Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.

To diagnose an illness in healthcare, doctors typically conduct physical exams and review the patient's medical history, followed by diagnostic tests and procedures to determine the underlying cause of symptoms. Chronic kidney disease (CKD) is currently the leading cause of death, with a rapidly increasing number of patients, resulting in 1.7 million deaths annually.

Effects of Half-Somersault and Brandt-Daroff exercise on dizziness, fear of fall and quality of life in patients with posterior canal benign paroxysmal positional vertigo: A randomised control trial.

The aim of this study was to compare the effects of Half-Somersault and Brandt-Daroff exercises on dizziness, fear of fall, and quality of life in patients with posterior canal benign paroxysmal positional vertigo (PC-BPPV). This study was conducted from July 2020 to November 2020. A total of 20 patients were enrolled in the study, through sealed envelope method, and assigned to two groups, A and B (10 in each).

Telehealth for COVID-19: A Conceptual Framework.

The world has been going through the global crisis of the coronavirus (COVID-19). It is a challenging situation for every country to tackle its healthcare system. COVID-19 spreads through physical contact with COVID-positive patients and causes potential damage to the country's health and economy system.

A Multimodal Network Security Framework for Healthcare Based on Deep Learning.

As the network is closely related to people's daily life, network security has become an important factor affecting the physical and mental health of human beings. Network flow classification is the foundation of network security. It is the basis for providing various network services such as network security maintenance, network monitoring, and network quality of service (QoS).

Student-Performulator: Predicting Students' Academic Performance at Secondary and Intermediate Level Using Machine Learning.

Forecasting academic performance of student has been a substantial research inquest in the Educational Data-Mining that utilizes Machine-learning (ML) procedures to probe the data of educational setups. Quantifying student academic performance is challenging because academic performance of students hinges on several factors. The in hand research work focuses on students' grade and marks prediction utilizing supervised ML approaches.

Evaluation of potential bacterial protease inhibitor properties of selected hydroxyquinoline derivatives: an docking and molecular dynamics simulation approach.

Antimicrobial drug resistance (AMR) is a severe global threat to public health. The increasing emergence of drug-resistant bacteria requires the discovery of novel antibacterial agents. Quinoline derivatives have previously been reported to exhibit antimalarial, antiviral, antitumor, antiulcer, antioxidant and, most interestingly, antibacterial properties.

Detection of linezolid resistance cfr gene among MRSA isolates.

Background: Linezolid (Oxazolidinones) is commonly used against a variety of Gram-positive infections, especially methicillin-resistant Staphylococcus aureus (MRSA). The emerging resistance to linezolid curtail the treatment of infections caused by MRSA and other Gram-positive bacteria. Presence of cfr gene plays a crucial role in Linezolid resistance.

Shame: Does It Fit in the Workplace? Examining Supervisor Negative Feedback Effect on Task Performance.

Purpose: One of the most exciting aspects of organisational psychology is the study of shame and the factors that lead up to it. The purpose of this study was to examine the relation between supervisor negative feedback and task performance. Further, we examined the mediating role of shame between supervisor negative feedback and task performance and the moderating role of self-esteem.

Free Space Optics Transmission Performance Enhancement for Sustaining 5G High Capacity Data Services.

Enhanced bandwidth issues for 5G system are fruitfully resolved by organizing free space optics (FSO) communication frameworks. The high bandwidth, the maximum number of channel transmission requirements, and high data rate have been boosted during the last years because of the COVID-19 pandemic. The online services and digital applications have increased pressure on installed optical network models.

Do green supply chain management practices improve organizational resilience during the COVID-19 crisis? A survival analysis of global firms.

This study investigates whether green supply chain management (GSCM) practices help companies to be resilient against the buffer effect in the context of COVID-19. Building on the instrumental version of stakeholder theory, companies implementing GSCM practices should build environmental skills and competitive advantage to cope with a crisis caused by supply chain disruptions. Our survival analysis, conducted on 5,696 firms headquartered in 35 countries, shows clear evidence that GSCM companies' market prices recover quickly from the shock.

Unpaid leave on COVID-19: The impact of psychological breach contract on emotional exhaustion: The mediating role of job distrust and insecurity.

This research intends to increase awareness of the existence of psychological breach contracts on emotional exhaustion in the context of a prolonged COVID-19 pandemic, with the function of organizational distrust (OD) and job insecurity (JI) serving as mediating factors. We used partial least squares structural equation modeling (PLS-SEM) to look at the 437 questionnaires that private sector workers in Pakistan filled out during the COVID-19 outbreak. The findings of direct and indirect effects show that (PBC) psychological breach contract directly leads to emotional exhaustion (EH) and has a significant indirect relationship through job insecurity (JI).

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.

Mutual Coupling Reduction through Defected Ground Structure in Circularly Polarized, Dielectric Resonator-Based MIMO Antennas for Sub-6 GHz 5G Applications.

This paper describes a singly-fed circularly polarized rectangular dielectric resonator antenna (RDRA) for MIMO and 5G Sub 6 GHz applications. Circular polarization was achieved for both ports using a novel-shaped conformal metal strip. To improve the isolation between the radiators, a "S" shaped defective ground plane structure (DGPS) was used.

