2,969 research outputs found
Economics of Education: An Idea for a Poor Nation
Bangladesh has been beset with manifold everyday problems even after becoming a lower middle-income country in 2015. This paper argues that the huge population is a key problem in this country and the existing higher education at general universities and colleges is generally unproductive. Against this backdrop, this study suggests that the country's population problem can be transformed into human resources by introducing a purposeful higher education system. The purposeful education will have three broad-based impacts on the society. First, wastage of education will be minimised and efficiency will go up as people will get a job matching their skills they gain from their study. Second, there will be less possibility of unemployment as students will be provided with skills related to the demands of local and foreign job markets, and the governmental will help them secure jobs. Third, the existing size of the population will go down significantly in line with the students moving abroad with jobs in a revolutionary way, which could revolutionise the country's socioeconomic condition
MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters
At present, recognition of the Bangla handwriting compound character has been
an essential issue for many years. In recent years there have been
application-based researches in machine learning, and deep learning, which is
gained interest, and most notably is handwriting recognition because it has a
tremendous application such as Bangla OCR. MatrriVasha, the project which can
recognize Bangla, handwritten several compound characters. Currently, compound
character recognition is an important topic due to its variant application, and
helps to create old forms, and information digitization with reliability. But
unfortunately, there is a lack of a comprehensive dataset that can categorize
all types of Bangla compound characters. MatrriVasha is an attempt to align
compound character, and it's challenging because each person has a unique style
of writing shapes. After all, MatrriVasha has proposed a dataset that intends
to recognize Bangla 120(one hundred twenty) compound characters that consist of
2552(two thousand five hundred fifty-two) isolated handwritten characters
written unique writers which were collected from within Bangladesh. This
dataset faced problems in terms of the district, age, and gender-based written
related research because the samples were collected that includes a verity of
the district, age group, and the equal number of males, and females. As of now,
our proposed dataset is so far the most extensive dataset for Bangla compound
characters. It is intended to frame the acknowledgment technique for
handwritten Bangla compound character. In the future, this dataset will be made
publicly available to help to widen the research.Comment: 19 fig, 2 tabl
A study of profile of patients with different degrees of anemia
Background: It has been estimated that 1.62 billion population of the world are suffering from anemia. Preschool children show a highest prevalence of 47.4%. Adult males show a lowest prevalence of 12.7% of anemia. Objective was to study the profile of patients with different degrees of anemia.Methods: Over a period of seven months, from January 2014 to July 2014, a cross sectional study was conducted at department of pathology, Lt. BRKM government medical college, Jagdalpur, Chhattisgarh, India. It was possible to study the 250 cases during the tenure of the study period for the present study.Results: It was found that only 3.2% of cases were not having anemia. Thus, the overall prevalence of anemia in the present study was found out to be 96.8%. 62.5% of males and 37.5% of females were having normal hemoglobin. It was found that with normal hemoglobin of more than 12 gm%, no case was having serum iron less than 10.6 µmol/l. All cases without anemia had normal serum iron. 30.3% of cases of anemia had normal serum iron levels. 75.6% of cases across all degrees of anemia were showing microcytosis. This was more in moderate anemia having hemoglobin of 6-9 gm% followed by 42.4% in cases having mild anemia of hemoglobin of 9-12 gm%. Only 13.5% with severe degree of anemia were showing the microcytosis. 24.4% of cases were showing the normocytosis whereas no case has shown the macrocytosis.Conclusions: Prevalence of anemia was more in females. Serum iron did not correspond with the degree of anemia. There is need to emphasize more on awareness about anemia and its prevention especially in mother and child age group
Analysis of time delays in scheduled and unscheduled communication used in process automation
This paper introduces a network model for analysing the time delays of scheduled and unscheduled communication services among field devices used in process automation. The proposed model is implemented by configuring multiple control loops of real-time field devices into a network. The consensus of the network is designed using segment checkerTM simulation software. The simulated network of the field devices is re-configured for the proposed network model by mapping virtually. Every device is treated as a node in the network model and the real-time data is accessed. The time delays recorded for both scheduled and unscheduled communication of field-bus topology in simulation environment and the performance is compared with scheduled communication delay. The better bandwidth utilization and assignment of field device is achieved by introducing the unscheduled communication time delays in the network. It helps in the improvement of network capacity by accommodating more devices and reduces the commissioning cost
Detecting laterally transferred genes: use of entropic clustering methods and genome position
Most parametric methods for detecting foreign genes in bacterial genomes use a scoring function that measures the atypicality of a gene with respect to the bulk of the genome. Genes whose features are sufficiently atypical—lying beyond a threshold value—are deemed foreign. Yet these methods fail when the range of features of donor genomes overlaps with that of the recipient genome, leading to misclassification of foreign and native genes; existing parametric methods choose threshold parameters to balance these error rates. To circumvent this problem, we have developed a two-pronged approach to minimize the misclassification of genes. First, beyond classifying genes as merely atypical, a gene clustering method based on Jensen–Shannon entropic divergence identifies classes of foreign genes that are also similar to each other. Second, genome position is used to reassign genes among classes whose composition features overlap. This process minimizes the misclassification of either native or foreign genes that are weakly atypical. The performance of this approach was assessed using artificial chimeric genomes and then applied to the well-characterized Escherichia coli K12 genome. Not only were foreign genes identified with a high degree of accuracy, but genes originating from the same donor organism were effectively grouped
Identification of Novel Genomic Islands in Liverpool Epidemic Strain of Pseudomonas aeruginosa Using Segmentation and Clustering
This article utilizes a recursive segmentation and cluster procedure presented as a genome-mining tool, GEMINI, to decipher genomic islands and understand their contributions to the evolution of virulence and antibiotic resistance in Pseudomonas aeruginosa
Nutritional value of some small indigenous fish species (SIS) of Bangladesh
Twenty three small indigenous fish species (SIS) in the size range of 3-18 cm were analyzed for proximate composition and minerals (Ca and P) content to evaluate their nutritive value. The moisture content of different species ranged between 71.00 and 81.94%. In general, small sized fishes showed higher moisture content. The muscle protein content among the species varied widely (16.16-22.28%). In general, the muscle protein content of fishes showed higher value than the whole carcass protein content. The carcass lipid content varied between 1.87 and 9.55% and showed an inverse relationship with the moisture content. The gross energy content ranged from 19.51-27.30 KJ/g on dry matter basis. In the present study, the calcium and phosphorus contents ranged between 0.85-3.20% and 1.01-3.29% respectively. The calcium and phosphorus ratio (Ca/P) varied between 0.44 and 2.00. From the nutritional point of view, it shows that the SIS are good source of protein and minerals especially calcium and phosphoru
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