ABSTRACT. A sentiment analysis tool interprets text chats and assesses each opinion’s style, purpose, and feeling. The tool can better understand the context of users’ discussions, allowing the client service team to classify client feedback accurately. This is especially valuable for companies that actively address clients' inquiries and complaints on social media, live chat, and email. De-spite its vitality for business, there is still a challenge to decide the sentiment behind the content, especially for the Arabic language. Although most are not available for public usage, many sentiment analysis models and tools are developed in the literature. However, there is a lack of research identifying these tools' practicality for the Arabic language. This paper investigates two pure online Arabic sentiment analysis tools by employing a sizeable Arabic dataset in the experiments. Prediction quality measurements were utilized to assess these tools. The yielded results recommended Sentest SA as a promised tool for detecting sentiment analysis polarity for the preprocessed Ara-bic social network contents.

ABSTRACT. Rapid advancement in technology and continuous environmental degradation has attracted the attention of practitioners toward sustainable solutions. This study aims to investigate educated millennial beliefs and behavior toward sustainable IT practices. The Theory of Planned Behavior (TPB) model deployed in the study was extended through perceived environmental responsibility. A survey was conducted to examine the sustainable IT adoption behavior of millennial in the National Capital Region, Delhi India. Variance based partial least square structure equation modeling was employed to evaluate the hypothesized model. Findings of the study confirm environmental concern (ER) a precursor for attitude (ATT), perceived behavioral control (PBC), and subjective norm (SN). Further, there is a significant positive influence of ATT, PBC, and SN on the adoption intention of sustainable IT practices, followed by the effect of adoption intention on actual adoption behavior. Study disseminates valuable insights to policymakers and marketers to formulate strategies and policies to attain sustainability through sustainable IT practices.

ABSTRACT. As industrial revolution 4.0 is introduced, many turn into the use of tech-nology and artificial intelligence in creating a new competitive advantage to business as well as create an automation that ease the operations. Consequently, it is vital for business to understand customers perception towards the use of AI and services robots. Thus, this study aims to investigate the relationship of eight items under three elements of the service robot acceptance model with the acceptance and intention to use service robots. The results of the study show that the perceived usefulness, trust and rapport are significantly related to acceptance of service robots, which in turn, positively related to intention to use them. Implications of the research findings are discussed.

ABSTRACT. The prevalence of the COVID-19 pandemic and the impact of lockdown initiatives to curb the spread of the disease have had a significant effect on daily human activities and the global economy in general, and the operations of the banking sector in particular. The aim of this current research is to identify the drivers of mobile banking usage intention among banking customers in Palestine during the current pandemic. For this purpose, a total of 290 people were surveyed using an electronic questionnaire. The study’s conceptual model was analyzed using structural equation modelling. The findings showed that Attitude significantly affects intention, the intention was revealed to significantly affect adoption, PBC significantly affects intention, PEOU does not significantly affect attitude, PR was also found to have no significant effect on intention, PU significantly affects attitude as well as intention, PEOU significantly affects PU, SN significantly affects intention, and finally, trust was revealed to significantly affect intention.

ABSTRACT. Research on e-wallet behaviour captured interest among scholars in recent years as a result of rapid changes in people spending patterns. This study aims to investigate e-wallet users continuance usage intention by incorporating SOR Theory. This study sheds light on the mediating role of satisfaction and attachment in the relationship between self-congruity and continuance intention to use the e-wallet. Through the use of a structured questionnaire, self-administered data collection reached out to 550 respondents across Malaysia. Respondents were chosen using a non-probability purposive sampling technique. 435 replies were evaluated in total. The analysis was conducted using SmartPLS version 3.3.5. The findings indicate that there is a positive relationship between satisfaction and attachment and intention to continue use. Additionally, the results proved that satisfaction and attachment sequentially mediated the relationship between self-congruity and continuance usage intention. The conclusions of this study are beneficial to all stakeholders in Malaysia's Fin-Tech business, particularly those in the e-wallet community.

ABSTRACT. Software requirements are ambiguous due to natural language and the natural language is generally ambiguous. The ambiguous requirements lead errors in software development. Therefore, there have been many approaches or techniques applied for detecting ambiguity in software requirements. This paper has selected three supervised machine learning algorithms with Bag of Words (BOW) features, which are Support Vector Machine (SVM), Random Forest and K-Nearest Neighbor (K-NN) for detecting syntactic ambiguities in software requirements. The summary of results showed that SVM achieved accuracy (80%), Random Forest attained (86.66%) and K-NN obtained (50%) respectively.

