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“Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the d...

Rubber plants are important crops in various countries. Rubber plants have many benefits for human life. Rubber plant diseases cause many losses to farmers. Lack of knowledge and information regarding the treatment of ex...

Technological-based early warning systems (EWS) in rural Indonesia have shown limited long-term adoption because centralised, top-down mechanisms fail to incorporate the contextual triggers trusted by local communities, ...

Drought is a common phenomenon that affects more people within the context of Africa than any other disaster. Likewise, drought is an extreme and common occurrence within the lowland areas of Chipinge district in Zimbabw...

Autonomous underwater vehicles (AUVs) operating in harsh, communication-limited underwater environments require robust fault diagnosis systems to ensure mission success and safety. Existing model-based approaches suffer ...

Abstract Introduction Respiratory syncytial virus (RSV) poses a significant health risk to older adults, particularly those with chronic comorbidities, in the Gulf Cooperation Council (GCC) countries. Despite its high bu...

Artificial intelligence (AI) is transforming how consumers in credence-based markets search for, interpret, and trust product information. In the wine sector, where authenticity and quality depend on symbolic and experie...

Abstract BackgroundHealth and health care systems are progressively challenged by more frequent natural and human-caused hazards. A hazard becomes a disaster when vulnerability and exposure interact in comple...

In public healthcare systems, effectiveness is a central requirement for determining which services should be offered and reimbursed. Yet, due to its technical nature and to the need for specification through specialised...

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...

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 ...

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 ...

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...

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...

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...