Reviewerly/exHarmony huggingface dataset:
The Effect of Using Blog in Writing Procedure Text

This study was due to several problems related to the Learning English in writing. The problem was low daily test in writing on procedure text. Hereby, this study aimed to find out whether there was significant difference the students’ score procedure text in the control class and in the experimental class after using blog. Furthermore, this study used quasi experimental design. Then, the total sample was 37 students taken from class XI ITT as experimental class and XI IPS as control class of MA.KM Muhammadiyah. Moreover, the result of this study showed that the calculation of post-test of both classes, experiment class and control class was as follow, it obtained that the t-obtained (2.171) which was higher than the t-table (2.030) with degree of freedom (df) = 35. The alternative hypothesis (Ha) was accepted and the null hypothesis (Ho) was rejected which meant that there was significant difference score writing in the control class and in the experimental class after using blog. It proved that using blog as writing could help the students in improving their ability in writing. This blog could be used as an alternative tool and it hoped that this blog improved students' abilities, especially on procedure text.
Communications: PhotonicsViews 3/2023

PhotonicsViewsVolume 20, Issue 3 p. 18-22 CommunicationsFree Access Communications: PhotonicsViews 3/2023 First published: 20 June 2023 https://doi.org/10.1002/phvs.202370305AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Volume20, Issue3June/July 2023Pages 18-22 RelatedInformation
Sky Image Analysis and Solar Power Forecasting: A Convolutional Neural Network Approach

Recently, the share of renewable sources in the energy mix of production units has been steadily increasing. The unpredictability of renewable sources leads to difficulties in planning, managing and controlling the electric energy system (EES). One of the ways to reduce the negative impact of unpredictable renewable sources is to predict the availability of these energy sources. Short-term forecasting of photovoltaic power plant production is one of the tools that enable greater integration of renewable energy sources into the EES. One way to gather information for the short-term forecast production model is to continuously photograph the hemisphere above the photovoltaic power plant. By processing the data contained within the images, parameters related to the current output power of the observed power plant are obtained. This paper presents a model that utilises a convolutional neural network to analyse images of the hemispherical sky above a power plant to predict the current output power of the power plant. Estimating current production is a crucial step in developing models for short-term solar forecasts. The model was specifically developed for photovoltaic power plants and is capable of achieving high accuracy in power prediction. The estimation of power production from photovoltaic power plants enables the use of next-frame prediction for short-term forecasting.
Web-Based School Academic Information System

Academic management activities are an essential part of the world of education related to the teaching and learning process. Currently, the academic information system at one MTs school in Bandung is still being done manually, such as recording student data, teacher data, subject data, scheduling data, and class data. However, this method is considered less effective because it is prone to damage or loss of data. This study aims to develop a system for data collection in teaching and learning activities. In developing the academic system, the author uses a qualitative descriptive method, in which data collection is carried out through triangulation, data analysis is inductive/qualitative, and research results emphasize meaning rather than generalization, emphasizing use cases. The programming language used to design and implement this academic information system is PHP with SSL, and the database used is MySQL. The results of this research can assist Curriculum officers and teachers in managing student data, teacher data, subject data, scheduling data, and class data more quickly and reduce the risk of data damage or loss.
Development of An Expert System for The Diagnosis of Kidney Disease Using the Certainty Factor Method

Kidney disease is a prevalent health issue affecting millions of people globally. Early and accurate diagnosis of kidney diseases can help in the timely and effective management of the condition. Expert systems, such as those using the Certainty Factor (CF) method, can provide doctors with valuable assistance in diagnosing kidney diseases more efficiently and accurately. This study aims to develop a kidney disease diagnosis expert system using the CF method. The developed system consists of data collection, data storage, and data processing components, with the CF method used to calculate diagnostic confidence levels and decision-making based on predetermined rules. The knowledge acquisition process was carried out by interviewing three nephrologists to obtain rules for diagnosing kidney diseases. The expert system's evaluation is conducted by comparing the system's diagnostic accuracy with a specialist doctors. The results show that the developed expert system has an accuracy rate of 85.7% in diagnosing kidney diseases. The system also has a user-friendly interface, which allows doctors to input symptoms and obtain a diagnosis quickly and accurately. The developed system has several advantages over traditional diagnosis methods. It can diagnose multiple kidney diseases simultaneously and provide a differential diagnosis, allowing doctors to choose the most appropriate treatment plan for their patients. The system also has the potential to reduce diagnostic errors and improve patient outcomes.
Game-Based Instructional Delivery in Promoting School Achievement in Public Elementary Schools

