Results 91 to 100 of about 3,032 (260)

Single‐Cell Reveal GALNT7‐Dependent Ferroptosis Suppression as a Mechanism of Immunotherapy Resistance in Non‐Small Cell Lung Cancer

Advanced Science, EarlyView.
Integrated clinical and mechanistic analyses identify GALNT7 as a ferroptosis‐suppressive regulator associated with immunotherapy resistance in non‐small cell lung cancer. GALNT7 depletion promotes lipid peroxidation, mitochondrial dysfunction, and ferroptosis, enhances CD8+ T‐cell activation and IFN‐γ production, and sensitizes tumors to PD‐1 blockade,
Jiadi Gan, Qian Zheng, Deng Liu, Ruichao Nie, Menglin Yao, Xiaolong Tang, Renjie Xu, Jinghong Xian, Wenjun Meng, Wenxin Luo, Dan Liu, Guiyi Ji   +11 more
wiley   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Correcting Apparent Priming Bias Unveils Fertilizer Nitrogen‐Risk Archetypes of Surplus and Depletion Across Asian Rice Systems

Advanced Science, EarlyView.
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu, Siyuan Cai, Longlong Xia, Jagdish K. Ladha, Xiaoyuan Yan, Xu Zhao   +5 more
wiley   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

Modeling and Control of AC Microgrids Under Unbalanced Utility Grid Voltage Using the Invariant-Ellipsoid Method

IEEE Access
The increasing penetration of renewable microgrids (MGs) into utility grids (UGs) has introduced new stability and power quality challenges, especially under the unbalanced voltage of the utility grid.
Hilmy Awad, Ehab H. E. Bayoumi, Hisham M. Soliman, Michele de Santis, Paola Verde   +4 more
doaj   +1 more source

Targeted Delivery of Indole‐3‐Pyruvic Acid Suppresses Macrophage Ferroptosis to Enhance CD8+ T Cell‐Mediated Immunotherapy Response in Bladder Cancer

Advanced Science, EarlyView.
A microbiota‐derived metabolite, indole‐3‐pyruvic acid, suppresses macrophage ferroptosis through the AHR–NF‐κB–SLC7A11 axis. This preserves CD8+ T cell function in bladder cancer. Macrophage‐targeted nanoparticles enhance indole‐3‐pyruvic acid delivery and overcome resistance to PD‐1 blockade.
Jianwen Lao, Xinhao Yuan, Shuai Liang, Kai Deng, Daqin Wu, Longhao Xu, Kun Zheng, Yi Lin, Peicong Cai, Haoran Zheng, Junyu Chen, Mingli Luo, Yan Chen, Xiong Chen, Chunhui Wang, Wenlong Zhong   +15 more
wiley   +1 more source

Sliding Mode Control of Vienna Rectifier Under Unbalanced Weak Power Grid

IEEE Access
Three-phase, three-level Vienna rectifiers are widely used in power supplies for the advantages of high power density, low switching voltage stress and low grid side current harmonics.
Yanbing Tian, Hao Yuan, Wenjie Zhu, Xuewu Li, Yunfei Li   +4 more
doaj   +1 more source

Nanozyme‐Reinforced miR‐197‐3p Delivery Resets Metabolic and Senescence Pathways to Rejuvenate Osteoarthritic Cartilage

Advanced Science, EarlyView.
ABSTRACT Osteoarthritis (OA) is a progressive and disabling joint disease driven by oxidative stress, chondrocyte senescence and extracellular matrix (ECM) degradation, yet lacks effective disease‐modifying treatments. In this study, we identified miR‐197‐3p as a previously unrecognized, cartilage‐protective miRNA significantly downregulated in both ...
Xuejie Cai, Zehui Lv, Chen Zhang, Xingdong Yang, Ruoying Wang, Yixin Bian, Jiawei Xu, Han Wang, Yingjie Wang, Long Bai, Jiacan Su, Xisheng Weng   +11 more
wiley   +1 more source

Performance Improvement of Model‐Free Predictive Current Control for PWM Rectifiers Under Nonideal Power Grids

IET Power Electronics
This paper proposes an improved robust predictive current control strategy, combining an improved ultralocal model with a hybrid space vector modulation (HSVM) scheme.
Xing Wang, Yongchang Zhang, Dian Cao, Lei Han   +3 more
doaj   +1 more source