Reviewerly/exHarmony huggingface dataset:
Educational Supply Chain Management: A View on Professional Development Success in Malaysia

The industrial environment is unpredictably shifting. Technology advancements and pandemics force the corporate environment to evolve even faster in order to stay competitive and thrive. As a result, in today's fast-paced business environment, supply chain management has grown in popularity. The study's major goal is to apply the concept of industrial supply chain management to educational management. The empirical study will be conducted separately and do not cover in this paper. In dynamic and uncertain business operations, the educational model is more appropriate to switch from mass production delivery to industrial experiences in building individual talent excellence. This minimizes the educator's knowledge and experiences delivery gap to the learner in the educational supply chain. From the issues, This study identifies the education attributes and how it affects professional development success. This study further investigates the moderating effect of industrial experiences on the relationship between education attributes and professional development success. Besides, this study aims to propose an educational supply chain model (EduSCM) for 21st-century professional development success in Malaysia higher education to gain competitive advantages. To achieve the objectives, mixed methods research design is proposed. The qualitative data collection will be collected after the completion of quantitative data analysis. The data collected from the interview use to explain, interpret, understand, and triangulate the results of quantitative analysis to produce a potent conclusion. Lastly, this study will provide a unique conceptual diagram expected to aid researchers and practitioners to create a more comprehensive understanding of the linkages between learning competencies, industrial experiences, and professional development.
Linear Discrimination Analysis Using Image Processing Optimization

When we talk about Machinery Vision and Deep Learning, we often talk about algorithms. In fact, mathematical models with computer knowledge are the basis of how we deal with graphical data to process the Image and make decision. Machine learning can play an important role in determining agricultural plant type in order to optimize the harvesting steps in an automated way. How to process and introduce the products to the market often requires detailed information about the stages of planting and harvesting. In addition, by using this method, sophisticated research can be designed in plant genetics and effect of environmental variables on the end product. The ultimate goal of this work is to use Linear Discrimination Analysis for the Image Processing and classification of harvested wheat grain which are belonged to different types of grain namely Rosa, Kama and Canadian. The above discovery has proved with the statistics to have with more than 94% of accuracy.
Introduction

In this chapter, some historical comments are made about the developments on conventional censoring schemes, viz., Type-I and Type-II censoring schemes. Then, formal definitions and some basic properties are provided for data obtained from both these censoring schemes, as well as a comparison of their expected termination times. A detailed review of the historical literature on hybrid censoring schemes is then provided, explaining various inferential results developed under these censoring schemes. Finally, the extensive literature that has developed on hybrid censoring, especially in the last two decades, and the need for a study of hybrid censoring schemes are both described.
The Influence of Social Media Networking Platforms on Promoting EFL Learners’ Lexical Competence Repertoire: An Exploratory Study

Language learning is significantly influenced by social media. The growth of social media has become an international phenomenon. People now spend the majority of their time on online services like social networking. These social media platforms give students access to effective learning tools including automated learning and visualisation techniques. Using social media to learn English is engaging and inspiring. This study focuses on how social media enables people to automatically or unintentionally learn English fluently. All second-year students at the AL-Maymona secondary schools for boys in Missan, Iraq, for the academic year 2017–2018 make up the population of this study. There are two courses at the college: A and B, each having 51 and 52 pupils, respectively. The experimental group, Class A, was selected at random. Facebook was the social media platform used to teach students at the EG. With regard to the CG, students were instructed utilising the methods suggested by the required textbook, English Grammar in Use. The researcher taught both the EG and the CG. The study results include that the EG has more achievement and better performance in English vocabulary than those who took the traditional method. It can be concluded that using social media platforms serves the educational and instructional settings for both teacher and learners. Those social media support and increase the performance of the study sample based on the current procedures. The researcher recommends using and adopting social media networking platforms in educational environments because they support and enhance the teaching and learning results and they are fruitful as teaching strategies in the educational process.
The Impact of Marketing, Technology and Security Orientations on Customer Orientation: A Case Study in Jordan

