concerns. Many studies suggest that Deep Neural Networks can be easily misled by adversarial attack. Sensitivity training method enhances the robustness of Deep Neural networks. However, injecting sensitivity samples for all training samples increases the training time significantly. This study investigates whether generating sensitivity samples for all training samples is necessary. A model trained by using sensitivity samples for selected training samples is proposed. The method is evaluated and compared with the traditional one and the adversarial learning method experimentally. The results suggest that the robustness of the models using sensitivity samples for the partial and full training sets is similar. The time complexity of sensitivity training methods can be reduced.
Feasibility of Estimating Concentration Level for not Disturbing Remote Office Workers Based on Kana-Kanji Conversion Confirmation Time

Aiming at reducing distractions of remote office workers while they are concentrating on their work, this study discusses the feasibility of estimating the concentration level of PC users. In particular, it focuses on the kana-kanji conversion confirmation time. Kana-kanji conversion, which is popular input method for Japanese, requires users to confirm that the converted kanji characters are correct. Since distributed cognition is known to increase reaction time, the confirmation time is expected to be affected by the cognitive resource allocated to the text-input task, i.e. the level of concentration on the task at hand. We conducted a set of experiments with six participants. We instructed them to copy kana text by typing and concurrently convert the given kana text into kanji. We set three conditions; Concentration, Dual-task, and Distraction. In the Dual-task condition, we gave an instruction to the participants to listen to the news and count the names of places mentioned in it while performing the main typing task. The Distraction condition was used in the final experiments that were conducted after lunch and light physical exercise for inducing fatigue and drowsiness. The results suggested that the kana-kanji conversion confirmation time statistically increases when a user is less concentrated on a task because of a subtask or some other distraction.
Exploring the Factors Aiding Speech-to-Text Emotional Restoration

In recent years, with the development of artificial intelligence technology, speech recognition technology can perform high-precision interpretation and transcription on voices in various complex environments, improving typing efficiency. However, the text obtained by speech translation is only composed of text and simple punctuation, which hinders the real emotion expression of users. The pale translated text hinders the formation of context, affects the emotional transmission of semantics, and lead to a poor user experience when users communicate with others. Based on user experience and emotion, this article discusses the factors that assist the speech-to-text emotional restoration. Through the qualitative and quantitative study, this research compares four emotional effects of information texts composed by different elements: emoticon, punctuation, interjections, and speech-to-text function of WeChat, and further studies the factors that assist speech-to-text emotion restoration. The research results reveal that emoticon and punctuation have a positive effect on the speech-to-text emotional restoration. The addition of the above two factors can restore the emotional effect of speech in text mode with lower loss, fully improve the user experience in mobile communication, and make the online communication smoother.
Virtual Camera Motion Planning Algorithm Based on Visual Trajectory Guidance

In order to make the virtual camera fit in with the real camera's motion track independently. In this paper, aiming at the problem that the virtual camera is easy to be affected by the three-dimensional (3D) virtual scene, resulting in position conflict, the virtual camera motion planning algorithm based on visual trajectory guidance is proposed to realize the local replanning and dynamic adjustment of the virtual camera trajectory. By introducing the dynamic window (DWA) algorithm, the real camera trajectory is taken as the global trajectory path of the virtual camera, and the global path is taken as the reference trajectory of the DWA evaluation function. Then, combined with the improved evaluation function, the virtual camera motion path is locally re-planned. The direction of the trajectory to be evaluated, the smoothness of the virtual camera motion and the ability of autonomous obstacle avoidance are fully considered in this algorithm, which improves the stability of the direction and the global fit of the virtual camera. The experimental results show that this algorithm can not only make the global motion path of the virtual camera fit the real camera trajectory to the maximum extent, but also can avoid the sudden change of motion path, scene collision and position conflict.
MEDIATING EFFECTS OF EMPLOYEE COMMITMENT IN RELATIONSHIP BETWEEN TOXIC LEADERSHIP AND EMPLOYEES’ PERFORMANCE

