Reviewerly/exHarmony huggingface dataset:
Open-ComBind: Harnessing unlabeled data for improved binding pose prediction

Authors:
raw_author_name: David R. Koes
raw_affiliation_string: Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA

Abstract: Accurate determination of a ligand binding pose is crucial for in silico drug discovery. Molecular docking is a widely used method for the prediction of non-covalent binding of a protein and ligand system. However, most molecular docking pipelines consider only one ligand at a time, even though ligands may share binding interactions when bound to the same receptor. Open-ComBind, an open-source version of the ComBind molecular docking pipeline, addresses this issue by incorporating information from multiple ligands, including those without known bound structures, to improve pose selection. Poses are simultaneously predicted for a docking ligand of interest as well as a set of helper ligands. First, we generate distributions of feature similarities between ligand pose pairs, comparing near-native poses with all sampled docked poses. These distributions capture the likelihood of observing similar features, such as hydrogen bonds or hydrophobic contacts, in different pose configurations. We then combine these similarity distributions with a per-ligand docking score to improve overall pose selection by 8.5% and 4.5% for high-affinity and congeneric series helper ligands, respectively. Open-ComBind reduces the average RMSD of ligands in our benchmark dataset by 8.2%. We investigate the significance of the inter-molecular features as well as the number of helper ligands to achieving accurate pose selection. We provide Open-ComBind as an easy-to-use command line and Python API to increase pose prediction performance at www.github.com/drewnutt/open-combind.
Cyberbullying Detection: A Comparative Study of Classification Algorithms

Authors:
raw_author_name: G. Hemanth Varma
raw_author_name: Sitanath Biswas

Abstract: In the realm of social media, cyberbullying's pervasive impact raises urgent concerns about its emotional and psychological toll on victims. This study addresses the imperative of effectively detecting cyberbullying. By leveraging ML and DL techniques, we aim to develop reliable methods that accurately identify instances of cyberbullying in social media data, enhancing detection efficiency and accuracy. This facilitates timely intervention and support for affected individuals. In this comprehensive analysis of existing systems, various ML and DL models are extensively texted for cyberbullying detection. The evaluated models include Random Forest, XgBoost, Naive Bayes, SVM, CNN, RNN, and BERT. Pre-processed datasets are utilized to train and evaluate the models. To evaluate the ability of each model to reliably identify cyberbullying in social media data, performance metrics such as F1 score, recall, precision, and accuracy are used. The findings of this study demonstrate the efficacy of different ML and DL models in monitoring cyberbullying in social media data. Among the models evaluated, the BERT model exhibits exceptional performance, achieving the highest accuracy rates of 88.8% for binary classification and 86.6% for multiclass classification.
Policy (In)Consistency and Sustainable Development Goals in Africa: A Systematic Literature Review

Authors:
raw_author_name: Arnesh Telukdarie
raw_affiliation_string: University of Johannesburg, Johannesburg, South Africa

Abstract: The attainment of Sustainable Development Goals hinges on the alignment of SDGs policies. This systematic literature review delves into the intricate relationship between policy inconsistency and sustainable development goals in Africa. Through this study, we unveil the challenges, implications, and the potential pathways that emerge at the intersection of policies and the quest for sustainable development in Africa. Our investigation takes a close look at the diverse dimensions of policy coherence, encompassing economic, social, and environmental considerations, and how these dimensions impact the progress of SDGs. Employing a systematic review approach, we meticulously filtered through 1745 results from databases, selecting 353 articles for a comprehensive analysis. Our findings underscore the significant role that policy inconsistency plays in impeding the attainment of SDGs in Africa. We propose an approach anchored on the alignment of SDGs policies and each goal of SDGS for the attainment of the 2030 SDGs agenda in Africa.
Website Quality Analysis Using Modified Webqual Method and Importance Performance Analysis on SITU TAK Website

Authors:
raw_author_name: Rafli Putra
raw_affiliation_string: Telkomuniversity
raw_author_name: Rio Guntur Utomo Utomo
raw_affiliation_string: Telkom University
raw_author_name: Muhammad Faris Fathoni Fathoni
raw_affiliation_string: Telkom University

Abstract: Technological developments affect information services, such as website. Information services on the website make it easy to convey information widely. Therefore, the quality of the website can affect the information services. This research assessed one of Telkom University's academic service websites, namely SITU Student Activities Transcript (SITU TAK). The purpose of this study was to measure the quality of the website, user satisfaction, and the factors that can increase the user satisfaction. This study employed Webqual 4.0 method as the indicator and Importance-Performance Analysis (IPA) for grouping the factors based on the quadrant of IPA. Before grouping the data, the data first passed the validity test, reliability test, and gap analysis between user perceptions and expectations. Therefore, it can strengthen the conclusions and recommendations resulted from this study. After conducting this study, the final results were obtained, which stated that SITU TAK website still did not meet the expectations of its users. This can be seen in the results of the gap analysis calculation with a value of -0.63, which means that the level of importance or expectations of the users is still higher than the performance of the website.
Witnessing edge modes in trimerized circuit quantum electrodyamic lattice

