Results 261 to 270 of about 1,148,117 (381)

A Multiscale Pore Analysis Method for Polymer Electrolyte Membrane Fuel Cell Catalyst Layers Validated and Exemplified by Correlating Microstructure with Production Process Parameters

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
A multiscale pore analysis method is presented for polymer electrolyte membrane fuel cell catalyst‐coated membranes (CCMs), integrating mercury intrusion porosimetry, focused ion beam scanning electron microscopy image analysis via a custom MATLAB tool, and optical/atomic‐force microscopy.
Ahammed Suhail Odungat   +8 more
wiley   +1 more source

Toward Sustainable, High‐Performance, and Scalable On‐Chip Biopower: Microbial Biobatteries with 3D‐Printed Stainless Steel Anodes and Spore‐Based Biocatalysts

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study presents the first integration of 3D‐printed stainless‐steel gyroid scaffolds with spore‐based biocatalysts in microscale bioenergy devices, addressing key challenges in microbial‐electronic interfacing. Motivated by the need for sustainable power in IoT systems, the work advances biobatteries toward real‐world use, offering shelf‐stability,
Anwar Elhadad   +5 more
wiley   +1 more source

Clinical Scales Do Not Reliably Identify Acute Ischemic Stroke Patients With Large-Artery Occlusion

open access: yesStroke, 2016
G. Turc   +11 more
semanticscholar   +1 more source

Deep Learning Model for Predicting Operative Mortality After Total Gastrectomy: Analysis of the Japanese National Clinical Database (NCD)

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning‐based prediction model for operative mortality using the National Clinical Database (NCD). The model achieved a C‐statistic of 0.74. ABSTRACT Background Radical gastrectomy with lymph node dissection is the primary treatment for gastric cancer.
Ryosuke Fukuyo   +5 more
wiley   +1 more source

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