Results 221 to 230 of about 1,243,089 (305)

Silver Ion‐Mediated [hk1]‐Oriented Sb2Se3 Crystal Growth for Efficient Photoelectrochemical Hydrogen Evolution

Advanced Functional Materials, EarlyView.
Ag+‐mediated hydrothermal crystal engineering promotes preferential [hk1]‐oriented growth of Sb2Se3 via an ultrathin MoOx interlayer, improving crystallinity and suppressing non‐radiative recombination. The optimized Ag+ treatment photocathode delivers 24.7 mA cm−2 at 0 VRHE and improved stability, revealing an ion‐modulated route to high‐performance ...
Ziying Zhang, Zhenbin Wang, Mirjana Dimitrievska, Miloš Baljozović, Yongping Gan, Pardis Adams, Sanghyun Bae, Thomas Moehl, Wenzhe Niu, Xiang jiu Guan, S. David Tilley   +10 more
wiley   +1 more source

Development and validation of machine learning models based on blood routine tests and tumor markers in early screening of primary bronchogenic lung cancer. [PDF]

Transl Lung Cancer Res
Deng W, Pan L, Wang H, Liu Y, Peng X, Yang C, Li J, Han B.   +7 more
europepmc   +1 more source

Dual‐Atom Dopants Activated Ruthenium Single‐Atom Alloy Boosting Hydrogen Evolution Electrocatalysis in Proton Exchange Membrane Water Electrolyzer

Advanced Functional Materials, EarlyView.
Ni1‐Bi1 dual‐atom dopants are achieved for activating Ru lattices without blocking noble atoms. This model exhibits an ultralow overpotential of 11.4 mV and superb stability at 10 mA cm−2 toward hydrogen evolution reaction, enabling a proton exchange membrane water electrolyzer that needs only 2.233 V to reach 3.0 A cm−2 and operates stably at 1.0 A cm−
Shuiping Luo, Zhichao Yang, Xinyi Cai, Peiling Hu, Lei Xie, Junhao Qiu, Wen Chen, Tianou He, Yong Li, Tangting Li, Yuehan Li, Hong Zhu, Fenghao Jiang, Ke Liu, Jinliang Zhu, Shao‐Qing Liu, Xian‐Zhu Fu, Jing‐Li Luo   +17 more
wiley   +1 more source

Comprehensive framework of machine learning and deep learning architectures with metaheuristic optimization for high-fidelity prediction of nanofluid specific heat capacity. [PDF]

Sci Rep
Mathur P, Kumar D, Sheth F, Shaikh H, Gupta AK.   +4 more
europepmc   +1 more source

Engineering a Sonotherapeutic RBC Membrane‐Derived Nanoparticle Platform for the Treatment of Liver Cancer

Advanced Functional Materials, EarlyView.
Herein, an RBC membrane‐derived nanoparticle (CMN‐ICG) is engineered to efficiently deliver a sonosensitizing agent, indocyanine green (ICG), for sonotherapy of hepatocellular carcinoma (HCC). CMN‐ICG exhibits excellent cytocompatibility, significantly enhances hepatocyte uptake, and produces excessive reactive oxygen species (ROS) upon ultrasound ...
Alap Ali Zahid, Aishik Chakraborty, Wei Luo, Juhi Bora, John Joseph Kelly, John Andrew Ronald, Arghya Paul   +6 more
wiley   +1 more source

Machine learning model of clinical laboratory data for 30-day mortality of patients with hodgkin's lymphoma in ICU: a retrospective study based on MIMIC-IV database. [PDF]

Clin Exp Med
Chang M, Xu Z, Xu L, Li C, Song X, Niu L.   +5 more
europepmc   +1 more source

Heteroatom‐Engineering Promoted Co9S8 Bi‐functional Electrocatalyst for Hydrazine‐Assisted Hydrogen Production at Industrial Current Density

Advanced Functional Materials, EarlyView.
Fe and P co‐doped Co9S8 nanocorals (Fe, P‐Co9S8) are successfully synthesized by a heteroatom engineering strategy, which exhibit outstanding bifunctional electrocatalytic performance for both the hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR).
Yuying Meng, Chunyan Xiang, Wenbiao Zhang, Dahai Zeng, Bing Du, Bao Zhong, Yue Jiang, Damien Voiry, Qingsheng Gao   +8 more
wiley   +1 more source

Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations. [PDF]

J Int Med Res
Ridwan AM, Mohi Uddin KM.
europepmc   +1 more source