Reviewerly/exHarmony huggingface dataset:
Career Guidance for Students and Graduates (A Case Study of Belgorod State National Research University)

Background: The article is devoted to the study of creating the tripartite interaction model "university-student-employer" at the National Research University "BelSU". The relevance of the topic is determined by the particular importance of the employment of graduates for assessing the quality of the university work, as well as the need to digitize the past experience of career support and its transformation in response to the challenges of 2020-2022. Purpose: The purpose of the article is to consider the whole structure and the elements of career support as one of the key areas of the university work and show the role of the career center. Materials and Methods: The study contains an analysis of the regulatory framework for the organization of targeted training and practice (as a part of practical training), as well as the opportunities provided to the university in the field of employment of its students and graduates. The keystone sources in this issue are the Federal Law "On Education in the Russian Federation", which lays the foundation for the organization of targeted training and practical training in the form of practice, and the Decree of the Government of the Russian Federation dated 13.10.2020 No. 1681 "On targeted training in educational programs of secondary vocational and higher education", which reveals the procedure for organizing and implementing training and interaction of the parties in the event of certain situations. Taking into account the experience accumulated at the National Research University "BelSU", relationships that arise in the process of career support and require additional regulation have been established, which was decided by the development of local regulatory legal acts. Results: Particular emphasis is placed on identifying promising areas of career guidance and employment organization. The author evaluates the effectiveness of the decisions taken by the university recently in the field of career support, and describes in detail the results achieved by 2023. The accumulated experience can be used both for the future transformation of the legislative framework that regulates the legal relationship between students and employers, and can be used by career centers of universities and HR of organizations in their work. Conclusion : Based on the analysis and generalization of empirical data, successful practices for the formation of career trajectories are described, and frequently occurring problems and ways to solve them are noted separately. Overcoming them is possible only if useful experience is accumulated and the specialized experience and necessary competencies of students or employers are formed, which is possible only if their interaction is competently organized.
Educational Strategies of the Post-Covid Era

Introduction: The COVID-19 pandemic not only challenged the entire educational architecture but also revealed the total unpreparedness of both the teaching and student body to navigate the educational trajectories in an era of uncertainty and digital challenges. The terminology that showed the population's engagement in the digital reality was put to the test, and the so-called "digital millennials" turned out to be under-digitized in practice. It turned out that the necessary level of digital competencies was possessed by a fairly limited group of students and teachers. And if the insufficient readiness of university teachers for blended learning formats and forced online learning can be explained by a number of quite understandable factors, the unpreparedness of young people for an effective transition to digital formats of educational interaction has necessitated a rethinking of the entire educational landscape. Purpose : To analyze the factors that have pre-determined the difficulties of forced online learning among students in higher education institutions. Materials and M ethods: Students from various metropolitan and regional universities participated in-depth interviews, implemented in three focus groups. The results of the interviews were conceptualized by the authors in order to identify the main barriers to deep digitalization through the prism of student perception. The study involved students from the 3rd, 4th courses of full-time, evening, and correspondence departments, and undergraduates from the Institute of Veterinary Medicine, Veterinary Sanitary Examination and Agro-Security (N = 31), the Institute of Applied Biotechnology named after RAN Academician Iosif Alexandrovich Rogov (N = 33), the Institute of Biotechnology and Global Health (N = 32), the Institute of Industrial Engineering, Information Technologies and Mechatronics (N = 32) of the Russian Biotechnological University, Moscow, as well as the Russian Customs Academy, Lyubertsy (N = 12) and the Tambov State University named after G.R. Derzhavin (1), who were divided into 3 focus groups: 1st group - 3rd year students from metropolitan and regional universities; 2nd group – 4th-year students from metropolitan and regional universities; 3rd group – undergraduate students from metropolitan and regional universities. Results: The obtained results allowed us to identify a range of issues among students studying in regions and major cities: (1) a sedentary lifestyle during online learning, (2) technical and psychological difficulties, (3) the inability to conduct laboratory research and experiments, (4) difficulties related to the organization of examination and credit events, (5) gaps in knowledge due to the lack of face-to-face interaction with teachers in the context of home education. Conclusion: The results obtained allow for optimizing the development and adaptation of digital practice-oriented courses and their placement on online university platforms.
Development of an Academic Career: Scoping Review