ABSTRACT. The Internet of things for smart home (IoT SH) technology is the latest technology for homes that integrates sensors, functional software, and network connections. However, the acceptance of IoT SH technology remain low. Hence, Information System (IS) researchers have shown interest in determining the theories and models that influence the acceptance of this technology. This study can assist IoT SH practitioners in enhancing the functionality and shortcomings of IoT products or services for smart homes in order to attract more users. Apart from identifying theories and models, this study will suggest a direction for future research. A systematic literature review was conducted to explore IoT SH by reviewing previous studies from 2018 to February 2022 with a total of 22 selected research papers. The results show that previous studies covered different technology acceptance theories related to IoT SH namely Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), Unified Theory of Acceptance and Use of Technology (UTAUT 2) and alternative theory to measure the factors. The findings of this review will aid academics, especially novice researchers in understanding the current trends and gaps, as well as future work for IoT SH research.

ABSTRACT. Smartness is continually impacting every territory. It is a huge component of industry, business, and society. User-technology relationship seeks to promote the creation of value for society. Though, this shift has been accompanied with global health crises. While the previous waves have ignored humans by focusing on machines, recent literature calls for a user-oriented approach to preparing an authentic social environment.

The reality of local communities is also changing and little is known about the perception of authenticity which is a driving force to generate digital contents.To handle this challenge, through the partial-least-squares (PLS), this paper aims to understand the interaction between trust, premium price, and user behavior. Findings underline the importance of authenticity and the use of its determinants can create a worldwide community helping to encourage content sharing that is very useful for the user-oriented digital strategies.

ABSTRACT. Making a data-driven decision is not just the forte of big business. Even small and medium businesses can benefit from big data. These days, companies are making adjustments to their business model to incorporate big data. Therefore, companies want to reap these fruits, big data set helps analyze and reveal trends, patterns, and correlations. as to whether the company is connected to the Internet or not, they need information that helps them to grow and prosper in their work, and here comes the role of big data. In the current research, the researcher discusses the factors that help to adopt big data in SMEs in Palestine. The researcher approached quantitative statistical analysis and (TOE) theory was adopted to build the study model. The measurement tool, which is the questionnaire, was built to collect data. The study consisted of 310. The SmartPls program was used to test the hypotheses. The results indicated that there is a significant relationship between technological, organizational, and environmental factors and the intention to adopt big data in SMEs in Palestine, except the governmental support.

ABSTRACT. The emergence in technology has changed business practices from a firms-centric model to a customer-centric model. Therefore, understanding the customer’s en-gagement in the online context has become a key competitive advantage for com-panies. Companies are adopting customer-centric online business models to achieve a competitive advantage. Online business models are helpful for compa-nies to save costs and time. Contrarywise it is difficult for companies to have face to face interaction with customers, which might be an obstacle for engaging cus-tomers in online webstores. Therefore, online interaction between companies and customers might lead the customer towards negative engagement. The aim of cur-rent research is to propose a conceptual model for webstores by incorporating both positive and negative engagement of the customer with a web-store, also called customer engagement valence (CEV) and its consequences. The qualitative research approach will be used to propose a model of customer engagement va-lence. The study will be useful to understand the unexplored aspects of CEV and its outcomes.

ABSTRACT. The purpose of this study was to determine the factors that influence both attitudes and behavioural intentions toward airline services via mobile check-in in East Malaysia. The intention of consumers to use mobile check-in for airline services was examined, as well as the role of attitude as a mediator between perceived usefulness, perceived ease of use, perceived trust, and perceived enjoyment. The study sampled 256 respondents using the snowball method and analysed them using PLS-SEM 3.0. Except for perceived ease of use, three of the four independent variables were found to have a positive ef-fect on attitudes toward mobile check-in services. The perceived usefulness of mobile check-in had no effect on behavioural intention to use airline ser-vices via mobile check-in. Additionally, perceived ease of use was found to be insignificant when it came to attitudes and behavioural intentions toward using mobile check-in for airline services. Meanwhile, it has been demon-strated that attitude serves as an ideal mediator between perceived enjoy-ment, perceived trust, perceived usefulness, and behavioural intention. The current study has several managerial implications for the airline industry, particularly for self-service operations. Limitations include the inability to generalise the findings of this study to other industries or country settings.

