Determination of Physicochemical Properties of Honeybee from different regions in Sudan
Honey is a natural product, it is used for different purposes as nutritional, medicinal and industrial and it is an important commodity in the local and international markets. This study has been carried out for honey analysis from four different regions in Sudan to determine the physiochemical characterization. The ash content in range 0.173 % to 1.013 % within Codex standard 0.6 %. Moisture content range was 13.936 % to 15.863 % the standard value 20%. The protein content range was 0.875 % to 1.750 %. Insoluble solids content ranged from 0.066 % to 0.337 %, with standard value 0.1%. Diastase activity content not detected in one samples and maximum value 10.241 Schade. The pH and acidity determined where pH ranged 3.81 to 4.77. Free acidity determined, results ranged from 16.00 to 33.50 meq/Kg, obtained within international standards 50 meq/Kg. Lactone content ranged from 118.50 to 297.00 meq/Kg. The total acidity was ranged from 134.5 to 314.5 meq/Kg. Analyzed honey samples are of high quality and conform to international standards. The variation of some compounds which detected in honey sample due to botanical origin of honey and other the parameters influence in honey quality.
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Formulation, acceptability and promotion of pearl millet (Pennisetum glaucum) incorporated Indian sweets
Millet is one of the oldest foods known to humans and pearl millet (Pennisetum glaucum) is the most widely grown type of millet. To test the acceptability and cost effectiveness of pearl millet based Indian sweets, establish their nutritional superiority and to promote them among school-going adolescent girls. Pearl millet was selected, procured, cleaned, roasted and milled. The milled flour was sieved repeatedly to get a fine flour. The flour was stored at room temperature in airtight HDPE. The pearl millet flour was incorporated in Indian sweets such as appam, Sweet murukku, Sesame balls, Groundnut balls and Roasted bengal gram balls. Appam (PMA), sesame balls (PMSB), groundnut balls(PMGB) and roasted bengal gram balls (PMRB) contained 40 percent of pearl millet flour and sweet murukku (SPMM) contained 60 percent of pearl millet flour. Their acceptability was evaluated, nutrient content and the Cost Effective Ratio (CER) were calculated. An overall acceptability score percentage of 90 and above was obtained by all the prepared sweets namely, sesame balls, groundnut balls, roasted Bengal gram balls and sweet murukku. Pearl millet appam and control sweet murukku which obtained a score of 86.67 percent and 87.56 percent respectively. The cost of preparation of 100 g of pearl millet based sweets and their control is well below Rs. 10. Pearl millet based Indian sweets are low cost recipes and highly acceptable.
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Effects of pig manure-based compost on the productivity of Xanthosoma sagittifolia (L.) Schott under Goma conditions
In an attempt to evaluate the productivity of two varieties of cabbage-caraïbe: Xanthosoma sagittifolia (L.) Schott (violet and green), using compost from pig manure as fertilizer, a trial was conducted in Goma using a pairwise experimental design, with two blocks of three plots each, representing the two varieties tested. The planting was done at a distance of 50 x 50 cm. A total of 48 plants were planted for each of the varieties studied, at a rate of 16 plants per 4 m2 plot, for a total of 96 plants for the entire experiment.The observations made during this study were related to the number of tubers per plant, the diameter of the tubers obtained, the weight of tubers per plot and the yield in tons per hectare. The correlation between the different yield parameters observed was calculated. The effects of the pig dung compost on the production parameters were assessed using the one-criteria analysis of variance classification with SPSS 20 Software (IBM SPSS Statistic, 2015). The significance level was set at 0.05%.The results obtained showed that: 1. The violet variety produced a greater number of tubers per plant than the green variety with an average of 10.66 ± 1.15 versus 6.66 ± 0.57. The difference observed from a statistical point of view is significant (?2 = 96.000 ; P < 0.000). These results indicate that the number of tubers produced per plant does depend on the variety tested ; 2. The size of the tubers obtained does not depend on the variety tested (?2 = 263.537 ; P < 0.045) ; 3. The violet variety produced heavier tubers (15.03 kg) compared with those of the green variety (8.76 kg). The difference observed statistically was significant (?2 = 60.134 ; P < 0.000). These results indicate that tuber weight does depend on the variety tested. In addition, the violet variety gave a better yield (37.58 t/ha) compared to the green variety (21.90 t/ha) in terms of cultivated area ; 4. There is a positive correlation between the weight and the number of tubers produced on the one hand (r = 0.917 and R2 = 0.840) and on the other hand between the weight and the size of tubers (r = 0.872 and R2 = 0.760). The overall results obtained reveal that the violet variety performed better in terms of the parameters studied and is more adapted to organic fertilization compared to the green variety.
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Role of imaging in the diagnosis of iliac haemophilic pseudotumors: a rare case report
Haemophilic pseudotumor is a rare complication of haemophilia consisting of chronic, encapsulated hematoma of muscle and or bone due to repeated bleeding. It is estimated to occur in approximately 1-2% of patients with severe disease. Imaging tests (radiography, sonography, CT, and MRI) are fundamental for diagnosis and monitoring the evolution of pseudotumors. In this paper, we report the radiography and computed tomography aspects of a rare case of a patient with large iliac hemophilic pseudotumor, occurring in severe hemophilia.
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Analyzing a Supplier’s Decision under the Combination of Long-Term and Penalty Contracts
Game-theoretic approach is common in supply chain management to analyze the effect of controllable factors on the decision parameters. This study examines a combination of a long-term contract and a penalty contract for multiple periods between a single supplier and a retailer. Demand is stochastic but uniformly distributed over the selling seasons of periods. Supplier’s capacity decision is required to be taken at the beginning of period before the retailer placing the order. The supply chain performance is observed by analyzing committed order quantity and the sole total profits of supplier and retailer.
