Results 41 to 50 of about 40,368 (229)

Growth Rate of the Weight Distribution of Doubly-Generalized LDPC Codes: General Case and Efficient Evaluation

open access: yes, 2009
The growth rate of the weight distribution of irregular doubly-generalized LDPC (D-GLDPC) codes is developed and in the process, a new efficient numerical technique for its evaluation is presented.
Chiani, Marco   +3 more
core   +1 more source

Global Trends and Advances in Traumatic Brain Injury

open access: yesBrain Health, EarlyView.
ABSTRACT Traumatic brain injury (TBI) remains a major global public health challenge, contributing substantially to morbidity and mortality while imposing a significant socioeconomic burden. In recent years, notable progress has been made in understanding TBI pathophysiology, classification, monitoring, and treatment.
Yuan Zhuang   +3 more
wiley   +1 more source

Vagus Nerve Stimulation Reduces Neuroinflammation Through Microglia Polarization Regulation to Improve Functional Recovery After Spinal Cord Injury

open access: yesFrontiers in Neuroscience, 2022
BackgroundSpinal cord injury (SCI) is a devastating disease that lacks effective treatment. Interestingly, recent studies indicated that vagus nerve stimulation (VNS), neuromodulation that is widely used in a variety of central nervous system (CNS ...
Hui Chen   +9 more
doaj   +1 more source

Adaptive Group Shuffled Decoding for LDPC Codes

open access: yes, 2017
We propose new grouping methods for group shuffled (GS) decoding of both regular and irregular low-density parity check cods. These methods are independent of the check-to-variable message formula used.
Chang, Tofar C. -Y., Su, Yu T.
core   +1 more source

Interventional therapies for chronic heart failure: An overview of recent developments

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 1081-1094, April 2025.
Abstract Heart failure (HF), the final manifestation of most cardiovascular diseases, has become a major global health concern, affecting millions of individuals. Despite basic drug treatments, patients present with high morbidity and mortality rates. However, recent advancements in interventional therapy have shown promising results in improving the ...
Bingchen Guo   +7 more
wiley   +1 more source

Acute Vagus Nerve Stimulation Facilitates Short Term Memory and Cognitive Flexibility in Rats

open access: yesBrain Sciences, 2022
Vagus nerve stimulation (VNS) causes the release of several neuromodulators, leading to cortical activation and deactivation. The resulting preparatory cortical plasticity can be used to increase learning and memory in both rats and humans.
Christopher M. Driskill   +4 more
doaj   +1 more source

Effect of neurostimulation on cognition and mood in refractory epilepsy. [PDF]

open access: yes, 2018
Epilepsy is a common, debilitating neurological disorder characterized by recurrent seizures. Mood disorders and cognitive deficits are common comorbidities in epilepsy that, like seizures, profoundly influence quality of life and can be difficult to ...
Chan, Alvin Y   +3 more
core   +1 more source

A guide to neuromodulation in drug‐resistant epilepsy

open access: yesEpileptic Disorders, EarlyView.
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh   +10 more
wiley   +1 more source

The potential of invasive and non-invasive vagus nerve stimulation to improve verbal memory performance in epilepsy patients

open access: yesScientific Reports, 2022
It has been demonstrated that acute vagus nerve stimulation (VNS) improves word recognition memory in epilepsy patients. Transcutaneous auricular vagus nerve stimulation (taVNS) has gained interest as a non-invasive alternative to improve cognition.
Ann Mertens   +10 more
doaj   +1 more source

Solving the minimum labelling spanning tree problem using hybrid local search [PDF]

open access: yes, 2007
Given a connected, undirected graph whose edges are labelled (or coloured), the minimum labelling spanning tree (MLST) problem seeks a spanning tree whose edges have the smallest number of distinct labels (or colours).
Consoli, S   +3 more
core  

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