Results 201 to 210 of about 3,330,411 (337)
Biomimetic Shading Systems: Integrating Motorised and Moisture-Responsive Actuation for Adaptive Façades. [PDF]
Imani N +5 more
europepmc +1 more source
Optimal Control of Stochastic Linear Systems with Time-Delay
Kenko Uchida, Etsujiro SHIMEMURA
openalex +2 more sources
Application of Local Area Networks to Accelerator Control Systems at the Stanford Linear Accelerator [PDF]
J. Fox, Eric Linstadt, R. Melen
openalex +1 more source
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou +5 more
wiley +1 more source
Machine Learning on Low-Cost Edge Devices for Real-Time Water Quality Prediction in Tilapia Aquaculture. [PDF]
Nuangpirom P +5 more
europepmc +1 more source
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Existence and controllability analysis of multi-term fractional coupled systems with generalized [Formula: see text]-Caputo-Fabrizio operators. [PDF]
Saad KM, Abdo MS, Hamanah WM.
europepmc +1 more source
A Computational Method for Optimal Sampled-Data Control of a Linear System
Akira MOHRI
openalex +2 more sources
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source

