Why fossil fuels stifle green economic growth? An environmental management perspective in assessing the spatial spillover impact of energy consumption in South Asia.

Amidst escalating environmental challenges, the imperative for sustainable development and environmental preservation has become central in contemporary discourse. Where the consumption of fossil fuels poses a significant threat to the global sustainability, the global shift towards renewable energy sources is recognized as a key strategy for nations to confront climate change, enhance economic prosperity, and contribute to global sustainability by promoting green economic growth. In this context, our study makes a momentous contribution to the existing disclosure by investigating the impact of renewable and non-renewable energy consumption on the green economic growth of, not only in the implementing country, but also on the surrounding economies across the South Asian Region.

Coupling Taguchi experimental designs with deep adaptive learning enhanced AI process models for experimental cost savings in manufacturing process development.

The Aluminum alloy AA7075 workpiece material is observed under dry finishing turning operation. This work is an investigation reporting promising potential of deep adaptive learning enhanced artificial intelligence process models for L (63) Taguchi orthogonal array experiments and major cost saving potential in machining process optimization. Six different tool inserts are used as categorical parameter along with three continuous operational parameters i.

Rare craniofacial clefts: Surgical management protocols.

Background: Standardization of surgical protocols is an evolving issue owing to the low incidence of rare craniofacial clefts. In this article, we present our surgical management technique for repair of rare craniofacial clefts and evaluate the postoperative results.

Methods: This study was conducted from 2013 to 2022 and included patients who presented with craniofacial clefts.

Competitiveness of citrus export and its determinants: a two-way fixed effect panel data model approach.

Pakistan has a conducive condition for the development of a wide range of scrumptious fruits. As a result, the country grows a diverse assortment of tropical and subtropical fruits; the most prized and top-ranked fruit among all fruits grown in Pakistan is citrus. Citrus is the principal fruit that contributes significantly to Pakistan's export earnings and national income.

Envisaging the intention and adoption of electronic health applications among middle-aged and older adults: Evidence from an emerging economy.

Technology plays a substantial role in our daily lives, and the spread of COVID-19 paves the way for the use of healthcare technologies to manage health in the comfort of our homes. Middle-aged and older adults face health issues and require instant healthcare advice and support. Electronic healthcare (EH) applications have emerged to facilitate middle-aged and older adults receiving healthcare support instantly while remaining in their homes.

Modelling the significance of food delivery service quality on customer satisfaction and reuse intention.

The millions-worth revenue derived from large-scale food delivery characterises the service as a relatively established phenomenon with potential growth. The current cross-sectional research examined online food delivery service quality on consumer satisfaction and reuse intention. Service quality was divided into seven categories (i.

Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy.

The rising demand for plant-based meat (PBM) has the potential to minimize environmental degradation and save the lives of numerous animals. Furthermore, the intention to consume eco-friendly products triggers people to consume PBM. However, it is essential to understand the factors that influence consumer intentions and actual PBM consumption to enhance its adoption.

The Risk of Herpes Zoster Events in Patients with Spondyloarthritis and the Effect of BNT162b2 mRNA COVID-19 Vaccine.

The data on the risk of herpes zoster (HZ) in spondyloarthropathy (SpA) patients are sparse, especially regarding its association with the novel mRNA COVID-19 vaccines and immunosuppressants. We aimed to evaluate whether SpA diagnosis and/or immunosuppressant use affect HZ risk and the influence of mRNA COVID-19 vaccination. We assessed the association between SpA (psoriatic arthritis (PsA) and ankylosing spondylitis (AS)) diagnoses and HZ in a large population database with patients matched by age and sex to controls.

Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits.

Urine culture is often considered the gold standard for detecting the presence of bacteria in the urine. Since culture is expensive and often requires 24-48 hours, clinicians often rely on urine dipstick test, which is considerably cheaper than culture and provides instant results. Despite its ease of use, urine dipstick test may lack sensitivity and specificity.

Households food consumption pattern in Pakistan: Evidence from recent household integrated economic survey.

The analysis of food consumption pattern is a primary concern of any developing country because it is related with food security. Pakistan is one of the emerging nations of the developing world. Due to the similarities and differences in households' food consumption behavior, income distribution, the effects of alternative tax structures, cost-benefit analyses, and the choice of cost of living index, the study of households' food consumption pattern is crucial for a developing nation like Pakistan.

Exploring the mass adoption potential of wearable fitness devices in Malaysia.

Objective: The current study explores the formation of an intention to use wearable fitness devices (WFDs) with wearable fitness attributes and health consciousness (HCS). Moreover, the research examines the use of WFDs with the health motivation (HMT) and intention to use WFDs. The study also exposes the moderating effect of HMT between the intention to use WFDs and the use of WFDs.

Suprachoroidal injection of triamcinolone acetonide for management of resistant diabetic macular oedema.

Objective: To estimate the effects and safety of suprachoroidal triamcinolone acetonide injections in treating patients with resistant diabetic macular oedema.

