Reviewerly/exHarmony huggingface dataset:
Joint Optimization of Privacy Protection and Resource Allocation for Vehicular Edge Networks

In the last decade, the service of vehicular networks has benefited from the rapid development of advanced communication and computing technologies including edge computing. For vehicular network operators, it is valuable to study how to realize the accurate allocation of edge computing resource on the premise of protecting users’ privacy. In this paper, we design a histogram publishing algorithm based on differential privacy. The algorithm first classifies tasks according to the characteristics of computing requests, then interferes categorized tasks and designs a shuffling algorithm based on Blum Blum Shub (BBS). Finally, the frequency histogram of computing resource is obtained by post-processing of the Expectation-Maximum (EM) algorithm. The simulation results verify the accuracy and superiority of the proposed histogram publishing algorithm by comparing it with the existing methods.
A DenseNet-Based Learning Framework Toward Maritime End-to-End Autoencoder Communication Systems

With the prosperous development of the shipping industry, a variety of emerging maritime services are continuously emerging, highlighting the increased importance and necessity for high-reliability maritime communication. Building upon existing research on end-to-end autoencoder communication systems, this paper proposes a densely connected convolutional networks (DenseNet)-based maritime autoencoder communication system (DenseNet-MAE). Specifically, the DenseNet module is employed to take advantage of its cross-layer connectivity and feature reuse for the extraction of deeper features of the transmitted signal. Furthermore, In order to improve the system’s reliability in low signal noise ratio (SNR) environments, the convolutional code (CC) concept is introduced into the DenseNet-MAE using recurrent neural network (RNN). The DenseNet-MAE utilizes the long short term memory (LSTM) to extract the spatio-temporal correlation of data and solve the "long-term dependency" problem. The maritime channel model is simulated utilizing the Rician fading channel. In order to demonstrate the superiority of the DenseNet-MAE, we utilize a large amount of data to train the network and optimize network parameters. Simulation results show that the proposed DenseNet-MAE exhibits excellent error performance and superior generalizability across varying Rician K factors, channel time slots, and coding rates, compared to the benchmark.
USING JEOPARDY GAME TO IMPROVE STUDENTS’ READING COMPREHENSION OF THE EIGHTH GRADE IN UPT SPF SMP NEGERI 35 MAKASSAR

This research aimed to determine the use of Jeopardy Game learning media on Reading Comprehension Skills of Narrative Text by Eighth Grade students of UPT SPF SMP Negeri 35 Makassar. This research focused on quantitative experimental research. The population of this research was students of class VIII UPT SPF SMP Negeri 35 Makassar, totaling 282 students. Random Sampling technique was used to one class as research sample, which consisted of 28 students. The data were obtained from written tests related to reading comprehension on narrative text. The results of this study used inferential analysis of the t-test by SPSS v.16 which showed a significant effect on the students’ mean score of Reading Comprehension skill between the pretest and post-test. The mean score of the students’ Reading Comprehension on Nrrative Text enhanced from 3.39 in the pretest to 6.46 in the posttest. The significance value calculated 0.000 is smaller than 0.05 (P-value = 0.000 &lt; 0.05). Thus, it can be concluded that Jeopardy Game learning media is effect applied to students’ Reading Comprehension skill on Narrative Text in class VIII at UPT SPF SMP Negeri 35 Makassar.&#x0D;
Development of the university’s reputation mechanism

Purpose: The paper explores the new role of business reputation in the formation of competitiveness of a modern university. Methods: Open Internet data, tools of ecosystem and project approach, methods of system analysis, theory of synergetics and innovation management were used. Results: The definition of “business reputation” and “goodwill” of the university was analyzed. It is shown that the reputation mechanism of the university in the context of a new geopolitical agenda and challenges to national technological sovereignty can and should become an applied tool for the transformation of domestic universities in all development tracks. Practical significance: a graphical model of the university's reputation mechanism is proposed as a set of measures to build a sustainable impact model of the university based on ecology, social policy and corporate governance. The implementation of the activities of the reputation mechanism will become a driver for the key tracks of the university’s policies and projects based on, on the one hand, media activity (both individual employees and departments, and the rector), and increasing the added value of services on the other hand.
Problems of adaptation of young teachers in higher educational institutions (on the example of the Altai Territory)

