Results 151 to 160 of about 38,574 (258)

A novel ANN-based approach for fault detection and classification in modern TCSC-compensated transmission lines integrated with DFIG-based wind farms utilizing WST. [PDF]

Sci Rep
Oda ES, Habib AMM, Elnaghi BE, Mansour NM.   +3 more
europepmc   +1 more source

Auto‐Downregulation of the Florigen FT Production Prevents Precocious Flowering in Plants

Advanced Science, EarlyView.
This study shows that the leaf vein‐expressed FD complexes with the florigen FT to bind DNA motifs in FT promoter, which antagonizes CONSTANS‐mediated FT activation to feedback down‐regulate FT expression. This prevents an excessive induction of FT expression by inductive photoperiods, thereby precluding precocious transition to flowering in ...
Shu Tian, Xiao Luo, Bowen Cui, Yuehui He
wiley   +1 more source

Structural integrity vs. clinical utility: a critical review of bio-inductive scaffolds and autologous alternatives in rotator cuff repair. [PDF]

Front Med (Lausanne)
Lan P, Fang Z, Wu B, Zhang J.
europepmc   +1 more source

ROS Self‐Supply Nanoplatform Based on Fenton Catalyst for Chemodynamic and Immunotherapy: Reprogramming Cold Tumor Into Hot Tumor in Cancer Treatment

Advanced Science, EarlyView.
A multifunctional HA‐conjugated nanoplatform (HA‐PGMC) integrates CuO2, glucose oxidase, and mil‐100 to enable cascade catalytic ROS generation in tumor microenvironments. This self‐supplying ROS strategy induces immunogenic cell death, reprograms “cold” tumors into “hot” ones, and synergizes with PD‐L1 blockade, achieving potent chemodynamic ...
Man Lung Lee, Jack Chun Hin Chen, Wai Wing Cheng, Kwan Yee Lau, Hiu Yee Kwan, Ngar‐Yun Ellen Poon, Hung‐Wing Li   +6 more
wiley   +1 more source

Challenges of Standard Pediatric Epilepsy Monitoring and the Potential Benefits of Contactless Sensor Technologies: Exploratory Qualitative Study. [PDF]

J Med Internet Res
Öhl N, Strack D, Kusnik SM, Link I, Hofmann M, Steigleder T, Weisser A, Ostgathe C, Trollmann R, Heckel M.   +9 more
europepmc   +1 more source

TME/NIR Dual‐Responsive Zinc‐Based Targeted Nanoagonist for Multimodal Amplification of STING‐Mediated Cancer Immunotherapy

Advanced Science, EarlyView.
A multifunctional nanoagonist (cDZ@IP) enables nano‐metabolite–driven multimodal activation of the STING pathway and enhanced immune recognition, achieving potent antitumor immunity and suppressing tumor growth and metastasis. This strategy highlights the rational design of therapeutic metabolites and establishes a new paradigm bridging nanomedicine ...
Kepeng Hu, Jiawei Wang, Wei Zhang, Zhixuan Wu, Jing Chen, Yujing He, Xiyue Duan, Yaoting He, Xin Xin, Haoyi Xiang, Yijing Wang, Chengwei Wu, Yang Yi, Qing Meng, Yuqian Qiao, Kui Cheng, Xiaojun Long, Zhangfa Song   +17 more
wiley   +1 more source

DualKG-DC: A Drug-Centric Dual-Layer Knowledge Graph Framework for Drug Combination Prediction. [PDF]

J Med Syst
Gao Z, Perkins SW, Parameswaran S, Xu R.
europepmc   +1 more source

Selenium Nanoparticles Selectively Target KRAS G13D to Inhibit Colorectal Cancer

Advanced Science, EarlyView.
The mechanisms of SeNPs therapy in cancer treatment, encompass three parallel actions: (1) seleno‐amino acids, key metabolites, upregulate GPX2 expression, thereby inhibiting tumor metastasis via the GPX2‐HIF1α‐VEGF signaling pathway; (2) selenite (SeO32−), an inorganic metabolite, forms hydrogen bonds with amino acid residues 13–17 of the KRAS G13D ...
Xiaoting Liu, Chong Wu, Shiyao Song, Li Ma, Shaoqing Huang, Yuting He, Qinghai Li, Yanzhou Chang, Dan Jiang, Yong Mei, Junchao Cai, Zhenshuang Du, Tianfeng Chen, Weiling He   +13 more
wiley   +1 more source

Talkative battery: super-safe batteries with power-modulation based internal and external sensor data collection. [PDF]

Commun Eng
Diers J, Beiranvand H.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source