One Belt Road (OBOR) initiative is a historical which connects the people over world and facilitates various opportunities for global peace. The main purpose of this study to explore implication future development. It also analyzes reasons origin, strategy, challenges OBOR initiatives on basis business, economic, political, social environmental aspects. This uses qualitative approach secondary data particularly journal articles, conference proceedings, documents government, books, newspaper...

It is a well-known fact that diabetic retinopathy (DR) one of the most common causes visual impairment between ages 25 and 74 around globe. Diabetes caused by persistently high blood glucose levels, which leads to vessel aggravations vision loss. Early diagnosis can minimise risk proliferated retinopathy, advanced level this disease, having higher severe impairment. Therefore, it becomes important classify DR stages. To effect, paper presents weighted fusion deep learning network (WFDLN)...

The potential growth, privileged geographic location, emerging economies, and large market led to much research in the Middle East North Africa (MENA) region. However, role of Artificial intelligence (AI), along with other variables for energy efficiency (EE), deliver economic environmental benefits are yet underexplored this region brings a lacuna. Thus, study aims present scientific evidence EE through interaction effects AI use (ENEU) MENA from 2000–2021 using dual approaches data...

Abstract The gradual progress in aligning financial flows with the adoption of clean technologies reveals a persistent funding gap, signaling global misallocation capital. Addressing this challenge necessitates political leadership and robust policies to counteract insecurities impeding redirection flows. This study investigates into impact energy-related public–private partnership investments (PPPIE) macro-environmental variables on attainment Sustainable Development Goal 7 (SDG7) across...

Bigdata is a potential instrument to transform traditional governance into smart governance. There are long debate and discussion on the application of big data for transformation public administration modern in academician, researchers, policymakers. This study aims explore suitability applicability agencies. A systematic review literature meta-analysis method employed with various levels scales indicators. Literature survey shows that number models have been developed explain but research...

The outbreak of COVID-19 has exerted an enormous impact on society, enterprises, and individuals. It affected the work attitudes psychology employees to a certain extent their job stress (JS) also augmented accordingly, leading increased turnover intention (TI). With survey responses 720 small medium enterprises (SMEs) in China as sample, we studied related JS TI with moderating effect perceived organizational support (POS). We utilized linear multiple regression analysis using Windows SPSS...

Machine learning gained a significant position in healthcare services (HCS) due to its ability improve the disease prediction HCS. techniques and artificial intelligence have already been worked HCS area. Recently, diabetes is notable public chronic worldwide. It growing rapidly because of bad lifestyles, taking more junk food also lake health awareness. Therefore, there need framework that can effectively track monitor people's condition within an application view. In this study, we...

School dropouts have negative consequences for the social, political, environmental and economic development of a country.This study aims to determine effect school dropout in context Bangladesh.It also explores factors associated with Bangladesh.An extensive review literature has been performed especially on international peer-reviewed research articles.Studies assessed some pre-defined domains like reasons dropout, economic, factor, government initiatives reduce school's environment,...

This study attempts to examine the impact of corporate sustainability on firm performance by examining indirect effect sustainability-oriented supplier partnership and green innovation capabilities a firm. The data acquired address research question is collected from management personnel, officers, experts in Ghana manufacturing sector using list provided Association Industries. Data are tested for convergent validity construct reliability further measurement model. structural model examined...

Sustainable organizational performance (SOP) can differentiate an organization from its rivals. Thus, understanding the antecedents and driving factors of SOP has received wide attention both academicians practitioners in recent years. In line with such attention, this empirical paper endeavored to investigate identify relationship between perceived support (POS) mediating effect sustainable reputation (SOR). Based on 384 survey responses mid-level managers using a cross-sectional design, we...

Big data analytics (BDA) enhances knowledge and decision-making. Despite its importance, the connection between technical progress political change is neglected in administrative process. Most studies focus on e-government, e-governance, how technology can improve existing operations of bureaucracy. However, this article aims to explore potential BDA for public policy systems provide a linkage transformation toward digital smart governance using preferred reported items systematic review...

Heart disease prediction and detection has long been considered as a critical issue. Early of heart is an important issue in health care services (HCS). In growing amount systems, patients are offered expensive therapies operation that quiet for developing countries. Recently, prominent public chronic disease, ex. it's concern the US. The main reason these diseases tobacco consumption, bad life style, lack physical activity intake alcohol. Therefore, there need cloud based architecture can...

One Belt Road (OBOR) Initiative of China is a mega and historical project which facilitates international oil, gas energy trade connects people over the world. This article examines gas, business status under OBOR. It also explores risk associated with OBOR initiative China. The used secondary sources extensively. reveals that top-level importing country strategy favorable for all partner countries potential like political risk, economic investment environment, resource potential,...

The demand for sustainable development and the advantages of industries are expediting over time with triggering green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate mitigate global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate relationship between network potential, absorptive capacity, turbulence, based on social theory, organizational learning contingency theory. We tested...

Invasive carcinoma of no special type (IC-NST) is known to be one the most prevalent kinds breast cancer, hence growing research interest in studying automated systems that can detect presence tumors and appropriately classify them into subtypes. Machine learning (ML) and, more specifically, deep (DL) techniques have been used approach this problem. However, such usually require massive amounts data obtain competitive results. This requirement makes their application specific areas as health...