Reviewerly/exHarmony huggingface dataset:
Student perceptions of a remotely operated motor-driven generator in engineering education

Smart technologies in engineering education provide students with relevant real-world experience and safeguard the quality of instruction during emergency remote teaching. This paper aims to have students complete a motor-driven generator practical via a RemoteLab and measure their perceptions of the experience. A survey was conducted with five-point Likert scale questions asking students to indicate their satisfaction with the useability and effectiveness of the RemoteLab, then given a list of action verbs from Gloria Willcox’s feeling wheel to select what best described their emotions during the exercise, and finally open-ended questions to expand on their experience. Results showed students found the system easy to use and effective and most felt joyful and powerful emotions during the exercise. There was some indication that they still preferred contact sessions on campus which shows that a RemoteLab may be best used as an intervention when the contact mode of delivery is suddenly disrupted.
Web-Based Bank Loan Information System Design at The PT. BPRS HIK Parahyangan

Loan information systems at banks have the goal of providing the best loan services to customers and being able to improve bank operations. This study aims to design and create a bank lending information system application with a case study at PT. BPRS HIK Parahyangan West Bandung Branch. The research method was conducted qualitatively by conducting interviews, observation, and literature study. The software development method used is the prototype. The design of a bank information system uses the Unified Modeling Language (UML) and is implemented with the programming language PHP and My SQL as a database. Application test with the black box. With this application as a means of processing banking data, it can run quickly and optimally.
Optimization of water flow on Regency Municipality Waterworks-network of Jonggat Central Lombok Regency using Ford Fulkerson Algorithm and Dinic Algorithm

Clean water is essential for humans which must be fulfilled for humans survival. The population in Jonggat, Central Lombok, increases from year to year which causes the using of clean water get an increase too. The necessity of rising clean water is not in line with the availability of water in nature, therefore the PDAM (Regency Municipality Waterworks) manages existing water resource. Then, it will be distributed to consumers. The purpose of this research is to determine the optimal solution in the distribution of clean water in Jonggat using Ford Fulkerson algorithm and Dinic algorithm. Both Ford Fulkerson algorithm and Dinic algorithm are methods used to calculate the maximum flow in a network. Based on the results of research using Python software on the Ford Fulkerson algorithm, the maximum current is 133 liters/second, while using the Dinic algorithm, the maximum current is 133.49 liters/second. Meanwhile, the average water flow is delivered by PDAM is 95 liters/second. It means, it can be added the amount of flow in the clean water distribution pipe by the PDAM. It’s for facilitating the flow of water that reaches consumers with the addition of a flow that cannot exceed 133.49 liters/second.&#x0D; Keywords: Network flow, Maximum flow, Ford Fulkerson algorithm, Dinic algorithm
ENHANCING PERFORMANCE THROUGH TOTAL QUALITY MANAGEMENT: UNVEILING THE MEDIATING INFLUENCE OF KNOWLEDGE TRANSFER

In today's dynamic and competitive business environment, the organizations strive to attain superior performance by executing effective management strategies. One such strategy that has gained significant attention is Total Quality Management (TQM). This study aims to delve into the relationship between TQM and organizational performance, with a specific focus on the mediating effects of knowledge transfer. Drawing on comprehensive review of literature and empirical analysis, this research investigates the impact of TQM practices upon organizational performance, considering the crucial role played by knowledge transfer mechanisms. The study employs quantitative research design, collecting data from a manufacturing SME’s operating in Lahore, Pakistan. SEM is used to analyze data and test proposed hypotheses. The findings shed light on the significant positive relationship amid TQM &amp; organizational performance, highlighting vital role of knowledge transfer as a mediating mechanism. The organizations that aim to improve performance should focus not only on implementing TQM practices but on establishing effective knowledge transfer mechanisms.
Evolution of academic dishonesty in computer science courses

Online exams and assignments during the COVID-19 pandemic have introduced new forms of student cheating. In order to maintain evaluation criteria and preserve established ethical standards, professors have introduced new methods to minimize cheating. When returning onsite, the newly created cheating techniques evolved once again. They were supported by special groups on social networks dedicated to easier liquidation of exams and getting better grades. Crowdsourcing became frequent, particularly for homework assignment preparation. Recently, ChatGPT has become a new ally of students. This paper presents the evolution of student cheating in several computer science courses taught by the authors of this paper. All examples of cheating are supplemented by the detecting methods and own applications used to prevent them from occurring again. The paper ends by predicting who will win in the eternal war between students and professors, at least in the short run.
Design of a Web-Based Petty Cash Accounting Information System at Otoritas Jasa Keuangan (OJK) Regional Office 2 of West Java

