Reviewerly/exHarmony huggingface dataset:
Research on Image Recognition Technology Based on Machine Learning

With the rapid development of artificial intelligence technology, the network image recognition technology of machine learning is intelligent and production and life in computer vision system technology in China have gradually achieved significant success. On this basis, the computer network image recognition system is constructed by machine learning with image features such as cross-verification, fitting, accuracy, feature selection, and dimensionality reduction, and the results show that the machine learning algorithm improves the stability and multi-domain application of computer image recognition through cross-verification and deviation of decision tree units. Recognition technologies such as feature vector extraction, edge information, and texture features of machine learning algorithms improve the accuracy of image recognition.
Dampak Implementasi Sistem Informasi Akuntansi atas Kualitas Data Keuangan UMKM Saat Pandemi di Bandar Lampung

The implementation of SIA (Accounting Information System) has led to modern accounting departments in organizations such as MSMEs for financial management. However, most MSME owners do not realize the importance of this. The purpose of this study is to re-investigate the impact of the implementation of AIS on the quality of MSME financial data in Bandarlampung. The study used quantitative data using a questionnaire on the multiple linear regression method. The population used was 417 MSMEs and the sample used was 200 MSMEs in Bandar Lampung. The results showed that the information system application variables, input variables in the accounting information system application, and security variables from the AIS application had a significant positive effect on the quality of financial data. This means that the implementation of AIS in MSMEs must be maintained and the use of information technology increased in accordance to the improve the quality of MSME financial data for its users. This is because the existence of technology such as AIS can make it easier for users to make decisions from evaluating financial performance for the sustainability of MSME businesses.&#x0D; Keywords: AIS; MSME; Data; Financial.
Retracted: The Construction of Sports Health Management Model Based on Deep Learning

[This retracts the article DOI: 10.1155/2022/5194665.].
AVOC

IoT systems rely on collected data to operate autonomously and generate insights. Such systems commonly produce redundant measurements, which can be insufficient to mitigate complex data disagreements. We believe a well-defined process to achieve internal ground truth through fusion is needed. Leveraging two case studies, we show how sensor data fusion with variants of history-aware voting can help to reconcile observations. We contribute a specification scheme with unified format to define the parameters and characteristics of a particular voting scenario, supporting reliable decision-making. Finally, we deploy and evaluate a novel method of bootstrapping historical records of sensor modules using a clustering algorithm. This method boosts the convergence of the measurements by 4×.
Homomorphic matching on publish/subscribe brokers based on simple integer partition and factorization for secret forwarding

We introduce a novel homomorphic matching scheme for forwarding publications to interested subscribers through content-based brokers without exposing private information. We generate private homomorphic encryption keys using a time-based one-time password system. We made our scheme lightweight by employing integer partition and factorization. Thus, we observed little performance degradation compared to the plain-text matching scheme.
On-the-fly autoencoders as subscriptions for face detection on a publish/subscribe system

This paper presents a publish/subscribe system that accepts sample face images from the subscribers to autoencode a person in emergent pursuit or tracking. Autoencoders trained on the fly based on a convolutional neural network are deployed to publish/subscribe brokers in the form of subscriptions. Face captures sent from the surveillance cameras are injected into the autoencoders to detect the person in search. We discuss the matching accuracy and the overhead of the training process to obtain the autoencoders.
Local Cultures Folklore Grounded from English Textbooks for Secondary High School Indonesia

English Language Teaching (ELT) is inseparable with the teaching of the language’s culture. Indonesia has a national agenda of integrating folklore into the subject of English language in schools. Therefore, this study aims to identify the types of folklore in Indonesian EFL textbooks for secondary high school. This study collected data from 10 textbooks from Grades 7, 8, 9, 10, 11, and 12, which are published by Erlangga, Yrama Widya, Yudhistira, PT Tiga Serangkai Pustaka Mandiri, and Kemdikbud. The data analysis method was content analysis. Results showed that Indonesian EFL textbooks for secondary high school level contains 5 genres of folklore, namely fables, fairy tales, folktales, legends and myths. This study found that the most dominant type of folklore in the textbooks are legends 12 (36,3%), followed by folktales 11 (33,3%), fairy tales 5 (15,1%), fables 3 (9,3%), and lastly myths 2 (6,0%). All genres covered the cultural heritage of nearly every island and major city in Indonesia, including other countries such as Vietnam, Serbia, German and Japan. This means that Indonesia is succeeding in carrying out the national agenda of preserving students' cultural awareness and local wisdom through the teaching of folktales in ELT. The findings of this study are useful to support and enrich cultural elements integrated in English textbooks particularly the for the teaching of folklore in Indonesian EFL classrooms.
Exploring Students’ Reading Ability in An Extensive Reading Class Through Constructivism of Narrative Text

