A deterministic mathematical model of the Middle East respiratory syndrome (MERS) disease is introduced. Medical masks, supportive care treatment and a government campaign about the importance of medical masks will be involved in the model as time dependent variables. The problem is formulated as an optimal control one to minimize the number of infected people and keep the intervention costs as low as possible. Assuming that all control variables are constant, we find a disease free equilibrium point and an endemic equilibrium point explicitly. The existence and local stability criteria of these equilibria depend on the basic reproduction number. A sensitivity analysis of the basic reproduction number with respect to control parameters tells us that the intervention on medical mask use and the campaign about the importance of medical masks are much more effective for reducing the basic reproduction number than supportive care intervention. Numerical experiments for optimal control problems are presented for three different scenarios, i.e., a scenario of different initial conditions for the human population, a scenario of different initial basic reproduction numbers and a scenario of different budget limitations. Under budget limitations, it is much better to implement the medical mask intervention in the field, rather than give supportive care to control the spread of the MERS disease in the endemic prevention scenario. On the other hand, the medical mask intervention should be implemented partially together with supportive care to obtain the lowest number of infected people, with the lowest cost in the endemic reduction scenario.
The development on biotechnology research is on the rapid growth. Biotechnology is assumed to be able to solve the needs problem in the community. University of Jember has developed a biotechnology research which focused on the fields of agricultural and health biotechnology. However, the result of biotechnology research has not been entirely integrated yet into the learning at schools, college, and community education. This research was intended to associate the products of biotechnology research with the innovative life-based local wisdom learning and developed local wisdom. Later on, the integration of life-based learning and local wisdom in regards to the development of biotechnology was able to be implemented at school, university and the community. Junior and senior high school, university and local community in East Java were selected as the subjects of this research. Ten-step model of developmental research was applied on this research (Borg and Gall, 1989) covering collecting research and information, planning, developing preliminary forms of product, testing the preliminary field, the revision on main product, testing the main field, the revision on operational product, testing the operational field, the revision of final product, and dissemination and implementation. The results of this research revealed that life-based learning model with local wisdom in the development of innovative biotechnology learning were valid, effective and efficient.
The internet of things (IoT) has allowed for ubiquitous measurement. Infant incubator temperature is one of crucial parts that need to be measured, especially for the stability and uniformity temperature. Based on the interpretation of IEC 60601-2-19, we proposed measurement method using IoT with the message queue telemetry transport (MQTT). In the 10,000 packet, the result shows the quality of service (QoS) level 2 of the system has the highest delay, however it has the lowest packet loss data than the other QoS. For 1 hour, the uniformity result and stability can fulfill the standards. Uniformity of 32°C, the lowest difference is point C with 0.32 °C, and the highest difference is point B with 0.75 °C. Uniformity of 36 °C, the lowest difference is point B with 0.27 °C, and the highest difference is point C with 0.79 °C. The stability of 32 °C and 36 °C is 0.32 °C and 0.44 °C, respectively. Moreover, the Kruskal Wallis test shows the highest difference average from point M is point A and B. It occurred because of the point A and B located far from the heater part, so the point A and B colder than point C.
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