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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...

Abstract This work introduces a metaheuristic (MH) optimization method, which is inspired by the red-tailed hawks’ predatory behavior is Improved Red-tailed Hawk (IRTHA) Algorithm. The algorithm uses a dynamic adjustme...

Abstract Likelihood-based inference for exponential-tail lifetime models can be unstable in finite samples, particularly under right-tail contamination. We develop a robust score-based inference procedure for the two-par...

Abstract An integrated hydrochemical, statistical, and geospatial approach was adopted in the present study to evaluate the groundwater quality of the Mangura Nala watershed in the state of Bihar, India. A total of 154 g...

Abstract This study explores the subjective estimation of vehicle occupancy (SEVO) in public passenger transport (PPT), with a focus on demographic, situational, and environmental factors. Addressing a gap in research wi...

Abstract Transcriptome-wide association studies (TWAS) have successfully identified genes associated with complex traits and diseases, but most have been performed using bulk gene expression data, which aggregate signals...

Abstract In this study, a new three-parameter Lomax distribution is proposed using the beta transformation technique. The new distribution is named Beta Transformed Lomax distribution. Some mathematical properties of the...

OBJECTIVE: Individualized caloric intake is fundamental in obesity management. Awareness of daily energy requirements is critical for achieving and maintaining a healthy body weight. MATERIAL AND METHODS: A survey was co...

Organizational output at the individual level can be interpreted as the extent to which employees convert entrusted roles into tangible contributions that reflect both effectiveness and productivity. In order to scrutini...

ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device fai...

The growing concern over socioeconomic challenges in developing economies has intensified scholarly attention on how financial inclusion and institutional quality interact to influence economic growth in Sub-Saharan Afri...

Abstract Abnormal eating habits among young female students were associated with sedentary life-styles and circadian-rhythm disruption, contributing to impaired sleep quality, reduced cognitive performance, and menstrual...

Abstract To evaluate the temporal changes in 5-year conditional survival (CS5) among patients with intermediate-low locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (nCRT) and surgery, and...

Abstract Motion‐activated cameras (‘camera‐traps’) have become indispensable for wildlife monitoring. Data from camera‐trap surveys can be used to make inferences about animal behaviour, space use and populatio...

Abstract Background Neoadjuvant chemo-immunotherapy has shown promise in improving survival outcomes for non-small cell lung cancer (NSCLC) patients, with pathologic response serving as a critical predictor of long-term ...

Purpose — This study examines how global economic policy uncertainty (GEPU) shapes government expenditure dynamics in emerging market economies. Methods — Using an annual panel of 28 emerging economies from 1998 to ...

Abstract Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model opt...

Abstract Background Hypertension is an important risk factor for cardiovascular diseases, morbidity and mortality. In Germany, elevated systolic blood pressure is associated with more than half of all cardiovascular deat...

Abstract Sphenoid sinus fluid is considered a supportive indicator of drowning in forensic medicine, but traditional manual assessment on postmortem computed tomography (PMCT) is labor-intensive and observer-dependent. E...

Abstract Petroleum engineers must accurately determine bubble point pressure (Pb) to optimize oil field development from discovery to abandonment. Errors in predicting this parameter can lead to inaccurate reservoir and ...

The Russian invasion of Ukraine in February 2022 created an unprecedented natural experiment in economic resilience under extreme stress. Standard neoclassical production theory treats the elasticity of substitution betw...

Abstract Background Quantifying bacteria’s growth rates is essential for understanding their ecological roles and for building predictive models in environmental and clinical settings. Peak-to-trough ratios (PTRs) deri...

Abstract To explore spatio-temporal dynamics and source fingerprinting of carbonaceous aerosols (CAs), a systematic year-long study was conducted in the urban environment of Jammu region, North-Western Himalayas. PM2.5 s...

Background: Tuberculosis (TB) remains a major global health problem. Emerging evidence suggests that Vitamin D plays a significant immunomodulatory role in host defense against Mycobacterium tuberculosis. Vitamin D defic...