Reviewerly/exHarmony huggingface dataset:
SMOTE Variants and Random Forest Method: A Comprehensive Approach to Breast Cancer Classification

This research focused on using machine learning methods for breast cancer diagnosis, considering that breast cancer is the scariest disease for women because it can cause mortality. Not only that, but there is also an increase in breast cancer death rates in women yearly. Early prediction is the right solution to increase life expectancy and reduce mortality rates caused by breast cancer. However, breast cancer data has a problem, namely that the data is imbalanced, which harms the performance of the machine learning method itself. In the data, breast cancer had a Benign class (357 instances) more than the Malignant class (212 instances). Therefore, this study aimed to solve the problem of imbalanced data using the Smote variants and Random Forest approaches in breast cancer classification. The results of this study showed that the Smote approach with Random Forest had the best performance compared to Borderline Smote and Random Forest in the case of breast cancer data classification, where Smote with Random Forest produced an accuracy of 97.3%, sensitivity of 96.9%, and specificity of 97.8%. In comparison, Borderline Smote with Random Forest produced an accuracy of 96.4%, sensitivity of 95.6%, and specificity of 96.9%. The results of this study can contribute to predicting breast cancer using the proposed method, because it has been proven to have high accuracy.
Understanding the Dynamics of Social Support, Self-efficacy, and Academic Stress in the Context of Online Learning: Evidence from Undergraduate Students

Engaging in remote learning presents substantial challenges, particularly in emergencies such as a Covid outbreak. The transition to online teaching can introduce additional stressors. This study investigated the association between social support, self-efficacy, and academic stress among undergraduate students. Furthermore, it sought to identify predictors of academic stress during online learning and examine the mediating role of social support in the relationship between online self-efficacy and academic stress. This study uses a convenience sample of 200 undergraduate students – 138 females (69%) and 62 males (31%), aged between 18 and 24 years. Data were collected using the social support scale, online self-efficacy scale, and academic stress scale. Bivariate correlation analysis revealed a negative correlation between family support and academic stress, while no significant correlations were observed with friends’ or significant others’ support. Moreover, no significant correlation was found between online self-efficacy and academic stress. Results also indicated a positive correlation between online self-efficacy and all dimensions of social support. Multiple regression analysis demonstrated that a combination of online self-efficacy and social support could predict academic stress. In conclusion, social support is pivotal in mitigating academic stress during emergency remote learning.&#x0D; Keywords: academic stress, online self-efficacy, social support
Strategi Mapping Classroom dengan model Quantum Teaching Untuk Meningkatkan Percaya Diri Tampil di depan Publik Untuk Generasi Kota Batam

The urgency of this activity is to increase the courage of the younger generation to appear with good communication in front of the public. The purpose of this activity is to train the younger generation who are students to be able to communicate. The problem that occurs is the lack of confidence to appear in front of the public, the benefit of this activity is that the training participants are expected to be able to appear in front of the public individually or in groups. The target of this activity is that participants display artistic creativity uploaded on social media, namely tiktok. generation to run the wheels of Indonesia EMAS for that it is necessary to carry out activities that can improve their abilities. There were 350 participants, the training technique used the Mapping Classroom Strategy approach so that participants could communicate in small groups as the first step. Then the material is given using the Quantum Teaching model which involves speakers and participants to explore talents that can be presented and staged in publications on social media.
Job Satisfaction and Organizational Citizenship Behavior (OCB): The Moderating Role of Social Identity

Organizational citizenship behavior (OCB) is a contribution from individuals who go beyond the role in the workplace from what is assigned and rewarded. Employees who are satisfied with their jobs may be more able to bring out OCB behavior. The relationship can be strengthened by each individual’s social identity. The purpose of this study was to determine the moderating role of social identity on the relationship between job satisfaction and organizational citizenship behavior. The subjects of this study were 75 employees who worked at the Aster Cosmetic company in Malang. The total sampling method was used, wherein the entire population served as the subject. A quantitative research design was used. Data were analyzed using the Hayes PROCESS. The results show that job satisfaction significantly affects OCB behavior. It can be explained that the higher a person’s job satisfaction, the more able the employee will be to show OCB behavior. Meanwhile, social identity is not able to moderate the relationship between job satisfaction and OCB.&#x0D; Keywords: job satisfaction, OCB, social identity
Mineralogical Prospecting and Characterization of Auriferous Placers in the Elogo Region: Insights into Primary Gold Deposit Exploration Strategies

