Reviewerly/exHarmony huggingface dataset:
Image matching via progressive priors

It is a challenging issue how to improve the accuracy of image matching in computer vision. To address this issue, an image matching method is proposed, which is via progressive priors of a putative dataset. Distance ratio priors of a putative dataset are initially employed to calculate a tentative deformation through geometric constraints. Progressive priors of the putative dataset, obtained by the tentative deformation, are then engaged to improve the accuracy of image matching by estimating a global deformation. The comparison experiments illustrate that our proposed method more effectively enhances the accuracy of image matching than six state-of-the-art methods.
Indonesian Language Hoax News Classification Basedn on Naïve Bayes

Hoax news in Indonesia causes various problems, therefore it is necessary to classify whether a news is in the hoax category or is valid. Naive Bayes is an algorithm that can perform classification but has a weakness, namely the selection of attributes that can affect accuracy so that it needs to be optimized by giving weights to attributes using the TF-IDF method. Classification using Naive Bayes and using TF-IDF as attribute weighting on a dataset of 600 data resulted in 82% accuracy, 84% precision, and 89% recall. The suggestion put forward is that it is better to use a larger number of datasets in order to produce higher accuracy.
Grammatical Error Analysis in Translating Conditional Sentences from Indonesia into English

Conditional sentences is complex sentences (compound sentences) formed from a subordinate clause that starts with subordinate conjunction if it is in the conditional form (condition) and the main clause is the result. Studies on grammatical errors from student writing have been carried out by many previous researchers; however, research on conditional sentence translation errors is still very rarely conducted. This study aims to find out where students' mistakes in understanding the form of conditional sentence translation from Indonesian to English still often occur and to find the dominant type grammatical error. To achieve these objectives, this study used a qualitative descriptive research method with a research design. Data collection using text containing 30 sentence error types 1, 2, and 3 was conducted online through Google form of multiple-choice, short answers, and long answers. The subjects of this study were 20 7th semester students at the prima Indonesia university. The results found that final result of this study proved that the most common types of errors found in misformation were 241 or 32%, omission 228 or 30,2%, misordering 148 or 19,6%, and addition of 137 zor 18,1%. The results of the study concluded that the dominant errors found are misformation errors, which were the most frequent mistakes made by students. Recommended for students to study and improve their grammar and conditional sentences skills according to predetermined rules.
PEDAGOGICAL PROBLEMS OF JOINT ACTIVITY SCHOOLS AND EXTRACURRICULAR INSTITUTIONS CHILD PERSONALITY DEVELOPMENT

The system of joint educational activity of the school and extra school establishments have characterized in this work. The main direction given off and the most significant tendencies of process development are discovered. The potential possibilities and conditions of individual psychophysical realization and social needs of person are revealed.
Polytechnic Management Information System For Academic Service Quality Improvement (Analytical Descriptive at the Study Program Level at the Bandung State Polytechnic)

The Management Information System (MIS) in Higher Vocational Education such as Polytechnics functions to coordinate and monitor the planning, implementation, and evaluation of education activities, especially at the study program level. The current MIS serves BAAK’s data and information needs, reporting for internal management and providing PD-DIKTI Database. MIS has not fully served the needs of internal customers. The aim of this research is to describe in depth the process of planning and evaluating MIS at the study program level. This research is limited to MIS academic services and support preparation for study program’s accreditation of BAN-PT. The theoretical study is supported by theological foundation of Al Qur’an and Hadits, the philosophical constructivism and the theory of Total Quality of Management (TQM). This research uses a qualitative descriptive approach, explore deeply into the data and information needs for students, lecturers, study program, and BAAK. The informant involved internal Polban namely BAAK’s person, head of department and study program, lecturers and students, reviewing statute documents, strategic plans, academic regulation, laws and government’s regulations related to polytechnic’s management. This research reveals that the current MIS program is not based on customer’s needs yet by paying attention to business processes in planning, implementing, and evaluating teaching and learning process. MIS in implemented stage solely for BAAK needs, does not yet serve data needs for study programs, lecturers and students, including not yet supports the preparations of program study’s accreditation by BAN-PT. Customers are still difficult to get the information needed. The results of the evaluation show that there is a gap between data and information due to several inhibiting factors and a management system that is not yet based on complete data. The novelty of this research is MIS which is integrated with the current management system. MIS is designed comprehensively, not partially on project based. The conclusion is that the MIS program must be designed in the form of grand design that maps all data and information needs for internal and external customers which is customers oriented. MIS implantation will be successful if it is supported by socialization for customers, integrating existing MISs including databases and online communication networks, adequacy of MIS infrastructure include hardware, bandwidth capacity and high speed accessibility of information.
Web Application Development for Syari Online Shop Using 4D Model Development

