Reviewerly/exHarmony huggingface dataset:
Hyperparameter Model Architecture Xception in Classifying Zophobas Morio and Tenebrio Molitor

Zophobas Morio and Tenebrio Molitor are popular larvae as feed ingredients that are widely used by animal lovers to feed reptiles, birds, and other poultry. However, these two larvae are similar in appearance; their nutritional content is very different. Zophobas Morio is more nutritious and has a higher economic value compared to Tenebrio Molitor. Due to limited knowledge, many animal lovers have difficulty distinguishing between the two. This study aims to build the best configuration of the Xception architecture hyperparameter model that can distinguish between the two. The model is trained using images taken from mobile phones. Training is carried out using the parameters Epoch 15, Batch Size 32, Optimizer Adam, RMSprop, and SGD. The experimental results on the dataset show that the best accuracy for the Xception architecture hyperparameter model is Optimizer Adam with an accuracy rate of 100%, and Optimizer SGD with an accuracy rate of 100%. And of course, it gives very good results
New Education Policy 2020: Design and Challenges of Implementation

A new National Education Policy has been launched which will bring radical changes in the education sector. It is more promising and flexible in formulating educational policy by targeting the shortcomings of earlier policies. Education is a subject in the joint list of both the center and the state, in which there will be no board exams for 10th and 12th, the focus is on basic education by dividing it into pre-primary, secondary, higher secondary and higher education. Primary education will be imparted in the mother tongue only arts. Various cultural sub-systems have been given independent status. The topic of student dropout has been taken seriously by suggesting the creation of integrated B.Ed. courses to create more quality education and teachers. According to the new educational policy, the gap between the universities and the college will be reduced. Until now, education was completely based on Western philosophy, instead of Indian language literature, Sanskrit literature poetry, Novels, science, plays, books like Ramayana, Mahabharata, including advanced philosophy like Vedas, Upanishad Gita, etc., Sanskrit is the former of India. It seems to be hoped that a more effective and efficient education can be provided through the use of various effective tools such as language of knowledge, pre-Ayurvedic medical practices, yoga, business guidance, education, assurance, financing, practice labs, etc.
Pengaruh Pola Asuh Orangtua dan Kebiasaan Belajar terhadap Prestasi Belajar Fisika

The purpose of this study was to determine the effect of parenting and study habits on physics learning achievement of students of class XI IPA SMAN 2 Cibinong in the 2010/2011 academic year. This research is a quantitative research. The data collection tool used is a survey by distributing questionnaires of parenting and study habits to students. The results of this study are in the form of numbers that have been processed. The data used in this study were taken from questionnaires and the odd semester report card results of the 2010/2011 school year. Parenting and study habits of students have a positive influence on the physics learning achievement of students at school. That is, the better the parenting style and learning habits of students, the better the physics learning achievement of students at school.Keywords: parenting, study habits, physics learning achievement
Evaluation of Double-Line Teaching Effect During the Epidemic Period

The goal of the paper is to evaluate the double-line teaching effect, combining the offline teaching main line and the online teaching line in Southwest Jiaotong University during the COVID-19 epidemic. Our research is based on AHP, and fuzzy comprehensive evaluation. By using the collected teaching form data, student achievements, and teaching feedback, the weight of these indicators and the comprehensive effect of double-line teaching are obtained. The comprehensive evaluation score of the existing teaching effect is scored 0.87 in a full score of one point. The results indicate that double-line teaching positively affects students in the course, especially in making students accept and learn English from the course. And a comparison is made between the method and the Delphi method to certify the validity of our research.
Design of Zaen Hotel Syariah Information System Based on Website

Zaen Syariah Hotel still uses a conventional information system, which is less efective and ineffecient because it take a long time and requires data search in bookkeeping. In an effort to improve the design of the information system, imporovements need to be made to the manual room resevation administration and manual data management as well. The goal of designing this information system is to facilitate acces and data retrieval. By using the information system at zaen syariah hotel, the admin can easily an quickly navigate through the hotel’s information system. The method used in designing this information system include data collction through interview and literature study, data collection through Unfied Modeling Language (UML) using use case diagrams, sequence diagram, activity diagrams, dan class diagrams
Transformer-Guided Video Inpainting Algorithm Based on Local Spatial-Temporal joint

