Reviewerly/exHarmony huggingface dataset:
Higher School Faculty Staff in the Era of Digitization: Teaching's Activities Transformation and Problems of Professional Adaptation

This article is devoted to the study of the higher educational institutions teachers’ professional adaptation problem in the context of digitalization. The purpose of this research is to analyze the main changes in the higher education staff’s professional activities due to the digitalization of education, as well as the problems of a university’ staff adaptation to these changes. The relevance of the study is justified by the fact that the effectiveness of the implementation of information and digital technologies in the educational process largely depends on the success of the university staff’s professional adaptation. The main methods of empirical research were students’ questioning and semi-formalized interviews with the university staff. The study was carried out on the basis of Khakass State University in 2019 with the financial support of the Russian Foundation for Basic Research as part of scientific project No. 18-011-00681 A. 500 students and 39 teachers were interviewed (N = 539). The study has found that teaching in digitalization is experiencing a serious sociocultural transformation in addition to technological changes. Information and digital technologies form new principles for organizing the educational process, new forms of teacher communication with students and colleagues, new sociocultural environment of the university and, ultimately, a new role for the teacher in modern education. The study revealed that the digitalization of education entailed significant changes in all types of a university staff’s professional activities — pedagogical, scientific and scientific-methodological. The main difficulties in the university staff’s professional adaptation are associated with insufficient material and technical equipment of universities, constantly increasing actual load, low level of information culture and computer literacy. As a result of the study, it was found that university staff misunderstands the very phenomenon of education digitalization, referring to informatization and computerization, that, of course, prevents the successful implementation and effective use of digital technologies in education.&#x0D; Keywords: teacher of higher education, digitalization of education, professional adaptation of teachers
Using the Project Method during the Graphic Training of Future Computer Science Teachers

In view of the modern prospects of technological development, the role of a computer science teacher in providing comprehensive and competitive training to students of higher education institutions should not be underrated.As long as graphic technology constitutes, an essential part of every day changing information environment, graphic training must be paid, especially great attention and the methods for its performance must be thought-through deeply enough.The task of higher education institutions is not only to form the knowledge of the basic rules of performing graphic documents for future specialists but also to teach them how to use their knowledge for rational perception and transformation of the surrounding technology-related environment.The experience of the conducted research proved that an effective tool for the implementation of this goal is the use of the project method in the educational process, which in turn makes it necessary to justify the method of its use.This study revealed the features of using the project method at various stages of forming graphic concepts in the process of professional training of future computer science teachers.It is possible to conclude that in the project activity combined with the tasks of graphic training, future teachers of computer science comprehend the entire technology of solving problems from the problem statement to the presentation of the result.
Non-Parametric Adaptive Network Pruning

Popular network pruning algorithms reduce redundant information by optimizinghand-crafted parametric models, and may cause suboptimal performance and longtime in selecting filters. We innovatively introduce non-parametric modeling tosimplify the algorithm design, resulting in an automatic and efficient pruningapproach called EPruner. Inspired by the face recognition community, we use amessage passing algorithm Affinity Propagation on the weight matrices to obtainan adaptive number of exemplars, which then act as the preserved filters.EPruner breaks the dependency on the training data in determining theimportant filters and allows the CPU implementation in seconds, an order ofmagnitude faster than GPU based SOTAs. Moreover, we show that the weights ofexemplars provide a better initialization for the fine-tuning. On VGGNet-16,EPruner achieves a 76.34%-FLOPs reduction by removing 88.80% parameters, with0.06% accuracy improvement on CIFAR-10. In ResNet-152, EPruner achieves a65.12%-FLOPs reduction by removing 64.18% parameters, with only 0.71% top-5accuracy loss on ILSVRC-2012. Code can be available athttps://github.com/lmbxmu/EPruner.
Low light and over exposed Image Enhancement using Weight Matrix Technique

Due to the low exposure, the low light pictures aren't so conductive to human observation and computer vision algorithm.Though many image improvement techniques are planned to unravel this drawback, existing ways ultimately introduce under and over improvement of contrast.This paper recommends an image contrast algorithm to produce a certain improvement of contrast.Specifically, the weight matrix for image fusion using illumination estimation techniques is designed.Then algorithm tend to introduce camera response model to synthesize multi-exposure pictures.Next, algorithm tend to find the most effective exposure ratio so the artificial image is well-exposed within the regions wherever the first image under-exposed.Finally, the input image and the artificial image are fused according to the weight matrix to get the improvement result.Experiments show that this methodology gets results with less contrast and lightness distortion compared to that of many state-of-the-art methods.The proposed algorithm also preserves the information content by reducing the overexposure and gives the best results in terms of processing time.
Feature Set Reduction for Source Camera Identification Using Demosaicing and Wavelet-based Features

