Reviewerly/exHarmony huggingface dataset:
<scp>GCR‐Net</scp>: A deep learning‐based bare hand detection and gesticulated character recognition system for human‐computer interaction

Summary Precisely detecting bare hands and recognizing the characters are two major stages in gesticulated character recognition systems. It is very challenging to implement them in an uncontrolled environment. Additional variations, particularly (i) background feature domination (BFD) effect and motion blur in detection, (ii) gesturing style, pattern, and case sensitivity in recognition, make the system more complex. To address these challenges, a gesticulated character recognition (GCR‐Net) model is designed. To detect the bare hand precisely, a pixel‐wise segmentation approach, HandSNet, is presented, which is able to overcome the BFD effect. To handle the motion blur in the frames, a tracking module comprised of a point‐tracker and Kalman filter is applied. To reduce the computational time, a mini‐SqueezeNet network is designed, which is used in HandSNet and recognition models as the backend network. It has 0.39 million parameters only. Four separate deep convolutional neural networks (DCNNs) are connected with the network section module at the recognition end. This network selection module activates one DCNN at a time to recognize the gesticulated characters accurately. The proposed GCR‐Net reduces the complexity between similar characters and provides a high precision rate compared to the existing approaches.
Students’ Insights about the Influence of Text Messaging on Academic Writing Skills

The aim of present study was to find out the students’ insights about the influence of text messaging on their academic writing skills. To complete this task the researchers employed cross sectional survey and adopted both qualitative and quantitative methods. An online questionnaire was developed to collect data. The population of the study was 10 universities of Gujranwala Division and the participants were both male and female students at graduate level. The sample size was 250 and sample technique was random. The data was collected by sending online link of the questionnaire through WhatsApp and email. Out of 250, 200 responses were received. Frequency and thematic analysis techniques were employed to analyze the collected data. The findings of the present study exposed that text messaging have influence on their academic writing skills. It was also revealed by the participants that they could save time and their habits force them to use short forms of text messaging in their academic writing
Innovation in Coin Jewellery fashioned with Enameling and Semi-Precious Stones

The study’s main objective was to collect coins which are currently unpopular or unfashionable and convert them into beautiful ornamented pieces of jewellery. Coins are one of the main material sources for Historians and are a good source to know about administrative history. Coins at first appear to be purely decorative elements in Indian jewellery and on costumes and have emotional significance. This exploratory study required exploring the different techniques of enamelling. It was found that champlevé was the best suitable technique as it can be done without disturbing the motifs on the coins. The study is very experimental because of the amalgamation of Meenakari and coin jewellery, and to find its acceptance among the people. Product development included six stages: structure formation, polishing, stone setting, electroplating &amp;meenakari. It was found that enamelling is possible on silver, gold &amp;copper coins, but in some cases, the characteristics of coin metal have to be carefully studied. It is recommended that more designs should be made to preserve the old coins and increase their aesthetic value and historical significance.
The Model of Learning Profile “Diamond of Personality” to Develop the Learners Agency

Introduction. The implementation of the strategic priorities for the development of education in Russia, as well as the changing demands of interested participants in the educational process actualize questions about the performance of educational organizations, how to measure them, as well as modern education management practices. The use of only normative and criteria-based assessment does not allow achieving the key demanded educational result – the active behavior of the student, because requires different approaches to the organization of educational activities, the construction of collective-individual educational routes, the creation of opportunities for self-determination and self-realization for both students and teachers. The purpose of the article is to describe a model that reflects educational results as a personal potential for a number of parameters of different directions. Materials and Methods. Local and global practices (assessment, evaluation, target and value of learning) have been analyzed. Revealed trends and failures were used as base for new assessment model. Results. The authors researching a lot of evaluation models formulated a simple criterion for the applicability of assessment tools in the form of “the complexity of the tool should not exceed the interest in its results”. The proposed model claims to have a reasonable balance of complexity and informativeness: on the one hand, the structure of the parameters is multilevel, on the other hand, it is visualized like octahedron – a diamond crystal. The choice at each level is simple as dichotomy which allows it to be considered an indicator. It should be used as basis of digital learning profile. Discussion and Conclusion. The conclusions made by the authors contribute to the development of tools for assessing the educational result, focused on active educational behavior and using the digital environment for monitoring and accounting. The materials of the article can be useful to teachers and administrators who are interested not only in the traditional sign of compliance with the final tests, but also in the development of educational subjectivity that supports and develops the activity of students.
The Effect of E-Marketing on The Performance of Small Business Enterprises

