Results 161 to 170 of about 1,710,928 (297)

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

open access: yesAdvanced Science, EarlyView.
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

open access: yesAdvanced Science, EarlyView.
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

open access: yesAdvanced Science, EarlyView.
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

open access: yesAdvanced Science, EarlyView.
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

Tailoring Sieving Pores and Electrochemical Interface Intercalation for Mechanically Resilient Recycled Micro‐Silicon Anodes

open access: yesAdvanced Science, EarlyView.
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

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

open access: yesAdvanced Science, EarlyView.
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

open access: yesAdvanced Science, EarlyView.
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

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

open access: yesAdvanced Science, EarlyView.
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

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