: Haransaf shop is a shop that sells clothes and all Muslim/Muslim knick-knacks. Depending results of observations and data searches directly to the field with increasing requests. The use of technology in data processing of Haransaf Online Store Transactions has not been effective and efficient so that reporting takes a long time. The recording of the Haransaf store report still uses a manual system, which is still written on notes and then recorded in the sales book. The focus of this research is on an attractive interface, ease of use, and delivery of product information to consumers by utilizing the website as an online service. The research method uses 4-D. The model in the development of an online store must use a 4D model. The 4D model has four stages, namely Define, Design, Develop and Disseminate. The website-based Haransaf Online Store that uses the Codeigniter 4 Framework, functions well to produce a sales management system that manages the Haransaf online store. With the existence of this online store, it is hoped that it can provide an increase in revenue at the Haransaf Store and benefits in the form of a wider scope.
PRINCIPLE OF HUMANIZATION IN THE SYSTEM PEDAGOGICAL PRINCIPLES OF THE ORGANIZATION EDUCATIONAL AND CREATIVE ACTIVITIES OF STUDENTS

What is creativity? The integration of creative work and pedagogical process. The author of the present article tries to find answers to these questions and in this connection pays special attention to the principle of humanization in the system of pedagogical principles of organizing pupils’ studies and creative activities.
Study on the Role of Fashion Elements in English Teaching

The teaching form and teaching content are both important, the teaching form should be constantly innovative, so as to attract students' attention of students, so how to better teaching, so that students participate in classroom teaching and extracurricular activities, this is the topic that the teacher has been talking about, but also the author is thinking about. Fashion is a synonym for freshness and novelty. How to apply fashion elements in teaching is the topic that the author discusses in this article.
HDR Lighting Dilation for Dynamic Range Reduction on Virtual Production Stages

We present a technique to reduce the dynamic range of an HDRI lighting environment map in an efficient, energy-preserving manner by spreading out the light of concentrated light sources. This allows us to display a reasonable approximation of the illumination of an HDRI map in a lighting reproduction system with limited dynamic range such as virtual production LED Stage. The technique identifies regions of the HDRI map above a given pixel threshold, dilates these regions until the average pixel value within each is below the threshold, and finally replaces each dilated region's pixels with the region's average pixel value. The new HDRI map contains the same energy as the original, spreads the light as little as possible, and avoids chromatic fringing.
[RETRACTED] Oprah Winfrey ACV Gummies Reviews - Does It Scam Or Real? v1

[RETRACTED] Oprah Winfrey ACV Gummies Reviews - Does It Scam Or Real?
Methodological problems in the development of philosophy in the digital age

The work is dedicated to understanding methodological problems of philosophy development in modern socio-economic conditions considering the factor of digital philosophy and homo digital formation. At each stage of human and social development, the set of methodological concepts of the cognition philosophy has been modified in the view of the environment, created by the predecessors, and the influence on its content not only of philosophy but also of the social culture. Only a general concept of the cognition philosophy in synthesis with the integral parts of traditional gnoseological theory and modern epistemological developments can develop a methodological basis for a societys effective exploitation of the digital age achievements.
The Hamilton compression of highly symmetric graphs

We say that a Hamilton cycle $C=(x_1,\ldots,x_n)$ in a graph $G$ is $k$-symmetric, if the mapping $x_i\mapsto x_{i+n/k}$ for all $i=1,\ldots,n$, where indices are considered modulo $n$, is an automorphism of $G$. In other words, if we lay out the vertices $x_1,\ldots,x_n$ equidistantly on a circle and draw the edges of $G$ as straight lines, then the drawing of $G$ has $k$-fold rotational symmetry, i.e., all information about the graph is compressed into a $360^\circ/k$ wedge of the drawing. The maximum $k$ for which there exists a $k$-symmetric Hamilton cycle in $G$ is referred to as the Hamilton compression of $G$. We investigate the Hamilton compression of four different families of vertex-transitive graphs, namely hypercubes, Johnson graphs, permutahedra and Cayley graphs of abelian groups. In several cases we determine their Hamilton compression exactly, and in other cases we provide close lower and upper bounds. The constructed cycles have a much higher compression than several classical Gray codes known from the literature. Our constructions also yield Gray codes for bitstrings, combinations and permutations that have few tracks and/or that are balanced.
Task and Feedback-Based on English learning to Enhance Student Character