Professional formation of a personality is a multi-level process that covers a long period of human ontogenesis from the origin of professional interests to the completion of professional activity. One of the most important stages, largely determining the success of professional development, is adaptation to professional activity. Adaptation is the process of “entering” a profession, mastering the knowledge, skills, and skills necessary for its mastery. The problem of professional adaptation is of scientific interest from the perspective of various disciplines: pedagogy, psychology, sociology, vocational guidance, acmeology, etc. The conducted research is based on systematic and interdisciplinary approaches. In this article, the authors carried out a theoretical analysis of the problem of adaptation of young teachers, identified and characterized the main types of adaptation: social, psychological, professional. The article contains the results of a sociological study related to the adaptation of young teachers in higher educational institutions of the Altai Territory. The results of the study made it possible to identify the problems that complicate the adaptation of young teachers at the university. These problems fully reflect the realities of the modern system of higher professional education. The conducted research may be of scientific interest, first of all, for students at the stage of completion of professional education, young teachers, as well as for scientists whose sphere of interests includes professional personal development.
Attitude and perception of sociology students and undergraduates towards their chosen profession and future career

The article analyzes the attitude of sociology students towards their chosen specialty and future profession. The author conducted a sociological study among students studying sociology in leading universities of the country. It was found that girls, unlike boys, rely on the advice of their family, relatives, and friends when choosing their field of study and university. It was also established that master's students, unlike undergraduate students, rely primarily on the advice of friends and acquaintances when choosing their field of study and university, rather than the opinions of their family and relatives. Only about one third of the students believe that the profession of ‘sociologist’ is in demand on the job market. Thus, the majority of students believe that the knowledge, skills, and abilities obtained in the university correspond to the requirements of the modern market. It has been found that the quality of education in the university affects the attitude towards the chosen specialty and future profession. The lower the quality of teaching at the university, the more likely it is that the sociology student will become disappointed in the chosen specialty and profession. It has been established that only a small proportion of students who (unconsciously) enrolled in the sociology program decided to work in the field after completing their studies. It has been established that male students, unlike female students, strive to secure more prestigious (status-oriented) jobs in government or municipal service after graduation, despite their lower pay. For them, status is more important than money. On the other hand, female students aim to get jobs that are not necessarily prestigious, but better paying (such as firms conducting marketing research, etc.). For senior-level students and master’s degree students in sociology, the most important aspect of their future job as a sociologist is the opportunity to influence important decisions in their region or country. First year students aspire to become sociologists mainly because it is a well-compensated profession. Measures aimed at improving career guidance activities are proposed.
Issues of integration of Mass Open Online Courses in the system of higher education

The issues of integration of Massive Open Online Courses (MOOCs) into university education are considered. The relevance and relevance of mass online courses in the system of educational services is substantiated. The basic legal documents confirming the possibility of using various forms of education are given. The main problems of integrating MOOCs into the educational process of the university are analyzed, which are the lack of a single standard for organizing a course in a blended learning format, a standard for assessing the quality of an online course, legal administration of the process of integrating MOOCs into curricula, and staffing developers. The question of the motivation of teachers and students in the process of using MOOK is considered. A typical MOOK structural model is presented and analyzed. It is concluded that the introduction of massive open online courses in the system of university education contributes to the further development of the digital educational space of the university, increasing the effectiveness of higher education.
Specifics of motivation of higher education students’ learning

The article reveals the specifics of motivation for teaching university students. A compiled and tested set of psycho-diagnostic techniques for studying the characteristics of the manifestation of learning motivation in university students is described. It is shown that students with low motivation for learning, compared with students with high motivation for learning, have a number of features in the motivational sphere and personality traits. Recommendations for the psychological services of the university on the development of learning motivation among university students are presented.
Integration of offline and online tools as a vector for improving the effectiveness of educational activities of a regional university

The purpose of the article is to study the experience of integrating online and offline tools in the practice of a regional university, highlighting problematic issues coming from both internal and external audiences that affect the development of integration and the rating of the university. The research vector is aimed at identifying the role of integration of offline and online tools in improving the effectiveness of the university’s professional activities, where integration is based on research and highlighting current trends and requirements of future applicants. The research vector is aimed at identifying the role of integration of offline and online tools in improving the effectiveness of the university’s professional activities, where integration is based on the study and generalization of current trends and requirements of future applicants. The tasks include generalization of knowledge, experience and skills of integration of offline and online tools by a regional university, as well as a comparative study of the practice of regional universities that are competitors in the aspect under study. The monitoring of the studied sphere and competitors is carried out, the results of improving the efficiency of the university’s educational activities against the background of the integration of offline and online tools are presented. The approbation of the results is included in the practical colloquiums of the author of the article, which were highly appreciated by colleagues and groups of students from different universities of Rostov-on-Don in the 2022/2023 academic year.
TIME (KALA): A PRIME FACTOR IN LIFE, ILLNESS &amp; CURE

