Articles with "rvm" as a keyword



Pain Inhibits Pain: an Ascending-Descending Pain Modulation Pathway Linking Mesolimbic and Classical Descending Mechanisms

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Published in 2018 at "Molecular Neurobiology"

DOI: 10.1007/s12035-018-1116-7

Abstract: The ability to modulate pain perception is as critical to survival as pain itself. The most known pain modulation pathway is the PAG–RVM (periaqueductal gray–rostral ventromedial medulla) descending system. In this study, we hypothesized that… read more here.

Keywords: rvm; pain modulation; modulation pathway; pain ... See more keywords

Increase of histone acetylation in the GABAergic neurons in the rostral ventromedial medulla associated with mechanical hypersensitivity after repeated restraint stress

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Published in 2018 at "Brain Research Bulletin"

DOI: 10.1016/j.brainresbull.2018.09.004

Abstract: Psychophysical stresses frequently increase sensitivity and response to pain, which is termed stress-induced hyperalgesia (SIH). However, the mechanism remains unknown. The rostral ventromedial medulla (RVM) and locus coeruleus (LC) are core elements of the descending… read more here.

Keywords: acetylation; stress; restraint stress; repeated restraint ... See more keywords

Short-duration physical activity prevents the development of activity-induced hyperalgesia through opioid and serotoninergic mechanisms

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Published in 2017 at "PAIN"

DOI: 10.1097/j.pain.0000000000000967

Abstract: Abstract Regular physical activity prevents the development of chronic muscle pain through the modulation of central mechanisms that involve rostral ventromedial medulla (RVM). We tested if pharmacological blockade or genetic deletion of mu-opioid receptors in… read more here.

Keywords: activity induced; sedentary mice; mice; rvm ... See more keywords

The Effectiveness of Remote Video Monitoring on Fall Prevention and Nurses' Acceptance.

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Published in 2023 at "Journal of nursing care quality"

DOI: 10.1097/ncq.0000000000000716

Abstract: BACKGROUND The use of remote visual monitoring (RVM) technology as a "telesitter" in hospitals can reduce falls and increase the efficiency of patient observation. PURPOSE This study aimed to examine RVM effectiveness as a strategy… read more here.

Keywords: nurses acceptance; rvm technology; rvm; monitoring ... See more keywords

Algal bloom prediction by support vector machine and relevance vector machine with genetic algorithm optimization in freshwater reservoirs

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Published in 2017 at "Engineering Computations"

DOI: 10.1108/ec-11-2015-0356

Abstract: Purpose The purpose of this paper is to examine the applicability and capability of models based on a genetic algorithm and support vector machine (GA-SVM) and a genetic algorithm and relevance vector machine (GA-RVM) for… read more here.

Keywords: vector; algal bloom; genetic algorithm; vector machine ... See more keywords

Dissecting the interaction of pain and respiration at the level of the rostral ventromedial medulla via cell-type specific manipulations

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Published in 2024 at "Physiology"

DOI: 10.1152/physiol.2024.39.s1.2553

Abstract: Opioid drugs are highly effective for pain management, but they also cause respiratory depression. This life-threatening side-effect of opioid use occurs due to the interacting and/or overlapping neuronal circuits that regulate pain and breathing. Understanding… read more here.

Keywords: rvm; ventromedial medulla; pain respiration; physiology ... See more keywords

Optogenetic Evidence for a Direct Circuit Linking Nociceptive Transmission through the Parabrachial Complex with Pain-Modulating Neurons of the Rostral Ventromedial Medulla (RVM)

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Published in 2017 at "eNeuro"

DOI: 10.1523/eneuro.0202-17.2017

Abstract: Abstract The parabrachial complex (PB) is a functionally and anatomically complex structure involved in a range of homeostatic and sensory functions, including nociceptive transmission. There is also evidence that PB can engage descending pain-modulating systems,… read more here.

Keywords: modulating neurons; parabrachial complex; pain modulating; rvm ... See more keywords

Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers

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Published in 2021 at "Frontiers in Psychiatry"

DOI: 10.3389/fpsyt.2021.771562

Abstract: Background: Due to its convenience, wide availability, low usage cost, neural machine translation (NMT) has increasing applications in diverse clinical settings and web-based self-diagnosis of diseases. Given the developing nature of NMT tools, this can… read more here.

Keywords: machine; information; machine translation; neural machine ... See more keywords

Short-Term Forecasting of Unplanned Power Outages Using Machine Learning Algorithms: A Robust Feature Engineering Strategy Against Multicollinearity and Nonlinearity

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Published in 2025 at "Energies"

DOI: 10.3390/en18184994

Abstract: Efficient power grid operations and effective business strategies require accurate prediction of power outages. However, predicting outages is a difficult task due to the large amount of heterogeneous, random, intermittent, and non-linear power grid data… read more here.

Keywords: rvm; multicollinearity; power outages; power grid ... See more keywords