As a key element of spatial governance, marine protected areas (MPAs) have been increasingly established in various countries, with lessons learned from terrestrial environmental protection. Nevertheless, the development of MPAs in China continues to...
According to the uniform-stress principle of stem formation, the amount of leaf area a tree carries and the leverage it exerts on the stem determine the stem dimensions. Within an even-aged monoculture, the leaf area per tree and the leverage placed...
The objective of this paper is to investigate the impact of coronavirus disease 2019 (COVID-19) on the financial performance and cash holdings of Chinese agri-food companies. We also examine whether or not company ownership, the affected areas, and l...
Land degradation and water availability in semi-arid regions are interdependent challenges for management that are influenced by climatic and anthropogenic changes. Erosion and high sediment loads in rivers cause reservoir siltation and decrease stor...
The fields of indoor localization and positioning have seen extensive research in recent years. Their scientific soundness is of great importance, as information about an entity’s location in indoor environments can lead to innovative services...
Increasing tenure security is essential for promoting safe and inclusive urban development and achieving Sustainable Development Goals. However, assessment of tenure security relies on conventional census and survey statistics, which often fail to ca...
This paper examines how place-sensitive, transdisciplinary entrepreneurship education can catalyze inclusive innovation in peripheral regions. Drawing on the Pathways to Innovation and Entrepreneurship initiative—implemented in Southern Italy t...
The imperative to transform current energy provisions is widely acknowledged. However, scant attention has hitherto been directed toward rural municipalities and their innate resources, notably biogenic resources. In this paper, a methodological fram...
The link between leverage and growth opportunities has been a topic issue in corporate finance for many years. The present paper aims to investigate the link between credit risk, leverage, and growth opportunities in a sample of Italian innovative sm...
Non-professional measurement networks offer vast data sources within urban areas that could significantly contribute to urban environment mapping and improve weather prediction in the cities. However, their full potential remains unused due to uncert...
Monitoring the lake waterbody area in the Qinghai–Tibet Plateau (QTP) is significant in dealing with global climate change. The latest released Landsat-9 data, which has higher radiation resolution and can be complemented with other Landsat dat...
Applying prediction models to software engineering is an interesting research area. There have been many related studies which leverage prediction models to achieve good performance in various software engineering tasks. With more and more researches...
This paper aims to investigate the effects of accessibility to bank branches on the capital structure of small- and medium-sized enterprises (SMEs) by analysing the change in three different leverage measures (total, short-term and long-term leverage...
Background: With a rapidly growing young population, the African continent provides a high but barely exploited economic potential. Creating an African free trade zone is one of the African Union’s major initiatives to increase prosperity. Even...
This research investigates whether banks that adopted new regulatory requirements earlier, such as Basel III, are more profitable, as well as more efficient, than banks that adopted these requirements later. In addition, all 138 banks are based in th...
The accurate prediction of PM2.5 concentration, a matter of paramount importance in environmental science and public health, has remained a substantial challenge. Conventional methodologies for predicting PM2.5 concentration often grapple with captur...
Due to limited infrastructure and remote locations, rural areas often need help providing reliable and high-quality network connectivity. We propose an innovative approach that leverages Software-Defined Wide Area Network (SD-WAN) architecture to enh...
Household leverage ratio is an important factor affecting family stability. Digital finance has changed the means of payment and consumption frequency, but the relationship between digital finance and household leverage ratio is still unclear. The ex...
Artificial intelligence (AI) techniques have been spreading in most scientific areas and have become a heated focus in photonics research in recent years. Forward modeling and inverse design using AI can achieve high efficiency and accuracy for photo...
Graph neural networks (GNNs) have achieved great success in many research areas ranging from traffic to computer vision. With increased interest in cloud-native applications, GNNs are increasingly being investigated to address various challenges in m...
With the help of the time-varying parameter vector autoregression with stochastic volatility (TVP-SV-VAR) model and the Bayesian dynamic conditional correlational autoregressive conditional heteroscedasticity (Bayesian DCC-GARCH) model, this study an...
There has been extensive research and examination dedicated to the advantages and disadvantages of entrepreneurship, both in general and specifically for African Americans. Significant research has been devoted to understanding the economic outcomes...
The following article presents a high-level overview of how Model Predictive Control (MPC) is leveraged in passenger vehicles and their subsystems for improved performance. This overview presents the fundamental concepts of MPC algorithms and their c...
17 March 2026
The economic and societal advantages of Science, Technology, Engineering, Mathematics, and Medicine (STEMM) occupations are considerable; however, access to STEMM education and training opportunities is unequal, especially for youth from low-socioeco...
The enhancement of images captured under low-light conditions plays a vitally important role in the area of image processing and can significantly affect the performance of following operations. In recent years, deep learning techniques have been lev...
