Results 61 to 70 of about 1,169,779 (313)

Methylphenidate reorganizes cortical hierarchy through dopaminergic modulation

open access: yesNature Communications
Dopaminergic signaling shapes large-scale brain network architecture, constraining neural communication along a principal gradient that spans unimodal sensorimotor to transmodal association cortices.
Dardo Tomasi   +12 more
doaj   +1 more source

Correspondence between cerebral glucose metabolism and BOLD reveals relative power and cost in human brain

open access: yesNature Communications, 2019
The brain primarily uses glucose to generate energy, but the relationship of neuronal activity to glucose utilization is not necessarily a simple linear one.
Ehsan Shokri-Kojori   +5 more
doaj   +1 more source

The prevalence of elder abuse in institutional settings: a systematic review and meta-analysis

open access: yesEuropean Journal of Public Health, 2018
Background A recent study has shown that close to one in six older adults have experienced elder abuse in a community setting in the past year. It is thought that abuse in institutions is just as prevalent.
Yongjie Yon   +4 more
semanticscholar   +1 more source

Engineered Interface and Spatial Arrangement of Inorganic Components for Dendrite‐Free Li Anodes in Carbonate‐Based Electrolyte

open access: yesAdvanced Functional Materials, EarlyView.
A solid‐state ion exchange strategy constructs dentrimental Li2CO3 into a high‐modulus, high‐surface‐energy interface to enable dendrite‐free deposition of Li metal anode in the harsh carbonate‐based electrolyte. Abstract The practical application of lithium metal batteries (LMBs) in carbonate‐based electrolytes is hindered by uncontrolled lithium (Li)
Qiannan Zhao   +5 more
wiley   +1 more source

The effectiveness of different singly administered high doses of buprenorphine in reducing suicidal ideation in acutely depressed people with co-morbid opiate dependence: a randomized, double-blind, clinical trial

open access: yesTrials, 2018
Background Buprenorphine is usually administered to treat opioid use disorder and pain syndromes. This research presents the first study regarding the effectiveness of different singly administered high doses of buprenorphine (a partial opioid agonist ...
Jamshid Ahmadi   +2 more
doaj   +1 more source

Against violence and abuse [PDF]

open access: hybrid, 2021
Sonia Braham   +4 more
openalex   +1 more source

Reconfigurable Magnetic Soft Microrobot for Acoustically Triggered Targeted Bacterial Sterilization

open access: yesAdvanced Functional Materials, EarlyView.
Reconfigurable magnetic soft microrobots integrate in situ‐grown piezoelectric zinc oxide nanorods that produce reactive oxygen species upon acoustic excitation. Combining magnetically guided transport with thermally induced planar reconfiguration, the microrobots achieve targeted delivery and enhanced bacterial sterilization through efficient on ...
Quan Gao   +12 more
wiley   +1 more source

Electrochemical Abuse‐Driven Thermal Runaway in Lithium‐Ion Batteries: Evolution From Beginning‐of‐Life to End‐of‐Life

open access: yesAdvanced Functional Materials, EarlyView.
Electrochemical abuse transforms thermal runaway behavior in lithium‐ion batteries. Through systematic decoupling of degradation mechanisms, this study reveals that lithium plating lowers the onset temperature by 10 °C, electrolyte consumption delays high‐temperature reactions, and capacity fade reduces total heat generation. These mechanistic insights
San Hwang   +12 more
wiley   +1 more source

A Bioresorbable Neural Interface for On‐Demand Thermal Pain Block

open access: yesAdvanced Functional Materials, EarlyView.
Bioresorbable, implantable neural electronics provide dynamic, on‐demand thermal modulation of peripheral nerves for safe, drug‐free pain relief. A microscale thin‐film heater and temperature sensor embedded within biodegradable encapsulants enable precise temperature control via real‐time feedback.
Jeonghwan Park   +23 more
wiley   +1 more source

Machine learning classification of resting state functional connectivity predicts smoking status

open access: yesFrontiers in Human Neuroscience, 2014
Machine learning-based approaches are now able to examine functional magnetic resonance imaging data in a multivariate manner and extract features predictive of group membership.
Vani ePariyadath   +2 more
doaj   +1 more source

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