Reviewerly/exHarmony huggingface dataset:
Модели Я: потенциал развития и укрепления Я-субъектности

The paper presents a distinctive experience of dialogue between two researchers that is comprised of the creative synthesis of their original concepts of Subjectness of Self and ways of enhancing it. Here, the dialogical interaction of scientists is manifested not in academic controversy, but in “integrating”, or connecting, the researchers’ concepts related to a common study object and providing profound insight into this object that is unattainable outside of dialogue. The problems solved by the researchers are associated, firstly, with a new reflection on their relevant research; secondly, with the development of the scientific theory of the Self of Personality; thirdly, with substantiating the possibility of achieving “creative consistency”, or “creative partnership” in theoretical research; and, fourthly, with demonstrating the significance of scientific dialogue in psychology of personality as the art of aligning researchers’ standpoints for the benefit of human cognition. The purpose and original result of the dialogical integration of the presented concepts was deeper and more expanded knowledge about the structure of Self the Subject, about the properties of the Self that determine its subjectness, about the Unknown Self and the active attitude of the personality towards it, about self-identity of the Self and ways to achieve it, and about the self-causality of the Self and methods of its empirical research. The method of conceptual analysis and synthesis, the method of hermeneutics, and reflexive and phenomenological methods were applied for searching, operating and revealing knowledge about the Self and its subjectness. The dialogue was within the space of general personology, a trend in the study of personality that was founded by the researchers. It presupposes the unity of cultural-hermeneutic, theoreticalempirical, practical and self-positing approaches in research, counseling and psychotherapy of personality. The dialogue has resulted in the development of a new field of science, personology of Self. The paper contains the voices of both the authors and all those who have inspired their views and ideas.
FEATURES AND CURRENT REQUIREMENTS FOR THE SUPERVISOR'S PROFESSIONAL ACTIVITY IN SPECIAL EDUCATION AND SOCIAL WORK

The article is devoted to supervision, which is becoming more and more necessary in all spheres of social life, including in the system of social work and special education. It is shown that one of the tasks of supervision is the development of certain skills and expansion of the supervised's understanding and capabilities. It is justified that for the effective performance of such tasks, the supervisor himself must have the appropriate skills and abilities. The purpose of the article is to study the specifics and consider modern requirements for the professional activity of a supervisor. The task of the article: to analyze the views of scientists on the goals and functions of supervision; consider the personal and professional characteristics of supervisors and the roles they perform; to investigate the content of supervision of social work and education. It was concluded that the purpose of supervision is to help the supervisee (them) more effectively perform the tasks defined in job duties through the development of emotional maturity, and the task of supervision is to satisfy organizational, professional and personal needs.
Modal-identity dual-central loss for visible-infrared person re-identification

Visible-Infrared person re-identification technology aims to match the target persons across the visible and infrared modalities. In this paper, we propose a visible-infrared person re-identification method based on a modal-identity dual-central loss. Modal-identity dual-central loss constrains the network to extract modal shared features by pulling in the infrared modal center and visible modal center of the same identity person, while pushing away the identity centers of different person to maintain inter-class discriminability. In addition, to extract more discriminative information, we propose a feature pyramid integration network based on efficient channel attention. Specifically, the network fuses high-level features and fine-grained low-level features to build a multi-scale feature map, and introduces an efficient channel attention module to enhance the salient features of person. Extensive experiments have been conducted to validate our proposed method on the SYSU-MM01 and RegDB datasets.
Teachers’ Perspectives on Literacy Skills Development among Kindergarteners: Evidence from Kindergarten Teachers in Agona East District, Ghana

This paper examined the perspectives of kindergarten teachers on literacy skills instruction among kindergarteners. The study focused on public kindergarten teachers within the Agona East District of Ghana. 132 public kindergarten teachers were sampled for the quantitative aspect of the study using census technique of sampling and 12 participants were sampled using the convenience sampling technique for the qualitative phase of the study. The explanatory sequential mixed methods research design enabled the researcher to collect both quantitative and qualitative data using a questionnaire and a semi-structured interview guide respectively. The quantitative data were analysed descriptively using the SPSS and the hypotheses were tested with the use of Pearson Correlation. Thematic analysis was used for the qualitative data. The study established that majority of kindergarten teachers in the district had a positive perspective on literacy skills and literacy skills instruction among kindergarteners. They believed literacy skills development offers numerous benefits to kindergarteners and that a teacher’s view of the benefits of literacy skills instruction influences lesson delivery. Based on the findings, it is recommended that headteachers of the basic schools and the District Education Directorate should make efforts at motivating kindergarten teachers to regard these positive views with high esteem, and should organize periodic seminars and symposia on the relevance of effective literacy skills among kindergarteners for kindergarten teachers. This will enable them to keep up and maintain the knowledge and positive view they hold on the relevance of literacy skill development to kindergarteners.
Towards Visuo-Structural Handwriting Evaluation Based on Graph Matching