The level of understanding of reading English narrative texts at the junior high school level still needs to be given extra learning. There are many factors that prevent students from understanding the narrative text, one of which is students who have difficulty understanding English words in narrative texts. This study uses the theory of constructivism, namely two-way learning carried out by the teacher and the students in the class. This research uses a qualitative method, in which the researcher uses research by means of classroom observations, and interviews in an effort to obtain data at school. The participants in this study were eighth grade students in one of the public schools in Bekasi Regency, West Java. The selected students are representatives of several students in the learning group. The results of this study are, there are some students who still do not master and understand the narrative legend text using constructivism techniques.
Challenges and Opportunities Facing Mataram English Teachers in Academic Publication

This study is aimed to identified challenges and opportunities facing Mataram English teachers in academic publication. The data of lecturer were collected by using questionnaire and interviews 25 junior high school English teachers in MGMP (Musyawarah Guru Mata Pelajaran) Bahasa Inggris Kota Mataram. The data were descriptively analyst by identifying, classifying, describing, explaining, the challenges and opportunities. The study found that time, academic writing skill, motivation, confidence, and supporting facilities an responsible to lack of academic publication amount English teachers. Nonetheless, opportunities is result from teachers in developing self in personal skill, writing skill, and skill in accessing academic resources for people wring in academic publication.
Effect of Colour Usage and Dialogue Reading Practices in Solving the Visual and Auditory Perception Problems of Students with Dyslexia

Dyslexia is a specific learning disability in reading. It is the most prevalent learning disability. This study aims to reveal the effect of the use of colours, peer assessment and reading dialogues on the education of students with dyslexia. The study uses a technical collaborative action research method. Two male students diagnosed with dyslexia and studying in the second year of primary school were participants in the study. The study lasted for 12 weeks following the research plan. The students were required to read the chosen tales in Aesop’s Tales aloud. After reading the stories, the students also read selected dialogues in the elementary school course books determined by the Ministry of National Education. Two letters by which the students got confused were marked in two different colours in the first text. The colouring gradually reduced in the new text. There was no colouring in the last text. Results show that the use of colours was effective in reducing the confusion of letters. The students corrected their mistakes mutually through the peer assessment method. The students liked the reading activity and made fewer reading errors compared to other texts.
The digital evolution of art: current trends in the context of the formation and development of metamodernism

The involvement of gadgets and digital technologies is becoming an increasingly integral part of everyone's personal life and work life. Art has also adapted to the rapid digital evolution and computerization in all creative fields. This trajectory of development provokes a new form and philosophy of artistic development, which is called metamodern. This article examines the theoretical foundations of metamodernism and defines the main provisions of this cultural phenomenon through the prism of the development of digital technologies and the latest means of artistic direction. The main purpose of this research work is the study and in-depth analysis of the formation and development of metamodernist intentions in the modern cultural environment and the definition of the conceptual content of metamodern art. Also, the author of the article determined the purpose of distinguishing metamodernism because of the differences in its essential characteristics from the characteristics of modernism and postmodernism. The methodological approach of the research is the search and theoretical analysis of Ukrainian and foreign sources aimed at studying the phenomenon of metamodernism in view of the digital evolution of art. The author of this article used the method of analysis, cultural-historical, descriptive, comparative and theoretical-literary methods of research. As a result of scientific research, the formation and development of digital art and metamodern art were analyzed. The author also tried to identify the nearest trends in the development of the philosophy of metamodernism in the Ukrainian artistic field.
A face cropping strategy for facial expression recognition

In the process of facial expression recognition by convolutional neural network, aiming at the problem that the complex background interferes with the extraction of expression features, a simple face cropping strategy is proposed. First, the critical facial expression regions are calculated by face alignment and landmarks detection, thus the background influence outside the facial expression region is reduced, and then the convolutional neural network is used to further extract expression features and enable expression classification. The experimental results show that the facial expression recognition effect is significantly improved by the proposed method, and the recognition accuracy on the facial expression datasets JAFFE and CK+ reaches 90.48% and 96.67%, respectively.
Implication of Probing and Prompting Questions for Argumentation Writing Skills