Recent research work done in Camera Forensic Techniques have exhibited excellent results by merging several modern methods of Source Camera Identification, thereby creating a large feature set.Increasing the feature set can also contribute to higher computational time, complexity and error rates due to use of redundant features.The work exhibited in this paper shows that it is possible to optimize the feature set size to 16, while maintaining the results as those obtained by state-of-the-art techniques.The statistical features extracted from images are based on demosaicing algorithm and wavelet transform.First, the proposed statistical equations were used to formulate 4 features based on periodic characteristics shown by demosaicing.Then, the image matrices were transformed by 1-Level wavelet decomposition and 16 features were extracted from obtained co-occurrence matrices.After further optimization, it was found that classification model trained using 16 features had the highest average accuracy of 99.2%.Thus, the final optimized feature set size was reduced to 16 features from 20 features for identifying images from 10 camera models.
AI-based Strategic Marketing: SMAI Model

One of the important factors that play a vital role in the success of a business is marketing.Marketing has seen multiple changes throughout the decades in the Definition, Organization, and Implementation processes.With the advent of technology, especially Artificial intelligence many sectors underwent a great amount of transformation to get themselves equipped with the latest technological innovations.The business sector was also on the same lines with other sectors in this period of change.Marketing being a very theoretical and humanized concept it was pretty hard at first to incorporate changes accordingly.Later the scope for marketing enlarged and it slowly started making an entrance into inculcating the latest technologies.In this paper, the researcher studies the particularities of marketing and its integration with artificial intelligence, providently proposing a machine learning-based model (SMAI) involving strategic marketing decision making.
Academic Social Networking Sites: An Evaluation exploratory study

Academic social networking sites ASNs are a class of sites that seek to create a series of scientific and academic groupings and the formation of relationships between members with respect to research interests and intertwining tendencies of scientific publishing processes as a means for this. Social networks have affected the way we get to the latest articles and scientific outputs, as well as to To generate links and links between researchers and scientists, and the purpose of this study is to compare five of the most popular academic social networking sites (Research Portal, Academia.edu, Mendeley, Orcid, and Zotero) based on this with a preparation and design with me to evaluate sites Subject of study. The list includes 201 sub criteria distributed into 12 main categories. The study concluded that the study sites lack the navigation and navigation services, filtering services, filtering results, and search and browsing features, as is the case in most sites in the study that do not provide all the fields of research, and they do not complete the features of displaying data so that these sites do not provide all categories of content for download Moreover, none of the sites are given alternative measurements and sufficient analytical features, as well to this, the beneficiaries' interface for these sites needs to be improved to attract their users, which use the sites The sites lack text display features, and you cannot use by renewing the privacy settings, study sites Offer the lowest possible services to the users.
PENGARUH SISTEM INFORMASI MANAJEMEN LINGKUNGAN TERHADAP GOOD GOVERMENT GOVERNANCE

An Environmental Management Information System is an information system that produces outputs using inputs that can process all the information needed to meet the organization's objectives for management activities. A good Environmental Management Information System is able to balance the costs and benefits to be gained, meaning an environmental management information system that will save costs, increase revenue that arises from very useful information. The organization must realize that meticulous technology can design and implement an environmental management information system to suit its desires in determining cost limits from the point of benefit to be obtained, then the resulting Environmental Management Information System will provide benefits and money. Integrated and flexible information technology is an environmental management information system tool, in information processing in order to design an environmental management information system that is able to serve the main task. The purpose of the environmental management information system is to meet the general information needs of all managers in the company or within the organizational subunits of the company. The environmental management information system provides users with information in the form of reports and outputs from various mathematical simulation models. The results of this study indicate that the environmental management information system can provide good or bad changes in Good Government Governance that are managed by the company. This research was conducted at PT Bukit Asam Indonesia located in South Sumatra.&#x0D; Keywords: Environmental Management Information System, Good Government Governance
Overcoming Robocalls: How to Increase Customer Response Rates with Text Messaging

Our society has long known about the annoying call habits of telemarketers. Some of these telemarketers are trying to make an honest day’s wages, while ...
Intellectualization of Educational Resources and Analysis of Students’ Training

