Results 121 to 130 of about 1,427,908 (343)

TWEAK/Fn14 Signaling Drives Oxidative Cardiac Injury in Systemic Lupus Erythematosus: Evidence From Patient Biomarker Studies, Lupus Mouse Models, and Cardiomyocyte Assays

Arthritis &Rheumatology, EarlyView.
Objective Cardiac involvement is a major cause of morbidity in systemic lupus erythematosus (SLE). Tumor necrosis factor–like weak inducer of apoptosis (TWEAK) is elevated in SLE, but its contribution to lupus‐associated cardiac injury is unclear. We investigated the role of TWEAK/fibroblast growth factor–inducible 14 (Fn14) signaling in SLE‐related ...
Yale Liu, Zhu Yan, Xueting Peng, Meixuan Li, Juan Wang, Yan Zhang, Xiaoqian Hu, Mingzhu Zhou, Kaixuan Ren, Dan Zhang, Xingyi Guo, Yumin Xia, Huanhuan Huo   +12 more
wiley   +1 more source

An Efficient Genetic Algorithm for Discovering Diverse-Frequent Patterns

, 2015
Working with exhaustive search on large dataset is infeasible for several reasons. Recently, developed techniques that made pattern set mining feasible by a general solver with long execution time that supports heuristic search and are limited to small ...
Alam, Hasib Ul, Khatun, Shanjida, Shatabda, Swakkhar   +2 more
core   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Prediction of water inflow and evaluation of curtain water-blocking effect in the Panlong lead-zinc mining area

Carsologica Sinica
The importance of metal mineral resources as a vital component of China's social and economic development is self-evident. With the acceleration of industrialization, the demand for mineral resources has increased sharply, and mining activities have ...
Sanxi PENG, Guifu LI, Huimei SHAN, Yunquan LIU, Danmei LU   +4 more
doaj   +1 more source

Bimetallic Synergy in Cocatalyst Alloy Nanoparticles for Efficient Photocatalytic Hydrogen Production

EcoEnergy, EarlyView.
A bimetallic NiAg alloy is assembled on the surface of Zn3In2S6 to construct a NiAg‐Zn3In2S6 composite using a chemical reduction method. By adjusting the different alloy ratios, the hydrogen evolution activity of the optimum Ni0.25Ag0.75‐Zn3In2S6 photocatalyst achieves 21.32 mmol·g−1·h−1. ABSTRACT A bimetallic NiAg alloy is assembled on the surface of
Zhihui Yang, Jiali Ren, Yanjun Xue, Xinyu Wang, Jian Tian   +4 more
wiley   +1 more source

Comparative Analysis of Metal Preloading Technologies in Batteries and Capacitors

EcoEnergy, EarlyView.
Metal preloading strategies play an important role in efficient batteries and hybrid capacitors to compensate for the consumed metals at the first discharge. This article reviews recent progress in preloading technologies in lithium‐ion and other metal‐ion systems.
Xuexue Pan, Yu Zhang, Zhazira Supiyeva, Qamar Abbas   +3 more
wiley   +1 more source

Evaluation of Rock Bolt Support for Polish Hard Rock Mines

E3S Web of Conferences, 2018
The article presents different types of rock bolt support used in Polish ore mining. Individual point resin and expansion rock bolt support were characterized. The roof classes for zinc and lead and copper ore mines were presented.
Skrzypkowski Krzysztof
doaj   +1 more source

AI‐driven circular economy optimization in waste management: A review of current evidence

Environmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade, Ram Narayan Yadav, James O Ijiwade, Ojima Z. Wada   +3 more
wiley   +1 more source