The aims of this study are multifold: to explore the functionality of hotel websites by performing a content review and to evaluate customer opinions on the value of the design of hotel websites. To perform the study, hotel websites were used to include numerical and visual information. Information providers are assessed by an evaluation of their particular and comprehensive expertise measurements. The research is based on two significant aspects: a report on all 37 five-star hotels in Jordan that examines their website layout in terms of population, and a survey of 100 hotel clients to determine how clients interpret hotel websites. This planned study is the first of its sort, seeking to determine an appraisal method for all hotel measurements provided by hotel websites. The findings are as follows: When value T = 7.519 reflects the results of the independent variable (marketing orientation), the coefficient of simple linear regression has statistical significance (Customer Orientation). The fact that “Aqaba Zone Advertising and Customer Orientation Classified Hotels have a statistically significant influence on their categorization” is acknowledged, as “Aqaba Zone Advertising and Customer Orientation Classified Hotels have a substantial impact on the coefficient of simple linear regression equation (0.605)”. As a result, hotel management may utilize a particular predictive evaluation model to analyze the websites of their hotels from a two-sided perspective: the management team and the consumers. This analysis brings together claims from both perspectives for the first time (hotel managers and clients).
Sustaining Competitive Advantage During COVID-19 Pandemic: A Study of Aerospace Manufacturing Industry in Malaysia

This study is one of the very few studies investigating the aerospace manufacturing industries hit severely by the coronavirus (COVID-19) pandemic, focusing on one of Malaysia's aerospace players. In addition, this study emphasises how an action is engaged to minimise or overcome the impact and effectiveness of strategic moves. PLS-SEM method is used to analyse data gathered from a survey. 30 leadership and executives have been chosen in this survey. Through a comprehensive literature study and survey, this paper presents a guide that illustrates general concepts and processes execution, allowing strategic management personnel to comprehend their market position and identify their long-term objectives. It is an approach to sustained competitive advantages by deliberate internal and external influences towards the change that scribe the marketplace competitive advantage landscape.
Combining Supervisory Control and Data Acquisition (SCADA) with Artificial Intelligence (AI) as a Video Management System

The latest Video management systems (VMS) software relies on CCTV surveillance systems that can monitor a larger number of cameras and sites more efficiently. In this paper, we study the utilization of SCADA to control a network of surveillance IP cameras. Therefore, the video data are acquired from IP cameras, stored and processed, and then transmitted and remotely controlled via SCADA. Such SCADA application will be very useful in VMS in general and in large integrated security networks in particular. In fact, modern VMS are progressively doped with artificial intelligence (AI) and machine learning (ML) algorithms, to improve their performance and detestability in a wide range of control and security applications. In this chapter, we have discussed the utilization of existing SCADA cores, to implement highly efficient VMS systems, with minimum development time. We have shown that such SCADA-based VMS programs can easily incubate AI and deep ML algorithms. We have also shown that the harmonic utilization of neural networks algorithms (NNA) in the software core will lead to an unprecedented performance in terms of motion detection speed and other smart analytics as well as system availability.
The Impact of Social Media on Literature

Literature is one of society’s broad and significant elements because it shows how people interact and socialize. The objective of literature is education and entertainment through songs, poems, stories, and drama. However, a challenge that limits production and access to literary content is media. Traditionally, media used to convey literature material, such as books, television, radio, and theatres were limited to people who could afford or access venues. Consequently, the spread of literary content was limited to specific areas. However, media and information technology advancement has created a paradigm shift in the production and dissemination of literary content. This research evaluated the effects of media advancement in enhancing literature’s production, dissemination, and consumption. Importantly, this research will explain the types of media technology and how they affect literature. Literature has experienced changes because media provides advanced methods of producing and disseminating literary content. There is a significant difference between literature produced during the Elizabethan era and the industrialization period and those produced in the digital age. Writing technology was the earliest approach to generating literature, and this has evolved into digital technology that generates audio-visual content. Media has also influenced the globalization of literature by enabling access to literary works across countries and cultures. Media technology has simplified the production of literature and provided digital channels for showcasing literary work, making digital a significant contributor to social and economic development. Media development has supported advancement in literature.
Surveillance with UAV Videos

Unmanned aerial vehicles (UAVs) and drones are now accessible to everyone and are widely used in civilian and military fields. In military applications, UAVs can be used in border surveillance to detect or track any moving object/target. The challenge of processing UAV images is the unpredictable background motions due to camera movement and small target sizes. In this chapter, a short literature brief will be discussed for moving object detection and long-term object tracking. Publicly available datasets in the literature are introduced. General approaches and success rates in the proposed methods are evaluated and approach to how deep learning-based solutions can be used together with classical methods are discussed. In addition to the methods in the literature for moving object detection problems, possible solution approaches for the challenges are also shared.
Particle Swarm Optimization

