Reviewerly/exHarmony huggingface dataset:
Use of library information resources by inmates in custodial centre in Ado Ekiti, Nigeria

This research work examined the custodial centres’ inmates in Ado Ekiti on use of library information resources to facilitate their literacy and education and become rehabilitated for national development. The descriptive survey desing was adopted for this study. The population comprised the convicts, lifers, awaiting trials, and lodgers, which amounted to 620 inmates as of September 2021. Purposive sampling technique was adopted to select both the convicts and the lifers among them as these targets have the opportunity to serve five years and more jail term, and the population now amounts to 135 inmates as the sample size while total enumeration swas chosen at the end to count the sample size. A large percentage of the inmates agreed that the use of library information resources was a must for them. It was found that majority of the inmates wished to become university graduates. It was also found that most of the information resources that could meet the users’ needs were not available. It was recommended that government should assist these vulnerable people by equipping the centre’s library with the relevant information resources that would go a long way to rehabilitate the inmates.
EFL Student’s Perception of MALL for Pronunciation Proficiency

&lt;p class="abstrak"&gt;Mobile Assisted Language Learning (MALL) greatly influences the success of pronunciation proficiency. Several previous studies have been conducted on the positive effect of MALL on Increasing pronunciation proficiency. however, the students' perceptions of MALL in increasing pronunciation proficiency are rare. Therefore, it is necessary to investigate the perception of using the teaching technological tool. This study used a survey research design. Sixty-nine English students at one Islamic higher education institution in Jambi, Indonesia voluntarily participated in this study. Data from participants were collected using questionnaires and then analyzed using SPSS 26. The research results showed that there was a statistically significant difference in perception of the usefulness of MALL, but no statistically significant difference in perception of the ease of MALL regarding gender. This means that the results indicated that the students positively perceive MALL in the process of teaching and learning.&lt;/p&gt;
A Novel Algorithm for Professor Recommendation in Higher Education

This paper introduces a novel professor-recommendation system designed specifically for community college and university courses. Building upon an existing algorithm for one-on-one teacher recommendations, we leveraged insights from the literature on Massive Open Online Course (MOOC) recommender algorithms. By analysing various approaches, we combined and refined ideas to develop an optimised system. Our approach utilises a tri-module framework that incorporates supervised and unsupervised learning techniques. The first module employs a Gradient-boosted Decision Tree algorithm, augmented with multiple factors and student dropout rates as ground truth, to generate a ranking score. The second module applies Apriori Association and Density-based Spatial Clustering of Applications with Noise (DBSCAN) algorithms to analyse these factors and identify professors with similar characteristics. In the third module, item-based collaborative filtering is employed, incorporating user ratings and the cosine similarity algorithm. The outputs from these three modules are subsequently integrated through a weighted average. This addition enables the system to prioritise opportunities for new professors, thereby ensuring a balanced recommendation approach. The resulting combined ranking score provides accurate recommendations for course instructors. This approach can be integrated into university course selection software for the benefit of both students and educational institutions.
Perspectiva docente sobre el aprendizaje de inglés con herramientas digitales: implicaciones emocionales y actitudinales

When teachers of English as a foreign language (EFL) choose a digital tool to use in their classroom, their choice will be motivated by different aspects, among which we find the possible effects that the tool can have on their students at an emotional and attitudinal level. This research paper investigates the main digital tools used by EFL teachers in Spain, analysing the attitudinal and emotional effects they present for students from the point of view of the teachers who decide to use them. To collect data, a questionnaire was validated and distributed among 110 Spanish Secondary Education EFL teachers using snowball sampling. Results are summarized in two main tables, in which any teacher will be able to find all the positive and negative emotional and attitudinal effects associated with each tool. Of all the tools analysed, Flipgrid stands out as the most valued one, highlighting its usefulness in developing autonomy, self-regulation, self-confidence, creativity and communication.
Pegaruh Pembelajaran Daring dan Kemandirian Belajar terhadap Hasil Belajar Siswa SMA Negeri 2 Kefamenanu