ABSTRACT. The passage of time has brought mankind to a seamless communication universe with informational technologies and social network sites (SNS). This study endeavours to examine the correlations between psychological distress and SNS among the general public. Five SNS needs were examined. A quantitative research design specifically a cross-sectional approach with a self-administered questionnaire was used to reach the pool of respondents. As symmetrical sampling is not the main concern in this study, the purposive sampling method was applied. A total of 210 responses were collected from Malaysians aged 18 and above. The findings reveal that overall psychological distress has led to the SNS needs with personal integrative needs (β = 0.332) emerged as the core needs followed by diversion need (β = 0.241), affective needs (β = 0.239), social interactive needs (β = 0.210) and cognitive needs (β = 0.197). While the bulk of the studies examines the use of SNS leading to psychological distress, the current study empirically relates psychological distress as the antecedents of SNS usage. The findings offer insights to the respective authorities and mental associations for drawing up recouping strategies and programs to cope with mental health issues via SNS.

ABSTRACT. A knowledge management process is a collection of practices that can work effectively to benefit academicians and foster innovation at Higher Education Institutions (HEI). With the advancement in Information, Communication, and Technology (ICT) capabilities, these institutions are presented with opportunities as well as challenges to keep up with knowledge management. Together with the emergence of Learning Management Systems (LMS), institutions have an unprecedented opportunity to facilitate and improve the quality of teaching-learning resources. Many researchers have investigated the Knowledge management process integration and its implementation in HEIs. Some have also examined the benefits of LMS implementation, the barriers, and underutilization. In addition, researchers are interested in analyzing the best teaching and content delivery methods associated with LMS implementation, such as blended learning environments that integrate online and face-to-face delivery methods. This systematic review investigates knowledge management integration in HEIs and emphasizes the blended learning environment by examining the implementation of the learning management system. The review analyzes 16 studies collected from different databases between 2012 and 2021 dealing with knowledge sharing, and to a lesser extent, with knowledge creation and knowledge acquisition. A key finding of the review was that the knowledge management process could enhance an institution's ability to innovate. Through KM and LMS, an institution can transform the traditional face-to-face environment into a blended, innovative, convenient, flexible, and student-centric mode of delivery, which leads to organizational and stakeholder performance improvements. Unfortunately, the review also identified that implementation to date is not as effective as it should be.

ABSTRACT. This study aimed to examine the influence of different contexts (word-initial and word-final phonemic contrasts) on perception ability among Yemeni learners of English-as-a-Second Language (ESL). The study also sought to ascertain the effect of Length of Residence (LOR) in Malaysia on the perception of selected phonemic contrasts in English by Yemeni ESL learners, as these contrasts are presented in different contexts (word-initial and word-final position). The Yemeni speakers who participated in this study were divided into two groups according to their LORs in Malaysia: group A (four months, short length of residence) and group B (three years, long length of residence). The results revealed a significant effect (P <0.05) for different contexts (word-initial and word-final) on the perception ability of all participants and between both groups; all participants performed better in word-initial position than in word-final position.

ABSTRACT. Entrepreneurs have viewed the foundation of the industries because they have given innovative business views that contributed to social and economic development. Besides, today with the expansion of entrepreneurship activities, more and more scholars have concentrated on the study of entrepreneurship. While undergraduate students have regularly considered potential entrepreneurs, entrepreneurial intentions have been the center variable to anticipate the university students’ entrepreneurial behavior. The former studies in the literature proposed factors that affected students’ entrepreneurial intention with various approaches. Yet, the traditional methods commonly disregarded the uncertainty associated with the selection of models. So, the outcome of model estimates might be biased and pointed to inaccurate inference in analyzing students’ entrepreneurial intention. In opposite, the Bayesian model averaging (BMA) approach was also one of the thorough methods for solving model uncertainty, which enabled the assessment of the strength of results to alternative terms by estimating posterior distributions over coefficients and models. Therefore, this paper applied a Bayesian model averaging (BMA) approach to select the best models for university students’ entrepreneurial intention. The finding through the BMA approach disclosed that there were the four best models for explaining the association between predictor variables and university students’ entrepreneurial intention.