The procedure is to obtain the best solution for the certain parameters in the given network to satisfy every requirement for design by considering the smallest affordable cost will be considered as an optimization. Optimization traditional approach will have some constraints like, outcome of single-based, local optima convergence, problems in unknown search space. To overcome the above constraints, many research organizations have established various metaheuristics to search optimization solutions for unsolved issues. The main intend to explain the Particle Swarm Optimization algorithm (PSOA) is to explain the stochastic optimization approach basics. Motivation of this Particle Swarm Optimization algorithm (PSOA) is to develop a strong metaheuristic optimization solution which is inspired natural swarm behavior like schooling of birds and fishes. PSOA is a simplified social network simulation. The final intent of this PSOA is a graphical representation and graphical simulate smoothly but undefined bird or fish flock’s directions. Every bird’s vicinity of observability is restricted to some area. Though having many birds permits every bird in the swarm fitness function to be bigger surface concerned. Mathematically every Particle Swarm Optimization algorithm (PSOA) has associated with fitness value, velocity, and position. Memory of maintaining global fitness, best position, and global fitness value.
Using Many Objective Bat Algorithms for Solving Many Objective Nonlinear Functions

In this paper, we have relied on the dominant control system as an important tool in building the group of leaders because it allows leaders to contain less dense areas, avoid local areas, and produce a more compact and diverse Pareto front. Nine standard nonlinear functions yielded this result. MaBAT/R2 appears to be more efficient than MOEAD, NSGAII, MPSOD, and SPEA2. MATLAB was used to generate all the results of the proposed method and other methods in the same field of work.
Students’ English Language Usage of Facebook during the Covid-19 Pandemic

Social network sites such as Facebook are constantly experiencing enormous changes, arousing the attention of many researchers who wish to integrate technology into education and create innovative methods in English Language Teaching; several technological devices can facilitate teaching and serve learners’ needs. Therefore, teachers started to use and adopt modern techniques in education, mainly because of the pandemic of covid-19and, thus making the teaching process safe and effective. The current study aims to investigate students’ perceptions of using Facebook to enhance their learning during an acute crisis. The main questions that established the research work are what are the students’ perceptions of using Facebook to enhance their learning? What are the benefits of Facebook during the pandemic of covid-19? To answer these questions, the researcher conducted a case study of 2nd year English as Foreign Language students in the English Department at Tlemcen University, Algeria. The researcher used two research instruments to collect data; a questionnaire addressed to the students and a structured interview administered to the English teachers. Findings revealed that Facebook adoption has a significant positive relationship with usefulness and ease of use; there was also a considerable influence of Facebook adoption on educational usage. Additionally, both teachers and students stated that Facebook could improve students’ academic performance, and recognized its importance during this crisis period in making teaching and learning more accessible and productive. Based on the findings, the researcher made some recommendations about using Facebook in education, and future research can deal with more communities.
Effectiveness of Introducing Artificial Intelligence in the Curricula and Teaching Methods

This research examined educators’ perceptions of the effectiveness of introducing artificial intelligence (A.I.) and expert systems into the curricula and teaching methods of higher educational institutions in the United Arab Emirates. Ninety-three faculty members in various departments of UAE colleges of education completed a questionnaire assessing the impacts of Artificial Intelligence on students’ creativity, problem-solving skills, data were analyzed to identify differences based on gender, educational qualification, and experience. The results of t-tests and ANOVA analysis revealed that participants had overall positive attitudes toward introducing A.I. and expert systems into the curricula and teaching methods. Although no differences were found based on gender or experience, statistically significant differences were associated with academic qualifications, whereby participants with master's degrees gave higher ratings than those with doctorates. Based on the findings, introducing A.I. and expert systems into higher education curricula and teaching methods is recommended.
A Roadmap for SMEs to Adopt an AI Based Cyber Threat Intelligence

