Results 91 to 100 of about 12,573 (260)

Mitochondrial SLC25A46 Rewires Fatty Acid Oxidation to Promote Cell Proliferation and Ferroptosis Evasion in Ovarian Cancer by Stabilizing CACT

Advanced Science, EarlyView.
Mitochondrial SLC25A46 is upregulated in ovarian cancer (OC) and correlates with poor prognosis. SLC25A46 stabilizes CACT to activate fatty acid oxidation, increasing ATP and NADPH production to drive cell proliferation and ferroptosis evasion. SLC25A46 silencing sensitizes OC cells to ferroptosis and carboplatin, offering a promising therapeutic ...
Yunge Gao, Jiatao Hao, Xiaohong Zhang, Meiting Long, Yujing Feng, Xiaoyue Liu, Xuejian Li, Shujuan Liu, Xin Guo, Xiaohui Lv   +9 more
wiley   +1 more source

Synergistic Spin‐Polarization and Single‐Atom Engineering in Magnetic Heterojunctions for Efficient Solar Water Splitting

Advanced Science, EarlyView.
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren, Zhenzhou Guo, Huirong Wu, Peilin Huang, Jie Yang, Jie Zhang, Guangqian Ding, Hongkuan Yuan, Biao Wang   +8 more
wiley   +1 more source

Investigating Fuel Injection Strategies to Enhance Ship Energy Efficiency in Wave Conditions

Polish Maritime Research
The prediction of fuel consumption and resulting transportation costs is a crucial stage in ship design, particularly for conditions involving motion in waves.
Ghaemi Hossein, Zeraatgar Hamid, Barjasteh Mojtaba   +2 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

An energy trade-off management strategy for hybrid ships based on event-triggered model predictive control

International Journal of Electrical Power & Energy Systems
This paper addresses the energy management problem of hybrid ships by proposing an event-triggered model predictive control (ET-MPC) method. The novelty in this work lies in the establishment of an event-triggered mechanism and a state prediction model ...
Diju Gao, Long Chen, Yide Wang
doaj   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Genetic Algorithm-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles

World Electric Vehicle Journal
Enhancing system durability and fuel economy stands as a crucial factor in the energy management of fuel cell hybrid vehicles. This paper proposes an Equivalent Consumption Minimization Strategy (ECMS) based on the Genetic Algorithm (GA), aiming to ...
Xingliang Yang, Yujie Wang
doaj   +1 more source

Fuel Consumption Prediction Model using Machine Learning [PDF]

International Journal of Advanced Computer Science and Applications, 2021
Mohamed A. HAMED, Mohammed H.Khafagy, Rasha M.Badry   +2 more
openaire   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Leveraging Advanced Machine Learning Algorithms for Energy Efficiency and Carbon Footprint Reduction in Diesel Engines

International Journal of Automotive Science and Technology
In this study, machine learning-based models were employed to estimate brake-specific fuel consumption (BSFC) using the data derived from 300 experimental engine tests conducted under varying loads, EGR ratios, and fuel combinations.
Emrah Arda, Mehmet Demir, Samet Çelebi, Üsame Demir, Ömer Seçgin   +4 more
doaj   +1 more source