Results 131 to 140 of about 25,950 (259)

Overcoming Drug Resistance by Paclitaxel Resistance in Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
In the murine triple‐negative breast cancer (TNBC) model, chemotherapy effectively increases tumor neoantigen burden (TNB). Here, the study constructs a liposomal nanovaccine using antigens derived from in vitro chemotherapy‐treated paclitaxel‐resistant TNBC 4T1 cells.
Bo Chen, Yangyi Wang, Tingting Li, Changqing Guo, Zhe Xie, Zhixian Zhang, Xinghua Han, Wei Wang, Jian Wang, Xiaopeng Ma, Yuanzeng Min   +10 more
wiley   +1 more source

Surface Neuronal‐Like Structuring of High‐Strength CFRP for Enhanced Electromagnetic Interference Shielding

Advanced Science, EarlyView.
This study elucidates the microstructural evolution at the material interface of Ni‐plated plain‐weave carbon fiber fabric following vacuum heat treatment at 500°C–900°C under different current densities, as well as the mechanism underlying the synergistic enhancement of electromagnetic shielding and ductility.
Wei Cheng, Ben Jia, Shuhan Xiang, Biao Chen, Yongjun Zhang, Zhuo Liu, Xiaopeng Wan, Heyuan Huang   +7 more
wiley   +1 more source

Corynoxine Inhibits Tumor Growth via Targeting NQO1 and Modulating the PTPA–NQO1/PP2A Switch to Activate PP2A

Advanced Science, EarlyView.
Corynoxine exerts potent broad‐spectrum anticancer activity by directly targeting NQO1. This interaction dissociates the oncogenic NQO1‐PTPA complex, releasing PTPA to robustly activate the tumor suppressor PP2A. Consequently, downstream Raf/MEK/ERK and PI3K/AKT signaling pathways are suppressed, downregulating c‐Myc and driving tumor regression ...
Guoqing Hou, Li Lin, Mengjie Xia, Ruohan Liang, Yueyue Zhang, Linna Du, Xuan Cao   +6 more
wiley   +1 more source

Machine Learning Prediction of the Compressive Bearing Capacity of Concrete-Filled Steel Tubes Using Random Forest. [PDF]

Materials (Basel)
Su W, Cheng Y, Wei L, Zhong G, Zhou L, Liu F, Xie K.   +6 more
europepmc   +1 more source

Bridging Performance and Fate: A Framework for Sustainable, Composite‐Based Flexible Electronic Systems

Advanced Electronic Materials, EarlyView.
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley   +1 more source

Mechanical properties of ECC connection plates in seamless Bridges. [PDF]

PLoS One
Xiao Z, Wang L, Huang R.
europepmc   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Calculation method and predictive analysis of flexural capacity of reinforced concrete beams strengthened with carbon fiber-reinforced polymer sheets applied to the side surfaces. [PDF]

PLoS One
Liu X.
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source