The rapid development of technology makes it easy for a company to get information. One is at Otoritas Jasa Keuangan (OJK) Regional Office 2 of West Java. One of the problems found is in the process of processing accounting data which is still done manually using the Spreadsheet application, so a Web-Based Accounting Information System is designed, with the software development method used namely a waterfall with the Unified Modeling Language (UML) modeling system tools. While the PHP programming language and MySQL database. This research produces an information system integrated into recording cash and preparing company cash reports. This accounting information system's design allows petty cash records to be managed effectively and efficiently.
Designing Mobile and Web-Based Damage Complaint Applications at XYZ Hospital

A hospital is a health service place providing comprehensive individual medical services that provide inpatient, outpatient, and emergency services. Various facilities are used to support better hospital services. Facilities that are often used in hospitals are computers, laptops, printers, internet networks, and LAN networks. However, these facilities sometimes experience damage at any time, which can interfere with various activities in the hospital. In XYZ Hospital itself, damage complaints still use manual methods to make damage complaints Employees must go directly to the hospital information system division, which can cause ineffectiveness, and technicians need help handling damage complaints due to the absence of written data. This study aims to build a mobile and web-based XYZ home damage complaint application. It is expected to increase efficiency in making complaints, and technicians can more easily conduct damage complaints at XYZ Hospital.
The problem of individualization of learning in the context of change of paradigm bases

Introduction . The problem of individualization of education is one of the leading problems of modern pedagogy and psychology. The article proposes a new perspective of its comprehension: in the subjective projection and in the context of changing the paradigm bases. Materials and Methods . In the process of scientific research, theoretical research methods were used: logical-subject and comparative analysis, interpretation, generalization, scientific theorization. Results . In the subjective projection, the individualization of learning manifests itself as an opportunity, assimilating the content being studied, to understand its connection with one's own «I», to know oneself, i.e. subjectivization of the content and procedural aspects of learning. The difference between subjectivization and the subjectivized form of the studied content is shown. The measure of individualization of training is defined: 1) a narrow horizon of subjectivation: subjective reality is represented in a non-subjective way as a rationally autonomous subjectivity; 2) the limiting horizon of subjectification: subjective reality is presented in a subjective way; 3) autonomous subjectification or zero horizon of subjectification: subjective phenomena exist autonomously, without expressing the meaning of the content being studied. It is shown that the measure of individualization as a systemic property is determined by the accepted method of structured knowledge, included the content of education (classical, post-non-classical structuring of knowledge). This method is predetermined by the paradigm foundations of the learning system. The measure of individualization of learning in the article is considered in the context of the classical, non-classical, post-non-classical paradigm. Discussion and Conclusions . The conclusions proposed in the article are aimed at solving practical issues related to the design of psychological and pedagogical tools for individualizing learning and evaluating their educational effectiveness.
Development and validation of a prediction model for the diagnosis of breast cancer based on clinical and ultrasonic features

The aim of this study was to develop a simple and effective prediction model for calculating the probability of breast cancer by selecting clinical and sonographic features associated with breast cancer.A total of 402 lesions from 304 adult females from the ultrasound department of of PLA General Hospital from March 1st, 2020 to April 1st, 2021, were prospectively collected as the development group. The validation group included 121 lesions from 98 patients in our physical examination center from April 1st, 2021 to March 1st, 2022. Least absolute shrinkage and selection operator (LASSO) was applied to select clinical and ultrasonic variables, and R language was applied to build a web version of the interactive dynamic column line graph. The prediction model was validated by the validation group and the Breast Imaging Reporting and Data System (BI-RADS) categories. Calibration, differentiation and effectiveness were evaluated by R2, receiver operating characteristic (ROC) and decision curve analysis (DCA), respectively.One hundred and seventy-nine malignant lesions and 223 benign lesions were included in the development group after exclusion and follow-up, whereas 62 malignant lesions and 59 benign lesions were enrolled in the validation group. Age, bloody nipple discharge, irregular shape, irregular border, heterogeneous echo, microcalcification, attenuation effects, decreased echo in surrounding tissues, lesions in ducts, abnormal lymph node morphology, nourishing vessel and nourishing vessel's resistance index (RI) greater than 0.70 were selected as independent risk factors. There was no significant difference in the area under the curve (AUC) of the development group between the prediction model and the BI-RADS category (0.959 vs. 0.953, P>0.05), and so as the validation group (0.952 vs. 0.932, P>0.05). For the prediction model, R2 of the development and validation group was 0.78 and 0.72. The DCA showed that the net benefits (NB) of the development group were higher than that of the validation group (0-100% vs. 0-90%).A prediction model was developed with the clinical and ultrasonic features for the precise and intuitive probability of breast cancer. This could provide a reliable reference for further examination.
Generating macroscopic superposition states by ‎adiabatic transition

