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This research presents a comprehensive exploration of adaptive control strategies and data-driven anomaly detection within power systems. At the core of the study lies the investigation of adaptive finite-time tracking control for strict-feedback nonlinear continuous-time systems. These systems, when influenced by full-state constraints and dead zones, present significant challenges. By harnessing the principles of finite-time stability theory combined with barrier Lyapunov functions, the study introduces a groundbreaking adaptive tracking control strategy. Coupled with the adaptive backstepping method, this approach guarantees that the closed-loop system’s signals remain bounded. Furthermore, it ensures that outputs adeptly track reference signals, while all system states are confined within predefined compact sets, enhancing system reliability and performance. In parallel, the research unveils an innovative approach to tackle the intricate challenge of anomaly detection in Phasor Measurement Unit (PMU) data. Recognizing the high-dimensional nature of PMU data, an ensemble model, synthesizing the strengths of Gaussian Process Regression (GPR) and Autoencoders, is proposed. This ensemble not only boasts superior data reconstruction fidelity but also features a Bayesian optimization-driven threshold determination. Such a methodology fosters an adaptive, data-driven anomaly detection process, resulting in heightened specificity and sensitivity. Validation tests conducted on a synthetic dataset, infused with 84 frequency events, attest to the ensemble model’s superior capability in discerning nuanced anomalies. This superiority is evident both visually and through rigorous quantitative metrics, underscoring the ensemble’s edge over traditional models.

This study introduces an innovative Gaussian Process (GP) model utilizing an ensemble kernel that integrates Radial Basis Function (RBF), Rational Quadratic, and Mat\'ern kernels for product sales forecasting. By applying Bayesian optimization, we efficiently find the optimal weights for each kernel, enhancing the model's ability to handle complex sales data patterns. Our approach significantly outperforms traditional GP models, achieving a notable 98\% accuracy and superior performance across key metrics including Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Coefficient of Determination ($R^2$). This advancement underscores the effectiveness of ensemble kernels and Bayesian optimization in improving predictive accuracy, offering profound implications for machine learning applications in sales forecasting., Comment: 11 pages, 3 figures

This research employs Gaussian Process Regression (GPR) with an ensemble kernel, integrating Exponential Squared, Revised Mat\'ern, and Rational Quadratic kernels to analyze pharmaceutical sales data. Bayesian optimization was used to identify optimal kernel weights: 0.76 for Exponential Squared, 0.21 for Revised Mat\'ern, and 0.13 for Rational Quadratic. The ensemble kernel demonstrated superior performance in predictive accuracy, achieving an \( R^2 \) score near 1.0, and significantly lower values in Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). These findings highlight the efficacy of ensemble kernels in GPR for predictive analytics in complex pharmaceutical sales datasets., Comment: 6 pages, 5 figures

The paper presents a Gaussian/kernel process regression method for real-time state estimation and forecasting of phase angle and angular speed in systems with a high penetration of solar generation units, operating under a sparse measurements regime on both sunny and cloudy days. The method treats unknown terms in the swing equations, such as solar power, as random processes, thereby transforming these equations into stochastic differential equations. The proposed method accurately forecasts and estimates both observed and unobserved operating states, delivering forecasts comparable to those of the standard data-driven Gaussian/kernel process for observed system states. Additionally, the method demonstrates improved accuracy with increased observation frequency and reduced measurement errors in the IEEE 14-bus test system.

Dans un contexte d’échanges et de déplacements accrus entre les pays et les continents, une bonne connaissance des insectes porteurs des pathologies pour l’homme est essentielle dans les milieux scientifiques et médicaux.Cet ouvrage se compose de deux parties :La biologie des insectes d’intérêt médical ;Les symptômes, moyens diagnostiques et traitements des maladies transmises par les insectes.

Dans un contexte d’échanges et de déplacements accrus entre les pays et les continents, une bonne connaissance des insectes porteurs des pathologies pour l’homme est essentielle dans les milieux scientifiques et médicaux.Cet ouvrage se compose de deux parties :La biologie des insectes d’intérêt médical ;Les symptômes, moyens diagnostiques et traitements des maladies transmises par les insectes.

Dans un contexte d’échanges et de déplacements accrus entre les pays et les continents, une bonne connaissance des insectes porteurs des pathologies pour l’homme est essentielle dans les milieux scientifiques et médicaux.Cet ouvrage se compose de deux parties :La biologie des insectes d’intérêt médical ;Les symptômes, moyens diagnostiques et traitements des maladies transmises par les insectes.

Dans un contexte d’échanges et de déplacements accrus entre les pays et les continents, une bonne connaissance des insectes porteurs des pathologies pour l’homme est essentielle dans les milieux scientifiques et médicaux.Cet ouvrage se compose de deux parties:La biologie des insectes d’intérêt médical;Les symptômes, moyens diagnostiques et traitements des maladies transmises par les insectes.