Judging the quality of handwriting based on visuo-structural criteria is fundamental for teachers when accompanying children who are learning to write. Automatic methods for quality assessment can support teachers when dealing with a large number of handwritings, in order to identify children who are having difficulties. In this paper, we investigate the potential of graph-based handwriting representation and graph matching to capture visuo-structural features and determine the legibility of cursive handwriting. On a comprehensive dataset of words written by children aged from 3 to 11 years, we compare the judgment of human experts with a graph-based analysis, both with respect to classification and clustering. The results are promising and highlight the potential of graph-based methods for handwriting evaluation.
Visual–Inertial Sensor Fusion and OpenSim Based Body Pose Estimation

Body pose estimation is crucial for many human motion-related applications. Stable and low-cost methods for body pose estimation are highly desirable for daily life usage. In this paper, we propose a sensor fusion method for upper body pose estimation. A monocular camera and several IMU-marker sensor modules are integrated to achieve a visual-inertial sensor system. ArUco markers are attached to the IMUs to remove the usage of magnetometers. The raw IMU data are firstly corrected with pre-calibrated intrinsic parameters and then fused with the marker poses detected from the images via an extended Kalman filter. The driftless sensor orientation and marker trajectory are then imported into the OpenSim software to compute body states using the inverse kinematics approach. Experiments were conducted on human subjects to validate the effectiveness of the method. Movements used in the Fugl-Meyer assessment procedure are adopted during the experiments. The estimation results are compared with the joint states from the optical motion capture system showing good accuracy. The proposed method shows the potential to be applied in clinical assessment to reduce the efforts of professional physicians.
The Drivers and the Changes of the Digital Economy and the Skills Gap in the Formal Education

The digital economy is changing the way people work and creating new skills and competencies. But the formal education system is often behind in giving learners the skills they need to succeed in the digital economy. This paper looks at how the digital economy is changing and how the skills gap in formal education is getting bigger. It looks at different research works that show how to bridge the skills gap and teach learners relevant skills for the digital economy. It also discusses some of the best practices and recommendations for improving the quality and relevance of formal education in the digital era.
Research on Financial Investment Strategies of Operating Enterprises in the Context of Market Economy

In the context of a globalized and digitalized market economy, the role of corporate financial investment has become increasingly crucial. The primary objective of this study is to understand the impact of the market economy on corporate financial investment, reveal its challenges, and propose optimization strategies. We first provide a brief introduction to the concept and fundamental theory of corporate financial investment. Then, using qualitative analysis methods, we explore the impact of the market economy on corporate financial investment. We find that under the backdrop of a market economy, corporate financial investment confronts numerous challenges, such as deficiencies and biases in formulating and implementing investment strategies, challenges of high-risk investment decisions, shortage of financial market knowledge and analytical skills, as well as issues related to adapting to emerging financial technologies. However, by developing optimization strategies like bridging the gap in investment strategy, tackling high-risk investment challenges, enhancing financial market knowledge and analytical abilities, and leveraging financial technology, enterprises can better cope with these challenges and optimize their financial investments. The results of our study offer practical strategies for enterprises to conduct financial investment in a market economy context.
Theoretical and Methodological Bases of Developing Save Digital Education Environment in Professional Education: Legal and Technological Aspects

This article is the continuation of the research started in 2020 based at Science and Education Centre “Digital education environment” of department of law at Lomonosov Moscow State University. Research subject are general methodological bases of developing save Digital education environment (DEE), technological and legal aspects of ensuring its safety. In this work, the authors have studied the idea of DEE security. The analysis of tendencies and challenges that influence the safety of DEE were provided. To ensure secure usage of online services and platforms, indicators of digital education environment safety were established and analyzed. Stated indicators are examined through the prism of education quality criteria (based on the previously developed approach). In this article, existing legal aspect of ensuring safety of DEE and its individual constituents are studied. In the context of securing DEE safety and other adjacent problems the authors have examined the prospects of legal and organizational regulation. Namely the licensing and certification, DEE users’ legal status, user identification and control mechanisms of DEE, technological aspects of DEE safety and their legalization, the development prospects of methodological and linguistic tools, safety of micro-teaching via DEE and gamification of DEE.
METHODS OF METROLOGICAL RESEARCH IN THE STUDY OF INDUSTRIAL ELECTRONICS BY HIGHER EDUCATION APPLICANTS FOR TECHNOLOGICAL AND VOCATIONAL EDUCATION SPECIALTIES