Small business enterprises play an important role in boosting global economic growth and raising the nation&amp;#39;s GDP. E-marketing is becoming a necessary part of information technology that small businesses must use to succeed. The influence of e-marketing, as reflected by its two variables (E-marketing tools and E-marketing budget), on the marketing performance in small business businesses in Jordan has been examined in this research. The model fit and its proposed hypotheses were tested using structural equation modeling (SME). The proposed study model was determined to have good-fit. According to the study&amp;#39;s findings, E-marketing tools had a significant effect on pre-sales activities (SE = 0.124, P &amp;lt; 0.05), but not on post-sales activities (SE = 0.052, P &amp;gt; 0.05), or on marketing performance (SE = 0.053, P &amp;gt; 0.05). Pre-sales activities, post-sales activities, and marketing performance were all significantly affected by the e-marketing budget (SE = 0.0.652, P &amp;lt; 0.05; SE = 0.374, P &amp;lt; 0.05; SE = 0.289, P &amp;lt; 0.05) respectively. Marketing success in terms of marketing performance was strongly affected by pre- and post-sales activities, respectively (SE = 0.389, P &amp;lt; 0.05; SE = 0.542, P &amp;lt; 0.05).
FIRE Watchers: The Centrality of Surveillance (Studies) for Finance, Insurance, Real Estate

The deepening integration of the technology sector with the FIRE sector (finance, insurance, real estate) is, arguably, one of the most consequential developments in contemporary political economy. With names like fintech, insurtech, and proptech, the influence of these industries can be found everywhere and only continues to grow. At their heart, the rise of FIRE-tech is about upgrading old and building new forms of surveillance and then applying them to increasingly more people, places, and processes. And yet, critical research on FIRE-tech from the field of surveillance studies has not kept pace with these developments. This special issue offers us a chance to look back on the contributions made by the field and look ahead at the challenges it now faces. As we think about the issues and agendas that should guide our research moving forward, there is value in bringing surveillance studies and FIRE-tech into closer alignment. Doing so provides an opportunity to increase the analytical power and ongoing relevance of the field by critically confronting the development, purpose, and impact of FIRE-tech. In short, we should frame FIRE as surveillance and we should see surveillance via FIRE.
An Examination of the Linking Error Currently Used in PISA

Educational large-scale assessment (LSA) studies like the programme for international student assessment (PISA) provide important information about trends in the performance of educational indicators in cognitive domains. The change in the country means in a cognitive domain like reading between two successive assessments is an example of a trend estimate. The uncertainty of trend estimates includes sampling and linking errors, which are regularly reported in the PISA study. This article focuses on the linking error that assesses the variability in trend estimation regarding the choice of items. Since PISA 2015, the linking error estimation method has changed. This article compares the statistical behavior and the concept of the new PISA linking error and the PISA linking error utilized until PISA 2012. It turns out that the newly proposed linking error provides no generalization of the old PISA linking error but rather reflects different aspects of uncertainties and model error.
The Link Between the Spread Information and the Maxwell’s Equation

The Forces between two charges are one the four fundamental forces that keep the world together Indeed when a single photon is emitted, it spreads over a system, the intensity decrease by square law of the distance which compliant with conservation of energy.A changing magnetic field creates an electric field, and a changing electric field creates a magnetic field, and an accelerating electric field creates an accelerating magnetic field.Electric lines are modeled for visualizing the effect in space of electrostatic forces that occur two or more charged particles.Maxwell equation provides a Mathematical model for electric, optical and radio technologies such as power generation, electrical motor and wireless communication.Unfortunately, Maxwell's equation requires some advanced techniques which lie well beyond the understanding of this paper.The derivation of maxwell's equations is approach established for the time -dependent from static laws, The variation of electrical fields and magnetic field and Faraday's law can be derived without any assumption relativistic.
High Utility Pattern Mining: A Survey on Current and Possible Areas of Applications

High Utility Pattern Mining (HUPM) has a wide range of applications, including making recommendations, detecting outliers, analyzing customer behaviors, and solving a wide range of other problems. In fact, unlike other important data mining tasks such as outlier analysis and classification, high utility pattern mining can be used as an intermediary tool for providing pattern-centered insights for other data mining tasks. In this paper, we look at a wide range of different applications of high utility pattern mining that are available in the literature. We gathered the literature review papers from different resources based on the keywords related to the applications of high utility pattern mining. Then we classified the existing research papers into different categories according to the domain application, then we summarize the proposed method of each paper and the datasets used for the evaluation process. Rather than providing a full discussion of every possible application, the objective of this paper is to give readers an overview of what is feasible when high utility pattern mining approaches are used. This paper can help researchers to apply the techniques of high utility pattern mining to solve real-time problems and it can help to explore other possible domains to apply high utility pattern mining techniques by proposing new methods and evaluating them accordingly.
A Study on Recruitment Process: with A Special Reference to Employment Mantras