Authors:
raw_author_name: Yan Xing
raw_affiliation_string: Harbin Institute of Technology, Harbin, Heilongjiang, CHINA
raw_author_name: Wen-Xue Cui
raw_affiliation_string: Yanbian University, Yanji, Jilin, CHINA
raw_author_name: Shutian Liu
raw_affiliation_string: Department of Physics, Harbin Institute of Technology, Harbin, Heilongjiang, CHINA
raw_author_name: Hong-Fu Wang
raw_affiliation_string: Department of Physics, College of Science, Yanbian University, Yanji, 133002, CHINA

Abstract: Abstract We propose a scheme to investigate and witness edge modes of general one-dimensional (1D) photonic trimers in a circuit quantum electrodynamic (QED) lattice. These in-gap edge modes are strictly and analytically solved and the criteria for their emergence are indicated respectively. Moreover, the energy spectrum of the system shows two different regimes characterized by a discrepancy in the number of edge modes. Specifically, while there are always a couple of edge modes only present at one single boundary in both the regimes, one of the regimes also shows another pair of edge modes localized on the opposite boundary. Furthermore, these edge modes are witnessed with the aid of continuous-time quantum walks and average photon number measurements. Our scheme provides a comprehensive method for studying the edge modes of matter.
Implementasi Pengelolaan Bantuan Operasional Sekolah Reguler pada Peningkatan Sarana Prasarana dan Kualitas Pembelajaran di SD Yapis Kota Bogor

Authors:
raw_author_name: Amie Primarni Primarni
raw_affiliation_string: Institut Agama Islam Nasional Laa Roiba, Jawa Barat, Indonesia
raw_author_name: Imam Tholkhah
raw_affiliation_string: Institut Agama Islam Nasional Laa Roiba, Jawa Barat, Indonesia

Abstract: The purpose of this study was to describe the management of Reguler BOS at SD Yapis Bogor City and its impact on improving infrastructure and the quality of learning at SD Yapis Bogor City.The approach used in this study is a qualitative approach with descriptive methods. The resource person consists of 6 people with positions, Head of school, Deputy Head of Curriculum, Deputy Head of Student Affairs, treasurer, operator and teacher at fifth grade. The results showed that the management of Reguler BOS increased the infrastructure at SD Yapis. In 2023 Yapis already has a Computer Lab with 12 sets of computers along with tables and chairs. While in the previous year there were only 6 sets. This also affects the increase in ANBK results. ANBK is an indicator of improving the quality of learning for elementary school level students which is implemented in grade 5 students. From the 2023 Education Report Card, the proportion of students with numeracy skills reaching a minimum competency increased by 42.86%. Where in 2022 it will be 23.33 and in 2023 it will be 33.33.
Analyzing credit card fraud cases with supervised machine learning methods: logistic regression and Naive Bayes

Authors:
raw_author_name: Behnam Kalejahi

Abstract: Frauds involving credit cards are simple and effortless to target. With the rise of online payment credit cards have had a huge role in our daily life and economy for the past two decades and it is an important task for companies to identify fraud and non-fraud transactions. As the number of credit cards grows every day and the volume of transactions increases quickly in tandem, fraudsters who wish to exploit this market for illegitimate gains have come to light. Nowadays, it’s quite easy to access anyone’s credit card information, which makes it simpler for card fraudsters to do their crimes. Thanks to advances in technology, it is now possible to determine whether information gained with malicious intent has been used by looking at the costs and time involved in altering account transactions. The Credit Card Fraud analysis data set, which is obtained from the Kaggle database, is used in the modeling process together with The Logistic regression method and Naive Bayes algorithms. Using the Knime platform, we are going to apply machine learning techniques to practical data in this study. The goal of this study is to identify who performed the transaction by examining the periods when people use their credit cards. The Logistic regression approach and the Naive Bayes method both had success rates of 99.83%, which is the highest. The two methods’ results are based on Cohen’s kappa, accuracy, precision, recall, and other metrics.
Technologies for Designing Professional Educational Training Programs for the Digital Economy