One of the schools that applies online learning is SMA Negeri 2 Kefamenanu. Problems obtained from the results of online learning interviews at schools are less than optimal due to mastery of Android processing, less than optimal network access, lack of responsibility for students in doing assignments, lack of discipline so that learning outcomes are minimal. The purpose of the study was to find out (1) how much influence online learning had on student learning outcomes (2) how much influence independent learning had on student learning outcomes (3) how much influence online learning and independent learning had on student learning outcomes at SMA Negeri 2 Kefamenanu. The type of research is quantitative research, ex-post facto method which consists of two independent variables and one dependent variable. The sample of this research is the students of class X MIPA, totaling 90 people. Techniques and instruments of data collection using questionnaires, documentation and student learning outcomes using report cards. Based on the results of the study, it was concluded that (1) there is no effect of online learning on student learning outcomes with an R² value of 0.003 (2) there is no influence of independent learning on student learning outcomes with an R² value of 0.031 (3) there is an influence of online learning and learning independence on student learning outcomes of SMA Negeri 2 Kefamenanu with an R² value of 0.080.
Analysis of Several Problems of Modern Distance Education in Colleges and Universities—Take Chongqing as an Example

With the development of science and technology, distance education has gradually attracted people's attention. At present, a large number of use scenarios of distance education have appeared in the society, and many colleges and universities also regard distance education as a means of universal education. Distance education can accelerate the pace of education and facilitate the teaching activities in different people. However, there are also many problems in the process of use, especially the concern about the quality of teaching has become an indelible shadow in the hearts of many people's minds. Therefore, this paper will analyze the problems existing in the objective and subjective distance education for the current scenarios used in distance education, and give reasonable suggestions. In previous studies, many people mainly attributed the teaching quality of distance education to the subjective reasons, rather than objectively discussing the objective factors of distance education on the teaching quality of enterprises. Therefore, this paper will focus on the evaluation of teaching quality from the objective and subjective perspectives.
A study on density based spatial clustering of applications with noise​

This poster, "Study on DBSCAN," provides a detailed overview ofthe Density-Based Spatial Clustering (DBSCAN) algorithm for noisyapplications. In this brief presentation, the basic concepts, algorithmperformance is clearly demonstrated. Through a practical example,demonstration on how DBSCAN identifies clusters and outliers in spatialdata, providing viewers with a clearer understanding of this importantclustering technique.​
A Simple Policy Update Method for the Sharing of Privatized Personal Health Information

A few medical services suppliers utilize electronic individual wellbeing records (PHRs) to empower individual patients to deal with their own wellbeing information in a vigorous and versatile climate, especially with the high adaptability and openness of information re-appropriating conditions like distributed computing. On the other hand, protected health records (PHRs) contain extremely private and private information. In addition, PHR owners ought to be able to customize a secure and adaptable access policy for their outsourced data. In addition to basic authentication, existing commercial cloud systems frequently include symmetric or public key encryption as an optional feature to protect users' data confidentiality. Nonetheless, due of the great key administration above of symmetric encryption and the high upkeep cost of keeping up with various duplicates of ciphertext for public key encryption arrangements, such old-style encryption calculations are not great for information reevaluating environments. A lightweight access policy update and a secure, fine-grained access control system for outsourced PHRs are the focus of this study. The ciphertext strategy quality-based encryption (CP-ABE) and intermediary re-encryption are the underpinnings of our proposed technique (PRE). We also offer a policy versioning strategy that makes it possible to trace every policy change. Finally, in order to demonstrate that the suggested strategy works, we carried out a performance evaluation.
Facial Expression Recognition Based on Convolution Neural Networks and Edge Computing

Face recognition is a computer technology that can identify human faces in digital images. It is used in a variety of applications. Face expression recognition (FER) on the other hand is a system that analyzes facial expressions in photographs and videos to disclose information about a person’s emotional state. The objective of the research is to improve accuracy during face detection and facial expression classification like happy, sad, neutral, anger, and joy. The LFW dataset has been considered for training. Python platform is making use of TensorFlow and Keras library. Research is considering a convolution neural network (CNN) model for classification. Preprocessing faces is considered noisy, denoise, and natural images. Then, edge detection mechanism is applied to these images. Resizing operation is performed after word. Finally, the CNN model has been applied to perform training and testing. Accuracy parameters such as precision, recall value, and F-score have been evaluated.
AN EMPERICAL INVESTIGATION ABOUT ROOTS OF ATTRITION: FACTORS INFLUENCING FACULTY ATTRITION- A STUDY OF MOVERS IN PROFESSIONAL INSTITUTIONS

