Results 61 to 70 of about 264,274 (268)

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai   +6 more
wiley   +1 more source

MCR-DL: Mix-and-Match Communication Runtime for Deep Learning

open access: yes2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023
In recent years, the training requirements of many state-of-the-art Deep Learning (DL) models have scaled beyond the compute and memory capabilities of a single processor, and necessitated distribution among processors. Training such massive models necessitates advanced parallelism strategies to maintain efficiency.
Anthony, Quentin   +7 more
openaire   +2 more sources

Boron‐Doped Nano‐Crystalline Coated Carbon Fibers for Phasic Dopamine Sensing

open access: yesAdvanced Healthcare Materials, EarlyView.
This uniform coating presents a mix of graphitic and diamond‐like carbon to create a mechanically and electrically robust alternative for the electrochemical detection of dopamine. The electrodes in this work possess the equivalent sensitivity to the state‐of‐the‐art FSCV dopamine detecting electrodes, whilst demonstrating an ability to withstand ...
Simon J. Higham   +19 more
wiley   +1 more source

Redefining Therapies for Drug‐Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design

open access: yesAdvanced Healthcare Materials, EarlyView.
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales   +11 more
wiley   +1 more source

Disease diagnosis and prediction using deep learning: a review [PDF]

open access: yesPeerJ Computer Science
Deep learning (DL) is a machine learning technique that processes data in a manner influenced by the functioning of the human brain. It is an effective tool for deciphering complicated data and may be applied to many other processes, such as decision ...
Shyamala Krishnan   +1 more
doaj   +2 more sources

Application of Deep Learning in Cancer Prognosis Prediction Model

open access: yesTechnology in Cancer Research & Treatment, 2023
As an important branch of artificial intelligence and machine learning, deep learning (DL) has been widely used in various aspects of cancer auxiliary diagnosis, among which cancer prognosis is the most important part.
Heng Zhang MS   +5 more
doaj   +1 more source

Deep Learning Application for Analyzing of Constituents and Their Correlations in the Interpretations of Medical Images

open access: yesDiagnostics, 2021
The need for time and attention, given by the doctor to the patient, due to the increased volume of medical data to be interpreted and filtered for diagnostic and therapeutic purposes has encouraged the development of the option to support ...
Tudor Florin Ursuleanu   +7 more
doaj   +1 more source

Hybrid Nanofibers for Multimodal Accelerated Wound Healing

open access: yesAdvanced Healthcare Materials, EarlyView.
Fabrication of wound healing scaffolds based on biocompatible nanofibers. Nanofibers offering high surface area, flexibility, and biocompatibility significantly improved the healing outcome in vivo. Histological, immunological, and anti‐inflammatory markers are noticeably better in treated wounds.
Viraj P. Nirwan   +15 more
wiley   +1 more source

Biomimetic Copper‐Doped Nano‐Aluminum Adjuvant Potentiates Therapy in Chemoresistant Acute Myeloid Leukemia

open access: yesAdvanced Healthcare Materials, EarlyView.
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He   +10 more
wiley   +1 more source

Deep Learning-Based Predictive Control of Vehicle-to-Grid Onboard Charger Back Stage Models

open access: yesIEEE Access
To address the insufficient modeling accuracy and slow dynamic response of the Capacitor-Inductor-Inductor-Capacitor (CLLC) resonant converter in Vehicle-to-Grid (V2G) automotive onboard charger, a deep learning-based model predictive control method for ...
Yongquan Zhang   +5 more
doaj   +1 more source

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