Reviewerly/exHarmony huggingface dataset:
Supra-professional competencies: operationalization of the notion in the context of the paradigm of modern education

Introduction . The new personality-oriented educational paradigm assumes the ability of the educational system to continuously self-renew and manage its development in close contact with the modern labor market. Purpose setting . The quality of personnel training for the labor market of the future is the subject field of scientific research of interdisciplinary sciences, requires the operationalization of the concept of "supra-professional competencies". Methodology and methods of the study . Operationalization as a way to infer the existence and some elements of the expansion of phenomena of interest through some observable and measurable effects that they have. Results. The combination of rational and value aspects of quality in a single educational process encourages us to reconsider the role of the object in the process of education, the orientation of education on the self-realization of a person in his personal and social senses. The exceptional role and great importance of supra-professional competencies is emphasized in the light of the ecosystem approach that meets the modern paradigm of higher education. Conclusions . One of the solutions is to study and develop the theory and practice of supra-professional competencies as an additional resource for the professional development of the subject of labor. This implies comprehensive scientific research, defining methods for measuring their components and correlation with indicators that determine the demand for a future specialist and his professional development.
Personality foreign language education in the conditions of inclusion in the world educational space: Theoretical foundations of the problem

Introduction . The relevance of the problem of personality foreign language education is determined by the significant development of international cooperation and the inclusion of the Russian Federation in the world economic and educational space. The analysis of the theoretical foundations of this problem will allow us to determine the degree of its development from the point of view of different approaches, which will be the basis for the further research in this area. Purpose setting . The research purpose of the article was to identify and summarize the theoretical foundations of the problem of personality foreign language education. Methods and methodology of the study . The following research methods were used: analysis, generalization, system method. The theoretical basis includes works in the field of philosophy, in which the problem of education in the personality formation was developed. The researchers pay special attention to the individual creative potential, the continuity of education, its possibilities for the personality and society development. Results. As the results of the research, the author presents the theoretical foundations of the problem of personality foreign language education in the conditions of inclusion in the world educational space, exactly: philosophical, psychological, pedagogical, linguistic. Conclusion . The analysis of the theoretical foundations allowed us to conclude the following: the potential of foreign language education is not only in the development of the personality, but also of the society as a whole, which is realized under the conditions of accepting the students’ personalities as subjects of the educational process, considering their needs, characteristics and interests, ensuring the development of all aspects of a foreign language (cognitive, educating, developing, educational).
The The Study of UX on Students’ Perception and Attitude of Using Zoom During Covid-19 Pandemic Using User Centered Design Method

The pandemic of COVID-19 resulted in the physical shutdown which has now transformed education into an exclusive "online learning" model. Zoom is being used to evaluate the perceived usability as the reference platform. The students find it less collaborative, less interactive, boring, and less collaborative. From this perspective, the Usability of the current online learning platforms is an important factor, particularly because no physical classes are present. The User-Centered Design (UCD) approach was chosen for this study and using the Usability Scale (SUS) method to evaluate the interface. The objective of this study is to analyze user experience, design solutions and evaluate user interfaces that can meet user needs. A pre-survey to evaluate the difficulties of the Zoom application based on user experience, and a post-survey to see if the upgraded design can help the students using the Zoom application for online learning. Then, use the System Usability Scale (SUS) questionnaire approach to measure the system's usability. After the UCD approach was completed, the researcher did a follow-up survey. The results showed that SUS ratings went up to 85.12. As a result, the previously low acceptability ranges have been raised to acceptable. Additionally, the grade scale has been reclassified B. The Zoom program now has more features and is easier to use, and fulfills the students' needs.
Penerapan Metode Case Based Reasoning Untuk Diagnosa Penyakit Kulit Akibat Virus Eksantema Berbasis Web

In the current condition of the patient, if he has experienced early symptoms of skin disease due to the exanthema virus, it is felt that he cannot directly consult with a dermatologist because of the high cost and limited time for specialists to carry out activities in the hospital. So the author needs to make an expert system application that can overcome this. Through this application, users can consult with the system like consulting an expert to diagnose symptoms that occur to users and find solutions to problems encountered. This expert system is made by providing appropriate or not or with several choices of answers that are recommended from the symptoms that occur. System. Diagnosing skin diseases due to exanthema virus, the author uses the Case Based Reasoning method. The CBR method is a weighting technique by comparing new cases with old cases. With the diagnosis based on the data provided by the patients and experts then analyzed by case based reasoning method and stored as a knowledge database in the expert system. So that this expert system can help to take solutions for handling problems when patients suffer from skin diseases due to the Exanthema Virus.
DEVELOPMENT OF AL-BAROKAH COMMUNITY READING PARK (TBM) TO IMPROVE COMMUNITY READING LITERACY IN TAMANSARI VILLAGE, PULOMERAK DISTRICT