Placer accounts for nearly 31% of global gold production between 1984 and 2006. The Elogo region has a historical legacy of artisanal and semi-industrial gold placer mining dating back to colonial times. Currently, the area is undergoing extensive exploration targeting a primary gold deposit. This study aims to contribute to understanding the primary gold deposit in the Elogo Region in the North-West of the Congo Republic. The methodological approach involved the comprehensive characterization of placer deposits, encompassing lithological and mineralogical aspects and the morphological features of gold grains. The objective was to delineate the origin of gold in relation to the local geological context. The obtained results reveal that the alluvial deposits are polygenic, comprising seventeen mineral species, namely zircon, olivine, magnetite, ilmenite, gold, garnet, rutile, coltan, cassiterite, monazite, apatite, amphibole, tourmaline, pyrite, limonite, chromite, and amphibole. Morphoscopic analysis of gold grains indicates the presence of single grains and grains with quartz inclusions, suggesting an association with quartz veins. Gold grains exhibit flattened, sub-flattened, and rounded morphologies. In the northern Elogo region, coarser quartz-included gold grains are prevalent, which implies a proximal source (within 50 meters). Conversely, the southern region displays finer and more evolved grains with choc marks, indicating a distal source (beyond 300 meters). Multivariate statistical analysis delineates seven sample classes corresponding to distinct mineralogical parageneses, pointing to varied sources, including high-grade metamorphic rocks, granitoids, pegmatites, basic and ultrabasic rocks, and banded iron formations (BIFs), which contributed minerals to the placer deposits. Gold predominantly originates from hydrothermal quartz veins, potentially undergoing peptization from the weathering of sulfides in the BIF. Therefore, in the Elogo region, exploration efforts for primary gold deposits should focus on identifying and tracing the hydrothermal system within the area. The integration of chemical analyses for both gold grains and associated minerals is imperative to enhance the precision of proposed geochemical prospecting strategies.
Evaluasi Pengembangan Pembelajaran Biologi Berbasis Media E- Learning pada Mahasiswa Tadris Biologi 3 Semester VI Universitas Islam Negeri Sumatera Utara

The word learning is not far from a word, namely evaluation, along with the development of the times, and with the sophistication of existing technology, various kinds of media have emerged in the application of learning. E-Learning is the answer to all the sophistication that exists at this time. Where learning methods using technology are currently needed because of advances in technology in each place of learning, whether it's a school or college. This study uses the Research and Development method. The purpose of this study is to determine the development of E-Learning media-based learning. The results of the data that the researcher will obtain are the responses of Tadris Biology Students Semester 3 VI UINSU. Hopefully what is expected with this article can be an alternative choice or reference in conducting a study.
THE EFFECT OF THE STUDENT FACILITATOR AND EXPLAINING (SFAE) LEARNING MODEL REPORTING TECHNIQUES ON WRITING SKILLS

Indonesian is one of the main subjects in the world of education in Indonesia. Language skills in these subjects include aspects of listening, reading, listening, speaking, listening and writing. The type of research used is quantitative. This research is called quantitative because the research data is in the form of numbers and the analysis uses statistics. Quantitative research is based on the philosophy of positivism which emphasizes objective phenomena that are studied quantitatively or using numbers, statistical processing, structure, and controlled experiments, (Sukmadinata, 2010: 53). In this subchapter two things are described. First, the skill of writing news texts before using the Student Facilitator And Explaining model assisted by reporting techniques for grade VIII students of SMP Negeri 15 Padang.
Analysis of the current situation and identification of problems in the evaluation of intellectual potential

This paper discusses the theoretical and methodological foundations of the study of the intellectual potential of the population. In the presented research, intellectual potential is the subject of multidisciplinary studies, particularly philosophy, sociology, economics, technology, psychology and pedagogy. To this end, this paper analyzes intellectual potential as a multidisciplinary research field, and examines the main theories, concepts and approaches in this field. Relevant scientific literature on the evaluation of intellectual potential is studied, actual research fields are determined, and their current status is analyzed. The indicators for the evaluation of research activity and efficiency of science in research institutions and organizations are determined. This work explores the international experience in evaluating the activities of scientific organizations, and analyzes the purpose, organization and results of the evaluation in some countries. In the end, it examines the state-of-the-art of scientific potential in the scientific organizations and institutions of Azerbaijan, and presents the important results of the conducted fundamental and applied research and some indicators used in the evaluation of the activity of research organizations.
A medicolegal perspective on the issue of cyberbullying in Turkey: A retrospective descriptive study on medical specialization theses

