Reviewerly/exHarmony huggingface dataset:
Students’ Needs Analysis in Learning General English

It is a fact that general English material is mostly dominated by materials such as daily conversation, tenses or grammar, vocabulary, and some of language expressions, like asking permission, apologizing, asking direction, and giving suggestion.Nevertheless, some questions may arise regarding the needs for general English especially for non-English department students, like students in German department.The study aims at investigating German department students in a public university in Indonesia on their needs in learning General English.In this qualitative study, 17 student participants were asked to complete a semi-open questionnaire written in Indonesian.The students had completed with their English subject in the German language education study program.The findings highlighted learners' necessities, problems they faced, and their wants and needs in learning English.It is suggested that an appropriate textbook that fits their needs can be developed a learning material source in their English class.It is expected that curriculum developers will not only focus on producing good curricula, but also paying attention to the students' needs after they graduate.
The Survival of Physical Bookstore Under Digital Transformation

Physical bookstores are gradually shifting from traditional book retailing to a cultural space that fulfills intellectual, emotional, and aesthetic requirements.However, there is increasing concern over how physical bookstores can transform and upgrade themselves with the assistance of technologies to match the current need of readers.This article uses textual analysis to identify the current situation of entity bookstores' management.The theoretical framework includes symbolic value, Goffman's frontstage and backstage theory, and Joshua Meyrowitz's medium theory.This study has examined the survival of the physical bookstores through different aspects.Online bookshops can provide good quality goods at low prices while offline bookstores can offer a wide range of cultural entertainment in which readers can engage.However, physical bookstores still face a series of problems, including interior design, readers' multiple requirements, and no subsidies.The insights gained from this study may be of practical significance for the transformation of physical bookstores.
Criminal Risks and Regulations in Internet Business Data Link

Internet Business Data Link refers to the whole process from the collection to the application of the Internet business data by enterprises.It can be divided into four stages, which include data collection stage, data application stage, data storage stage, and data association stage with the third parties.The main research object of this paper is the criminal risks existing in each stage.It may not only constitute the crime of infringing citizens' personal information and other criminal network crimes in criminal law, but also may constitute the accessory crime of related traditional crimes.It is urgent to regulate them through the regulations of criminal law.In addition, it can be regulated from three perspectives, which are the behaviour subject, the behaviour mode and the behaviour consequence.What's more, the specific approaches include interpreting existing legal provisions reasonably, setting new accusations and so on.
Characteristics and techniques of criminal investigation of computer financial crime

Cyber crime is a serious crime that causes not only financial consequences, but also distrust in the business operations of legal entities and distrust of clients towards financial institutions -banks.Forensic research is a procedure of applying tactics of obtaining information, their analysis, assessment of the application of legal measures and technical methods and means in order to clarify and provide evidence, to initiate a procedure.The legislator envisages legal measures and actions, but their application is conditioned by the professional and professional approach of the criminal officers who build and apply appropriate tactics and techniques based on scientific knowledge, but also practical experience.This is the subject of study in this paper in order to obtain indicators on the basis of which strategies will be built for protection of cyber financial data, as well as strengthening the detective function of the police as a competent body for combating this crime.
Sign Language Translator and Teaching System

Abstract: Sign Language is a non-verbal form of communication that is used to interact with the specially abled. These people have communication barriers when it comes to daily interactions with others who don’t understand sign language. Technological advancements and progress in Machine Learning algorithms have made gesture recognition possible. Sign language is one of the oldest and most natural forms of language for communication, but since most people do not know sign language and interpreters are very difficult to come by, we have come up with a real-time method using neural networks for fingerspelling based on American sign language. In our method, the hand is first passed through a filter and after the filter is applied, the hand is passed through a CNN module which predicts the class of the hand gestures. This literature survey analyses studies based on sign language translator and teaching applications. Conclusions drawn from this literature review could help in creating the perfect application that can make daily communication easy for the specially aided. We plan on providing two modules, one wherein the sign language gestures are converted into text and displayed. The second module is made wherein the text entered is converted into sign language and displayed on the User interface.
A linear approach of chain composition