The study determined the practices of teachers in developing game-based instruction towards game-based learning, game-based learning activities and game-based learning environment and assessed the school achievement through teachers’ performance that includes strategies, innovation and intervention and students’ performance which includes motivation, skills and academic achievement. The researcher applied the descriptive method of research where the respondents described the existing practices in line with the Game-Based Instructional Delivery and School Achievement. The descriptions were obtained from her respondents which included One Hundred (100) Public Elementary School Teachers of Tiaong I District Tiaong, Quezon. Survey and type questionnaires were developed and validated to gather data. The result shows that teachers perceived Game-Based Learning as always practiced with mean of 4.13. The teachers assist the students in acquiring their skills. The result shows that teachers perceived Game-Based Learning Activities as always practiced with mean of 4.14. They always practicing and promote positive attitude and sense of fairness and sharing towards the students’ mastery. Based on the result, teachers perceived Game-Based Learning Environment as highly-practiced with mean of 4.23. As they go along in teaching their students on various games, the lesson become more enjoyable as they engage them in different games. Based on data gathered and interpreted in Teachers’ Performance, the level of school achievement is Very Good (Mean – 4.19). Based on data gathered and interpreted in Students’ Performance, the level of School Achievement is Excellent (mean – 4.29). Because they became motivated in learning the topics through the use of games. As the result shown on that the correlation of Game-Based Instructional Delivery and School Achievement is significant at the 0.01 level. And this result explained that the relationship among Game-Based Instructional Delivery and School Achievement are significantly related. Thus, the null hypothesis indicates that there is no significant relationship between GameBased Instructional Delivery And School Achievement is rejected.
Image Registration using the Rigid Group

Image registration is the process of approximate matching of the source image to the target so that they resemble each other. In this study, two-dimensional image registration is presented using the rigid group. This group is a finite dimensional group (four-dimensional in this case) under composition. The dimensions of the rigid group are scaling, rotation, and translations along the axes. In this paper, an algorithm for the construction of rigid transformation is presented using the discretized objective function. This objective function is based on SSD (sum of the squares of the distances between the pixels intensities) and calculates the discrepancy between the images. The coarse search and the gradient descent approaches have been used for the optimization. The proposed algorithm is implemented on variety of images. The numerical examples illustrate the ability of the proposed algorithm.
Correlation of Web-Based Learning Media to Students' Knowledge in Kala Ii Time of Childbirth Diii Midwifery

The advantages offered by computer and internet technology are not only in the speed of obtaining the information that has been provided but also in multimedia facilities that can make learning more interesting, visual, interactive and fun so that it will foster students' motivation and interest in learning. This study aims to determine the relationship between web-based learning media and knowledge of the second stage of labor in DIII midwifery students. This study used an analytic descriptive method with a cross sectional design. The population in this study The population in this study were all female D-III Midwifery Institute of Bone Science and Health. The number of samples in this study amounted to 32 people with a sampling techniqueusing non-probability sampling with purposive sampling technique. From the results of the analysis using the chi square test. The results of the research on the relationship of web-based learning media to knowledge of the second stage of labor are classified as good, as evidenced by the results of the questionnaire distributed to 32 respondents. The average score calculation of the questionnaire is 87. 18 which are categorized as good. there is a relationship between web-based learning media on knowledge of the second stage of labor in DIII midwifery students indicated by the presence of t count &gt; t table (0.480&gt; 0.297) and a significance of 0.01 &lt;0.05, so that Ha is accepted and Ho is rejected.
WАYS OF FORMING THE READINESS OF THE FUTURE TEACHER OF MUSICAL ART TO THE ACTIVITI ON STAGE IN THE PROCESSES OF INSTRUMENTAL TRAINING