INTRODUCTION: Video inpainting is a very important task in computer vision, and it’s a key component of various practical applications. It also plays an important role in video occlusion removal, traffic monitoring and old movie restoration technology. Video inpainting is to obtain reasonable content from the video sequence to fill the missing region, and maintain time continuity and spatial consistency.OBJECTIVES: In previous studies, due to the complexity of the scene of video inpainting, there are often cases of fast motion of objects in the video or motion of background objects, which will lead to optical flow failure. So the current video inpainting algorithm hasn’t met the requirements of practical applications. In order to avoid the problem of optical flow failure, this paper proposes a transformer-guided video inpainting model based on local Spatial-temporal joint.METHODS: First, considering the rich Spatial-temporal relationship between local flows, a Local Spatial-Temporal Joint Network (LSTN) including encoder, decoder and transformer module is designed to roughly inpaint the local corrupted frames, and the Deep Flow Network is used to calculate the local bidirectional corrupted flows. Then, the local corrupted optical flow map is input into the Local Flow Completion Network (LFCN) with pseudo 3D convolution and attention mechanism to obtain a complete set of bidirectional local optical flow maps. Finally, the roughly inpainted local frame and the complete bidirectional local optical flow map are sent to the Spatial-temporal transformer and the inpainted video frame is output.RESULTS: Experiments show that the algorithm achieves high quality results in the video target removal task, and has a certain improvement in indicators compared with advanced technologies.CONCLUSION: Transformer-Guided Video Inpainting Algorithm Based on Local Spatial-Temporal joint can obtain high-quality optical flow information and inpainted result video.
An Online Scheduling Platform for Veterinary Appointments

As a result of technological advancements such as the internet and wireless networks, many businesses, including veterinary clinics, have implemented these technologies in their day-to-day operations, and this trend has grown in popularity in recent years. This project proposes that veterinary clinics adopt an online, web-based appointment system to make the appointment process more efficient and straightforward. This research has two objectives: designing and developing a web-based concept for an online appointment booking system. The appointment system is subjected to a usability test to determine whether the proposed system simplifies appointment scheduling for users. This study employed the waterfall model, which consists of six phases, including requirement, analysis, design, coding, testing, and implementation. Visual Studio Code, for the coding process, and XAMPP control panel, for the development and testing of the system on a local web server, were utilized during the development of this research. During the testing period, functionality and usability tests were conducted, and based on the test results, the majority of users agree that this online appointment system is simple to use. In conclusion, this research has helped to simplify the appointment process for users of veterinary clinics, and it can be improved in the future by adding a payment gateway to the system to facilitate online banking payments.
The Influence of Knowledge Management, Knowledge Workers and Industrial Revolution 4.0 Towards Competitiveness in Ivory Glove Sdn Bhd

The aim of this study was to examine the influence of knowledge management, knowledge workers, and industrial revolution 4.0 (IR4.0) on the competitiveness of Ivory Glove Sdn Bhd. Two methods have been used in this study which were interviews and questionnaires. The interviews have been conducted with the Vice Chairman of Ivory Glove Sdn Bhd, and the management team. In addition, a total number of 106 employees in Ivory Glove Sdn Bhd have participated in this research study. The Statistical Package for the Social Sciences (SPSS) was used to analyze the data. The research goals were met using reliability analysis, descriptive analysis, and correlation analysis. According to the findings, Ivory Glove Sdn Bhd's competitiveness is positively impacted by all the variables. However, this study also showed that Ivory Glove Sdn Bhd needs to put more emphasis on knowledge management for the business to be more competitive in the market and industry. The findings of this study have an important implication on how Ivory Glove Sdn Bhd's management could improve and focused on the competitiveness for its future growth. The results of this study provide information on how the company can achieve competitiveness by implementing change management related to knowledge management, upskilling the knowledge workers, and adapting industrial revolution 4.0 concepts in manufacturing operations. All the above are essential for an organization to remain competitive and relevant in the global market. Based on the findings, it can be concluded that there is a positive influence of knowledge management practice, knowledge workers’ contribution, and adaptation of industrial revolution 4.0 on innovation competitiveness in Ivory Glove Sdn Bhd. The adaptation of the fourth industrial revolution is critical in ensuring knowledge capture, knowledge creation, knowledge sharing, knowledge transfer, and knowledge application, particularly to assist management in exploring global networking and branding their product in Malaysia, as well as to improve knowledge workers' expertise and skills in becoming competitive in the digital era.
Investigating Financial Statement Fraud: A Bibliometric Analysis of Research Publications from the Last Two Decades

Financial statement fraud is a serious issue that can lead to far-reaching consequences for businesses, investors, and the economy. To better understand this issue, this study tries to examine the progress of research publications on financial statement fraud by analyzing data obtained from the Scopus database between 2003 and 2022. Descriptive bibliometric analysis was utilized to generate a bibliometric tabulation of research publications focused on significant financial statement fraud research. The analysis involved identifying patterns in research publications to determine the publication year, top authors, citation count, types of studies, journal sources, publishers, institutions, countries, and document types. By utilizing scientific quantitative analysis and statistics, this study will provide some valuable insights that help bridge the gap using bibliometric analysis. Additionally, it could improve the understanding of financial statement fraud for future research and facilitate the creation of a research agenda for academic scholars.
Interval Methods in Knowledge Representation