ABSTRACT. Learning to programme is not easy. And so, for the last few years, many online environments have been developed to help kids acquire the coding skills needed in the 21st century in a fun and interactive way. This paper uses a mixed approach to investigate elementary students' performance in pro-gramming after engaging in a 2-week online programme using the Tynker platform. The data was collected through observations and surveys. Children used Blockly programming (Python-based) to create animated stories, collages, and games. At the end of the program, the learners were assessed by a multiple-choice quiz. Additionally, they created a project that covered all the concepts covered during the program. Successful examples from classroom observations are drawn to illustrate how students make practical use of the Tynker platform. Additionally, 117 closed-question surveys were analysed to determine the students' accurate perceptions about the coding and online platform. The interpretation of the findings implies that the students' programming knowledge acquisition follows a progressive path. However, the findings show that while all students learned the basics of coding, there were some differences in performance and understanding. This paper bridges the gap related to the insufficient attention in educational research towards teaching coding to primary students. The findings would help stakeholders to develop more capacity-building training programmes for young learners.

ABSTRACT. Cloud computing has led to the paradigm shift in information technology. However, its integration with the higher educational institutes remains a novel area to explore. The study aims to assess the adoption of Cloud-Based E-Learning in HEIs using DOI & FVM with the moderation of Information culture: A Conceptual Framework. A conceptual framework assimilates the Diffusion of Innovation theory & Fit-Viability model to fulfil the education-al needs. A cross-sectional study design was used undertaking 33 institu-tions, where a close-ended questionnaire was used for collecting primary da-ta. The gathered data were analyzed using Statistical Package for Social Sci-ences (SPSS). A significant impact of Relative Advantage (p = 0.04), Com-plexity (p = 0.00), Compatibility (p = 0.00), Trialability (p = 0.01), Observa-bility (p = 0.01), Task (p = 0.00), Technology (p = 0.00), and IT infrastruc-ture (p = 0.02) were found on student’s performance. Moreover, the impact of Economic (p = 0.60) and Organization (p = 0.70) was found to be insignif-icant. Also, information culture significantly moderated the relationship be-tween the adoption factors of Cloud-Based E-Learning in HEIs and Stu-dent’s Performance (p = 0.00). The study proves beneficial for the decision makers concerning their focus on the factors that can help in yielding better academic outcomes linked to the adoption of cloud computing for e-learning. Therefore, the study has concluded that Could-Computing factors influences the value and the student’s performance in HEIs in Oman. Also, the outcomes of the study highlighted the significance of the developed con-ceptual framework which serves as an introductory model for establishing an information culture within HEIs

ABSTRACT. With the rapid development of virtual reality technology, the demand for innovation and application of virtual reality technology in various fields of the country has grown rapidly, which also makes more scholars begin to explore its application prospects in the field of college education.However, at this stage, there is still a lack of application research and effect testing of the organic integration of virtual reality technology and college sports technology.In view of the limitations of this field and the practical needs of college sports difficulty technology,This paper investigates the basic situation of the application of virtual reality technology in sports technology teaching in 7 universities in Shaanxi, China by means of questionnaire survey and statistical analysis.Statistical analysis is made on the advantages of virtual reality technology in college sports technology, college sports students' motivation to participate in virtual reality technology, and students' psychological expectations for sports projects that require virtual reality technology.Finally, reasonable suggestions are put forward in view of the challenges existing in the application of virtual reality in college sports technology, aiming to provide more effective and interesting auxiliary teaching methods for college sports technology teaching.

ABSTRACT. The sudden closure of learning institutions due to the unprecedented COVID-19 pandemic has impacted education all over the world. With remote learning playing an increasingly important role in teaching during the pandemic, it is crucial to identify the variables that influence students’ behaviors in using online education. Framed within the Technology Acceptance Model, this study examined undergraduate students’ behavioral intention toward their remote learning experience at a federal higher education institution in the UAE. A random sample of 216 undergraduate students responded to an online survey. The results suggest that Perceived Ease of Use (PEU) and Perceived Usefulness (PU) positively impacted undergraduate students’ acceptance of remote learning. In addition, data analysis revealed no significant difference between male and female students’ attitudes to-wards remote learning. The results of this study are important to inform future efforts in facilitating institutional readiness for online education.

