Reviewerly/exHarmony huggingface dataset:
Analysis Of The Effect Of Knowledge On Entrepreneurship Readiness Using Random Forest Classification Machine Learning

Entrepreneurship is a phenomenon that has an important influence on the progress and welfare of the world, so that entrepreneurship is used as the base of economic development. Psychologically, entrepreneurs are people who have a strong internal drive as an effort to achieve certain goals so that they have a tendency to experiment in showing a character that is free from the control of others. Entrepreneurship can be seen from various points of view. The angle and context in question are views from several fields, namely according to economists, management, business people, psychologists and investors. The main requirement that an entrepreneur must have is entrepreneurial knowledge. entrepreneurial readiness is determined by the knowledge possessed and experience in conducting a business (Kurniawati, 2019). In the midst of the rapid development of artificial intelligence (AI) technology today. Not many people know that artificial intelligence consists of several branches, one of which is machine learning. This machine learning (ML) technology is one of the branches of AI that is very interesting. The sample population in this study was obtained from the air transportation school consisting of 7 populations. Data analysis is done by using . The research location is an air transportation school with Machine Learning Random Forest Classification with a population of cadets, lecturers and the general public
Augmented Reality Application-Based Teaching Material's Effect on Viscera Learning Through Algorithmic Thinking

The study aimed to examine AR-based teaching material's effect on viscera learning through algorithmic thinking by the primary school teacher candidates who are sophomores in the classroom teaching department in the spring term of the 2018-2019 academic year at a state university in the Eastern Black Sea and selected by convenience method. Viscera Information Form (VIF) and Application Process and AR Survey Form (APSF) were used as data collection tools in the study. VIF included subjects viscera in a human model and placed them in the skeletal structure. The other form, APSF, is about the application process and the material prepared with augmented reality. While the data obtained from VIF were analyzed under the researcher-defined categories regarding the participants' showing each viscera in a human torso model and placing them in the skeletal structure, the data obtained from APSF was processed with content analysis. The study results revealed that AR-based teaching material makes a positive contribution to the learning of viscera through algorithmic thinking. In addition, this is determined as AR-based teaching material contributes to understanding the related basic concepts through algorithmic thinking.
Learning of Consistent Preference Relations for Decision Making and Optimization in Context of Interacting Goals

In former papers a decision and optimization algorithm based on interactions between goals was introduced and it was shown how it solves relevant real-world problems.However, the algorithm assumed preference information on the goals as initially given.In this paper we describe a learning algorithm that derives such preference information from decision and optimization input data.It is shown how the former algorithm is improved and how this improvement links the algorithm to reinforcement-based machine learning optimization.
Regional Scale Alteration Mineral Mapping using ASTER Imagery in Sparsely Vegetated Terrain: a case study from Eastern Part of South Purulia Shear Zone, India

The use and recognition of remote sensing technique for geological application has been increased manifold in the last two decades.Although greater achievements were made in public availability of data, sensor resolution such as revisiting time, spatial resolution and temporal resolution, mineral exploration in unexplored vegetated region is still remain challenging.The vegetation present in the terrain hiders the signature of the underlying geological material partially.Therefore, locating the potential zone for hydrothermal deposits becomes more difficult in such domain.The current work documented mineral mapping on a sparsely vegetated terrain, i.e., eastern part of South Purulia Shear Zone, India using ASTER imagery.It provides a comparative study of Band ratio and Directed Principal Component Analysis for alteration mineral mapping.The remotely derived results have been correlated and validated with field evidences and geomorphic features identified from the high resolution Geoeye imagery.Alteration zones are observed to developed parallel to the shear zone as small-scale discrete pockets.The DPC result has been interpreted in two different ways shows accuracy of 79.31% for ¼ th standard deviation classification scheme, and 77.01%for band combination with thresholding and linear stretching techniques.Hydrothermal alteration zones identified from the study seeks further details study on alteration and mineralization.
The Influence of Used WhatsApp Group in Online Learning to Student Discipline at Elementary School

Abstract. The background of this study is the low attitude of student discipline during distance learning. This study aims to determine the benefits of WhatsApp groups in distance learning on improving the discipline attitude of elementary school students. Student discipline is very important to improve learning outcomes. The data used is secondary data, as well as the research method used is literature study research. The analysis technique used in this study is the content analysis. The data obtained will be collected, analyzed, and concluded to get the expected conclusion. Based on the results of literature research from several journals written by researchers previously showed that the use of WhatsApp groups in distance learning is very useful in the process of increasing student discipline.
COMPARATIVE LITERARY WORKS, LANGUAGE LEARNING AND CHARACTER BUILDING OF LEARNERS

