Reviewerly/exHarmony huggingface dataset:
Prediction of Crime Rate in Diverse Environs Using Hybrid Classifier

Authors:
raw_author_name: Sugitha N

Abstract: Crime is the fear and terror among the populace worldwide. Crime is an inherent component of the hazards we encounter daily. In recent times, the mass media has extensively covered numerous criminal incidents, including theft, rape and sexual offenses, robbery, murder, and kidnappings. Various works have been produced to understand the factors that lead to an individual committing a criminal act, the potential dangers involved, and strategies to prevent it. The crime computation technique aims to forecast crime rates, enabling police officers to avoid such incidents effectively. Based on this, a novel prediction approach utilizing a hybrid classifier is suggested. An evaluation of the proposed method was conducted using several criteria. The performance of this recently constructed hybrid prediction model is evaluated by comparing it with established models such as Genetic Algorithm, Particle Swarm Optimization, and Firefly Algorithm. Various performance measures, including error rate, sensitivity, specificity, precision, and execution time, are used for the comparison. Based on the results, this hybrid model is the most optimal crime prediction model compared to the other current models. The suggested approach is executed using the JAVA programming language.
Unified Security Paradigm: Bi-Factor Authentication and Hyper Elliptical Curve Cryptography in IoT-Enabled Cloud Data Protection (BFHECC - IoMT)

Authors:
raw_author_name: Sivakumar K
raw_author_name: Nirmalrani Vairaperumal
raw_author_name: Ramya M

Abstract: Ensuring robust security for cloud-stored sensitive information and medical data is critical in contemporary technological landscapes. Safeguarding cloud data involves encryption, access controls, and authentication methods like TLS and multi-factor authentication. Yet, vulnerabilities such as breaches or misconfigurations pose ongoing threats, necessitating continual improvements. The proposed (BFHECC-IoMT) solution integrates a two-factor authentication model and “Hyper Elliptical Curve Cryptography,” presenting a formidable security infrastructure for cloud storage. This framework strengthens data encryption using conventional (password or PIN) and hyper elliptical curve-based authentication methods. It fortifies security beyond typical measures, increasing resistance to cryptographic attacks during data transmission or storage. On the other hand, integrating IoMT and cloud security, bolstered by Homomorphic Encryption and Elliptic Curve Cryptography (HECC), establishes a robust security framework for managing sensitive medical information. Addressing the oversight in existing healthcare systems, this integration ensures enhanced data confidentiality and integrity during transmission and storage. Seamlessly uniting IoMT, cloud security, Homomorphic Encryption, and ECC facilitates secure data transfer from IoT devices to cloud systems, ensuring stringent security standards for maintaining confidentiality, integrity, and availability. This comprehensive approach secures patient data transmission and provides privacy during analysis, compliance with healthcare regulations, and the overall secure handling and analysis of health data in the healthcare sector.
An Exploratory Study on the Conceptual Factors of Local Education Community Sense

Authors:
raw_author_name: Danam Kwon
raw_author_name: Jinsook Kim

Abstract: The purpose of this study is to explore the conceptual factors that constitute the sense of local education community. For the expansion and development of the local education community, it is important for teachers, who are key members, to have perceptions of the local education community. As for the conceptual factors of teachers' sense of local education community, six conceptual factors were extracted through prior research and consultation with experts: locality, sharing, identity, relationship, practicality, and learnability. A total of 50 survey questions were composed based on the extracted factors. Quota sampling was used to select 170 teachers from elementary, middle, and high schools in Busan as the subject of the survey. For data analysis, exploratory factor analysis and internal consistency (Cronbach's α) were calculated using SPSS WIN 28.0, and correlations were verified. It was confirmed that the main conceptual factors that constitute the sense of local education community recognized by teachers include four factors: ‘locality’, ‘learnability’, ‘relationship’, and ‘collaboration’. Perception of the degree of implementation in each of the four areas of the conceptual factors of local education community sense showed that learnability was the highest, followed by locality, collaboration, and relationship. The results of this study can be used as practical data for developing a tool to measure teachers' sense of local education community and at the same time preparing school-local linked educations.
The Relations of Adolescents’ Achievement Goal Orientations to Academic Failure Tolerance : The Moderating Effects of Attributional Style