ABSTRACT. The aim of this study is to investigate the factors influencing nurses’ acceptance of a hospital information system. The study applied Technology Acceptance Model 3 (TAM-3) to explain behavioral intention to use the hospital information system. The research model was empirically tested on 302 nurses by using structural equation modelling (SEM). The results indicated that the subjective norm (SN), perceived ease of use (PEOU), and perceived usefulness (PU) were significant determinants of behavioral intention (BI). SN, image (IMG), job relevance (REL), output quality (OUT), results demonstrability (RES), and PEOU had significant effects on PU. Also, the computer self-efficacy (CSE), perception of external control (PEC), computer playfulness (PLAY), and enjoyment (ENJ) and computer anxiety (CANX) were significant determinants of PEOU. The research model explained 62% variance in the BI.

ABSTRACT. The quality of healthcare is highly dependent on nurses’ performance and efficiency. In recent years, hospital information systems (HIS), healthcare software and applications have been introduced to enhance their ability and nurses have a key role in accepting and evaluating the HIS. This study aimed to test psychometric properties and validation of a Persian version of the Health Information Technology Usability Evaluation Scale (Health-ITUES). Expert panel, which consisted of 10 nursing professors, assessed the face and content validity of the Persian Health-ITUES. Sample of the was 229 nurses employed in hospitals. Cronbach’s alpha was used to test reliability and confirmatory factor analysis (CFA) was used to test construct validity. Further, convergent and discriminant validity were evaluated. Content validity ratio (CVR) and content validity index (CVI) were .93 and .75, respectively. Item content validity index (I-CVI) and scale content validity index (S-CVI) were more than thresholds (.76 and .90, respectively). Goodness of fit indexes indicated that the measurement model was fitted to data well (χ2/df = 2.49, IFI = .939, CFI = .938, GFI = .903, RMSEA = .076). Cronbach’s alpha values of the factors and total scale were ranged between .75 and .94. The results indicated that Persian version of the health-ITUES is a valid and reliable instrument to measure information technology usability in nursing field. We recommend to researchers, health and nursing application developers to use iterative usability evaluation with HITUES to identify problems in early developing steps and address user-centered design.

ABSTRACT. Nowadays, e-learning has become significant in distance teaching. Nevertheless, factors influencing students’ behavioral intentions toward different e-learning platforms are still not well understood. This research-in progress aims to propose a conceptual framework that consider the key influencing factors that may enable or hinder the adoption of e-learning tools during the COVID-19 pandemic. Data will be collected from Sultan Qaboos University students by using an online survey to test the conceptual framework. The data gathered will be analyzed using structural equation modeling approach. This research-in-progress will help the decision makers formulate strategies to improve the adoption of online learning systems during the COVID-19 pandemic.

ABSTRACT. Big data is one of the most valuable assets for businesses seeking to reach the broadest possible customer base. Big data offers significant benefits to corporate financial reporting, increasing its reliability and objectivity and transitioning from periodic to real-time reporting. The purpose of this research is to reveal the effect of big data on profit prediction. The research also investigated the effect of innovative business intelligence techniques and blockchain, as to dimensions of big data, on the disclosure quality of financial reports. A case study was conducted on the data of HSBC bank, which comes from the social networking website (Facebook) as one of the big data sources, to investigate the extent of the ability of big data in the preparation of predictive financial reports accurate. In addition to that, A total of 121 valid questionnaires were tested statistically to investigate the relationship between big data dimensions on the Disclosure quality of financial reports. The research concluded that big data gives businesses a competitive advantage in terms of operational efficiency, risk reduction, cost reduction, and technical and nontechnical innovation. Firms that are able to utilize innovative business intelligence technologies and blockchain database solutions can meet the challenges of big data applications to collect and analyze data in real-time.

