Results 171 to 180 of about 59,522 (246)

Reply to Zhang: Causal identification, social networks, and biological aging. [PDF]

open access: yesProc Natl Acad Sci U S A
Lee B   +4 more
europepmc   +1 more source

The connection between cumulative fatigue and the use of Social Networking Services among Japanese junior high school students

open access: yesThe connection between cumulative fatigue and the use of Social Networking Services among Japanese junior high school students
Purpose: This study aimed to obtain suggestions for health education in order to improve the everyday habits and clarify the effects of the use of Social Networking Systems (SNS) by Japanese junior high school students on their sleeping habits and overall fatigue as measured by scores on the Cumulative Fatigue Symptoms Index (CFSI).
openaire  

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

open access: yesAdvanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen   +9 more
wiley   +1 more source

Remote Magnetomechanical Neuromodulation Uncovers Therapeutic Mechanisms for Alleviating Parkinsonian Symptoms in Freely Moving Mice

open access: yesAdvanced Science, EarlyView.
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters   +12 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Long-term musculoskeletal impacts on the functionality of Brazilian patients after SARS-CoV-2: assessment through telehealth. [PDF]

open access: yesFront Rehabil Sci
da Silva Pereira F   +6 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

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