The current state of society puts forward new tasks for the organization of the educational process for the preparation of higher education applicants in various sectors of the national economy. Taking into account the urgent needs of the organization of the educational process, namely distance learning, there is a problem in developing appropriate methods for the formation of professional competencies of students. Modern production is difficult to imagine without specialists in metrology. At industrial enterprises, it is necessary to constantly determine the parameters of technological processes and control the quality of industrial products. A fairly rapid introduction of computerized information-measuring systems into the production process requires highly skilled workers who design, implement and maintain these systems. Thus, the field of activity of specialists in metrology and information-measuring equipment covers almost all branches of industry in Ukraine. Studies conducted by scientists indicate the unresolved problem posed regarding the construction of the educational process in distance learning when students study the basics of metrology. In the first place is the state of material and technical support of students, inaccessibility to the necessary equipment, lack of appropriate methodological support when using available computer equipment and software. Therefore, there is a search for alternative means in the organization of distance learning, which leads to the development of accessible methods of teaching the basics of metrology. Analysis of scientific research devoted to the problems of organizing and conducting metrological research in the study of industrial electronics by higher education students of technological and vocational education in distance learning indicates that there are certain difficulties in their formulation, namely the impossibility of using measuring equipment. Our proposed approach to conducting metrological research in distance learning, namely: the use of virtual equipment during laboratory work to a certain extent satisfies the tasks. There is a prospect of further methodological developments to provide metrological research based on virtual devices, which would significantly improve the level of students' learning the basics of metrology.
PREDIKSI KERAWANAN BANJIR LAHAN SAWAH BERBASIS CURAH HUJAN AKTUAL DAN KERENTANAN PANGAN DI WILAYAH SUB DAS BILA PROVINSI SULAWESI SELATAN

Bila Watershed (DAS) is the water source provider at the agricultural activities in several districts in South Sulawesi: Enrekang (upstream), Sidenrang Rappang (middle) and Wajo (downstream). For last five years, every years there are floods, Sidrap and Wajo districts, and affect the level of food security. This study aims to predict the pattern of changes in rainfall and flood events for the next 10 years. Predictions of rainfall patterns and flood events are used as the basic for mapping the level of flood vulnerability of paddy fields and food vulnerability.Climate change analysis uses the Global Change model (GCM) with a short-term (10 years) baseline average monthly rainfall simulation. Precipitation data for the last 10 years from the nearest climate station and land biophysics (slope, soil physical (permeability), drainage density, land use). The data were analyzed spatially to obtain class data for each parameter and validated through a field survey. The data for each parameter is overlaid with data and maps using a geographic information system (ArcGIS) application. The results of the overlay map form the projection of flood susceptibility and food vulnerability in the Bila watershed area. The results of the analysis show that the monthly rainfall volume &gt;300 mm/month occurs in April - July and rainfall &lt;200 mm occurs in August - March. The level of flood vulnerability in the high and very high categories is 31.28% (53,252.09 ha). The potential for flood vulnerability of paddy fields is high to very high, 96.71% (38,069.06 ha) of the total paddy fields in the Bila watershed area (39,363.55 ha).Enrekang distric has a very high level of food security with a ratio demand is 414 kg/capita/ year with paddy producton is 9,108,99 tons/year, compared to Sidrap and Wajo districts with a low level of food security
The Effect of the CIRC Model on Reading, Writing, and Numeracy Skills in Second-Grade Elementary School Students

This research was motivated by the low ability to read, write, and count in second-grade elementary school students. This study, therefore, aims to determine the mean difference and improvement in implementing the smartboard-assisted CIRC model to the reading, writing, and numeracy skills of second-grade elementary school students. This study used quantitative research methods with a pre-experimental one-group-pretest-posttest research design. The sample involved was 17 students, with a total sampling technique or census. Data collection techniques were in the form of tests, interviews, observation, and documentation. The results showcased the difference in the mean pretest-posttest scores on the paired sample t-test calculation, indicating that the sig. (2-tailed) = 0.000 0.05, with criteria sig. p 0.05, so H0 was rejected, and Ha was accepted. It can be concluded that there was a difference in the mean pretest-posttest scores of students. Meanwhile, the application of the smartboard-assisted CIRC model in the N-gain test calculation was known to have increased by 0.61, with moderate criteria. From the study results, it can be concluded that there was an increase in students' reading, writing, and numeracy skills through the CIRC model assisted by smartboard media. These results indicate that the smart board-assisted CIRC model can be used as an alternative pair of innovative learning model and media to address learning problems of elementary school students.
Preface

