Reviewerly/exHarmony huggingface dataset:
Democratization of Information in West Africa: Exploring a New Form of Mobile Journalism

In French-speaking African countries, especially in West Africa, the press and journalists have been the direct actors in a radical break in the social and political order.Media played a major role in large-scale popular mobilization of unprecedented events.In African countries in general, the wave of democratic transitions gave rise to more or less important compromises and adjustments.In fact, in a democratic society, the media have a public role that they mainly play in questioning governmental actions (Bennet, 2005).This type of journalism is proving to be a valuable instrument for making politics accountable for their actions, guaranteeing the correct use of public funds, preserving public security, denouncing false statements and protecting democracy itself, at different levels of the State, against various forms of private and public corruption.From the Ivory Coast in 2011, to Togo recently in 2020, passing through Senegal in 2012, Burkina Faso in 2014, Benin in 2016, and even the Democratic Republic of Congo in 2019; the new media were a real tool for dethroning important political figures.These new media, especially Mobile Journalism, have animated democratic movements particularly in West Africa.Thus, this explorative study goes beyond the decisive role of mobile journalism in the rise of awareness in West African society to consider the challenges, the obstacles and to make some suggestions for the well-establishment of innovative journalistic approaches in the continent.Today, citizen journalism continuously occupies a privileged role in West African context.This article explores a new form of Mobile Journalism in Ivory Coast (Côte d'Ivoire) and Burkina Faso, symbolizing a sort of democratization of information in West Africa.Consequently, focus group interviews with mobile journalism's audience, discussions with media group managers, mobile journalists, as well as media regulatory body representatives have been conducted in order to get the opinions about the difficulties encountered.
Optimal Defense Strategy for Data Security Based on Improving Evolutionary Game Model between Heterogeneous Groups

&lt;p&gt;As the information technology develops, network attacks have become complex and diverse. To improve the effectiveness and accuracy of data security defense strategies, an optimal defense method based on improving evolutionary game model between heterogeneous groups is proposed. Specifically, based on traditional evolutionary game theory, the player type space is added to divide the heterogeneous groups, and the group type and game strategy are extended to N to solve the problems in heterogeneous groups. Considering the game is interfered by the environment, a set of dynamic environment functions is added to increase the adaptability of the model when dealing with changing complex networks. Taking into account the influence of information communication within the group, the information flow degree is added to increase the accuracy of evolution rate and solve the problem that traditional model cannot reveal the difference in the evolution rate of players. Based on the new model, taking the game between two types of invaders and one type of defender as an example, the calculation method of evolution direction at any time and the judgment method for the stability of equilibrium point are discussed. Finally, the effectiveness of the improved model is verified through the comparison of simulation experiments, and a new scheme is provided for current network data protection.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Perception-Based Geographical Analysis of Cybercrime: Assessing Vulnerability of Women, Child and Senior Citizens in Palam Colony, NCT Delhi

The Internet has become a necessity in today's world.It is one of the most useful and harmful things depending upon its usage.In the world of crimes also internet plays a significant role in helping black hat hackers in committing cyber-crimes and steal personal information.Electronic devices and the internet are used in these types of crimes like cyber pornography, email booming, exposure to harmful content, grooming, harassment, sexual abuse, cyber-stalking, virus attacks etc. Educated as well as uneducated, both are the victims, and the most vulnerable part of society is children, women, and senior citizens.Children are among the newest victims of cyber-crime.Our study area is the cyber city Delhi, which is secondarily survey including a case study of Palam district.The present study is concerned with finding and examining the problems and impact of cyber-crime on children, women, and senior citizens by suggesting some mitigation measures to boost cyber security.Questionnaires are discussed and results show how much people are aware of cyber-crimes, the connection between cyber-crimes and children, women & senior citizens, and what kind of problems they face in dealing with such kinds of crimes.The findings suggest that people do know about this current problem, but more awareness is needed from a small level like school discussions should have this kind of topics, elderly people don't use social sites much but receive fake calls from banks and companies which try to manipulate them.To reduce the level of cyber-crime, some suggestions and solutions are discussed at the end.
The Effect of Information Security Systems on Service Quality in E-Commerce Systems

