Reviewerly/exHarmony huggingface dataset:
Neural Clustering and Ranking Approach for Gas-Theft Suspect Detection

Abstract Some boiler room users steal natural gas by refitting equipment without permission in winter, resulting in gas safety hazards and social problems. Instead of random manual on-site inspection, it is crucial to discover gas-theft suspects timely and automatically by analyzing the gas consumption data. Unfortunately, gas-theft behaviors are complex and various, while the caught gas thefts by gas companies are limited. In this paper, we propose a neural clustering and ranking approach to detect gas theft suspects under the positive-unlabeled learning framework. Our approach contains two modules: joint clustering for normal user identification and triplet ranking for suspicious user detection . The former module considers the regular behaviors to distinguish between normal and unstable users by integrating representation learning and clustering. Then, considering the identified normal samples and the labeled gas thefts, the later module excavates the behavior correlations to discover suspects among unstable users through triplet relation ranking. Thus, normal user identification and suspicious user detection are seamlessly connected to overcome the label scarcity problem. We conduct extensive experiments on three real-world datasets, and the results demonstrate the advantages of our approach over various baselines.
STRATEGY FOR CREATING AN EXPERT SYSTEM BASED ON FUZZY LOGICAL INCLUSION OF MAMDANI TYPE

It is known that quantitative data (knowledge) can be inaccurate, while there are quantitative estimates of such inaccuracy (confidence interval, significance level, degree of adequacy, etc.). Linguistic knowledge can also be inaccurate. The theory of fuzzy sets is used to account for the inaccuracy of linguistic knowledge. . The use of fuzzy sets allows one to describe fuzzy concepts and knowledge, operate with this knowledge and draw fuzzy conclusions. A prerequisite for the use of fuzzy models is the presence of uncertainty due to the lack of information or the complexity of the system and the availability of qualitative information about the system. The advantages of fuzzy systems include their universality [1].
Implementation of school disaster risk reduction in coastal schools: Basis for a plan of action

School Disaster Risk Reduction Management (SDRRM) plays a crucial role in ensuring that learners, teachers and other school personnel are safe on the school premises. This study evaluated how well coastal schools in Cluster VII of the Division of Pampanga, Philippines had implemented a school disaster risk reduction management system. This study used the descriptive research method. Respondents to the study were seventy-four (74) public school teachers during the school year 2020-2021. In this research, the following findings were obtained: The respondents assessed safe learning facilities, school disaster management, risk reduction and resilience education and coastal school safety procedures. However, among these categories “coastal school safety procedures” got the lowest overall mean score. Additional findings showed that there is no discernible variation in the degree of SDRRM implementation across the respondent schools. This means that these schools have uniformity in implementing school disaster risk reduction management. It is recommended that schools maintain uniformity in the implementation of DRR policies.
The Metaverse Media Analysis In A Future Of Instructional Strategy

Along with the development of the technology and information age, new technology has emerged in the form of AR (Augment Reality) and VR (Virtual Reality), namely 3D digital technology that exists in the Metaverse, so that from this growth era this can affect the world of economics, politics, and education. Thus, Metaverse is proven to be effective and efficient in future learning strategies. besides that, Metavres is an alternative, especially in the world of economics, politics, and education. So with this in mind, in the case study educational researchers have a purpose and are curious about what Metaverse technology is and how influential it will be for the world of education in the future. This research uses qualitative research with a literature research approach (Library Research) by way of describing scientific studies that intersect with the Metaverse and educational strategies. The basis of this research is a combination of several features in Metaverse with educational strategies. Thus making continuity between implementation and process very potent in the future. Keywords: Metaverse, Strategic, Learning
Learning media of digital booklets for class VIII junior high school

The learning system that has changed to online causes teachers to be creative in delivering material through digital learning media. Thus, research on the development of booklets into digital learning media needs to be carried out to assist teachers in facilitating learning and assisting students in understanding the material. This study aims to determine the quality and appropriateness of the content and its presentation as a medium for learning science in class VIII SMP material on the structure and function of plant tissue. This research method is a Research and Development (R &amp; D) study, adapted from Thiagarajan’s 4 D (Define, Design, Development, and Disseminate) model. The data taken is the result of product assessment with a data collection instrument in the form of a questionnaire analyzed using descriptive-quantitative data. The resulting assessment from four media experts, four material experts, and a teacher showed the digital booklet in the very good category, with an average of 78.13% (media), 88.28% (material), and 96.88% (teacher). Besides, students gave very good responses., indicated by the acquisition of an average assessment of 94.89%. The digital booklet could be used as an alternative learning media on the structure and function of plant tissue.
An Attempt at Detecting Fake Profiles Using Neural Networks

