Reviewerly/exHarmony huggingface dataset:
Analysis of University Student Satisfaction Levels with the Learning Process on Five Dimensions of Service Quality (SERVQUAL)

Each academic course must conduct a self-evaluation, one method of which is a survey of students' attitudes towards the teaching and learning they experienced. Service quality affects how satisfied students are with the institution. There are five service quality dimensions (SERVQUAL): Reliability, Responsiveness, Assurance, Empathy, and Tangible. The purpose of the study was to analyze students' level of satisfaction with the learning process on the 5 SERVQUAL Dimensions and evaluate which dimension had the highest level of satisfaction. The object of research is the active students of Almuslim University in the Odd Semester of the Academic Year 2021/2022 totalling 1,023 people. Quantitative research approach with the type of survey research. Data was collected using a Google form questionnaire which was distributed online. Analysis of the data by calculating the Percentage of Respondents' Achievement Level (RAL) followed by calculating the Community Satisfaction Index (CSI). The results showed that the highest RAL was in the Assurance Dimension, the average score was 3.23, and the RAL was 80.65% (excellent category), while the lowest RAL was in the Tangible Dimension, the average core was 3.06, and the RAL was 76.44% (excellent category). Analytical findings on a per-item basis There are five areas that need tweaking: The incorporation of e-learning technology and instructor feedback into the classroom setting. Hotspot facilities, as well as learning facilities in the lecture room, are readily available to accommodate the lecturers' high availability for academic consultations and/or Final Project discussions. The Assurance Dimension received the greatest CSI score (3.23), and the highest CSI conversion score (80.65), while the Tangible aspect received the lowest CSI score (2.94), and the lowest CSI conversion value (73.38). Overall, we received a CSI conversion score of 79.45, for a grand total of 3.18 (good).
LEARNING PROBLEMS OF CHILDREN DURING THE COVID-19 PANDEMIC: THE APPLICATION OF HOME LEARNING IN EARLY CHILDHOOD EDUCATION

The objectives to be achieved in this study were to find out the factors causing the problem of implementing learning from home, to find a solution in overcoming the problems of implementing learning from home at Early Childhood Education children during the Covid-19 pandemic in PAUD Yaminna, Mojokerto City. This study used a descriptive approach. The technique used in this research is the technique of interview, observation, and documentation. Data analysis in this study includes data reduction, data presentation, and drawing conclusions. Checking the validity of the data using triangulation of data sources. The results of this study conclude In the learning process from home the teacher experiences problems or obstacles first, problems related to teacher competence, second, students' understanding problems, third, problems of parents who do not have android, fourth lack of cooperation between parents and students , the five limitations of facilities and infrastructure; The solutions to solve problems that arise when learning from home are first, increasing teacher competence in using/operating technology, secondly providing counseling to guardians about the importance of using android, fourth providing understanding to parents about the importance of parent-student cooperation.
The Tradition of Cacap-Cacapan Marriage as Indonesian Literature Online Learning Materials For High School Students

The lack of literary material sourced from indigenous regional traditions is the cause of the weakness of literary learning in high school. The purpose of this study is to find out the meaning of what speeches are contained in the Cacap-cacapan tradition of Lubuk Linggau West Sumatra, and to find out the process of learning to be bold in literature for high school students. The method used was qualitative. Participants as informants involved in this study were the traditional cacap-cacapan event guide, the bride and groom, the bride's parents, the close family of the bride and groom, and invited guests. The research location was Lubuklinggau City which is at the same level as the western district in the province of South Sumatra. The results of prayer analysis in the Cacap-Cacapan tradition show that the meaning of traditional prayer utterances contains hope, advice and words of motivation for the bride and groom to live a good life material and analysis of the Cacap-Cacapan tradition prayer was used as an online literature study. The online learning process could use different platforms in one learning activity. Learning focused on student activities with the stages of informing, sharing, discussing and evaluating.
Reservation And Virtual Tour Application Of Tourism Village in Banyuwangi Based On Android

