The Mediating Role of Emotional Exhaustion in the Relationship between Abusive Supervision and Employee Cyberloafing Behaviour.

Cyberloafing is becoming a common problem in every organization that directly affects organizational productivity. In this study we are going to study the influence of abusive supervision on cyberloafing, further, we are studying the mediating effect of emotional exhaustion generated due to abusive supervision behaviour, motivating employees towards cyberloafing. The data were collected from 150 employees working in Saif Textile Mills Ltd & Kohat Textile Mills Ltd, Pakistan through questionnaires. The study sample was drawn using a convenience sampling technique. This study used SPSS 25 and process Hayes (2013) model 4 for data analysis and for model fitness we used CFA (AMOS 22). The data findings demonstrate that abusive supervision significantly and positively affects cyberloafing and also emotional exhaustion mediates this relation significantly. Therefore we conclude that abusive supervision is the main factor for employees to be exhausted and ultimately move towards cyberloafing. Based on these finding managers plays a vital role to maintain organization environment friendly

Implementation of lightweight machine learning-based intrusion detection system on IoT devices of smart homes

Smart home devices, also known as IoT devices, provide significant convenience; however, they also present opportunities for attackers to jeopardize homeowners’ security and privacy. Securing these IoT devices is a formidable challenge because of their limited computational resources. Machine learning-based intrusion detection systems (IDSs) have been implemented on the edge and the cloud; however, IDSs have not been embedded in IoT devices. To address this, we propose a novel machine learning-based two-layered IDS for smart home IoT devices, enhancing accuracy and computational efficiency. The first layer of the proposed IDS is deployed on a microcontroller-based smart thermostat, which uploads the data to a website hosted on a cloud server. The second layer of the IDS is deployed on the cloud side for classification of attacks. The proposed IDS can detect the threats with an accuracy of 99.50% at cloud level (multiclassification). For real-time testing, we implemented the Raspberry Pi 4-based adversary to generate a dataset for man-in-the-middle (MITM) and denial of service (DoS) attacks on smart thermostats. The results show that the XGBoost-based IDS detects MITM and DoS attacks in 3.51 ms on a smart thermostat with an accuracy of 97.59%.</p

A systematic review of quantitative studies exploring staff views on antipsychotic use in residents with dementia in care homes

Despite significant warnings of adverse effects, antipsychotics continue to be prescribed for managing the behavioural and psychological symptoms of dementia (BPSD) in care homes. Information provided by staff working within care homes is a factor that can influence prescribing decisions in residents with BPSD. The review aimed to capture care home staff views towards antipsychotics for residents with BPSD and separately analyse tools utilized in the studies, mapping them onto the theory of planned behaviour (TPB). A comprehensive literature search published in ten databases was conducted between May and July 2020 and updated in July 2021. Studies published in full with no date restriction were included and quality assessed using CROSS checklist. A thematic framework approach was applied to extract data and study tools which were then mapped onto the TPB. Fourteen studies (2059 participants) were included. Findings identified four overarching themes: attitudes toward antipsychotics (e.g. antipsychotics as an appropriate strategy and effectiveness); barriers to deprescribing (e.g. lower staff education, lack of resources and time, poor medication reviews); measures implemented (e.g. nonpharmacological interventions, medication reviews); and perceived needs of staff (e.g. need for training, financial or clinical support). Identified tools addressed seven but not all components of TPB namely, behavioural, normative and control beliefs, attitude, perceived behavioural control, intention and behaviour. The positive attitudes toward antipsychotics, the identified barriers to deprescribing and the existing tools not addressing all components of the TPB provide the impetus for further research

Person–Job Misfit: Perceived Overqualification and Counterproductive Work Behavior

Grounding on person–job fit theory, we examined perceived overqualification relation with counterproductive work behavior (CWB) by identifying job boredom as a mediator and job crafting as a moderator. Hierarchical linear regression and Hayes’ PROCESS macro-method were used to assess hypotheses in a three-wave survey of 317 textile sector employees. The findings show that perceived overqualification is positively related with CWBs. This study further examined the mediating function of job boredom and the moderating impact of job crafting in the association between perceived overqualification and CWB. The findings suggest that job crafting moderates the positive relation between perceived overqualification and job boredom and the indirect connection between perceived overqualification and CWB via job boredom. The model was tested using 3-wave data; however, since the data were attained from a single source, questions of common method bias cannot be ruled out. Managers should look for changes in employee attitudes and promptly modify employees’ positions when they indicate that they have more experience, abilities, and talents required for their roles in their organizations

Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

SummaryBackground Azithromycin has been proposed as a treatment for COVID-19 on the basis of its immunomodulatoryactions. We aimed to evaluate the safety and efficacy of azithromycin in patients admitted to hospital with COVID-19.Methods In this randomised, controlled, open-label, adaptive platform trial (Randomised Evaluation of COVID-19Therapy [RECOVERY]), several possible treatments were compared with usual care in patients admitted to hospitalwith COVID-19 in the UK. The trial is underway at 176 hospitals in the UK. Eligible and consenting patients wererandomly allocated to either usual standard of care alone or usual standard of care plus azithromycin 500 mg once perday by mouth or intravenously for 10 days or until discharge (or allocation to one of the other RECOVERY treatmentgroups). Patients were assigned via web-based simple (unstratified) randomisation with allocation concealment andwere twice as likely to be randomly assigned to usual care than to any of the active treatment groups. Participants andlocal study staff were not masked to the allocated treatment, but all others involved in the trial were masked to theoutcome data during the trial. The primary outcome was 28-day all-cause mortality, assessed in the intention-to-treatpopulation. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936.Findings Between April 7 and Nov 27, 2020, of 16 442 patients enrolled in the RECOVERY trial, 9433 (57%) wereeligible and 7763 were included in the assessment of azithromycin. The mean age of these study participants was65·3 years (SD 15·7) and approximately a third were women (2944 [38%] of 7763). 2582 patients were randomlyallocated to receive azithromycin and 5181 patients were randomly allocated to usual care alone. Overall,561 (22%) patients allocated to azithromycin and 1162 (22%) patients allocated to usual care died within 28 days(rate ratio 0·97, 95% CI 0·87–1·07; p=0·50). No significant difference was seen in duration of hospital stay (median10 days [IQR 5 to >28] vs 11 days [5 to >28]) or the proportion of patients discharged from hospital alive within 28 days(rate ratio 1·04, 95% CI 0·98–1·10; p=0·19). Among those not on invasive mechanical ventilation at baseline, nosignificant difference was seen in the proportion meeting the composite endpoint of invasive mechanical ventilationor death (risk ratio 0·95, 95% CI 0·87–1·03; p=0·24).Interpretation In patients admitted to hospital with COVID-19, azithromycin did not improve survival or otherprespecified clinical outcomes. Azithromycin use in patients admitted to hospital with COVID-19 should be restrictedto patients in whom there is a clear antimicrobial indication

Thermodynamic consequences of well-known regular black holes under modified first law

We modify the first law of thermodynamics of regular black hole of the non-minimal Einstein–Yang–Mill theory with gauge field of magnetic Wu–Yang type and a regular black hole which is associated with the cosmological constant by the surface tensions. The corresponding Smarr relations are also satisfied for them. We calculate the Gibbs free energy to discuss the global stability of the black holes. It is found that Gibbs free energy exhibits the positive behavior in most of the cases which leads to globally thermodynamically stability of both black holes

An Adaptive M-Learning Usability Model for Facilitating M-Learning for Slow Learners

Mobile devices have evolved from communication tools to versatile platforms for various purposes, including learning. Usability is crucial for practical mobile learning applications, ensuring ease of use and expected performance. However, existing research on mobile educational apps has primarily focused on typical learners, neglecting the specific requirements of slow learners who face cognitive limitations. In this work, we fill this research gap by proposing an adaptable learning-oriented usability model (ALUM) for mobile learning apps specifically tailored to support slow learners. The research conducts a detailed usability analysis and systematic review to identify the problems users face and investigate how slow learners respond to learning apps in terms of efficiency, effectiveness, satisfaction, and learning outcomes. Twenty-four participants classified as slow learners evaluated the usability of 25 HTML-based learning apps. The evaluation revealed critical deficiencies in existing learning apps concerning the needs of slow learners, particularly in user-friendliness and learnability, leading to their dissatisfaction. We propose a model that leverages a hybrid recommendation system to address these challenges. The model incorporates a navigational graph, ontology, and item matrix to provide personalized topic recommendations, tailoring the content and delivery of educational materials based on individual needs and preferences. By enhancing the learning experience for slow learners, the proposed model aims to improve their learning outcomes. This research bridges the gap between academic research and practical applications in interactive mobile technologies. The adaptable learning-oriented usability model presented in this paper offers a framework for supporting slow learners, emphasizing its essential components and their interactions to enhance the learning outcomes for this user group

Factors associated with safe and successful postoperative day 1 discharge after lung operations: A systematic review and meta-analysis

Background: A shorter length of stay (LOS) is associated with fewer hospital-acquired adverse conditions and decreased utilization of hospital resources. While modern perioperative care protocols have enabled some ambitious surgical teams to achieve discharge as early as within postoperative day 1 (POD1), most other teams remain cautious about such an approach due to the perceived risk of missing postoperative complications and increased readmission rates. We aimed to identify factors that would help guide surgical teams aiming for safe and successful POD1 discharge after lung resection.Methods: We searched the PubMed, Embase, Scopus, Web of Science and CENTRAL databases for articles comparing perioperative characteristics in patients discharged within POD1 (DWPOD1) and after POD1 (DAPOD1) following lung resection. Meta-analysis was performed using a random-effects model.Results: We included eight retrospective cohort studies with a total of 216,887 patients, of which 22,250 (10.3%) patients were DWPOD1. Our meta-analysis showed that younger patients, those without cardiovascular and respiratory comorbidities, and those with better preoperative pulmonary function are more likely to qualify for DWPOD1. Certain operative factors, such as a minimally invasive approach, shorter operations, and sublobar resections, also favor DWPOD1. DWPOD1 appears to be safe, with comparable 30-day mortality and readmission rates, and significantly less postoperative morbidity than DAPOD1.Conclusions: In select patients with a favorable preoperative profile, DWPOD1 after lung resection can be achieved successfully and without increased risk of adverse outcomes such as postoperative morbidity, mortality, or readmissions