Task-based English learning is also an essential consideration for strengthening students' character. Nevertheless, not many teachers make the task essential to the learning process. The tasks consider the situation of the condition and the student's psychological state. Tasks are in the form of homework as individuals or groups. This study aims to identify an overview of students' perception of the task model given by teachers in English classes and their feedback. The research was conducted at elementary schools in West Java and Bangka Belitung provinces, obtained from 116 students' elementary schools, purposive sampling—data retrieval technique using a questionnaire. Data analysis uses descriptive statistics with stages of collecting, compiling, processing, presenting, and analyzing numerical data to provide a regular, concise, and clear picture of a symptom or event. The results showed that students' perceptions varied with the tasks given. It shows a tendency to one type of task, and almost all students considered that the teacher did not always give feedback on the task given. These tasks can take the form of group tasks and individual tasks. It was concluded that each individual showed different response patterns in exploring foreign languages.
Iatrogenias na prestação de cuidados de enfermagem: A perspetiva dos enfermeiros da área médico-cirúrgica

Background: Healthcare delivered to users must be based on the premises of quality and safety.Failure to comply leads to adverse events understood as illness or harm.Objective: To identify nurses' perspectives on iatrogenic events in medical-surgical nursing care.Methodology: Qualitative study, using semi-structured interviews with a focus group of nurses.Results: Nurses associate iatrogenic events in nursing with patient harm resulting from nursing activities carried out under their responsibility.The most common nursing iatrogenic events reported were falls and fractures, drug therapy-related adverse effects, and inappropriate use of medical devices.Poor working conditions were pointed out as a potentiating factor.The following strategies were listed to minimize iatrogenic events: continuing education, good communication and leadership, implementation and protocols adherence.Conclusion: According to the sample's perspective, iatrogenic events are a reality whose potentiating factors are in line with those described in the literature.Continuing education in this area is recognized as essential for prevention.
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics

How can we develop visual analytics (VA) tools that can be easily adopted? Visualization researchers have developed a large number of web-based VA tools to help data scientists in a wide range of tasks. However, adopting these standalone systems can be challenging, as they require data scientists to create new workflows to streamline the VA processes. Recent surveys suggest computational notebooks have been dominating data scientists' analytical workflows, as these notebooks seamlessly combine text, code, and visualization, allowing users to rapidly iterate code experiments. To help visualization researchers develop VA tools that can be easily integrated into existing data science workflows, we present NOVA, a simple and flexible method to adapt web-based VA systems for notebooks. We provide detailed examples of using this method with diverse web development technologies and different types of computational notebooks. Deployed application examples highlight that NOVA is easy to adopt, and data scientists appreciate in-notebook VA. NOVA is available at https://github.com/poloclub/nova.
Impact of HRM practices on employee engagement and employee performance with special reference to academicians and work professionals

The purpose of this study is to explore the employee performance factors which are highly influenced by HRM practices through different dimensions. Moreover, this study proposes a model in the area of human resource practices to be used for testing and improving the performance of employees in the universities. An integrated model was developed highlighting the relationship between the HRM practice variables (Training, R&amp;D, and Performance Appraisal) and employee performance. 281 responses have been collected from various academicians and work professional working in universities. Partial least square (PLS) – Structural equation modeling (SEM) is implemented using Smart PLS 3.0 to validate the hypothesized relationship by evaluating the responses of employees working in the universities. The findings of this study demonstrate a strong relationship between HRM practices and employee performance in the universities and also can be used by managers and HR professionals for organizing exclusive relevant programs for improving employee's performance based on the dimensions used in this paper. The present study provides an empirical and theoretical explanation of different dimensions associated with HRM Practices and employee performance.
The Council of Editors of Translation and Interpreting Studies for Open Science is born!

The Council of Editors of Translation and Interpreting Studies for Open Science is born!
The Relationship between Indonesian Language Learning and the Environment

The environment is an influential component in the implementation of teaching and learning activities. The environment can also support the course of teaching and learning activities in schools. Schools with a clean environment will make students learn comfortably and vice versa. However, our level of awareness of the importance of the environment is still very minimal. Teachers as educators play an important role in teaching environmental education and raise awareness of students about the environment.
A unified framework for dataset shift diagnostics