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Assessment of biomass and carbon sequestration of Millettia laurentii De Wild (Wenge) after 76 years in plantation at Yangambi Biosphere Reserve
Deforestation and forest degradation are still occurring at an alarming rate, and are contributing significantly to the current loss of biodiversity. Every year, about 13 million hectares of forest are converted to various uses. Many ecologists attest that sylviculture is one of the remedies to this problem. In this paper, we evaluate the impact of silvicultural techniques on the carbon sequestration potential of Millettia laurentii plantations. A carbon stock estimation study was conducted in 2016 in three silvicultural plots installed in 1940 following the Layon, Blanc etoc and Martineau techniques. Diameter at breast height of 359 M. laurentii individuals and wood density were used in an allometric equation to estimate biomass and sequestered carbon. In the Layonnage plot, biomass and carbon stored were 914.39 t/ha and 457.19 t/ha respectively; 695.47t/ha and 347.74t/ha in the Blanc Etoc plot; 767.67 t/ha and 383.8 t/ha in the Martineau plot. After 76 years in plantation, the Layon technique proved to be more favorable to biomass production and carbon stock by M. laurentii.
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Precipitation of barium sulphate from sulphate-rich acid mine drainage
Sulphate-rich acid mine drainage (AMD) generated by some mining industries is a serious issue to water treatment industry operators and the South African government. The aim of carrying this study is to reduce if not completely remove the high concentration of sulphate in the AMD by using reagent grade chemical barium chloride. Precipitation technique was used to synthesize barium sulphate from sulphate-rich acid mine water with the addition of barium chloride solution to form a white precipitate. The precipitate formed was characterized using analytical techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), high resolution transmission electron microscopy (HTREM), Fourier transform infra-red (FTIR) spectroscopy and Brunauer-Emmett-Teller (BET). Synthesized barium sulphate was compared with reagent grade synthesized BaSO4 was characterize with XRD to identify the mineral phase, while SEM and HRTEM revealed similar morphology and the BET surface area for both synthesized and reagent grade barium sulphate crystals were determined to be 7.7 m2/g and 68 m2/g. The results from this study shows that sulphate in the acid mine water can be used to synthesize barium sulphate.
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Potato leaf Roll virus (PLRV) on Solanum Tuberosum L. in Eastern Zone of Nepal and Adjoining Area of India
Potato is cultivated in plain and hilly area of eastern zone of Nepal and adjoining area of India. It is an important ingredient of vegetables- boiled, fried and spicy used in daily diet. Potato is grown a little in eastern zone against the demand and mostly imported from India. Potato requires a wide range of soil- sandy loams, slit loams, loams and peat. The tuber is rich in starch. The varieties of potato such as Kufri Red, Kufri Sinduri have been developed in Central Potato Research Institute, Simla. The survey of potato cultivation was completed on Date 15/03/2022 at Devanganj, Sunsari district of Province no 1. Some branches of potato were suffering from leaf roll disease by the pathogen Potato leaf roll virus (PLRV). Polero Virus transmitted by green peach aphid Myzus persicae. Severity of the disease was 4-8%. Identification of the potato leaf roll virus was according to Mehrotra (1980)21, Gibbs (1969)9, Gibbs & Harison (1976)12, Gibbs, et al. (1966)10, Nagaich, et al. (1972)22 Lowff & Tournier (1966)19, Smith (1929)32, Smith (1957)33, Widely (1971)36, Pandey (2018)25, Rangaswami (1994)28 & Singh (1968)31.
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Configuring GRE Over IPSEC VPN With Certificate Authority Using GNS3
There are many protocols which are used to secure the data transfer between the computing devices in a network. Increase in the use of internet is also increase the demand of security and privacy in a communication and communication channels. To secure the networks there are some protocols which will be used for encryption and authentication for all IP packets of a session. In this research paper will include the advantages and all possible solutions of some techniques which are used to increased security of the network like scalability and data confidentiality. This paper analysis of two most widely used tunneling protocols in secured transmission of data the GRE (Generic Routing Encapsulation) and also the IPSEC (IP Security) established the comparison between them and evaluate the capabilities for security or privacy of the web internet network and for increasing and adding more security and privacy we are going to also contain and used CA (Certificate Authority) for increasing the network security. We use GNS3 (Graphical Network Simulator 3) for traffic analyses
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Heart Disease Prediction Analysis using Machine Learning Algorithms
The health care field contain large amount of data and in order to process this data, we must use any advanced techniques that will be helpful to deliver effective results and make effective decisions on the data and obtain relevant results. Heart disease is a major problem and is one of the main reasons for saying no. of deaths occurring worldwide. In this paper, the practical framework of Heart Disease Prediction is applied using algorithms in Machine Learning such as Logistic regression, Naïve Bayes, Support vector machine, KNN, decision tree, random forest, XG-Boost and the neural network. This framework uses 13 factors such as age, gender, blood pressure, cholesterol, oldpeak, cp, etc. In the first step, we upload a database file and select an algorithm to perform on the selected database. Then accuracy is predicted for each selected algorithm and graph, and the model is designed for the one with the highest accuracy by training the database in it. In the next stage, input is given to each candidate parameter and based on that method produced, the stage with heart disease is predicted. We then take precautionary measures by looking at the patient's condition. Our strategy is effective in predicting the heart attack of a traumatized person. The Heart Disease Prediction Framework developed in this concept is one of the different methods that can be used within the heart disease category.
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