Results 61 to 70 of about 1,719 (169)

Precision planter monitoring system based on mobile communication network

IET Networks, EarlyView., 2022
Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley   +1 more source

Innovation and Growth Investment Through Capital Expenditure as a Channel and Boundary Condition Between Financial Performance and Corporate Reputation

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the role of capital expenditure in the relationship between financial performance and corporate reputation. Using moderation and mediation analyses based on multiple regressions with bootstrapping, we examined data from 121 airlines from 46 countries during 2007–2023.
Larissa M. Batrancea, Andreas‐Daniel Cocis, Ioan Dan Morar   +2 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

Toward a Paradigm Shift in Low‐Temperature SCR Catalyst Design: Defect Engineering and Data‐Driven Integration

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan, Pinjing He, Fan Lü, Hua Zhang   +3 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

A Review on Carbon‐Based and Metal‐Based Anode Materials of Microbial Fuel Cells

Energy Science &Engineering, EarlyView.
Reviews a wide range of anode materials used in microbial fuel cells (MFCs) and evaluates their performance and suitability for scalable energy recovery from wastewater. Defines the essential characteristics of an ideal anode, including high surface area, excellent electrical conductivity, strong biocompatibility, and cost‐effectiveness, while ...
Md. Hamidur Rahman, A. N. M. Mominul Islam Mukut   +1 more
wiley   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Development of a Zebrafish Embryo‐Based Test System for Thyroid Hormone System Disruption: 3Rs in Ecotoxicological Research

Environmental Toxicology and Chemistry, EarlyView.
Abstract There is increasing concern regarding pollutants disrupting the vertebrate thyroid hormone (TH) system, which is crucial for development. Thus, identification of TH system–disrupting chemicals (THSDCs) is an important requirement in the Organisation for Economic Co‐operation and Development (OECD) testing framework.
Lisa Gölz, Melanie Blanc‐Legendre, Maximilian Rinderknecht, Laura Behnstedt, Sara Coordes, Luisa Reger, Sacha Sire, Xavier Cousin, Thomas Braunbeck, Lisa Baumann   +9 more
wiley   +1 more source

CCL26‐Mediated Modulation of Endothelial Secretome by Hypoxia‐Induced Tumor‐Derived Exosomes Enhances Metastatic Progression in Head and Neck Cancer

Head &Neck, EarlyView.
ABSTRACT Background Tumor cells adapt to hypoxia by releasing hiTDExs enriched with bioactive molecules that modulate endothelial behavior and promote tumor progression. This study aimed to characterize how hypoxia‐induced HNSCC exosomes reshape the endothelial secretome and contribute to metastatic potential.
Ozel Capik, Sevil Tekman, Betul Gundogdu, Ahsen Kilic, Rumeysa Polat, Omer Aydin, Omer Faruk Karatas   +6 more
wiley   +1 more source