Intrapancreatic accessory spleen mimicking pancreatic malignancy: Diagnostic role of Tc-99m heat-damaged red blood cell scintigraphy. [PDF]
Yilmaz F, Perktas L.
europepmc +1 more source
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Tai Chi for improving motor symptoms in Parkinson's disease patients: a systematic review of mechanisms. [PDF]
Li Z +7 more
europepmc +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
Codesign and implementation of a Tai Chi intervention for managing the fatigue, sleep disturbance and depression symptom cluster in breast cancer survivors in regional Australia: a feasibility study protocol. [PDF]
Skinner S +6 more
europepmc +1 more source
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
Engineered nanomaterials released from commercial nano-enabled products affect the morphology and behaviour of the zebrafish (D. rerio) embryo. [PDF]
Moloi MS +6 more
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source