The study focuses on the innovative approach of intellectualization of the educational methodical materials with the development of an intellectual card of the lecture, which presents its main components, combines them with each other in the order of teaching, and presents all in graphical form as a conspectus of the lecture.It is concluded that functioning of the created system "Quality -Graduate" provides qualitative teaching of all disciplines of educational programs; effective control of the level of accumulation, assimilation and acquisition of knowledge in terms of the ability to use the material; involvement of students in scientific activity; education of future graduates in terms of understanding the social significance of their profession and in terms of human values and patriotism, dedication and understanding the need for a permanent increase their knowledge and skills through individual work for the whole active life, in other words, education of students as individuals.Application of the intellectualization of educational materials and analysis of the quality of student training provides raising the requirements for specialists of different levels, helps to identify the hidden opportunities of students, maximizes the use of their ability to adapt to the modern requirements of life, and intellectualize the processes of formation of modern man as a specialist and an active member of civil society.
Forecasting Stock Prices of PT. Bank Negara Indonesia (Persero) Tbk., by Method (BOX-JENKINS)

The purpose of this study is to find the most appropriate model for predicting future stock prices, and the analytical tool used is ARIMA. In this study, the authors used the time series data of the share price of PT BNI (Persero) Tbk. from January 3, 2017, to June 28, 2019, consisting of 594 working days from the Investing.com database. The research found that the ARIMA model analysis (3,1,3) is the most appropriate model for predicting the share price of PT. Bank Negara Indonesia (Persero) Tbk, with the equation model: Yt = - 6.331988 + 1.714721Yt-1 - 0.149406 Yt-2 - 1.72221 Y t-3 + 0.858083 Yt-4 + 0.729283 t-1 - 0.845787 t-2 - 0.898101 t-3.
Evolving Musical Sight Reading Exercises Using Expert Models

Sight reading skills are widely considered to be crucial for all musicians. However, given that sight reading involves playing sheet music without having seen it before, once an exercise has been completed by a student it can no longer be used as a sight reading exercise for them. In this paper we present a novel evolutionary algorithm for generating musical sight reading exercises in the Western art music tradition. Using models based on expert examples, the algorithm generates material suitable for practice which is both technically appropriate and aesthetically pleasing with respect to an instrument and difficulty level. This overcomes the resource constraint in using traditional practice exercises, which are exhausted quickly by students and teachers due to their limited quantity.
A Sociolinguistics of Code Mixing and Code Switching Between English and Indonesian Language at STKIP PGRI Sidoarjo

This study was aimed to analyze Code Mixing and Code Switching between English and Indonesian Language Done by the Lecturer of Advance English Grammar Subject at the 5th Semester Students of STKIP PGRI Sidoarjo. The study was designed in the form of qualitative descriptive study. The subjects in this study were the lecturer in the 5th semester of students of STKIP PGRI Sidoarjo who teaches the Advance English Grammar subject. The data were collected by using the methods of recording and writing on note of what lecturer said in teaching learning process, then collected it and classified based on grammatical aspect of code mixing, code switching, sociolinguistic aspect, and the function (phatic function) of code mixing and code switching. A grammatical focused on the structural aspect of code mixing and code switching. While, a sociolinguistic approach was concerned with the role of social factors of code mixing and code switching. The result of this research showed that the grammatical aspect of code mixing and code switching are extra-sentential/tag mixing and switching, inter-sentential mixing and switching, and intra word of code mixing and code switching. Sociolinguistic aspects of code switching are situational and metaphorical switching. The functions of code switching were referential function, directive function, phatic function and metalinguistic function. But this study only focused on phatic function to clarify or emphasize a message. The achievement of this research can be used to make easier in teaching foreign language and can be used as additional source and also can develop code mixing and code switching field in the next research.&#x0D;
Online concept drift detection, localization andcharacterization using trace clustering

Most process mining techniques assume stationary processes and are not well equipped to deal with concept drift. Online detection, localization and characterization of concept drift in business processes can support process mining techniques and analysts to improve organizations flexibility and adaptability. In this research, we propose a method to detect, locate and characterize concept drift in an online setting using trace clustering. The hypothesis is that the method can benefit from the trace clustering capacity to simplify complex problems through grouping similar patterns. In preliminary experiments, trace clustering was performed in a windowing setting showing that concept drift can be detected by analyzing the variation of clustering over time.
Human Resource Competence and Its Impact on Proactive Behavior in Jordanian Commercial Services Companies