Purpose. To identify and describe the main trajectories of academic career development in the educational and research space. Materials and Methods. The subject field review was based on the PRISMA protocol. Sources were selected from the ScienceDirect and RINC databases. The timeframe of the study is from 2012 to 2022. The development of an academic career was considered in the focus of social-cognitive theory. Results. Initially, 6121 articles were extracted by keywords, of which 127 articles fully met the inclusion criteria for the study (40 in Russian and 87 in English). The characteristics of academic career development were identified in three thematic blocks: (1) individual characteristics and personal resources, (2) contextual influences on the development of an academic career, and (3) active regulation of behavior in the context of an academic career. The main trends in the development of an academic career in Russian and foreign academic practice were identified. Conclusion: In Russia, interest in the issue under study is quite limited, which does not coincide with the focuses of foreign research.
Creating a Course on the Basics of International Employment: A Case Study of the MGIMO Career Center

Introduction. Issues of international careers, despite their extreme relevance, are practically out of sight for universities. Meanwhile, interest in international employment among students and graduates is growing, forming a demand to fill the knowledge gap on the subject of international employment. The MGIMO career center has created an online course “Basics of International Employment,” allowing participants to get answers to the main questions about shaping an international career path. Purpose. To analyze “Fundamentals of International Employment” online course, its dynamics, and feedback from students in order to create mechanisms for optimizing the employment of graduates abroad. Materials and Methods. The research methodology included collecting requests from students, a step-by-step description of the stages of preparing and implementing an online course, as well as a detailed analysis of the results of the questionnaire. The study design is based on the case study. Results. Introduction. Issues of international careers, despite their extreme relevance, are practically out of sight for universities. Meanwhile, interest in international employment among students and graduates is growing, forming a demand to fill the knowledge gap on the subject of international employment. The MGIMO career center has created an online course “Basics of International Employment,” allowing participants to get answers to the main questions about shaping an international career path. Purpose. To analyze “Fundamentals of International Employment” online course, its dynamics, and feedback from students in order to create mechanisms for optimizing the employment of graduates abroad. Materials and Methods. The research methodology included collecting requests from students, a step-by-step description of the stages of preparing and implementing an online course, as well as a detailed analysis of the results of the questionnaire. The study design is based on the case study. Results. The case study analysis recorded the participants’ satisfaction with the course content and technical solution, as well as the correspondence of expectations to the knowledge gained. The author made conclusions about the possible replication of the course preparation mechanics, which includes writing the program, searching for speakers, informing participants. Conclusion. The results obtained can be used to solve problems of professional orientation of university students through online courses, as well as to further develop the topics of the international career of young professionals in the context of both the educational process and business tasks. Conclusion. The results obtained can be used to solve problems of professional orientation of university students through online courses, as well as to further develop the topics of the international career of young professionals in the context of both the educational process and business tasks.
Evaluating the Prevalence of Malaria Parasite Infection among Adults in Wetlands Using Nested PCR and High Resolution Melting Analysis

Background: Wetlands serve as breeding grounds for mosquitoes, the vector of malaria Plasmodium. Effective detection of Plasmodium infection requires a very sensitive method.&#x0D; Aim: The aim of the present study was to evaluate the prevalence of malaria parasite infection in Sagbama LGA, Bayelsa State using nested PCR and high resolution melting analysis (HRMA) technique in comparison with microscopy.&#x0D; Methods: A community based cross sectional study design was employed to randomly select 206 study participants. DNA was extracted from 200 ⴗl of whole blood of each participant and a set of primers was used to target and amplify the 18S rRNA gene of Plasmodium falciparum in both molecular methods.&#x0D; Result: The prevalence of Plasmodium falciparum infection by microscopy was 33.01% (5.8% asymptomatic, 17% mild and 10.2% severe malaria).The prevalence of malaria parasite infection by nested genomic PCR was 71.36% (asymptomatic, 42.20% mild, 18.93%and severe malaria, 10.19%). Prevalence of malaria parasite infection by high resolution melting analysis 92.71% (asymptomatic, 63.59%, mild, 18.93% and severe, 10.19%). All the study participants that were positive for microscopy and nested genomic PCR were also positive for high resolution melting analysis. There were 59.71% and 21.36% false negatives by microscopy and nested PCR respectively. McNemar`s test for pair-wise performance comparisons among the different methods was statistically significant (p &lt; 0.001). High parasite density (19927 ± 749 parasites/µl blood) and hyper parasite density (103667 ± 5214 parasites/ⴗl of blood) were found among asymptomatic and severe malaria subjects (P &lt; 0.000).&#x0D; Conclusion: In conclusion, a high malaria parasite infection prevalence of 92.72% was found in Sagbama LGA. This requires urgent attention especially asymptomatic malaria. HRMA was the most sensitive molecular method and is therefore recommended for future molecular detection of malaria infection.
Dynamic Weight Allocation for Improved Age-Invariant Face Recognition and Age Estimation System: DMT-MFFCNN Approach

