Reviewerly/exHarmony huggingface dataset:
A robust and adaptable high-precision method for matching flipped SAR images based on an oriented descriptor

The increasing imaging capability of spaceborne Synthetic Aperture Radar (SAR) systems makes a challenging task in matching slant-range (SR) SAR images acquired from different orbit and side-viewing directions. However, currently existing algorithms for the SR SAR images matching are unsatisfactory and the correct homologous points cannot be matched. In this work, a robust and adaptable high-precision method for matching flipped SAR images based on oriented descriptors is proposed. Firstly, the ratio gradient calculation based on Gabor odd filter is introduced. Secondly, the oriented descriptors are built to eliminate the diversity of feature-based descriptors of homologous points of flipped SR SAR images, enabling directly match the flipped SAR images. Finally, the feasibility and reliability of the proposed method are verified by the experimental results of simulated flipped SAR images and actual flipped SAR images, and two directional descriptors of the slave image are constructed to match non-flipped SAR images. The results show that the proposed method performs better in precision with the root mean square error (RMSE) less than 1 pixel, and the proposed oriented descriptors can match SR SAR images.
Does A Student’s Interest in Writing and Vocabulary Mastery Have An Impact on Their Writing Ability in Tenth Grade at SMK Negeri 2 Muara Enim?

Writing This article aims to look at: first, the effect that occurs between writing interest variables on writing ability, second, the effect that occurs between mastery vocabulary variables on writing ability, and lastly the interactions that occur between the variables in the study. In analyzing the data, we employed a using the triangulation approach with descriptive analysis. From the results of the analysis, researchers have found: that writing interest has an impact on writing ability, and that vocabulary mastery has an impact on writing ability. Additionally, writing interest and vocabulary mastery have a large impact on writing ability.
BASIC PRINCIPLES OF MUSICAL PERFORMANCE LOGIC

The article examines musical performance logic as a type of artistic logic that has its own individual measure of the relationship between the rational, cognitive, and sensory. The relationship and interaction of emotional-imaginative and logical components of musical intelligence are analyzed. It is shown that the hermeneutic method is quite applicable to musical performance interpretation and logic as a method of revealing the plurality of meanings contained in the text.
An Extensive Analysis of Feature Selection in Machine Learning

Abstract: Researchers and engineers working in the disciplines of data mining and machine learning have difficulties while analysing high-dimensional data. A dimension reduction method called feature selection is used to pick characteristics that are pertinent to machine learning tasks. Improving the efficiency of machine learning algorithms, hastening the learning process, and creating basic models all depend critically on reducing the size of the dataset by removing superfluous and useless information. Numerous feature selection techniques have been put forth in the literature to find the pertinent feature or feature subsets in order to accomplish the goals of clustering and classification. The purpose of this study is to review the state of the art for these methods.
Motion Capture Algorithm for Students' Physical Activity Recognition in Physical Education Curriculum

Physical training learning is one of the important ways to raise the national physical quality and health level. However, there are many problems in traditional physical education, such as the difficulty to identifying the effectiveness of physical education curriculum and low level of repetitive exercise content. In order to solve this problem and improve the curriculum quality of current middle school physical education courses, a motion capture algorithm based on convolutional neural network and long-term memory network is proposed, and a student physical activity capture model is constructed based on the fusion algorithm. In the performance comparison test of the fusion algorithm proposed in this study, the loss value and accuracy of this fusion algorithm are 0.045 and 0.921, respectively, significantly superior to the comparison algorithm. Then in the empirical analysis, the accuracy rate of this motion capture algorithm model proposed in this study for students' walking posture recognition in physical education courses is 91.5%, which is better than the comparative capture method. This motion capture algorithm can accurately capture the physical activities of students in physical education courses, which has practical application significance.
Deep Learning Model Aids Breast Cancer Detection

Breast cancer, a lumpy nodule or granular calcified tissue caused by cancerous changes in chest tissue, has become one of the most prevalent cancers. Due to the location and structure of the tumor, it can be detected directly by ultrasound or X-ray and is less likely to spread to other parts of the body than tumors in other parts of the body. Considering the huge number of sick people, the resources required for a full census would be enormous, but thanks to the rapid development of medical image processing technology in recent years, assisted diagnosis through deep learning models has gradually become more widely accepted. For detection models, higher accuracy means lower misdiagnosis rates and timely treatment for patients. Therefore, in this paper, we first specify the diagnose as a binary classification problem and then introduce a new pooling scheme and training method to achieve better results compared to the traditional network backbone in the past.
Rotation Key Reduction for Client-Server Systems of Deep Neural Network on Fully Homomorphic Encryption