Purpose of Study: The study aimed to examine the mediating effects of employee commitment in the relationship between toxic leadership and employee performance in the context of the banking sector, KP, Pakistan. The study is expected to provide significant information to existing knowledge databases about the toxic leaders, organizational commitment, and employees’ performance.&#x0D; Methodology of Study: The cross-sectional design was used to conduct the study by using a 5-point Likert scale through the questionnaire to collect primary data from the high-level managers of selected commercial banks located south region of KP, Pakistan. The sample of 234 employees of both public/private sector banks was taken randomly as the sample. To compute sample, Yamane (1967) formula for selecting sample from finite population: n=population (566), level of significance, e = 0.05 &amp; n=sample size, sample size (n) = N/1+Ne2 = 566/1+566(0.05), 2 = 234.&#x0D; Main Findings: The results of the study revealed that the significant and positive association among the research variables, the significant impact of the predictors on the criterion variable, and the significant partial mediating role of the employee commitment in the relationship between the toxic leadership and employees’ performance.&#x0D; Applications of Study: The current study focuses on examining the role of toxic leadership on employee performance with mediating effect of employee commitment within the banking sector of KP, Pakistan. This study's significance lies in the banking sector, desiring to acquire sustainable competitive advantage through increased employee performance and employee commitment.&#x0D; Novelty/Originality of Study: The expectation that organizational commitment can improve the relationship between toxic leadership and employee performance is missed to a certain extent in the educational context that is expected to offer a new contribution to an existing database of research.
The Smaller the Better? A Study on Acceptance of 3D Display of Exhibits of Museum’s Mobile Media

In the context of the mature development of mobile media and mobile interaction, many museums have built their own mobile media to digitally display their collections, but the user’s acceptance of this mobile media is not known. Based on the interactive attributes and information display attributes of the museum’s mobile collections, this article has compiled a scale to select the most convincing research object from the 204 national first-class museums in China: the Mini Program of the Palace Museum, Digital Forbidden City, and conduct user acceptance research on the 3D display function of its collections. This research is based on the technology acceptance model, adding new influencing factors to obtain a more accurate model for questionnaire surveys, and using the structural equation model to analyze the data. A total of 200 valid questionnaires were collected in this study. The analysis results revealed some problems with the 3D display function of the museum’s mobile collections: high learning costs, poor user interaction experience, and incomplete collection information. The study results have a very novel reference value for museums to improve the 3D display function of the mobile terminal and directly help museums to optimize users’ experience of using mobile terminal media.
Analysis of Encrypted ECG Signal in Steganography Using Wavelet Transforms

The proposed strategy gives the improved verification to secrete data communication through encoded data mask in ECG signals. The Implemented encryption strategy used to scramble the classified information into mixed-up structure and not just upgrades the wellbeing of anonymous carrier data by creating the data distant to some intruder with an random technique. After encryption of message data, the data hider will conceal the mystery data into the ECG signal coefficients. Despite the method, that encryption achieves certain security effects; it marks the mysterious messages indiscernible and unnatural or floating. This framework is yet improved with encode messages utilizing chaos crypto framework. Thereby arising the need for another security approach called reversible data hiding. It is the specialties of secreting the presence of information in another transmission medium to accomplish secrete data correspondence. It does not replace cryptography but instead supports the security utilizing its lack of definition highlights. Here the discrete wavelet transform is utilized to break down an ECG sign to various recurrence subbands. The data concealing method utilizes the LSB substitution algorithm for hiding the mystery message bits into the high recurrence coefficients. In the information extraction module, the secret information will be separated by utilizing pertinent key for selection of the important information. By utilizing the unscrambling keys, separated content information will be decoded from encryption to get the original data.
Conceptual issues of human resources development of higher educational institution

