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
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
Multifunctional Tailoring of Fertilizer Composites Directly Derived From Phosphate Rock
A novel phosphorus‑sulfur mixed acid with urea (PSU) activation system converts low‑grade phosphate rock (LPR) into multifunctional fertilizer composites (MFCs). MFCs feature porous structures, high nutrient‑activation efficiency, superior slow‑release, and enhanced crop growth, offering a sustainable solution for integrated nutrient management and ...
Zenglian Qi +13 more
wiley +1 more source
Comparative Single‐Cell Transcriptomic Atlas Reveals the Genetic Regulation of Reproductive Traits
A cross‐species single‐cell transcriptomic atlas of reproductive and central nervous system tissues from sheep and humans reveals conserved cellular programs and regulatory networks that regulated fertility. Integration with GWAS for sheep lifetime average litter size identifies UNC5–SLIT–BMP signaling as a core pathway coordinating neuroendocrine ...
Bingru Zhao +8 more
wiley +1 more source
Here, an innovative strategy is proposed, using micron‐sized Si recovered from photovoltaic waste as raw material, combined with electrochemical lithium alloying, reacting with CO2 to obtain sieve‐like porous structure design to overcome mechanical dynamic limitations.
Yunan Wei +4 more
wiley +1 more source
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee +17 more
wiley +1 more source
Transforming Grain‐Boundary Brittle Precipitates to Ductility Pathways in Complex Concentrated Alloy
By engineering graded BCC/L12 interfaces, brittle precipitates in a complex concentrated alloy enable sequential deformation, realizing gigapascal strength with >20% elongation to solve the strength‐ductility trade‐off. ABSTRACT Conventional wisdom holds that hard grain‐boundary (GB) precipitates embrittle structural alloys by acting as crack ...
Zhixin Li +14 more
wiley +1 more source
Optimization of unit commitment considering multiple stochastic factors and interruptible load under chance constraints. [PDF]
Ding B, Zhao M, Qin X, Chen S.
europepmc +1 more source
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Offshore wind and hybrids - A counterfactual case study for impacts in the coupled day-ahead market of Europe. [PDF]
Jakob Fliegner F +3 more
europepmc +1 more source

