Results 211 to 220 of about 127,653 (298)

Copper Depletion Nanoparticles Potentiate Cancer Immunotherapy by Avoiding Innate and Adaptive Immune Resistance

Advanced Science, EarlyView.
A mitochondria‐targeted copper depletion nanoplatform (CYN‐CDA@Alb) was developed to selectively disrupt tumor mitochondria copper, which then reprogrammed the tumor immune microenvironment by depressing PD‐L1 and CD47 expression simultaneously. By doing this, CYN‐CDA@Alb reversed radiotherapy‐induced immune tolerance, showing the potential usage of ...
Zaigang Zhou, Ke Li, Xuelan Li, Lei Yi, Zhengxiang Wang, Huan Ding, Sheng Wu, Feiyu Liu, Yuan Li, Rui Cheng, Jianliang Shen   +10 more
wiley   +1 more source

Novel control strategies for electric vehicle charging stations using stochastic modeling and queueing analysis. [PDF]

Sci Rep
Varshney S, Panda KP, Shah M, Srinivas BA, Deshmukh A, Choudhary KK, Bajaj M, Prokop L, Rubanenko O.   +8 more
europepmc   +1 more source

Construction of a MOF‐Based Snap‐Top Delivery Nanosystem for Powerful Dual‐Responsive Synergistic Colitis Treatment

Advanced Science, EarlyView.
A snap‐top delivery nanosystem based on an azobenzene metal–organic framework achieves targeted release of 6‐mercaptopurine via acid‐stable frameworks and hypoxia/pH dual‐responsive β‐cyclodextrin gates. This multifunctional platform integrates three synergistic mechanisms: precision drug delivery to inflammatory sites, intrinsic antioxidant properties
Xin Li, Miao Xu, Heran Li, Huan Jiang, Xin Wang, Lianjun Ma, Ying‐Wei Yang   +6 more
wiley   +1 more source

A high-resolution electric vehicle charging transaction dataset with multidimensional features in China. [PDF]

Sci Data
Zhang Y, Xu T, Chen T, Hu Q, Chen H, Hu X, Jiang Z.   +6 more
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

UrbanEV: An Open Benchmark Dataset for Urban Electric Vehicle Charging Demand Prediction. [PDF]

Sci Data
Li H, Qu H, Tan X, You L, Zhu R, Fan W.
europepmc   +1 more source

A Triple‐Nanoparticle System for Controlled Graphene Nanosheet Stacking: Enabling K/Na‐Ion Battery Anodes with Ultra‐Fast Charging Exceeding Petroleum Vehicle Refueling

Advanced Science, EarlyView.
ABSTRACT Large‐ion (K, Na) battery systems mitigate uneven global lithium distribution, while their ability to attain recharge time shorter than refueling would remove the final barrier for secondary batteries to replace petroleum vehicles. However, their large‐ion chemistry makes ultra‐fast charging an even significant challenge.
Shukai Ding, Le Zhang, Hang Li, Yang Zhang, Guoquan Suo, Bin Han, Dongfeng Sun, Wenqi Zhao, Gaohui Du, Qingmei Su, Bingshe Xu, Zhen Xu, Wei Wang   +12 more
wiley   +1 more source

Anomaly detection with grid sentinel framework for electric vehicle charging stations in a smart grid environment. [PDF]

Sci Rep
Kesavan VT, Hossen MJ, Gopi R, Joseph ER.   +3 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Short-term charging load prediction study of electric vehicle charging stations based on K-Medoids clustering and multi-factor optimization decomposition. [PDF]

Sci Rep
Li H, Tang M, Cao J, Yang T, Wang C, Jiang Y.   +5 more
europepmc   +1 more source