The talent management concept is the most consistent with the task of developing human resources for a higher educational institution. On the basis of the synthesis of theory and practice, the authors have developed a number of practical recommendations aimed at improving the efficiency of the university's human resources management: substantiated the need to create a Coordination Council for the development of the university's human resources; development of the concept of the Center for Personnel Development, designed to provide access to a new level of talent management at the university; the issues that require special attention for the search for management decisions in the field of policy for the development of the university's personnel potential are identified. The current transformations of the domestic system of higher professional education, including the transition to a multilevel model of education, the introduction of new educational standards, the development of innovative methods of organization and management of the educational process, diversification and expansion of educational programs, necessitate strengthening the development of human resources implementation of modernization processes. Thus, the issue of building a management system for the development of higher education staff, which takes into account the specifics of the main categories of employees: teaching staff, scientists and administrative staff. In general, the system of personnel development management as a set of interrelated actions, covering such subsystems as the development of strategies and policies for human resources development, training, work with the human resources reserve, talent management, career planning and support, competence and performance management, requires certain decisions in the field of organizational design. In other words, the effectiveness of the implementation of a systematic approach to the development of human potential of the university depends, among other things, on the degree of rational distribution of areas of responsibility and the performance of relevant functions between its structural units.
A Qualitative Study of Global Design Practices to Build Directions and Opportunities for Indian Social Design

The design industry including design knowledge and practice is constantly evolving itself to fulfill the evolving needs of society in order to deliver a larger social impact. Social design is a field that stresses the positioning, responsibility and collective societal impact of designers and designed products. The underdeveloped and developing world can benefit largely from social design interventions. India is a developing country with social problems like poverty and poor health care—giving a large scope for social design work. However, major development of social design is limited to other countries. A qualitative study was conducted with 14 global design practitioners to understand the social design theory, knowledge and practice existing globally and identify directions and opportunities for the Indian context, by using a cultural lens. The study suggests creating open dialogue, simplifying vocabulary, bias-busting, fostering cross-cultural social design and encouraging mindfulness as the main opportunities. These opportunities can be applied both in social design practice and design education.
Instance Segmentation Based on Improved YOLACT

YOLACT is the first real-time algorithm in instance segmentation. Aiming at the limitations in the algorithm such as low accuracy and poor stability for overlapping objects, an improved instance segmentation approach based on YOLACT was proposed. Specifically, the receptive field block is employed in the backbone network to extract multi-scale local region features, so that the network can learn more discriminative and robust features. To evaluate the validity of algorithm, experiments are performed on Pascal 2012 SBD. The results indicate the improved network can produce finer mask predictions in complex environment while keeping the real-time speed.
Pengaruh Internet Terhadap Hasil Pemberian Tugas Belajar Matematika Sekolah Dasar Se-Kota Metro

One form of technology that is seen as being able to provide an impetus to the world of education is the world of the internet which at this time has become something that is no longer foreign to the community, especially in the world of education. Based on the results of the data analysis that the authors obtained, in this case the authors can conclude as follows: There is a significant influence between the internet on the learning tasks of elementary school students in Kota Metro. By using a db of 4, it can be obtained that the table chi square value for a significant level of 5% is 9.488, and for a significant level of 1% it is 13,227. Thus, at the 1% significant level and at the 5% significance level or 9.488 13,227. It means that the hypothesis (Ha) that the author proposes in this study is accepted and rejects the null hypothesis (Ho). Thus, the authors can conclude that: there is a positive influence of the internet on the learning tasks of elementary school students in Kota Metro.
An improved multi-objective gravitational search algorithm

