Results 201 to 210 of about 545,194 (304)

Synergistic Optimization of Cathode Composite Architecture and Stack Pressure for High‐Performance All‐Solid‐State Chloride‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Composite cathode engineering and stack pressure co‐optimization enable a high‐performance all‐solid‐state chloride‐ion battery based on a VOCl/CsSn₀.₉In₀.₀₆₇Cl3/In architecture, delivering 169 mAh g−1 with 500‐cycle durability. Electrode‐resolved impedance tracking via distribution of relaxation times revealed progressive interphase and charge ...
Soutam Panja   +7 more
wiley   +1 more source

Dysautonomia and Postural Orthostatic Syndrome of Hypocapnia in Long COVID Syndrome. [PDF]

open access: yesJ Clin Med
O'Brien S   +14 more
europepmc   +1 more source

Prediction of Long‐Term Prognosis in Patients With Hepatocellular Carcinoma Using the National Clinical Database Risk Calculator

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study aimed to determine the value of the National Clinical Database (NCD) risk calculator in predicting surgical outcomes and long‐term prognosis in patients undergoing resection for hepatocellular carcinoma (HCC). We retrospectively analyzed data from 210 patients with HCC who underwent initial hepatic resection, assessing the relationship ...
Mariko Tsukagoshi   +8 more
wiley   +1 more source

How reliable is deep inspiration breath hold at CT simulation? Clinical impact of surface-guided breathing training in breast cancer radiotherapy. [PDF]

open access: yesRadiat Oncol
Dietrich L   +10 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

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