Reviewerly/exHarmony huggingface dataset:
Penerapan Sistem Informasi Akuntansi Untuk Persediaan Barang Dagang

Accounting information systems for every company of course have a purpose. Basically the accounting information system is to facilitate the process of existing activities within the company through the provision of appropriate and timely information, as well as creating internal controls to secure the company's assets.&#x0D; The purpose of this study was to determine the application of accounting information systems for merchandise inventory at PT. Padma Sari Pangan by carrying out the activities of receiving goods, purchasing goods, and selling goods that are resold without changing the shape of the goods with inventory activities at retail as an intermediary for distribution channels. Internal control is also needed in the application of accounting information systems at PT. Padma Sari Pangan so that there is no loss or theft of stock items.&#x0D; The results showed that PT. Padma Sari Pangan has an adequate inventory accounting information system so that it plays a role in receiving, buying, and selling goods for distribution activities and internal control of merchandise inventory. Therefore it can be concluded that the application of accounting information systems at PT. Padma Sari Pangan has been accurate in carrying out merchandise distribution activities.&#x0D; &#x0D; keywords : Inventory Accounting Information System, Internal Control
FROM THE HISTORY OF THE DEVELOPMENT OF COMPUTER TESTS

The article deals with the formation and development of computer tests in the education system. Based on the analysis of the content of works by foreign authors, the primary experience of using teaching devices and machines in the educational process is traced. The contribution of the pioneers in this direction, S. Pressi and G. Paska, is noted. Particular attention is paid to the ideas of the 60s and 70s on the use of electronic computers for teaching and control, on the use of machines in pedagogical testing. The analysis of the form of computer testing is carried out. The work on determining the advantages and disadvantages of computer tests is generalized.
Pengembangan Buku Pengajaran Mikro Berbasis Life Based Learning Untuk Meningkatkan Kapabilitas Mahasiswa Pada Matakuliah Kemampuan Dasar Mengajar

This study aims to develop a Life Based Learning-based Micro Teaching book, namely the application of basic teaching skills using a scientific approach so that later they are able to increase the capability of Accounting Education students in applying basic teaching skills to real learning in schools in accordance with the demands of curriculum development. education. This research is research and development. The development model used in this research is the IDI (Instructional Development Institute) development model which includes 3 stages, namely define, develop and evaluate. Based on the results of the study, it was shown that the results of developing micro-teaching books based on life-based learning with a scientific approach were declared valid and feasible. used as a learning medium and as a media to support learning in microteaching courses. the textbook was approved to be used as a learning medium in microteaching courses. On average, students find it helpful to understand the scientific approach with the renewal of teaching materials for microteaching courses, this of course can increase their capabilities (as prospective teachers), in facing the challenges of curriculum changes. The development of Life Based Learning-based Micro Teaching books is a must for lecturers, because it can increase student capabilities, especially accounting education study programs which incidentally are teacher candidates in developing basic teaching skills in accordance with the demands of the current development of primary and secondary education curriculum.
Pi Camera Distance Effect on Face Recognition

Face recognition is biometric technology has been awesome and popular in this century. Not only as an identification of a, it can can be used as a medium to secure the privacy data of companies and related agencies, even for someone's personal room. Various types have developed more precisely, either directly using laptops or embedded systems. Raspberry Pi is embedded medium with Picamera is able to detect the presence of a person in a determined area. The algorithm used is haarcascade with a combination of histogram of oriented gradient as database encoding. The database containing the vector of each sample from the respondent will be compared with real time picamera capture. As a result, faces can be recognized as objects and according to the owner's name. The placement of objects varies from 0.5 meters to 3 meters. Light intensity also given effect on detection process. The highest level of compatibility occurs during the day with lux of such a size.
Cropping Algorithm Based on Crop Image Sequence