Cybersecurity has started to become the most significant concern among organizations as the number of threats and criminal activities in the past decade has increased exponentially. Cybercriminals and their attacking techniques have become increasingly sophisticated over the past couple of years. Conventional security measures will no longer be able to detect and mitigate the propagation of such advanced attacking trends. More and more hackers have started focusing on Small and medium-sized enterprises (SMEs) taking advantage of their limited resources. Therefore, SMEs will have to quickly adopt Artificial Intelligence (AI) based cybersecurity system in their infrastructure to defend themselves effectively and efficiently. It is currently forecasted that by 2021, 75% of all organizations will use AI and Machine learning (ML) applications in their security architecture to protect against all cyber threats. In this paper, the researchers identify the various challenges faced by SMEs in adopting an AI based cybersecurity due to their knowledge gap and lack of expertise. The researcher intends to provide a good background on AI, Cyber Threat Intelligence (CTI) and highlight some of the significant benefits provided by an AI based CTI system. A simple roadmap is developed using a qualitative research methodology to help SMEs effectively implement an AI based Cyber Threat Intelligent system in their infrastructure.
A Trial to Improve Program Management in Government Bodies Through Focusing on Program Resource Management: Cases from UAE

Improving a program management in government bodies is a critical aspect, and this research paper demonstrates a thesis on Program Resource Management and its process to the success of government bodies’ roles. The qualitative methodology in this paper studies the program management several aspects in terms of resource management and its effect on the success of the government sector's programs in UAE. The study covers program management's impact on the sectors and issues in government sectors in relation to the lack of professionals and its effect on the availability and clarity of the senior management career paths. The research paper addressed the main problem in program resource management and its wide effects. Similarly, the data gathered to cover the same thesis to compare and analyze the government bodies’ key results and finding. The researchers have been addressed the impacts of resource management on the program management in the government sector. Since resources are always allocated and utilized with a proper record being kept in the government sector, this research analyzes the issues in the government sector. It was estimated that the program managers lack a professional community within the federal government that can provide support and a voice on issues affecting the development of program management in the sector. This give rise to several concerns which are need to be addressed and the research will be on providing a solution to this problem. Alongside that, the research pointed out that the government-wide job series for program managers that spans business functions with a career path that extends into senior career executive management ranks is full of flaws. There is a lack of credibility and quality at the level of the management which manages the resources. The research also allowed the researchers to carry out the SWOT analysis on program resource management. This will allow to identify the major threats and the opportunities which the field has for the young aspirants in the future. The researchers’ main focus is on to identify the major problems in the program resource management. The aim has been to identify these issues and then propose proper and sustainable solutions for them to ensure employees and management make better use of the resources either in the program or project. The issues like managing resource allocations, choosing the right career path and lack of training and development are a few to name which the research has discussed in detail. The aim has been to evaluate these issues by ensuring that they are analyzed from the perspective of the employees as well as the management.
Can Better Capabilities Lead to Better Project and Program Governance? Cases from Dubai

This paper addresses how to improve project and program governance through improving process and infrastructure, resources and stakeholders, organization and culture, and leadership and decision making. A brief overview of the theoretical background of these four governance capabilities is presented. The research approach is described along with three case studies from local government entities in the UAE have been analyzed. The data collected revealed that there is a gap in project/program governance implementation within the chosen organizations for this study. The paper suggested some approaches to improve the four capabilities that can contribute to creating and enhancing the current governance structure utilized across the organizations for achieving better project execution and program benefit outcomes.
The Impact of Innovative Leadership on the Strategic Intelligence in the Insurance Companies in Jordan

The aim of the study was to examine the impact of innovative leadership practices on strategic intelligence in insurance companies in Jordan. Data were primarily gathered through the questionnaires which were distributed to the managers of the different levels. In total, (256) responses were received including (18) invalid to statistical analysis due to uncompleted or inaccurate. Hence, the final questionnaires contained (238) responses suitable to analysis requirements. Structural equation modeling (SEM) was conducted to test hypotheses. The results showed that all innovative leadership dimensions have a positive impact relationship on strategic intelligence except changeability which has no impact on Strategic Intelligence. Based on the study results, managers and decision makers of insurance companies have to instill enthusiasm and courage in employees, allowing them to express themselves more freely, with follow-up to identify complaints that may arise from a lack of knowledge or a lack of coordination or integration between departments and units at the institutional level.