Authors:
raw_author_name: Seunghee Lee

Abstract: This study aimed to investigate the relations between adolescents’ achievement goal orientations and academic failure tolerance, and moderating effects of attributional style for the relation between them. 490 middle school students participated in the survey of study. A series of hierarchical regression analyses were used to examine the relationships of achievement goal orientations to academic failure tolerance, and the moderating effects of attributional style for those relationships. Mastery-approach orientation and performance-approach orientation showed a statistically significant positive relation to academic failure tolerance. In contrast, mastery-avoidance orientation and performance-avoidance orientation showed a statistically significant negative relations to academic failure tolerance. In the relationships between achievement goal orientations and academic failure tolerance, attributional style showed different moderating effects. For instance, attributional style has no statistically significant moderating effects in the relationship between mastery-approach orientation and academic failure tolerance. Whereas ability attribution showed a statistically significant negative moderating effect in the relationships of mastery-avoidance, performance-approach, performance-avoidance orientation to failure tolerance. In addition, external(powerful others, chance) attribution showed a statistically significant positive moderating effect in the relationships of mastery-avoidance, performance-approach, performance-avoidance orientation to academic failure tolerance.
Development of Android-Based Interactive Mobile Learning with Guided Inquiry Models to Improve Higher Order Thinking Skills on Light Wave Material

Authors:
raw_author_name: None Suparno
raw_affiliation_string: Universitas Negeri Yogyakarta

Abstract: This research aims to produce Android-based interactive mobile learning with a guided inquiry model of light wave material that is able to improve students' HOTS abilities. This research is a 4D model type research. The research was conducted at MAN 1 Ponorogo, MAN 2 Ponorogo, and SMAN 1 Badegan. The research subjects were 149 class XI MIPA students who gave a pretest-posttest. Student pretest-posttest data were analyzed using 1-way ANOVA to determine the differences in students' HOTS skills in the control and experimental classes. Based on the 1-way ANOVA test, it was found that there were differences in students' HOTS abilities in the two classes. Classes that use Android-based interactive car learning get higher results compared to classes that don't use Android-based interactive car learning.
Effectiveness of Character-Based Comic Media on Environmental Conservation Sub-Material Learning Outcomes

Authors:
raw_author_name: Kurnia Ningsih
raw_affiliation_string: Tanjungpura University, Pontianak, Indonesia
raw_author_name: Anisyah Yuniarti
raw_affiliation_string: Tanjungpura University, Pontianak, Indonesia

Abstract: The utilization of learning media is one of the alternatives to increase knowledge for students, especially biology learning. In addition, student character can be improved through media in which there is character insertion. Thus, an innovative learning media is needed to improve knowledge and character through character-based comics on environmental conservation submaterial. This research method is a quantitative experiment, with a pretest-posttest control group research design. The sample consisted of 28 control class students and 30 experimental class students. The instruments were 20 multiple choice questions and 22 character questionnaire statements. Data analysis techniques include knowledge assessment measured using the Independent samples t-test formula. The results of data analysis showed that the knowledge of experimental class students increased significantly, the learning outcomes in the experimental class showed a higher average of 86.67 while the control class was 74.46, the average difference in learning outcomes between experimental and control classes was evidenced by the independent samples t-test test value of 0.00 &lt;0.05, and student character showed a percentage of 81.44% in the excellent category. It is concluded that character-based comic media on environmental conservation submaterial can help improve cognitive learning outcomes and student character.
The Leitmotif Structure of ‘Signs and Recognition’: Music of &lt;Signs&gt;

Authors:
raw_author_name: Youngho Suh

Abstract: the God's message.
AN ANALYSIS OF EXPRESSIVE SPEECH ACTS IN ONLINE DISCUSSION THROUGH WHATSAPP GROUP

Authors:
raw_author_name: Asia M
raw_affiliation_string: Universitas Negeri Makassar
raw_author_name: Asdar Asdar
raw_affiliation_string: Universitas Bosowa
raw_author_name: Nursamsilis Lutfin
raw_affiliation_string: Universitas Bosowa

Abstract: This study aimed to investigate an analysis of students’ expressive speech acts in online discussion through Whatssapp group. The method used was descriptive qualitative research, and the data source contained expressive speech acts between teacher and students in online teaching and learning. The data came from online teaching and learning interactions between teachers and students for Indonesian language in class VIII at SMP Negeri 35 Makassar with total of 246 students consisted of nine classes and a total of 56 students as respondents. The results found that expressive speech acts can be found everywhere, including in learning Indonesia subject through apologizing, tempting, motivating, hoping, praising, gratitude, thanking, congratulation, criticizing forms and functions of teacher and students’ expressive speech acts. It can be concluded that many expressive speech acts are used in the interactions between teachers and students in online discussion. This research can contribute to the interaction between students and teacher regarding the expressive speech acts in online teaching and learning interactions through WhatssApp group discussion.
Organizational commitment as mediating between administrative creativity and job performance among department managers at Al Hussein bin Talal University