Tourism development is the impact of changes in tourist interest in tourist destinations. The growing interest in tourism travel that wants to nature, interact, and learn the uniqueness of culture. Tourism Village is a form of integration between accommodation and supporting facilities presented in a community life structure that integrates with the rules and traditions that apply. To increase tourism potential in the Tourism Village promotion is required to attract travellers. Generally, traveller want to travel to the Tourism Village must come directly to the location to place an order. Therefore, we need an application regarding the information on Tourism Villages in Banyuwangi and ordering Android-based tour packages to bridge between visitors and Tourism Village managers. The application development method uses the waterfall framework by analyzing system design needs and testing. Application developed using a java-based programming language for the Android platform supported by the Android SDK and Android Studio as the development environment. This application aims to make it easier for the public and potential visitors to get information about Tourism Villages and to be able to order tour packages online. This application also makes it easier for Tourism Village managers to promote managed Tourism Villages
Decision Support System to Determine The Price of Used Computer Based On Specification and Usage Duration Using Fuzzy Logic

Using computers at work or others has many positive impacts, including a special program that simplifies data and media processing. Certain software applications will, for some time, require high computer specifications. Many people have computers and want to fulfill the application requirements by selling computers to upgrade the specifications. However, some people are not very knowledgeable about calculating the cost of a used computer. One of the things that are done to make it easier for users to determine the price of a used computer is to create a decision support system that will assist in determining the price of a used computer based on specifications and usage duration. The Fuzzy Logic method was used in this study by comparing the accuracy results of the Fuzzy Mamdani and Sugeno methods. The parameters are based on the purchase price of all computer components, including Processor, Motherboard, RAM, SSD, HDD, VGA, PSU, and Case and usage duration. Fuzzy Mamdani is proven to have a higher accuracy with a value of 71% when compared to Fuzzy Sugeno. Based on measurement findings and a comparison of the methods used. Therefore, Fuzzy Mamdani is recommended for future studies using the same parameters. The benefits of this research include a recommendation system that will make it simpler for the general public to determine the selling price of used computers based on their specifications and usage duration. Another advantage is that it makes it easier for the general population to become a reference when buying or selling used computers, mainly assembled computers.
Is It Enough? Intensive Program for ESL Students

In most EFL classes, the four language skills are taught to help students learn a language efficiently. When these language abilities are taught using the appropriate method, the linguistic gaps of English language learners may be filled. This study aims to investigate the level of improvement of EFL students after finishing 13-week semi-intensive language courses that concentrated on reading, writing, and conversation skills. A pre-test and a post-test of the same kind were administered to 62 participants, first-year students in the English department at the College of Basic Education, to gauge their language development. The participants were given a questionnaire to fill so as to understand their viewpoints concerning the treatment phase. The results showed that the majority of students improved after concluding the language skills courses. Most participants believed in the importance of reading as the most effective language learning skill and found it quite interesting.
Robust dual color images watermarking scheme with hyperchaotic encryption based on quaternion DFrAT and genetic algorithm

A robust dual color images watermarking algorithm is designed based on quaternion discrete fractional angular transform (QDFrAT) and genetic algorithm. To guarantee the watermark security, the original color watermark image is encrypted with a 4D hyperchaotic system. A pure quaternion matrix is acquired by performing the discrete wavelet transform (DWT), the block division and the discrete cosine transform on the original color cover image. The quaternion matrix is operated by the QDFrAT to improve the robustness and the security of the watermarking scheme with the optimal transform angle and the fractional order. Then the singular value matrix is obtained by the quaternion singular value decomposition (QSVD) to further enhance the scheme’s stability. The encryption watermark is also processed by DWT and QSVD. Afterward, the singular value matrix of the encryption watermark is embedded into the singular value matrix of the host image by the optimal scaling factor. Moreover, the values to balance imperceptibility and robustness are optimized with a genetic algorithm. It is shown that the proposed color image watermarking scheme performs well in imperceptibility, security, robustness and embedding capacity.
FishRecGAN: An End to End GAN Based Network for Fisheye Rectification and Calibration

We propose an end-to-end deep learning approach to rectify fisheye images and simultaneously calibrate camera intrinsic and distortion parameters. Our method consists of two parts: a Quick Image Rectification Module developed with a Pix2Pix GAN and Wasserstein GAN (W-Pix2PixGAN), and a Calibration Module with a CNN architecture. Our Quick Rectification Network performs robust rectification with good resolution, making it suitable for constant calibration in camera-based surveillance equipment. To achieve highquality calibration, we use the straightened output from the Quick Rectification Module as a guidance-like semantic feature map for the Calibration Module to learn the geometric relationship between the straightened feature and the distorted feature. We train and validate our method with a large synthesized dataset labeled with well-simulated parameters applied to a perspective image dataset. Our solution has achieved robust performance in high-resolution with a significant PSNR value of 22.343. 1
An assessment of utility of educational apps in medical education among undergraduate medical students - A cross-sectional survey