Methods: The quasi-experimental study was conducted at the Isra Postgraduate Institute of Ophthalmology, Al-Ibrahim Eye Hospital, Karachi, from November 2019 to March 2020, and adult patients of either gender with uncontrolled diabetes mellitus. Central macular thickness, intraocular pressure and best corrected visual acuity were recorded at baseline, and the patients were followed up at one and three months after the suprachoroidal triamcinolone acetonide injection and post-intervention parameters were compared.

Fourier transformation based texture analysis for differentiating between hyperplastic polyps and sessile serrated adenomas.

Colorectal cancer (CRC) is the third most common type of cancer. One major pathway involved in the development of CRC is the serrated pathway. Colorectal polyps can be divided in benign, like small hyperplastic polyps and premalignant polyps, like the sessile serrated adenomas (SSA) that has a significant potential of malignant transformation.

Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach.

The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the health conditions of senior adults and reducing the burden on healthcare institutions. The study explored the effect of health improvement expectancy, effort expectancy, price value, perceived vulnerability, health consciousness, and perceived reliability on the intention and adoption of medical wearable devices (MWD) among senior adults in China.

Modelling the significance of website quality and online reviews to predict the intention and usage of online hotel booking platforms.

Innovative technologies are paving the way for the online purchase of products and services. The COVID-19 also harness online shopping and hotel booking in the post-COVID-19 era. Online hotel booking is becoming the norm among young consumers.

COVID-19 preventive behavior among university students in Southeast Asia: Effects of knowledge, concern, awareness, and perceived risk.

The persistent rise of pandemics across the globe in recent times has led to the prescription of several collaborative preventive strategies to reduce the effect that the pandemic has on public health. Consistent monitoring and surveillance appear to be the only available approach to detecting and classifying the issues of public health threats. Global pandemic threats demand public co-operation to take preventive actions at a personal level so that the risk of infectious diseases can be contained.

Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods.

The smart wearable device is a new breed of mobile device that offers diversified utilities for health, sport, and finance for consumers worldwide. The current study aims to investigate the provocation of the intention to use smart wearable payment devices among Malaysian consumers. The unified theory of technology acceptance and use of technology (UTAUT) was employed with the cross-sectional survey-based data to explain the adoption of the smart wearable payment device.

Customer retention through service quality and satisfaction: using hybrid SEM-neural network analysis approach.

Mobile commerce is a developing phenomenon, youth worldwide utilising the platform that provides flexibility, ease, and convenience of online shopping through mobile devices. The study investigates the influence of mobile commerce service quality dimensions on the perception of service quality and customer satisfaction. Satisfaction in Mobile commerce promotes the revisit intention among the customer.

Spatial green growth in China: exploring the positive role of investment in the treatment of industrial pollution.

The industrial sector of China is critical to the country's economic growth. On the other side, industrialisation has resulted in a high rate of emissions, pushing China to spend extensively on industrial pollution remediation. As a result, this study looks at the relationship between investment completed in the treatment of industrial pollution and economic development.

How health motivation moderates the effect of intention and usage of wearable medical devices? An empirical study in Malaysia.

Mobile technology is popular because it facilitates users in multiple ways. This technology is revolutionising the healthcare industry, and mobile-based wearable medical devices (WMDs) are becoming common. Technology adoption is always challenging, and technology value is based on the technology attributes and personal inclination towards using the technology.

Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach.

Wearable payment devices (WPD) are gaining acceptance fast and transforming everyday life and commercial operations in China. Limited research works were conducted on customers' adoption intentions to obtain a real image of the evolution of WPD in China. This study aims to investigate the effects of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Perceived Trust (PT), and Lifestyle Compatibility (LC) on the intention to adopt WPD among Chinese consumers by expanding unified theory of acceptance and use of technology with two impelling determinants (i.

Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis.

Wearable fitness devices (WFDs) are prevalent personal technology that empowers the users' management and supervision of their personal health. The current study explored the impact of health consciousness, health motivation, perceived cost, compatibility, usefulness, and perceived technology accuracy with the intention to use the WFDs. Furthermore, the users' conspicuous consumption and intention promote the usage of WFDs.

Modeling the Significance of Motivation on Job Satisfaction and Performance Among the Academicians: The Use of Hybrid Structural Equation Modeling-Artificial Neural Network Analysis.

The competition in higher education has increased, while lecturers are involved in multiple assignments that include teaching, research and publication, consultancy, and community services. The demanding nature of academia leads to excessive work load and stress among academicians in higher education. Notably, offering the right motivational mix could lead to job satisfaction and performance.

Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic.

Clinical evidence suggests that some patients diagnosed with coronavirus disease 2019 (COVID-19) experience a variety of complications associated with significant morbidity, especially in severe cases during the initial spread of the pandemic. To support early interventions, we propose a machine learning system that predicts the risk of developing multiple complications. We processed data collected from 3,352 patient encounters admitted to 18 facilities between April 1 and April 30, 2020, in Abu Dhabi (AD), United Arab Emirates.