In this paper, we propose a new concept of hierarchical rotation key for homomorphic encryption to reduce the burdens of the clients and the server running on the fully homomorphic encryption schemes such as Cheon-Kim-Kim-Song (CKKS) and Brakerski/Fan-Vercauteran (BFV) schemes. Using this concept, after the client generates and transmits only a small set of rotation keys to the server, the server can generate any required rotation keys from the public key and the smaller set of rotation keys that the client sent. This proposed method significantly reduces the communication cost of the client and the server, and the computation cost of the client. For example, if we implement the standard ResNet-18 network for the ImageNet dataset with the CKKS scheme, the server requires 617 rotation keys. It takes 145.1 s for the client with a personal computer to generate whole rotation keys and the total size is 115.7 GB. If we use the proposed two-level hierarchical rotation key system, the size of the rotation key set generated and transmitted by the client can be reduced from 115.7 GB to 2.91 GB ( $$\times $$ 1/39.8), and the client-side rotation key generation runtime is reduced from 145.1 s to 3.74 s ( $$\times $$ 38.8 faster) without any changes in any homomorphic operations to the ciphertexts. If we use the three-level hierarchical rotation key system, the size of the rotation key set generated and transmitted by the client can be further reduced from 1.54 GB ( $$\times $$ 1/75.1), and the client-side rotation key generation runtime is further reduced to 1.93 s ( $$\times $$ 75.2 faster) with a slight increase in the key-switching operation to the ciphertexts and further computation in the offline phase.
Optimizing Computer-Aided Diagnosis with Cost-Aware Deep Learning Models

Classical machine learning and deep learning models for Computer-Aided Diagnosis (CAD) commonly focus on overall classification performance, treating misclassification errors (false negatives and false positives) equally during training. This uniform treatment overlooks the distinct costs associated with each type of error, leading to suboptimal decision-making, particularly in the medical domain where it is important to improve the prediction sensitivity without significantly compromising overall accuracy. This study introduces a novel deep learning-based CAD system that incorporates a cost-sensitive parameter into the activation function. By applying our methodologies to two medical imaging datasets, our proposed study shows statistically significant increases of 3.84% and 5.4% in sensitivity while maintaining overall accuracy for Lung Image Database Consortium (LIDC) and Breast Cancer Histological Database (BreakHis), respectively. Our findings underscore the significance of integrating cost-sensitive parameters into future CAD systems to optimize performance and ultimately reduce costs and improve patient outcomes.
STUDI KASUS IMPLEMENTASI METODE BLOCKING PORT DALAM PENCEGAHAN MALWARE

Computer networks have become a staple in various fields. connected to the internet will increase the likelihood of threats or disruption to system security. Malicious Software (malware) is a program that is created with the aim of finding weaknesses or even damaging software and computer operating systems, they can enter through open ports that are not used in the network. After the author made observations at the XYZ School and conducted literature studies from various sources, the Router Mikrotik was needed to prevent this and the Dionaea Honeypot as a malware detection tool on the local network. This study aims to build a computer network security system with blocking port method at XYZ School by using observation, literature study and analysis methods. After the completion of this research, the security system of the XYZ School network can maximize system performance, prevent the entry of Malicious Software (malware).
Pedagogy and its applications in art education curricula

The research aims to (identify the applications of pedagogy in art education), the research community included, art education for the primary stage, so the community consisted of (8) main areas in art education, either the research sample was chosen, two main areas (objectives, and content), and included the research methodology (descriptive and analytical), the researcher built the research tool represented (the validity form of the tool) and presented to a group of experts to indicate its validity as well as to measure its stability, To show the results, the researcher used the percentage, and the researcher recommended - modifying the curriculum every period of time, such as every four years, others.
"Algorithm Analysis and Design" Python Teaching Example of Greedy and Dynamic Programming

The greedy algorithm and dynamic programming algorithm have always been difficult for students to understand in the course of algorithm analysis and design. This article uses Python as a descriptive language and selects classic examples of greedy and dynamic programming algorithms to analyze these two algorithms in detail, providing effective references for learning the Python language.
IMPLEMENTASI EKSTRAKURIKULER SANGGAR SASTRA AL-AMIEN (SSA) DALAM MENGEMBANGKAN BAKAT MENULIS SANTRIWATI DI TMI AL-AMIEN PRENDUAN