This article provides a basis for thinking that probing and prompting in learning to write can support the ability to develop arguments. Theoretical hypotheses of this research are (1) Probing and prompting can be strategic ways or steps that teachers can take to improve reasoning and strengthening in critical thinking, (2) Argumentation is a discourse learner that needs to be trained with reasoning and strengthening critical thinking. This research has been carried out by applying inferential statistical tests to see the significance of probing-prompting questions on the ability to write arguments. Based on the results of non-parametric statistical tests with the Mann Whitney t-test technique, the results obtained sig 0.000&lt;0.05. Based on this description, the results of this study state that there is a significant effect of using probing-prompting questions on the argumentation writing skills of junior high school students. Probing and prompting questions have a significant impact on writing skills which are carried out with evaluations in the form of basic questions and prompting questions applied by the teacher. The implications published through the application of probing and prompting questions are an increase in the ability in causality, truth fact disclosure, and logical sentences connection and diction. This shows that probing and prompting can be recommended as an innovative step in argumentation learning.
Quantum computers and the universe

Ideas for quantum computing change the way we think about space and time.
Retracted: Novel Multirole-Oriented Deep Learning Text Classification Model

Classifcation Model" [1] due to concerns that the peer review process has been compromised.
Comparison between Traditional and Flipped Learning on Nursing Students Achievement and Satisfaction regarding Postpartum Care Topics

Background: Rapid changes in the nursing profession require the use of innovative educational approaches in educational nursing programs.The flipped teaching strategy is an active learning strategy to enhance students' critical thinking ability and competencies when caring for post-partum women and raise students' satisfaction with learning.Objective: This study aimed to compare traditional versus flipped learning on maternal and newborn health nursing students' achievement and satisfaction regarding postpartum care topics Methods: A quasiexperimental design was applied with pre-and post-test assessments in the experimental and control groups.The tools: Five tools were used in data collection namely, Interview questionnaire, Pre & post-test, postpartum evaluation sheet, observational checklist for postpartum care and student satisfaction survey.Results: The majority of students' mean age was 20.70 ± 0.73&20.55± 0.60 (for the control & study groups respectively).The study results showed that highly significant differences between the two groups in the average knowledge scores before and after the test with regard to postpartum nursing care.The findings also showed that there are highly statistically significant differences between the two groups in the average scores between students in the mid-semester and final exam in various question topics.It can be concluded that, the impact of the flipped classroom increasing satisfactory level of knowledge regarding post-partum topics in terms of examination or assessment results and in contrast with clinical practices it was the same result of performance among two groups in term of demonstrations clinical procedures and application of care in hospital clinical skills.The study recommended that replicating this study in other nursing and medical courses.
HUBUNGAN MINAT MEMBACA DENGAN KEMAMPUAN MENULIS CERITA PENDEK SISWA KELAS XI SMK SWASTA SWAKARYA BINJAI TAHUN PELAJARAN 2020/2021

The Relationship between Reading Interest and Short Story Writing Ability by Grade XI Students of Swakarya Binjai Vocational School for the 2020/2021 Academic Year. This study aims to determine the correlation between interest in reading and the ability to write short stories by class XI students of SMK Swakarya Binjai for the 2020/2021 academic year. The sample of this research was class XI AK totaling 19 people. This type of research is quantitative with a correlation (relationship) between one variable and another. Based on the results of data analysis, it can be concluded that there is a relationship between reading interest and the ability to write short stories for class XI students of Swakarya Binjai Vocational School for the 2020/2021 academic year as indicated by the value of rcount &gt; rtable, namely 0.977 &gt; 0.368.
Online Digital Invitation (An Implementation with Go-Web)

This study aims to develop an online digital invitation service that can be used for all activities such as invitations to religious, family, and personal activities and in the application development process the Go Web framework is used. This study uses research with the Research and Development method. The product developed based on initial research is the Online Digital Invitation System. The test subjects in this development are expert subjects and students of STMIK Indonesia Banda Aceh as potential users of the product. This research was taken by random sampling technique, which consisted of 20 small-scale and 30 large-scale test people. The data collection technique was done by using a questionnaire. This questionnaire was conducted to assess the application developed from the completeness of the application and the material as well as the physical appearance of the application. Data analysis is descriptive quantitative and qualitative. Based on the results of research and discussion of research results to develop an Online Digital Invitation System, several stages of feasibility testing are needed, namely media expert tests, material expert tests and tests on respondents. Based on the results of research on small group trials, the Digital Online Invitation System was obtained. Most 90% stated that it was very feasible to use, and the results of research on large trials, most of the students, 96.67% stated that it was very feasible to use. With these results, it can be concluded that the Online Digital Invitation System is very feasible to use. Based on the conclusions from the results of the study, it is implied that the Online Digital Invitation System is very feasible to use, so that it becomes good input for users in making digital invitations both used through browsers and android.
College Performance Monitoring Application using Appclay Shephertz