ABSTRACT. Green is now known for being environmentally friendly and energy-efficient, while sustainability aids in conserving and preserving natural resources and also the environment. Although the higher education institutes (HEI) in Malaysia play a critical part in providing a more sustainable place, by introducing green campus initiatives to provide a greener environment, however, the university staff’s high involvement in maintaining sustainability and green practices on the office side is still questionable. Therefore, this project is developed mainly to propose a green office management system dashboard (GOMASH) as an initiative to practice green inside faculty as well as to analyze the paper usage and reduce the total amount of paper wastage inside the office. Furthermore, GOMASH also provides paper limit suggestions to reduce the paper wastage in the office with a goal of sustainability. Agile methodology is adopted as the software development life cycle (SDLC) of GOMASH where the process iteratively caters for the requirements of the users which makes way for improvement of the system by using a deductive approach with a general idea that GOMASH helps develop green awareness among users to reduce wastage of paper. This paper provides a conceptual and empirical study on the amount of paper wastage in faculty that is observed at the beginning of the development and the data collected from the application is then analyzed and visualized in a dashboard. All modules have been tested using software test description (STD) to make sure GOMASH is validated and verified and found appropriate to be implemented in order to improve green office management practice for sustainable organization

ABSTRACT. The pandemic of Covid-19 has changed the lifestyle of people nowadays. Students has to adapt to the new norms in which everyone need to rely on the digital mediums to interact with others. The main purpose of this study is to investigate the influence of social media use on the connectedness in terms of level of social connectedness among the university students in Malaysia during this pandemic of Covid-19. It also aims to identify whether there is significant relationship between the purposes of social media use (i.e., academic, socialization, entertainment and informativeness) and the level of social connectedness in social relationship. The gender differences between social media use and social connectedness also been tested. A set of questionnaires that consisted three sections: demographic profile, online social networking usage questionnaire and social connectedness were distributed through snowball sampling method via the online platforms. There were 300 respondents were recruited in this study with the mean age (M = 22.26). The collected data was analysed using descriptive test, Pearson correlation test and independent t-test using IBM SPSS Statistics Version 27.0. The results indicates that there was no significant relationship between social media usage time and social connectedness. However, there was significant relationship between the purposes of social media usage such as the purpose for academic, entertainment, socialization and informativeness with social connectedness. On the other hand, there were no differences between females and males on social media use and social connectedness on the online setting. In conclusion, this study highlights that the use of social media with purposes such as education, socialization, entertainment, and obtaining information would enhance the social relationship with a higher level of social connectedness.

ABSTRACT. This document conceptualizes the intertwined nexus of intellectual capital and firm performance. The work also focuses on managerial ownership for moderating the effect between intellectual capital and performance. The alluded conceptual framework is valid for overall industries. This work uses a population of the Malaysian oil and gas industry. The census sampling technique is used. Based on prior studies and resource-based view theory, the study argues that the rise in organization value is directly related to the increased investment in intellectual capital. Besides, the document uses agency theory for conceptualizing managerial ownership for its multiplying effect between intellectual capital and performance. The study proposes a renowned “VAIC” model for computing intellectual capital. The document uses three performance indicators from management, shareholders, and the market perspective. The study provides essential intuitions to policymakers and practitioners on the crucial application of intellectual capital in value creation and providing a competitive advantage to the firms.

ABSTRACT. Data mining is a classification technique that can be used to handle large volumes of data. Hence, data mining has evolved as an excellent solution for large agricultural datasets. This is partly because it can predict categorical class labels, classify data based on training set and class labels, and it can also evaluate new data. In agricultural production, farmers and agribusiness representatives need to make daily decisions. However, accurate yield estimate of the various crops related to the planning is a critical issue for agricultural plannings. Data mining technique is therefore required for achieving realistic and effective outcomes. The aim of this study is to classify different data features and implement various algorithms as it relates to agricultural big data. Additionally, a given dataset is preprocessed to ensure that relevant data is present in all datasets. Algorithms such as Rule JRIP, Tree LBT, and Naive Bayes are implemented. Then, the Mean Absolute Error (MAE) and Relative Absolute Error (RAE) were compared, and the performance error of the resulting classification algorithm is performed on each dataset. The overall results indicates that JRIP has the highest efficiency with a value of 96%. This is followed by Naive Bayes which has 84% efficiency, whereas tree LMT has 78% efficiency. The result of this study can help to advance current research, as well as benefit future research in the agricultural sector.

