Results 41 to 50 of about 5,107,449 (167)

Integrating contextual determinants and polygenic risk to examine dementia and late‐life cognition in the Multi‐Ethnic Study of Atherosclerosis

Alzheimer's &Dementia, Volume 22, Issue 4, April 2026.
Abstract INTRODUCTION Alzheimer's disease and related dementias are influenced by genetic and environmental risk factors. We investigated the relationship between contextual exposures and cognitive outcomes, independent of and in interaction with polygenic risk.
Diane Xue, Jana A. Hirsch, Lilah Besser, Timothy M. Hughes, Elizabeth E. Blue, Annette L. Fitzpatrick, Alison E. Fohner   +6 more
wiley   +1 more source

Pattern recognition and machine learning for magnetic resonance images with kernel methods [PDF]

, 2009
The aim of this thesis is to apply a particular category of machine learning and pattern recognition algorithms, namely the kernel methods, to both functional and anatomical magnetic resonance images (MRI). This work specifically focused on supervised
Chu, C.-Y.C.
core  

Association between phthalates exposure and urine flow rate

Scientific Reports
This study aimed to examine the association between phthalate exposure and urine flow rate (UFR). Data from 6951 adult participants across five consecutive NHANES cycles (2009–2018) were analyzed.
Shuai Zhang, Hanhan Tang, Minglian Zhou
doaj   +1 more source

Association of exposure to PM2.5-bound metals with premature rupture of membranes: a prospective cohort study

Frontiers in Public Health
BackgroundExposure to PM2.5 has been linked to premature rupture of membranes (PROM). However, research on the effects of PM2.5-bound metals on the PROM is limited.MethodsHere, we investigated this relationship using data from 6090 pregnant women ...
Mengdan Liang, Liping Qiu, Biyun Lin, Zhehui Chen, Xiannuan Jiang, Mengying Xie, Xiaowei Xie, Hanbing Chen, Xiongkun He, Xiaoxiao Huang, Liang Lu, Lanlan Zhang, Hongjie Qiu, Yihong Chen, Junqi Wu, Xiaoxu Xie, Xiaoxu Xie   +16 more
doaj   +1 more source

Mixture of organic pollutants is associated with cognitive aging

Alzheimer's &Dementia, Volume 22, Issue 4, April 2026.
Abstract INTRODUCTION Environmental organic pollutants impact brain function and cognitive aging, but the effect of real‐world complex mixtures of these pollutants is unexplored. METHODS Using data collected at two time points from 170 cognitively normal adults, we used hierarchical Bayesian kernel machine regression to examine the association between ...
Vrinda Kalia, Katherine E. Manz, Jaime Benavides, Suhang Song, Brandi L. Vollmer, Beizhan Yan, Jeff Goldsmith, Kurt D. Pennell, Yaakov Stern, Marianthi‐Anna Kioumourtzoglou, Gary W. Miller, Christian Habeck, Yian Gu   +12 more
wiley   +1 more source

Convergence fragility in probit Bayesian kernel machine regression implemented in the bkmr R package for binary-outcome environmental mixture analyses: a simulation study

Background. Bayesian kernel machine regression (BKMR) is widely used for exposure-mixture analyses with binary outcomes through a probit extension. Because a bkmr fit can complete without providing adequate effective posterior information, simulation studies should separate execution success from MCMC convergence diagnostics. Methods.
Eguchi, Akifumi, Kawashima, Takayuki, Momozaki, Tomotaka, Nakagawa, Tomoyuki   +3 more
openaire   +2 more sources

Relationship Between Serum Vitamins and Cognitive Impairment in the Elderly: A Study Based on the NHANES Database

Brain and Behavior, Volume 16, Issue 1, January 2026.
This cross‐sectional study of 2582 older adults investigates the associations of serum vitamins D, B12, and folate with cognitive impairment. We found vitamin D and folate were inversely associated with risk, while vitamin B12 exhibited a U‐shaped relationship.
Jiarui Miao, Danyu Zhao
wiley   +1 more source

Probability density estimation with tunable kernels using orthogonal forward regression [PDF]

, 2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and ...
Hong, Xia, Chen, Sheng, Harris, Chris J., Chen, S.   +3 more
core   +1 more source

Data_Sheet_1_Comparative efficacy of three Bayesian variable selection methods in the context of weight loss in obese women.docx

, 2023
The use of high-dimensional data has expanded in many fields, including in clinical research, thus making variable selection methods increasingly important compared to traditional statistical approaches.
Piero Quatto (16560789), Massimo Scacchi (5873732), Elena Colicino (3503048), Raffaella Cancello (476375), Nicola Pesenti (5305472), Antonella Zambon (365937)   +5 more
core   +1 more source

Urban Sprawl Undermines Agricultural Supply Chain Resilience: Amplifying Role of Resource Misallocation and Its Threshold Effects

Food and Energy Security, Volume 15, Issue 1, January/February 2026.
ABSTRACT The acceleration of urbanization and its resultant expansion of urban sprawl (US) have significantly reshaped agricultural supply chain resilience (ASCR). In this study, we focused on the effects of US and the induction of imbalances in resource allocation.
Shilong Xi, Xiaohui Wang, Ziyi Qiu, Yang Luo, Kejun Lin   +4 more
wiley   +1 more source