Reading is a source of knowledge, so the importance of reading skills that must be possessed by each individual, but the lack of public awareness in reading literacy in Tamansari Village, Pulomerak District. This community service in its implementation uses a survey method, with the targeted target being the community in Tamansari Village. The result of the implementation of this service is that it can increase reading literacy slowly for the local community, especially children. Based on the activities that have been carried out, it can be concluded that through the development of community reading parks and a good approach with the community in Tamansari Village about the benefits of reading, it can move people to start getting used to visiting Al-Barokah community reading parks and reading books
Multiple Image Watermarking based on SVD : Improving Capacity and Imperceptibility

Digital watermarking consists of inserting a mark (text, image, sound or video) in a medium. The goal is to be able to identify the author or owner of a digital document by the inserted mark. Watermarking algorithms must find a compromise between capacity and imperceptibility. Capacity represents the amount of data inserted and the imperceptibility makes the mark invisible. Our research is related to images watermarking based on singular value decomposition. There are two main approaches to improving capacity and imperceptibility : dual technique and multiple technique. Most algorithms based on these two approaches have low capacity : the watermarks are generally smaller than the host image. Agarwal &amp; al worked on inserting an image into another image of the same size, imperceptibly. Their method adds the mark in the V matrix of the image after its singular value decomposition. A λ parameter was chosen to specify the power of insertion. Our contribution is to add two images by simultaneously improving capacity and imperceptibility. This new method consists on adding the mark in the 2 matrices U and V after singular value decomposition. The insertion of the first mark is an addition as in Agarwal’s method while that of the second mark is a subtraction to make the watermark less imperceptible. The result shows that our method is robust against different attacks such as compression, noise addition, median filtering and rotation. It is also imperceptible because not only we obtain a PSNR of 27 dB, but the histogram obtained is closer to that of the original image than that of Agarwal. A test on a database of 180 images shows that the marks are still detected. However, despite these advantages, the first mark is less visible and of poor quality compared to the second after their extraction. One solution to this is to increase the value of the parameter λ for the insertion of the first mark.
Forming the readiness of future teachers to implement strategies for stagingmulticultural interaction

Introduction. At the present stage, the value-target guidelines for the modernization of the Russian education system are aimed at the multicultural upbringing of schoolchildren. The effectiveness of the process of multicultural upbringing of schoolchildren in the conditions of a general educational organization is determined by the professionalism of the teacher, therefore, the most important task for the education system is to form multicultural competence in future teachers. In our opinion, the scenario approach to the formation of multicultural competencies is one of the tools for effectively updating the content of education. To implement the staging technology, the teacher needs to create special teaching-learning situations that are aimed at transmitting information and developing the multicultural skills of students. In this regard, one of the important tasks of preparing a future teacher is the formation of his readiness to implement strategies for staging multicultural interaction. Materials and Methods. Theoretical research methods: analysis of psychological, pedagogical and regulatory documents; pedagogical experiment (questionnaire, ranking, content analysis), methodsof data processing. Results. Pedagogical diagnostics was carried out in order to determine the readiness of the future teacher to implement the strategies of multicultural interaction. To identify the level of formation of cognitive, motivational-value and performance-based components, specific diagnostic methods were used (questionnaire by S. A. Khazova, F. R. Khatit; ranking of values according to their degree of significance by S. A. Khazova, F. R. Khatit; content analysis) that meet the characteristics of this particular component. Discussion and Conclusions. The organization of work on the formation of the readiness of future teachers for the implementation of strategies for stagingmulticultural interaction must be carried out in the context of the implementation of interdisciplinary integration, which ensures the productivity of the process of forming the readiness of future teachers for the implementation of strategies for stagingmulticultural interaction; inclusion of students in a variety of (individual, socially significant, project activities) extracurricular activities of a multicultural orientation.
Risk-Averse Reinforcement Learning via Dynamic Time-Consistent Risk Measures

