Results 131 to 140 of about 2,765,832 (297)

Edible Pneumatic Battery for Sustained and Repeated Robot Actuation

open access: yesAdvanced Science, EarlyView.
This work presents an edible energy source and valve system to power soft, pneumatically driven edible robots. A chemical reaction between sodium bicarbonate and citric acid generates carbon dioxide gas, and a pressure‐triggered edible valve enables self‐repetitive motion of the edible actuator.
Bokeon Kwak   +5 more
wiley   +1 more source

Leveraging voice biomarkers to quantify chronic pain: a rapid review. [PDF]

open access: yesFront Pain Res (Lausanne)
Tobey-Moore L   +3 more
europepmc   +1 more source

Artificial Tactile Perception System for Exploring Internal and External Features of Objects via Time‐Frequency Features

open access: yesAdvanced Science, EarlyView.
By engaging in different active exploration behaviors, the tactile perception system can generate distinct signal modes, enabling the application of targeted decoding strategies for efficient and accurate perception of both external and internal object features.
Yuanzhi Zhou   +8 more
wiley   +1 more source

The Impact of AVATAR Therapy on Voice Hearing in Everyday Life: ESM Outcomes of the AVATAR2 Trial. [PDF]

open access: yesSchizophr Bull
Edwards CJ   +20 more
europepmc   +1 more source

Epithelium‐Inspired, Ultrahigh‐Toughness, Ultralow‐Hysteresis, and Highly Compressible Polymer Hydrogels as Self‐Powered, Visual, and Underwater Strain Sensors

open access: yesAdvanced Science, EarlyView.
Inspired by epithelial tissue, epithelium‐like structure hydrogels are synthesized. The as‐prepared hydrogels exhibit ultrahigh toughness, ultralow hysteresis, and ultrahigh compressibility, which can be utilized as self‐powered and visual strain sensors.
Yutang Zhou   +4 more
wiley   +1 more source

Vocal self-assessment and auditory-perceptual assessment of voice in women with thyroid disease

open access: gold, 2022
Érika Beatriz de Morais Costa   +1 more
openalex   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

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