The study aimed to identify the impact of human resource competencies on proactive behavior in Jordanian commercial services companies. The study adopted three dimensions of human resource competencies: knowledge, skills, and attitudes. The study population consisted of (182) managers in Jordanian commercial services companies. The study adopted a comprehensive survey method for managers and (130) questionnaires were obtained, for which the study was conducted. A set of statistical methods were used to analyze the study data, the most important of which is the multiple regression coefficient.&#x0D; &#x0D; The study found that there are high levels of the dimensions of human resource competencies, and the level of proactive behavior was high. There is a significant impact of human resource competencies on proactive behavior.
A short Note on Gesture system

Gesture recognition may be a topic in engineering and language technology with the goal of decoding human gestures via mathematical algorithms. Gestures will originate from any bodily motion or state however usually originates from the face or hand. Current focuses within the field embody feeling recognition from face and hand gesture recognition. Users will use straightforward gestures to regulate or act with devices while not physically touching them. Several approaches are created exploitation cameras and pc vision algorithms to interpret language. However, the identification and recognition of posture, gait, proxemics, and human behaviors is additionally the topic of gesture recognition techniques.
Crowd Counting Based on Multiresolution Density Map and Parallel Dilated Convolution

The current crowd counting tasks rely on a fully convolutional network to generate a density map that can achieve good performance. However, due to the crowd occlusion and perspective distortion in the image, the directly generated density map usually neglects the scale information and spatial contact information. To solve it, we proposed MDPDNet (Multiresolution Density maps and Parallel Dilated convolutions’ Network) to reduce the influence of occlusion and distortion on crowd estimation. This network is composed of two modules: (1) the parallel dilated convolution module (PDM) that combines three dilated convolutions in parallel to obtain the deep features on the larger receptive field with fewer parameters while reducing the loss of multiscale information; (2) the multiresolution density map module (MDM) that contains three-branch networks for extracting spatial contact information on three different low-resolution density maps as the feature input of the final crowd density map. Experiments show that MDPDNet achieved excellent results on three mainstream datasets (ShanghaiTech, UCF_CC_50, and UCF-QNRF).
EXPERIMENTAL VERIFICATION OF THE EFFICIENCY OF PEDAGOGICAL CONDITIONS FOR INTENSIFYING THE EDUCATIONAL ACTIVITY OF FUTURE TEACHERS-ENGINEERS OF COMPUTER PROFILE IN PROFESSIONAL TRAINING

Responding to identified shortcomings is components of the internal quality assurance system of a higher education institution. A study of the educational activities of future teachers-engineers of computer profile found that most students are not going to devote their career to teaching, thus preferring engineering. Undoubt- edly, higher education institutions must respond to the requests of stakeholders, especially those seeking higher education. On the other hand, there are requests from employers (educational institutions) for teachers-engineers of computer profile. Therefore, further research was aimed at enhancing cognitive activity primarily by increasing motivation for pedagogical activity. Methods: pedagogical experiment. Results. An experimental test of the effectiveness of pedagogical conditions for intensifying the educational activities of future teachers-engineers of computer profile in professional training. Originality. The results of the study testify to the effec- tiveness of certain pedagogical conditions for intensifying the educational activities of future teachers-engineers of computer profile: changes of external motivation to internal will take place if the information and communication technologies are introduced into educational process of studying peda- gogical disciplines; change of position in the educational activity of future teachers-engineers of computer profile in the study of pedagogical disciplines will take place under the condition that students apply a project approach to the organization of their own educational activity; intensification of educational activity due to its correc- tion in future teachers-engineers of computer profile in the process of operative feedback at each stage of educational activity. Comparative analysis of experimental data shows an increase in the percentage of students of the experimental group compared to the control group with a high level of educational activities of future teachers-engineers of com- puter profile in the study of pedagogical disciplines for a stable active position of educational activity – by 34%, internal motivation to study – by 32%, by the ability to plan and organize their own educational trajectory – by 32%, by academic performance – by 25%). When comparing the results before and after the ex- periment: in the control group the empirical values of the criterion χ2 are less than critical, the characteristics of the compared groups coincide at the level of significance of 0.05; in experimental group the empirical values of the criterion χ2 are greater than the critical one, the signifi- cance of the difference in the characteristics of the com- pared groups is 95%.