Par-eXpress: A tool for analysis of sequencing experiments with ambiguous assignment of fragments in parallel by Kutlu, Mucahid

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Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection by Behzad, Vaferi

“…The model's accuracy is superior to that of conventional artificial neural networks, achieving outstanding prediction results with mean absolute error (MAE) = 0.11, mean squared error (MSE) = 0.31, mean absolute percentage error (MAPE) = 1.14%, and R-squared (R2) = 0.9994 based on 208 actual sensor sensitivities. …”
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Turning point in COVID-19 severity and fatality during the pandemic: a national cohort study in Qatar by Chemaitelly, Hiam

“…The post-first omicron phase saw a drastic drop to 0.10 (95% CI 0.08 to 0.14) per 1000 person years, a 95.4% reduction. …”
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A simplified methodology for renewable energy integration and harmonic current reduction in hybrid micro grid by Ramu, Senthil Kumar

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Aldehyde dehydrogenase expression in Metaphire posthuma as a bioindicator to monitor heavy metal pollution in soil by Panday, Raju

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Altered inflow hemodynamics affects heart development in a side specific manner in the embryonic heart by Alser, Maha W

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Debt maturity, financial crisis and corporate performance in GCC countries: A dynamic-GMM approach by Zeitun, Rami

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Conversion of a mixture of date palm wastes to mesoporous activated carbon for efficient dye adsorption by Alharbi, Hattan A.

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Aquaculture sediments amended with biochar improved soil health and plant growth in a degraded soil by Sajid, Mehmood

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A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems by Said, A.

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Solar hydrogen production via a samarium oxide-based thermochemical water splitting cycle by Bhosale, Rahul

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Enhanced photovoltaic performance with co-sensitization of a ruthenium(ii) sensitizer and an organic dye in dye-sensitized solar cells by Mehmood, Umer

“…Upon optimization, the device made of 0.3 mM N3 + 0.2 mM RK-1 yielded Jsc = 18.1 mA cm2, Voc = 888 mV, FF = 57.44, and ? …”
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Optimized intake manifold designs and their effects on the operation and emissions of a gas-to-liquid diesel engine by Abdellatif, Y. M.

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Flow and heat transfer analysis of Jeffery nano fluid impinging obliquely over a stretched plate by Mehmood, Rashid

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High-quality and anti-inflammatory diets and a healthy lifestyle are associated with lower sleep apnea risk by Melaku, Yohannes Adama

“…Results: The prevalence of high sleep apnea risk was 25.1%. Higher DII was positively associated with sleep apnea (odds ratioQuintile 5 vs Quintile 1 = 1.55; 95% confidence interval, 1.24-1.94; P for trend < .001), whereas higher HEI was associated with reduced sleep apnea risk (odds ratioQuintile 5 vs Quintile 1 = 0.72; 95% confidence interval, 0.59-0.88; P for trend = .007). …”
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Morphology, Nucleation, and Isothermal Crystallization Kinetics of Poly(ε-caprolactone) Mixed with a Polycarbonate/MWCNTs Masterbatch by Gumede, Thandi P.

“…The nanocomposites contained 0.5, 1.0, 2.0, and 4.0 wt % MWCNTs. Even though PCL and PC have been reported to be miscible, our DSC (Differential Scanning Calorimetry), SAXS (Small Angle X-ray Scattering), and WAXS (Wide Angle X-ray Scattering) results showed partial miscibility, where two phases were formed (PC-rich and PCL-rich phases). …”
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Post stroke health-related quality of life, stroke severity and function: A longitudinal cohort study by Hartley, Tasneem

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CD146, a novel target of CD44-signaling, suppresses breast tumor cell invasion. by Ouhtit, Allal

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Morphology, nucleation, and isothermal crystallization kinetics of poly(butylene succinate) mixed with a polycarbonate/MWCNTs masterbatch by Gumede, Thandi P.

“…The nanocomposites contained 0.5, 1.0, 2.0, and 4.0 wt% MWCNTs. Differential scanning calorimetry (DSC), small angle X-ray scattering (SAXS) and wide angle X-ray scattering (WAXS) results indicate that the blends are partially miscible, hence they form two phases (i.e., PC-rich and PBS-rich phases). …”
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Predicting academic success in health professions training and education: Insights from a data mining analysis by Bragazzi, Nicola Luigi

“…However taking into account also the results of the questionnaire the goodness-offit of our model slightly decreases (AUC 0.91890 for 2008, AUC 0.99641 for 2009). …”
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