Integrating work and sleep to understand work-life balance among healthcare professionals: A conservation of resources perspective.

Healthcare professionals sacrifice their sleep for increased patient care. However, this could be detrimental to their selves and the quality of healthcare service. This study used the Conservation of Resources Theory (COR) to examine the integration between the workaholic tendency of healthcare professionals and their daily sleep deprivation to determine the extent of their self-balance.

Optimizing agricultural data security: harnessing IoT and AI with Latency Aware Accuracy Index (LAAI).

The integration of Internet of Things (IoT) and artificial intelligence (AI) technologies into modern agriculture has profound implications on data collection, management, and decision-making processes. However, ensuring the security of agricultural data has consistently posed a significant challenge. This study presents a novel evaluation metric titled Latency Aware Accuracy Index (LAAI) for the purpose of optimizing data security in the agricultural sector.

How to decouple tourism growth from carbon emission? A panel data from China and tourist nations.

A pervasive threat regarding human health, ecological balance, progress, and sustainability marks the current era. Many nations are grappling with the consequences of the overabundance of carbon emissions from a wide range of destructive human activities, which is the primary driver of air pollution, global warming, and warming. Thus, while some countries are squandering their riches, others are making great strides to keep the environment clean and green so that future generations may thrive.

National income accounting attributes and economic welfare. Evidence from Pakistan.

Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal.

Assessing the influence of tourism development, via renewable energy and green finance in achieving high-quality economic development.

This study empirically examines the influence of tourism development, renewable energy and green finance (GF) on high-quality economic development. Using data from 33 years of data in China from 1990 to 2022, this study applies Gregory Hansen analysis to investigate the relationships between tourism development (TD), renewable energy (RE), green finance, and high-quality economic development (HQED), and accepts a Spatial auto regressive. This study demonstrates that tourism development plays a crucial role in promoting high-quality economic growth by positively impacting all three of its components.

Exploring the impact of financial globalization, good governance and renewable energy consumption on environmental pollution: Evidence from BRICS-T countries.

The nations of Brazil, Russia, India, China, South Africa, and Turkey (BRICS-T) have yet to find a satisfactory answer to the problem of how to reduce environmental pollution in their environments significantly. Using panel data from 1990 to 2022, this study analyzes the dynamic relationship between energy financial globalization (FG), good governance (GG), renewable energy consumption (REC), urbanization (URB), economic growth (GDP), and environmental pollution. To estimate the long-run and short-run interaction among the variables, this research included the Cross-sectional- ARDL.

An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique.

Neuroscience is a swiftly progressing discipline that aims to unravel the intricate workings of the human brain and mind. Brain tumors, ranging from non-cancerous to malignant forms, pose a significant diagnostic challenge due to the presence of more than 100 distinct types. Effective treatment hinges on the precise detection and segmentation of these tumors early.

Energy and social factor decomposition to identify drivers impeding sustainable environmental transition in emerging countries: SDGs-2030 progress assessment using LMDI analysis.

The balance between human growth, economic prosperity, and the consumption of hydrocarbon energy factors has become a prerequisite for environmental sustainability. However, the complexities of these factors force researchers to work for more viable combinations of such a balance. Therefore, this study attempted to determine the factors driving environmental sustainability in leading populated economies.

Blood cell image segmentation and classification: a systematic review.

Background: Blood diseases such as leukemia, anemia, lymphoma, and thalassemia are hematological disorders that relate to abnormalities in the morphology and concentration of blood elements, specifically white blood cells (WBC) and red blood cells (RBC). Accurate and efficient diagnosis of these conditions significantly depends on the expertise of hematologists and pathologists. To assist the pathologist in the diagnostic process, there has been growing interest in utilizing computer-aided diagnostic (CAD) techniques, particularly those using medical image processing and machine learning algorithms.

How do information and communication technology, human capital and renewable energy affect CO emission; New insights from BRI countries.

If nations want to attain sustainable development with the exponential growth of information and communication technology (ICT) around the world, they must understand the connection between ICT and carbon emissions. Therefore, this study has used panel data from 64 ''Belt and Road Initiative economies between 2000 and 2021 while finding the impact of ICT, renewable energy consumption (REC), human capital (HC) and economic growth (EG) on CO emissions. This study employs the Augmented Mean Group (AMG) estimator, Mean Group (MG) estimator and the Dumitrescu-Hurlin panel causality.

Green process innovation, green product innovation, leverage, and corporate financial performance; evidence from system GMM.

Natural resource usage has produced various environmental challenges. Green process innovation has been considered a viable option that can help both industry and society. This study investigates the impact of green process innovation and green product innovation on corporate financial performance.

Performance analysis: Securing SIP on multi-threaded/multi-core proxy server using public keys on Diffie-Hellman (DH) in single and multi-server queuing scenarios.

