Results 221 to 230 of about 9,747,200 (282)

Source parameters and stress drop variability in northeastern Egypt and their implications for seismic hazard assessment. [PDF]

Sci Rep
Saadalla H, Qaysi S, Abdelnabi A.
europepmc   +1 more source

Chemoproteomic Identification of AKT2 as a Paclitaxel‐Binding Protein via C─C Bond‐Linked Probe PTX‐4 in Paclitaxel‐Resistant Breast Cancer

Advanced Science, EarlyView.
ABSTRACT Breast cancer remains one of the most prevalent malignancies among women, and taxane‐based chemotherapies such as paclitaxel and docetaxel are central to standard treatment regimens. However, drug resistance in breast cancer limits therapeutic efficacy and contributes to recurrence and metastasis.
Kai Wang, Yuqing Yuan, Wei Shen, Xiuxiu Yang, Xiaokang Wu, Haihua Zhou, Yi Hu, Qing Zhu   +7 more
wiley   +1 more source

Fractional-order Klein-Gordon nonlocal model for thermo-elasto-diffusion in porous medium. [PDF]

Sci Rep
Sur A, Alosaimi M, Singhal A, Yaylacı M, Das S.   +4 more
europepmc   +1 more source

MASH Background Confers Enhanced Disease Susceptibility and Acetaminophen Toxicity in iPSC‐Derived Liver Organoids

Advanced Science, EarlyView.
This work establishes a novel method for generating multicellular liver organoids from control and MASH donor iPSCs. The model recapitulates several disease‐specific characteristics, with MASH donor‐derived organoids showing higher susceptibility. Lipidomic profiling of MASH organoids closely resembles MASH liver biopsies.
Ekta Minocha, Ashwani Kumar Gupta, Nate Schmidt, Richard M. Green, John G. Purdy, Jason A. Wertheim   +5 more
wiley   +1 more source

Microwave Sensors for Dielectric Characterization: Planar Architectures, Extraction Methods, and Emerging Applications. [PDF]

Sensors (Basel)
Tan F, Liu C.
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

Charting Endocrine Progenitors Across Species and Organs

Advanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing, Michael Sterr, Özüm Sehnaz Caliskan, Lama Saber, Nicole Katarina Rogers, Samuel Ogden, Kei Kozawa, Christos Karampelias, Jessica Jaki, Aimée Bastidas‐Ponce, Falk Janos Farkas, Oliver Czarnecki, Osvaldo Rodrigues Pereira, Perla Cota, Valerie Vandenbempt, Diego Balboa, Anika Böttcher, Natalie Krahmer, Mohammad Lotfollahi, Julie B. Sneddon, Heiko Lickert, Mostafa Bakhti   +21 more
wiley   +1 more source

Mechanical Property Evolution and Load Monitoring Method of Laminated Elastomeric Bridge Bearings Under Temperature Effects. [PDF]

Sensors (Basel)
He M, Liu X, Deng N.
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Challenges, Power-Device Progress, and Emerging Harsh-Environment Applications for Ultrawide-Bandgap Diamond Semiconductors. [PDF]

Materials (Basel)
Alshammari N, Rao MV, Li Q.
europepmc   +1 more source