This corpus-based approach to coreference chains analyzes recurrences in the patterns of chains, providing new insights into conventions or preferences in the forms of referential expressions. By taking into account the linearity of discourse and the succession of mentions, it goes beyond the more commonly implemented analysis of global characteristics. We analyze 581 reference chains from the French corpus AnnoDis. Using clustering methods, we first show that the resulting clusters are linguistically interpretable. We then demonstrate that animacy and genre influence chain composition. Finally we identify the main patterns of coreference chains in the corpus. This highlights different types of chains and discourse strategies, which vary across genres, and confirms a major influence of referent type.
Peran Orang Tua dalam Meningkatkan Motivasi Belajar Peserta Didik di Tingkat Sekolah Dasar

This research is based on the learning outcomes of students who are not motivated to learn by his master. This is because some parents think that the task of Motivating learning is only done by the teacher, when in fact the role of Parents are also very important. Students who do not get the motivation to learn from their parents tend to be more passive when learning, sometimes their learning outcomes are not achieve the minimum completeness criteria (KKM). With this we do a research to analyze the role of parents in increasing participants' learning motivation educated at the elementary school level. This research uses descriptive qualitative method with data collection through literature study that we have done. Writing purpose this journal so that readers know how important the role of parents in increase students' learning motivation. The results of this study that students those who get motivation to learn from their parents have better learning outcomes than students who do not get motivation to learn from their parents
Agile Software Development Processes Implementing Issues and Challenges with Scrum

This research aimed to explore the critical issues and challenges of implementing the agile process with Scrum. Agile means improving our life. It helps release the product faster, better, and with less memory. The minimum risk involved compared to the traditional It provides the facility to Pakistan software industry to improve the quality of products delivered in time. So, the Scrum process is a future software development method for managing projects instead of what is accomplished. Software Companies need some help with communication and lack of cost. Now domains are needed for growing the Pakistan industry. The agile manifesto defined the 12 principal of agile customer collaborations necessary. Trust is a central element of productive team build in projects team then people are distributed in a different locations. So identified that 65% using agile techniques rapidly growing industry compared to the traditional development acceptability increase in Pakistan software markets due to static and dynamic testing. Scrum framework is used for agile methods to manage the overall project's in-depth studies. The class management projects are fully integrated with the scrum method to determine the traditional challenges. Data were collected through an email survey, software houses teams, observation, and semi-structured face-to-face interviews. In the first round, almost 85% of people through Scrum achieve their business goals. In the second round of collecting, data analysis of the final stage was completed through the statistical tool. It used SPSS to determine the complexity, communication gap between team members, and team experience in agile and traditional models with Scrum methods.
Breast Cancer Diagnosis Using Machine Learning Techniques

Computers can analyze information faster than people but cannot make decisions. Computers of today are acquiring machine learning techniques to enhance analysis and prediction. These techniques enable expert assistance systems and enhance computer decision-making. Machine learning algorithms are assisting medical professionals in making rapid diagnoses thanks to their successful classification and diagnostic capabilities. Machine learning may be effective and is used more frequently in cancer diagnosis. The second most common disease in the world and the main reason for death among women is breast cancer. Like other malignancies, early identification of breast cancer lowers mortality. Machine learning techniques assist in diagnosing breast cancer, which calls for specialized human knowledge. With machine learning, computers can swiftly identify patterns in complex and large data sets. Due to these qualities, machine learning is frequently used to detect breast cancer.
CodeBlockS: Development of Collaborative Knowledge Sharing Application with Blockchain Smart Contract

In this paper, we present the design and development of a collaborative knowledge-sharing platform with Blockchain based smart contracts (CodeBlockS) to help increase the trust and efficiency of how developers find the solution to their problems or try to learn new things.The popularity of Question-and-Answer websites such as StackOverflow, Ask, and Yahoo, as well as online course websites like as Udemy, is gradually expanding.Given this increased popularity, the quality and efficiency of user interaction must be improved such that users can try to connect with each other, ask questions about technical problems they are experiencing, or if they want to learn a topic in exchange for a fee and potentially collaborate on a project, or simply share their thoughts on a topic and improve their knowledge and network at the same time.Because these contracts will contain money, CodeBlockS has employed Ethereum Blockchain-based smart contracts to manage the data and money, as blockchain-based smart contracts are immutable and handle payments very securely.In general, social networking websites there are very few people sharing valuable knowledge and many people sharing worthless, time-consuming content that creates distraction.With the CodeBlockS system, developers find the solution to their problems or try to learn new things, and users can share their thoughts and learning on the platform.The platform also provides inbuilt smart contracts functionality using which two users can create a contract where one user will teach or solve doubt of the other user and receive fees towards service rendered.
Effect of Economic Freedom on the Facilitation of FDI Inflows: Focus on the Direct and Moderating Effect by the Stage of Economic Development