Background: Advanced technologies such as a smartphone, laptop, tablet, and iPad allow web browsing and use of online applications (Apps). It is a novel thought to integrate medical educational Apps in academic curriculum. They facilitate a quick access to evidence-based information. Usage of Educational Apps is constantly rising in developing countries like India. Hence, it is rationale to understand the use of Educational applications as an academic tool among medical students from a developing country context. Aims and Objectives: The aims and objectives of the study are to assess the utility of Educational applications in Medical Education and its advantages and disadvantages, among undergraduate Medical students. Materials and Methods: The study was designed as a cross-sectional survey to assess emerging patterns of educational applications use by medical undergraduate students. A structured Google Form online-based questionnaire was utilized for our study as a method of data collection. Results: In our study, we found that above 60% of 205 electronic device users were using their device for medical education. There was significant increase in the use of electronic device in medical education for online lectures, notes taking in our study. Study participants had an upstanding opinion (P = 0.79) toward advantages of electronic devices which were insignificant in the study. The responses by participants of various domains which include utility, opinion, perspectives, and limitations in addition to their correlation was analyzed. Conclusion: The lessons learned from this study are majority of the students use educational applications mainly for learning and communication purpose. With increasing use of electronic devices by students, it is rationale to consider these applications in the learning environment and incorporate in the medical curriculum in the near future.
Nighttime Pedestrian Detection Based on a Fusion of Visual Information and Millimeter-Wave Radar

A target detection algorithm based on the fusion of vision sensors and millimeter wave radar data can effectively improve the safety of self-driving vehicles. However, a single sensor cannot obtain comprehensive category status information on the target in the nighttime environment. To improve pedestrian detection in nighttime traffic scenarios, this paper proposes a nighttime pedestrian detection method based on the fusion of infrared vision information and millimeter wave (MMW) radar data. The lateral localization and category features of the target are obtained using the improved YOLOv5 deep learning algorithm, the distance and velocity information of the target is obtained by preprocessing the MMW radar acquisition data, the pedestrian target is tracked by using the extended Kalman filter for MMW radar detection, the projection of the valid radar target point on the IR image is completed according to the spatiotemporal fusion, and then the correlation gate method is used to correlate the data, and the visual information is inherited to the radar points to get the target multimodal information, and the success associated valid target sequences are weighted to obtain the accurate target position. Finally, a decision-level fusion algorithm framework is proposed to complete the output of pedestrian multimodal information in nighttime traffic scenes. Theoretical analysis and experimental results show that the accuracy and robustness of this method for nighttime pedestrian recognition are better than those of a single sensor.
A Probe into the Path of Integrating “24 Solar Terms” into International Chinese Language Education from the Perspective of Cultural Communication

The "24 Solar terms" is the life experience and cultural memory of the Farming society of the Chinese nation.It contains the survival wisdom and life philosophy unique to the ancient working people, and is praised as "The fifth invention of China" by the international meteorological circle.This paper analyzes the data of International Chinese Language Education and culture textbooks and Chinese as a foreign language teaching materials by using statistical method, and puts forward the value and significance of introducing the 24 solar terms into Chinese culture teaching as a foreign language.Starting from Chinese textbooks is conducive to carrying forward Traditional Chinese culture and helping learners to truly feel the essence of Chinese farming culture and its derived knowledge of poetry, proverbs, folk festivals and so on, so as to enhance their understanding and identification of Chinese culture.The innovative reuse of the inherent cultural value of "24 Solar terms" is a new path for The confident "modernization export" of Chinese culture.
ANALISIS SISTEM INFORMASI AKUNTANSI PENGGAJIAN KARYAWAN HONORER PADA SEKRETARIAT DPR KOTA SUBULUSSALAM

This study aims to find out how the payroll accounting information system of volunteer workers in Subulussalam City House of Representatives Secretariat works. This study uses a qualitative approach. The data types used in this study are primary data, with the data sources using the results of observations, interviews and documentation. The results of this study show that the payroll information system for temporary workers in the Subulussalam City House of Representatives Secretariat is not quite good, which due to the fact that there is no dedicated attendance registration section, may result in competing positions, and it is feared that this may lead to fraud and error.
The Impact of Gamification on IDU (ILearning Instruction) in Expanding Understudy Learning Inspiration