Here, we use machine learning, in the form of an artificial neural network, to calculate the probability that a user's friend request on Face book is genuine/real or not.The relevant libraries and classes are also described.Further, we talk about the sigmoid function and how the weights are calculated and applied.In the end, we think about the most crucial aspects of the social network page to consider while implementing the proposed solution.
A Dual Security Protection Mechanism for Cloud-Based Data Storage and Sharing

Abstract: Cloud-based data storage service has drawn increasing interest from both academic and industry in recent years due to their efficient and low-cost management. Since it provides services in an open network, it is urgent for service providers to make use of secure data storage and sharing mechanism to ensure data confidentiality and service user privacy. The most widely used method is encryption to protect sensitive data from being compromised. However, simply encrypting data (e.g., via AES) cannot fully address the practical need for data management. Besides, effective access control over download requests also needs to be considered so that Economic Denial of Sustainability (EDoS) attacks cannot be launched to hinder users from enjoying service.
Developing a mobile augmented reality for facilitating socio-scientific issue-based biology learning

This study is research and development using modified design and development research (D&amp;DR) model through three main phases: 1) design; 2) development; and 3) evaluation with the aim of establishing an instructional product for teaching and learning. Augmented reality technology was used to develop a Mobile Augmented Reality of Respiratory System (MARRS) which was proposed for conducting socio-scientific issue-based biology learning on the topic of respiratory system. The MARRS was designed to visualize the context of smoking. More specifically, students were able to observe the structure and function of the respiratory system, simulation of smoking effects on lungs, and lung’s disorder affected by smoking. Research findings show that there are three main aspects to be considered as the framework of the MARRS development: (1) the system design; (2) features; and (3) how to incorporate the MARRS into SSI-based biology learning. Once the MARRS was developed, it went through several round of validations by experts, practitioner, and users to evaluate its properness for teaching and learning. According to the validation criteria, the MARRS was categorized as very good in general. It can be concluded that the MARRS is proper to be implemented in teaching and learning of the respiratory system topic.
THE IMPORTANCE OF MORAL VALUES EDUCATION IN TEACHER TRAINING

It can be said that values have a very serious impact on the functioning of the individual. A person who concentrates these values in his professional activity and is an example for society by his personality is a teacher. It is no accident that the future of every nation depends on decent citizens, and the education of these citizens depends on the teacher. The level of education and training of teachers throughout history have made both Eastern and Western educators and thinkers think, distinguished by the authority of the teacher, his culture, humanism in communicating with people, kindness, norms of moral and ethical behavior.
Research trends on biology digital modules: A bibliometric analysis

Currently there is widespread interest in the use of digital modules for learning. The availability of studies on research trends and development of digital modules, can be a need analysis for further development of digital modules. Therefore, this bibliometric analysis was conducted to explore research trends on biology digital modules over the last decade. The data used in this study are Google Scholar indexed articles in 2012-2022. A search through the Publish or Perish (PoP) application using the keywords "modul digital" OR "digital module" OR "e-modul" from 2012-2022 obtained 988 results, then the remaining 41 articles were analyzed using Microsoft Excel to analyze the data descriptively and VOSviewer to obtain bibliometric mapping visualizations. Based on a bibliometric analysis study in the area of biology digital modules , it is known that publications about biology digital modules have been recognized since 2015 to 2022, reaching a peak in 2021, and most of them come from Indonesia. The most widely applied type of research is R&amp;D involving high school students. Critical thinking skills are one of the 21st century skills that are most widely included in biology digital modules . Network visualization shows that there are 45 terms that are relevant to the digital biology module and are grouped into 3 clusters. The overlay visualization shows that "STEM" is a term that will appear in the 2022s. Density visualization shows that "e-module", "research", and "development" are the 3 terms with the highest density. The findings of this study are expected to be a reference for other researchers in optimizing the role of digital modules to support student learning.
Exploring Lexical Errors of Indonesian EFL Students in Writing Recount Texts

