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Objectives: The minimum intervention oral health care (MIOC) delivery framework shifts restorative dentistry from a predominantly operative, procedure-centred model towards a person-focused, prevention-oriented and tooth...

Abstract BackgroundThe role of nursing informaticians is well-established in countries like the United States, Canada, and Australia, supported by competency frameworks and educational programs that enable nu...

Abstract The development of Artificial Intelligence (AI) is rapidly advancing, and AI tools are being integrated into many aspects of daily life, including medical care and public health. The full extent to which AI rela...

This study investigates the feasibility and implications of implementing smart water supply systems as an integral component of the broader smart city initiative in Qazvin, Iran. As cities worldwide face growing challeng...

Abstract Background The COVID-19 pandemic has posed unprecedented challenges to healthcare systems worldwide, necessitating rapid adaptation and strategic responses. This article aims to explore the structural factors, c...

AimsUnderstanding atypical forms of diabetes (AD) may advance precision medicine, but methods to identify such patients are needed. We propose an electronic health record (EHR)-based algorithmic approach to identify pati...

In the context of the arid region rangelands, the community's livelihood is highly dependent on the ecosystem's services, including the proper management and use of natural resources. This research evaluates the effects ...

IntroductionThis study attempted to explore the perception and experiences of facilitators and challenges in the implementation of modular, adaptive, and decentralized water infrastructure in the community. It also aimed...

ABSTRACT The rapid advancement of medicine, fueled by big data and interdisciplinary research, has significantly transformed the landscape of computational oncology research. In this evolving environment, effective time ...

Intelligent tire systems (ITS) enable direct sensing of tire and road interaction using sensors mounted inside the tire, providing information that is difficult to obtain from conventional vehicle-mounted sensors. Howeve...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...

This study examines the issue of selecting an optimal electoral system for the first post-war elections to the Verkhovna Rada. It argues that the design of the electoral system will have a significant impact on both the ...

Human–wildlife relations in alpine ecosystems reflect the combined effects of climate change, land-use transitions, and governance capacity. Rather than focusing solely on local conflict dynamics, this study investigat...

Aviation around the world has integrated into a global system. As the integration process continues, more aspects and levels of it need to be lead towards the sustainable development of the whole system via advancing str...

IntroductionThis study examines how decentralized social media platforms are reshaping participatory communication and platform governance in contemporary digital environments. Drawing on a socio-technical perspective, t...

Latin America exhibits one of the highest rates of biodiversity and ecosystem services (ES) loss worldwide along with a remarkable asymmetry in the access to ES benefits (ecosystem services inequality, ESI hereafter). Th...

Moving towards a sustainable future, optimising energy systems and resources involves increasingly sophisticated decision-making processes that require balancing technical efficiency with societal, economic and environme...

Sign Language Translation (SLT) is fundamentally a process of intersemiotic translation, involving the transfer of meaning between visual-gestural and spoken language systems. However, most existing SLT studies focus on ...

Generative artificial intelligence (AI) has transitioned into a collaborative creator in music composition, raising concerns about its impact on human creative agency. This study investigates how AI automation levels aff...

Abstract Objectives This dataset was specifically collected to support the development and evaluation of computer-aided diagnosis (CAD) systems for breast cancer detection. The dataset, Ma’amon Diagnostic Center Mammog...

Background and objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpre...

As military aircraft continue to remain in service and age, cannibalization of parts is increasing. Proactive identification of parts that are at high risk for cannibalization will inform engineering processes such as re...

A certainty factor (CF) rule-based technique is frequently used by traditional expert systems (TES) in the medical industry to compute several symptoms and identify the inference solutions. The primary concern for this T...

Over the past decade, mobile devices have become an integral part of our daily routines, offering a broad spectrum of applications that enhance everyday tasks. As more people adopt smartphones, developers are increasingl...