This paper aims to express efforts to use comparative literary works as a medium in language learning, and at the same time as a means for the formation of the character of learners. The benefits of comparative literature, among others: (1) as the basis of the study of cross-cultural literary works, (2) as the basis or basis of language skills learning (Sprachfertigkeiten) namely: listening (Hӧrverstӓndnis-Sprechfertigkeit), reading-writing (Leseverstӓndnis-Schreibfertigkeit), (3) as a means of strengthening character education. As the basis for cross-cultural text studies, comparative literary works can be used to compare cultures between nations. As the basis of language learning, comparative literary works, has a uniqueness that is not possessed by other linguistic teaching materials, because the language of literary works has a connotative characteristic (figurative), contains majas, and prioritizes the characteristics of narrative discourse. Language in literary works prioritizes its main function, which is communicative function and suitable to be used to teach language skills. Furthermore, as a means of strengthening character education, literary works are worthful, which can be used to provide value strengthening for learners as the future generation of the nation.
Design of Web-Based Promotion

The purpose of this study is to determine customer satisfaction by looking at the variables of interaction quality, system quality, and usability. This is done so that Chocolatier Dessert, as one of the desserts and snacks retailers, can compete and grow, so a website is designed to promote the goods produced. The method used the waterfall method, which works on the essence of a system that is done sequentially or linearly. The data was collected by distributing a list of questions to 50 respondents. The data collected was then processed using the SPSS application to test its validation and reliability. It is done to measure customer satisfaction and the variables that influence it. The results show that promoting the chocolatier through the website was very effective where the interaction quality and information system variables affected customer satisfaction, while usability did not. From the results of this study, it can be seen to maintain customer satisfaction. It is necessary to pay attention to the interaction system and information systems in promoting the Chocolatier Dessert.
Automatically Exposing Problems with Neural Dialog Models

Neural dialog models are known to suffer from problems such as generating unsafe and inconsistent responses.Even though these problems are crucial and prevalent, they are mostly manually identified by model designers through interactions.Recently, some research instructs crowdworkers to goad the bots into triggering such problems.However, humans leverage superficial clues such as hate speech, while leaving systematic problems undercover.In this paper, we propose two methods including reinforcement learning to automatically trigger a dialog model into generating problematic responses.We show the effect of our methods in exposing safety and contradiction issues with state-of-the-art dialog models.
THE HEGEMONY OF KEYBOARD DEFAULTS

No single tool is more fundamental to writing—and more unexamined—than the computer keyboard. Most of us in the West never consider that the standard QWERTY key layout, i.e. the staggered key design and the selection of keys available, is anything but the received, traditional means of text input. And as such, keyboard/device manufacturers wield a unique form of power: they dictate the kind of words we can create. They further decide, however unconsciously, the motions our fingers take when we write; the staggered layout was necessary for the proper functioning of mechanical typewriters, but has no necessity for computers (let alone mobile devices), yet continues to be replicated, despite the fact that it is responsible for repetitive stress injuries that could be eliminated or reduced with an improved ergonomic design. QWERTY may even shape the meaning of words that we type. Furthermore, considering the global reach of QWERTY against the backdrop of language diversity, and particularly the approximately 300 non-Latin scripts in existence, the hegemony of default QWERTY keyboards hints at the ongoing impacts of the colonial legacy within digital technologies. Thus, to make computing, and the Internet, more equitable and humane, we must reimagine our keyboard layouts, the characters they include, and our modes of human-computer interaction. Our paper presents this case, employing data analyses of hardware and software keyboard usage statistics.
Analisis Sentimen Sistem Ganjil Genap Kota Bogor

To reduce the crowds during the COVID-19 pandemic, the Bogor City Government implemented an odd-even system for all vehicles in the city of Bogor at the end of the operation. Since the implementation of this policy, many opinions have been conveyed through social media. An analysis is needed to find out how effective the policy is based on public opinion. For this reason, an analysis of the sentiment application of the odd-even system for vehicles in the city of Bogor was carried out during the pandemic. The purpose of this study is to determine the accuracy, recall, and precision and calculate the amount of emotion obtained from sentiment analysis by using several algorithms for the application and application of selection features that can provide sentiment information related to the effectiveness of the software system in Bogor City. The research stages started from the selection of data, pre-processing, implementation, validation, and evaluation. Based on this research, it can be found that the Support Vector Machine algorithm with the application of Particle Swarm Optimization shows the results of the greatest assessment on the system sentiment analysis test in the city of Bogor during the pandemic with a value of 73.07%. In total, the sentiment of implementing the odd-even system to declare in Bogor City shows an expression of the joy of 45.45%.
Endüstriyel Robot Hareket Planlama Algoritmaları Performans Karşılaştırması