&lt;p&gt;&lt;em&gt;The study aimed to examine the EFL students’ lexical errors in writing recount texts. This study employed a descriptive qualitative method involving 31 students and uses the taxonomy of James’ lexical errors in analyzing the texts. The findings revealed that there was a total of 161 lexical errors in the students’ recount writings. Likewise, it was claimed that misselection became the most frequent lexical error, with 73 errors. The next was suffix type with 35 errors and calque with 10 errors. Furthermore, the results showed that most students felt difficult to select the appropriate lexical types in writing recount texts and most of the formal errors resulted from the intralingual error. Thus, the study recommends that the teachers teach vocabulary in contexts rather than words and use English thesaurus or monolingual dictionaries to find the grammatical content, definitions, examples, spelling, or other structures. The study also recommends online lexical analyzers, drillling, and remedy as the other alternative methods of reducing lexical errors in writing.&lt;/em&gt;&lt;/p&gt;
APPLICATION OF BLOCKCHAIN IN ENERGY

Blockchain or distributed ledger technology has attracted great interest from companies in the energy industry. The combination of blockchain and energy is undoubtedly one of the most striking technological innovations in recent years. A typical application area of blockchain in the energy industry is trading and credit. Stakeholders use blockchain technology to promote distributed or wholesale energy transactions and create virtual grids. Consumers can trade between their own devices and resources, with their neighbors and with the grid. The whole process can be automated through smart contracts. In this article, we will discuss some use cases related to the application of blockchain in the energy field.
PEMEROLEHAN BAHASA KEDUA PADA ANAK USIA SD MELALUI KEGIATAN MENONTON SERIAL UPIN IPIN DI TELEVISI

Language Aquisition or commonly referred to as language acquisition is very important in human life. Language is a means of communication when interacting with others, which must be mastered by humans from an early age. Language acquisition and good language mastery mastered from an early age can support the quality of human life, especially in the aspect of social interaction with others. Therefore, given the importance of early language acquisition, language acquisition in children is important to learn. This article will present some brief reviews of language acquisition in terms of design and how language acquisition in children is obtained through electronic media, namely by watching the Upin Ipin animated series on television. The source of data in this study is the "Upin Ipin" series, chosen by the author because this animated series is much favored by children, especially elementary school age. The purpose of this research is to describe language acquisition in children and its influence on children's psychology through the animated series "Upin Ipin" in terms of linguistics, namely phonology, morphology, syntax. The method used in this research is qualitative method with case study approach. The results obtained in this study, among others, in terms of phonology, children can be said to be fluent in pronouncing vowels and consonants clearly. In terms of morphology, children have not used systematic sentences. From the syntactic level, they have produced adjective, noun and verb phrases. Through watching the Upin Ipin animated television series, eight-year-old children have the ability to use deixis in their speaking activities, both conversations with peers and with parents.
RESPON PESERTA DIDIK PADA METODE PEMBELAJARAN YANG DIGUNAKAN GURU DALAM PEMBELAJARAN DARING

Various kinds of learning methods are used by educators in online learning so that students' responses are more varied. This study aims to find out how students respond to the learning methods used by teachers during online learning. The method used in this research is descriptive qualitative through a survey where the information is obtained from respondents via Google forms. The results showed that the majority of students stated that the online learning atmosphere tended to be passive and the teachers were less or not able to convey material as well as during offline learning. The learning methods that are widely used are discussions, exercises, and lectures using zoom meeting media. Most students stated that online learning was effective, but several others stated that online learning was sufficient, lacking, or even ineffective. It was calculated that 85% of the 78 respondents chose to carry out learning offline, because it was more fun and the material presented was well received. This shows that students' interest in online learning is still low, online learning makes their assignments more and more and not a few teachers enter the class only giving assignments without explaining any material. This indicates that the learning methods used by teachers are less acceptable to students, the various responses indicate that online learning has deficiencies in delivery in various circles.
ANALISIS KESALAHAN BERBAHASA TATARAN SINTAKSIS PADA KARANGAN SISWA KELAS VII SMP PGRI 1 KEDIRI

This study aims to describe the level of grammatical errors in the essays of seventh grade students of SMP PGRI 1 Kediri in the use of sentences. This research uses qualitative methods and descriptive research. The study in this research is in-depth and clearly gets the direction for the misuse of sentences at the syntactic level in student essay writing. In this study, data were collected through reading skills, note taking, and interviews for teachers and students. The data collection procedure consists of preparation, data collection, data analysis, and presentation of data analysis results. Data analysis techniques include identification, categorization, data presentation, and conclusion drawing. The results of this study prove that students make writing errors in the form of sentences that include four parts. Based on the findings, it shows that the reasons for language errors in students' writing are due to lack of attention to the use of grammar in writing, students' lack of vocabulary, and teachers' disinterest in them and providing sentence writing exercises.
Information Preservation and Restore Strategies for the Cloud Era