The current development of information technology has brought significant changes in the business world, including the e-commerce system. However, this technological development also brings new risks, namely the threats to information security in e-commerce systems. Therefore, e-commerce companies must develop an effective information security system to minimize security risks and improve service quality. This study aims to analyze the effect of information security systems on service quality in e-commerce systems. The method used in this research is qualitative by conducting interviews with several e-commerce system users and management of e-commerce companies related to information security systems. The results show that an effective information security system significantly influences the quality of service in e-commerce systems. E-commerce system users have more confidence in systems with robust information security systems, improve data integrity, and reduce the possibility of problems or failures in e-commerce systems. In addition, management who is actively involved in paying attention to information security systems will show concern for the security of user data and increase user trust in the e-commerce system being operated. e-commerce companies must prioritize developing and continuously improving their information security systems and ensure management involvement in maintaining data security to gain user trust and loyalty. This, in turn, can enhance the service quality provided and positively impact future business growth.
Analisis Game Bubur Ayam Express Sebagai Bentuk Advergame

Games in today's digital developments are no longer something that is difficult to reach, everyone can access games easily. This also affects the function and role of a game, where today's game is not only an entertainment medium but also an advertising medium. The role of games as an advertising medium is known as the advergame strategy, which is a combination of advertising and games. Games are considered capable of being an effective communication medium in communication between brands and consumers and are considered capable of increasing brand awareness of a product. One of them is Express Chicken Porridge Game. Game Bubur Ayam Express is an advertising medium for Sasa products produced by PT. Sasa Inti. Advergame has several types that differ from one type to another. The Bubur Ayam Express game uses an advergame type in the form of product placement where Sasa products are placed throughout the game and become part of the game's gameplay. The methodology used is qualitative with a visual analysis model.
Facial Image Expression Recognition and Prediction System

Abstract Facial expression recognition system is an advanced technology that allows machines to recognize human emotions based on their facial expressions. We will use a dataset of human picture facial images in this research, which has more than 35500 facial photographs and represents seven different types of facial expression. To create our prediction model, we will use three different architecture models to create a system for predicting face expressions in people. We will analyze our data and make every effort to remove as much noise as we can before feeding that information to our model. We use the confusion matrix to assess the model's performance after it has been implemented effectively. To demonstrate the effectiveness of our model architecture, we will generate bar graphs and scatter plots for each model to display model loss and accuracy. The output of this model are visualize with actual class and predictive class and the result have graphical representation for each and every output facial Images which makes our recognition system user friendly.
Barcode-Karten as Learning Development to Improve Vocabulary Knowledge about German Language

The quality education process in learning foreign languages, mainly German, must be supported by learning media. To improve vocabulary knowledge about German Artikel with the Haustiere theme needs to be supported by "Barcode-Karten" as the purpose of this research. Multimedia-based learning media utilizes audio, text, and images by combining barcodes, links, and tools with that students are interested in finding out, interacting, and communicating. Borg and Gall's research and development model was modificated in this study. The validation and trial phases have been carried out on the development of Barcode-Karten media. Quantitative data in the form of assessment scores with a Likert scale and qualitative data were obtained from criticism and suggestions through questionnaires to validators and students of class XI Cross-Interest German Language at SMA Laboratorium UM. Data were analyzed using qualitative descriptive analysis techniques. The function of this media can bring out the desire and motivation and positively influence on students' vocabulary mastery. In addition, Barcode-Karten is worthy of being a learning medium to improve the knowledge of German vocabulary with the Haustiere theme.
The Issues, Challenges and Impacts of Implementing Machine Learning in the Financial Services Sector

Machine learning (ML) is another branch of technology deemed valuable in the financial sector because of its ability to assist organisations in identifying fraudulent transactions and predicting the ability of customers to repay their bank-issued loans. However, like any type of technology, the adoption of ML introduces changes that impact the processes and operations of the financial service sector. Research on the merits of implementing ML is well captured; however, research on such developments' challenges, issues, and impact is scant. To address this gap, a systematic literature review was undertaken to contribute to the research discourse by investigating the issues, challenges and impacts of implementing ML in the financial business sector. The ScienceDirect, EBSCOhost and ProQuest databases were used to search for the relevant scholarly sources published from 2013-2022. The literature was reviewed based on the PRISMA flow diagram and a thematic analysis of the 35 articles that met the inclusion criteria. The outcome of the review revealed that more complex models, such as artificial neural networks, were implemented in all the identified financial services sectors, followed by support vector machines. This review concludes that the larger the quantity and complexity of financial data, the less the data quality, which significantly reduces the prediction performance, efficiency, and accuracy of the model, which can significantly impact the operations, financial aspects, and the overall reputation of the firms. Future research must explore the impact of ML on the operational, adoption and skills shortages in the financial sector.
DEVELOPMENT OF ELECTRONIC MODULES USING PROFESSIONAL PDF FLIP ON MEASUREMENT MATERIALS