Since the establishment of the quantum mechanics, researchers in physics have been studying superposition states and especially proposing setups for generating macroscopic objects in a quantum superposition state. Such states are important and of interest both from a foundational perspective and for their applications in the emerging quantum technologies. Here, we propose a circuit quantum electrodynamical setup and an adiabatic scheme for preparing a macroscopic and massive object in a quantum superposition state. The scheme is based on establishing a spatial double-well potential for a macroscopic object and preparing it in the ground state of the potential via an adiabatic transition. The resulting state is a spatial superposition state where the object assumes a superposition of bulked to two opposite directions, e.g. right and left. By numerical solving of the quantum optical master equation and including the environmental effects, we show that the target cat state is achievable with a high fidelity provided the process satisfies the adiabaticity conditions.
"The Self-Simulation Theory: A Computational Theory of Consciousness"

Consciousness as stated by Chalmers [1] is anything that we experience, from perceiving the color of red, the depth of thought, smell of a flower, sound of a guitar, pleasure of orgasms to the agony of pain.
The Functions of Films for Children as Learning Media in Children's Education

Children's interest in learning should be continuously enhanced. Selecting suitable learning media is very important to support the increased interest in learning. A film can be one of the learning media that offers advantages for achieving a quality children's education process. This study aims to discuss the functions of films for children in children's education. The method used is descriptive qualitative with literary studies techniques. The study results show that there are three functions of films for children as learning media, namely film as a media for language learning, film as a media for character building, and film as a media for introducing multiculturalism. Film can stimulate children's imagination so that children can think actively and creatively. However, the functions of films are inseparable from the role of parents and teachers in selecting films and methods or techniques for presenting films so that children remain active learners.
Quantum logic

This part of the book starts with some background and preliminary studies on quantum logic and some characteristics, as well as the evolution of quantum computers, which are discussed in this chapter.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE NUMBERED HEAD TOGETHER UNTUK MENINGKATKAN KEAKTIFAN BELAJAR SISWA PADA PEMBELAJARAN BAHASA INDONESIA SISWA KELAS X MIPA SMA NEGERI 12 MAKASSAR

Application of the Numbered Head Together Type Cooperative Learning Model to Increase Student Learning Activeness in Indonesian Language Learning Class X MIPA SMA Negeri 12 Makassar The research aims to determine the process and results of applying active speaking students in class X MIPA SMA Negeri 12 Makassar and to find out the results of increasing students' speaking activeness class X MIPA 4 SMA Negeri 12 Makassar uses the Numbered Head Together cooperative learning model. This research is a classroom action research, there are two cycles in its implementation. Each cycle has four stages, namely planning, implementing, observing and reflecting. The subjects of this study were 25 students of class X MIPA 4 SMA Negeri 12 Makassar. Data collection is done by test. In the planning stages of cycle I and cycle II, the learning implementation is the same, the difference is in the learning steps. If the learning steps carried out in cycle I are not optimal or have an effect on the achievement of learning outcomes, then cycle II student achievement is better or said to be complete with the learning outcomes achieved after the application of the cooperative learning model shows the results that in cycle I completeness is 70% and in cycle II completely classical by 89% of students who are active in speaking. The conclusion from the results of this study is that the Numbered Head Together learning model can increase student learning activity in Indonesian language class X MIPA 4 SMA Negeri 12 Makassar.
Peningkatan Hasil Belajar Akuntansi Dasar Menyusun Neraca Lajur Perusahaan Jasa melalui Model Pembelajaran Problem Based Learning

Education is a conscious and systematic effort in developing the potential of students and also an effort by the community and the nation in preparing its younger generation for the sustainability of a better life of society and nation in the future. Because education is so important, the quality and quality must be considered. The purpose of this study is to improve student learning outcomes in the material of Compiling Lane Balances for students at SMK Negeri 1 Tanjungpinang class X PKM whose learning outcomes for Basic Accounting subjects in the material compiling Lane Balance Sheets have not been satisfactory. The learning model applied in learning uses a problem-based learning model. The data collection method in this study is a test of student learning outcomes. By using a problem-based learning learning model , it is expected to be able to improve student learning outcomes, this can be seen from the increase in learning outcomes achieved in cycle 1 with an average of 79.35 increasing to 95.25 in cycle 2. The conclusion of this study is that through a problem-based learning model , student learning outcomes in the material for Compiling Lane Balances in class X PKM in the even semester of SMK Negeri 1 Tanjungpinang TP 2021/2022 increased.
Criterion for the resemblance between the mother and the model distribution

