Results 131 to 140 of about 160,935 (258)
Public Libraries and Walkable Neighborhoods. [PDF]
Lenstra N, Carlos J.
europepmc +1 more source
Bone cancer pain and depression share a common origin: astrocytic A2‐to‐A1 transition in the posterior piriform cortex. This phenotypic shift disrupts the ATP–adenosine–A2AR–norepinephrine axis, simultaneously driving nociceptive and affective dysfunction.
Jiang‐Ping Liu +14 more
wiley +1 more source
Public libraries and functional disability: A cohort study of Japanese older adults. [PDF]
Otani S, Sato K, Kondo N.
europepmc +1 more source
Slow‐transit constipation (STC) is a disabling motility disorder with unclear smooth‐muscle mechanisms. Spatial proteomic analysis of STC patient colon reveals both the central pathogenic role of smooth muscle cells (SMCs) in STC and novel regulators of intestinal motility, BIN1 and ALDH1B1.
Jianbo Liu +10 more
wiley +1 more source
Teen Perspectives on Integrating Digital Mental Health Programs for Teens Into Public Libraries ("I Was Always at the Library"): Qualitative Interview Study. [PDF]
Knapp AA +15 more
europepmc +1 more source
This study presents a single‐cell atlas of pseudomyxoma peritonei spanning primary and paired metastatic lesions. Distinct epithelial substates, stromal remodeling, immune exclusion, lipid metabolic reprogramming, and a candidate angiogenic network were identified in metastatic lesions.
Xi Li +14 more
wiley +1 more source
Public libraries to promote public health and wellbeing: a cross-sectional study of community-dwelling adults. [PDF]
Karki M +3 more
europepmc +1 more source
Glioblastoma (GBM) exhibits RFX7 silencing via promoter hypermethylation, which downregulates PIK3IP1 to activate PI3K/AKT signaling, increase lactate accumulation, and enhance histone H4K12 lactylation. This lactylation upregulates PD‐L1/CSF1 expression and drives the immunosuppressive microenvironment formation.
Liying Han +20 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

