American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
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Prediction of Genomic Signature of Ngs Sequences and Comparative Drug-Likeness
Get PDFDeveloping a drug or particular immunotherapy medication for a worldwide epidemic illness caused by viruses (current pandemic) necessitates comprehensive evaluation and annotation of the metagenomic datasets to filter nucleotide sequences quickly and efficiently. Because of the homologs\u27 origin of aligning sequences, space complexity, and time complexity of the analyzing system, traditional sequence alignment procedures are unsuccessful. This necessitates employing an alignment-free sequencing approach in this research that solves the foregoing issue. We suggest a distance function that compresses performance metrics for automatically identifying Short nucleotide sequences used by SARS coronavirus variants to identify critical features in genetic markers and genomic structure. This method provides easy recognition of data compressed by using a set of mathematical and computational tools in the study. We also show that by using our suggested technique to examine extremely short regions of nucleotide sequences, we can differentiate SAR-CoV-2 from SAR-CoV-1 viruses. Later, the Lipinski descriptor (rule of 5) was used to predict the drug-likeness of the target protein in SARS-CoV-2. A regression model using random forest was created to validate the machine learning model for computational analysis. This work was furthered by comparing the regressor model to other machine learning models using lezypredict, allowing scientists to swiftly and accurately identify and describe the SARS coronavirus strains.
Development and Application of Modern Charging Solutions for Industrial Battery Systems
Get PDF The article will consider the features of the development of modern charging solutions for industrial battery systems. This is necessary for the growing use of electric vehicles, renewable energy sources, and storage systems. The aim is to analyze advanced charging technologies to improve industrial batteries\u27 efficiency, safety, and durability. The methodology includes consideration of modern charging algorithms, intelligent battery management systems (BMS), and integration with telematics systems for remote monitoring of battery status. The results demonstrate that the use of adaptive charging algorithms, and BMS systems allows you to extend the life of batteries, increase operational safety, and reduce equipment downtime. The conclusion highlights the importance of integrating intelligent charging solutions into industrial processes to improve energy efficiency and reduce carbon emissions
Magnitude of Physical and Sexual Violence among Eritrean Women Refugee Living in Addis Ababa, Ethiopia in the Year 2022
Get PDFPhysical and sexual violence is seen as a complex and sensitive issue to engage with, are covered in silence, and have all led to inaction. This study is intended to fill the gap on the availability data on magnitude physical and sexual violence, where limited researches had been conducted focusing mainly on urban women refugee in Addis Ababa, Ethiopia. The study aimed to determine the magnitude of physical and sexual violence based on cross-sectional study. It was conducted on sample of 427 Eritrean refugee women living in Addis Ababa, Ethiopia. Systematic sampling was used to select the sample unit from the study population. Among the women refugee respondents 59% (95%CI 54.2-63.7) reported that they were physically violated. Among physically violated 87.3% were slapped. Pushed, shoved and pulled. Partner physical violence is 15.2% while non-partner physical violence is 43.8%. Magnitude of Sexual violence is 55.7% with (95% CI 50.9-60.5).Among the sexually violated 94.4% were responded as touched; kissed and insulted. The Magnitude of physical and sexual violence in Eritrean refugees in Addis Ababa is so high. Overall knowledge of prevalence of sexual and physical violation will help to study further researches to study the risk factors and then to prevent it
A Deep Wavelet AutoEncoder Scheme for Image Compression
