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Spatial Distribution Patterns, Hotspots of Contaminants of Emerging Concern and Driving Factors in a River Network of Xizang Plateau.
Environ Res
January 2025
CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China. Electronic address:
This study encompasses the explication of systematic spatial distribution patterns and identification of hotspots of contaminants of emerging concern (CECs) across the network of rivers, including Yarlung Tsangpo River and its tributaries in Xizang Plateau. A total of 16 CECs were detected in wide range of frequencies and concentrations ranging from below limit of detection (BLD) - 163.13 ng/L across the river network, indicating widespread spatial heterogeneity.
View Article and Find Full Text PDFA multi-constraint representation learning model for identification of ovarian cancer with missing laboratory indicators.
Nan Fang Yi Ke Da Xue Xue Bao
January 2025
School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Objectives: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators.
Methods: Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation.
A low-dose CT reconstruction method using sub-pixel anisotropic diffusion.
Nan Fang Yi Ke Da Xue Xue Bao
January 2025
School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, China.
Objectives: We present a new low-dose CT reconstruction method using sub-pixel and anisotropic diffusion.
Methods: The sub-pixel intensity values and their second-order differences were obtained using linear interpolation techniques, and the new gradient information was then embedded into an anisotropic diffusion process, which was introduced into a penalty-weighted least squares model to reduce the noise in low-dose CT projection data. The high-quality CT image was finally reconstructed using the classical filtered back-projection (FBP) algorithm from the estimated data.
Childbirth dynamics in the riverside region of the Brazilian Amazon from the perspective of geospatialization.
Rev Bras Enferm
January 2025
Universidade do Estado do Pará. Belém, Pará, Brazil.
Objective: to analyze the spatial-temporal pattern of childbirths and flow of postpartum women assisted at a regional reference maternity hospital.
Methods: ecological study of 4,081 childbirths, between September 2018 and December 2021, at a public maternity hospital in the Baixo Tocantins region, Pará, Brazil. With data collected from five sources, a geographic database was constructed, and spatial analysis was used with Kernel density interpolator.
Assessing the global dynamics of Nipah infection under vaccination and treatment: A novel computational modeling approach.
PLoS One
January 2025
Department of Mathematics, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
In biology and life sciences, fractal theory and fractional calculus have significant applications in simulating and understanding complex problems. In this paper, a compartmental model employing Caputo-type fractional and fractal-fractional operators is presented to analyze Nipah virus (NiV) dynamics and transmission. Initially, the model includes nine nonlinear ordinary differential equations that consider viral concentration, flying fox, and human populations simultaneously.
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