International Journal of Uncertainty, Fuzziness and Knowledge-Based SystemsVol. 31, No. 04, pp. 711-712 (2023) No AccessInterval Methods in Knowledge RepresentationVladik KreinovichVladik KreinovichDepartment of Computer Science, University of Texas at El Paso, El Paso, TX 79968, USAhttps://doi.org/10.1142/S0218488523970048Cited by:0 Previous AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Check out our titles on Fuzzy Logic & Z-Numbers With a wide range of areas, you're bound to find something you like. FiguresReferencesRelatedDetails Recommended Vol. 31, No. 04 Metrics History PDF download
Youtube Videos as Supplementary Materials for Teaching English Literature

This study determined the effective use of YouTube videos as supplementary materials in teaching English. It utilized quantitative design using quasi-experimental approach to the Grade 6 pupils of Bernardo Vasquez Memorial Central Elementary School who were randomly assigned into two groups: the experimental group, who watched YouTube videos during the conduct of English lesson, and the control group, who were not exposed to YouTube videos. It used the researcher-made questionnaire as assessment tool to determine the effectiveness of YouTube videos as supplementary material in teaching English. Based on the results of the study, the following findings were identified: The performance in English of the participants in both control and experimental groups have improved as per pretests and posttests results in the writing and speaking tasks. However, the experimental group has higher post-test results after using YouTube relevant videos in the English class in both writing and speaking perform ancethan the control group.; There was a significant difference between the pre-test and post-test results of each group in terms of writing and speaking; There exist a significant difference on the post-test English performance between the control and experimental groups after controlling the effect of the pretest. From the findings of the study, the following conclusions were drawn: (a) The performance of the pupils in writing and speaking in English in both groups prior and after the use of relevant Youtube videos as supplementary material to teaching English have improved after the conduct of the study; (b) The students in both experimental and control classes demonstrated the skills as expected of them in the teaching of language, but the experimental group performed better, and (c) the YouTube videos used to teaching language are effective in teaching language
LANGUAGE LEARNING MOTIVATION EMPLOYED BY THE STUDENTS IN SEKOLAH INDONESIA KUALA LUMPUR, MALAYSIA

The current article attempts to investigate the motivation of language learning employed by students learning English as a foreign language but living in a state that uses English as a second language, Malaysia. The current research focused on the types of motivation by Gardner &amp; Lambert, namely instrumental and integrative, the dominant types of instrumental and integrative, the differences between natural science and social science, and also what items of students' motivation most related to their language learning. The exploratory, descriptive quantitative method was applied in this study with the total subject (N=18) students of Sekolah Indonesia Kuala Lumpur (SIKL) at XII grade students of natural and social science class categorized into three levels: low, moderate, and high level. A close-ended questionnaire was used, which consisted of fourteen statements adopted from Dornyei's language learning motivation. The study result revealed that in SIKL, students were generally oriented toward instrumental rather than integrative motivation. Both natural and social classes showed that instrumental was more oriented by the students. Furthermore, the students present the motivation to learn English to prepare for a better career and future. Besides, most students present that they are motivated to provide a chance to travel to English countries. The study's findings have implications for the English teaching and learning process, especially for giving good learning materials, methods, and models suitable to their language learning motivation. Furthermore, motivated students tend to put more effort and consistency into their language-learning process, which leads to success.
IMPLICATIONS OF SPEECH RECOGNITION THROUGH NLP: AN OVERVIEW

In the current state of digitalization researchers have found a leading-edge technology that delivers information to users from the digital machine and vice-versa and i.e. Natural Language Processing (NLP), one of an AI branch that made a difference. NLP is a computational representation and analysis of human language, which globally aims to facilitate naturally occurring interaction between computers and individuals whether phonically, calligraphically or textual. NLP has various booming sides in advanced world and has expands its applications in different domains. One of its application Speech recognition is a large field of research for modern-day researchers. Speech recognition, also known as automatic speech recognition (ASR) or speech-to-text, is capable of handling human speech in a written format. The main focus is on development of recognition system which enhances human-to-human communication by permitting man-machine communication through the processing of texts or speeches. It is a technology that makes it possible for people to communicate with devices. Several applications of voice recognition systems are in place and all understand diverse scrutiny challenges.This paper captures the necessity of how speech recognition actually functions, types of model, resolving challenges of ASR. Deep study on functioning of Alexa and Siri.
TOD: Trend-Oriented Delay-Based Congestion Control in Lossless Datacenter Network