Image stitching technology involves computer graphics, pattern recognition, image processing, and other aspects.It is an interdisciplinary topic and has always been a research hotspot in image processing and computer vision.It is widely used in video understanding and analysis, target detection and tracking, image processing and analysis.Therefore, the research on image stitching technology is very meaningful.This paper mainly studies the stitching algorithm based on crop image sequences.In this paper, according to the transformation matrix calculated by the original SURF algorithm, the rotation angle of the image is 66.89°, and the rotation angle obtained by the algorithm is 65.69 °.The difference between the two is about 1°, and the error is only 1.8%.Accurate results are also relatively high in accuracy.It can also be seen from the comparison of the overall transformation matrix that the two algorithms are very close in the obtained matrix results.In addition to the relatively accurate rotation angle, the error of the translation amount is also about one pixel, achieving high accuracy.Sex.It can also be seen from this experiment that the algorithm in this paper still maintains good results when the rotation angle reaches more than sixty degrees.Experimental results show that the algorithm in this paper can significantly improve the visual effect of the fused image and obtain ideal image output.
Science, evidence and police accountability in the age of big data

This chapter explores the impact that the increasing use of data and science have on policing in terms of the organisation and delivery of police responses to crime and crime prevention. The use of scientific evidence to develop improved policing services offers many advantages, especially in a period where demands on the public police are transformed by technological change, and resources available to meet new challenges have reduced in absolute terms. The use of science to promote EBP and the related but distinct development of ‘big data policing’ generally have not been thought of as means to control police discretion. Nonetheless, it is argued here that both provide powerful opportunities to reorient behaviour and practice, and their growing significance in contemporary policing means that is of vital importance to consider the implications that they have in terms of democratic accountability and public oversight. Both EBP and big data policing represent futures of policing that are difficult, although not necessarily impossible, to reconcile with established systems of ‘hard’ accountability outlined in the previous chapters of this book. Unlike other recent shifts in police styles and practices – such as ‘hot spots’, ‘intelligence-led’ or ‘problem-oriented’ policing – EBP is best understood not as a model of delivery but as a strategy for improving effectiveness and efficiency. Drawing on the wider approaches to evidence-based policy within public administration, EBP offers the potential to transform established tradition, custom and practice in police work through the application of scientific research and evaluation. As is widely noted, police work has tended to be responsive in the sense that it is reactive to incidents once they have occurred, and organised around traditional models of patrol that are, to some extent, predicated on public demand for visible policing.
Introduction

In this chapter, we outline the differences between text production and text analysis, we introduce the main text-production tasks this book is concerned with (i.e., text production from data, from text, and from meaning representations) and we summarise the content of each chapter. We also indicate what is not covered and introduce some notational conventions.
Evolution idea of individualization education as a historical prerequisite of personalized learning

The article analyzes the process of evolution of idea of individualization education as a historical prerequisite for personalized learning, identifies and characterizes the phases of evolution of ideas of individualization education, make a conclusion about the relationship between the concepts of «individualization education» and «personalized learning».
Conclusion

The cost of fixing software design flaws after the completing of a software product is so high that it is vital to come up with ways to detect software design flaws in the early stages of software development before system coding starts. This is the motivation of this book as oftentimes software requirements are ambiguous, hence they contradict each other. This ambiguity is exacerbated by the fact that software requirements are typically written in natural language, which is not tied to any formal semantics. This book uses a palliative idea to deal with the ambiguity of software requirements: it restricts the syntax of software requirements to User Stories, textual templates with placeholders. However, as informal requirements (User Stories) do not enjoy any particular semantics, no essential properties about them (or about the system they attempt to describe) can be proven easily. Therefore, requirements are ported into EVENT B where we undertake mathematical proofs in Rodin to check their soundness.
SISTEM INFORMASI PENJUALAN PAKAIAN BERBASIS WEB PADA TARGET FACTORY OUTLET

Website “Sistem Informasi Penjualan Pakaian Berbasis Web Pada Target Factory Outlet” aimed at helping Target Factory Outlet to expand market share and increase the credibility of Target Factory Outlet itself. The results obtained are websites with the domain name ‘targetfo.store’ which have been hosted can be accessed by website visitors. The making of the website uses System Development Life Cycle (SDLC) method which is carried out in several phases namely analysis, design, implementation, installation, testing, and maintenance. This website uses several design tools, namely Flowchart, Data Flow Diagram, Entity Relationship Diagram, Context Diagram and Relationship Between Tables. Testing this website uses Black Box Testing and User Acceptance Test(UAT) method. This website is created using HTML and PHP programming languages and uses MySQL as a Database Management Software (DBMS). The website ‘targetfo.store’ has the advantage of having goods import reports, sales reports and financial reports that can be seen by Target Factory Outlet owner.
Linked Data Visualization Tools

