American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
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    2107 research outputs found

    Impacts of Selenium Foliar Biofortification on the Biochemical Composition and Grain Yield of Rice Cultivars

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    Selenium Se is an essential micronutrient for humans and animals linked to important biological functions in the body, where its deficiency has been associated with serious diseases. Rice is essential in feeding more than half of the world\u27s population. Some studies show beneficial effects of Se in higher plants. Thus, the objective of this work was to determine the effect of leaf Se doses on biofortification, agronomic characteristics and biochemical characteristics of the grains of two irrigated rice cultivars. The factors under study were five doses of Se (0, 30, 60, 90 and 120 g ha-1) using as sodium selenate source (Na2SeO4), and two rice cultivars (IRGA-424 and IRGA-426). The leaf application of Na2SeO4 allowed the biofortification of rice grains with Se, however, it affected its yield and some biochemical components. The cultivar IRGA-426 Se shows superior because it allows a higher concentration of Se in the grains, presents higher yield and better nutritional content. The cultivar IRGA-426 with the dose 60 g ha-1 Se was the viable combination to increase the content of Se in the grains, which may result in benefits for the health and food safety of the population

    A Study of the Classification Method of Bone Marrow Blood Cells Based on MobileVit

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    The automatic classification of bone marrow blood cells is of great significance to diagnosis of acute leukemia. We applied the MobileVit network model to morphological classification of bone marrow cells by using transformer based on self-attention mechanism as convolution for global representation and achieve a global representation with reduced calculation parameters. We found that in the bone marrow blood cell classification task, without the use of transfer learning, MobileVit classification achieved 97% accuracy, exceeding the classification accuracy of Resnet and Densenet networks, and reducing FLOPS and params significantly. Compared to other lightweight networks, the MobileVit model demonstrates improved accuracy and comparable FLOPS and params

    The Clothing Consumer Profile in Paraná Coast (Brazil) in the Economy Resumption: The Post-Pandemic (Covid-19) ‘New Normal’

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    Aiming to support a better understanding of the clothing retail trade scenario after the crisis of the new coronavirus (SARS-CoV-2: COVID-19) and the recovery of the Brazilian economy, it is presented the result of a descriptive exploratory research applied from June to September 2021 with 118 consumers located in Paraná Coast, in the Southern region of Brazil. The results showed that consumers were on average 29.06 years old with an average household income of USD 798.12, with women having a small greater margin in relation to the purchase of clothes when compared to men. The purchase preference among the interviewees was still for physical stores (n=51.95%), and among the factors that had greater relevance, the purchase of bespoke products was highlighted, eliminating the time-consuming exchanges of online shopping, the convenience of proximity to their homes and the possibility of trying on the desired pieces. The factors that hindered purchases were the small diversity of models and sizes of clothing, and in particular the issue of the price, which is considered high and constitutes a restrictive factor to retail trade in the region, and in a general context, the retail trade in Paraná Coast cannot satisfactorily meet the customers’ wishes. Especially in this period of the economic recovery and the return to face-to-face work, after so many deaths of the Brazilian population, it is necessary to consider other influences, not only those originating from the marketing process, such as relationship marketing

    Text Categorization Model Based on Linear Support Vector Machine

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    Spam mails constitute a lot of nuisances in our electronic mail boxes, as they occupy huge spaces which could rather be used for storing relevant data. They also slow down network connection speed and make communication over a network slow. Attackers have often employed spam mails as a means of sending phishing mails to their targets in order to perpetrate data breach attacks and other forms of cybercrimes. Researchers have developed models using machine learning algorithms and other techniques to filter spam mails from relevant mails, however, some algorithms and classifiers are weak, not robust, and lack visualization models which would make the results interpretable by even non-tech savvy people. In this work, Linear Support Vector Machine (LSVM) was used to develop a text categorization model for email texts based on two categories: Ham and Spam. The processes involved were dataset import, preprocessing (removal of stop words, vectorization), feature selection (weighing and selection), development of classification model (splitting data into train (80%) and test sets (20%), importing classifier, training classifier), evaluation of model, deployment of model and spam filtering application on a server (Heroku) using Flask framework. The Agile methodology was adopted for the system design; the Python programming language was implemented for model development. HTML and CSS was used for the development of the web application. The results from the system testing showed that the system had an overall accuracy of 98.56%, recall: 96.5%, F1-score: 97% and F-beta score of 96.23%. This study therefore could be beneficial to e-mail users, to data analysts, and to researchers in the field of NLP