In current high-speed data center networks, congestion control is crucial for ensuring consistent high performance. Over the past decade, researchers and developers have explored several congestion signals such as ECN, RTT, and INT. However, most of the existing congestion control algorithms suffer from either imprecise congestion detection due to ambiguous signals or excessive bandwidth loss due to aggressive rate decrease. This paper proposes a novel congestion control mechanism called TOD, which is a trend-oriented delay-based approach designed for lossless data center networks. TOD leverages the change in RTT to learn the congestion trend and adjusts the sending rate accordingly. By analyzing the congestion trend, the sender reacts by adjusting the sending rate to a reasonable level, while still maintaining high bandwidth utilization to dismiss congestion. The sender uses a reference rate, which is calculated by the receiver and communicated back to the sender, to achieve this target. Therefore, TOD is a sender-receiver cooperative congestion control mechanism. We evaluate TOD extensively in NS-3 simulations using both microbenchmark and macrobenchmark. Our experiments demonstrate that TOD outperforms DCQCN and Timely in terms of FCT and convergence speed.
PENENTUAN SKALA PRIORITAS DAN POLA PENANGANAN KERUSAKAN JALAN LINGKUNGAN KAWASAN PERMUKIMAN KUMUH DI KOTA MATARAM

Population growth, economy and urbanization are several factors causing the creation of slum areas in urban areas. One indicator of a slum area is the poor quality of the road surface. This condition becomes a negative paradigm towards the implementation of development by the Government. Weak databases lead to not optimal programming and planning processes that lead to not optimal implementation and supervision in the field. This study aims to compile a database for environmental road handling plans in slum settlement areas based on Geographic Information Systems (GIS), so as to provide information on priority scales and patterns of environmental road management in slum settlement areas. The method used is descriptive quantitative by weighting based on 3 parameters, namely: 1) road management program, 2) the number of dwellings/houses that have direct access to the road and, 3) other considerations including strategic location value, population, and condition socioeconomic. This research concludes that the programming and planning process which is carried out subjectively based on conditions and needs in the field can make efficient use of the budget so that it is right on target in the following years. So that it can be used as a recommendation for determining priorities on each environmental road segment and a program for handling patterns of slum area scale in the city of Mataram
Generative Modeling and Inverse Mapping for Reservoir Navigation with Shallow-to-Ultra-Deep LWD Electromagnetics

Summary We have tested our pilot 3D generative modeling and hybrid physics + AI/ML mapping applied to oil &amp; gas reservoir navigation. Initially, we developed the capability to statistically mimic a logging survey and analyze the computed electromagnetic tool responses. Then, under real-time and pre-/post-well memory workflow conditions, probabilistic inverse mapping has been investigated aiming at optimal placement of the new wells. We wrap-up our forward and inverse applications into deployable soft notebooks and power them with CPU/GPU parallel computing and 3D scene visualization. The use of supercomputing-on-chip performance features, web-based GUIs and OS-agnostic environments makes these soft notebooks very suitable for fast-fail-fast-learn interactions not only with internal subject-matter experts, but also with early adopters among the partners and customers in the industry.
Student support and motivation in online learning: evidence from pilot online course implementation

Teaching and learning in a virtual environment bring many changes in the implementation of study content. During online learning, the number of hours of contact learning between the lecturer and students decreases, more attention is paid to students’ self-study. Students lose the opportunity to receive informal emotional support from the academic staff and fellow students, and the sense of community and belonging to a higher education institution decreases. The research presented in the article aims to reveal students’ opinions about students’ support and their motivation during online studies while implementing a pilot online-taught study course. The research was conducted under the Erasmus+ project “Quality of Virtual Studies”. Students from four higher education institutions in Lithuania, Spain, Croatia, and Finland participated in implementing the pilot online learning course. Study courses taught remotely were designed based on the quality assurance criteria for virtual studies developed during the project. Students studied the pilot online-taught study course for three months. They completed questionnaires about their online learning experience twice: before and after they started participating in the course. The study results reveal that the most important source of support for students during online studies is communication with the lecturer. It was established that most students’ support during remote studies is provided by the following means: personal video or email from the lecturer, clear structure of the course studied remotely, clear procedures of the study course, and pre-announced hours of remote consultations with the lecturer. The study reveals that students are most motivated during online studies by receiving feedback from the lecturer, the interest of the academic staff in students’ motivation and motivational tools, a clear study plan of the course studied, the variety of innovative computer technology tools used during online studies, and the contribution of the lecturer, promoting cooperation between learners.