Showing 141 - 160 results of 1,882 for search '(( 5 a increase ) OR ((( 5 nm decrease ) OR ((( 5 learn decrease ) OR ( 5 min decrease ))))))*', query time: 0.27s Refine Results
  1. 141

    Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution by Kashif Bilal (16896357)

    Published 2022
    “…Educational institutes have been shutdown sporadically across the globe forcing teachers and students to adopt distance learning techniques. Due to the closure of educational institutes, work and learn from home methods have burdened the network resources and considerably decreased a viewer’s Quality of Experience (QoE). …”
  2. 142

    Modeling and Performance Analysis of mmWave and WiFi-Based Vehicle Communications by Mohamed Rjab (21393908)

    Published 2024
    “…With the increasing demand for bandwidth in V2V services, exploring innovative solutions has become imperative. …”
  3. 143
  4. 144

    Crystallization properties of arsenic doped GST alloys by Vinod E. Madhavan (8136774)

    Published 2019
    “…Optical band gap (E<sub>opt</sub>) values of the as-deposited films show a clear increasing trend; 0.6 eV for GST to 0.76 eV for (GST)<sub>0.85</sub>As<sub>0.15</sub>. …”
  5. 145

    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

    Published 2020
    “…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. …”
  6. 146

    Online Feedback in a Visible Learning School: An Investigation to Study the Effect of Online Feedback during Online Sessions Conducted through Nearpod by QANDEEL, KIFAH

    Published 2022
    “…Classroom observations qualitatively collected the data about the characteristics of online feedback, which are summarized as being 1) immediate 2) frequent 3) able to increase the students’ awareness of each other’s mistakes 4) able to allow the students to think critically 5) balanced 6) able to foster equity and establish a sense of community 7) having 3 levels, which are task level, process level and self-regulatory level. …”
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  7. 147

    Long-Chain Acyl-CoA Synthetase 1 Role in Sepsis and Immunity: Perspectives From a Parallel Review of Public Transcriptome Datasets and of the Literature by Jessica Roelands (7516439)

    Published 2019
    “…Finally, while ACSL1 expression was induced in blood in vitro by a wide range of pathogen-derived factors as well as TNF, induction of ACSL4 appeared restricted to flagellated bacteria and pathogen-derived TLR5 agonists and IFNG. …”
  8. 148

    Thrombotic and Hypercoagulability Complications of COVID-19: An Update by Sapha Shibeeb (7903268)

    Published 2021
    “…<p dir="ltr">The current COVID-19 pandemic emerged in December 2019, in China, affecting millions of people worldwide. COVID-19 is mainly a disease of the respiratory system, yet systematic complications have also been reported among SARS-CoV-2 infected patients. …”
  9. 149

    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli (20748758)

    Published 2024
    “…The combined feature reduction techniques named as principal component analysis and linear discriminant analysis, have been applied to generate prominent features and decrease the feature vector dimension. Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …”
  10. 150

    An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

    Published 2024
    “…</p><h3>Methods</h3><p dir="ltr">In this study, we employed machine learning (ML) based case-control study on a diabetic cohort size of 1000 participants form Qatar Biobank to predict diabetes using clinical and bone health indicators from Dual Energy X-ray Absorptiometry (DXA) machines. …”
  11. 151

    Dietary Trichosporon mycotoxinivoron modulates ochratoxin-A induced altered performance, hepatic and renal antioxidant capacity and tissue injury in broiler chickens by Sheraz Ahmed Bhatti (9759633)

    Published 2021
    “…<p dir="ltr">Ochratoxin A (OTA), an important fungal metabolite in foods and feeds has been shown to induce oxidative stress and cellular injuries to human and animal subjects. …”
  12. 152

    Immune thrombocytopenia relapse post covid-19 vaccine in young male patient by Hana Qasim (17151079)

    Published 2021
    “…<p dir="ltr">Immune thrombocytopenic purpura (ITP) is a blood disorder in which antibodies coating platelets cause platelets destruction in the spleen with resultant low platelets count and an increased tendency for bleeding. …”
  13. 153

    Regulative Loop between β-catenin and Protein Tyrosine Receptor Type γ in Chronic Myeloid Leukemia by Luisa Tomasello (702932)

    Published 2020
    “…Furthermore, we demonstrated that the increased expression of β-catenin in PTPRG-negative CML cell lines correlates with DNA (cytosine-5)-methyl transferase 1 (DNMT1) over-expression, which is responsible for PTPRG promoter hypermethylation, while its inhibition or down-regulation correlates with PTPRG re-expression. …”
  14. 154
  15. 155

    A Study on Impact of Change in Contractor’s Project Organization Structure on Project Performance by Sarhan, Sameh Said Mohammed

    Published 2016
    “…Moreover, contractor’s senior managers play an essential and a vital role in establishing and management the project organization structure, ID # 2013122149 Dissertation MSc.CM P a g e | 4 consequently any unnecessary changes and slow or inadequate response to the project organization structure change will lead to negative impact on the project performance like increase the project activity reworks; weak communication between project team; increase of material wastages; time delay and cost overrun. …”
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  16. 156

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

    Published 2023
    “…In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …”
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  17. 157

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

    Published 2023
    “…In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …”
  18. 158

    Akkermansia, a Possible Microbial Marker for Poor Glycemic Control in Qataris Children Consuming Arabic Diet—A Pilot Study on Pediatric T1DM in Qatar by Arun Prasath Lakshmanan (16444663)

    Published 2021
    “…Moreover, genus <i>Akkermansia</i> was higher in the subjects with poor glycemic control (HbA1c > 7.5%). When we classified the subjects based on dietary patterns and nationality, <i>Akkermansia</i> was significantly enriched in Qataris subjects without the CSII therapy consuming Arabic diet than expatriates living in Qatar and eating a Western/mixed diet. …”
  19. 159

    Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images by Ahila A (18394806)

    Published 2022
    “…Early diagnosis is the only way to increase the treatment options which then decreases the death rate and increases the chance of survival in patients. …”
  20. 160

    Platelet Protein-Related Abnormalities in Response to Acute Hypoglycemia in Type 2 Diabetes by Abu Saleh Md Moin (6189512)

    Published 2021
    “…</p><h3>Methods </h3><p dir="ltr">A case-control study of T2D (n=33) and control subjects (n=30) who underwent a hyperinsulinemic clamp to induce normoglycemia in T2D subjects: T2D: baseline glucose 7.5 ± 0.3mmol/l (135.1 ± 5.4mg/dl), reduced to 4.5 ± 0.07mmol/l (81 ± 1.2mg/dl) with 1-hour clamp; Controls: maintained at 5.1 ± 0.1mmol/l (91.9 ± 1.8mg/dl). …”