    Impacts of the Adoption of IFRS 16 for Companies with Intensive Use of Mobile Assets

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    This study analysed through an event study if the IFRS 16 disclosure on January 2016 and its implementation on January 2019 affected the value of the companies. The IFRS 16 addresses the accounting for lease and its operation. Before its effectiveness, operating lease and rental were recorded in the financial statements as operating expenses, known as off-balance sheet. This change consisted in classifying the current operating lease and rental, changing the entry in the financial statement of “operating expenses” for “depreciation and interest”, without changing the total amount, that is, without impact on the profit for the year. According to the cash flow analysis, a change on the value of the company is not expected. The mining segment was chosen because it has an intensive use of mobile assets. This segment uses operating lease and rental in order to have available operational mobile assets. A total of 1002 companies on the Toronto, London, and Sydney stock exchanges were analysed on the two reference dates. Variations in abnormal returns suggested that the value of companies was affected by the IFRS 16 disclosure and implementation

    Biological, Functional and Physico-chemical Characterization of Chitosan Extracted from Blue Crab (Portunus segnis) Shell Waste by Chemical Method

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    The aim of this work was to extract a bioactive material « chitosan » from the by-products of blue crab (P. segnis) by chemical extraction method. The physico-chemical, functional and biological properties of the chitosan obtained were evaluated. The yield of the extracted chitosan was calculated as 9.2 ± 2.03%. The proximate analysis showed 2 ± 0.03% moisture, 0.57 ± 0.02% ash, 0.3 ± 0.01% lipid and 0,2 ± 0,03% protein contents in chitosan. Degree of deacetylation (DD) value was calculated using potentiometric titration (78.97 ± 0.38%) and FTIR (81,47 ± 0.51%) resulting in a high DD. Whiteness value, water and fat binding capacities of the chitosan were high and are suitable for many functional food applications. Structural characterization was performed using FTIR spectroscopy which confirms the presence of amino group of chitosan synthesized. Antioxidant activity assay showed that chitosan exhibited notable antioxidant activity against DPPH (20.13 ± 1.41% to 70.63 ± 1.26%), but lower than that of ascorbic acid (49.17 ± 1.13% to 87.46 ± 1.22%) at the same concentrations (0,5 to 10 mg/mL), in a dose dependent manner. Its required IC50 to inhibit 50% of radical DPPH was 1.86 ± 0.31 mg/mL. Extracted chitosan showed a significant antimicrobial activity against bacteria and fungi. In conclusion, the extracted chitosan is an effective natural biopolymer possessing potential properties

    Students’ Attitude Towards Dental Complete Denture Treatment : A Questionnaire Study

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    Aim. The purpose of the study was to identify the students\u27 opinion regarding the degree of difficulty felt by them when studying and performing clinical procedures for the manufacture of complete dentures. Materials and methods. A questionnaire survey was designed and distributed to the dental students from the University of Medicine and Pharmacy “Iuliu Hatieganu” Cluj-Napoca, Romania.  The questionnaire had 5 questions about procedures involved in the fabrication of complete dentures. Results. The subjects involved were students (n=236) who had completed five years of dental education. Questionnaires were distributed and Data analysis was done using Excel spreadsheet. Conclusion. The students admit less confidence regarding the maxillomandibular relationship registration

