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Background: Cachexia is defined by chronic loss of fat and muscle, is a frequent complication of pancreatic ductal adenocarcinoma (PDAC), and negatively impacts patient outcomes. Nutritional supplementation cannot fully reverse tissue wasting, and the mechanisms underlying this phenotype are unclear. This work aims to define the relative contributions of catabolism and anabolism to adipose wasting in PDAC-bearing mice.

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We investigate the dynamical phases and phase transitions arising in a classical two-dimensional anisotropic XY model under the influence of a periodically driven temporal external magnetic field in the form of a symmetric square wave. We use a combination of finite temperature classical Monte Carlo simulation, implemented within a CPU+GPU paradigm, utilizing local dynamics provided by the Glauber algorithm and a phenomenological equation-of-motion approach based on relaxational dynamics governed by the time-dependent free energy within a mean-field approximation to study the model. We investigate several parameter regimes of the variables (magnetic field, anisotropy, and the external drive frequency) that influence the anisotropic XY system.

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The mutually reinforcing dynamics between pain and stress: mechanisms, impacts and management strategies.

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Global Medical Affairs, Bayer HealthCare LLC, Whippany, NJ, United States.

While distinct, pain and stress share complex biological and psychological mechanisms that-despite their protective functions-can lead to clinically maladaptive changes requiring therapeutic intervention when they recur or persist. Recognized as "worldwide epidemics" of modern life, both conditions significantly affect an individual's quality of life, functioning, and well-being; without timely intervention, they can become chronic, leading to substantial economic costs via healthcare expenses, lost wages, and reduced productivity. Evidence suggests that pain and stress not only feed into but exacerbate each other through a "vicious cycle," driven by overlapping physiological, cognitive, and social mechanisms, indicating mutually reinforcing dynamics between pain and stress.

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Recovery of biological signals lost in single-cell batch integration with CellANOVA.

Nat Biotechnol

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Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

Data integration to align cells across batches has become a cornerstone of single-cell data analysis, critically affecting downstream results. Currently, there are no guidelines for when the biological differences between samples are separable from batch effects. Here we show that current paradigms for single-cell data integration remove biologically meaningful variation and introduce distortion.

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