When a faculty leaves an institute in the middle of the academic session, he or she puts the entire institute to loss. The students suffer because their course is not completed on time, the administration suffers because they receive complaints from the parents of the wards that syllabus is not being completed properly; other teachers suffer because the pressure on them increases. Due to all these reasons, the attrition of faculty from an institute needs to be taken care of. &nbsp; Attrition, if not checked, brings down the productivity level of the remaining employees. Today for many academic institutions, teacher attrition has become an important issue because the institution’s ability to hold on to highly talented core faculty members can be crucial to attract students and the institution’s future survival. &nbsp; Teaching profession is different from other professions. It is more sensitive because it deals with students. Thus, faculty behaviour in terms to switching institutes must be regulated in far more disciplined manner than in case of other professions. The focus must be to control the attrition or deter the young teachers from switching over institutes too frequently. &nbsp; Faculty attrition is a very important phenomenon for education sector especially for professional institutions. It is the faculty that sets the tone of an educational institution to move forward, a much bigger challenge is that of a high turnover, since a number of faculty members switch organizations every year. The sudden loss of these knowledge pool impacts on existing academic plans of organization in a negative manner. Therefore, it is of utmost importance that institutions should design and pursue policies/mechanisms so as to compete well in market place to attract and retain for them the best faculty talent over a long period of time.
Geostatistics and inverse distance weighing (IDW) multivariate interpolation methods for regional geochemical stream sediment survey for base metal prospecting around Wapsa, Solukhumbu District, Nepal

A systematic regional geochemical stream sediment survey for base metals copper, lead, and zinc over an area of 200 sq.km was carried out around Wapsa in Solukhumbu District. 200 stream sediment samples were collected from active streams and analyzed them using atomic absorption spectrometry (AAS) method. All chemical analysis data were interpreted with geostatistical analysis and inverse distance weighing (IDW) multivariate interpolation method using the geographical information system (GIS). The results have shown consistency with geology, homogeneity, and mineralization in the area which is verified with significant copper anomaly over an old working area around Wapsa. The log10 transformed data of Cu, Pb, and Zn were used to estimate threshold and anomaly determination. The method is valid for regional geochemical stream sediment surveys for base metals prospecting.
KD_ConvNeXt: knowledge distillation-based image classification of lung tumor surgical specimen sections

Introduction: Lung cancer is currently among the most prevalent and lethal cancers in the world in terms of incidence and fatality rates. In clinical practice, identifying the specific subtypes of lung cancer is essential in diagnosing and treating lung lesions. Methods: This paper aims to collect histopathological section images of lung tumor surgical specimens to construct a clinical dataset for researching and addressing the classification problem of specific subtypes of lung tumors. Our method proposes a teacher-student network architecture based on a knowledge distillation mechanism for the specific subtype classification of lung tumor histopathological section images to assist clinical applications, namely KD_ConvNeXt. The proposed approach enables the student network (ConvNeXt) to extract knowledge from the intermediate feature layers of the teacher network (Swin Transformer), improving the feature extraction and fitting capabilities of ConvNeXt. Meanwhile, Swin Transformer provides soft labels containing information about the distribution of images in various categories, making the model focused more on the information carried by types with smaller sample sizes while training. Results: This work has designed many experiments on a clinical lung tumor image dataset, and the KD_ConvNeXt achieved a superior classification accuracy of 85.64% and an F1-score of 0.7717 compared with other advanced image classification methods
Experience in Implementing an Additional Professional Advanced Training Program “Extracorporeal Membrane Oxygenation. Basic Course" at the Training and Accreditation Center — Medical Simulation Center of the Botkin Hospital

Training of anesthesiologists-resuscitators under the additional professional advanced training program “Extracorporeal membrane oxygenation. Basic course "(18 academic hours) at the Medical Center of the Botkin Hospital.
The Importance of Professional Retraining in the Taught Specialties for the Staff of the Simulation Training Department

Due to the fact that the teachers of the Department of Simulation Education teach not only students, but also residents and doctors of various specialties, they must regularly improve their knowledge, skills and abilities through advanced training and professional retraining in order to maintain their professional competencies and improve the level of the educational process. The presence of several specialties for a teacher in different disciplines is a necessity dictated by a new approach to simulation training.
Assessing the Involvement of Teachers in the Development of Innovative Pedagogical Technologies

Mastering practical skills with the help of simulation technologies has a number of advantages over traditional methods. An important role here is given to teachers and their involvement in the development of innovative pedagogical technologies. The study considered the motivational aspect of involvement — the level of participation of teachers who use simulation equipment during training sessions, the assessment of the performance indicators of the teaching staff in terms of the use of simulators.
Enhancing students' pedagogical potential with practice-oriented courses in teacher education universities