Traditional reinforcement learning (RL) aims to maximize the expected total reward, while the risk of uncertain outcomes needs to be controlled to ensure reliable performance in a risk-averse setting. In this paper, we consider the problem of maximizing dynamic risk of a sequence of rewards in infinite-horizon Markov Decision Processes (MDPs). We adapt the Expected Conditional Risk Measures (ECRMs) to the infinite-horizon risk-averse MDP and prove its time consistency. Using a convex combination of expectation and conditional value-at-risk (CVaR) as a special one-step conditional risk measure, we reformulate the risk-averse MDP as a risk-neutral counterpart with augmented action space and manipulation on the immediate rewards. We further prove that the related Bellman operator is a contraction mapping, which guarantees the convergence of any value-based RL algorithms. Accordingly, we develop a risk-averse deep Q-learning framework, and our numerical studies based on two simple MDPs show that the risk-averse setting can reduce the variance and enhance robustness of the results.
Quantum Enhanced Measurement Using SU(1,1) Nonlinear Interferometers

SU(1,1) nonlinear interferometer (NLI) employs parametric amplifiers as the wave splitting and mixing elements. We show the applications of NLI in multi-parameter measurement, in phase measurement and in loss-tolerant measurement of continuous variable entanglement.
Perencanaan Strategis Sistem Informasi Pada GMIT EFATA SOE Menggunakan Enterprise Architecture Planning (EAP)

GMIT Efata Soe is one of the largest churches located in Soe City, East Nusa Tenggara Province. From the results of interviews conducted, it was found that GMIT Efata Soe has not utilized information systems to support operational activities and still uses manual methods in all work processes. Therefore, this study aims to help optimize operational activities and improve job performance by using the information system at GMIT Efata Soe. The Enterprise Architecture Planning method is a choice of the right method in strategic planning of information systems that can answer the needs of GMIT Efata Soe. Business modeling using value chain analysis gets the business functions of the main and supporting activities that are used as the basis for building a proposed portfolio of systems and applications. From analyzing the main activities and supporting activities, it produces a portfolio of information system applications that can be developed by GMIT Efata Soe in the next few years. The resulting portfolios are GMIT Efata Soe Information System, GMIT Efata Soe Financial Administration Information System, GMIT Efata Soe Archiving Information System, GMIT Efata Soe Employee Information System and GMIT Efata Soe Congregation Information System
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization

Despite the success of neural-based combinatorial optimization methods for end-to-end heuristic learning, out-of-distribution generalization remains a challenge. In this paper, we present a novel formulation of Combinatorial Optimization Problems (COPs) as Markov Decision Processes (MDPs) that effectively leverages common symmetries of COPs to improve out-of-distribution robustness. Starting from a direct MDP formulation of a constructive method, we introduce a generic way to reduce the state space, based on Bisimulation Quotienting (BQ) in MDPs. Then, for COPs with a recursive nature, we specialize the bisimulation and show how the reduced state exploits the symmetries of these problems and facilitates MDP solving. Our approach is principled and we prove that an optimal policy for the proposed BQ-MDP actually solves the associated COPs. We illustrate our approach on five classical problems: the Euclidean and Asymmetric Traveling Salesman, Capacitated Vehicle Routing, Orienteering and Knapsack Problems. Furthermore, for each problem, we introduce a simple attention-based policy network for the BQ-MDPs, which we train by imitation of (near) optimal solutions of small instances from a single distribution. We obtain new state-of-the-art results for the five COPs on both synthetic and realistic benchmarks. Notably, in contrast to most existing neural approaches, our learned policies show excellent generalization performance to much larger instances than seen during training, without any additional search procedure.
Forward Private Multi-Client Searchable Encryption with Efficient Access Control in Cloud Storage

Through Searchable Symmetric Encryption (SSE), a user can make search over encrypted documents that are stored on an untrusted cloud server. Multi-client SSE schemes require that one client can search documents contributed by other clients and upload documents. Nevertheless, existing multi- client SSE schemes implement the fine-grained access control with high complexity. Although fine-grained access control adapts to complex scenarios, it is not necessary anytime and may cause heavy costs over computation in SSE schemes. Moreover, it is crucial to support documents updating and forward privacy. To combat that, we design a multi-client SSE scheme with efficient access control over dynamic encrypted documents. Specifically, we first modify Symmetric Hidden Vector Encryption (SHVE) and utilize Bloom filter to implement the access control, which reduces much of computation overhead. We then employ Oblivious Dynamic Cross-Tag (ODXT) protocol to preserve the forward privacy of our scheme. Finally, the corresponding security and experimental evaluation demonstrate both security and practicality of our scheme, respectively.
Formation of professional flexibility among pharmaceutical workers to increase effectiveness of professional interaction