Computing in the cloud is the method that is most frequently employed by companies for the purpose of storing huge volumes of data. In the data-driven society that we live in today, a significant amount of data is produced each day. You are going to need data backup and recovery services in the event that you suffer an unplanned loss of these files. Here, we examine a variety of data-protection methods in order to compare and contrast their respective merits and downsides and to better understand the innovative aspects of each technique.
Effective Method for Accessing Medical Records using Blockchain Technology

Research and innovative medical practises are constantly advancing and revolutionising the medical industry. The success of healthcare reform depends on a number of variables, one of the most important of which is the safeguarding of patients’ right to privacy about their own medical information. Important patient information should be transmitted only to those who need to see it, hence using encrypted channels for data transfer is crucial. As this is the case, the article’s author suggests using a system called distributed block chains to protect healthcare institutions’ data. The results of this study suggest that a healthcare system based on blockchain technology could provide patients and healthcare providers with a trustworthy and safe way to store sensitive data. My stance has been to push for a middle ground that will ensure patient privacy. It has been rigorously examined, and the outcomes confirm that it is resistant to standard attacks. Furthermore, an Ethereum-based implementation has been used to assess the proposed system’s viability.
An Investigation of Heterogeneous Embedded CPU and GPU Architectures

Edge detection using the Canny method is popular. The Canny method’s calculation is too complex for traditional embedded systems, preventing real-time edge recognition. High-end embedded CPUs with GPGPUs can process more data (General Purpose Graphics Processing Units). This research proposes a distributed computing-friendly parallel canny technique.
Deep Convolutional Neural Network Recognition of Hand Gestures

Hand gestures are becoming more common in HCI. No matter the project, the majority of the task will involve interaction with other parts of the body, the environment, etc. We demonstrate how to locate a user’s hand and movements, apply this information in a home situation, and interact with the system in this work. Using this information is also discussed. Sign language communicates visually using hand motions. Hand gestures may help hearing-impaired people communicate. Processing hand gestures lets people use their hands to communicate. Words can be made by combining signs and digits on the palms of one’s hands. Sightbased and glove-based hand motions are used nowadays. In this paper, we introduce deep convolutional neural networks for image classification and demonstrate their utility in hand gesture classification. In particular, we examine how these networks can recognise hand motions. Deep convolutional hand gesture can uncover many hand motions. Hand gestures can express many emotions. Time is needed to comprehend the hand motions Using a convolutional neural network to separate items or photographs saves time and effort. Hand actions demand more time to assess. In this case, the deep convolutional neural network speeds up the procedure. The system’s precision, sensitivity, and accuracy will improve with deep CNN. CNN, which divides the dataset into chunks, can be utilised to get high accuracy, specificity, and sensitivity from the dataset. Once the camera transmits the hand gesture image, the system will stop.
Peningkatan Keterampilan Membaca Intensif melalui Metode Pembelajaran Kooperatif Tipe STAD Siswa Kelas XI IPS 3 MAN I Pekanbaru

This research is to explain the process of increasing intensive reading skill on students class XI social 3 MAN 1 Pekanbaru thought STAD cooperative study method. The subject of the research is the student’s class XI social 3 MAN 1 Pekanbaru which is consist of 24 students. The subject is chosen because based on the observation the class has the lowest achievement compare with another classes. The data is taken in form of qualitative and quantitative. Qualitative data is collected by onservation, picture and videos. Quantitative data is taken fromstudent’s achievement and student’s observation sheet. The finding of the research suggestthat the using of STAD cooperative study method can increase student’s intensive reading skill in determine the fact and opinion sentence and utter the head line of a text. Based on the findings, the writer conclude that: (1) The using of STAD cooperative study method in determining fact and opinion sentence can increase the student’s achievement on class XI social 3 MAN 1 Pekanbaru. (2) The factors to increase it are: a) teacher attitude in the process of intensive reading study. b) The good communication between teacher and student’s, student’s and student’s among them selves. c) The right study method used by the teacher in intensive teaching process. And d) The fun and happy condition of teaching createdby the teacher