Roughness sub-layer wind speed model for tropical wooded areas

There are few reports in the literature regarding wind speed near the ground. This work presents a model for wind speed from 4 m above the ground, based on year-round measurements in two meteorological towers. Each tower is equipped with anemometers at five heights, as well as thermometers and pressure and relative humidity sensors. The data is processed using Eureqa artificial intelligence software, which determines the functional relationship between variables using an evolutionary search technique called symbolic regression. Using this technique, models are found for each month under study, in which height and temperature are the variables that most affect wind speed. The model that best predicts the measured wind speeds is then selected. A polynomial function directly proportional to height and temperature is identified as the one that provides the best predictions of wind speed on average, within the rough sub-layer. Finally, future work is identified on testing the model at other locations.

A Rapid Review of the Use of Appropriate Technology in Global Health

The need for appropriate technology in global health has expanded dramatically as the gap between industrialized and developing countries continues to expand. However, there is no collective knowledge of appropriate technology in global health. Thus, this study intends to provide light on the latest developments in the field of appropriate technology in global health and to speculate on future directions. A rapid review, or simplified technique, was used to systematically identify and summarize emerging papers. The search technique used the keywords “global health” and “appropriate technology.” The total number of papers collected from PubMed and Scopus was 427, and 19 articles were thoroughly reviewed for the result section following the research. The study's conclusions included the following: 1) an assessment of appropriate technology adopted in developing countries; and 2) strategies for implementing appropriate technologies in global health. Additionally, we drew lessons and identified problems to serve as a useful guide for future research and development in appropriate technology. This review uncovered a small but valuable level of information about acceptable technology in global health.

Design of evolutionary cubic spline intelligent solver for nonlinear Painlevé-I transcendent

In this research paper, an innovative bio-inspired algorithm based on evolutionary cubic splines method (CSM) has been utilized to estimate the numerical results of nonlinear ordinary differential equation Painlevé-I. The computational mechanism is used to support the proposed technique CSM and optimize the obtained results with global search technique genetic algorithms (GAs) hybridized with sequential quadratic programming (SQP) for quick refinement. Painlevé-I is solved by the proposed technique CSM-GASQP. In this process, variation of splines is implemented for various scenarios. The CSM-GASQP produces an interpolated function that is continuous upto its second derivative. Also, splines proved to be stable than a single polynomial fitted to all points, and reduce wiggles between the tabulated points. This method provides a reliable and excellent procedure for adaptation of unknown coefficients of splines by searching globally exploiting the performance of GA-SQP algorithms. The convergence, exactness and accuracy of the proposed scheme are examined through the statistical analysis for the several independent runs.

Perkembangan Tren Penelitian Kualitas Pelayanan Di Indonesia

This study aims to be able to provide an overview related to the development of research on service quality in Indonesia taken by the accredited journal Sinta 2 in Indonesia and provide an overview of concepts that are often used by researchers in Indonesia so that they can bring up novelty or development of various service quality research. The sample used is an article on service quality from 2007 to 2020 which discusses service quality. The method in this study, charting the field, is a search technique for classifying articles with established criteria, namely based on research methods, research content (research variables), research sectors used by researchers in Indonesia. The findings obtained were 167 articles contained in 29 accredited journals of Sinta 2 in Indonesia that had met the criteria. Then the articles are classified based on the research method, research content (research variables) and research sector. The conclusion of this research is that the research method used is dominated by quantitative methods. The independent variable used by the researcher is dominated by service quality. The dependent variable is dominated by customer satisfaction. The journal that dominates research on service quality is the Journal of Management Applications. Research on the quality of service in Indonesia is mostly conducted in the private sector

Hybrid Inertial Accelerated Algorithms for Solving Split Equilibrium and Fixed Point Problems

In this paper, we introduce a new hybrid inertial accelerated algorithm with a line search technique for solving fixed point problems for demimetric mapping and split equilibrium problems in Hilbert spaces. The algorithm is inspired by Tseng’s extragradient method and the viscosity method. Then, we establish and prove the strong convergence theorem under proper conditions. Furthermore, we also give a numerical example to support the main results. The main results are new and the proofs are relatively simple and different from those in early and recent literature.

Adoption of E-Learning at Higher Education Institutions: A Systematic Literature Review

<p>The concept of e-learning offers a number of benefits, however, the effective adoption of e-learning systems at HEIs is a relatively new concept and thus a challenging task. The comprehensive review of extant literature on the topic of adoption of e-learning systems at HEIs is provided. Using PRISMA search technique, relevant articles published from 2005 to 2020 owing to the widespread adoption of e-learning since 2005 were selected. The paper identifies and puts forward the level of compatibility and readiness of students and teachers in adopting e-learning, factors that motivate and hinder the adoption of e-learning respectively, benefits of adopting an e-learning system, and the strategies for the effective implementation of e-learning at the higher education institutions. In this realm of COVID-19 and e-learning, this paper also envisage different strategies, policies and recommendations for implementing e-learning in an effective way at HEIs.</p>

Encapsulation Video Classification and Retrieval Based on Arabic Text

Since Arabic video classification is not a popular field and there isn’t a lot of researches in this area especially in the educational field. A system was proposed to solve this problem and to make the educational Arabic videos more available to the students. A survey was fulfilled to study several papers in order to design and implement a system that classifies videos operative in the Arabic language by extracting its audio features using azure cognitive services which produce text transcripts. Several preprocessing operations are then applied to process the text transcript. A stochastic gradient descent SGD algorithm was used to classify transcripts and give a suitable label for each video. In addition, a search technique was applied to enable students to retrieve the videos they need. The results showed that SGD algorithm recorded the highest classification accuracy with 89.3 % when compared to other learning models. In the section below, a survey was introduced consisting of the most relevant and recent papers to this work.

Simulation of COVID-19 outbreaks via Graphical User Interface (GUI)

Background: This research aimed to model the outbreak of COVID-19 in Malaysia and develop a GUI-based model. Design and Methods: The model is an improvement of the susceptible, infected, recovery, and death (SIRD) compartmental model. The epidemiological parameters of the infection, recovery, and death rates were formulated as time dependent piecewise functions by incorporating the control measures of lockdown, social distancing, quarantine, lockdown lifting time and the percentage of people who abide by the rules. An improved SIRD model was solved via the 4th order Runge-Kutta (RK4) method and 14 unknown parameters were estimated by using Nelder-Mead algorithm and pattern-search technique. The publicly available data for COVID-19 outbreak in Malaysia was used to validate the performance of the model. The GUI-based SIRD model was developed to simulate the number of active cases of COVID-19 over time by considering movement control order (MCO) lifted date and the percentage of people who abide the rules. Results: The simulator showed that the improved SIRD model adequately fitted Malaysia COVID-19 data indicated by low values of root mean square error (RMSE) as compared to other existing models. The higher the percentage of people following the SOP, the lower the spread of disease. Another key point is that the later the lifting time after the lockdown, the lower the spread of disease. Conclusion: These findings highlight the importance of the society to obey the intervention measures in preventing the spread of the COVID-19 disease.