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Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...

Safety is the most significant factor that affected incidents (non-fatal) and accidents (fatal) in civil aviation history related to scheduled flights. In the history of scheduled flights, the total incident and accident...

IntroductionThIntrusion Detection Systems (IDS) for Internet of Things (IoT) and edge environments require datasets with unambiguous labels, yet existing datasets often mix benign and malicious traffic within the same ca...

Mathematical models, usually implemented in computer programs known as computer models, are widely used in all areas of science and technology to represent complex systems in the real world. However, computer models are ...

Abstract Purpose This study introduces a new Convolutional Neural Network (CNN) architecture, EyeDiagNet, for the classification of fundus images into four classes: normal, cataract, diabetic retinopathy (DR), and glauco...

Abstract Atomic force microscopy (AFM) is a widely used tool for nanoscale characterization across materials science, energy research, and biology. However, its adoption in high-throughput materials discovery and statist...

To solve the problem of lack of market insight and insufficient innovation creativity in entrepreneurship of college students, this paper aims to explore the application of data mining and predictive analysis technology ...

Pancasila and Citizenship Education (PCE) are crucial for developing active, critical, and responsible citizens. Critical thinking is a key competency students should acquire through PCE. This study aims to analyse and e...

Medidas precisas de volume de madeira são ferramentas importantes no planejamento do uso do recurso florestal. Neste estudo, foram investigados modelos volumétricos para a Floresta Nacional do Tapirapé-Aquirí, na Ser...

Five different objective functions were studied with the purpose of analyzing their performance for parameters estimation of vapor-liquid equilibrium models for a series of 13 non-polar and 13 polar asymmetric binary mix...

Small sample sizes in preclinical research limit the extraction of reliable knowledge and hinder translational progress. We propose genESOM, a generative artificial intelligence method based on emergent self‑organizing...

The use of unmanned aircraft systems to collect data for photogrammetry models has grown significantly in recent years. The accuracy of a photogrammetric model can depend on image georeferencing. The distance from a refe...

Unmanned surface vehicles (USVs) operating in open-sea environments experience significant roll motion due to wave-induced excitation. The dynamic roll response depends on various factors, including vessel speed, wave en...

The integration of Unmanned Aircraft Systems (UAS) into the National Air Space (NAS) in recent times has been met by mixed public responses. The paper establishes four constructs each of which encapsulates multiple backg...

BackgroundRecent studies have disputed the association between bisphenol A (BPA) and endometriosis. This updated meta-analysis was conducted to investigate the impact of BPA exposure on endometriosis.MethodsThis study ev...

Abstract Background Migraine is a prevalent neurological disorder and a leading cause of disability worldwide. Despite effective medications, many patients experience underdiagnosis, suboptimal medication use, and poor a...

Abstract Background Confronting death is a highly stressful task for health science students, shaped significantly by cultural and gender-related factors. Objective To evaluate levels of fear of death and coping strategi...

We studied the spatio-temporal variations of satellite chlorophyll-a (chl-a) and phytoplankton blooms in the continental shelf and shelf-break of the Argentinean patagonic region by means of an 11-years time series of le...

The effect of imbalanced data on the optical character recognition of Braille text is investigated by applying two techniques to a set of convolutional neural network image classification models. A multilabel classificat...

Background: In calibration, analytical figures of merit (AFOMs) are statistical parameters of great importance for method validation. In recent decades, relevant contributions have been made to estimate AFOMs in many cal...

Abstract Building energy consumption is dominated by lighting and heating, ventilation, and air conditioning (HVAC) systems, whose operation is often inefficient due to inadequate control strategies and unreliable occupa...

Climate change presents significant challenges to ecosystems, economies, and societies globally. In Malaysia, a tropical country highly dependent on its natural resources, the impacts are evident in altered rainfall patt...

Nutraceutical-based supplements are increasingly explored as tools to support poultry health and productivity, yet evidence for their use within integrated, multi component preventive programs, especially in commercial b...

ABSTRACT Background and Aims Informal caregiving has increased over recent decades. Caregivers may face an increased risk of accidental falls because of care tasks or their consequences, such as fatigue. However, this as...