All fields have been upheld by innovation, particularly in the realm of training in the instructing and learning cycle to decide the nature of college graduates. In the realm of instruction, Raharja School has carried out iLearning learning techniques to accomplish learning objectives. Understudies are given growth opportunities utilizing the iLearning strategy which is a learning interaction utilizing the Ten iLearning IT Support points (TPI) media. Be that as it may, iLearning learning is viewed as ineffectual where numerous understudies don't speak with teachers as well as absence of data regarding addresses. Consequently, another learning strategy is made for the educating and learning interaction to be more powerful and can be created, the presence of gamification in internet learning is to urge understudies to be more energetic as well as an option in getting sorted out and molding learning circumstances to be seriously interesting and not dreary, with the goal that it tends to be tomfoolery and assemble character for understudies in taking part in web-based addresses, the presence of a leaderboard as a degree of understudy movement is likewise valuable to figure out how dynamic understudies are in chipping away at tasks and understanding the talk material given by the speaker.
Does task importance affect hospital employee performance? Evidence from the Kenyan context

Purpose: The primary goal of this research is to determine the impact of task importance on employee performance. Approach and Design:The target group consisted of 1945 nurses who work at Moi Teaching and Referral Hospital in Eldoret.Simple random selection was used to pick a sample of 320 nurses.A 5point Likert scale questionnaire was employed as the study tool.Questionnaires were utilized to collect data for the study.Tables, pie charts, one-way ANOVA, and multiple regression analysis were used to examine data using descriptive and inferential statistics.Findings: The null hypothesis that there is no association between task significance and employee performance was rejected based on the data.This is because the study's findings revealed that task significance has a favorable impact on employee performance (2=0.12,P-value 0.024).Practical implications: According to this study, task significance enhances employee performance, which is important for nurses.Originality and value: According to the findings, a high proportion of task importance leads to improved employee performance, and management should develop appropriate work design techniques to boost employee performance.
Research Oriented Reviewing of Quantum Machine Learning

Quantum machine learning is an interdisciplinary research domain that seeks to merge the concepts of quantum computing and machine learning. Owing to the computational complexity and time constraints of certain scientific chal- lenges, classical computation is often inadequate, and quantum computation offers a promising alternative. Notable algorithms in quantum machine learn- ing include quantum versions of classical machine learning algorithms, such as support vector machines, and classical deep learning techniques, such as quantum neural networks. The primary aim of quantum machine learning is to improve the performance of machine learning by leveraging quantum com- puting. While there have been promising advances, quantum machine learning still requires significant advancements in quantum hardware to fully realize its potential.
Artificial Intelligence(AI) Enhanced Eye Tracking System For Tetraplegia Patients

People who are incapable of managing all of their muscles other than their head and eyes. There are some medical conditions, such as Locked in Syn- drome, that can induce paralysis or motor speech disorders in persons, which can result in voice or speech impairments. Traditionally, many people can communicate by tracking their movements and blinking their eyes. Communi- cation is important for allowing people of this type to express how they feel and what they need. Using an IOT module and an eye tracking system based on CNN (Convolutional Neural Network), we design a technique of interper- sonal communication for a tetraplegic patient in this system. The use of eye blink detection and movement tracking for communication is also possible for quadriplegic patients. With a voice board speaker and this project concept, talks can be delivered while imparting all necessary information. The goal of this research was to develop an IOT module that would enable tetraplegic peo- ple to send emergency information to the care team using deep learning and digital image processing. Following the end of the interaction, the technology will be able to flawlessly display the audio signals from the gaze movement.
DIVERSIFICANDO NA PRÁTICA A UTILIZAÇÃO DOS MÉTODOS ÁGEIS: SCRUM E KANBAN – DESENVOLVIMENTO DE UMA LOCADORA DE VEÍCULOS

Increasingly the degree of demand from customers in the business environment regarding product delivery time and better quality. When there is a reference to software development, a great change is perceived in the processes established today, which must follow specific methods according to the appropriate area. The objective of this work is to characterize the agile methods (Scrum and Kanban) to manage complex projects and identify which one is the best applied for a given situation, including the possibility of using them together. A bibliographic research was carried out and an application was developed with the objective of using the comparison of two Agile Methodologies relating the good practices adopted in both methods, through the concepts, values, differences of each one. It was concluded that it is possible to use Scrum and Kanban together in a practical approach, combining the best elements of both methodologies. Teams took advantage of the flexibility and adaptability of Scrum while using the visual representation and flow-based principles of Kanban to optimize time and quality of work.