How Does Servant Leadership Influences Creativity? Enhancing Employee Creativity Creative Process Engagement and Knowledge Sharing.

Grounding on social exchange theory and using the creative process engagement as a lens, this article study investigates the influence of servant leadership on employee creativity. In addition, the research examines the role of knowledge sharing in the link between servant leadership and employee creativity. Time lag method was used to collect the data from 242 employees and 57 managers employed in Chinese publicly listed companies.

Gastronomic Tourism and Tourist Motivation: Exploring Northern Areas of Pakistan.

Gastronomic tourism is becoming an essential consideration among tourists when choosing a tourist destination. One of the main reasons for visiting a specific destination for almost 15% of tourists is "gastronomy". This has led to the development of a new kind of tourism called "Gastronomic Tourism".

Servant Leadership Behavior at Workplace and Knowledge Hoarding: A Moderation Mediation Examination.

Servant leadership practice honesty, stewardship, and high moral standards while prioritizing the needs of subordinates. The moral concern of a servant leadership is to support others and put the needs of others first. We investigated the relationship between servant leadership, psychological safety, and knowledge hoarding in accordance with social learning theory in a survey of 347 workers across 56 teams.

An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks.

The roots of Wireless Sensor Networks (WSNs) are tracked back to US military developments, and, currently, WSNs have paved their way into a vast domain of civil applications, especially environmental, critical infrastructure, habitat monitoring, etc. In the majority of these applications, WSNs have been deployed to monitor critical and inaccessible terrains; however, due to their unique and resource-constrained nature, WSNs face many design and deployment challenges in these difficult-to-access working environments, including connectivity maintenance, topology management, reliability, etc. However, for WSNs, topology management and connectivity still remain a major concern in WSNs that hampers their operations, with a direct impact on the overall application performance of WSNs.

Does Servant Leadership Control Psychological Distress in Crisis? Moderation and Mediation Mechanism.

Purpose: This study aims to investigate the impact of servant leadership on the psychological distress of healthcare staff during the Covid-19 crisis. The authors propose that work engagement mediates and mindfulness moderates the direct relationship between servant leadership and psychological distress.

Methods: Time-lagged data were collected from 277 healthcare staff working at different hospitals in Pakistan.

Linking Ethical Leadership to Followers' Knowledge Sharing: Mediating Role of Psychological Ownership and Moderating Role of Professional Commitment.

This study examined (1) the influence of ethical leadership on knowledge sharing, (2) the mediating role of psychological ownership, and (3) the moderating effect of professional commitment between ethical leadership (EL) and knowledge sharing (KS). Data were collected from 307 public listed Pakistani companies' employees. Statistical analyses were performed by using SPSS Version 25 and AMOS version 22.

Examining Whistleblowing Intention: The Influence of Rationalization on Wrongdoing and Threat of Retaliation.

Whistleblowers who expose wrongdoing often face several concerns, pressures, and threats of retaliation before reaching a final decision. Specifically, this study examines the effects of perceived seriousness of wrongdoing (PSW) and perceived threat of retaliation (PTR), as well as the impact of rationalization (RNL), comparing perceived seriousness of wrongdoing, perceived threat of retaliation and whistleblowing intention. Furthermore, this study aims to determine the mediating effect of anticipated regret (AR) on the relationship between perceived seriousness of wrongdoing and whistleblowing intention.

A structure-based virtual screening and molecular docking by using potent inhibitors against nucleoprotein of .

Background & Objectives: Crimean-Congo Hemorrhagic Fever Virus (CCHFV) is a vector borne pathogen, well-known for causing endemic hemorrhagic fever in Asia, Europe and Africa. There is no specific drug or vaccine available against CCHFV. The recent upsurge of Crimean-Congo Hemorrhagic Fever around the globe has made it a major health issue and this demands investigation for specific inhibitors to viral proteins.

Deep Learning Approach for Automatic Microaneurysms Detection.

In diabetic retinopathy (DR), the early signs that may lead the eyesight towards complete vision loss are considered as microaneurysms (MAs). The shape of these MAs is almost circular, and they have a darkish color and are tiny in size, which means they may be missed by manual analysis of ophthalmologists. In this case, accurate early detection of microaneurysms is helpful to cure DR before non-reversible blindness.

Towards Examining the Link Between Workplace Spirituality and Workforce Agility: Exploring Higher Educational Institutions.

Purpose: Spiritual inherited employees quickly shift to new changes that occur very quickly in our daily lives in different ways. We are inspired by the dynamic changes in our daily lives due to the Covid 19 situation, an urgent need to specify the shift from the traditional approach to the agile approach during a pandemic. This study aimed to figure out the effect of workplace spirituality on workforce agility; further, this study underpinning spillover theory to examine the role of job involvement as a mediator.

An Efficient and Secure Revocation-Enabled Attribute-Based Access Control for eHealth in Smart Society.

The ever-growing ecosystem of the Internet of Things (IoT) integrating with the ever-evolving wireless communication technology paves the way for adopting new applications in a smart society. The core concept of smart society emphasizes utilizing information and communication technology (ICT) infrastructure to improve every aspect of life. Among the variety of smart services, eHealth is at the forefront of these promises.