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To address the challenges of fragmented understanding of Large Language Model (LLM) security risks and the inadequacy of LLM risk classification and grading frameworks, this study aims to construct a comprehensive framew...

Abstract Purpose This study aimed to investigate sleep patterns in children with severe medical complexity (CMC) eligible for pediatric palliative care (PPC) and to evaluate the specific impact of these patterns on their...

Abstract Background Microglial activation is increasingly recognized as a critical contributor to both the initiation and chronification of migraine. Recent advances have highlighted the importance of receptor-mediated s...

Abstract Objective: The present study has the following objectives: 1) identify differentially expressed proteins and pathways in blood samples of bipolar disorder (BD) compared to healthy controls (HC) by employing hig...

Abstract Youth badminton performance involves an interplay of structural, physiological, training, and experiential factors more than a stand-alone measure like competition ranking. Yet, in youth programmes, athlete asse...

Software Product Line (SPL) developments include Variability Management (VA) as a core activity aiming at minimizing the inherent complexity in commonality and variability manipulation. Particularly, the (automated) anal...

Abstract This study investigates the evolving urban morphology and landscape fragmentation in Kuwait by integrating fractal analysis, spatial statistics, and landscape metrics. Utilizing historical land use and land cove...

Machine learning has evolved into a potent tool for analysing patterns and making predictions from complex data. In this machine learning era, we employed neural network techniques to estimate the parameters of statistic...

Selected aspects of methodological developments in socio-economic research are addressed from a conceptual perspective, with outlining the areas of transformations in methodology, and illustrating the feasibilities of it...

Abstract Background Sleep apnea is highly prevalent yet frequently underdiagnosed due to the cost and complexity of polysomnography. Heart rate variability (HRV) offers a scalable alternative for early screening, but con...

Abstract Background Acetabular fractures, predominantly caused by high-energy trauma, pose a substantial healthcare burden in low- and middle-income countries (LMICs) such as Nepal. This study aimed to characterize the e...

Abstract Persistent fault analysis is effective when a single element of the S-box is altered. However, most fault injection techniques tend to induce multiple faults. In such multiple-fault scenarios, existing key recov...

In the context of the aggravation of socio-political turbulence caused by both global transformations of the international system and internal changes in the public management paradigm, there is an increasing need for th...

Abstract Background Accidents caused by venomous animals represent a major neglected public health problem in tropical countries. However, the economic impact of these events on the Brazilian public health system remains...

Power transformers are critical components of power systems, and their safe and reliable operation is essential for both industrial and residential applications. Real-time condition monitoring and early fault detection a...

This study addresses the growing need for linguistically grounded and domain-sensitive vocabulary modelling in Financial English by integrating methods from corpus linguistics with insights from financial discourse analy...

IntroductionTherapies for metastatic renal cell carcinoma (mRCC) have evolved significantly, making treatment decisions more complex. We used machine learning (ML) to identify subgroups of patients who have a high probab...

Abstract Background Musculoskeletal diseases, such as Juvenile Idiopathic Arthritis (JIA), can lead to altered joint mobility and changes in gait pattern. While marker-based motion capture systems are considered the gold...

Abstract Converting customer needs into specific forms and providing consumers with services are crucial in product design. Currently, conversion is no longer difficult due to the development of modern technology, and va...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

Formulation of the problem. In scientific research in sociology, education, physics, chemistry and other sciences, methods of correlation analysis are used. Correlation coefficients are used to determine the existence of...

The seismic load has an adverse effect on the bearing capacity of the footings. However, few studies are performed to study its impact on the bearing capacity of slopes. In this study, a rigorous analysis in the framewor...

The efficiency and longevity of photovoltaic (PV) systems are fundamentally constrained by excessive operating temperatures, which reduce electrical output and accelerate material degradation. To address this issue, this...

O objetivo deste estudo foi o de analisar um projeto de prevenção de drogas e Aids desenvolvido nas escolas públicas estaduais de São Paulo. A análise foi desenvolvida considerando-se a diversidade e a complexidade ...