 Effect and important of this article in literature  Exchange between sources in related subjects of this article  Contribution and strongest impact on the related sobject of this article  Examined study and obtained results why is importantIn robotics studies, motion and trajectory planning for industrial robot systems is one of the most actively studied topics."Automated Robot Inspection Cell for Quality Control of Automotive Body-in-White (ROKOS)" has been defined as the Use-case Scenario within the scope of the VALU3S project, where studies are carried out for the verification and validation (V&V) of autonomous systems.In this study, ROKOS system, developed in the real environment, was transferred to the GAZEBO simulation environment for the V&V of the defined use case scenario, and SRVT (Simulation Based Robot Verification Testing Tool) was revealed and simulation-based tests of the evaluation scenarios created within the scope of the project were carried out on this system.Figure A shows the results of the Full Test with Reset.Figure A. Full test with reset results
Examining the Moderating Effect of Geopolitical Environment on Crisis Management and Strategic Planning

This study aims to examine the moderating effect of geopolitical environment on the relationship between crisis management and strategic planning in the service sector firms.Thus, examining the geopolitical environment variable will give a comprehensive perception to understand the crises environment and could strategically deal with these crises that considered as challenges to the service sector.A total of 120 questionnaires were collected from respondents who were chosen by the quota sampling technique.The results revealed that the geopolitical environment variable fully moderates the relationship between crisis management and strategic planning.The findings of this study can have significant implications for the service sector of Palestine.The study findings have several theoretical, practical, and managerial implications in the fields of crisis management, strategic planning and geopolitical environment.Consequently, this study suggested that it is advisable for service sector firms to invest in crisis management and encourage several strategic processes for providing firms with a defensive capability in order to prevent crisis developments or diminish their impacts.
Design of Computerized Adaptive Testing Module into Our Dynamic Adaptive Hypermedia System

By the end of the 20th century, the most common and traditional paper and pencil tests (PBT) were faced with an increasing set of difficulties and drawbacks. Proceed and meet the measurement and evaluation needs of the 21st century; it is mandatory to have radical and qualitative changes. The accelerating pace of technological innovation in Education shows a clear path to computer-based testing, which offers a more engaging and innovative testing environment, as well as the ability to obtain instant results and feedback, the use of dynamic, multimedia learning objects (LO), and the implementation of adaptive, individualized assessment approaches. In this sense, this paper presents an adaptive formative assessment framework in which test adaptation is based on multiple criteria. The presented system bases its adaptation on the test takers' proficiency, schemata, desirable learning goal, cognitive level, and learning style. The main objective of this paper is to discuss the value of the adaptive testing system. Therefore, it presents the design and implementation of the system and the adaptive rules employed.
Thermobarometry and mineral chemistry of Central Iran Permo-Triassic lamprophyres in Chahrisseh Region, northeast Isfahan

Thermobarometry and mineral chemistry of Central Iran Permo-Triassic lamprophyres in Chahrisseh Region, northeast Isfahan
CHALLENGES AND DIFFICULTIES FOR MICRO-BUSINESSES IN ADAPTING IFRS FOR SMES REQUIREMENTS: KOSOVO EVIDENCE

Small and medium-sized enterprises (SMEs) have a vital position in the international economy. The study aims to examine the compulsory financial reporting requirements set by the Kosovo Council for Financial Reporting (KCFR) as well as SMEs requirements for reviewing the current classification in the Kosovo context. This study, like most relevant studies, employs ordinal probit regression to examine the relationships among the requirements defined as dependent variables and other control variables such as necessary reclassification review under KCFR, preferred reclassification review under KCFR, experience knowledge of accountants and auditors, continuously education concerning financial reporting, and assessments of business owners. According to the reported conclusions, the application of these requirements in the Kosovo context does not create any opportunities for SMEs. On the contrary, the findings point to a thorough review of the reporting requirements for micro-businesses, as the current classification appears to be a burden for these businesses.
Edge Detection for Face Image Using Multiple Filters

Edge detection is a technique for detecting the presence and location of sharp changes in an image's intensity.Edges help in segmentation and object recognition by defining the boundaries between sections in an image.Edge detection minimizes the quantity of data in an image and filters out unnecessary information while keeping the image's crucial structural qualities.The general method of edge detection is to study the changes of a single image pixel in an area, use the variation of the edge neighboring first-order or second-order to detect the edge.This paper is an overview of different edge detection techniques like differential operator method such as Sobel operator, canny technique and we used Visual Basic Language version 6.0 for this paper.
Mode-assisted joint training of deep Boltzmann machines