Get PDFFor many years and since its appearance, Digital Wavelet Transform DWT has been used with great success in a wide range of applications especially in image compression and signal de-noising. Combined with several and various approaches, this powerful mathematical tool has shown its strength to compress images with high compression ratio and good visual quality. This paper attempts to demonstrate that it is needless to follow the classical three stages process of compression: pixels transformation, quantization and binary coding when compressing images using the baseline method. Indeed, in this work, we propose a new scheme of image compression system based on an unsupervised convolutional neural network AutoEncoder (CAE) that will reconstruct the approximate sub-band issue from image decomposition by the wavelet transform DWT. In order To evaluate the model’s performance we use Kodak dataset containing a set of 24 images never compressed with a lossy algorithm technique and applied the approach on every one of them. We compared our achieved results with those obtained using standard compression method. We draw this comparison in terms of four performance parameters: Structural Similarity Index Metrix SSIM, Peak Signal to Noise Ratio PSNR, Mean Square Error MSE and Compression Ratio CR. The proposed scheme offers significate improvement in distortion metrics over the traditional image compression method when evaluated for perceptual quality moreover it produces better visual quality images with clearer details and textures which demonstrates its effectiveness and its robustness
Effect of Organic Matter on Growth of Arabica Coffe (Coffea Arabica) Variety
Get PDFThe research was conducted in Maliana, Bobonaro District, Timor Lest to evaluate the effect of using organic matter on the growth of Arabica coffee varieties. The experiment was laid out in a completely randomized design (CRD) with four treatments and three replications. The variables observed were the height of the plant, diameter of the stem, number of leaves, length of root, weight of fresh biological yield, and weight of dry biological yield. The results showed significant differences in agronomic traits in plant height, stem diameter, fresh weight of biological yield and root length. However, we did not detect any difference in the number of leaves or the dry biological yield. The addition of cow manure gave higher yields than ground coffee and wood powder and did not provide organic matter. The application of cow manure resulted in higher yields than the other treatments for all variables, successively plant height (24.63 cm), stem diameter (0.34 cm), number of leaves (12.45 sheet), fresh weight of biological yield (24.36 gr), dry weight of biological yield (12.67 gr) and root length (22.95 cm)
Quality of Tomatoes Produced in the Irrigated Area of Chókwè
Get PDFThe tomato plant is considered a creeping vegetable, with a flexible stem and determinate or indeterminate growth, which can be cultivated in any region and is very complex from an agronomic point of view. Its fresh fruit has a low caloric value, low dry matter content and is rich in calcium and vitamin C. It is recommended for people who need an easily digestible food or who wish to follow a hypocaloric diet. The aim of this study was to evaluate the quality of tomatoes produced in the irrigated area of Chókwè, Gaza Province. 100 samples from smallholders and 100 from the commercial sector were characterised for pH by potentiometry, soluble solids content by refractometry, fat content by Soxhlet extraction method, ash by incineration method, moisture by desiccation loss method, protein by biuret method, lycopene by spectrophotometry, total titratable acidity by titration and vitamin C by spectrophotometry. The data were analysed using R 4.1.2 statistical software. The results showed values from 1.30 to 11.15 ?g/100g for lycopene, 2.6 to 8.78mg for protein, 0.23 to 1.95% for ash, 91.19 to 95.16% for moisture, 2.88 to 14.91% for total titratable acidity, 0.26 to 3.44% for fat, 3.64 to 4.65 for pH and 79.89 to 85.15mg/100g for vitamin C.The study showed that the tomatoes produced by the smallholders were of better quality than those produced by the commercial sector
Advances in Civil Engineering Materials: The Case of DPWH-Aurora District
Get PDFThis study aimed to know the usability of modern technologies and other advancements in science to facilitate the choice of materials in the DPWH Project in the District Office of Aurora. More specifically, it answered the following: (a) standard processes involved in the procurement of materials in the DPWH-Aurora; (b) advances in civil engineering materials; and (c) plan of action to facilitate the usability and utilization of these advances in civil engineering materials. The descriptive research method was used in this study, which entails collecting, analyzing, categorizing, and tabulating information about current situations, practices, beliefs, processes, trends, and cause-and-effect relationships before providing adequate and accurate interpretations of the information with or without the aid of statistical techniques. Within the scope of the study, Aurora has ten engineering offices: eight municipal engineering offices, one provincial engineering office, and the District Office of the Department of Public Works and Highways. The findings revealed that the civil engineers often employed the standard processes involved in the procurement of materials in the DPWH-Aurora while they often managed to establish advances in civil engineering materials in different projects. It was concluded that the need for a cost estimation approach that incorporates all estimation components from both kinds, including estimator-specific, design-specific, and project-specific aspects, is critical. It was suggested that Project Engineers should be utilizing common benchmarks that could aid in categorizing, grouping, and ranking cost estimation projects