The investigation of Age Invariant Face Recognition (AIFR) and Age Estimation has received more attention in real-time applications.However, it is an exciting and challenging task due to the rapidly growing rate of image uploads on the internet in today's data-driven world.Multitask Learning (MTL) has shown great potential across various applications, outperforming single-task learning, mainly when applied in deep multitask networks.One of the most critical issues in MTL is determining the weight of each task.We propose a Dynamic Multitask and Multi-Feature Fusion CNN (DMT-MFFCNN) framework that can jointly perform face recognition and age estimation tasks by adopting the weights of the tasks dynamically based on the difficulty in training them.This approach avoids the exhausting and time-consuming process of manually tuning the weights.In particular, the proposed method can successfully enhance the multitask learning model's performance and can be quickly applied without hyperparameter tuning.We evaluated our model on the FGNET, CACD, and UTK Face datasets and a Live dataset AS-23 containing face images of different ages.In the proposed system, the dataset's images are first converted to grey level and Local Binary Pattern (LBP)images.Next, a Merged dataset is created by combining the features by fusion of original, grey level and LBP datasets.The experimentation is carried out with individual CNN models and the VDeRe-23 feature fusion CNN model.The final step is cross-validating the Merged dataset against a new unseen dataset.Among all the comparisons on Merged Dataset, the VGG-16 model achieved the best face recognition accuracy of 94.06%, and for age estimation with the same model, obtained an MAE value of 1.7 years.Additionally, with the feature fusion model (VDeRe-23), face recognition and age estimation tasks achieved an accuracy of 99.47% and an MAE of 1.67 years, respectively.The results of the extensive experiments have demonstrated that the proposed DMT-MFFCNN yields superior performance than state-of-the-art methods for both face recognition and age estimation tasks using single-task learning.
The Influence of Digital Literacy in Online Learning on Student Learning Outcomes

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; The purpose of the study was to describe the effect of digital literacy in online learning on student learning outcomes and identify the constraints of digital literacy in online learning on student learning outcomes at SDN Klurak Kec.Candi Kab.Sidoarjo. The research is an ex post facto research with a quantitative approach. Data were collected through questionnaires and learning outcomes test documents on 37 students at SDN Klurak Kec.Candi Kab.Sidoarjo. Data were analyzed using descriptive analysis and simple linear regression analysis.&#x0D; The results of the first study showed that the calculated t value was 0.625 &lt; t table 2.030, so there was no effect of digital literacy in online learning on student learning outcomes at SDN Klurak Kec.Candi Kab.Sidoarjo. This is because students' understanding of digital media and the internet in online learning is very limited and does not lead to the use of digital media and the internet to find information.&#x0D; The second research result on digital literacy constraints in online learning on learning outcomes, including motivation/attitude and physical access. Motivation/attitude, including 4 students not having friends, 6 students not understanding the material, and 3 students having time problems, boredom, and sleepiness. Physical access, 5 students did not have a digital device, 5 students did not have a quota, and 3 students had problems with the signal..&#x0D; &#x0D; &#x0D; &#x0D;
Application of Vegetation Indices for Detection and Monitoring Oil Spills in Ahoada West Local Government Area of Rivers State, Nigeria

The study evaluated the environmental effects of an oil spill in Joinkrama 4 and Akimima Ahoada West LGA, Rivers State, Nigeria, using various vegetation indices. Location data for the spill were obtained from the Nigeria Oil Spill Detection and Response Agency, and Landsat imagery was acquired from the United States Geological Survey. Three soil samples were collected from the affected area, and their analysis included measuring total petroleum hydrocarbons (TPH), total hydrocarbons (THC), and polycyclic aromatic hydrocarbons (PAH). The obtained data were processed with ArcGIS software, utilizing different vegetation indices such as the Normalized Difference Vegetation Index (NDVI), Atmospheric Resistant Vegetation Index (ARVI), Soil Adjusted Vegetation Index (SAVI), Green Short Wave Infrared (GSWIR), and Green Near Infrared (GNIR). Statistical analysis was performed using SPSS and Microsoft Excel. The results consistently indicated a negative impact on the environment resulting from the oil spill. A comparison of spectral reflectance values between the oil spill site and the non-oil spill site showed lower values at the oil spill site across all vegetation indices (NDVI 0.0665-0.2622, ARVI –0.0495-0.1268, SAVI 0.0333-0.1311, GSWIR –0.183-0.0517, GNIR –0.0104-–0.1980), indicating damage to vegetation. Additionally, the study examined the correlation between vegetation indices and environmental parameters associated with the oil spill, revealing significant relationships with TPH, THC, and PAH. A t-test with a significance level of p &lt; 0.05 indicated significantly higher vegetation index values at the non-oil spill site compared to the oil spill site, suggesting a potential disparity in vegetation health between the two areas. Hence, this study emphasizes the harmful effect of oil spills on vegetation and highlights the importance of utilizing vegetation indices and spectral reflectance analysis to detect and monitor the impact of oil spills on vegetation.
Generalizing to Unseen Domains via Patch Mix