Authors:
raw_author_name: V. V. Martynov
raw_author_name: S. Yu. Makarova

Abstract: In this article, the authors consider the issues of training qualified personnel for the digital economy at the present stage of higher education development. The article describes the relationship between the emergence of new technologies and high-tech industries and the emergence of new directions and specialties in the field of higher education, requiring students to master new competencies. The concept of "competence" and the problems of implementing the competence approach in the system of higher professional education are investigated. The main definitions and principles of the competence approach to the design of educational outcomes in higher education are outlined. The analysis of published studies and presented software products devoted to the design of curricula is given. An important analytical conclusion is that one of the important points in the development of educational programs is to focus on the needs of production in young professionals with a certain set of competencies, but now most programs of higher and secondary vocational education do not have time to take into account the latest achievements in the technological and industrial spheres. The development of students’ competencies is the goal of educational programs, therefore they should be structured in such a way as to ensure the consistent and systematic development of the necessary skills and knowledge. The authors note that the competence approach in higher professional education is implemented in the form of an approximate basic educational program that forms a model of a specialist whose competencies must meet production standards to perform specific labor functions. The article sets the task to form a set of disciplines that is optimal in terms of labor intensity and levels of competence formation, allowing the most effective implementation of the competencies of a student in the bachelor’s degree direction, taking into account the level of formation and limitations of the curriculum set by the employer. The mathematical model of solving the problem and the technology of designing the optimal competence model of the graduate, taking into account the requirements of the employer, are presented.
Developing the Contribution of Information Processing Activities in Forming Persuasion

Authors:
raw_author_name: Tulus Winarsunu
raw_affiliation_string: Faculty of Psychology, University of Muhammadiyah Malang, Indonesia

Abstract: Research on persuasion or attitude change has been approached through singleprocess models. The focus of this research is to explain more clearly that persuasion only occurs through a process that is directly caused by social influence. However, the use of this approach produced contradictory results. On the one hand, social influence increases persuasion, but other research finds the opposite. This article discusses the possibility of using a dual-process model approach, which is expected to address the inconsistency of social influence on persuasion in single-process models. Dual process models are proposed to be able to provide new explanations regarding the possibility of multiple effects of social influence variables on persuasion by including information processing activity variables. Through the dual process model approach, it is possible to explain that a certain effect can be caused by different processes and that a certain variable can work differently and in different situations. Social influence has different mechanisms for determining persuasion, which can act as a simple cue when the thinking level is low and can have more than one role (multiple roles) when information processing activities are at a high thinking level.&#x0D; Keywords: elaboration likelihood models, information processing, persuasion, social influence
SMOTE Variants and Random Forest Method: A Comprehensive Approach to Breast Cancer Classification

Authors:
raw_author_name: None Baiq Candra Herawati
raw_affiliation_string: Universitas Bumigora
raw_author_name: None Hairani Hairani
raw_affiliation_string: Universitas Bumigora
raw_author_name: None Juvinal Ximenes Guterres
raw_affiliation_string: Universidade Oriental Timur Lorosa’e

Abstract: 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.
Strategi Mapping Classroom dengan model Quantum Teaching Untuk Meningkatkan Percaya Diri Tampil di depan Publik Untuk Generasi Kota Batam

Authors:
raw_author_name: Andi Sylvana
raw_affiliation_string: Universitas Terbuka

Abstract: 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.
Evaluasi Pengembangan Pembelajaran Biologi Berbasis Media E- Learning pada Mahasiswa Tadris Biologi 3 Semester VI Universitas Islam Negeri Sumatera Utara

Authors:
raw_author_name: Puput Oktariani
raw_author_name: Kana Furkonah Pasaribu
raw_affiliation_string: Tadris Biologi Universitas Islam Negeri Sumatera Utara
raw_author_name: Azra Khairunnisa
raw_affiliation_string: Tadris Biologi Universitas Islam Negeri Sumatera Utara
raw_author_name: Siti Amina
raw_affiliation_string: Tadris Biologi Universitas Islam Negeri Sumatera Utara
raw_author_name: Sri Melina Sari
raw_affiliation_string: Tadris Biologi Universitas Islam Negeri Sumatera Utara
raw_author_name: Zahwa Adiesty
raw_affiliation_string: Tadris Biologi Universitas Islam Negeri Sumatera Utara

Abstract: 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.
Analysis of the current situation and identification of problems in the evaluation of intellectual potential

Authors:
raw_author_name: Makrufa Hajirahimova

Abstract: 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.
Tutor Quality, Facilitating Conditions, and Perceived Usefulness as Predictors of Pre-service Teachers’ Satisfaction in an E-learning Environment

Authors:
raw_author_name: Sonam Dhendup
raw_affiliation_string: Financial Institutions Training Institute, Thimphu

Abstract: 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.