Writing is part of the aspects of language activities that are considered difficult and complained about by the community. Various levels of education complained about the difficulty of writing. The impact of these complaints gives the opinion that writing is indeed difficult. This opinion cannot be justified by his statement, because writing activities are the same as other language activities, which are skills. Every skill can be developed with systematic and continuous practice. Therefore educational institutions form extracurricular activity programs in developing students' writing talents to produce quality successors of the nation in writing activities. This study aims to find out how the extracurricular activities of the Al-Amien Literature Studio are implemented, and what are the implications and contributions of the extracurricular activities of the Al-Amien Literature Studio in developing the writing talents of female students at TMI Al-Amien Prenduan. This research is a descriptive qualitative using observation, interview, and documentation methods which are then analyzed to obtain data or information. The subjects of this study were taken Three persons from the trainers, two people from the charge, two persons from the consultants, and six members of the Al-Amien Literature Studio. For the validity of the data researchers triangulation. This thesis concludes that the implementation of the extracurricular activities of the Al-Amien Literature Studio is carried out through three stages, namely the planning, implementation, monitoring, and evaluation stages of the extracurricular activities. While the implications and contributions of the extracurricular activities of the Al-Amien Literature Studio are the use of active and creative methods, the existence of corrections or feedback activities on students' work, the efforts to improve the quality of writing, and the prevention and control of plagiarism on students' written works.
Utility Klasifikasi Kata Berdasarkan Kamus pada Dokumen Bertipe Word (.docx) Berbasis Web

Word class is one of the central aspects in Indonesian grammar. To understand the classification of word classes, it is less effective to do the it manually. So, developing a tool that can help fasten the process of classifying word classes in the document is need. Therefore, this research aims to build a system that can help make it easier for users to minimize time and human resources in determining the word class of a text document itself. The research development of a word classification system based on a dictionary on a word document (.docx) using the Waterfall or Classic Life Cycle, is divided into several stages, namely requirements specification and analysis, system and software design, coding and unit testing, system integration and testing, and installation and maintenance. This study resulted in a word classification system based on a dictionary on a word document (.docx). The success obtained in the development of this system is evidenced by the statistical data that shows the level of user satisfaction with a total average of 88.35% which is in the "Very Good" category.
The Development of Read Riddle Games to Improve Students' Reading Interest

Reading is an important aspect of the Senior High School curriculum, especially in areas where languages were integrated. The curriculum focuses on teaching grammatical awareness, structure, and reading comprehension to help students progress from basic knowledge to higher levels of language use. This study aims to discover the students’ outcomes by developing learning media using Google Site called "Read Riddle Games" for grade X SMA Negeri 2 Pekanbaru. The subject in this study is X MIPA 4 class in 2022/2023 academic year. This study used ADDIE (Analysis, Design, Development, Implementation and Evaluation) as the methodology to design and develop a learning media product. The learning media were validated by material expert, media expert and trial with the students. The researcher used questionnaires as the instruments in this study. The analysis of trial with the students using questionnaire with Gain Classification revealed a significant improvement in students' interest in reading after the enforce of the developed learning media with an average of 71% increase in students’ interest in reading. The development of the "Read Riddle Games" learning media has demonstrated high feasibility both in terms of material aspects and media aspects. This finding show that the learning media developed can be used to enhance students' interest in reading, thus contributing to a more effective educational experience.
Reading is an important element of culture

The scientific article talks about culture as a continuous conscious creative activity, which is associated with the creation of material and spiritual riches, their preservation and transmission to future generations. The process of emergence and development of reading culture as a structural, important element of general culture is considered. It is explained that it is a set of special knowledge, skills and experience necessary to study publications and electronic resources, and recommendations are given on the formation of reading culture in cooperation of family, school and library.
Sistem Informasi Komite Lingkungan PT. Bukit Asam Unit Pelabuhan Tarahan

The Environmental Committee Information System of PT. Bukit Asam Tarahan Port Unit is an application that aims to facilitate the management of data and information related to environmental activities in the working area of PT. Bukit Asam Tarahan Port Unit. This application is built using the waterfall method and equipped with features such as recording environmental activity reports, monitoring water and air quality, and managing environmental inventories. The data collection method used in this research is interviews and observations. The results of the study show that the use of this application can facilitate data and information management, as well as help in decision-making related to environmental activities at PT. Bukit Asam Tarahan Port Unit. This application is expected to improve the efficiency and effectiveness of environmental management at PT. Bukit Asam Tarahan Port Unit.
Evaluasi Performa Sistem Informasi FMIPA Universitas Lampung Menggunakan Information Systems Functional Scorecard (ISFS)

