American Journal of Scientific Research and Essays


Ca-Markov Model for Simulating Land Use Land Cover Dynamics in Rufiji Delta of Tanzania

Research article of American Journal of Scientific Research and Essays Ca-Markov Model for Simulating Land Use Land Cover Dynamics in Rufiji Delta of Tanzania Job Asheri Chaula School of Earth Science, Real Estate, Business and Informatics, Department of Computer Systems and Mathematics, Ardhi University-Tanzania Sustainable management and resilience of ecosystems and their different services from land, water, biodiversity and forests has been highlighted as a means to address environmental degradation in Tanzania. On contrary, there is in adequate information to aid sustainable management of fragile natural resources such as Rufiji Delta. To address the limitation this research was carried out using Landsat data for appraising and simulating the future situation of Rufiji Delta using CA-Markov model. Maximum Likelihood Classification algorithm in ERDAS Imagine software was used for Landsat image classification and accuracy assessment for year 1998, 2008 and 2018 while Ca-Markov model of IDRIS Selva software was used for quantification of LULC change and simulation, correspondingly. The classification results of four different study periods have depicted the quantity land use land cover status in year 1998, 2008 and 2018. In year 1998 the impervious land cover was the largest class with 53413.40 ha (35.74% composition), followed by water bodies with 42506.10 ha (28.44% composition) while mangrove forest and non-mangrove vegetation consisted of 38060.40 ha (25.47 % composition) and 15468.50 ha (10.35% composition), correspondingly. In year 2018 the impervious land cover increased to 60759.70 ha (40.66% composition) while mangrove forest and non-mangrove vegetation consisted of 35062.2 ha (23.46% composition) and 23019.2 ha (15.40% composition), correspondingly. Water bodies declined to 30607.10 ha (20.48% composition) following the consumption of water in hydro-electrical and agricultural expansion proximal to the Rufiji Delta. In year 2048 a notable decline to about 29757.07 ha, (18.91%), 34891.44 ha (21.35were recorded for mangrove forest and water bodies, correspondingly. The ...

Modeling Cure Rate of Infectious Disease with or Without Co-Infection: An Application to Tuberculosis / Human Immuno Virus

Research article of American Journal of Scientific Research and Essays Modeling Cure Rate of Infectious Disease with or Without Co-Infection: An Application to Tuberculosis / Human Immuno Virus Olaosebikan, A.1; Aderoju, S.A.2* and Balogun, O.S.3 1, 2*Department of Statistics and Mathematical Sciences, Kwara State University, Malete, P.M.B. 1530, Ilorin, Kwara State, Nigeria. 3Department of Statistics and Operations Research, Modibbo Adamawa University of Technology, Yola, Adamawa State, Nigeria. In this study, we examined the challenges of modeling infectious diseases using tuberculosis (TB) as a case study. The tuberculosis and tuberculosis co-infected with Human Immuno Virus (HIV) is one of the common health problems in the world. Time-to-event outcomes are common data type in medical research. The data examined time until a patient is cured of the disease having some patients right censored. With the nature of the data, the appropriate analysis is survival analysis method. The study aims at fitting appropriate models to the TB and TB/HIV co-infection data examining age and gender as factors influencing the cure rate of the disease. Hence, Kaplan-Meier estimation, Cox PH and some parametric models were adopted in the study. The result shows that among the parametric models, generalized gamma fit TB data best and there is no significant difference in the survival rate of male and female while gamma fit TB co-infected with HIV best and there is a significant difference in the male and female patient. However, Cox PH model (having smaller AIC) performs better than all the parametric models considered (for both data) in this study though with the same conclusion. Keywords: Survival analysis, TB, HIV co-infection, parametric, Kaplan_Meier, Cox PH ...

Wind power cabin high temperature hot spot remote intelligent monitoring and early warning system

Review article of American Journal of Scientific Research and Essays Wind power cabin high temperature hot spot remote intelligent monitoring and early warning system Xiaoxiao Chen College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China With the increasing energy crisis, the development and utilization of wind energy, which is a substitute for traditional energy sources and has renewable and cleanliness, has gradually attracted the attention of people all over the world. While the wind power industry is growing rapidly and the unit capacity of the unit is gradually increasing, the operational safety of wind power equipment is receiving more and more attention. If the wind turbine component fails, the small one will result in downtime maintenance, and the other will cause the machine to be destroyed. Because the wind farm is built in remote areas or offshore areas far away from the city, the traffic is inconvenient, and the wind turbines are at high altitude, so it is very difficult to maintain the unit. Once a fault or fire occurs, it is difficult to rescue in time. Let it develop its accident. In view of the high cost of detection, the failure of detecting faults, and the high proportion of missed faults, the on-line monitoring of the operating status of wind power equipment, the real-time diagnosis of early warning faults, and the maintenance of equipment are also important. The online monitoring system is applied to the health monitoring of wind power equipment, which not only can alert the equipment to potential failures, avoid the occurrence of major accidents, but also can determine the fault type and severity of the equipment based on the integration of existing analytical methods. Save on operational maintenance and repair costs. At a deeper level, mining and analyzing the monitoring data can also ...

Translating the Gains of Nursing Education Reforms into Quality Clinical Practice: The Role of Nursing Leaders

Research article of American Journal of Scientific Research and Essays Translating the Gains of Nursing Education Reforms into Quality Clinical Practice: The Role of Nursing Leaders Bridget Omowumi Akin-Otiko1, Margaret Moyosola Oladapo2, Mary Idowu Edward3 1Department of Maternal Neonatal & Child Health Nursing; 2Department of Community Health Nursing; 3Department of Adult Health Nursing, Faculty of Nursing Science,University of Medical Sciences, Ondo-City, Ondo State, Nigeria Nursing reforms in Nigeria took a quantum leap in 2018 with the alignment of nursing education with the mainstream of tertiary education in the country. Year 2023 has been scheduled for full implementation of the reform. The ultimate goal of reforms in nursing education is delivery of quality nursing care. This review was undertaken to highlight the critical roles of nursing leaders in Nigeria towards ensuring that the reforms in nursing education translate to quality nursing practice. The six critical roles discussed in the paper are expected to stimulate necessary activities towards maximizing the gains of nursing education reforms in the interest of the citizens. Keywords: Gains, Reforms, Nursing education, Nursing leaders, Nigeria ...

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American Journal of Scientific Research and Essays1

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