Basketball is a high-intensity competitive game that requires the athletes to have anaerobic as well as aerobic fitness, which means that basketball players need to sustain high rates of movement, repeated sprinting efforts, and high-intensity activity over prolonged periods of time. In comparison, the use of endurance and recovery regimes assist in maximizing players’ performance and minimizing fatigue. The purpose of this study was to examine the effects of structured endurance training on lactic acid metabolism, fatigue tolerance, and speed endurance in professional basketball players. Although previous publications primarily focus on broad-based conditioning and recovery methods there is an absence of data specific to the effect of specific basketball-oriented movement exercises, administered purely in training environments on physiological markers, as measured by lactic acidosis and fatigue indexes. To address this issue, a focused six-week endurance training program was developed and applied on professional players, including pre- and post-training assessment using biochemical and performance measures. Methods: The study utilized a quantitative experimental method. The tools used in this study included portable lactate analyzer, RAST (Repeated Anaerobic Sprint Tests) and Sprint endurance tests to observe physiological adaptations. The study found that well-designed endurance training is correlated with considerably lower levels of lactic acid, as well as better fatigue resistance and speed endurance, demonstrating tangible performance gain from sport induction anaerobic conditioning. These results indicate the importance of scientifically validated endurance-periodized workout programs using HIIT, short-burst sprint drills, and corrective/rehabilitative recovery work for basketball performance outputs optimization. What’s more, it provides coaching and testing insight that coaches, trainers and sport scientists will find useful and which reveal conditioning methods designed to maximize the use of energy and duration of peak performance. By filling in the gaps within current literature, the findings of this study add to the domains of sports physiology and training methodologies, providing a structured methodology for maximizing endurance training in the context of competition basketball. Moreover, future works need to investigate individualized training adaptations, innovative sports technologies, or real-time fatigue and load monitoring systems to further improve elite sports endurance conditioning models.
This study was aimed to investigate the response surface methodology (RSM) to evaluate the effects of various experimental conditions on the removal of levofloxacin (LVX) from the aqueous solution by means of electrocoagulation (EC) technique with stainless steel electrodes. The EC process was achieved successfully with the efficiency of LVX removal of 90%. The results obtained from the regression analysis, showed that the data of experiential are better fitted to the polynomial model of second-order with the predicted correlation coefficient (pred. R2) of 0.723, adjusted correlation coefficient (Adj. R2) of 0.907 and correlation coefficient values (R2) of 0.952. This shows that the predicted models and experimental values are in go
... Show MoreCopper oxide (CuO) nanoparticles were synthesized through the thermal decomposition of a copper(II) Schiff-base complex. The complex was formed by reacting cupric acetate with a Schiff base in a 2:1 metal-to-ligand ratio. The Schiff base itself was synthesized via the condensation of benzidine and 2-hydroxybenzaldehyde in the presence of glacial acetic acid. This newly synthesized symmetric Schiff base served as the ligand for the Cu(II) metal ion complex. The ligand and its complex were characterized using several spectroscopic methods, including FTIR, UV-vis, 1H-NMR, 13C-NMR, CHNS, and AAS, along with TGA, molar conductivity and magnetic susceptibility measurements. The CuO nanoparticles were produced by thermally decomposing the
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This paper describes DC motor speed control based on optimal Linear Quadratic Regulator (LQR) technique. Controller's objective is to maintain the speed of rotation of the motor shaft with a particular step response.The controller is modeled in MATLAB environment, the simulation results show that the proposed controller gives better performance and less settling time when compared with the traditional PID controller.
Buckling analysis of a laminated composite thin plate with different boundary conditions subjected to in-plane uniform load are studied depending on classical laminated plate theory; analytically using (Rayleigh-Ritz method). Equation of motion of the plates was derived using the principle of virtual work and solved using modified Fourier displacement function that satisfies general edge conditions. The eigenvalue problem generated by using Ritz method, the set of linear algebraic equations can be solved using MATLAB for symmetric and anti-symmetric, cross and angle-ply laminated plate considering some design parameters such as aspect ratios, number of layers, lamination type and orthotropic ratio. The results obtained g
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