ABSTRACT. In the last decades, people headed to build smart homes to increase the security surrounding the homes and to prevent unauthorized users from entering secure places without permission based on using biometrics and many sensors. The Ultrasonic Sensor is one of the sensors that has widely been used to detect and measure the distance precisely of any intruder or object by using ultrasonic sound waves, and it’s considered as a low-cost system to build home IDS. By exploiting the home IDS vulnerabilities the attackers can overcontrol the home and easily enter for different goals such as stealing, damaging their property, violating their privacy using only a single attack. Also, by exploiting the home IDS vulnerabilities the attackers can spread different attacks across the home IDS. Enhancing the security using smart technologies will not be enough, homeowners must use detection and prevention techniques and methods to reduce the effect of the possible attacks and prevent them from occurring. This paper addresses the detection of intruders in homes, the possible attacks on home IDS, and how to mitigate them as well.

ABSTRACT. Covid-19 (Coronavirus) hits the world with wildness, affecting various sectors of life. The whole world has united to confront the virus, and different vaccines were developed to vaccinate the largest possible percentage as an effort to reach community immunity to limit its spread. Governments seek to measure public opinion about vaccination campaigns to improve the quality of services provided. One of the most effective ways to do this is to use artificial intelligence to sense and analyze what the public is posting on social media such as Twitter to ensure that their opinion is known without bias. The study aims to measure public acceptance of vaccination against Covid-19 disease by using sentiment analysis combined with deep learning as a technique that ensures access to people's opinions quickly and at a very low cost. The results of this study showed that most people are having a positive opinion on the vaccination with different percentages vary from one vaccine type to another.

ABSTRACT. Passwords play a major role in securing various applications. It is used for authentication in Operating system login, web services, ATM machines and many more. Even though we educate the end users to choose a complex password, there are several attacks that can break through such password. In this paper, we provide a comparative analysis of USB based and software-based attacks on passwords. We provide a comparison of various types of software-based attacks, USB based attacks and tools used for password attacks. As Windows is the most popular Operating system, our implementation is based on Windows OS.

ABSTRACT. Social media is widely used in universities for academic purposes. But there is a lack of how students are affected by social media, such as cyber-crime victimization, which is understudied by universities. This study in-tends to investigate the relation between social networking and cybercrime victimisation among university students. It identifies illegal behaviours carried via computers or other internet-connected devices. These illegal be-haviours range from institutional hacking to individual victimisation. In this paper, questionnaires were given to Sultan Qaboos University students of various ages. Finding out why and how personal attributes, social net-works, user technical efficacy, and online bullying risk. The study found that consumers with high use capacity are more likely to be targets and vic-tims of cybercrime. Regulating multifunction Social Networking services SNS (like Facebook) use and victimisation have a mathematically essential relationship. Also, online victimisation and business social networking sites have statistically significant positive links (such as LinkedIn). Final-ly, cyberbullying requires social media awareness because social media sites and services save personal data.

ABSTRACT. In this paper we have studied Left Ventricular Hypertrophy (LVH) and Right Ventricular Hypertrophy (RVH) of heart from Electro Cardiogram (ECG) Graph using fractional calculus. An ECG is a rough or unreachable curve which is continuous everywhere but non-differentiable at some points or all points where classical calculus fails. Our purpose of this paper is to find left and right fractional derivatives at those non-differentiable points and then predict LVH and RVH by calculating the phase transition values (absolute difference of left and right fractional derivatives). Fractal dimension and Hurst exponents of V1, V2, V5 and V6 leads of the ECG’s have been calculated for both problematic and normal ECG’s. All such measures will help doctors to diagnose LVH and RVH from ECG in more accurate manner as compared to the other techniques.

ABSTRACT. A new technology called cloud computing has revolutionized the way ser-vices are delivered to businesses and consumers. As an online service, it of-fers a variety of options to registered users. Quality of service (QoS) re-quirements must be reached in order for the customer to be completely satis-fied. As a result of its impact on other issues faced by cloud users and pro-viders alike, QoS-aware resource allocation is the most essential issue in re-source allocation. There is no effective solution that meets both the needs of the service provider and the consumer, yet it is still regarded a difficulty by many. This study's goal is to reduce the amount of time it takes to complete a work in the cloud, which should lead to better overall performance. The social spider algorithm (SSA) is presented to map resources with the suitable job in order to fulfill the specified objectives and handle the complexity of the resource allocation issue. In order to simulate spider foraging behavior, SSA created an algorithm. It focuses on the spider, its prey, and the strength of its vibrations. This is how a victim gets out of the spider web: by attempt-ing to release itself from the web, which creates vibrations in the web. At that point, every spider in that web was able to pick up on the vibration. The more fit the sufferer is, the greater the strength of the vibrations. Vibration intensity created on the web determines the victim's potential. In the cloud, the job is the spider, and the resource is the prey. In terms of resource fit-ness, task fitness is seen as the ability to make effective use of available re-sources. Using DEV-C++ to construct the suggested technique, tests have shown that it saves execution time by up to 10% while simultaneously im-proving service quality. As a consequence of comparisons with SSCWA, the proposed framework decreases execution time by up to 20%, improves throughput by 10%, and makes optimum use of cloud resources by using these resources to their full potential. Resource reliability and other quality-of-service (QoS) metrics may be added into the total performance in future work, as well