The author of the article studied and mentions the specific of performing skills, effective methods, techniques, conditions that ensure efficient formation of readiness of future teachers of musical art to activity on stage during instrumental training, emphasizing on such qualities of a musician as psycho-emotional states during a concert realization; emphasizing on recommendations for an effective implementation of an interpretive model of music works. A concert performance is a special form of activity on stage of a future music teacher. This type of professional activity has its own regularities that must be considered not only during the preparation period of the concert, but also in the process of working on a piece of music. Students of higher education and teachers should consider the specific peculiarities of thinking and specialties in behavior during activities on stage and peculiarities in the creation of the performance form of a musical work precisely during preparation for the performance. Understanding these phenomena will contribute to successful achievement of artistic goals in the process of activity on stage, professional development of the future specialist as a whole and will help prevention and coping stage stress, the path of which is multifaceted and complex. Working with stage stress, in most cases, should be built based on individual approach to the development of stage reflection, creation of positive psychological attitude, formation of constructive skills, a creative and positive attitude to extreme situations. The very necessity of overcoming stage stress became the key to determining the paths of formation of readiness for activity on stage in the process of instrumental training of future music teachers as it allowed to find new resources of qualitative basis for improving executive training in accordance with modern requirements. After all, psycho-emotional states often become an obstacle to performance excellence during a concert performance. Key words: readiness, activity on stage, instrumental training, methodological approaches, higher education applicant, future musical art teacher.
Top-Down Approaches in Human Pose Estimation: A State-of-the Art Review

This paper offers a comprehensive exploration of top-down approaches in human poseestimation, a key facet of computer vision. These approaches primarily focus on identifying the humansubject in an image or video, followed by determining the spatial configuration of their body joints. Suchtechniques are instrumental in an array of sectors, from healthcare and sports analytics to entertainment andsecurity systems.The document delves into the foundations of top-down pose estimation, presenting a review of establishedand emerging models. It explicates the role of key performance metrics, including Average Precision (AP),AP at specific Intersection over Union (IoU) thresholds (AP50, AP75), Average Recall (AR), and AR at anIoU of 0.50, in appraising the efficiency and reliability of these models.The paper underscores the substantial strides made in top-down pose estimation and discusses their efficacyin managing diverse real-world scenarios. It draws attention to the various challenges associated with thesetechniques, such as handling occlusions, processing images or videos with multiple individuals, andaddressing computational constraints.In conclusion, while top-down approaches in pose estimation have shown notable progress and promise,there exist avenues for further research and development. This paper intends to provide a foundationalunderstanding of these techniques and a platform for future advancements in the field.
The Effect of Application of Artificial Neural Network (ANN) in Restoration of Power Failure in 330KVA Lines

Power system failure/blackout is a major problem we face in the country.When they occur, the negative effects on commerce, industry and everyday life of the general population can be intense.The essence of this research work is to bring about the effective power restoration in the Nigerian national grid system using the Artificial Neural Network Intelligence Nigerian 330kV Network was modeled for the south eastern part of the system.The entire network was modeled in PSAT and the south eastern part was mapped out and modeled with power library in MATLAB SIMULINK.The current signal of the system without fault occurrence was presented.The output result from the initial data was encouraging.This proves that with the use of artificial neural network on our nation 330kva Line grid will bring a great solution to power failures we encounter most at time on our Power lines.
Perceived Stress During Covid-19 Pandemic: Its Relationship To The Academic Performance Of Students

This study investigated the relationship between the COVID-19 perceived stress levels and the Science academic performance of the 3rd year secondary Science education students of M SU-IIT for the academic year 2020-2021.The researchers adopted a quantitative purposive sampling method with a total sample of seventy -five (75) students.Results showed that students experienced high levels of COVID-19 perceived stress.The emotional stress domain was the most experienced wherein feelings of anxiety, irritation, forgetfulness and disorganization, sweaty palms, and sleeping problems were the common stress indicators.M oreover, the perceived stress indicators were almost always experienced throughout the academic year 2020 -2021.Lastly, the study found no credible evidence supporting the correlations between the students' Science academic performance and COVID-19 perceived stress levels.Further research is recommended with a larger sample size for more relevant results.The researchers also suggest that universit y administrators provide online mental health consultations and time management webinars to help improve academic performance and minimize stress.
The Effect of Recreation Model for Enhancing Leadership of Recreation Leaders

Apart from knowledge and basic skills, leadership is an essential element to advancing professional recreation leaders in conducting recreational activities.Therefore, this experimental study aimed to examine the effect of recreation model for enhancing leadership of recreation leaders.Using one-group pretest-posttest design and purposive sampling, the data were collected from 50 participants.The dependent t-test, frequency, percentage, mean, and standard deviation were applied to investigate the differences between the mean scores from the pre-and post-recreation leadership self-assessment test.The results revealed that the recreation model enhanced 1) relationship for unity and selfawareness, 2) self-discipline and emotion management, 3) team building, 4) problem solving, 5) experience and counseling, and 6) professional ethics.There was a significant difference between the mean scores from the pre-(2.99)and post-(4.77)test at the significant level of .05.Consequently, recreation leaders improved their leadership after the implementation of the recreation model.
VIRTUES AND CHARACTER STRENGTHS OF KAZ AND NINA'S CHARACTERS IN THE NOVEL SIX OF CROWS