The previous chapter introduces the basic notions of data visualization. Further, it presents several state-of-the-art visualization methods and tools, which have been recently proposed from the Data Management and Information Visualization communities, for handling big datasets. This chapter focuses on LD, presenting tools, features, techniques, and tasks that have been developed for LD visualization. It classifies the works, into categories and subcategories, based on several criteria, such as data and visualization types, functionality, and working scenarios.
A Robotic Trajectory Planning Technique for Smooth Maneuvering of Autonomous Waste-Management Equipment

Waste handling and transportation are of prime concern for all developed and developing countries across the globe. Waste management includes collection, segregation, transportation, and processing of wastes. These processes are primarily human-operated tasks, which pose a serious threat to the health and safety of workers. However, with the advancement of automation technology, waste-management equipment is being automated for unmanned or remote operations to eliminate direct human exposure. One of the challenges of autonomous systems is to plan and guide the equipment from the initial to the target location. A robust trajectory planning technique has been presented in this chapter, which can be applied to any autonomous waste-management equipment in conjunction with the state-space model of that system. This model utilizes an nth-order Bezier curve–based trajectory modeling that eliminates the limitations of trajectory planning for geometrically complex paths. A unique sinusoidal blending has been suggested to model the temporal behavior to ensure smooth motion transitions. Further, minimizing the jerk improves the overall motion of the system and reduces dynamic stress in the equipment. The proposed trajectory planner will allow autonomous waste-management equipment to operate smoothly in harsh environments, perform complex maneuvering tasks, and substantially improve the equipment lifespan.
The effect of the teacher’s perceptions of the principal’s leadership and teacher efficacy on the happiness of child- care teachers

Objectives The purposes of this study were to research on the relationships between the principal’s leadership perceived by teachers, teacher efficacy, and the teachers’ happiness; and how the principal’s emotional leadership and teacher efficacy affect the teachers’ happiness at their child care centers. Methods From October 25th to November 3rd, 2021, we conducted an on-offline questionnaire survey of childcare teachers working at child care centers all over the country. Based on previous research, the principal’s emotional leadership and teacher’s efficacy and happiness scales were used as evaluation standards. Thereafter 285 of the 300 collected data were tested by frequency-analysis, technical statistics, reliability test, t-verification, One-Way ANOVA analysis, correlation analysis and hierarchical regression analysis using SPSS 22.0 program. Results First, There were significant differences in teacher’s happiness according to the sociodemographic factors of age and marital status and no differences in career and academic background. Second, There were positive correlations among emotional leadership of the principal, teacher efficacy, and the happiness of the teacher. Third, it was found that both the principal’s emotional leadership and teacher efficacy perceived by the childcare teacher have a significant positive effect on the childcare teacher’s happiness. Conclusions This study has shown how the principal’s emotional leadership perceived by teachers, and teacher’s efficacy could affect the teacher’s happiness. Therefore, because happy teacher improve the quality of the school, this study will provide essential data to build an excellent child care system.&#x0D;
Interactive Oral English Chinese Machine Translation based on Feature Extraction Algorithm in accordance with the biotechnological advancement

The existing translation methods have the problem of imperfect prediction model, which leads to high KSMR value. This paper designs an interactive English Chinese oral machine translation method based on feature extraction algorithm using the management techniques of biotechnology field. The mathematical features of language are extracted, the trestle search method is used for pruning, the human-computer interaction interface is set up, the list of word candidate translation items is loaded, the interactive English Chinese oral machine translation prediction model is constructed, the linear interpolation is used for approximate solution, the feature extraction algorithm is used to design decoding strategy, and the discrimination of feature items for text topics is measured. Experimental results: compared with the other two translation methods, the mean value of KSMR of the designed translation method is 38.87%, 48.18% and 48.51%, which proves that the translation method integrating feature extraction algorithm has higher practical application value.
English Teaching Ability Evaluation Algorithm based on management, leadership and entrepreneurship including education, Data Fusion and Notch Filtering