Use of Solar Photovoltaic Systems and Heat Pumps for Achieving Net-Zero Carbon Emission Greenhouses Due to Energy Use: A Case Study in Crete, Greece
Get PDFRenewable energies and low-carbon energy technologies have currently limited use in greenhouses. The use of sustainable energy technologies in many sectors, including agricultural greenhouses, is desirable and attractive for reducing the climate impacts of agriculture. Their maturity, reliability and cost-effectiveness has been proved and their use in many applications has been accelerated. Reports regarding net-zero energy and net-zero carbon emission greenhouses are limited so far. However, the global policies for climate change mitigation and creation of a net-zero carbon economy in the coming decades favors the use of benign energy sources replacing the polluting fossil fuels. The use of heat pumps and solar-PV systems for energy generation covering the needs for heat, cooling and electricity in an existing greenhouse located in Crete, Greece has been investigated. The combined use of these green energy technologies can eliminate the use of fossil fuels resulting in a net-zero carbon-emissions greenhouse. The size of the greenhouse studied was 3,300 m2, the nominal power of the solar-PV system generating all the required electricity was estimated at 254.23 KWel and its installation cost at 233,052 €. A heat pump with COP equal to 3 and power at 254.23 KWel can cover all the peak heat and cooling demand of the greenhouse while its installation cost is at 1,144,035 €. The total installation cost of the abovementioned benign energy systems is at 417.30 €/m2. Our research indicates that sustainable energy technologies can generate all the required energy in agricultural greenhouses zeroing their net-carbon emissions and promoting the carbon neutral agriculture
Type and Technical, Allocative and Economic Efficiencies in Agricultural Production: The Case of Women Market Gardeners in the Ouémé Valley in Southern Benin
Get PDFThe objective of this study is to analyse the technical, allocative and economic efficiencies in the market gardening production in the Ouémé Valley, southern Benin. To this end, a descriptive and analytical study was carried out on a sample of 472 randomly selected market gardeners in the Ouémé Valley, distributed in Dangbo, Adjohoun, Bonou and Aguégués.
The technical and economic efficiency scores were estimated, respectively, using stochastic frontier models of the Cobb-Douglas type and a dual cost function. The Tobit regression model was used to identify the factors determining the economic efficiency of women producers. The results show that female market gardeners are on average technically efficient. However, the results from the production and cost frontiers indicate the presence of technical and allocative inefficiencies within the production units. The estimated technical, allocative and economic efficiency scores are on average 0.921, 0.893 and 0.823 respectively. Finally, the estimation of the determinants of efficiency showed that age, area and farm labour are the main determinants of economic efficiency of market gardeners in the Ouémé valley. Based on the results obtained, it is important to improve the efficiency of market gardeners and thus increase their profits through a policy of light mechanisation of the activity and the strengthening of technical support for the organisation of women producers
Mathematical Analysis of Regression Model Epidemiology
Get PDFStatistical modeling techniques, specifically regression line analysis have become important analytical tools and are contributing immensely to the field of epidemiology. However, many users do not understand their effective use and applications. Underlying epidemiological concepts and not the statistics should govern or justify the proper use and application of any modeling exercise. Main utility of the regression line analysis lies in its ability to provide a general but practical conceptual framework for casual problems, explaining and evaluating the role of biases, confounders and effect modifiers. Successful modeling of complex data is a part science, part statistics and part experience, but the major part is logic or common sense. Findings of this research article focuses on the contributions of regression analysis towards the pedagogical study of epidemiological models by enhancing the research process and serving as an effective tool for communicating findings to public health managers and policymakers and fostering interdisciplinary collaboration