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Due to the light-scattering effect of inhomogeneous media, achieving non-invasive focusing within scattering media remains a challenge. Existing techniques suffer from poor noise resistance, slow optimization processes, ...

Abstract Background Depression risk in older adults is a complex mental health issue influenced by multiple factors, including individual vulnerability and environmental exposure. Although many methods have been used to ...

Investigations into the collection of seafloor massive sulfides have had a relatively late start, with few related achievements. Moreover, most existing studies have focused on the collection of spherical particles. Ther...

Aim: To develop a cost-effective, predictive model for hypertensive disorders of pregnancy (HDP) in advanced-aged pregnant women based on demographic and lifestyle factors. Methods: A large prospective, population-based,...

Synthesis of silver nanoparticles of different shapes and sizes by the chemical reduction of Ag+ may be strongly influenced by the light irradiation. A key question is understanding the mechanism underlying the transform...

The article investigates the role of headlines as autonomous meaning-making units in shaping media narratives about Ukraine in the American press, using The New York Times during Donald Trump’s presidency as a case stu...

Purpose –This study aims to describe how sociodrama-based heroism learning shapes the character of friendship in elementary school students through contextual, participatory, and local history-based learning experience...

BackgroundEuschistus heros and Piezodorus guildinii are major soybean pests across the Americas. Gut-associated bacteria influence insect nutrition, detoxification, and stress tolerance, potentially enhancing adaptation ...

Abstract This paper investigates the extent to which dishonest behavior can be predicted using behavioral personality traits and physiological information. An interpretable machine learning approach, SHapley Additive exP...

Abstract The missing first Shapiro step in microwave-irradiated Josephson junctions has been widely interpreted as a hallmark of Majorana bound states. However, conventional mechanisms like junction underdamping or Joule...

BackgroundSepsis-induced cardiomyopathy (SCM) is a common complication in patients with sepsis. Although the prognostic nutritional index (PNI) is less comprehensive than other assessment methods, it remains a readily ac...

Abstract Microplastic pollution in freshwater is a global concern, yet field monitoring often lacks standardization, hindering data comparability and analysis. This systematic review bridges the gap between lab findings ...

IntroductionOsteoarthritis (OA) is a common joint disease characterized by progressive biomechanical deterioration of cartilage tissue. This study aims to develop an explainable ensemble machine learning model capable of...

Abstract We propose a continuous stress-detection pipeline that integrates wavelet-based heart-rate-variability (HRV) features with behavioural signals in a staged ensemble. The method computes time-resolved HRV spectral...

BackgroundInterstitial fibrosis and tubular atrophy (IFTA) are key pathological features of chronic kidney damage and progression in diabetic nephropathy (DN). Early identification of patients at higher risk of IFTA may ...

BackgroundChildhood obesity represents a significant global public health challenge. Accurate and rapid prediction models for identifying obesity risk in children and adolescents are essential for facilitating early prev...

BackgroundTo develop and externally validate a coronary heart disease (CHD) risk model from routine clinical indicators and identify key predictors.MethodsThe Framingham Heart Study cohort (n = 4,240) was used. Missi...

Abstract Background Effective modeling and parametric studies strengthen analyses of the influence of cotton fiber properties on the yarn properties, which are important for developing a higher-quality product. Machine l...

Botnet communications often rely on Domain Generation Algorithms (DGAs) to establish channels among attack orchestrators and compromised hosts (bots). Our approach leverages on Artificial Intelligence (AI) to differentia...

Background Identifying priority projects in industry–education integration is critical for optimizing policy support and resource allocation. While prior studies have primarily relied on qualitative assessments, there ...

Abstract Background Pediatric sepsis remains a leading cause of global mortality, necessitating early and accurate risk stratification. Traditional scoring systems often fail to capture the rapid, non-linear progression ...

Abstract Background Accurate prediction of response to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC) is essential for optimizing treatment decisions. This study aimed to deve...

ObjectiveTo develop and internally validate an interpretable, non-invasive machine learning framework to predict detrusor underactivity (DU) in patients with benign prostatic hyperplasia (BPH).MethodsThis retrospective c...

Abstract Skeletal fluorosis (SF) is a chronic metabolic bone disease resulting from long-term excessive fluoride exposure, affecting millions worldwide. Conventional diagnosis relies on radiographic evidence, which often...