Abstract If the probability distribution model aims to approximate the hidden mother distribution, it is imperative to establish a useful criterion for the resemblance between the mother and the model distributions. This study proposes a criterion that measures the Hellinger distance between discretized (quantized) samples from both distributions. Unlike information criteria such as AIC, this criterion does not require the probability density function of the model distribution, which cannot be explicitly obtained for a complicated model such as a deep learning machine. Second, it can draw a positive conclusion (i.e., both distributions are sufficiently close) under a given threshold, whereas a statistical hypothesis test, such as the Kolmogorov-Smirnov test, cannot genuinely lead to a positive conclusion when the hypothesis is accepted. In this study, we establish a reasonable threshold for the criterion deduced from the Bayes error rate and also present the asymptotic bias of the estimator of the criterion. From these results, a reasonable and easy-to-use criterion is established that can be directly calculated from the two sets of samples from both distributions. MSC(2010) Subject Classification: Primary 60F99, Secondary 62F12
FPGA-Based Cosimulation of S-Box Constitution from Fractional Order Liu System

Substitution box(S-box) has an important duty in encryption. In recent years plenty of S-box designs by chaotic systems have been studied. In this paper a high speed S-box constitution from fractional order Liu system on FPGA is proposed. The design was implemented by using Xilinx System Generator(XSG) toolbox in MATLAB/Simulink software in single precision floating point numbers format and a low cost Basys 3 FPGA trainer card was used. In addition, numerical fractional order equations was solved by using Grünwald-Letnikov(GL) method with 1024 elements length. The S-box table was constructed about 0.137s. After all performance analyzes as nonlinearity, strict avalanche criterion, differential probability, bits independent criterion, and equiprobable input/output XOR distribution, were performed. The performance analyzes shown that the design was satisfactory.
ENSEMBLE LEARNING APPROACHES FOR CLASSIFICATION WITH HIGH-DIMENSIONAL DATA

Classification with high-dimensional data is a significant challenge in machine learning because the abundance of features in high-dimensional data makes it difficult to identify meaningful patterns, which leads to overfitting and reduced classification performance. Moreover, the computational cost of processing high-dimensional data is often prohibitively expensive, requiring specialized hardware or optimized algorithms. Ensemble learning is a powerful machine learning technique that combines multiple models to improve classification accuracy. By aggregating the predictions of multiple models, ensemble learning can reduce overfitting, increase robustness, and improve performance on a wide range of real-world classification problems. Ensemble learning is effective for classification with high-dimensional data because it can combine multiple models to mitigate the effects of the curse of dimensionality, reduce overfitting, and enhance generalization performance. By using different learning algorithms or subsets of features, ensemble learning can improve the diversity of the models, leading to better overall performance on high-dimensional data. This paper proposes two hybrid ensemble machine learning approaches that integrate random subspace ensemble with bagging and boosting to enhance classification performance with high-dimensional data. Experimental results demonstrate that these methods significantly improve classification accuracy with highdimensional data.
BK-POSE: A LIGHTWEIGHT MODEL FOR MULTI-PERSON POSE ESTIMATION IN THE WILD

Human pose estimation is an essential topic in computer vision research, which has numerous applications in various fields. In this article, we propose a lightweight deep learning architecture called BK-Pose for recognizing human keypoints from images and videos that can be executed on edge computing devices. The main contributions of our work are two folds: (1) A lightweight bottom-up deep learning model is introduced that can be deployed on edge devices and can achieve high frames-per-second (FPS) rates while maintaining acceptable accuracy in suitable environments. (2) The incorporation of a novel focal L2 loss (FL) technique allows for the effective balancing between “hard” and “easy” keypoints samples during training. The performance of the BK-Pose model is evaluated within a classroom environment for capturing students’ keypoints and demonstrate its efficacy. Our results show promise for further research in activity recognition using the proposed architecture.
Sistem Pakar Menentukan Keahlian Siswa Menggunakan Metode Forward Chaining

SMK Negeri 5 Surabaya is one of the flagship vocational schools in Surabaya that produces alumni who are ready to work. The selection of expertise competencies in SMK Negeri 5 Surabaya tends to be subjective, because of the encouragement of parents and friends who suggest entering certain skill competencies, so students feel wrong in the competence of those skills. At SMK Negeri 5 Surabaya there is no specific test to determine what competence of expertise is suitable for the student, from the results of observations and interviews that have been conducted by the author of this study to create a web-based Expert System application using the Laravel framework and use parameters based on report card results and minimum completion criteria in class X as a basic reference with the aim to facilitate students in providing second opinion. the competence of the students. The method used in the creation of this Expert System is to use the Forward Chaining method, a method that provides a rule based on inference that performs reasoning based on a problem and will conclude a solution. A series of processes have been passed by the author ranging from data collection by observing, and interviews, system design, implementation, and application creation created an application this Expert System can overcome the complaints of students who can not follow learning because of lack of interest in learning because it is not in accordance with the desired