Ayurveda is a deep science with Adhyatama and also a darshan itself, so for proper health in which mental and physical well-being are involved, various factors are included, and Kala is one of them. Indication by the word Kala (time) represents an appropriate time to do a particular thing. According to conventional medical science, there is a lapse of an interval between two non-simultaneous occurrences; that interval is defined as time. Kala(time) is 'Bhagavan,' having neither a beginning nor an end. In this universe, everything is constantly changing. The change from an earlier condition to its succeeding condition is called Kala (time) or, in other words, 'Parinama.' Ayurveda, a holistic science of longevity, describes Kala(time) as Karana Dravya as it is the cause for the birth and death of all living beings, for the disorders and excellence of the seasons, properties of substances such as taste and potency, the disorders or excellence of strength of Dosha and the body. Kala is the unique and specific causative factor of all types of effects, at the same time; it is unavoidable. That is why Ayurveda, being the science of life, gives emphasis to the concept of Kala.
Genetic Algorithm Application in Route Optimization Using Google Maps API

Route planning from several locations is a common problem encountered. Google Maps provides a feature to plan routes from multiple location but does not provide a feature to find the optimal route from these locations. Based on the survey, 61.9% of respondents have a low level of confidence when planning the optimal route from several locations. So we need software that can help in planning the route. This research utilizes genetic algorithms to help plan routes from several locations. The genetic algorithm used includes components in the form of chromosomes, fitness values, selection, crossover, and mutations. In addition, Google Maps API used as the data source that provides maps, directions, and distance matrices. The design method used extreme programming. The software is made using HTML, CSS, PHP, and JavaScript programming languages with MySQL DBMS. In addition, Black-box and White-box testing method is used in this research. The results of this study are route optimization software that works by using genetic algorithm components to obtain optimal route from several locations with the advantages of using Google Maps API and selecting location points and starting points that are flexible. This study aims to highlight the benefits, limitations, and future prospects of route optimization. The findings of this research will contribute to assist decision-makers in adopting effective strategies related to route optimization.
Data Mining Earthquake Prediction with Multivariate Adaptive Regression Splines and Peak Ground Acceleration

Earthquake research has not yielded promising results because earthquakes have uncertain data parameters, and one of the methods to overcome the problem of uncertain parameters is the nonparametric method, namely Multivariate Adaptive Regression Splines (MARS). Sumbawa Island is part of the territory of Indonesia and is in the position of three active earth plates, so Sumbawa is prone to earthquake hazards. Therefore, this research is important to do. This study aimed to analyze earthquake hazard prediction on the island of Sumbawa by using the nonparametric MARS and Peak Ground Acceleration (PGA) methods to determine the risk of earthquake hazards. The method used in this study was MARS, which has two completed stages: Forward Stepwise and Backward Stepwise. The results of this study were based on testing and parameter analysis obtained a Mathematical model with 11 basis functions (BF) that contribute to the response variable, namely (BF) 1,2,3,4,5,7,9,11, and the basis functions do not contribute 6, 8, and 10. The predictor variables with the greatest influence were 100% Epicenter Distance and 73.8% Magnitude. The conclusion of this study is based on the highest PGA values in the areas most prone to earthquake hazards in Sumbawa, namely Mapin Kebak, Mapin Rea, Pulau Panjang, and Pulau Saringi.
Differential Evolution with Fitness-Based Niching and Adaptive Mutation for Global Optimization

To handle the problem of premature convergence and premature loss of diversity in differential evolution, a niching method fitness-based and an adaptive mutation strategy differential evolution is proposed for global optimization. This algorithm designs a niche partitioning strategy that divides the population into niches with different numbers of individuals based on their fitness and evolutionary stages. Adopting adaptive mutation strategies for the obtained niches enhances the exploitation of superior niches and the exploration of inferior niches, thereby supporting balanced evolutionary search. On the CEC'2015 benchmark function test set, the suggested method's performance is assessed and contrasted with related methods. According to the outcomes, the suggested fitness-based niching and adaptive mutation schemes hold promise for enhancing DE performance.
Reentrancy Vulnerability Detection Based on Conv1D-BiGRU and Expert Knowledge