Abstract The deep extension of the restricted Boltzmann machine (RBM), known as the deep Boltzmann machine (DBM), is an expressive family of machine learning models which can serve as compact representations of complex probability distributions. However, jointly training DBMs in the unsupervised setting has proven to be a formidable task. A recent technique we have proposed, called mode-assisted training, has shown great success in improving the unsupervised training of RBMs. Here, we show that the performance gains of the mode-assisted training are even more dramatic for DBMs. In fact, DBMs jointly trained with the mode-assisted algorithm can represent the same data set with orders of magnitude lower number of total parameters compared to state-of-the-art training procedures and even with respect to RBMs, provided a fan-in network topology is also introduced. This substantial saving in number of parameters makes this training method very appealing also for hardware implementations.
Impact of KnowledgeManagement on Organizational Performance and Competitiveness

Purpose:The positive impact of KM in organizations has been well studied and documented.Public organizations in developing countries should take full advantage of this concept to increase efficiency and effectiveness of their services.Study design/methodology/approach: With the research, we will provide guidelines for an acceptable KM policy that mobilizes organizational knowledge made up of knowledge resources in the public service in Nigeria.We will investigate the role of e-government, because of huge government investments in ICT, and what will contribute to progress towards the implementation of KM practices and procedures within the public organization.Findings: As a case study, we take the TetFund, who connect 177 government run tertiary institutions.With survey, followed by statistical methods we get the results about the interactions of various KM metrices.Originality/value: On the basis of findings, we will provide the adequate recommendations about KM framework adoptable to the public service in Nigeria that would improve performance of the TetFund.
Perbandingan Perubahan Luas Luka dan Angiogenesis pada Luka Bakar Derajat IIB Tikus Sprague Dawley yang Diberikan Advanced Platelet-rich Fibrin dan Advanced Platelet-rich Fibrin Plus

Platelet-rich fibrin (PRF) has a lot of benefits in the process of healing. The new generation of PRF, namely advanced PRF plus (A-PRF+), has a different fibrin structure and more growth factors compared to Advanced PRF (A-PRF), the generation before A-PRF+. Objectives:To compared the effects of A-PRF and A-PRF+ on the IIB degree burn. Methods: This experimental study used 20 male Sprague Dawley rats. All rats were given IIB degree burn and divided into four groups. Group 1 was treated with saline, Group 2 was treated with silver sulfadiazine 1%, Group 3 was treated with A-PRF, and Group 4 was treated with A-PRF+. Wound size reduction will be calculated every two days and measured with ImageJ and the wound would be made into a histological slide on day 14 to calculate angiogenesis. Results: Changes in the wound surface area for the group that was given A-PRF dan A-PRF+ are 2,333cm and 4,827cm. The wound surface area’s data were analyzed using Kruskal-Wallis and the results are statistically not significant (p&gt;0,05). The number of angiogenesis for the group that was give A-PRF and A-PRF+ as followed are 5,88 and 4,867. The angiogenesis data were analyzed using one-way ANOVA and the results are statistically not significant (p&gt;0,05). Conclusion: There is no difference between the effect of A-PRF and A-PRF+ towards changes in wound surface area and angiogenesis in IIB degrees burn wounds.Keywords: A-PRF, A-PRF+, burn wound, angiogenesis, wound surface area
Human-Computer Interactions: The Importance of Usability

Abstract: The tremendous technological advancement that has endured through the last century to the present has led to more good than harm. Ranging from vast technological devices to information communication technology (ICT), which have become the new methods of communication, exchange of knowledge, collaboration, and innovation among users and organizations, life is getting more efficient. The technological devices, including mobile devices, systems application software, and websites, continue impacting lives positively. However, it is reckoned that there is a dearth of essential functionalities and utilities, particularly the Human-Computer Interaction (HCI) and usability. These are essential ingredients in any of these devices since they allow the computer users to take as little time as possible to complete their tasks while achieving high efficient performance. Key Terms: HCI, ICT, Usability, Website,
IoT Based E-commerce getting a Secure Connection using Block Chain Methodology

It is one of the growing technology which is very useful in the the particular systems of privacy and the IoT related security which is still one of the unexplored. The flowcharts and all the algorithms are all one of the core part of the IoT technology for the Block chain system, where we have shown the importance of the Block chain system for the IoT system. It is already recorded that more than people there will be things in the future that are why having a particular security for the things which will be all over controlled by the internet calling as the Security for the IoT networks. The block chain system is already useful in many of the other networking system for the security purpose and the security purpose for all the end to end networks. There are many challenging attacks than the other common attacks that are detected for now and here we will discuss about the attacks we are going to prevent.