The main aim of this study is to evaluate the effectiveness of the course designed by the author, which focuses on practical application, in improving students' pedagogical skills. Furthermore, the research aims to identify the challenges faced by teacher education institutions in this context and examine the mechanisms involved in improving pedagogical capabilities. The evaluation of students' instructional capacity is conducted through the utilization of both quantitative and qualitative methodologies. The Mann-Whitney U-test statistical test was used to confirm that the data conformed to the normal distribution law. The research encompassed a sample of 51 students from Zhetysu University, specifically named after I. Zhansugurov, located in Kazakhstan. The results showed that the conditions for supporting the pedagogical potential of students are not sufficiently created at the university. This demonstrated the necessity of the upcoming tasks, which included the introduction of the author's practice-oriented course and the development of pedagogical environments for the preparation of future educators to enhance their pedagogical potential. Finally, higher education policy experts in Kazakhstan might employ "practice-oriented courses" and pedagogical settings to improve the pedagogical expertise of future educators in pedagogical universities.
Sentiment Analysis Using Convolutional Neural Network Method to Classify Reviews on Zoom Cloud Meetings Application Based on Reviews on Google Playstore

Zoom Cloud Meetings is an application that is used to conduct video conferencing. On the Google Play Store, the Zoom Cloud Meeting application received a rating of 3.8, with 500 million more downloads as of March 2021. The application has many advantages, such as not being disturbed by pauses in conversation and having good video and audio quality. The advantages possessed by these applications require development so that application services are getting better. For this reason, user reviews are needed to see user satisfaction with the application so that they can determine services that can be developed in the future. Based on this, this research was created to create a web-based application that can classify user reviews of the Zoom Cloud Meetings application using the Convolutional Neural Network (CNN) method and calculate the accuracy value. This application is built using the Flask framework and the Python programming language. Model training is carried out using the TensorFlow library. Applications that have been made are then tested using two stages of testing, namely system testing with black box and data testing. Based on system testing, it was found that the website can run well, and for data testing using test data, the accuracy result is 91.5%.
π-phase-shifted two-plus-one method for non-diffuse surface

We propose a method for reconstructing non-diffuse surfaces based on the π-phase-shifted two-plus-one phase-shifting method. First, we introduce a 2fH + a + 2fM + 2fL method for unwrapped phase extraction. Subsequently, we introduce a new set of π-phase-shifted 2fH + a/2 + 2fM + 2fL fringe patterns with halved background intensity. The saturated pixels will be replaced with the unsaturated pixels in the π-phase-shifted fringe patterns. Finally, we analyze eight fringe replacement cases and give the corresponding phase calculation, and further give the general formulas. Experiments confirm that the sum of the phase error of the proposed method is 81.4% lower than that of the traditional method, and 61.5% lower than that of the adaptive fringe projection method.
Future Learning Competency Extracurricular Program Operation and Performance Analysis

Purpose: This study has public value as it identifies the current status and problems of extracurricular program. It does so by analyzing the operation and performance of extracurricular program after selecting them based on the results of student needs analysis. Additionally, it verifies whether participation in extracurricular program has an effect on self-efficacy and suggests implications for future program design and activation.&#x0D; Method: Data collection was conducted by surveying students in the science department of O University in the Seoul metropolitan area, and analysis methods included frequency and percentage, exploratory factor analysis, reliability testing, correlation, and regression analysis. The research questions are&#x0D; 1. How is the selection of extracurricular program based on students' needs analysis? &#x0D; 2. What are the results of the analysis of the operational performance of extracurricular program?&#x0D; 3. Is participation in extracurricular program effective in promoting self-efficacy?&#x0D; Results: Based on research question 1, the extracurricular program selected were the Creative Convergence Competition, the Foreign Student Mentoring Program, 5L DAY, and the 3D Printing Instructor Certification Course. According to research question 2, the creative convergence competition was able to develop core competencies outside the major and needed communication channels between departments. International student mentoring needed to strengthen the criteria for international students to participate in the program, and the 3D printing instructor certification course needed online lectures for theory and in-person lectures for practice. 5L DAY had the highest level of satisfaction among the comparison programs. According to research question 3, participation in the Future Learning Capability Program was effective in improving self-efficacy.&#x0D; Conclusion: The limitations of this study include that the research subjects are limited to the science departments of metropolitan universities, and the effectiveness of the “Future Learning Competency” extracurricular program is verified among the core competency-based extracurricular program of universities, and subsequent research requires subdivision by department and grade, and research on various factors such as learning effectiveness and satisfaction.