Abstract Multi-objective search algorithm is a common optimization tool to deal with complex multi-objective problems, such as Multiple Objectives Particle Swarm Optimization (MOPSO) and Non dominated Sorting Genetic Algorithm-II (NSGA-II). Gravitational Search Algorithm (GSA) is a new heuristic evolutionary algorithm, which is based on the Newtonian gravity and the laws of motion to search optimal solutions. Some of agents have bigger mass, so other smaller mass agents are affected easily to fall into local optimization. In order to improve the search ability of the algorithm, this paper proposes an Improved Multi-Objective Gravitational Search Algorithm (IMOGSA). The proposed method uses the fast non-dominated sorting strategy and crowding distance of NSGA-II, and uses Sine Cosine Algorithm (SCA). Using strategy of NSGA-II is to reduce the complexity of the algorithm, in addition, using SCA is to improve the convergence and distribution of IMOGSA by improving the weight of acceleration. Finally, the proposed method has been compared with other well-known heuristic search methods by using some benchmark functions.
The Jaynes–Cummings Model

The simplest model of interaction between a quantized electromagnetic field and an atomic system is a single-mode field interacting with a single two-level atom. This is the exactly solvable Jaynes–Cummings model, which describes this interaction in the rotating wave approximation (RWA). After giving its eigenstates and eigenenergies, this chapter discusses quantum Rabi oscillations, Cummings collapse, and quantum revivals and gives an elementary first introduction to spontaneous emission. It then introduces the idea of repeated measurements, a topic that will be revisited several times in later chapters. Removing then the RWA leads us to the quantum Rabi model, for which we outline the main steps of an exact diagonalization.
Algebraic Expressions with State Constraints for Causal Relations and Data Semantics

This paper deals with algebraic expressions constrained by states for causal relations. Abstracted from procedural and reference data relations, Heyting algebra expressions of some form may be adopted as theoretical basis of a language system with state constrains for data representations. Query operations for such algebraic expressions are presented by 3-valued model theory of algebraic expressions, where the unknown value is available and negatives are used in two ways. Model theory of algebraic expressions is given by both prefixpoint of associated nonmonotonic mappings and predicates of corresponding queries, such that semantics is denotational. As regards state traverses and transitions accompanied by queries at states, algebraic structure is presented in a semiring structure, where alternation for selections of state transitions, and concatenation of state transitions are involved in. Models of algebraic expressions denote queries such that they are organized into sequences on a semiring structure. In terms of model construction and semiring structure, this paper presents data semantics abstracted for state constraint expressions of causal relations.
Generate Personalized Explanations for Recommendation based on Keywords

Explainable recommendation refers to providing users with recommended products and explaining to users the reasons for recommending the products. Recommendation explanations can greatly increase users’ trust and satisfaction with the recommender system, and to a certain extent can assist users make decisions efficiently. The current recommendation explanation is mainly templated sentences although this method is simple and easy to understand, it is relatively rigid, lacks flexibility, insufficient service, and requires a lot of manpower and material resources. Inspired by the above questions, by mining user comment information, we propose a method to generate multiple recommendations based on keywords. First, the keywords in the comment information are extracted through STF-IDF, and then the recommendation explanation is generated through the classic network GRU generated by natural language. Experiments show that our proposed method not only has better recommendation accuracy but is also has a higher quality of recommended interpretation compared to classic methods
A Graph-based Density Peaks Method by Employing Shortest Path for Data Clustering

Data clustering is one of the most important and fundamental tasks of machine learning. Data clustering aims at dividing a set of objects into several groups according to their similarities. In recent years Density Peaks Clustering (DPC) was introduced as a fast and non-iterative clustering method which does not require any previous knowledge about the number of clusters. However, this method suffers from a few shortcomings such as its sensitivity to the user-adjustable parameter, disability to consider data distribution, and inappropriate center selection when facing complex clusters. To overcome these issues, in this paper, a novel density-based peaks clustering method called GDPCS is proposed. By employing the properties of the mutual neighborhood graph and shortest path distance, the proposed method considers the data distribution, present a better shape of clusters, and reduces the clusters' connectivity. To demonstrate the proposed method's effectiveness and superiority, many experiments were performed on both real-world and synthetic datasets. The obtained results show that the proposed method has achieved an acceptable result on imbalanced and complex shaped clusters and can detect more appropriate centers.