Authors:
raw_author_name: Audeh Alleimoun
raw_author_name: Naseem. M. Twaissi
raw_author_name: Omar M. Alhawtmeh
raw_author_name: Mohamad Rosni Othman

Abstract: This study examines the impact of organizational commitment on administrative creativity and job performance among department managers at Al Hussein bin Talal University. Job performance refers to managers' ability to accomplish their job-related duties efficiently and effectively. Administrative creativity refers to managers' ability to generate innovative ideas and solutions. Organizational commitment is loyalty to an organization. Quantitative research will be used in the study. Surveys will be distributed to department managers at Al Hussein bin Talal University to collect data. The study will use validated measures of administrative creativity, organizational commitment, and job performance. To examine the relationships and mediating effects among the variables, statistical analyses will be performed, such as correlation analysis and mediation analysis. This study will impact human resource management and organizational development practices at Al Hussein bin Talal University. The university can improve department manager performance by fostering a culture that encourages innovation and administrative creativity. In addition, understanding organizational commitment can improve employee commitment to the organization.
Cybersecurity in Tanzania: Opportunities and Challenges

Authors:
raw_author_name: Erasto Kayumbe -
raw_author_name: Ezekia Gilliard -

Abstract: Tanzania, like many developing nations, is undergoing rapid digitalization. While this brings numerous benefits, it also opens the door to increased cybersecurity threats. This abstract explores the unique landscape of cybersecurity in Tanzania, highlighting both the opportunities in emerging digital technology, government initiatives, increased awareness and collaborative approach. On the other hand it describe the challenges that lie ahead such as cybercrime landscape, limited digital literacy, data privacy concerns, inadequate resources and infrastructures.
Accelerating the process of text data corpora generation by the deterministic method

Authors:
raw_author_name: Yakiv Yusyn
raw_affiliation_string: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
raw_author_name: Tetiana Zabolotnia
raw_affiliation_string: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine

Abstract: The object of research is the process of generating text data corpora using the CorDeGen method. The problem solved in this study is the insufficient efficiency of generating corpora of text data by the CorDeGen method according to the speed criterion. Based on the analysis of the abstract CorDeGen method – the steps it consists of, the algorithm that implements it – the possibilities of its parallelization have been determined. As a result, two new modified methods of the base CorDeGen method were developed: “naive” parallel and parallel. These methods differ from each other in whether they preserve the order of terms in the generated texts compared to the texts generated by the base method (“naive” parallel does not preserve, parallel does). Using the .NET platform and the C# programming language, the software implementation of both proposed methods was performed in this work; a property-based testing methodology was used to validate both implementations. The results of efficiency testing showed that for corpora of sufficiently large sizes, the use of parallel CorDeGen methods speeds up the generation time by 2 times, compared to the base method. The acceleration effect is explained precisely by the parallelization of the process of generating the next term – its creation, calculation of the number of occurrences of texts, and recording – which takes most of the time in the base method. This means that if it is necessary to generate sufficiently large corpora in a limited time, in practice it is reasonable to use the developed parallel methods of CorDeGen instead of the base one. The choice of a particular parallel method (naive or conventional) for a practical application depends on whether or not the ability to predict the order of terms in the generated texts is important
Conceptual Framework of Inclusive Human Resource Management to Support Neurodiversity Employment

Authors:
raw_author_name: Rossilah Jamil

Abstract: This study aims to proposed a conceptual framework for inclusive human resource management in supporting neurodiversity employment. As organizations increasingly commit to fostering diversity and inclusion, the integration of neurodiversity into the workforce has emerged as a contemporary trend. This concept seeks to harness the unique talents of neurodivergent individuals, thereby enhancing organizational performance. However, the adoption of neurodiversity also introduces distinctive challenges within organizations’ human resource management practices, an aspect that has received limited attention in the human resource management literature. To address this gap, the study explores institutional forces, human resource management approaches, and perceived inclusion that influence the support for neurodiversity within organizations based on relevant literature. Through this exploration, the authors aim to provide a comprehensive understanding and a practical framework for guiding future research on neurodiversity in the workplace, enriching the discourse on inclusive human resource management and facilitating more informed organizational practices.
Video Annomaly Classification Using Convolutional Neural Network