In recent years, with the increasing number of smart contracts, the economic losses caused by smart contract vulnerabilities have become more and more serious, and the security of smart contracts has received more and more widespread attention. In response to the problems of high false positive rate and low detection accuracy of traditional smart contract vulnerability detection, as well as insufficient mining of smart contract features by deep learning-based methods, a reentrancy vulnerability detection method based on Conv1D-BiGRU and expert knowledge is proposed, which can effectively extract local features and contextual relevance features in the source code of smart contracts, while combining the advantages of traditional expert knowledge vulnerability detection. The experimental results show that compared with deep learning methods and traditional detection methods, the accuracy, recall, precision and F1 score of the proposed method in this paper are all improved, with the F1 score reaching 90.71%.
Speaking Anxiety in Secondary School ( A Case Study in Junior High School )

The aim of this study was to find out there was a factor that made students’ anxiety in speaking English after doing the research in VIII-8 class at SMPN 24Makassar in the 2022/2023 academic year. The approach of this study was qualitative descriptive research with using questionnaire public speaking class anxiety scale. Students’ speaking anxiety was filled by used questionnaire to electing the data. The writer took the eighth grade with 27 students from the population. The method of this study used purposive sampling technique to select a sample from the population. The results of data analysis showed that there was a factor that made students’ anxiety in speaking. The score obtained from factor of embarrassment was 225. In all factors it showed that the number of embarrassment was the highest. Factor of lack of preparation score was 55. It showed that in all factors the number of lack of preparation was lowest from the all factors. It means that factor embarrassment was the most factors that made students’ anxiety in speaking English at eighth grade students at SMPN 24 Makassar.
Use of Emojis for Vocabulary Enhancement

Vocabulary learning using emojis is fun and would enable the expanding of students’ knowledge on words be it previous learnings or new sets of words. This integration in cloze tests makes the level of vocabulary skills increase. Compared to traditional or simple cloze test where students shall supply and fill in the missing words from a pool of words, this innovative cloze test presents emojis as representation of the missing words that the students will supply to complete the thought of the sentence and the paragraph. To ascertain such contention, this study explored the effectiveness of the use of emojis to enhance vocabulary skills of Grade 10 students. The researcher employed quasi-experimental research design to examine the effectiveness of the use of emoji in cloze test as compared to traditional cloze test. Grade 10 students of Balite National High School (n=40 for experimental group, and n=40 for control group) for the school year 2021-2022, comprised the respondents for this study. To collect the data, the researcher used a Cloze Test. A pre-test was administered before the researcher gave treatment to the experimental class, and a post-test held afterward. For data analysis, the researcher used mean and independent t-test. The findings indicated that there was a significant difference in the level of vocabulary skills of the students between the pretest and posttest of both groups. However, in the control group, the level remained static in low level despite the increase in scores after the posttest. On the other hand, the students’ level of vocabulary skills leaped one level higher after the treatment and in the posttest from average level in the pretest to high level in the posttest. Generally, the integration of emoji in cloze test to enhance vocabulary skills was found better and more effective than the traditional cloze test. Results suggested that the participants have positive perception and attitude towards the use of emojis, viewed this as a tool in improving their vocabulary skills, and kept them motivated.
Enhancing Writing Skills of Senior High School’s Humanities and Social Sciences Students Through Online Blogging

Online blogging is the act of creating and maintaining content such as ideas, opinions, essays, images, videos, etc. for a blog that is personally uploaded and shared to a website. In education, it is viewed as a novel and innovative teaching strategy to use for augmenting the writing skills of the students. To ascertain such contention, this study explores the effectiveness of online blogging in enhancing the writing skills of Senior High School’ Humanities and Social Sciences (HUMSS) students. The researcher employed quasi-experimental research design to examine the effectiveness of online blogging as compared to traditional writing. Grade 11 HUMSS students of Balite National High School (n=13 for experimental group, and n=13 for control group) for the 2nd semester of school year 2021-2022, comprised the respondents for this study.To collect the data, the researcher used an Assessment Writing Test in essay form as an instrument. There was a pre-test that was held before the researcher gave treatment to the experimental class and a post-test, which was held afterward. To make the data analysis, the researcher analyzed the data by using mean and independent t-test. The findings indicated that there was significant difference in the level of writing competencies as to focus and details, voice, and grammar and mechanics of the students but in other writing competencies such as organization and word choice there wasno significant difference in their pretest and posttest performance. Generally, the integration of online blogging was found better and more effective than the traditional method. Results suggested that the participants have positive perception and attitude towards online blogging, viewed this as a tool in improving their writing skills, and kept them motivated. Finally, this study recommends that online blogging should be part of the writing classes and be incorporated in lesson planning and designing curricula in senior high school.