Results 121 to 130 of about 62,342 (217)
Knowledge stickiness and technological concentration in the AI industry: an empirical study of Chinese cities. [PDF]
Zhang L, Zhang Q, Meng H.
europepmc +1 more source
Time‐restricted feeding (TRF) in mice increased liver fatty acid oxidation and decreased fatty acid biosynthesis. These alterations persisted when TRF was discontinued and the host was infected with Mycobacterium tuberculosis. Pre‐exposure to TRF did not alter tissue (lung and spleen) mycobacterial burden but significantly reduced CD3+ T cells in lungs
Ashish Gupta +7 more
wiley +1 more source
Areas of patent innovation regarding diabetic foot ulcers: technological prospecting. [PDF]
Faria de Freitas V +5 more
europepmc +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
A dataset of scientific citations in U.S. patent Office Actions. [PDF]
Higham K +4 more
europepmc +1 more source
myClass: A Mature Tool for Patent Classification. [PDF]
Falquet, Gilles +2 more
openaire +1 more source
Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão +3 more
wiley +1 more source
Mining the Collaborative Networks: A Machine Learning-Based Approach to Firm Innovation in the Digital Transformation Era. [PDF]
Zhou W, Zhang Z.
europepmc +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Cross-domain transfer learning strategy enhances interpretability of deep learning model explanations. [PDF]
Zannini M +3 more
europepmc +1 more source

