Smart Health Internet of Thing for Continuous Glucose Monitoring: a Survey

Health monitoring system allows patients to monitor the health-related problem to avoid further complications which could result in loss of life. Smart health is one of the categories of a health monitoring system that uses Smartphone’s and sensors to effectively monitor patient health status. However, the smart health internet of thing methods for glucose monitoring still does not provide accurate glucose reading. Hence, diabetes patient can easily loss life. To help understand this challenge, a comprehensive survey focused on smart health internet of thing methods for continuous glucose monitoring was conducted. The paper discusses the benefit and challenge of each method applicable to glucose monitoring. It was observed that several smart health methods required sensor to function. Smart vehicles and remote monitoring have less attention. However, when accommodates can provide future opportunities

ASSESSMENT OF VOCATIONAL AND TECHNICAL EDUCATION STUDENTS’ OPINION ON UNDERGRADUATE RESEARCH PROJECT SUPERVISION

The study assessed by determines the Supervised Undergraduate Students (SUS) opinion on Undergraduate Research Project (URP) supervision and Gender difference on SUS opinion on URP supervision. Content analysis design was used for the study. The study consisted of two (Federal and State) universities, Abubakar Tafawa Balewa University, (ATBU) Bauchi from North East and Benue State University (BSU) Makurdi from North Central geo political zones of Nigeria. The population of the study consisted of 434 final year supervised undergraduate research project students. Proportionate stratify random sampling was used to select 205 (122 male and 84 female) SUS. Supervised Undergraduate Students Opinion (SUSO) questionnaire was developed, validated and used for the data collection. Hypothesis was tested at α=0.05 level of significance. To ensure the quality of the analysis, table was used where the co researchers made transparent process from raw data to results in form of tally and frequency. The data was analyzed using conceptual analysis and Chi Square test. URP supervisors were appointed in respective of their expertise or field of specialization; male and female SUS differs significantly (Ҳ2 = 96.265, df= 10, ρ<0.05) on opinion regarding URP supervision were among the findings from the study. Some of the recommendations from the study include academic staff with administrative responsibility to be exempted from URP supervision; similar study to be carried out with Post Graduate thesis supervision.  Article visualizations

Molecular dynamics and energy distribution of methane gas adsorption in shales

This study uses simulations to explore the energy distributions involved in the adsorption of methane gas in shales. Molecular mechanics calculations were carried out using the Forcite module in BIOVIA material studio software. The critical challenge in molecular-scale simulations remains the need to improve the description of the gas adsorption prior to up-scaling to a realistic scenario. Resolving this challenge requires the implementation of multi-scale techniques that employ atomistic/molecular-level results as input. Thus, it is pertinent that the appropriate molecular data on CH4 gas interaction with shale is obtained. This study provides empirical data on CH4 sorption/adsorption in shale at the molecular level to confirm the CH4 storage potential of shales. The effect of pressure on the CH4 sorption/adsorption was also investigated. A vital aspect of this study is elucidating the energy distribution and dominant energy that controls CH4 sorption/adsorption to serve as a basis for the exploitation of CH4 in productive shales. Following the intensive simulation exercise, the average total energy of CH4 sorption varied from approximately −30 to −120 kcal/mol with increase in pressure from 500 to 2500 psi, suggesting increasing thermodynamic stability. The results indicated that van der Waals energy is the major sorption energy with values ranging from 60 to −250 kcal/mol as the sorption pressure increased, while electrostatic energy recorded the least contribution. The total adsorption energy increased from −5 to −16 kcal/mol for reservoir pressure range of 1–15 MPa. This energy distribution data confirmed the possibility of CH4 adsorption on shale under reservoir pressure conditions