Results 261 to 270 of about 1,187,502 (316)
ABSTRACT Organoid research offers valuable insights into human biology and disease, but reproducibility and scalability remain significant challenges, particularly for epithelial organoids. Here, we present an integrated microfluidic platform that addresses these limitations by enabling high‐throughput generation of uniform hydrogel microparticles ...
Barbora Lavickova +8 more
wiley +1 more source
Artificial intelligence technology for the ethical issues research from a Marxist perspective under deep learning. [PDF]
Zhang E, Wang D.
europepmc +1 more source
ABSTRACT Precise transgene‐free gene upregulation remains a challenge in crop biotechnology, as conventional enhancers often exceed CRISPR‐mediated knock‐in size constraints and face regulatory hurdles. Here we establish a foundational cross‐species resource of compact transcriptional enhancers developed via STEM‐seq, a high‐throughput screening ...
Qi Yao +14 more
wiley +1 more source
Emotional labor, job-related stress, and burnout in school leadership: insights from educational administrators. [PDF]
Coşkun B, Katıtaş S, Eriçok B.
europepmc +1 more source
Do We Know What Hit Us? Bartik Shocks, Labor Demand, and Local Productivity in Europe
Juan David Duran Vanegas
openalex +1 more source
Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan +24 more
wiley +1 more source
Producer perspectives on the constraints to aquaculture development in the US Great Lakes region. [PDF]
Hartenstine HA, Carlton JS.
europepmc +1 more source
Long-Term Industrial Labor Demand Forecast for Hungary
John S. Earle, Álmos Telegdy
openalex +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

