Results 111 to 120 of about 2,055,840 (263)

Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture

open access: yesAdvanced Healthcare Materials, EarlyView.
This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus   +9 more
wiley   +1 more source

3D‐Printable, Honeycomb‐Inspired Tissue‐Like Bioelectrodes for Patient‐Specific Neural Interface

open access: yesAdvanced Materials, EarlyView.
3D printed MRI‐compatible tissue‐like neural electrodes tailored to individual gyral patterns. This honeycomb‐inspired printable gel electrode (HiPGE) employs a bioinspired architecture with soft hydrogels, engineered to match the softness of brain tissue.
Marzia Momin   +12 more
wiley   +1 more source

Building like a Coral—Parallelized, Multiscale Biofabrication

open access: yesAdvanced Materials, EarlyView.
Corals build stiff, strong, and inherently circular skeletal materials under resource‐ and energy‐limited conditions—offering blueprints for transformative materials. We synthesize the current understanding of coral biomineralization and reframe coral growth as a multiscale, parallelized biofabrication process.
Asma Rehman   +5 more
wiley   +1 more source

Energy justice and gender: bridging equity, access, and policy for sustainable development

open access: yesDiscover Sustainability
Clean energy transitions are not just about technology. They are also about people, equity, and justice. Women play a pivotal role in advancing sustainable energy solutions, yet sociocultural, financial, and institutional barriers continue to limit their
Raghu Raman   +3 more
doaj   +1 more source

Unilateral Ankle‐Foot Exoneuromusculoskeleton with Balance‐Sensing Feedback for Self‐Help Telerehabilitation after Stroke

open access: yesAdvanced Robotics Research, EarlyView.
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye   +16 more
wiley   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

open access: yesAdvanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour   +3 more
wiley   +1 more source

A results-based monitoring and evaluation system for the Namibian Child Support Grant programme

open access: yesAfrican Evaluation Journal
Background: Robust results-based monitoring and evaluation (ME) systems allow government to track the progress and impact of development programmes. This article focused on the current ME system as adopted for the Child Support Grant (CSG) programme of ...
Brigitte Nshimyimana, Babette Rabie
doaj   +1 more source

CD207‐Positive Dendritic Cells Promote Emphysema Through CD8+ T Cell Pathway in Chronic Obstructive Pulmonary Disease

open access: yesAdvanced Science, EarlyView.
CD207+ dendritic cells (DCs) drive emphysema by promoting CD8⁺ T cell cytotoxicity via Birbeck granule‐dependent MHC‐I antigen presentation. This DC subset is expanded by cigarette smoke‐induced oxidative stress, which triggers granulocyte‐macrophage colony‐stimulating factor (GM‐CSF) release from airway epithelium.
Shurui Xuan   +10 more
wiley   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

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