The noise-shaping (NS) successive approximation register (SAR) analog-to-digital converter (ADC) is an innovative hybrid structure that offers performance advantages. The NS-SAR ADC leverages the SAR ADC as its foundation and combines oversampling te...
Wheat lodging has a significant impact on yields and quality, necessitating the accurate acquisition of lodging information for effective disaster assessment and damage evaluation. This study presents a novel approach for wheat lodging detection in l...
Research on recommendation methods using multimodal graph information presents a significant challenge within the realm of information services. Prior studies in this area have lacked precision in the purification and denoising of multimodal informat...
The health system’s response to the COVID-19 pandemic has involved research into diagnoses and vaccines, but primarily it has required specific treatments, facilities and equipment, together with the control of individual behaviour and a period...
While newly built urban green spaces aim to address environmental concerns, the resulting green gentrification and social inequality caused by escalating property values have become critical topics of urban socio-spatial research. To prevent green in...
With the exponential growth of the Internet of Things (IoT), ensuring robust end-to-end encryption is paramount. Current cryptographic accelerators often struggle with balancing security, area efficiency, and power consumption, which are critical for...
The rise of artificial intelligence (AI) has revolutionized the processing and analysis of video sensor data, driving advancements in areas such as surveillance, autonomous driving, and personalized content recommendations. However, leveraging video...
A real estate asset comprises land and improvements. The proportions of these components vary over time and across locations. Notably, the land value component is consistent over time, unaffected by depreciation. Consequently, the weight of land valu...
Long non-coding RNAs (lncRNA), the pervasively transcribed part of the mammalian genome, have played a significant role in changing our protein-centric view of genomes. The abundance of lncRNAs and their diverse roles across cell types have opened nu...
This paper tests the degree to which a sustainable relationship exists between financial leverage and the systematic risk of shareholders under the following capital market imperfections: corporate and personal taxes as well as risky debt and bankrup...
Protected areas have been used worldwide to conserve natural resources. Nevertheless, economic activities to provide income for communities living within and surrounded by conservation areas remain an issue. This study aimed to assess the sustainabil...
Understanding the dynamics of regional water area changes is crucial for effective water resource management and ecological conservation, particularly in arid regions. Located in northwestern China’s arid zone, changes in water area in Kashgar...
Laser remote sensing of seismic waves is extensively utilized in earthquake monitoring and resource exploitation. This article leverages wavefront sensors’ high resolution and array detection capabilities to effectively conduct planar scanning...
Urban CO2 mitigation strategies typically aim at particular zones or sectors but do not account for spatial interdependencies among different components within the city. Understanding how land uses emit within and across districts can reveal systemic...
Old residential areas present unique challenges in terms of design, stakeholders, and renovation requirements compared to traditional building projects. However, unreasonable construction plans can lead to delays, cost overruns, poor quality, and con...
In recognition of the urgent need to drive the transition to truly sustainable development, it is our belief that the divisions still distinguishing economic, social and environmental dimensions of human activities can impede the creation of conditio...
Fire authorities have started widely using operational fire simulations for effective wildfire management. The aggregation of the simulation outputs on a massive scale creates an opportunity to apply the evolving data-driven approach to closely estim...
The linguistic and social impact of multiculturalism can no longer be neglected in any sector, creating the urgent need of creating systems and procedures for managing and sharing cultural heritages in both supranational and multi-literate contexts....
Wildfire damage severity census is a crucial activity for estimating monetary losses and for planning a prompt restoration of the affected areas. It consists in assigning, after a wildfire, a numerical damage/severity level, between 0 and 4, to each...
The purpose of this study is to explore the existence and uniqueness of the best proximity points for
In a country where the majority of crimes remain unreported, uninvestigated, and unpunished, law enforcement faces considerable challenges in obtaining high-quality data that are consistent, reliable, and timely to effectively plan and deploy their s...
The extraction of aquaculture areas from high-resolution remote sensing images is crucial for effective coastal management and resource preservation. This study introduces SwinNet, a semantic segmentation model leveraging multi-scale feature fusion t...
As data-driven models gain importance in driving decisions and processes, recently, it has become increasingly important to visualize the data with both speed and accuracy. A massive volume of data is presently generated in the educational sphere fro...
Integrating fire into land management is crucial in fire-prone regions. To evaluate the effectiveness and efficiency of prescribed fire (PF), we employed the REMAINS model in NW Iberia’s Transboundary Biosphere Reserve Gerês-Xurés....
In the global context of rural development in developing countries, the integration of digital technology into agriculture has emerged as a pivotal strategy for modernizing rural areas and boosting agricultural productivity. A focal point of policy i...
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