Bariatric Surgery Improves Serum CD40L Levels as a Predictor of Cardiovascular Risk: Systematic Review and Meta-analysis by Jamialahamdi, Tannaz

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A computational model to predict the structural and functional consequences of missense mutations in O6-methylguanine DNA methyltransferase by Thirumal Kumar, D

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USING EMBEDDED MACHINE LEARNING IN THE PHYSICAL WORLD TO DETECT TOXICITY IN SPOKEN LANGUAGE by ABU NADA, AHLAM HUSNI

“…In our study, quantization demonstrated a significant reduction in model size by almost fourfold and a 3.3-fold decrease in RAM usage. …”
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Adult appendicitis score versus Alvarado score: A comparative study in the diagnosis of acute appendicitis by Ghali, Mohamed Said

“…The correlation between Alvarado and AAS with HP was significant. AAS ≥ 16 presented sensitivity and specificity of 50 % and 75.47 %, respectively, with PPV of 97.96 % and NPV of 6.02 %, with an accuracy of 51.04 %. …”
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Impact of time synchronization error on the mode-shape calculation in wireless sensor networks for structural health monitoring by Abdaoui, Abderrazak

“…Numerical results prove that the time synchronization error has a significant impact on the accuracy of the mode shape calculation. …”
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Sleeping habits during COVID-19 induced confinement: A study from Jordan by Alomari, Mahmoud A.

“…In addition, gender (p < 0.001) is an independent predictor of nighttime sleeping. Being a male is associated with a "decrease" and being a female is associated with an "increase" in nighttime sleeping hours (p < 0.05). …”
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Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Kserawi, Fawaz

“…However, billing accuracy can be degraded by using such additive noise techniques. …”
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Comparison of performance and health indicators between perimenopausal and postmenopausal obese women: the effect of high-intensity interval training (HIIT). by Jabbour, Georges

“…After 6 weeks, a significant decrease in anthropometric variables was observed for all groups (P < 0.01). …”
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A Framework for Time-Driven Activity-Based Costing for Orthopedic Procedure by Holozada, Bayan Hani

“…Seven human resources out of eight are significant to model. Accuracy of optimized model is equal to 3%, with RMSE equal to 6. …”
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Impact assessment of non-indigenous jellyfish species on the estuarine community dynamic: A model of medusa phase by Muha, Teja Petra

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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

“…The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
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Anaerobic and aerobic contributions to repeated supramaximal cycling exercises and their adaptation to high-intensity interval training in obese perimenopausal and postmenopausal w... by Jabbour, Georges

“…After HIIT, anaerobic contributions increased significantly in both groups (P < 0.01, respectively). …”
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Plasma volume variations in response to high intensity interval training in obese women: The influential role of menopausal status and age by Jabbour, Georges

“…On the other hand, menopause status was an independent predictor for PV decreases after warm-up (r = 0.33) as well after SCT (r = 0.38). …”
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Computational Analysis for Bioconvection of Microorganisms in Prandtl Nanofluid Darcy-Forchheimer Flow across an Inclined Sheet by Wang, Jianfeng

“…This procedure is widely used for the solution of such problems as it is efficient and cost-effective with a fifth-order accuracy. The significance of immersed parameters on the velocity, temperature, concentration, and bioconvection is shown through figures. …”
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Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Butt, Muhammad Atif

“…We find that input quantization partially degrades the efficacy of adversarial and backdoor attacks at the cost of a slight decrease in accuracy over clean inputs. By analyzing the explanations generated by SHAP, we identify that the decision of a FER model is largely influenced by features such as eyes, alar crease, lips, and jaws. …”
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Par-eXpress: A tool for analysis of sequencing experiments with ambiguous assignment of fragments in parallel by Kutlu, Mucahid

“…In our experiments, we show that our approach achieves significant speedups over eXpress without decreasing its accuracy. …”
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Prediction of critical total drawdown in sand production from gas wells: Machine learning approach by Alakbari, Fahd Saeed

“…The SVM model is an alternative method to predict the CTD with higher accuracy. This study used 23 datasets to develop the proposed models. …”
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Associations of Recreational and Nonrecreational Physical Activity and Body Weight Change on Cardiovascular Disease Mortality During the Obesogenic Transition in the United States:... by Cheema, Birinder S.

“…We found weak (but nonstatistically significant) evidence of mediation effects of body weight change on mortality. …”
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Adult Hospital Inpatient Experience in Qatar And Associated Factors: A Cross-Sectional Study by Salem, Noora Abdulla Awad

“…Patient’s overall health rating was a statistically significant predictor for all HCAHPS domains and individual items excluding communication with nurses and communication with doctors’ domains. …”
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Mental health, burnout and resilience in community pharmacists during the COVID-19 pandemic: A cross-sectional study by Zeana, Samir AlKudsi

“…Fear of COVID-19 was a statistically significant and an independent predictor of depression, anxiety, and stress levels. …”
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