This study aimed to determine the results of the development of electronic modules on measurement material and student's perceptions of the product being developed. The type of research conducted is R&amp;D research with the development model selected, namely the 4-D development model. The research samples used were two expert lecturers as product assessors and 25 students as samples whose perceptions were measured. The sampling technique used was purposive sampling, with the instruments used being a student needs questionnaire, material validation, media validation, and student perceptions. The data analysis for the questionnaire is descriptive statistics, while the instrument data validation uses reliability and validity tests. The results of the data obtained indicate that the product is feasible to use and can be accessed using a mobile phone via the link provided by the author, while the perception of the electronic module obtained shows a very good perception. Thus, this module is considered feasible and ready to be used to assist students in understanding.
Factors Contributing to Cybersecurity Awareness, Education and Training

This paper aims to identify the contributing factors for successful cybersecurity awareness, education, training, programs. The study adopted the systematic literature review method and included 58 primary studies. The study explores approaches for cybersecurity awareness, education and training to improve cybersecurity skills and practice in the extant literature. The study noted several recommendations towards effective cybersecurity awareness, education and training programs. These include considerations focused on the importance of assessing the awareness levels of users, selection of pedagogical approaches, design of the curriculum and supporting organisational and demographic aspects.
Parameters Controlling the Uranium Mineralization in the Ingall Sector, Tim Mersoï Basin (Northern Niger)

This study focuses on highlighting and controlling of uranium mineralization in the Ingall area (Northern Niger). The study sector is an integral part of the Tim Mersoï basin located to the northern part of the Iullemenden syneclise. Located on the western edge of the Aïr Massif, this basin, known for its uranium mineralizations, has a sedimentary filling ranging from Devonian to Lower Cretaceous. All the sedimentary formations of this basin end in a bevel on the western edge of the Aïr Massif. To carry out this study, the radiometric airborne geophysics technique was first deployed to highlight surface uranium anomalies. These were then verified by ground radiometry technique. The mapping work then identified the major geological structures that controlled the emplacement and distribution of the mineralization. Drilling and logging techniques were used to determine the mineralization host formations, the Assaouas and Tchirezrine-2. The results of this work show two envelopes of surface uranium anomalies at the 100 cps to 200 cps cut-off in the centre of the study area. These anomalies have a vertical extension to a maximum depth of 240 m, where highest values are located. This uranium mineralization occurs as lenticular ore bodies in the Ingall sector. Tectonic structures (normal faults), palaeogeography and chemical elements (reducing elements) are the main factors controlling the concentration and distribution of this mineralization. This study shows that this area, underestimated for decades, is potentially rich in uranium mineralization.
Short Video Recommendation based on Multilabel Learning and Multiview Representation

Abstract With the emergence of short videos as a new form of media, there has been a surge in the production of short video content by users on various platforms. The popularity of short videos stems from their ability to meet users' needs for diversified and fragmented content consumption. However, the abundance and complexity of short video data create challenges for video recommendation. Short videos contain rich multimodal information in both temporal and spatial dimensions. This feature makes users interested in videos in various forms: interested in the content of a particular shot of a video, interested in the storyline described in a video, interested in the music associated with a video, etc. Existing video recommendation systems only consider a single type of recommended content, and directly recommend videos to users as a whole, which does not meet the deeper needs of users. Short video contains different semantic content, and the results and methods of short video recommendation should not be limited to the overall video recommendation only. In this paper, we take advantage of the consistency of multi-view features for multimedia content understanding to obtain an eigenstable representation from the characteristics of short videos themselves. From the existing studies, video recommendation mainly focuses on the content or metadata of a single modality in the video, but ignores the multimodality of video content and the multi-perspective nature of recommendation strategies. In this paper, we take the advantage of the consistency of multi-modal features for multimedia content understanding to obtain an eigenstable representation, and extract the content of multiple modalities from the video for more comprehensive video content analysis, and fuse the information of each modality to realize a multi-perspective video recommendation method.
Research on Artificial Intelligence Detection Method of Lithium Battery Surface Defects for Production Line