    Effect of Garlic (Allium Sativum) Supplementation on Growth Performance and Serum Biochemistry of Broiler Chicks

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    The current study was conducted in the poultry shed of Livestock Research & Development, Khyber Pakhtunkhwa, Peshawar, Pakistan. A total of 120, day-old straight run broilers were procured from Big Bird Pvt. Ltd. The study was comprised of four experimental groups (G.S-0%, G.S-0.3%, G.S-0.6%, G.S-0.9%) having three replicates in each group with ten birds per replicate. Powdered garlic was supplemented @ 0, 0.3, 0.6 and 0.9% to different experimental groups in their basal diet. Zero level was kept as control group. Dietary intake, weight gain and feed conversion ratio (FCR) along with serum biochemical profile of birds were studied. The data in respect of feed intake, weight gain and feed conversion ratio were recorded for each week whereas serum biochemical profile was determined after the completion of the research trial. Dietary intake, was found statistically similar during all the four weeks and overall basis. Weight gain and FCR were statistically not different during the 1st three weeks of research trial whereas significantly different (p?0.05) at 4th week and also for overall growth performance in terms of above-mentioned parameters. Significantly improved weight gain was observed for treatment group (G.S-0.9%) whereas significantly improved FCR was found for group (G.S- 0.6%) as compared to control group. Overall antibody titer against Newcastle disease was non-significant among the experimental groups except G.S-0.6% which was statistically greater (p?0.05) than control. As far as, antibody titer against infectious bursal disease (IBD) is concerned, experimental group (GS-0.9%) shown significantly improved (p?0.05) antibody titer in comparison to other experimental groups. Garlic supplementation has shown positive impact on serum biochemical profile. Significantly lowered total serum cholesterol and triglycerides levels were recorded for group (GS-0.6%) as compared to other groups. Garlic supplementation @ 0.6% in basal diet is recommended for better and economic production in meat type birds

    Optimum Conditions for the Removal of Lead from Aqueous Solution Using Paw-paw Trunk Activated Carbon

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    The study investigated the optimum conditions for the removal of lead from aqueous solution using chemically activated pawpaw trunk (UPTAC) with ZnCl2. The design of experiment (DoE) was based on three variables, contact time, adsorbate concentration and adsorbate pH, and a total of 27 experimental runs were used to study the effects of the parameters using the response surface methodology (RSM). Batch adsorption studies on the effects of adsorbent dosage, initial adsorbate concentration, contact time and adsorbate pH were used as variables to obtain the optimum conditions. Results showed that the amount of leads adsorbed was found to vary with adsorbent doses, initial adsorbate concentration, stirring time and adsorbate pH. However, the rate of lead removal increased with smaller adsorbent dosage while the amount adsorbed per unit mass increased with increase in initial lead concentrations. Generally, UPTAC achieved optimum % removal of 99.51% at initial lead concentration of 50mg/l and its removal was pH dependent (pH 6) tending towards neutral. Also, there was increase in adsorption of lead ions with increase in stirring time due to increase in kinetic energy of the metal and UPTAC attained equilibrium in 60mins. Thus, UPTAC could effectively remove lead from aqueous medium using the above optimum conditions

    Pilot Design of a Distillation Column to Obtain Isoamyl Alcohol from Fusel Oil

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    Brazil stands out internationally in the production of biofuels, especially ethanol, and its importance is commonly the subject of several studies. In the sugar-alcohol sector, the distillation process is essential for the good quality of the final product. However, from this operation, a residue that does not have high economic value in its natural state, the fusel oil, is also produced. The present work aims to design a pilot distillation column to obtain the isoamyl alcohol present in this by-product to add economic value to it. The McCabe-Thiele method was selected for dimensioning the distillation column, and the main results consisted of a distillation efficiency of 36%, using 8 trays, and a purity of isoamyl alcohol analyzed by chromatography of 92,2 %. Therefore, the work presents an alternative for the use of this important by-product

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    American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
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