Authors:
raw_author_name: Muhammad Naufal Rachmatullah
raw_author_name: Sutarno Sutarno

Abstract: The use of surveillance videos is increasingly popular in city monitoring systems. Generally, the analysis process in surveillance videos still relies on conventional methods. This method requires professional personnel to constantly monitor and analyze videos to identify abnormal events. Consequently, the conventional approach is time-consuming, resource-intensive, and costly. Therefore, a system is needed to automatically detect video anomalies, reducing the massive human resource utilization for video monitoring. This research employs deep learning methods to classify anomalies in videos. The video anomaly detection process involves transforming the video into image format by extracting each frame present in the video. Subsequently, a Convolutional Neural Network (CNN) model is utilized to classify anomalous events within the video. Testing results using the CNN architectures DenseNet121 and EfficientNet V2 yielded performance accuracies of 87% and 75%, respectively. The testing results indicate that the DenseNet121 architecture outperforms the EfficientNetV2 architecture in terms of performance.
The Effect of Emotional Display Rules on Service Employee Burnout: A Focus on the Mediation of Challenge Appraisal and Hindrance Appraisal

Authors:
raw_author_name: Yejin Kim
raw_author_name: Kyumin Lee

Abstract: Emotional display rules are official and unofficial requirements on how people&#x0D; should express their emotions to others in organizations, playing crucial roles&#x0D; in emotional management. According to the job demand-resources model,&#x0D; emotional display rules can cause job stress and burnout because they are&#x0D; job demands. However, in light of the challenge-hindrance job stress model,&#x0D; the effect of job demands on burnout may differ according to whether people&#x0D; perceive them as challenges or hindrances. The purpose of this study is to&#x0D; determine the causal relationship among emotional display rules, challenge&#x0D; appraisal, hindrance appraisal, and service worker burnout. In this study, we&#x0D; postulate that emotional display rules increase burnout, while challenge and&#x0D; hindrance appraisals mediate the display rules-burnout relationship. A total&#x0D; of 213 survey responses were collected from frontline workers in the service&#x0D; industry, and an analysis of results revealed that emotional display rules are&#x0D; positively associated with burnout, while challenge appraisal negatively mediates&#x0D; the display rules-burnout relationship. We also found that hindrance appraisal&#x0D; did not mediate between emotional display rules and burnout, while perceived&#x0D; organizational support and self efficacy did not moderate the relationship&#x0D; between emotional display rules and burnout. These results may demonstrate&#x0D; the possibility that service worker burnout can be buffered with the perception&#x0D; of emotional display rules as challenging rather than hindering job demands.&#x0D; In addition, they imply that service workers’ perceptions and mind controls&#x0D; are more important than external factors like organizational support in managing&#x0D; job demands, such as emotional display rules. This study shows the importance&#x0D; of job appraisal in understanding service workers’ stresses and burnout.
Multiuser-Based Fertilizer Supply Information System In East Plongkowati Kud, Grobgan District

Authors:
raw_author_name: None Rusito Rusito
raw_affiliation_string: Universitas Sains dan Teknologi Komputer
raw_author_name: None Priyadi Priyadi
raw_affiliation_string: Universitas Sains dan Teknologi Komputer

Abstract: KUD Plongkowati Timur is located at Jalan Godong-Karangrayung, Grobogan Regency, which apart from operating in the savings and loan business unit, is also a distributor of fertilizer products produced by PT. Petrokima Gresik and PT. Pupuk Sriwidjaja Palembang. In running the fertilizer distributor business unit at KUD Plongkowati Timur, the process of recording purchase and sales transactions is not carried out using an integrated system in the database, all data is still recorded conventionally by the administration section, while the administration section's computer functions to create reports which are copied from notes provided by cashier so that data security is not guaranteed because the database is not yet integrated. Based on the problems that exist in the East Plongkowati KUD, the author would like to propose a design for a Fertilizer Inventory application system to be taken into consideration in helping speed up the process of recording purchase and sales transactions and can provide the information needed by the East Plongkowati KUD, Grobogan Regency in the form of purchase reports, sales reports, reports. suppliers, customer reports. So the design of the fertilizer inventory information system uses the Microsoft Visual Basic 6.0 programming language with a database from Microsoft Access 2007 and the design of reports from Crystal Report 7. It is hoped that making this application can be one of the efforts that can be made to overcome problems that often occur so that it can increase work effectiveness which of course will have an impact on improving the quality of service to customers.&#x0D;