All universities and colleges has been offering English as one of the important courses. The effectiveness of English teaching is inextricably related to the quality of talent acquisition and student growth. The term evaluation of teaching quality describes the type of content knowledge in which the focus is to analyze quality teaching. One of the significant aims of every school and university is to improve the English teaching quality and promote the development of English teaching and entrepreneurship. As the existing evaluation algorithms have been facing various problems of fuzzy core dimension characteristics, which result in poor data integrity. Therefore, we proposed an English teaching ability evaluation algorithm based on data fusion, entrepreneurship, and notch filtering. Moreover, for the purpose, to achieve the goal of education entrepreneurship and quality teaching, strengthen of the English teaching quality algorithm is necessary, as well as the leadership and management qualities of the teachers also have a lot of impact on the performance of teaching quality and students working performance and it is a topic worthy of in-depth and significant investigation. We select the explicit indicators that are easy to measure, establish the hierarchical structure system of evaluation indicators, construct the evaluation model by data fusion and notch filtering, obtain multi-source heterogeneous data, extract the core dimension characteristics of English teaching ability, make rational use of teaching resources, convert variables into standard units, and set up the evaluation mechanism by using random walk algorithm. Experimental results: the average data integrity of the designed English teaching ability evaluation algorithm is 4.33, and the average data integrity of the other two evaluation algorithms is 1.921 and 1.885, which proves that the English teaching ability evaluation algorithm integrating data fusion and notch filtering technology has a broader application prospect.
Teaching Reform of the Undergraduate Spectroscopy Analysis Course

Spectroscopy analysis is an interdisciplinary course that includes abstract concepts/theory as well as concrete spectra identification training.We discuss course reform, including teaching contents and teaching methods, emphasizing the specification and figuration of abstract theories and enhancing classroom interactions.This reform will be attractive to the students and enhance student learning outcomes.Practicing spectra collection and identification can improve students' learning interest and internal motivations for studying spectroscopy analysis.
Development of the Future Law Enforcement Officer Digital Competence as a Modern Pedagogical Phenomenon

The paper reveals the problems of meaningful development of future law enforcement officer digital competence. A number of similar and sometimes identical concepts are analysed, their relationship with each other is determined, and significant differences are identified. These concepts include information (digital) culture, information (digital) literacy, and a number of others. Based on a comparative analysis, the content components of future law enforcement officer digital competence are identified, and the author's interpretation of the concept of digital competence is proposed and justified. The paper notes that digital competence is a logical continuation of the «evolutionary» chain of concepts associated with informatization processes. The author's concept of future law enforcement officer digital competence has been formulated in the paper. It is an integrative characteristic of the law enforcement officer's personality as a professional which dynamically combines the knowledge, abilities, skills and relationships to use the capabilities of digital resources and digital tools as well as reflects the willingness, competence and responsibility to apply digital technologies to solve professional problems.
Application of Online Blended Teaching Mode in Organic Analysis Course

Online blended teaching mode is an emerging education method, the effect of which is explored on the multi-class teaching course of "Organic Analysis".The teaching effects were evaluated by the process assessment results supplemented by classroom participation and the final.The different teaching method data of experimental and control group were all collected in the same way.Research shows that the effect of online blended teaching is slightly better than that of the offline blended teaching effect.Through questionnaires, it was found that online teaching can enable students to obtain higher classroom participation and better classroom experience.Therefore, the emerging education methods is suitable for remote teaching.The application of new education methods may make a difference for the western agriculture college education.
Use and Interpretation of Item Response Theory Applied to Machine Learning

Machine Learning (ML) has been gaining prominence in health, research and engineering, but despite the wide use of its predictive results, users of ML systems often have a poor understanding of its operation. In general, many algorithms have a so-called “black box” structure, whose logic is not interpretable. Therefore, there is a line of research dedicated to clarifying how models make their decisions. In this context, Item Response Theory (IRT), widely applied in educational tests, can be an alternative for understanding and interpreting ML models. IRT consists in logistic models that relate given responses given to the items with skills of their respondents and to the item’s parameters, such as: difficulty, discrimination and guessing. In this work, we are interested in characterizing the ML instances according to the IRT parameters, and establishing criteria for instance augmentation, as a way to make them easier for the model, without modifying its performance. To this end, we divided the study into two experiments: the first one consists in increasing the items of greater difficulty, discrimination and guessing, adding noise to them; and the second one consists of reducing a class and increasing it progressively observing the change in the item’s parameters. The results show that the increase in fact causes a reduction in the values of the IRT parameters, and that there is a proportional relationship between them, without affecting the accuracy of the models. In this sense, it is possible to observe a relationship between the IRT parameters and its decision power in the model, and therefore, unfolding it as a promising tool for understanding ML models.