Purpose - This study is to investigate the direct and moderating effect of intangible variable like economic freedom to facilitating factors on FDI(foreign direct investment) inflows and the difference of facilitating factors by the stage of economic development.&#x0D; Design/methodology/approach - Fixed-effect panel regression analysis with 19-year macro economic data from 2000 to 2019 including economic freedom index from Fraser Institute in 13 developed and 15 developing countries was used.&#x0D; Research implications or Originality - In analysis of direct effect of 5 sectors in economic freedom, the influence of economic freedom was shown weaker than other macro economic factors on FDI inflows, which indicates that actual development of economic factors are more important. The effect of economic freedom on FDI inflows at the stage of economic development differed. In developed countries, human capital, GDP, export, free trade and regulation affected FDI inflows in decreasing order, as did human capital, GDP, consumption expenditure, export, investment expenditure, government expenditure, free trade and sound money in developing countries. In analysis of moderating effect of economic freedom, a domestic and international market size, a flexible labor market which can provide a cheaper good human resources and government expenditures for improving social infrastructure under free economic environment facilitated FDI inflows. However, the statistical significance of moderating effect on export was not shown, which indicates that
Managing Information System with the Help of Cloud Computing

Cloud computing involves cloud-based data storage. Why is this necessary? The key benefit is distant data storage, security, and privacy. Cloud data is encrypted. Encryption modifies the original data before delivering it so it can’t be hacked by an unauthorized user or third party. Information can be kept secret by keeping it in multiple locations, so if one is damaged, it can be recovered from another without delay. Encrypting cloud data presents obstacles and benefits. Data encryption methods include data perturbation and cipher text policy. As an automated set of hardware and software, management information system (MIS) in cloud computing has changed the commercial world. Cloud computing is increasing relevance due to its scalability, reliability, and cost savings. Cloud-based information systems reduce organizational overhead. So, cloud computing-based MIS must be able to handle numerous management-related tasks/activities, give proper information to all levels of management, evaluate diverse types of information, and produce automatically generated reports.
Cloud Computing in Artificial Neural Network

Neural network (NN) plays a key part in many industries, but it faces obstacles like maintaining databases and ensuring efficient training with regard to time and cost. NN was launched in 1956, whereas cloud computing was launched in 1993. Cloud computing provides a very smooth environment for solving artificial intelligence’s difficulties with effectively maintaining massive datasets with little cost and effort. Cloud computing offers a great platform for NN developers who confront various issues while training with GPU learning platforms and data processing. Cloud computing is a route for effective data processing and speedy training. Merging cloud computing with artificial neural networks delivers enormous achievements in industries like medical diagnostics, expert systems, online marketing shops, weather forecasting, and many more. When learning using the cloud, build and install rapid learning systems with great scalability and speed. In this, NN with cloud validates all NN models using a variety of cloud models. The outcome is very exact and quick and minimizes mistakes. Improved outcomes are achieved by learning the network using distinct NN models with highly categorized neurons of dissimilar layers.
Application and Data Integration Based on Services Oriented Architecture in Enterprise

Business process changes occurred very often in organizations to maintain business continuity, which had an impact on information changes and process flow improvements. There are numerous companies that have problems managing data, information, and software applications, especially with the constant demands for employee information. This research objective is to integrate data and applications based on service-oriented architecture (SOA) by using the service-oriented modelling architecture (SOMA) software development method to solve the problem of producing updated and real-time information practically required by organization functions. This research result shows this implementation can help analyze the company's business model by generating information needs and service candidates that refer to SOA concepts. This implementation also gives a solid integration of in-house applications with different platforms and data sources from different databases with real time information. From a technical point of view, this implementation also reduces the duplication of business process functions and in-house application management, as well as simplifying and accelerating the creation of new or updating in-house applications related to new information requirements of the company. It was found that the SOMA framework can also be employed as a reference for companies developing future applications with SOA basics. Doi: 10.28991/ESJ-2023-07-02-011 Full Text: PDF
Artificial Bee Colony Optimized MultiHistogram Equalization for Contrast Enhancement and Brightness Preservation of Color Images

