Results 171 to 180 of about 668,877 (302)

Enhancing electrical conductivity by defects in metals. [PDF]

Nat Commun
Zhang X, Xiong DB, Zhang Y, Zheng Y, Liu Y, Gao S, He S, Geng Y, Zhou M, Li Z, Wang K, Qi R, Wang Q, Song X, Ye XX, Zhang D.   +15 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Beyond Extracellular Vesicle (EV) Hype: Practical Solutions and Remaining Hurdles in EV Research, Manufacturing, and Clinical Translation

Advanced Science, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy, Zoe L. Chau, Sheng‐You Chen, Nanami Fujisawa, John J. Hill, Barnett M. Hsu, Joanne K. Liu, Karol W. Mai, James J. Lai   +8 more
wiley   +1 more source

Effect of Contact Conditions on Frictional Characteristics of Low-Carbon Deep-Drawn Steel Sheets. [PDF]

Materials (Basel)
Trzepieciński T, Najm SM, Oleksik V, Oleksik M.   +3 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Study on the Secondary Recrystallization Process and Influencing Factors of 4N Pure Copper Wires. [PDF]

Materials (Basel)
Xu H, Dong X, Li T, Qi Z, Chen G.
europepmc   +1 more source

POU2F1 Promotes Chemoresistance in Colorectal Cancer Cells via Attenuates the MDR2 Degradation Mediated by PPP1R11 Lactylation

Advanced Science, EarlyView.
Schematic diagram of our study showing that highly expressed POU2F1 in colorectal cancer (CRC) can directly accelerate the cytosolic lactate export to decrease PPP1R11 lactylation at K59, thereby attenuating the E3 ligase enzyme activity and protein stability of PPP1R11, which inhibits the ubiquitination of MDR2 at K413 and K538 but increases the ...
Longzheng Xia, Jinguan Lin, Xianjie Jiang, Linda Oyang, Shiming Tan, Zongyao Ren, Qiu Peng, Qianjin Liao, Yujuan Zhou   +8 more
wiley   +1 more source

Processing-Structure-Property Relationships in Polymer/Boron Nitride Nanotube Composite Fibers for Electronic Packaging Applications. [PDF]

ACS Appl Nano Mater
Smith CL, Mintz KJ, Gupta K, Garg A, Wilson L, Kumar S.   +5 more
europepmc   +1 more source

A Chirality‐Converted Bacteriolytic Dodecapeptide Regulates Vibrio‐Induced Polymicrobial Infection and Ameliorates Invasion‐Associated Gut Microbiota Disequilibrium

Advanced Science, EarlyView.
Multidrug‐resistant Vibrio infections are rising rapidly and threaten coastal populations worldwide. This study introduces D‐zp37, a chirality‐engineered antimicrobial peptide with exceptional potency against resistant Vibrio species. D‐zp37 kills planktonic cells, blocks mixed‐species biofilms, disrupts essential bacterial stress responses, and shows ...
Ping Zeng, Qipeng Cheng, Xiaoxu Zhang, Honglan Wang, Jinghan Zhang, Xinyi Ding, Pengfei Zhang, Lanhua Yi, Kwok‐Yin Wong, Kin‐Fai Chan, Sheng Chen, Sharon Shui Yee Leung   +11 more
wiley   +1 more source

Role of Cu in Nanostructural Relationship Between Phase Separation and Deformation-Induced Twinning in Heavily Drawn Non-Equiatomic High-Entropy Alloy Wire. [PDF]

Nanomaterials (Basel)
Shim SH, Saboktakin Rizi M, Minouei H, Hong SI.   +3 more
europepmc   +1 more source