Background: The recurring nature of kidney stones (KS) makes it difficult to control and treat. Patients’ education plays a part in reducing disease recurrence. Pharmacists participate in the healthcare services through educating patients with kidney stones about KS preventive measures and medications that greatly reduce the disease frequency and the treatment cost. Insufficient pharmacists’ knowledge may affect the services’ quality and result in misuse of KS medications. Objectives: To evaluate the pharmacists’ level of knowledge to provide adequate information about KS preventive measures, medications, and treatments for patients with kidney stones in Jordan. Methods: An online descriptive survey was distributed to pharmacists to assess their knowledge about KS causes, prevention, and treatment. The results were analyzed using the SPSS software. Results: There were 393 pharmacists participated in this study. Pharmacists demonstrated an overall intermediate level of knowledge about KS. They showed an excellent level of knowledge regarding KS types and etiology, an intermediate level of knowledge about KS preventive measures and treatment, and poor knowledge about home remedies and drugs that promote KS formation. Conclusion: Pharmacists knowledge about KS management through diet and medications need to be improved. This could be through focusing on pharmacists’ training for the effective implementation of knowledge in the clinical practice. Adopting guidelines by pharmacists may reduce the risk of KS recurrence and provide pharmacist-led patient education about KS management in hospitals and community pharmacies.

A homogeneous CuO-ZnO nanostructure with tunable morphology and optical band structure is successfully synthesized via a hydrothermal method under the different dopant mole ratios of Cu. The robust correlation between the crystallite size, surface morphology, optical band gap alteration of the synthesized CuO-ZnO and its performance in photoelectrochemical (PEC) activity are investigated and compared to the reference ZnO based photocathode. In this report, it is found that the morphology of hexagonal ZnO nanorod is changed to nanosheet and vertically align CuO-ZnO based nanograss after the Cu incorporation. This result is mainly due to the composition phase change after the excessive incorporation of Cu metal into ZnO lattice. Furthermore, the optical band gap of the sample also presented a bathochromic shifted after the Cu insertion. The measurements on PEC activity of CuO-ZnO nanostructure was performed under the irradiation of a 100 mWcm−2 Xenon light in 0.5M Na2SO4 electrolyte. Among the sample, 0 Zn:1 Cu exhibited a highest photocurrent density which is 5 fold as compared to its reference ZnO samples. This finding could be due to the highest surface active area and lowest optical energy band gap in the 0 Zn:1 Cu nanograss that eventually contributes to a high free electron density that facilitates the charge transport in the photoelectrochemical cells. This novel approach could provide an alternative to the future solar hydrogenation application.

A homogeneous CuO-ZnO nanostructure with tunable morphology and optical band structure is successfully synthesized via a hydrothermal method under the different dopant mole ratios of Cu. The robust correlation between the crystallite size, surface morphology, optical band gap alteration of the synthesized CuO-ZnO and its performance in photoelectrochemical (PEC) activity are investigated and compared to the reference ZnO based photocathode. In this report, it is found that the morphology of hexagonal ZnO nanorod is changed to nanosheet and vertically align CuO-ZnO based nanograss after the Cu incorporation. This result is mainly due to the composition phase change after the excessive incorporation of Cu metal into ZnO lattice. Furthermore, the optical band gap of the sample also presented a bathochromic shifted after the Cu insertion. The measurements on PEC activity of CuO-ZnO nanostructure was performed under the irradiation of a 100 mWcm−2 Xenon light in 0.5M Na2SO4 electrolyte. Among the sample, 0 Zn:1 Cu exhibited a highest photocurrent density which is 5 fold as compared to its reference ZnO samples. This finding could be due to the highest surface active area and lowest optical energy band gap in the 0 Zn:1 Cu nanograss that eventually contributes to a high free electron density that facilitates the charge transport in the photoelectrochemical cells. This novel approach could provide an alternative to the future solar hydrogenation application.

This study investigates the effect of laboratory experiments on grade ten students’ achievement in physics. It answers the question: Is there any effect on the tenth grade students( male and females discretely ) achievement that can be attributed to laboratory experiment? The sample of the study consisted of 130 Jordanian students. The experimental group students were taught physics in conjunction with laboratory experiments for forty five days. A thirty multiple choice item achievement test was designed to measure the students achievement .The study showed that the experimental group students achievement was higher than that of the control group students. The researcher recommends that(1) it is necessary to use the laboratory experiments in teaching science ,in general, and physics in particular, (2) the teaching schedule should include weekly classes for laboratory experiments in science, because this greatly enhances the student achievement in such topics .(3) Further similar studies involving different school stages and science branches like biology, chemistry and geology should be carried out. Key words: lab experiments , students achievement . science , physics , science teaching

This study investigates the effect of laboratory experiments on grade ten students’ achievement in physics. It answers the question: Is there any effect on the tenth grade students( male and females discretely ) achievement that can be attributed to laboratory experiment? The sample of the study consisted of 130 Jordanian students. The experimental group students were taught physics in conjunction with laboratory experiments for forty five days. A thirty multiple choice item achievement test was designed to measure the students achievement .The study showed that the experimental group students achievement was higher than that of the control group students. The researcher recommends that(1) it is necessary to use the laboratory experiments in teaching science ,in general, and physics in particular, (2) the teaching schedule should include weekly classes for laboratory experiments in science, because this greatly enhances the student achievement in such topics .(3) Further similar studies involving different school stages and science branches like biology, chemistry and geology should be carried out. Key words: lab experiments , students achievement . science , physics , science teaching