In recent years, the issue of cyberbullying has attracted the attention of researchers from many different fields as well as medical professionals. The aim of this study is to discuss the descriptive variables of medical specialty theses written on cyberbullying in Turkey in terms of forensic medicine. In this study, using the keywords "cyberbullying" and "cyber violence", theses registered in the Thesis Documentation Center of the Council of Higher Education were scanned. As a result of the screening, among 179 theses, 15 medical specialty theses related to the subject were examined within the scope of the study. The distribution of the 15 theses examined according to specialty areas was n:7 (46.6%) psychiatry, n:4 (26.6%) family medicine, n:1 (6.6%) forensic medicine, n:1 (6.6%) child and adolescent mental health and diseases, n:2 (13.3%) pediatrics. The peak in the writing of specialty theses was in 2019 (n:4). The population of the theses consisted of individuals aged 12-18 years in n:10 (66.6%) and 10-18 years in n:3 (20.0%) and university students in n:2 (13.3%), respectively. It was determined that questionnaires were used as the instrument and method in all of the theses analyzed. Most of the theses analyzed were conducted on adolescents between the ages of 12-18. There were no thesis studies among adults without or not a university degree. In future studies, these populations should also be examined. Due to its effects on people, it was thought that there may be an increase in the number of patients exposed to cyberbullying in the fields of psychiatry and forensic medicine. Therefore, it is necessary to increase medical awareness and conduct more studies on the cyberbullying issue.
Tutor Quality, Facilitating Conditions, and Perceived Usefulness as Predictors of Pre-service Teachers’ Satisfaction in an E-learning Environment

Student satisfaction is one of the components used to measure the success and effectiveness of e-learning. This study examined the determinants resulting in pre-service teachers' satisfaction in an e-learning environment. Using structural equation modelling, student satisfaction was assigned as the endogenous variable, while tutor quality, perceived usefulness, and facilitating condition were the exogenous variables. Similarly, the construct was tested for its mediation effect towards student satisfaction from teacher quality and facilitating conditions, respectively. A total of (n=471) pre-service teachers enrolled in one of the colleges of education in Bhutan voluntarily responded to the survey questionnaire that followed a cross-sectional design. The results of the structural equation analyses indicated that student satisfaction was significantly determined by its antecedents, with tutor quality and facilitating conditions taken together resulting in an R2 of 0.82. Moreover, it was observed that tutor quality and facilitating conditions exerted a positive direct effect on the satisfaction dimension. The results also revealed that perceived usefulness has a statistically positive mediated effect on student satisfaction through tutor quality and facilitating conditions. The model proposed and tested in this study demonstrates that the tutor quality, facilitating conditions, and perceived usefulness can measure the e-learning satisfaction of students. The findings of this research may be helpful for administrators, policy planners and practitioners in the field of e-learning development to identify the elements that affect student satisfaction and further strengthen the existing e-learning programmes, particularly in developing Asian countries.
The equivalence of violence against women on social media: Acts constituting digital violence and their place in the Turkish Penal Code

This study aims to explore women's perceptions of digital violence across different age groups, educational backgrounds, and marital statuses. It also investigates their awareness of digital violence on social media and their coping strategies when exposed to such acts. Additionally, their knowledge, attitudes, and behaviors regarding whether digital violence constitutes a crime were examined. Within the scope of the research, a survey form as a preliminary study was applied over the internet throughout Türkiye. According to the findings, 51.2% of the participants answered that they did not think they were exposed to acts of digital violence on social media. The findings revealed that 43.9% of the participants, who initially indicated that they had not experienced acts of digital violence on social media, stated that they were exposed to certain acts of violence such as being insulted and sworn at, falling victim to fraud, receiving threats and blatckmail, enduring harassing messages, discovering fake accounts created in their name with personal photos, etc., 47.7% of the participants stated that "Digital/Cyber Violence" is treated as a separate crime in the Turkish Penal Code. In response to the question ‘What would you do if you were exposed to the above action(s)?’ 83.3% of the participants marked the item 'I would block the related person from my social media accounts', 48.3% 'I would change the passwords of my social media accounts'. Consequently, looking at the answers of the women who participated in this survey, it was concluded that they were not aware that they were subjected to digital violence and that the actions they were exposed to were acts of digital violence. In this context, digital violence should be treated as a serious problem, and awareness, prevention and coping methods should be implemented.
A Literature Review of AI-Powered Systems for Monitoring Suspicious and Anomalous Activities

This study of the literature focuses on the use of AI-powered systems in educational settings, examining the field of systems created to monitor suspicious and unusual activity. The paper explores the developments in data analytics, machine learning, and artificial intelligence that make advanced monitoring systems possible. It looks at the technology, approaches, and studies that have already been used to build these kinds of systems, highlighting how well they work to identify anomalous behavior in student environments. The assessment also identifies obstacles, moral issues, and prospective future paths in the creation and application of AI-driven solutions for boosting security and promoting a secure learning environment.
Fuzzy Conjoint Need Assessment Method for Model Development Justification