This study proposes an optimized Multi-Histogram Equalization (OMHE) technique for contrast enhancement while preserving the brightness of an input image.The objective of this study is to improve the visual interpretability or perception of information among color images.In this technique, input image histogram is partitioned into multiple sub-histograms and then classical histogram equalization process is applied to each one.Values of t threshold points for dividing the image histogram into t+1 sub-histograms are optimized using Artificial Bee Colony, a swarm intelligence-based optimization algorithm.A new fitness function for evaluating the contrast of enhanced image is proposed here that will guide the Artificial Bee Colony algorithm into finding the optimal threshold values.AMBE (Absolute Mean Brightness Error), PSNR (Peak signal to noise ratio), SSIM (Structural Similarity Index) and Entropy are computed for quantitative analysis of the performance of the proposed method with existing methods.Comparisons show that proposed method performs better than other present approaches by enhancing the contrast well while preserving the brightness of the input image.
Publication Trends in Manuscript Research (2011–2020): A Bibliometric Analysis

The purpose of the current study is to characterise and provide a summary of research publications lined with manuscript libraries. Over the course of human history, writing and printing have advanced significantly, and the manuscript culture has followed. We must maintain contact with the individuals who created each of our individual accessions in order to preserve archives. It protects the literary, linguistic, artistic, and cultural heritage while maintaining the pulse of the past. The study result shows United States of America exceed in the area of research in manuscript libraries. The use of new trends and cutting-edge technologies to adapt to the expanded landscapes of the digital humanities and scholarly communications has produced a number of results, including top collaborators at the journal and institute levels, language, country, and keyword distribution. How to approach the publications in conjunction with manuscript libraries around the world is a challenge.
STUDENTS’ PERCEPTION TOWARD HELLO ENGLISH APPLICATION AS MEDIA IN LEARNING VOCABULARY AT SEVENTH GRADE OF SMP KRISTEN IMMANUEL BATAM

The objective of this study is to find out the students’ perception toward Hello English application as media in learning vocabulary at SMP Kristen Immanuel Batam. This study utilized a qualitative descriptive method. The researcher used an instrument questionnaire and interview. The instrument questionnaire use three factors of influence perception are Perceiver, Target, and Situation. There are thirteen indicators in the instrument questionnaire namely: Attitude, Motive, Interest, Experience, Expectation, Novelty, Motion, Background, Proximity, Similarity, Time, Work Setting, and Social Setting. But interview instrument only use one factor of perception based on the individual concerned (perceiver) with five indicators: Attitude, Motive, Interest, Experience, and Expectation. In analyzing the data from a questionnaire, the researcher did some steps, they were scoring the students, classifying the score of the students using likert scale, the classification of the students’ scores, and the percentage formula of the students. Then data from the interview were used to clarify and strengthen the data from the questionnaire. The finding of this research showed that Hello English application has many benefit for students because Hello English application is not only to memorize vocabulary but also some students can learn about writing the text vocabulary, answering the question, speaking the text, and building sentences on Hello English application. Therefore it could be assumed that all students perceived positively toward Hello English application as media for learning vocabulary.
Impact of Blockchain Technology on Operations and Supply Chain Management Performance

This paper emphasizes exploring the relationships between blockchain technology and operations, and supply chain management, and the impacts of blockchain on the performance of operations, logistics and supply chain management.The study revealed that blockchain has been widely applied in the logistics and supply chain of various industries resulting in better operations and performances.The study also found that usage of blockchain technology in daily business operations can provide operations and supply chain managers with several advantages starting from increased response times, safe and secured data, proper visibility across nodes, transparent transactions, and supply chain members' trust.This paper also contributes to value in the literature by summarizing recent blockchain advancements and analyzing their prospective applications in the supply chain and operations management field.
Key to the Kingdom

This paper takes a fresh approach to the study of the Arabic Gospel manuscripts. Although considerable success has been achieved at mapping out macro-families, there are still large lacunae in our knowledge of the Arabic Gospels as well as of the linguistic and scribal cultures that produced them. Arabic Gospel manuscripts notoriously vary at every level, and much of the variation is idiosyncratic. In previous work, this variation has by and large been considered background noise to be filtered out. In this paper, I study variation in the lexical, grammatical, and orthographic domains in the Gospel of Matthew as attested in twenty-two manuscripts belonging to multiple manuscript families. I use a Principal Component Analysis (PCA) to detect possible patterns in the variation. At each level, the variation is patterned in ways that contribute to our understanding of the manuscripts and their production. Most significantly, I argue that grammatical variation is not random, as previously assumed, and that several distinct grammatical traditions are detectable. I thus show that far from being an obstacle to the study of the Arabic Gospels, variation is in fact key to fully understanding them.