This research was aimed to find out and compare the virtues and character strengths of Kaz and Nina's characters in the novel Six of Crows. The researchers used Peterson and Seligman's theory of virtue and character strengths. This research used the qualitative method. In the analysis of the 285 data found in this research, the researchers found 161 data indicating Kaz's virtues and character strengths and 124 data indicating Nina's virtue and character strengths. Both characters possess all six virtues: wisdom and knowledge, courage, humanity, justice, temperance, and transcendence. The researchers found that Kaz and Nina possess twenty-one-character strengths. Kaz possesses all of the character strengths but love, citizenship, and gratitude, while Nina possesses all but fairness, leadership, and forgiveness and mercy. Based on the research findings, the researchers concluded that both Kaz and Nina possess all the virtues mentioned by Peterson and Seligman. Additionally, both characters possess the same number of character strengths which is twenty-one-character strengths, even though their character strengths are relatively different.
Relationship between Self-Efficacy and Push-Up Performance among Male Gymnasium Members

The main objective of this study is to identify the relationship between selfefficacy and push-up performance among male gymnasium members.This study is a quantitative study, and this proposed study adopted a non-experimental study, survey correlational design.The respondents were male gymnasium members of World Fitness Gym, Bukit Rahman Putra, Sungai Buloh (n=14) first completed questionnaires assessing their medical health status, determining their physical activity daily living, and identifying their self-efficacy to perform push-up test.After completing the questionnaires, participants performed 1-minute push-up test to determine their fitness performance.The data were analysed using the Pearson-correlation coefficient to find the relationship between variables.Results showed that there is a very low positive association and no significant relationship between self-efficacy and push-up performance among male gymnasium members (r = .18,n = 14, p > .05).In future, this study recommended to investigate the relationship between self-efficacy and push-up performance among female gymnasium members and compare between male and female.Besides, future study should involve other types of exercise such as muscular strength, flexibility, and cardiorespiratory endurance to compare the performance between exercises.
Estimation of Fish Pose with Human Structure using Multi Level Neural Network

Pose estimation refers to the method of estimating human positions from a photo.Pose estimation can be done both in 3-D and in 2-D which helps to analyse the motion.During the early days of human pose estimation, classical techniques called picture structures had been furnished.To come to be aware of human beings successfully in snapshots, key factors at the body are mainly positioned to determine their pose.Human hobby, popularity, human-monitoring, laptop interplay, gaming, signal-languages, and video surveillance all required to estimate the positions.It's been proposed in this paper that several procedures are used to resolve this trouble.XGBoost Gradient neural network algorithm is experimented for the human pose dataset and shows better result for fish pose estimation.
DETERMINAN PRESTASI AKADEMIK MAHASISWA TINGKAT I PROGRAM STUDI KETATAKALAKSANAAN PELAYARAN NIAGA DAN KEPELABUHANAN (KPN) / PROGRAM STUDI MANAJEMEN

This study examined the determinants of academic performance for a sample of Level I Students in the Management of Commercial Shipping and Portrait Programs. The determinants consist of class participation rate, gender, study time and part-time work as predictors of academic performance. The population of this study were all first semester students of the Commercial Shipping and Port Management Study Program (KPN) / Management Study Program. In this study, the sample consisted of 21 students from one class. Hypothesis testing of this study uses multiple regression analysis. The classical assumption test and normality test are also used in this study. The results show that: class participation positively affects student academic performance; gender has a negative impact on student academic performance; study time does not affect student academic performance; part time work does not affect student academic performance.
Building outcome standards of the curriculum based on digital literacy to respond human resource for digital transformation for higher education

aa Digital transformation is one of the core content and plays an extremely important role in socio-economic development towards the goal of Industry 4.0. It is not only about improving technology but also changing awareness, management model and management strategy. Digital transformation in education is one of the major contents of national digital transformation. In order to achieve the goal of digital transformation in education, the building of the curriculum to response the digital literacy criteria for student outcome standards is an important issue for providing digital human resource. Therefore, in this paper, we represent some issues related to digital transformation, digital literacy in the curriculum towards the goal of training human resource for digital transformation for higher education in Vietnam. A case study of the curriculum in Quang Binh University will be discussed.