Results 71 to 80 of about 8,590 (218)

Artificial Intelligence‐Based Body Composition Analysis Reveals Sex‐Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study

open access: yesAdvanced Science, EarlyView.
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li   +13 more
wiley   +1 more source

The Role of Multilevel Inverters in Mitigating Harmonics and Improving Power Quality in Renewable-Powered Smart Grids: A Comprehensive Review

open access: yesEnergies
The world is increasingly turning to renewable energy sources (RES) to address climate change issues and achieve net-zero carbon emissions. Integrating RES into existing power grids is necessary for sustainability because the unpredictability and ...
Shanikumar Vaidya   +2 more
doaj   +1 more source

Cyber–physical perspective on smart grid design and operation

open access: yesIET Cyber-Physical Systems, 2018
Emerging computation and communication technologies ubiquitously deployed in smart grids introduce unprecedented opportunities by enabling vigorous development of innovative business models and applications that aim for improving system efficiency ...
Bo Chen   +3 more
doaj   +1 more source

Tumor‐Specific Delivery of CD28 siRNA via Lyso‐PC C‐16 Modified Lipid Nanoparticles Overcomes Anti‐PD‐1 Resistance by Remodeling Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
This study develops 16:0 LPC‐modified lipid nanoparticles (LPC‐LNPs) with cancer cell specificity by exploiting altered tumor lipid metabolism. LPC‐LNPs encapsulating Cd28 small interfering RNA (LPC‐LNP‐Cd28) knock down cancer cell CD28 without affecting T cells, inflame the tumor microenvironment, and overcome anti‐PD‐1 resistance.
Yangyang Chai   +12 more
wiley   +1 more source

Reconstruction of Ultrafine MnS‐Induced Vacancy‐Rich Co9S6.29 Precatalysts in Mesoporous S‐Doped N‐Rich Hollow Carbon Nanotubes Enables Dynamic O‐Vacancy Cycling for High‐Performance Zn‐Air Batteries

open access: yesAdvanced Science, EarlyView.
We develop vacancy‐rich Co9S6.29 precatalysts formed via ultrafine MnS‐induced lattice distortion in mesoporous S‐doped N‐rich hollow carbon nanotubes (CM@SNHCTs). This CM@SNHCT precatalyst is reconstructed into catalytically‐active cathode phases that enable efficient oxygen reduction/evolution reactions (ORR/OER) through dynamic O‐vacancy formation ...
Debarani Devi Khumujam   +10 more
wiley   +1 more source

A Review of Failure Modes and Safety Strategies of Lithium‐Ion Batteries from Materials to Systems

open access: yesAdvanced Science, EarlyView.
A cascade‐aware framework is presented for lithium‐ion battery safety, linking thermal runaway initiation, acceleration, runaway reaction, and propagation with material‐, cell/pack‐, and system‐level interventions. By integrating failure mechanisms, quantitative safety indicators, and staged interception strategies, this review highlights how safer ...
Jin Hyeok Yang   +8 more
wiley   +1 more source

Internet of Things-Based Robust Green Smart Grid

open access: yesComputers
Renewable energy sources play a critical role in all governments’ and organizations’ energy management and sustainability plans. The solar cell represents one such renewable energy resource, generating power in a population-free circumference ...
Rania A. Ahmed   +6 more
doaj   +1 more source

Advancing the Design of High‐Efficiency Printable Hole‐Conductor‐Free Mesoscopic Perovskite Solar Cells Through Machine Learning

open access: yesAdvanced Science, EarlyView.
Based on the largest printable mesoscopic perovskite solar cells database we established, stacking model achieved precise PCE prediction (R2 = 0.73, MAE = 2.18%). Multiple experiments verified the accuracy of the model, which guided the fabrication of high‐PCE devices with an efficiency of 19.36%.
Hao Meng   +9 more
wiley   +1 more source

Recent Advances in Carbon Cathode Materials toward High‐Performing Zinc‐Ion Hybrid Supercapacitors

open access: yesAdvanced Science, EarlyView.
Aqueous zinc‐ion hybrid supercapacitors (ZHSCs) have emerged as promising next‐generation electrochemical energy‐storage devices. Porous carbon materials have been extensively studied as cathodes, with advances in tailoring pore structures and material properties to enhance performance.
Take Hirooka   +3 more
wiley   +1 more source

Emerging Trends in Electric Vehicles, Smart Grids, and Smart Cities

open access: yesEnergies
Recently, electric vehicles (EVs), smart grids (SGs), energy storage (ES), and smart cities have been gaining momentum worldwide, with advanced technologies being introduced to create sustainable and reliable power grids that optimize the utilization of ...
Surender Reddy Salkuti
doaj   +1 more source

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