4345 papers
This study analyzes UPLC-based metabolic profiles from 59 individuals with mild cognitive impairment to identify seven specific metabolites, particularly Methionine Sulfoxide, that correlate with beta-amyloid burden and could serve as early biomarkers for Alzheimer's disease progression.
This study demonstrates that the laforin/malin E3-ubiquitin ligase complex physically interacts with and ubiquitinates key components of the Hsp70 and Hsp90 chaperone systems, including HspA1L, Hsp90, and Hop/Stip1, thereby identifying a novel mechanism for regulating protein quality control.
This study demonstrates that fluctuating environmental conditions drive neoplastic transformation and epithelial-mesenchymal plasticity in human breast cells through ROS-mediated mutagenesis and epigenetic regulation by GRHL2, a mechanism validated across cell lines and patient cohorts that identifies GRHL2 as a potential therapeutic target for metastasis.
This study reveals that Mild Malformation of Cortical Development with Oligodendroglial Hyperplasia and Epilepsy (MOGHE) is a molecularly heterogeneous disorder characterized by region-specific alterations in both mTOR and WNT signaling pathways, with TSC2 serving as a central link between these two networks.
This study demonstrates that the CFH Y402H polymorphism increases the susceptibility of patient-derived choriocapillaris endothelial cells to oxidative stress by triggering complement dysregulation and metabolic reprogramming, thereby identifying these cells as a critical therapeutic target for age-related macular degeneration.
YAPAT is an open-source, web-based platform that streamlines the large-scale annotation of passive acoustic monitoring data by integrating ontology-grounded labeling, multi-label active learning, and dual cold-start mechanisms to reduce expert effort and produce high-quality, interoperable datasets.
This paper introduces an open toolbox for synthesizing marine acoustic recordings at controlled signal-to-noise ratios to evaluate noise reduction front-ends, demonstrating how such processing affects event detectability and the performance of pre-trained detection models.
This study challenges the traditional model-based versus model-free dichotomy in addiction research by demonstrating that individuals with substance use disorders exhibit irrational learning characterized by a resource-rational shift toward simplified, reusable successor features to minimize cognitive costs, even at the expense of reward maximization.
This paper proposes and empirically validates a value-guided search account of creative concept generation, demonstrating that individuals efficiently navigate the idea space by dynamically balancing novelty and appropriateness through exploration-exploitation regulation.
This study demonstrates that optimizing cultivation conditions for *Heterocapsa pygmaea* using Response Surface Methodology combined with flow cytometry-guided physiological monitoring significantly enhances biomass productivity and peridinin–chlorophyll a–protein (PCP) performance, establishing a scalable framework for industrial microalgal bioprocess development.