Search results

The purpose of this paper is to provide an educational overview of suicidal behavior and the factors related to suicidality among students between the ages of 18 and 30 years.

The literature related to suicide among students were identified through various electronic database searches. The databases searched included: PsycINFO, PubMed, MEDLINE, ERIC/ProQuest, Embase, Scopus, Google Scholar and PMC using the following search terms and their derivatives: suicide/self-harm, suicide risk and students, mental health issues and suicide, substance use and suicide, childhood adversities and suicide, recent life stressors, help-seeking attitude and elevated suicidal risk, help-seeking behavior and suicide and subjective factors and suicide.

Suicide is an important public health problem. Several factors influence suicide (including suicidal ideation and taking life or dying by suicide) such as genetics, family functions, socioeconomic status, personality and psychiatric comorbidity. The main themes that were investigated included: mental health issues, childhood adversity and recent life stressors, barriers toward seeking professional help and subjective factors (psychache risk of suicidal behavior, impulsivity, aggression).

This review focuses on several modifiable psychological factors that have been shown to contribute toward suicidal ideation in youth, especially among university students.

In artificial intelligence, the optical character recognition (OCR) is an active research area based on famous applications such as automation and transformation of printed documents into machine-readable text document. The major purpose of OCR in academia and banks is to achieve a significant performance to save storage space.

A novel technique is proposed for automated OCR based on multi-properties features fusion and selection. The features are fused using serially formulation and output passed to partial least square (PLS) based selection method. The selection is done based on the entropy fitness function. The final features are classified by an ensemble classifier.

The presented method was extensively tested on two datasets such as the authors proposed and Chars74k benchmark and achieved an accuracy of 91.2 and 99.9%. Comparing the results with existing techniques, it is found that the proposed method gives improved performance.

The technique presented in this work will help for license plate recognition and text conversion from a printed document to machine-readable.

This qualitative study deals with the career longevity phenomenon in the hospitality sector of Pakistan and aimed at exploring the factors which become the reason for continuing services in this sector for a longer period despite the prevailing perception of the short-term and unsatisfactory hospitality careers.

The study has taken up an interpretive social constructivism approach to carry out the research. The purposive sampling technique is used to solicit expert insights into the dynamics of the hospitality career. A thematic analysis was employed to identify the common themes, extract the meaning from the discussion patterns of the respondents, and outline viewpoints and ideas of the respondents.

The findings of the study are discussed at three levels of career, i.e. entry level, development level, and consolidation level. Long careers in the hospitality sector are a product of dedication and commitment to the job, professionalism, variety, complexity of the job, and healthy relationship with coworkers, supervisors, and guests.

The study links the belief of belonging and socialization attributes to the retention of employees in the hospitality sector jobs. Secondly, the study uses a qualitative approach to provide a diverse perspective of employee–industry loyalty rather than employee–organization loyalty. Thirdly, the study brings forth practical implications for personnel managers in the hospitality sector and proposes that the management should systematically stimulate the socialization of the workers to hold the talent despite providing workers with the opportunity to join another sector. Finally, the study informs about research limitations and directions for future research.

This paper aims to propose a novel splicing detection method using a discriminative robust local binary pattern (DRLBP) with a support vector machine (SVM). Reliable detection of image splicing is of growing interest due to the extensive utilization of digital images as a communication medium and the availability of powerful image processing tools. Image splicing is a commonly used forgery technique in which a region of an image is copied and pasted to a different image to hide the original contents of the image.

The structural changes caused due to splicing are robustly described by DRLBP. The changes caused by image forgery are localized, so as a first step, localized description is divided into overlapping blocks by providing an image as input. DRLBP descriptor is calculated for each block, and the feature vector is created by concatenation. Finally, features are passed to the SVM classifier to predict whether the image is genuine or forged.

The performance and robustness of the method are evaluated on public domain benchmark data sets and achieved 98.95% prediction accuracy. The results are compared with state-of-the-art image splicing finding approaches, and it shows that the performance of the proposed method is improved using the given technique.

The proposed method is using DRLBP, an efficient texture descriptor, which combines both corner and inside design detail in a single representation. It produces discriminative and compact features in such a way that there is no need for the feature selection process to drop the redundant and insignificant features.

The objective of this study was to look closely at how domestic violence is represented in Pakistani drama serials to see if portrayals are reinforcing stereotypical and/or patriarchal values, or breaking the rigid norms.

With the help of dispositive analysis within the critical discourse approach, the prominent and non-dominant discourses about domestic violence were identified and discussed. Episodes from two popular drama serials, Kaisa Yeh Naseeban and Khaas, released in 2019, were watched with special focus on texts on domestic violence alongside objects and actions.

Analysis showed that both drama serials gave importance to socio-systemic and liberal humanist instrumentalism discourses, which describe domestic violence as a result of social structures and that abuse is used to assert control, respectively. However, some instances were noted where patriarchal values were encouraged.

As media has become a powerful tool of influence and awareness in the recent times, it is imperative that the content watched on it by millions of people be studied and analyzed. It is claimed that Pakistani drama serials with wide following and that are made on social issues around women aim to raise awareness and empower them. Domestic violence is a prevalent issue in Pakistan, and no research till date has examined representation of domestic violence on Pakistani popular media, which may influence response to domestic violence, which this paper aims to do.