&lt;p&gt;Lithium batteries are widely used in new energy vehicles and electronic equipment. Aiming at the typical defects that are easy to occur in the production process of lithium batteries, this paper improves the performance and recognition accuracy of the algorithm by integrating void convolution and attention mechanism into the YOLOv5 basic framework. At the same time, whale algorithm is used to automatically optimize the algorithm parameters in the process of optimization. Finally, through simulation experiments. This method realizes the rapid and accurate identification of lithium battery defects in the rapid production process of automatic production line.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
A Proposed Artificial Intelligence-Based System for Developing E-management Skills in Saudi Primary Schools

This study aims to investigate the impact of Artificial intelligence-driven solutions on school leaders’ proficiencies. Leaders have the responsibility of making decisions in educational institutions as well as carrying out routine tasks daily. Artificial intelligence-assisted applications have noteworthy contributions to the field of educational management. The scope of this study is limited to selected features; data analytics, chatbot, and e-survey. The basic design of this study started with analyzing literature in this domain. This was followed by designing a system consisting of four models: building a dashboard, predicting students’ results, creating a chatbot for responding to parents’ queries and creating an e-survey for measuring staff satisfaction. The participants of this study consist of 35 school leaders, whereas the sample was one group that was exposed to special treatment. A pre/post-test was conducted to examine the impact of the treatment, in addition to an observation card that was used to measure the treatment’s impact on the technical domains. The researchers used SPSS to analyze the study’s results. The prominent finding of this study is the significant impact of Artificial intelligence on leaders’ competencies; the difference between mean scores in both pre and post-test application and post-application for the observation card has proven the positive impact of the proposed treatment.
The Impact of HRM Practices on the Employee Intention to Stay in the Jordanian Telecommunications Companies

In Jordan telecommunications sector considered as one of the main contributors to the Jordan economic growth.Despite this achievement, telecommunication companies in Jordan face various challenges and issues.Employee intention to stay (ITS) is one of the challenges that telecommunication firms face, due to the high turnover rate of employees in Jordanian telecommunications companies over time.Particularly that identifying techniques to encourage employees to stay in the firm has become a key concern because staff retention is a problem that companies face due to the danger of excessive employee turnover.The phenomena alarmed the concern over the turnover issue of telecommunications sector.Employee turnover issue requires implementing good HRM (Human Resource Management) practices in delivering results at the employee level such as a reduction in the likelihood of employee turnover and an increase in their willingness to stay with the company.This paper deliberates the importance of adapting effective HRM practices (performance appraisal, compensation, and training and development practices) to strengthen employee's retention in the telecommunication companies in Jordan.
The Impact of HRM Practices on the Employee Retention in the Jordanian Plastic and Rubber Sector

One of Jordan's vibrant and varied industries is the plastics and rubber sector.This sector in Jordan has enjoyed a long and rich history in the region.Despite this achievement, Plastic and rubber companies in Jordan face various challenges and issues.Due to the high rate of employee turnover in plastic businesses over time, one of the challenges the plastic and rubber industry faces is employee retention.Moreover, finding ways to encourage employees to remain with the company has grown to be of particular importance as businesses struggle with staff retention due to the risk of high employee turnover.The phenomenon raised alarms about the plastic and rubber sector employee turnover problem.In order to address the employee turnover issue and produce results at the employee level, such as a decrease in the likelihood of employee turnover and an increase in their willingness to remain with the business, good HRM (Human Resource Management) practices must be implemented.In order to improve employee retention in Jordanian plastic and rubber enterprises, this paper discusses the significance of implementing effective HRM practices (job design and job security).This study aims at investigating the role of HRM (Human Resource Management) practices on employee retention in the Jordanian plastic and rubber sector.The study develops a conceptual model that links HRM practices (job design and job security) with employee retention in the Jordanian plastic and rubber enterprises.A self-administrated questionnaire has been designed as a data collection instrument.Using the purposive sampling design, 250 questionnaires will be distributed to employees in Jordanian plastic and rubber firms.Quantitative method has been adopted in the study such as descriptive analysis, regression models, and hypothesis testing methods.The expected findings will show that there is a significant effect of HRM dimensions on Jordanian plastic and rubber employees' intention to stay.Based on the study model, the study provides practical lessons in applying HRM methods to improve employees' intention to stay in the Jordanian plastic and rubber sector.