The legislation of the Russian Federation in the area of regulation of a pharmaceutical activity has undergone changes aimed at provision of pharmacies with professionals having modern skills of effective professional interaction. Objective of the study was to examine the structure of professional flexibility and procedure of its formation. A sample consisting of 345 pharmaceutical workers including 283 chemists (82%) and 62 pharmacists (18%) was formed to implement the method of empirical research of professional flexibility. The method included diagnostic tools to examine the elements of professional flexibility. Pharmaceutical professionals who performed an effective professional interaction have a sufficient level of professional flexibility. The structure of professional flexibility was studied. It consists of cognitive, motivational value, socio-communicative, and reflective elements. The elements of professional flexibility were estimated using the diagnostic tools. The study results showed that it was necessary to form professional flexibility among pharmaceutical specialists. A set of academic disciplines embracing various levels of professional education was developed by us to reach the purpose. Depending on the level of professional education, the objective of disciplines and cycles was either to form the basis of professional flexibility, or shape its certain level.
Analysis of Interaction Grouping Modeling Fusion Group Behavior Recognition Algorithm

In order to make full use of the effective information in the video, this paper proposes a multi-model interactive video behavior recognition method. In order to solve the problems of incomplete human target detection and redundant feature extraction, YOLO_V4 is used to detect the human body and remove the redundant background information. Then, it is proposed to introduce the channel attention model SE-NET into the Inception_V3 network, so as to strengthen the extraction of key features and make the network pay more attention to the details of key features. Finally, the feature information is sent to LSTM network with memory function for action recognition and classification. The multi-model mutual fusion algorithm proposed in this paper is tested and verified on an internationally published UT-Interaction data set. The experimental results show that the accuracy of interactive behavior recognition is improved, and the improved accuracy is 85.1%, which indicates that the multi-model fusion method has higher accuracy.
A Local Planner Based on Environmental Geometric Features for Rescue Robots

For robots that perform autonomous exploration work in unknown environments, local planning is a key technol-ogy to determine whether the robot can work safely. In this paper, we propose a local planner based on the geometric features of the 3D point cloud for rescue robots, where the raw 3D point cloud are divided into Passable Areas (PA), Surmountable Obstacles (SO) and Insurmountable Obstacles (IO). The robot will obtain the orientation information of SO in real time. In the process of autonomous exploration, in order to ensure the safety of the robot, the robot should operate in the passable areas as much as possible. When there is no way, the robot can cross SO with lower risk according to its own obstacle crossing ability. This local planner newly defines the obstacles that can be crossed, so the robot has more flexible choices in the exploration process. The experimental results show that the safety can be improved for rescue robots during autonomous exploration.
MpFedcon : Model-Contrastive Personalized Federated Learning with the Class Center

Federated learning is an emerging distributed privacy-preserving framework in which parties are trained collaboratively by sharing model or gradient updates instead of sharing private data. However, the heterogeneity of local data distribution poses a significant challenge. This paper focuses on the label distribution skew, where each party can only access a partial set of the whole class set. It makes global updates drift while aggregating these biased local models. In addition, many studies have shown that deep leakage from gradients endangers the reliability of federated learning. To address these challenges, this paper propose a new personalized federated learning method named MpFedcon. It addresses the data heterogeneity problem and privacy leakage problem from global and local perspectives. Our extensive experimental results demonstrate that MpFedcon yields effective resists on the label leakage problem and better performance on various image classification tasks, robust in partial participation settings, non-iid data, and heterogeneous parties.
Teaching Materials in the Implementation of the Technology «Learning Through Teaching»

Introduction. The methodological support of the educational process is considered from the point of view of the didactic construction of the information environment of education using technical pedagogical tools in the implementation of the pedagogical technology &amp;quot;learning through teaching&amp;quot;. To increase the complexity of the teaching content, the effectiveness of combining the &amp;quot;learning through teaching&amp;quot; approach with information technologies is considered proven. The most developed idea of such a combination is the introduction of a &amp;quot;pedagogical agent (comrade)&amp;quot;, which carries out communication with the subject area and is an analogue of an expert system. From the point of view of designing an information learning environment, we can talk about using technical tools or their analogs as boundary objects. Horizontal interaction of participants with each other in the implementation of the technology &amp;quot;learning through teaching&amp;quot; generates new boundary objects that can be considered as the basis of methodological support of the educational process. The combination of these two approaches is the theoretical basis of part of the research carried out at the Department of Algorithmic Mathematics of SPBSET &amp;quot;LETI&amp;quot;. Results. The role and place of teaching materials in the implementation of the technology &amp;quot;learning through teaching&amp;quot; is presented. The changes in the understanding of the content of teaching are confirmed not only in direct active &amp;quot;teaching&amp;quot;, but also in the preparation of teaching materials.