Results 51 to 60 of about 62,012 (215)
Engineered extracellular vesicles displaying Ephrin‐B2 selectively target Ephrin‐B4–expressing ovarian cancer cells, enabling precise delivery in patient‐derived models. This scalable bio‐manufacturing platform reveals a versatile strategy to exploit Ephrin signaling for highly specific therapeutic payload delivery and motivates exploration of tailored
Nihar Godbole +17 more
wiley +1 more source
A self‐evolving Pd/Ov‐FeTiO3 photothermal catalyst, inspired by lunar soil, enables efficient extraterrestrial CO2 conversion. The formation of transient active interfaces and oxygen vacancies extends light absorption to the infrared range and optimizes electron transfer.
Yahang Wang +11 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Full androgen deprivation (FAD) induces paracrine cholesterol in prostate cancer that drives the polarization of cancer‐associated fibroblasts (CAFs) and subsequent elevated matrix stiffness. Matrix stiffness in turn potentiates tumor cell survival under FAD pressure via dual mechanotransductive activation of the IRE1α‐XBP1s stress‐response axis ...
Shaojie Liu +20 more
wiley +1 more source
ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li +7 more
wiley +1 more source
Application of cloud computing services in e-learning
According different authors article analyses the importance of cloud computing services in e-learning, examines different cloud computing services types.
Jurgita Lieponienė
doaj +1 more source
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar +5 more
wiley +1 more source
Cloud based platforms, tools and services
Research goals: to determine the impact of cloud platforms, equipment and services at the modern state of ICT development. Research objectives: to determine the place and role, pros and cons of the cloud technologies, relevance of their use by the user ...
A. V. Damniskaya
doaj +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source