The rapid replacement of PSTN with VOIP networks indicates the definitive phase-out of the PBX/PABX with smartphone-based VOIP technology that uses WLAN connectivity for local communication; however, security remains a key issue, regardless of the communication coverage area. Session initiation protocol (SIP) is one of the most widely adopted VOIP connection establishment protocols but requires added security. On the Internet, different security protocols, such as HTTPS (SSL/TLS), IPSec, and S/MIME, are used to protect SIP communication.

Environmental strategic performance of SMEs in developing countries: perspectives of environmental strategic capabilities, environmental strategic assessment, and stakeholder engagement.

The purpose of this study is to empirically evaluate the model that explains the methods involved in the transformation of environmental strategic capabilities (ESC) into environmental strategic performance (ESP) of manufacturing SMEs in developing economies such as Pakistan. This study also analyzes the role of environmental strategic assessment (ESA) as a mediator as well as the contingent impacts of stakeholder engagement (SE). To evaluate the conceptual model, a cross-sectional design was employed in this study.

Lung Cancer Classification in Histopathology Images Using Multiresolution Efficient Nets.

Histopathological images are very effective for investigating the status of various biological structures and diagnosing diseases like cancer. In addition, digital histopathology increases diagnosis precision and provides better image quality and more detail for the pathologist with multiple viewing options and team annotations. As a result of the benefits above, faster treatment is available, increasing therapy success rates and patient recovery and survival chances.

Modeling the workplace pro-environmental behavior through green human resource management and organizational culture: Evidence from an emerging economy.

This quantitative study investigates the relationships of green human resource management (GHRM) practices (e.g., green training and involvement, green recruitment, green performance management and compensation, and green transformational leadership) on green organizational culture and pro-environmental behavior, and the moderating role of green social capital and green values.

Green human resource management, competitive advantages, and green ambidexterity: using partial least squares structural equation modeling and necessary condition analysis.

This study investigates the effect of green human resource management practices on green competitive advantage and the mediating role of competitive advantage between the green human resource management practices and green ambidexterity. This study also examined the effect of green competitive advantage on green ambidexterity and the moderating effect of firm size on green competitive advantage and ambidexterity. The results reveal that green recruitment and green training and involvement are not sufficient, but they are necessary for any outcome level of green competitive advantage.

Creative Performance and Conflict through the Lens of Humble Leadership: Testing a Moderated Mediation Model.

This study developed and tested a moderated mediation model by examining the relationships between humble leadership (HL), emotional intelligence, employee conflict (EC), and creative performance (CP), using resource-based theory as the theoretical foundation. We conducted a cross-sectional survey of 322 employees and their immediate supervisors ( = 53) from the telecom sector in Pakistan. The data was analyzed using AMOS 21 and SPSS 26.

The effects of trade, renewable energy, and financial development on consumption-based carbon emissions (comparative policy analysis for the G20 and European Union countries).

Recently, there has been a lot of focus on global trade and consumption-based carbon (CCO) emissions. More research, however, has examined how financial development (FD) and international trade in renewable energy affect CO emissions. Furthermore, there are no distinct trends in the research about how globalization affects environmental quality.

Brand Love: Role of Online Customer Experience, Value Co-creation, and Relationship Quality.

Customer experience is a source of retailers' long-term competitive advantage. This study has examined the relationship between online customer experience and brand love through the mechanism of relationship quality in the context of online shopping in Pakistan. The moderating effect of value co-creation on the relationship of online customer experience with relationship quality and brand love has also been examined.

Facial expression recognition using lightweight deep learning modeling.

Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad, angry, fearful, contemptuous, surprised and disgusted expressions. Accurate detection and classification of human facial expression is a critical task in image processing due to the inconsistencies amid the complexity, including change in illumination, occlusion, noise and the over-fitting problem.

Responses to COVID-19, small and medium enterprises' corporate social responsibility and psychological capital of employees: From the mediating perspective of affective commitment.

The influence of corporate social responsibility (CSR) on employees' positive psychological capital in stressful situations remains unexplored in the literature for small and medium enterprises (SMEs). This study aims to examine how CSR could assist employees in developing psychological capital during the COVID-19 pandemic. In order to understand the aforesaid relationship, an attempt is made to study the mediation effect of affective commitment.

Renewable energy electricity, environmental taxes, and sustainable development: empirical evidence from E7 economies.

Since globalization has increased both production and population, it has also increased environmental damage. This is why the development of renewable energy sources is crucial to the survival of humanity and the planet itself. Business patterns across the various nations, however, have changed significantly over time.

Protects Rats against CCl-Induced Hepatic Injuries through Modulation of an Unfolded Protein Response Pathway and Pro-Inflammatory Intermediates.

Liver fibrosis is a major pathological feature of chronic liver disease and effective therapies are limited at present. The present study focuses on the hepatoprotective potential of . against carbon tetrachloride (CCl)-induced liver damage in rats.