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Showing 1 - 20 results of 388 for search '(((((( (deep OR did) decrease ) OR ( tone increase ))) OR ( per decrease ))) OR ( mean decrease ))', query time: 0.15s Refine Results
  1. 1
    Regulation of visceral sympathetic tone by A5 noradrenergic neurons in rodents

    Regulation of visceral sympathetic tone by A5 noradrenergic neurons in rodents by Kanbar, Roy

    Published 2011
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  2. 2
    Computation of the X-parameters of multi-tone circuits using multipoint moment expansion

    Computation of the X-parameters of multi-tone circuits using multipoint moment expansion by Kassis, Marco T.

    Published 2017
    “…In this paper, we show how higher order multi-dimensional moments evaluated using multi-point expansions can be used to efficiently compute the X-parameters for two-tone inputs, which are commonly found in general RF circuits.…”
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  3. 3
    Cognitive Vigilance Enhancement using Audio Stimulation of Pure Tone at 250 Hz

    Cognitive Vigilance Enhancement using Audio Stimulation of Pure Tone at 250 Hz by Yahya, Fares

    Published 2021
    “…In this paper, we propose a novel vigilance enhancement method based on audio stimulation of pure tone at 250 Hz. We induced two different levels of vigilance state; vigilance decrement (VD) and vigilance enhancement (VE). …”
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  4. 4
    Did the periodic intensification of routine immunisation strategy (Intensified mission Indradhanush) reduce the demand for pediatric antibiotic formulations in India?

    Did the periodic intensification of routine immunisation strategy (Intensified mission Indradhanush) reduce the demand for pediatric antibiotic formulations in India? by Habib Hasan Farooqui (7861166)

    Published 2025
    “…Interestingly, Trimethoprim sales increased by 17.1% in the first month but decreased by 0.4% per month (IRR 0.959, 95%CI 0.945–0.973) post-intervention. …”
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  5. 5
    Decreased Analgesic Requirements in Super Morbidly Versus Morbidly Obese Patients Undergoing Laparoscopic Sleeve Gastrectomy

    Decreased Analgesic Requirements in Super Morbidly Versus Morbidly Obese Patients Undergoing Laparoscopic Sleeve Gastrectomy by Hamed Elgendy (14148846)

    Published 2020
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  6. 6
    Integration of Wind Catchers in Modern Residential Buildings in the UAE as a Means of Providing Thermal Comfort

    Integration of Wind Catchers in Modern Residential Buildings in the UAE as a Means of Providing Thermal Comfort by Riza, Raashid

    Published 2014
    “…This research is an evaluation of the effectiveness of wind catchers as means of providing thermal comfort for modern residential buildings in the hot arid climates in the UAE. …”
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  7. 7
    Both decreasing interstructural space size and increasing total cover increase shrimp abundance on artificial structures deployed in a UAE seagrass bed

    Both decreasing interstructural space size and increasing total cover increase shrimp abundance on artificial structures deployed in a UAE seagrass bed by Bartholomew, Aaron

    Published 2015
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  8. 8
    The trans-10, cis-12 isomer of conjugated linoleic acid decreases adiponectin assembly by PPARγ-dependent and PPARγ-independent mechanisms

    The trans-10, cis-12 isomer of conjugated linoleic acid decreases adiponectin assembly by PPARγ-dependent and PPARγ-independent mechanisms by Miller, Jessica R.

    Published 2008
    “…Conversely, treatment with GW9662 decreased TG mass and impaired adiponectin oligomer assembly but did not decrease total adiponectin mass. …”
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  9. 9
    Influence of temperature on tire-pavement noise in hot climates: Qatar case

    Influence of temperature on tire-pavement noise in hot climates: Qatar case by Okan, Sirin

    Published 2021
    “…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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  10. 10
    Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA

    Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA by Muhammad Shehab (16904880)

    Published 2022
    “…Driven by the rising deployment of deep reinforcement learning (DRL) techniques that are capable of coping with solving non-convex optimization problems, we employ DRL to predict and optimally tune the IRS phase shift matrices. …”
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  11. 11
    Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach

    Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

    Published 2025
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  12. 12
    Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model

    Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model by Al Adab, Maryam

    Published 2025
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  13. 13
    Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through quantification of mean reflectivity

    Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

    Published 2021
    “…Purpose Establishing the reliability of a new method to check the mean retinal and choroidal reflectivity and using it to find retinal and choroid changes in amblyopia. …”
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  14. 14
    Influence of temperature on tire-pavement noise in hot climates: Qatar case

    Influence of temperature on tire-pavement noise in hot climates: Qatar case by Okan Sirin (14603304)

    Published 2021
    “…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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  15. 15
    Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC)

    Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

    Published 2023
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  16. 16
    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects

    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

    Published 2021
    “…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”
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  17. 17
    The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000)

    The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

    Published 2000
    “…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …”
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  18. 18
    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation

    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

    Published 2023
    “…Deep RL is utilized to model the EV chargers and the EV users. …”
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  19. 19
    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation

    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

    Published 2023
    “…Deep RL is utilized to model the EV chargers and the EV users. …”
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  20. 20
    FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults

    FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

    Published 2024
    “…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”
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