Abstract Domain Generalization (DG) aims to transfer knowledge learned from multiple source domains to unseen domains. One of the primary challenges hinders DG is the insufficient diversity of source domains, which hampers the model's ability to learn to generalize. Traditional data augmentation methods, which fuse content, style, labels, etc., unable to effectively learn the global features from the source domains. In this paper, we present an innovative approach to domain generalization learning technique, called PatchMix, by stitching the patches of different source domains together to build domain mixed samples. This approach helps the model to learn the common features of different source domains at every glimpse. Meanwhile, a domain discriminator is introduced to preserve the model's ability to distinguish the source domains, which is proved to be helpful for the model to generalize to unseen domains. To our best knowledge, we are the first to unveil the equation that elucidates the correlation between the number of patches and the number of source domains. Our method, PatchMix, outperforms the current state-of-the-art (SOTA) on four benchmark datasets.
INNOVATION OF WEB BASED ENGLISH LEARNING MEDIA DEVELOPMENT

SMP Negeri 1 Garawangi Kuningan is one of junior high schools that uses manual English learning media such as books and paper for learning evaluation. This manual learning system will raise many problems such as longer time consuming the assessment process, moreover, the use of books and paper allows tearing or damage, and it leads to teacher-centered learning process that can make students bored and reduce student learning interest. Therefore, innovation in the development of web-based English learning media for junior high school students is needed. This web-based innovation helps students to learn and understand English after school hours. The target achieved in this study is the production of English learning application that is interesting, easy to understand, and easy to use. This study uses a qualitative descriptive method because it is based on data from direct observation and the theoretical basis of learning media. Meanwhile, for the system development method, Extreme Programming that is consisting of 4 stages i.e., planning design, coding, and testing is used in the study. The result of this study shows that this application of English learning media is accepted to be used by students to learn English after school hours.
MULTILITERACIES PEDAGOGY: A CASE STUDY OF CRITICAL READING IN ELT CLASSROOM BY IMPLEMENTING SITUATED PRACTICE

This research study aims to investigate the implementation of situated practice in multiliteracy teaching within an English Language Teaching (ELT) classroom, specifically focusing on critical reading activities. This study employed a qualitative approach. The study focuses on lecturers delivering lectures to third-year students enrolled in the English Study Program at Teacher Training and Educational Faculty, Timor University, East Nusa Tenggara Province. To analyze the data gathered and insights linked to the situated practice of multiliterate teaching in the ELT classroom, data were transcribed, encoded, displayed, and interpreted. The collected data is subjected to a comprehensive analysis to assess the effectiveness of implementing the situated practice of the multiliteracies pedagogical framework through students' critical reading. The findings revealed a significant enhancement in students' critical thinking abilities due to engaging in a series of learning activities within the Multiliteracy Pedagogy framework.
PROBLEM-BASED LEARNING ASSISTED BY SCROLLING PICTURE MEDIA TO IMPROVE THE THIRD-GRADE ELEMENTARY STUDENTS’ SKILLS IN WRITING EXPRESSION

This paper describes the improvement of third-grade elementary students’ writing skills of expression (instruction, announcement, appreciation, and invitation) of grade 3 elementary students by applying a problem-based learning model assisted by Scrolling Picture media. The research method used was classroom action research. The research was conducted in two cycles. Each consists of four stages, namely planning, acting, observing, and reflecting. The results indicate an increasing average of students' skills in writing expressions (instruction, announcement, appreciation, and invitation) in class. An increasing average score of writing expression skills was 71 when the pre-test results increased to 93 in the post-test of cycle I. In this cycle, the average score increased to 22 or 31%. Meanwhile, students who have reached the Minimum Completeness Criteria have also increased from 46% to 89%. In cycle II, otherwise, the student’s skills to write expressions increased compared to the cycle I post-test, which was from 93 in the post-test of cycle I increased to 98 in the post-test of cycle II. In this cycle, the average score increased by 5 or 5.3%. Meanwhile, students who have reached the Minimum Completeness Criteria also increased from 89% to 100%. It is considered satisfying enough for teachers and researchers as the indicator has been achieved successfully. It can be concluded that there is an increasing average value of expression writing skills by applying the problem-based learning model assisted by Scrolling Picture media. The increase is also seen in the students’ enthusiasm and motivation in participating in learning,carrying out responsibility, and conducting cooperation in finishing the tasks provided by the teacher.