ABSTRACT. The exponential growth of Information and Communication Technologies (ICT) has made it possible to distribute content in more ubiquitous and simple ways. ICTs have contributed to the rise of User-Generated Content (UGC) platforms, which have become essential in maritime navigation, supporting systems and applications. Nonetheless, it is important to under-stand how the interface’s design is conceived in most of these systems, meeting usability heuristics to assist the navigator’s decision-making and prevent human error. This article aims to compare and analyze a set of technological systems and mobile applications that aim to promote the maritime information sharing and aid the navigation, based on a set of Usability Heuristics and guide-lines of the International Maritime Organization (IMO). Furthermore, this analysis has provided the relevance of Human-Computer Interaction (HCI) as a field to aid decision making and prevent human error in maritime navi-gation systems.

ABSTRACT. Since its inception, social media has disruptively transformed consumers’ consumption patterns. Social media's unique attributes that allow consumers to voice their opinion and engage in multi-way social conversations with various stakeholders have encouraged them to engage in co-creation activities on social media. However, the participation among the elderlies in the social media co-creation activities remains minimal to date. This study aims to examine the influence of risk and functional barriers in explaining the resistance toward co-creation activities on social media among the elderly. The moderating role of perceived trust was also investigated in the proposed relationships. The data was gathered from 356 respondents using a self-administered online questionnaire. The study presents the importance of functional barriers (e.g., incompatibility and perceived complexity) and risk barriers (e.g., privacy risk and security risk) in influencing elderlies' resistance to social media co-creation activities. The research findings and implications are discussed.

ABSTRACT. The late-2019 Covid-19 outbreak has shifted global attention to social media. Governments used social media to raise public health awareness. However, the internet was flooded with disinformation and conspiracy theories, among other things. This condition may cause unwarranted alarm, compromising the health system and damaging the mental health of social media users, especially young people who dominate the internet population. The function of social media in spreading fear during this epidemic must be investigated. This study's goal is to see how social media might spread fear among Malaysian young people. Fake news, mental health, anxiety, public behaviour changes, and information sharing are highly associated with panic behaviour. The study results' implications are examined.

ABSTRACT. This study aims to study the evolution of self-regulation skills when adopting B-learning schemes among undergraduate students, using a sample of 68 students who use a blended learning strategy. This study was designed as a longitudinal study to grasp the evolution of self-regulation skills among learners over a one year of adopting blended learning classes. Repeated measures ANOVA design has been used to analyze the longitudinal data over three waves survey. Repeated measure ANOVA was used to test the change of the groups’ mean over time. The data of the study has been collected through three waves from the undergraduate students. The three waves of data collection were spaced four months apart. The study found that help-seeking and self-evolution have evolved significantly while the environment structuring, goal setting, time management, or task strategies skills didn't evolve significantly. The study has come up with practical recommendations of how to improve the interaction between learners and the blended learning scheme

ABSTRACT. This study aims to find the impact of self-efficacy, Reputation, Reciprocity, Altruism, and Enjoyment on the online knowledge sharing among employees. The study was conducted in the banking sector. The data collected from Four private banks, Smart-PLS., has analyzed 187 valid questionnaires. The Results indicated that self-efficacy, Reputation, Reciprocity, Altruism, and Enjoyment have a positive and significant impact on online Knowledge sharing among bank employees. Therefore, banks should establish a conducive online knowledge-sharing environment to encourage reciprocal connections and interpersonal interactions among employees. Employees that actively participate in knowledge exchange are encouraged, which helps to stimulate reciprocal online knowledge sharing behavior.