Results 181 to 190 of about 328,604 (299)
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman+3 more
wiley +1 more source
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle+9 more
wiley +1 more source
An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients. [PDF]
Das UC+10 more
europepmc +1 more source
A Bio‐Inspired Perspective on Materials Sustainability
This perspective discusses natural materials as inspiration for sustainable engineering designs and the processing of materials. First, circularity, longevity, parsimony, and activity are presented as essential material paradigms. The perspective then uses many examples of natural and technical materials to introduce principles such as oligo ...
Wolfgang Wagermaier+2 more
wiley +1 more source
Incorporating bilingual translation templates into neural machine translation. [PDF]
Li F+5 more
europepmc +1 more source
Protein can undergo liquid–liquid phase separation and liquid‐to‐solid transition to form liquid condensates and solid aggregates. These phase transitions can be influenced by post‐translational modifications, mutations, and various environmental factors.
Tianchen Li+3 more
wiley +1 more source
Overview and challenges of machine translation for contextually appropriate translations. [PDF]
Naveen P, Trojovský P.
europepmc +1 more source
Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu+4 more
wiley +1 more source
This review probes recent advancements in PEMWEs for green hydrogen production from the perspective of acidic OER, identifies challenges related to corrosive environments and oxidative conditions, and proposes strategies to enhance the long‐term stability of PEMWEs by addressing both catalyst and membrane electrode assembly deactivation.
Wenting Feng+9 more
wiley +1 more source
Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions. [PDF]
Abdhood SF, Omar N, Tiun S.
europepmc +1 more source