This college monitoring application was developed using Appclay Shephertz by applying 8 Key Performance Indicators for all Colleges. The results of the application have succeeded in displaying data on eight college performance KPIs, namely; 1) graduates get decent jobs, 2) students get experience off campus, 3) lecturers have activities outside of campus, 4) teaching practitioners on campus, 5) lecturers' work is used by the community, 6) study programs work together with class partners world, 7) Collaborative and participatory classes, and 8) international standard study programs. Users can access by pressing the button. Then a black-box test is carried out on this application, the results are that all the buttons tested run well and are ready to be used. This research uses the R&amp;D (Research and Development) development model. To test the success of the Higher Education Performance Monitoring Application, the Higher Education Performance Monitoring Application test was used with 17 test items having a 100% success rate, the Feasibility Test and the Interpretation Percentage were used by experts in measuring aspects of design, communication, and software assessment so that the percentage was 81, 42%, and in the validation test, the provisions on item 25 in the Aiken V table are with a lower limit of 0.64 to an upper limit of 0.93 or a V value of 0.83. The results of the average value of V = 0.794 are declared valid.
AppYourself Instant Store (Case Study: SMEs Industry in Aceh Province)

The purpose of this study is to implement the use of AppYourself to create an Instant Store that can be used in Small and Medium Enterprises (SMEs) Industry in Aceh Province. The Software Development Life Cycle method used is IDI. IDI is a combination of iterative design / iterative method and incremental build model that is used for software development. Testing and measurement based on usability level using the People at the Center of Mobile Application Development (PACMAD) model based on its seven aspects. This research uses Performance Measurement, SUS Questionnaire, NASA-TLX Questionnaire, and RTA Questionnaire in data collection. The data was measured using usability metrics, statistical tests, and calculation formulas from the questionnaire. The results of this study have succeeded in making an application called InstantStore by involving several stages from data collection to testing. The results of the initial test or pre-evaluation and final testing or post-evaluation, it can be concluded that after an evaluation by designing a prototype of improvement recommendations using the rules of The 4 Golden Rules Of User Interface Design, there is a significant increase, based on the results of statistical tests on testing Pre-evaluation shows that there are significant differences between respondents in South Aceh Regency and Banda Aceh City on aspects of efficiency, memorability, satisfaction, and cognitive load. In addition to the aspects of effectiveness, learnability, and errors there is no significant difference between respondents. While the results obtained from statistical tests in the final test (post-evaluation) there are no differences between respondents to the seven aspects of the usability of the PACMAD model.
Scratch Quiz Game Development using AppsGeyser

The aim of the research is to develop a Scratch Quiz Game using AppsGeyser. The method used in this research is Design and Creation, which is a research method that describes and creates a new product. The steps in this method are Awareness, Suggestion, Development, Evaluation and Conclusion. It is known that the research results have succeeded in designing a Scratch Quiz game using AppsGeyser. The stages carried out from the initial stages of research, development by applying the GDLC (Game Development Life Cycle) development method starting from the initiation, pre-production, production, testing, beta, and release stages until testing has been carried out. The test results show that 57% can understand the meaning of the game being tested without the need for direction by the game maker, 82% agree that the display is attractive, 64% of every game question has the correct answer, 71% of students agree that the application can replace class exams conventional, but on the question of whether students can make applications similar to AppsGeyser, they answered % stating that students still do not understand in making similar game applications.
Billing Barber Shop (An Implementation of GoodBarber App Builder)

The research objective is to develop a Billing Barbershop application by implementing GoodBarber App Builder in application development. The research method used in this study consists of 5 parts, namely the literature study method, data collection method, analysis method, design method, and the development method used is extreme programming. From the research results, a Billing Barber Shop application has been developed by implementing the GoodBarber App Builder which is designed to consist of login, home, billing, orders, product, and users forms. The test results are known in Usability testing, Compatibility testing, Interface testing, Low level resource, Performance testing, Operational testing, Installation testing, and Security testing stating very good with an average percentage above 80%. But in Service testing, choosing poor because Billing Barber Shop still uses the internet as a connection to data using Zapier Add-ons and Google Sheets.