Cadmium telluride nanofilms application in carbon monoxide detection
The research is centered on CdTe nanofilms. The article is aimed at developing innovative primary transducer nanoscale material for semi-conductor sensors, investigating their surface physicochemical properties and evaluation their applicability in carbon monoxide diagnostics. Cadmium telluride nanofilms were obtained by discrete thermal evaporation in vacuum. CdTe nanofilms applicability in gas analysis was investigated. Adsorption properties of the given material for carbon oxide (II) and oxygen were studied by the piezoquartz microweighing. The principles of adsorption, depending on the process conditions and the test sample habitus, were established. Based on the obtained experimental data, CO micro-impurities sensors were developed, the laboratory tests passed successfully.
Monitoreo de concentración de monóxido de carbono usando tecnología Long-Range
A remote monitoring system for carbon monoxide (CO) sensors is presented in a hospital using Long-Range transceivers. A highly toxic gas that can´t be detected by humans and damages health is CO. There are hospital areas where air purity is greater than 90% and monitored continuously. The objective of this work was to design a wireless system that reports to a server ,located on the Internet, the concentration levels of CO around ten sensors distributed around the areas of a hospital. A low-power wide area network (LPWAN) was deployed using ten Long-Range technology transceivers and a gateway. Each node of the LPWAN consists of a CO sensor, a global positioning system module, a quartz liquid crystal display, an alert generator, a microcontroller and a Long-Range transceiver. The nodes transmit the CO levels to the gateway and the gateway sends them to the server. When a CO level higher than a threshold value is detected, an alert is triggered. The system detects CO concentrations of 10 to 1,000 ppm. The farthest network node is located 1,200 meters from the gateway and the range achieved was 11.8 Kilometers.
Measuring Functional Service Quality Using SERVQUAL in a High-Dependence Health Service Relationship
Although there is a growing concern about health care quality, little research has focused on how to measure quality in long-term care settings. In this article, we make the following observations: (1) most users of the SERVQUAL instrument reassess customers' expectations each time they measure quality perceptions; (2) long-term care relationships are likely to be ongoing, dependent relationships; (3) because of this dependence, customers in the long-term care setting are likely to reduce their expectations when faced with poor service quality; (4) by using this "settled" expectations level, service providers may make biased conclusions of quality improvements. We recommend various methods for overcoming or minimizing this "settling" effect and propose modifications to the SERVQUAL gap 5 measure to assess quality in a long-term care setting.