2023 2 nd International Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2023) was held in Shenzhen, China, on April 21-23, 2023. It aims to bring scientists, researchers, practitioners and industry delegates from academia and industry together to exchange and share their latest research and experiences in the field of Unmanned Systems and Artificial Intelligence. The conference is expected to provide opportunities for advances and collaborations in this field. SIUSAI 2023 is organized by Southwest University of Science and Technology School of Computer Science and Technology, Southwest University of Science and Technology School of Manufacturing Science and Engineering, co-organized by Hohai University, Key Laboratory of Testing for Manufacturing Process, Ministry of Education, Southwest University of Science and Technology, Sichuan Big Data and Intelligent System Engineering Technology Research Center, The International Association of Electrical, Electronic and Energy Engineering (IAEEEE), and supported by CoreShare Academy Exchange Center. The conference contained one day of registration and two full-days program consisting of keynote lectures, oral presentations, video presentations and poster presentations. We would like to express our sincere gratitude to our keynote speakers Pro. Huiyu Zhou from University of Leicester and Prof. Saleh Mobayen from University of Zanjan who shared their newest and outstanding research achievements at the conference. After a couple of months well preparation and hard work, the conference has been held successfully and the proceeding of the 2023 International Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2023) will be smoothly published soon. On behalf of the conference organizing committee, we would like to show our congratulation and sincere gratitude to all authors, peer reviewers, speakers, oral, Video and poster presenters and listeners. We deeply appreciate their efforts in making the conference an impressive success. List of Committee Members is available in this pdf.
Linear Cryptanalysis of Lightweight Block Cipher WARP

WARP is 128-bit lightweight block cipher proposed by Banik et al. in SAC 2020, which is currently the smallest 128-bit block cipher in terms of hardware. In this paper, we evaluate the security of WARP against linear cryptanalysis with SAT method. Using the SAT-based automatic search algorithms, the lower bound on the number of minimal linearly active S-boxes and the maximal linear correlation for WARP up to 30 rounds are presented, and a 23-round linear cryptanalysis of WARP is presented with a 19-round linear hull with correlation $$2^{-58.16}$$ by extending two rounds forward and backward the distinguisher.
A New Revocable Attribute Based Encryption on Lattice

In this paper we propose a new Lattice-based Revocable Attribute Based Encryption (RL-ABE) scheme in the cloud. We use Ciphertext-Policy Attribute Based Encryption (CP-ABE) in the scheme. This policy is implemented in the way that the data owner can define her/his own access control policy. And our access policy uses a linear secret sharing scheme (LSSS) converted by boolean formula to achieve fine-grained access control of user permissions. More importantly, we propose a new revocation mechanism. Different from the current revocation mechanism, data service manager in the cloud do not require key during the revocation process, thus avoiding the key leakage problem and improving the security of the solution. In addition, the difficult problem we based on is the learning with error (LWE) problem in lattice, which is resistant to quantum algorithm attacks. The scheme that is constructed in this paper using the LWE problem is proved to be secure under selective plaintext attacks.
Enhancement of Overall Network Performance by Fuzzy Based Routing Algorithm for IoT Enabled WSN

The fuzzy based routing algorithm for IoT enabled WSN (Wireless Sensor Network) is a novel routing algorithm which provides an efficient and robust form of service to the communication between various types of sensor nodes in the network. The core idea behind the fuzzy based routing algorithm for IoT enabled WSN is to enable the formation of a more reliable connectivity by using the ability of fuzzy logic to accurately sense the physical environment of the WSN and to predict the best available paths for communication. Compared to the traditional routing algorithms, this technique is more adaptive to environmental changes, and it supports a more efficient utilization of network resources. Moreover, the fuzzy based routing algorithm for IoT enabled WSN increases the communication speed, reduces the packet loss rate and improves the quality of service provided.
An image defog iteration algorithm for optimal estimation of atmospheric light direction

In the digital image defog algorithm, restoring a fog-free image relies on calculating transmittance and atmospheric light intensity. However, existing algorithms with division calculations are unstable in low-transmittance scenarios, amplifying noise and degrading image quality. Estimating atmospheric light direction and mode inaccurately also affects the final image. To address these issues, this paper proposes an iterative algorithm. It transforms the imaging model to avoid division calculations and selects the top 0.1% brightest pixels to determine atmospheric light intensity accurately. Experimental results show significant improvements in color fidelity, image clarity, and visual effect. The algorithm achieves 5% increase in color reduction, 13% increase in average gradient, and 16% increase in dark channel prior ratio.