The information system at FMIPA Unila (Faculty of Mathematics and Natural Sciences, University of Lampung) is intended to support both academic and non-academic activities within the FMIPA Unila community. However, the system frequently faces disruptions, ranging from server shutdowns to unauthorized access by malicious individuals. Furthermore, some of the information service menus and features are currently inaccessible within the FMIPA Unila information system. The main aim of this study is to evaluate the operational efficiency of the FMIPA Unila information system from the user's point of view. The research employs the Information Systems Functional Scorecard (ISFS) method, which comprises three assessment dimensions: system performance, information effectiveness, and service performance. To gauge system performance, questionnaires were distributed to 100 student participants who represent various departments at FMIPA Unila. According to the ISFS calculations, the overall performance of the Unila FMIPA information system can be generally deemed satisfactory. Recommendations for improving and fine-tuning the FMIPA UNILA information system include the provision and completion of information services currently missing from the Profile menu, Academic menu, Research and Service menu, Student Affairs menu, and Document menu. Furthermore, enhancements should be made to the system's menu navigation features and menu buttons to ensure their proper functionality.
Digital Literacy: Enhancing English Reading Comprehension Among Foreign Language Students

Digital literacy has become an essential tool for authentic communication, information accessibility, and reading development. To enhance reading comprehension among English as a foreign language (EFL) students, an effective reading instruction that integrated technology into language teaching should incorporate digital literacy. This mixed-method study aimed to examine how digital literacy enhanced EFL students&amp;#39; reading comprehension and what focus areas of the digital literacy they employed within and beyond the classroom. Thirty Thai high school students participated in this digital literacy instruction for ten weeks. Findings from the Wilcoxon signed-rank test on the reading comprehension test revealed that the digital literacy enhanced EFL students&amp;#39; reading comprehension, particularly reading and evaluating information from texts. They reported from the questionnaire and semi-structured interviews that they tended to access and process information through the focus area of communicating and information in digital literacy for better comprehension beyond the classroom.
Efficient benchtop acid digestion of organic-rich sediments for ICP-MS analyses: testing analytical procedures on NIST 2702 standard reference material

Trace element abundances in organic-rich sediments are widely used in various fields of the geosciences, yet few contributions discuss the effectiveness of low-cost benchtop acid digestion techniques for such samples. Here, we tested three different sample preparation methods (acid digestion in closed and open vessels, and fusion) on twelve powder aliquots of organic-rich sediment, standard reference material NIST 2702. Comparison of newly obtained ICP-MS and LA-ICP-MS results with their respective certificate values, facilitates the assessment of digestion efficiency and the effects of vessel size, acid mixture, and other parameters on the recoveries of 29 trace elements. Our results show that benchtop digestion of organic-rich sediment in closed 7 mL PFA vessels using HF+HNO3+HClO4 mixture is more efficient compared with open vessel digestion treated with the same acid mixture (± HCl), with closed or open vessel digestions without HClO4, and with LA-ICP-MS measurements on fused glass discs.
Penerapan Metode Prototyping dalam Pengembangan Sistem Audit Internal Tingkat Program Studi (Studi Kasus: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Lampung)

PerBAN-PT No. 5 concerning APS Instruments, Accreditation is an assessment activity to determine the eligibility of a Study Program. The purpose of accreditation is to be able to determine the eligibility of a Study Program based on criteria that refer to the National Higher Education Standards and to guarantee the quality of the Study Program externally both in the academic and non-academic fields. Accreditation status is a benchmark for the performance of the study program concerned and describes the quality, efficiency, and relevance of an organized study program. The person in charge of assessing is called an auditor, the auditor needs information about the study program obtained from completing the accreditation assessment instrument by first making a study program self-evaluation document. In practice, staff must collect data along with evidence to the auditor to carry out an assessment in accordance with the standards set by BAN-PT, but study program staff in data collection still often experience data being scattered from one another, because the data collected is not small. This also sometimes results in less than optimal data collection to the auditor so that it can reduce the assessment. This problem can be overcome by making an Audit Information System so that data collection can be more organized. This information system was built using the prototype method with three stages, namely Listen to Customer, Build/Revise Mock Up, and Test Drive Mock-Up. This system uses the Laravel framework while for coding this system uses the PHP programming language. The testing method used is the Black Box Testing method with the Equivalence Partitioning type. The result of this study is a Web-Based Internal Audit Information System that can facilitate the internal auditing of a study program.
Evaluating the Effectiveness of Virtual Reality and Augmented Reality Technologies in the Training of Information Library Specialists

In an era dominated by information technology, the role of information library specialists has become increasingly vital. These professionals are responsible for managing, organizing, and disseminating vast amounts of information. To keep pace with the evolving landscape of libraries and information services, the training of information library specialists has also undergone significant changes. One such transformation is the integration of virtual reality (VR) and augmented reality (AR) technologies into the training process. This article explores the efficacy of VR and AR technologies in enhancing the training of information library specialists, drawing insights from scientific studies and relevant literature.