Successful hiring, selecting, and retaining employees is essential for an organization. They enable companies to have performing employees and contribute positively to the organization. As the recruitment process is very crucial and time-consuming as well as costly for company, now a days industry relied upon consultancy and agency for outsourcing and for hiring employees. As because consultancy have dedicated HR team for hiring right candidate for right job as outsourcing is on high demand there are a lot of competition in market to provide best candidate to the company a consultancy need to adapt various modification in recruitment process and techniques to get suitable candidates for the job post. Identifying absolute recruitment techniques and changing or modifying the process for good will provide good results
Analysis of Regression Methods for Face Recognition System

Face verification has recently drawn a lot of attention as one of the best applications of image assessment and perception, particularly over the course of the last significant amount of time. Two factors, namely the wide range of corporate and legal approved applications and the openness of accessible headways after 30 years of research, speak to this example. Despite the fact that existing machine affirmation structures have made some progress, their success is still limited by the requirements of many real-world applications. For instance, the verification of facial images captured in an outside setting with variations in lighting or possibly position isstill a very difficult problem. This paper present a analysis for face recognition method in comparison with PCA and LDA and suggests that LCDRC finds a discriminant subspace by maximizing collaborative between-class reconstruction error and minimizing the within-class reconstruction error simultaneously.
Performance of IT Software and Service Sector in GDP Contribution of Developing Countries

According to the WESP (World Economic Situation and Prospects, 2019) the countries in the world are divided into; developed countries, transition countries and developing countries. The United Nations Economic and Social Council decided to choose some of the countries from developing countries as least developed countries as per three different indexes; Index of human assets, per capita GNI and economic vulnerability index. The paper aims to analyze the performance of the IT software and service sector in GDP (Gross Domestic Product) contribution of developing countries as well as least developed countries, least developed countries are chosen to have a comparison between the performances of those sectors in different economies. The data has been chosen from United Nation Conference on Trade and Development from 2000s to 2017, and for comparison 20 developing countries and 14 least developed countries from these regions; Latin America, Africa, Western Asia, and East Asia as well as South Asia, have been chosen too. We found; the average share of the service sector and IT software sector were 53 percent and 32.6 percent in GDP growth of all developing countries, and 47.02 percent and 22.57 percent in GDP growth of all least developed countries, respectively, that shows the share of these sectors in developing countries are higher than the least developed countries, and as per the data, the performance of these sectors are much higher in developing countries than the least developed countries
Perancangan Website Pada Kantor Camat Mulak Ulu Kabupaten Lahat Dengan Metode Waterfall Menggunakan Framework Laravel

The Mulak Ulu Sub-District Office of Lahat Regency provides public services to the community as the executor of regional techniques that act as Regency/City regional apparatus, regarding population data. At the Mulak Ulu sub-district office, Lahat district has problems in carrying out public services and conventional information dissemination has an impact that can reduce the accountability and accountability of the Mulak Ulu sub-district office in Lahat district. The research method used in this study is a sequential method. systematic process in the process will be more effective and efficient in designing a website-based system using the Laravel Framework which is a PHP framework composed of several integrated plugins
Impact of Blockchain in 5G

Abstract: People have grown socially dependent on the internet as a result of its tremendous convenience and increased influence. Fifth-generation wireless networks, or 5G, are a game-changing technology standard in mobile telecommunications that promises to be 20Gbpsfasterthan current 4G technology. One of the main goals of 5g internetis to I deliver higher multi-Gbps peak data speeds, (ii) ultra low latency, (iii) more reliability, (iv) massive network capacity, (v) increased availability, (vi) higher performance, and (vii) improved efficiency. 5g (Fifth-generation wireless networks) is the most recent iteration of cellular technology. The blockchain technology, on the other hand, is one of the contentious technological enablers that addresses the majority of the present restrictions and offers the functional standards for 5G. Making the best possible use of the tools and resources at hand is essential for creating smart cities. In this paper, we first examine how blockchain might help to solve the difficult problems posed by 5G, and then we discuss potential future applications and research possibilities.
Data Mining Techniques and Applications

