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Paternal Circadian Disruption Impairs Offspring Cognition via Sperm microRNAs
Paternal circadian disruption remodels the sperm small RNA payload, elevating miR‐92a‐3p/miR‐25‐3p levels and perturbing early embryonic gene regulatory programs. Microinjection experiments and single‐embryo transcriptomics reveal sex‐specific developmental vulnerabilities, ultimately impairing offspring hippocampal synaptic plasticity and cognition ...
Kexin Zou +22 more
wiley +1 more source
Phospholipase A2 (PLA2), a dormant enzyme, becomes lethal when activated—collapsing lungs in minutes. Our dual therapy (DOPS + varespladib) boosts survival from 0% to >90% in sepsis/ALI. A breakthrough for acute lung injury treatment. ABSTRACT This study reveals that phospholipase A2 (PLA2), normally stable and nontoxic, can be activated specifically ...
Jianyu Wang +7 more
wiley +1 more source
Protein restriction (PR) slows Alzheimer's disease (AD) in mice, and other benefits of PR are due to decreased branched‐chain amino acids (BCAAs). We show that restricting any BCAA has benefits, with sex‐ and BCAA‐specific impacts on pathology, molecular signaling, and cognition.
Reji Babygirija +22 more
wiley +1 more source
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Measurement: Interdisciplinary Research & Perspective, 2008
This paper formulates a metatheoretical framework for latent variable modeling. It does so by spelling out the difference between observed and latent variables. This difference is argued to be purely epistemic in nature: We treat a variable as observed when the inference from data structure to variable structure can be made with certainty and as latent
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This paper formulates a metatheoretical framework for latent variable modeling. It does so by spelling out the difference between observed and latent variables. This difference is argued to be purely epistemic in nature: We treat a variable as observed when the inference from data structure to variable structure can be made with certainty and as latent
openaire +3 more sources
Behavioral and Brain Sciences, 2010
AbstractIn the target article, Cramer et al. suggest that diagnostic classification is improved by modeling the relationship between manifest variables (i.e., symptoms) rather than modeling unobservable latent variables (i.e., diagnostic categories such as Generalized Anxiety Disorder).
Dennis J, McFarland, Loretta S, Malta
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AbstractIn the target article, Cramer et al. suggest that diagnostic classification is improved by modeling the relationship between manifest variables (i.e., symptoms) rather than modeling unobservable latent variables (i.e., diagnostic categories such as Generalized Anxiety Disorder).
Dennis J, McFarland, Loretta S, Malta
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Latent variable models with nonparametric interaction effects of latent variables
Statistics in Medicine, 2013Renal disease is one of the common complications of diabetes, especially for Asian populations. Moreover, cardiovascular and renal diseases share common risk factors. This paper proposes a latent variable model with nonparametric interaction effects of latent variables for a study based on the Hong Kong Diabetes Registry, which was established in 1995 ...
Song, Xinyuan +2 more
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Building latent variable models
1991Department of Philosophy technical ...
Scheines, Richard +2 more
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