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Conversion of Organic Municipal Wastes into Biochars and their Effect on Fertility Parameters of Normal and Sabkha Soils of Qatar
Published 2016“…This implies that biochars with greater liming capacity can provide greater benefit to arable soils that require liming. …”
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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM)
Published 2023“…All the scenarios present increasing minimum and maximum temperatures and decreasing precipitation, except for RCP8.5, which predicted a more adverse trend. …”
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Unraveling the future productivity burden of cardiovascular disease in Qatar: Investigating the modifiable risk factors control in type 2 diabetes
Published 2025“…AimsInsufficient risk factor control can lead to a loss of millions of productivity-adjusted life years (PALYs). …”
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The Effects of Class IV Hemorrhagic Hypotensive Shock and Its Resuscitation with Fluids and Adjuvant Vasopressors or Cellular Energy Replenishment on the Splanchnic Microcirculatio...
Published 2016“…The transected organ was returned to the abdominal cavity for free arterial and venous bleeding until class IV hemorrhage is achieved [defined by persistent mean arterial pressure, MAP < 40 mmHg, and a shock index (ratio of heart rate and systolic arterial pressure), SI ≥ 5 for successive 10 minutes during the period of active uncontrolled bleeding]. …”
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Dietary patterns associated with the risk of pancreatic cancer: Case-control study findings
Published 2022“…The "Traditional"dietary pattern, which presented a diet rich in fresh fruits, vegetables, milk, yogurt, and lentils, was associated with a significant decrease in the odds of PC (OR = 0.42, 95% CI = 0.21-0.84) for the third quartile compared to first one. …”
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Age-Related Differences of the Athlete`s Heart
Published 2013“…No difference was seen between athletic and non-athletic children comparing their diastolic function (E/A). In the competitive age (19-35 years) athletes have a higher E/A than non-athletes (1.98 ± 0.37, vs. 1.73 ± 0.31, p = 0.013). …”
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