Abstract: In recent days internet is considered as the main supply for searching the information and collecting data . The extraction of the data from the web offers several query results. Machine-controlled tools are needed through queries from the amount of pages by using the internet to spot the connected info. Data mining method is taken into account an efficient method of extracting the relevant information from databases. This method is employed for the pattern identification. Data mining could be a method that finds helpful patterns from great amount of knowledge. The paper discusses few of the information mining techniques, algorithms and a few of the organizations that have adapted data processing technology to enhance their businesses and located glorious results
Corruption and Entrepreneurship in Developing Countries

The importance of entrepreneurship as a driver of economic development cannot be denied. Nevertheless, developing countries suffer from unsatisfactory entrepreneurship level, partially explained the low economic growth. Given the main attribute of developing countries, which is highly corrupted, this study empirically investigates the effect of corruption on entrepreneurship in 48 developing countries from 2008-2016. By using Generalized Method of Moments (GMM) estimator, the results show that an increase in corruption will promote more new business start-ups suggesting that in highly corrupted countries, potential entrepreneurs may observe that the only way to start a business is to bribe government officers to get licenses, permits and business approval. Therefore, a proactive role of government in effectively reducing and eventually eliminating corruption to create a more conducive environment for entrepreneurs to grow up is very critical.
AREAS OF ORGANIZATIONAL CHANGE AND THEIR IMPACT ON THE STRATEGIC MARKETING PLANNING PROCESS

The aim of the research is to identify the impact of the areas of organizational change in strategic marketing planning in cement factories operating within the city of Al-Khums, and this effect was measured using a questionnaire consisting of 28 phrases, and it was relied on the descriptive approach that suits the nature of the subject of the research, while the research community consists of heads And members of the board of directors, authorized managers, unit managers and heads of departments in the factories under study, which numbered 55 respondents, during the month of September of the year 2021, and a sample of the comprehensive survey of the research community was selected, and the SPSS statistical program was used to analyze the data, and the research reached results, the most important of which is that there is weak interest in Follow-up of the change by the departments of the factories in question, and the impact of the areas of organizational change on the strategic marketing planning in the factories in question was significant.
The effectiveness of drama-based language teaching in improving students' oral language skills: Longitudinal studies

This study aims to examine the effectiveness of drama-based language teaching on oral language skills, namely the presentation skills of students in college. The research method used is a quasi-experimental method by dividing the participants into two groups. The research participants consisted of 160 students taken from the college level. Participants were divided into two groups with a composition of 80 experimental groups and 80 control groups. The results showed that the presentation skills of the experimental group showed a significant improvement after participating in the drama performance. The improvement in presentation skills occurs in three aspects, namely the structure of the presentation, adaptation to the audience and the quality of the presentation content. So, it can be concluded that this drama-based language teaching can encourage and practice speaking skills in real terms so that it has an impact on students' presentation skills. The implication of this research is that drama can be used as an alternative assignment in order to improve students' presentation skills. Keywords: Oral language skills, presentation skills, language teaching, drama
Developing a simulated intelligent instrument to measure user behavior toward cybersecurity policies

Institutions struggle to protect themselves from threats and cybercrime. Therefore, they devote much attention to improving information security infrastructures. Users’ behaviors were explored via a traditional questionnaire research instrument in a data collocate process. The questionnaire explores users’ behaviors theoretically, so the respondents’ answers to the questionnaire are insufficiently reliable, and the responses might not reflect actual behavior based on the human bias when facing theoretical problems. This study aims to solve unreliable responses to the questionnaire by developing a simulated intelligent instrument to measure users’ behaviors toward cybersecurity policies in an experimental study using gamification.
Analysis of student satisfaction levels on the use of quizizz in educational statistics courses

The purpose of this study was to analyze student satisfaction with the use of the Quizizz application during midterm exams in educational statistics courses. This study uses a survey method. Data obtained from primary and secondary data sources. The population in this study were all Islamic Religious Education students in semester III at IAIN Manado for the 2021/2022 academic year. While the sample was selected using a random sampling technique, amounting to forty-two students. The instruments used were tests (UTS questions) and questionnaires to see student satisfaction. The results showed that the UTS average score was in the high category (82.15% with a standard deviation of 5.13%). For the student satisfaction questionnaire with the use of Quizizz with an index result of 4.95, it can be said that students give a good response to the use of Quizizz. Based on the results of the research that has been done, it can be concluded that Islamic Religious Education students are very satisfied using the Quizizz application in educational statistics courses.