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The paper considers an underlay cognitive radio model, which includes multiple primary and secondary users. Under the interference limitations imposed for the conservation of a high quality of service (QOS) for the primary users, this work aims to enhance the throughput of the secondary users. A joint optimization of secondary to primary user assignment and the power allocation at the secondary user's transmitters is adopted under the interference as well as individual power constraints. To solve the formulated integer programming problem, dual decomposition strategy is adopted. KarushKuhnTucker (KKT) optimality conditions are exploited to obtain the optimal power allocation while user pairing is obtained from the assignment problem. Moreover, sub-optimal schemes are proposed to reduce the complexity and finally simulations are conducted to validate the proposed schemes.

Quadrotors are highly agile vehicles that can be used to perform aggressive maneuvers.Commanding a quadrotor to perform a maneuver that is beyond the physical capabilities of its actuators leads to actuator saturation. A prolonged state of saturated actuators can cause the vehicle to behave unpredictably. This work investigates the use of constrained control allocation methods in a cascaded control structure to mitigate the adverse effects of actuator saturation. More specifically, a constrained weighted least squares approach is used in the position controller and mixer to prioritize certain control efforts while considering constraints on the actuators and, optionally, vehicle attitude. Additionally, a yawdecoupled attitude controller is adopted to complement the control allocation method employed in the mixer. The proposed strategy offers a more comprehensive approach to addressing actuator saturation and was found to enhance the stability and tracking performance of the vehicle when compared to conventional approaches in simulation. Furthermore, waypoints-based motion planning is also investigated for generating trajectories that avoid actuator saturation, as opposed to 'handling' saturation as is done by the controllers and mixer. The trajectories are designed for a 'lawnmower maneuver' and are initially generated using a minimum snap optimization algorithm. However, this method does not consider actuator or state constraints, and thus avoiding constraint violations is not guaranteed. To address this, differential flatness properties are used to evaluate these trajectories to determine whether actuator and state constraints are violated.Time scaling is then used to adjust the trajectory to meet the constraints. The appropriate scale needed for time scaling can be obtained analytically or iteratively. Analytical i

Background: The effects of cholesterol and statin therapy on serum uric acid (SUA) concentration are poorly known, and the latter's effects are even less clear. A mean atorvastatin dosage of 24 mg/dl satisfies the American Cardiovascular Assessment Campaign management objectives and dramatically lowers prevalence of chronic in individuals with cardiovascular events, according to the Greek Drug and Cardiovascular Evaluation research. We compare the temporal evolution of SUA levels in patients receiving standard treatment who received insufficient statin therapy (12 percent received statins) to patients receiving formalised care who received atorvastatin therapy almost exclusively (98 percent). Methods: In this study 160 individuals with abnormal lipid profiles in their blood were enrolled to investigate the connection between lipid profile and uric acid in dyslipidemic patients (dyslipidemia). It was a 5-month cross-sectional study conducted at Dr Abdul Sattar Lab Sialkot using a convenient sampling method. The uric acid, total cholesterol, triglycerides, LDL, and HDL cholesterol levels of enrolled participants were measured. In short, we performed uric acid and lipid profile tests on under-observation samples to investigate the association between uric acid and lipid profile parameters in the enrolled (dyslipidemic) individuals. Result: This research looks at people between the ages of 20 and 60. The Graph shows that (15) patients are between the ages of 20 and 30, (46) patients are between the ages of 31 and 40, (74) patients are between the ages of 41 and 50, and (25) patients are between the ages of 51 and 60.Patients of both sexes are covered. It was found that there exist significant positive relationship between uric acid and lipid profile in dyslipidemic patients. This study shows a positive correlation between LDL, triglycerides, total cholesterol and uric acid whereas a negative correlation was observed between HDL and uric acid. According to the current results, when uric acid rises, Total Cholesterol, Triglycerides, and Low Density Lipoproteins (LDL) rise as well. But High Density Lipoproteins (HDL) falls with the increase in uric acid levels. As a result, this study may be useful in reducing the incidence of related cardiovascular morbidities, and we will be able to predict dyslipidemia more accurately, which may further leads to CVDs. As the rate of CVDs rises in Pakistan, it is becoming increasingly necessary to investigate the factors that are directly linked to the disease. Conclusion: This article's objective was to investigate any connections between Uric Acid and Lipid Profile. Because dyslipidemia predicts the risk of coronary artery disease, so uric acid levels should be considered in these individuals for more complete risk factor prediction and treatment. Increased levels of lipid profile parameters can lead to serious heart diseases, and the only way to avoid this is to get a quick diagnosis of the disease.

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