Results 121 to 130 of about 33,746 (305)
Confined Migration Drives Stem Cell Differentiation
Human mesenchymal stem cell (hMSC) homing to sites of regeneration requires navigation through mechanically confining extracellular matrix environments, inducing rapid and dramatic morphological adaptation. By exposing hMSCs to specific levels of physiological confinement, it is demonstrated that confinement can induce osteogenesis, and that this fate ...
Xu Gao+6 more
wiley +1 more source
Deep learning pose detection model for sow locomotion
Lameness affects animal mobility, causing pain and discomfort. Lameness in early stages often goes undetected due to a lack of observation, precision, and reliability.
Tauana Maria Carlos Guimarães de Paula+8 more
doaj +1 more source
Engineered Tissue Models to Decode Host–Microbiota Interactions
Host–Microbiota interactions in the human body. Created in BioRender. Ghezzi, C. (2025) https://BioRender.com/ihivskg. Abstract A mutualistic co‐evolution exists between the host and its associated microbiota in the human body. Bacteria establish ecological niches in various tissues of the body, locally influencing their physiology and functions, but ...
Miryam Adelfio+5 more
wiley +1 more source
Therapeutic ultrasound as an aid in tibial fracture management in a dog [PDF]
A six-year-old, male, neutered Bernese mountain dog was presented with acute left hind limb lameness. Based on the symptoms, orthopedic examination and radiographic evaluation, a cranial cruciate ligament rupture was diagnosed.
de Bakker, Evelien+3 more
core +1 more source
This work explores a machine learning (ML) model with electrochemical impedance spectroscopy (EIS) data to address two critical challenges in Lithium metal batteries (LMBs): capacity degradation trajectory and knee point (KP) estimation, for the first time.
Qianli Si+4 more
wiley +1 more source
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag+3 more
wiley +1 more source
Food waste, date labels, and risk preferences: An experimental exploration
Abstract This study provides theoretical and experimental evidence that consumers adjust their premeditated food waste by date labels and their risk and loss preferences. The “Use by” date label leads to more premeditated food waste than “Best by” for deli meat and spaghetti sauce.
Norbert Lance Weston Wilson+1 more
wiley +1 more source
The future of dispute resolution in international trade
Abstract Given ongoing dysfunction of the World Trade Organization's Appellate Body, the focus of this article is on the future of trade dispute resolution, with evaluation of two questions: (i) What is the current status of WTO dispute resolution as compared to that conducted through existing preferential trade agreements (PTAs)? and (ii) What are the
Ian Sheldon, Daniel C. K. Chow
wiley +1 more source
Grain-fed steers and heifers have increasing problems with both lameness and congestive heart failure. Congestive heart failure used to be limited to cattle raised at high altitudes. It is now occurring at much lower elevations.
Temple Grandin
doaj +1 more source
Doped Zinc Oxide‐Based Piezoelectric Devices for Energy Harvesting and Sensing
This review provides a comprehensive overview of material properties, synthesis methods, and characterization techniques of doped ZnO, emphasizing the impact of doping on its structural and functional attributes. It highlights key findings, identifies knowledge gaps, and proposes future research directions to optimize doped ZnO for energy harvesting ...
Congran Jin+3 more
wiley +1 more source