Creativity and innovation have been buzzwords of managerial discourse over the last few decades as they contribute to the long-term survival and competitiveness of firms. Given the non-linear, causally ambiguous, and intangible nature of all innovation-related phenomena, management scholars have been trying to uncover factors that contribute to creativity and innovation from multiple lenses ranging from organizational behavior at the micro-level to strategic management at the macro-level. Along with important and insightful developments in these research streams that evolved independently from one another, human resource management (HRM) research – especially from a strategic perspective – has only recently started to contribute to a better understanding of both creativity and innovation. The goal of this chapter is to review the contributions of strategic HRM research to an improved understanding of creativity at the individual-level and innovation at the firm-level. In organizing this review, the authors rely on the open innovation funnel as a metaphor to review research on both HRM practices and HRM systems that contribute to creativity and innovation. In the last section, the authors focus on more recent developments in HRM research that focus on ambidexterity – as a way for HRM to simultaneously facilitate exploration and exploitation. This chapter concludes with a discussion of future research directions.

This paper aims to delve into the factors influencing the adoption of Islamic Fintech and investigates the potential impact of Religious Orientation.

The study uses a questionnaire to collect data from 291 Jordanians, using Structural Equation Model – Partial Least Squares (SEM-PLS) to evaluate the research model and test hypotheses.

The outcomes of the Smart PLS path analysis revealed that several factors significantly influence the adoption of Islamic Fintech. Notably, perceived risk, financial literacy, trust and convenience were identified as pivotal determinants in shaping individuals' decisions to adopt Islamic Fintech. Additionally, the study unveils the noteworthy role of religious orientation as a moderator, impacting the relationship between perceived risk, financial literacy, trust and convenience concerning the adoption of Islamic Fintech.

This study contributes fresh insights to the existing literature concerning the adoption of Islamic Fintech, enhancing the understanding of the key drivers in this domain. Furthermore, it emphasizes the practical implications of religious orientation in shaping individuals' attitudes and behaviors pertaining to Islamic Fintech adoption.

This study aims to determine the effect of online social networks on university students’ environmentally responsible behavior (ERB). This research aimed to develop and test a behavioral model in the context of online social networks, where students’ attitudes, knowledge and behavior influence their ERB.

This study used a quasi-experiment with a pretest-posttest design and a random parallelization control group. The research used a questionnaire to assess ERB, environmental attitudes and environmental knowledge. The researcher randomly assigned 120 students to an experimental and a control group of equal size. Both groups initially completed a pretest. The experimental group was trained in environmental issues over four months (an academic semester) via an online social network.

The findings indicated that the social network had a significant effect on motivating ERB. Additionally, it improved environmental attitudes. According to the results, online social networks such as Facebook can significantly aid in teaching and learning environmental issues in formal academic settings.

Online social networks facilitated significant cognitive progress in environmental education. The primary objective is to educate students about ERB.

This study intends to examine the impact of a fear of coronavirus disease 2019 (COVID-19) on workers' career optimism via perceived job insecurity among non-managerial working restaurant employees.

Time-lagged quantitative data were collected in two waves from 316 non-managerial on-job restaurant employees. Structural equation modeling technique was applied to examine the measurement and structural model.

The study showed that workers' fear of COVID-19 positively impacts their job insecurity. Further, the study found that increasing level of job insecurity depletes workers' career optimism—an outlook of their future career prospects.

The study suggests organizations should work to make employees feel secure in terms of their job continuity and career progression. Eventually, this would support employees in shielding themselves against possible resource loss (e.g. career optimism) due to pandemic crises.

Extant literature has tested the impact of the COVID-19 pandemic on employees' workplace attitudes and behaviors such as job satisfaction (e.g. Bajrami et al., 2021) and safety performance (e.g. Kim et al., 2021). However, little has been researched on the impact of the COVID-19 pandemic on employees' future career outlook, particularly of non-essential workers in the hospitality industry. To the best of the author's knowledge, an explicit examination of the impact of COVID-19 fear on career optimism has not been conducted previously. Hence, this study will not only be a valuable contribution in the literature of career management, but will also yield important practical implications.

The present study aims to encompass the bidirectional magnetized flowing of a hybrid-nanofluid over an unsteady stretching device with the inclusion of thermal radiation and entropy generation. Brick-shaped nanoparticles (zinc-oxide and ceria) are suspended in water, serving as the base-fluid to observe the performance of the hybrid mixture. The Maxwell thermal conductivity relation is employed to link the thermophysical attributes of the hybrid mixture with the host liquid. Additionally, a heat source/sink term is incorporated in the energy balance to enhance the impact of the investigation. Both prescribed-surface-temperature (PST) and prescribed-heat-flux (PHF) conditions are applied to inspect the thermal performance of the hybrid nanofluid.

The transport equations in Cartesian configuration are transformed into ordinary differential equations (ODEs), and an efficient method, namely the Keller-Box method (KBM), is utilized to solve the transformed system. Postprocessing is conducted to visually represent the velocity profile, thermal distribution, skin-friction coefficients, Bejan number, Nusselt number and entropy generation function against the variations of the involved parameters.

It is observed that more entropy is generated due to the increases in temperature difference and radiation parameters. The Bejan number initially declines but then improves with higher estimations of unsteadiness and Hartmann number. Overall, the thermal performance of the system is developed for the PST scenario than the PHF scenario for different estimations of the involved constraints.

To the best of the authors' knowledge, no investigation has been reported yet that explains the bidirectional flow of a CeO2-ZnO/water hybrid nanofluid with the combined effects of prescribed thermal aspects (PST and PHF) and entropy generation.