Results 101 to 110 of about 74,909 (294)

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review

Advanced Science, EarlyView.
Illustration of advanced characterization techniques to predict battery thermal failure. ABSTRACT Energy storage is essential in accelerating the global transition toward clean and sustainable energy across various sectors. Lithium‐ion batteries (LIBs) have become increasingly significant for energy storage due to their high energy density, low ...
Yongxiu Chen, Zeyu Sun, Wei Zong, Yuhang Dai, Kai Ling Ng, Paul R. Shearing   +5 more
wiley   +1 more source

Robust Tracking Control of a Three-Phase Charger under Unbalanced Grid Conditions

Energies, 2018
This paper presents a robust control technique for three-phase chargers under unbalanced grid conditions. The control method consists of inner-loop robust grid-current control and outer-loop proportional integral control for constant current (CC) and ...
Chivon Choeung, Meng Leang Kry, Young Il Lee   +2 more
doaj   +1 more source

Nernstian Diagnostics of Imperfect Selectivity in Naphthalene Diimide‐Based Aqueous Organic Redox Flow Battery

Advanced Science, EarlyView.
Non‐ideal redox electrolytes still govern the Nernstian behavior of electrode potentials in aqueous organic redox flow batteries under operation. We utilized this effect to analytically predict two scenarios of battery performance degradation. ABSTRACT Aqueous organic redox flow batteries (AORFBs) enhance the sustainability of battery energy storage ...
Faudillah Alhumairah, Viktor Gueskine, Tobias Abrahamsson, Ivan Hetman, Frida Domeij, Per Leandersson, Xenofon Strakosas, Cedrik Wiberg, Reverant Crispin, Mikhail Vagin   +9 more
wiley   +1 more source

Joint Optimal Pricing and Electrical Efficiency Enforcement for Rational Agents in Micro Grids

, 2017
In electrical distribution grids, the constantly increasing number of power generation devices based on renewables demands a transition from a centralized to a distributed generation paradigm.
Bonetto, Riccardo, Fischione, Carlo, Rossi, Michele, Tomasin, Stefano   +3 more
core   +1 more source

Control the Three-level Rectifier Under Unbalanced Grid Conditions

DEStech Transactions on Environment, Energy and Earth Sciences, 2018
This paper proposes a novel control method for Three-level rectifier under unbalanced grid conditions. An average model is established to analyze the influence of the unbalanced factor. It can be seen that the unbalanced factor will generate the negative-sequence current.
openaire   +2 more sources

Light‑Driven Propulsion of Graphene Aerogels in Microgravity

Advanced Science, EarlyView.
Ultralight graphene aerogels convert laser light into thrust. Parabolic‐flight experiments directly compare their motion in microgravity and at 1 g, revealing order‐of‐magnitude enhancements in distance, velocity, and transient thrust when weight and friction are removed (∼50 times enhancement).
Omnia Khattab, Rami Elkaffas, Basel Altawil, Omar Alsuwaidi, Afnan Almubashir, Claire Perfetti, Shanavas Shajahan, Marco Braibanti, Sean Swei, Carlo Saverio Iorio, Yarjan Abdul Samad   +10 more
wiley   +1 more source

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

Advanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao, Yuwen Yan, Miaorong Lin, Jiahui Chen, Jianxin Meng, Xiang Cui, Peng Zhang, Fengyu Li   +7 more
wiley   +1 more source

Smart grids for rural conditions and e-mobility - Applying power routers, batteries and virtual power plants [PDF]

, 2016
Significant reductions of greenhouse gas emission by use of renewable energy sources belong to the common targets of the European Union. Smart grids address intelligent use and integration of conventional and renewable generation in combination with ...
Boehner, Volker, Franz, P., Gallart, R, Girbau Llistuella, Francesc, Hanson, J., Martínez, S., Sumper, Andreas   +6 more
core  

Giant Conductivity Modulation and Chemical Neuromodulation via Proton‐Electron Coupling in a Hydrogen‐Bonded Coordination Polymer

Advanced Science, EarlyView.
A “de‐doping” strategy positions mixed protonic–electronic conductors (MPECs) as adaptive neuromorphic platforms with dynamically tunable transport. Co‐BAND achieves giant conductivity modulation (>106) and chemically tunable synaptic plasticity. Analogous to biological neuromodulation, solvent vapors dynamically reprogram the device's learning rules ...
Kwangmin Park, Jumin Park, Huiyeong Ju, Nasim Arafat, Byoung Gwan Lee, Joohee Oh, Eejin Jang, Hyunseob Lim, Seok Min Yoon, Dae‐Woon Lim, Intek Song   +10 more
wiley   +1 more source