This paper proposes a Fuzzy Conjoint Need Assessment Method (FCNAM) procedure for model development justification. The failure to select the analysis method and neglect the data when completing the needs assessment, before developing a model, leads to incorrect implementation of the justification. There is a misunderstanding in the requirements analysis, and certain elements that should be considered in the model's design and development may be overlooked. Therefore, as an alternative method in the model development justification procedure, the fuzzy conjoint analysis method together with the triangular fuzzy number is used as a data analysis medium in the need assessment survey. As an implementation and evaluation of the FCNAM procedure, a need assessment survey involving 53 mathematics teachers was conducted to justify the need for the development of a student's mathematics problem-solving ability (SMPSA) measurement model. This procedure is proven to comply with the guideline need assessment, which is to successfully confirm gaps related to mathematics problem-solving ability, describe the perspective of teachers as users and practitioners of the proposed model and synthesize the level of development needs of the model involved. This paper contributes knowledge about the application of the triangular fuzzy number-based conjoint method in perception surveys and introduces a more effective model development justification procedure.
Carbon-derived Black Soldier Fly (BSF) Larvae for Adsorption of Methylene Blue Dye: Characterization, Kinetic and Thermodynamic Studies

The most effective substance for effectively adsorbing organic dyes is activated carbon (AC). We looked at the possibility of using Black Soldier Fly (BSF) larvae (Hermetia illucens Genome, MG) as a source for AC in this study. The two unique materials known as MG(300) and MG(500) were produced as a result of the larvae being heated for two hours at 300 and 500°C, respectively. These MG materials were further activated (MGO) using hydrogen peroxide (H2O2), and subsequently utilized for the adsorption of methylene blue (MB) dye. The objectives of this research include: (1) Investigation of the cabonization temperature and activation effects of the MG and MGO towards adsorption capacity; (2) Study of the physico-chemical properties of the adsorbents; (3) Exploration of the adsorptivity of MG and MGO in different parameters, including initial dye concentration, contact time, and temperature; (4) Examination of the kinetic and thermodynamic findings for the MG and MGO towards adsorption capacity. To analyze the obtained carbon, various analytical methods, including FTIR, WDXRF, SEM, and BET, were used. The equilibrium and kinetics of MB dye's adsorption behaviour on the AC were carefully investigated. It's interesting to note that within the first 10 minutes of contact time, all adsorbents demonstrated quick MB adsorption. The dye removal percentage (%) and adsorption capacities (mg×g-1) were measured at 65.7% and 6.33 mg×g⁻¹ for MG(300), 76.5% and 11.07 mg×g⁻¹ for MG(500), 91.1% and 16.41 mg×g⁻¹ for MGO(300), and 96.1% and 17.13 mg×g⁻¹ for MGO(500). Furthermore, the kinetics of dye adsorption using the pseudo-first-order (PFO) and pseudo-second-order (PSO) models were conducted, whereby PSO is the best fit with R2 in the range of 0.949 to 0.999.
Applying ADDIE Model to Develop Multimedia Lessons for Adolescent Reproductive Health Education in Uganda

This study aimed to develop and evaluate a multimedia application intervention for adolescent sexual reproductive health education in secondary schools in Uganda. The lack of access to quality reproductive health education and services, exacerbated by the recent COVID-19 pandemic, contributes to unplanned pregnancies, health complications, and sexual and gender-based violence (SGBV) among adolescents in Uganda. Researchers and teachers collaborated to create multimedia lessons covering topics such as sexual reproductive health and rights (SRHR) and SGBV for adolescents in participating schools. The educational content and format were co-designed to better incorporate the local context and address priority issues by involving end users of the software (adolescents and their teachers) as content contributors during the development phase. The innovative multimedia application was developed using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. A student manual was also created as a teaching tool, providing educators with lesson introductions and guiding questions for post-lesson group discussions. The manual includes a simplified print version of the educational content, ensuring that students and teachers in schools without ICT resources can benefit from the intervention. Questionnaires were developed and administered to 14 Results indicate that all 14 trained teachers demonstrated improved knowledge about the use of multimedia applications to deliver adolescent-friendly sexual reproductive health (SRH) education. Additionally, all 14 teachers self-reported that the multimedia application is a feasible and acceptable method to deliver adolescent-friendly SRH education.
Characterizing non-Markovian off-resonant errors in quantum gates

As quantum gates improve, it becomes increasingly difficult to characterize the remaining errors. Here we describe a class of coherent non-Markovian errors---excitations due to an off-resonant drive---that occur naturally in quantum devices that use time-dependent fields to generate gate operations. We show how these errors are mischaracterized using standard quantum computer verification and validation techniques that rely on Markovianity and are therefore often overlooked or assumed to be incoherent. We first demonstrate off-resonant errors within a simple toy model of $Z$ gates created by the ac Stark effect, then show how off-resonant errors manifest in all gates driven on a fixed-frequency transmon architecture, a prominent example being incidental cross-resonance interaction driven during single-qubit gates. Furthermore, the same methodology can access the errors caused by two-level systems, showing evidence of coherent, off-resonant interactions with subsystems that are not intentional qubits. While we explore these results and their impact on gate error for fixed-frequency devices, we note that off-resonant excitations potentially limit any architectures that use frequency selectivity.