In recent years, the accelerated development of information and communication technologies has marked a new era in access to information. Where the evolution of hardware and software has made it possible to access large volumes of data through the use of different devices, be they computers, electronic tablets or Smartphone’s. The latter have become the devices most used by society since they allow connectivity, processing and information management operations to be carried out with efficiency, speed and quality, but technological literacy is still necessary in the students and teachers of the University Center Municipal Majibacoa since they present shortcomings in the rational and efficient use of this technology. That is why this research proposes a methodology to take into account for the use of mobile devices to enhance the quality of the teaching-learning process in conditions of universalization. For which it starts from a diagnosis that allows identifying the potentialities of the hardware, software, knowledge and skills of the users. Analyzing, in addition, the advantages and challenges of these technologies in the teaching and learning process until the identification and development of the logical steps necessary for the use of mobile devices in the teaching and learning process of the course by meeting.
Aero-engine performance seeking control (PSC)can fully tap the potential of the\nengine and greatly improve the performance of the engine.Thrust is an important technical index of\nengine. The economic significance and operational effectiveness of thrust optimization are very\nobvious.The maximum thrust mode can maximize the thrust of the engine on the premise of ensuring the\nsafe operation of the engine (such as ensuring that the engine does not over-temperature, over-rotate, do\nnot surge, etc.), so as to improve the maneuverability or flight speed of the aircraft. To give it a combat\nadvantage.In this paper, a hybrid optimization algorithm based on genetic algorithm-sequential quadratic\nprogramming (GA-SQP) is proposed based on the nonlinear mathematical model of a twin-rotor hybrid\nexhaust turbofan engine. The optimization algorithm gives full play to the advantages of genetic\nalgorithm and sequential quadratic programming algorithm, and overcomes the shortcomings of both to\na certain extent. After studying the performance optimization control of aero-engine maximum thrust\nmode at 10 randomly selected flight state points, it is found that under the maximum thrust mode, The\noptimal control based on GA-SQP hybrid algorithm can increase the thrust by 6.01% on average (6.00%\nwhen using the optimal control method based on genetic algorithm). The average time consuming of the\noptimal control method based on GA-SQP hybrid algorithm is 21.2% of that of the optimal control\nmethod based on genetic algorithm.The simulation results show that the optimal control based on\nGA-SQP hybrid algorithm does not need to set the initial solution, and can not only achieve the same\noptimal control effect as the optimal control based on genetic algorithm, but also greatly reduce the\namount of computation. The calculation efficiency is improved.
Over the last few years, there has been a great interest in the Internet of Things (IoT). This is mainly because the IoT interacts directly with people’s everyday lives in critical applications, such as in smart homes and healthcare applications. IoT devices typically have a resource-constrained architecture, rendering them vulnerable to cyberattacks. Accordingly, smart devices and stored data need to be secured through lightweight and energy efficient security solutions, which have been identified as the main challenge facing adoption of IoT systems. To address this problem, a disruptive technology (blockchain) has been foreseen by the industry and research community as being able to deliver secure, fast, reliable, and transparent solutions for IoT systems. Hence, this work investigates the adoption of lightweight blockchain technology, mainly as a method of securing IoT systems. Because hashing plays a major role in creating a robust blockchain structure, we select a number of different hash techniques to be executed on a Raspberry Pi device. In summation, this work provides a numerical study to evaluate the performance of well-known hash functions that can be used for lightweight blockchain-based IoT.
Cholestasis is a liver disease occurs when the flow of bile is reduced or blocked. Estrogen-induced cholestasis is characterized by impairment of bile flow and accumulated bile acids in the liver, always along with the liver damage. We aimed to assess the hepatoprotective effects of cranberry extract against EE-induced cholestasis in rats. Oral administration of cranberry extract (150 mg/kg b.w) for 15 days to rats treated with EE (100 µg/kg body weight for 5 days) ameliorated the levels serum cholesterol, bile acid and TBIL in EE-treated rats. The treatment also resulted in a significant increase in hepatic SOD and GPx. Cranberry extract inhibited serum ALP, ALT and GGT activities, as well as reduced serum TNFα-, NO, MMP-2 and MMP-9 and hepatic MDA as compared to EE-treated rats. On the other hand, oral administration of cranberry extract downregulated the liver TLR4, NF-Κb and p38MAPK gene expression in lung rats treated with EE. The prophylactic action II of cranberry extract more pronounced than prophylactic I. Histopathological examination of liver tissues also showed hepatoprotective effects of cranberry in restoring normal functional ability of the liver. Conclusion: The results clearly suggest that cranberry extract has a powerful prophylactic action in cholestasis induced by EE.
In this paper, the effect of wollastonite, iron filings, and accelerated steam curing on the corrosion of reinforced concrete in freshwater, 7.5%, and 15% NaCl solution have been investigated. Wollastonite and iron filings with different percentages replaced cement and sand, respectively. Also, the rebar diameter is 18 mm was used. The cubical specimens were constructed with dimensions of 100 mm. To investigate the effect of wollastonite, iron filings, and accelerated steam curing in corrosion, some mechanical parameters (compressive strength and ultrasonic pulse velocity) and durability parameters (water absorption and half-cell potential) were tested. The present results show that with the addition of wollastonite, corrosion has reduced. With the use of wollastonite up to 10% and iron filing up to 20%, the chance of corrosion has decreased by up to 40%. Furthermore, the use of accelerated steam curing in 7.5% and 15% NaCl solution has been caused by reducing corrosion and permeability in concrete. Finally the use of wollastonite up to 10% and its combination with iron filings increases the compressive strength up to 10%.
Utilizing misinformation that circulated during the Ebola outbreak in 2015 in the United States, we examined the predictors of vulnerability to misinformation, including Internet use for information purposes, need for cognition (NFC), anxiety management, and social interaction motivation for sharing Ebola information. Employing an online survey, in this study, we found that people who use the Internet to receive information are likely to have higher levels of NFC, and such high-NFC individuals are more likely to be susceptible to misinformation than low-NFC individuals. Furthermore, both types of motivation for information sharing moderated the indirect relationship between Internet use for information purposes and the vulnerability to Ebola-related misinformation through NFC. The theoretical and practical implications are also discussed.
The sugarcane factory business in India impacts the livelihood of almost each and every sugarcane farmers and workers employed in these factories. Thus, in this paper a multi-objective transportation model for the supply chain of sugarcane industry is presented. To make the model realistic, uncertainty in costs, time, supply and demand are considered. Uncertainty among the parameters of the model is expressed by means of triangular fuzzy number due to its simplicity. Various modes of transportation with their restricted capacities like bullock carts, trucks, tractors, tractor trolleys etc. are considered in the developed model. The model will be applicable to the sugarcane factories across the world to optimize their supply chain. For solving the model, a new optimization algorithm using fuzzy set theory and evolutionary algorithm is proposed. A case study of supply chain of the co-operative sugarcane factory located in Maharashtra (India) state for year 2018-19 is considered for the demonstration of the model. Also, a set of non-dominated solutions is obtained with this approach. The Pareto decision space of the model is discussed at different uncertainty levels alpha belongs to [0,1].