The present paper defines the equations that govern the optimization model of an electric water heater in order to manage automatically its available flexibility for the user's own benefit. A case study that focuses on the electric water heater flexibility potential is carried out: it is aimed to minimize the total expected electricity cost of a single household that only has an electric water heater as a flexibility source. The temperature inside the hot water tank is an unknown value since the temperature sensor is not sending any information outside. Moreover, real hot water consumption is uncertain and the model takes decisions based on forecasting models. Given the limited information available, the model is developed in a conservative way with the objective of maintaining both, the hot water temperature and the user's comfort. The results show that it is possible to reduce the electricity bill by managing optimally the available flexibility from the electric water heater.

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Gamified online quizzes have gained popularity for their potential in enhancing student learning motivations, creating engaging lessons, and improving learning outcomes. Yet, its application and effectiveness in support of student vocabulary learning have only been explored in synchronous learning setting. This study, hence, extended the exploration by examining the implementation of gamified vocabulary learning in an asynchronous mode and analyzing the impacts on students’ learning outcomes in class. The study was carried out for 10 weeks, involving 300 2nd year students at a Thai university. The instrument and measure comprised 500 English academic words made into 10 vocabulary sets on Quizizz.com, and 10 in-class vocabulary tests. The findings of the study revealed that students’ vocabulary learning practice in asynchronous mode had positive correlations with and could significantly predict their in-class vocabulary results. Female students outperformed male students; nonetheless, there was no significant difference across academic majors.

Rice-husk ash (RHA) is prepared from a by-product of rice production. Its main component is silic dioxide. Thanks a zeolite-like structure, it could be used as an adsorbent. In this study, RHA was used to remove some antibiotic and anti-inflammatory drugs in aqueous medium such as Cefuroxim, Dexamethasone, Methylprednisolone, Prednisolon. These drugs are recommended to use at home for Covid-19 patients. The RHA has a specific surface area of 179.797 m2/g), the pore size of 63.547 m2/g, the average particle size of 3.8 mm. The zeta potential of RHA in distilled water of -42.5 V, the point of zero charge of 6.7. The main composition of elements in RHA is Si, O, C. Among investigated samples, the Cefuroxim adsorption efficiency of RHA is the best, with a adsorption capacity reached 1.43 mg.g-1 and adsorption efficiency reached 86.00 % at the optimum adsorption condition of pH solution of 7, adsorption time of 150 min, RHA weight of 0.3 g and the initial drug concentration of 5.0 mg.L-1.