Supervised learning techniques typically assume training data originates from the target population. Yet, in reality, dataset shift frequently arises, which, if not adequately taken into account, may decrease the performance of their predictors. In this work, we propose a novel and flexible framework called DetectShift that quantifies and tests for multiple dataset shifts, encompassing shifts in the distributions of $(X, Y)$, $X$, $Y$, $X|Y$, and $Y|X$. DetectShift equips practitioners with insights into data shifts, facilitating the adaptation or retraining of predictors using both source and target data. This proves extremely valuable when labeled samples in the target domain are limited. The framework utilizes test statistics with the same nature to quantify the magnitude of the various shifts, making results more interpretable. It is versatile, suitable for regression and classification tasks, and accommodates diverse data forms - tabular, text, or image. Experimental results demonstrate the effectiveness of DetectShift in detecting dataset shifts even in higher dimensions.
Crime index based on text mining on social media using multi classifier neural-net algorithm

Everyday criminal issues appear on social media, even some crime news is often disturbing to the public but it gives a warning to the public to remain careful and alert to the surrounding environment. However, following large amounts of crime information on social media is not effective, especially for busy people. Therefore, there is a need to efficiently and effectively summarize information in a way that is meaningful and easy to see, attracts people’s attention, and can be used by law enforcement officials. The purpose of this study is to present the index crime based on social media by looking for patterns of crime. This study proposes the projected index crime based on crime trends by using text mining to classify tweet texts and post contents into 10 crime classes. The classification method uses the neural-net multi classifier algorithm which has several classifiers namely logistic regression, naïve bayes, support vector machine (SVM), and decision tree in parallel. In this approach, the classifier that provides the best accuracy will be the winning classifier and will be used in the next learning process. In this experiment, in using the multi classifier neural-net, the logistics regression classifier often provides the best accuracy.
Coronary Heart Disease Risk Prediction Using Binary Logistic Regression Based on Principal Component Analysis

Based on data from the World Health Organization (WHO), one type of heart disease namely coronary heart disease is the deadliest disease in the world. In 2016 at least 9,4 million people died caused by coronary heart disease. In Indonesia, deaths caused by heart disease, blood vessel (CVD), and respiratory disorders are the fourth highest in ASEAN (23,1%). Because of the danger of coronary heart disease, we need a system or model that can predict heart disease early, so that it can be treated early and can reduce the death rate caused by heart disease. This study uses principal component analysis (PCA) to make a linear combination of variables that have a high correlation so that the assumption of multicollinearity in the data can be resolved. For the prediction, this study uses binary logistic regression to predict heart disease based on existing factors. The result of the PCA there is 7 component variables with a total variance that can be explained as much as 72,9%. From the Bartlett test of the PCA data, the obtained p-value is 1 which means that there is no multicollinearity in the data. Predictive analysis using binary logistic regression based on PCA’s data was proven to increase the accuracy to 85%.
Supplemental Material for The recognition of emotions conveyed by emoticons and emojis: A systematic literature review.

The growing interest for emoticons and emojis has recently led to research examining their use and impact on various behaviors.As emoticons and emojis may lead to misinterpretations and misunderstandings between senders and recipients in online communication, it is necessary to examine whether emotions conveyed by these symbols are well recognized by individuals.In this perspective, a systematic review from 2001 to 2021 using the Preferred Reporting of Items for Systematic reviews and Meta-Analyses (PRISMA) method was conducted to determine which emoticons and emojis can help individuals to recognize emotions, and how the recognition of emotions based on emoticons and emojis is studied.A total of 501 articles were screened from three major databases in psychology, and 23 articles met the predefined inclusion criteria.The results suggest that the recognition of emotions should be examined before using emoticons in larger studies.They also revealed that the recognition varied according to the methods used to assess the valence of emoticons or to attribute a specific emotion to them (self-report, free expression, or categorization).Finally, a summary Table of the emotions conveyed by emoticons and emojis is proposed in this review.
Analisis Sistem Pakar Berbasis Personality dalam Implementasi Job Matching

Absorption of vocational graduates into the world of work and industry that has not been optimal is the main focus of this research, one of the factors causing the non-optimal absorption of vocational graduates is the integration of the existing career information system with the needs of the world of work, so that the data and information obtained are not valid, practical and effective. This study aims to explain the process of designing an integrated career system that is able to recommend careers and jobs based on personality. The method used in this study is the 4D method, namely Define, Design, Development and Disseminate. The result of this study is a system application that is able to provide job recommendations based on six personality types that are useful in vocational training. The results of the model construct validation test obtained fit where, p = 0.26972 and RMSEA = 0.029, the expert validity test on aspects of Design 0.88 (Valid), Operational 0.88 (Valid), and Benefits 0.90 (Very Valid), the results practicality test 0.83 (Practical).