590 research outputs found
In vitro propagation of Stevia rebaudiana Bert in Bangladesh
An experiment was conducted on in vitro culture of Stevia rebaudiana Bert, an important non-caloric sweetening herb to explore its potential for micro-propagation. Leaf, nodal and inter-nodal segments of the selected herb as explant were cultured on MS medium containing 2,4-D at 2, 3, 4 and 5 mg/L for callus induction. Inter-nodal segments initiated callus earlier than node and leaf. The highest amount of callus was found in MS medium with 3.0 mg/L 2,4-D and MS medium with 5.0 mg/L 2,4-D gave the poorest callu
UNDERSTANDING COVID-19 RELATED HEALTH LITERACY SKILLS AND COMPETENCIES AMONG THE WORKING LIS PROFESSIONALS IN DR. ZAKIR HUSAIN CENTRAL LIBRARY, JAMIA MILLIA ISLAMIA: A STUDY
Health literacy has become an integral component of human life, and it plays a significant role in ensuring safety from a variety of deadly diseases. India\u27s health literacy rate is below average when compared to other countries. Since the Covid-19 pandemic, doctors and volunteers from all over the world have been striving to promote health literacy to raise public awareness through various media. Given the foregoing, the main objective of this study is to identify the level of Covid-19 related health literacy among working LIS professionals at Jamia Millia Islamia\u27s Dr.Zakir Husain Central Library. The survey approach is being used in this study\u27s methodology. For ease of understanding, a well-structured questionnaire was created in both Hindi and English. A total of 54 questionnaires were distributed, with 40 completed questionnaires received. The key findings demonstrate that 100% of LIS professionals are aware of health literacy, and that the most common source of health information is family/friends 23(57.5%), followed by doctors 19 (47.5%). Electronic media (short clip videos provided by health organisations) is the most favoured medium for obtaining health-related information, i.e. 38. (95%). Furthermore, respondents are well-versed on COVID-19 transmission mechanisms; yet, respondents\u27 difficulties in obtaining health information are attributed to a lack of understanding of health literacy sources. Another significant finding from the study is that 100% of respondents believe that libraries can play an essential role in improving health literacy among academic community. The entire work is based on original research and serves as a resource for other scholars working in the same field
Shadow mapping algorithms: Applications and limitations
This study provides an overview of popular and famous algorithms and techniques in shadow maps generation.Well- known techniques in shadow maps generation is described detail, along with a discussion of the advantages and drawbacks of each. Basic ideas, improvements and future works of the techniques are also comprehensively summarized and analyzed in depth. Often, programmers have difficulty selecting an appropriate shadow generation algorithm that is specific to their purpose. We have classified and systemized these techniques. The main goal of this paper is to provide researchers with background on a variety of shadow mapping techniques so as make it easier for them to choose the method best suited to their aims. It is al-so hoped that our analysis will help researchers find solutions to the shortcomings of each technique. © 2015 NSP Natural Sciences Publishing Co
Detection and Processing Techniques of FECG Signal for Fetal Monitoring
Fetal electrocardiogram (FECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during labor. The ultimate reason for the interest in FECG signal analysis is in clinical diagnosis and biomedical applications. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies are becoming very important requirements in fetal monitoring. The purpose of this review paper is to illustrate the various methodologies and developed algorithms on FECG signal detection and analysis to provide efficient and effective ways of understanding the FECG signal and its nature for fetal monitoring. A comparative study has been carried out to show the performance and accuracy of various methods of FECG signal analysis for fetal monitoring. Finally, this paper further focused some of the hardware implementations using electrical signals for monitoring the fetal heart rate. This paper opens up a passage for researchers, physicians, and end users to advocate an excellent understanding of FECG signal and its analysis procedures for fetal heart rate monitoring system
Screening of Different Tomato Varieties in Saline Areas of Bangladesh
A field study was conducted to screen out a number of Bangladeshi Tomato (Lycopersicon esculentum L.) varieties for salinity tolerance. Three levels of salinity were 2.0-4.0 dS m-1, 4.1-8.0 dS m-1 and 8.1-12.0 dS m-1. Significant varietal and or salinity treatment effects were registered on plant height, leaf area, plant growth, yield, dry matter plant-1, Na+ and Claccumulation in tomato tissues. Variety BARI Tomato 14, BARI Hybrid Tomato 5 and BARI Tomato 2 consistently showed superior biological activity at moderate salinity (4.1-8.0 dS m-1), based on dry matter biomass production thus displaying relatively greater adaptation to salinity. Under saline condition, all plant parameters of tomato varieties were reduced compared to the control except number of fruits of BARI Tomato 14, BARI Hybrid Tomato 5 and BARI Tomato 2. Thus, BARI Tomato 14, BARI Hybrid Tomato 5 and BARI Tomato 2 can be regarded as a breeding material for development of new tomato varieties for tolerance to salinity in saline areas of Bangladesh. DOI: http://dx.doi.org/10.3329/ijarit.v2i1.13989 Int. J. Agril. Res. Innov. & Tech. 2 (1): 13-18, June, 201
The use of medicinal plants in health care practices by Rohingya refugees in a degraded forest and conservation area of Bangladesh
People in developing countries traditionally rely on plants for their primary healthcare. This dependence is relatively higher in forests in remote areas due to the lack of access to modern health facilities and easy availability of the plant products.We carried out an ethno-medicinal survey in Teknaf Game Reserve (TGR), a heavily degraded forest and conservation area in southern Bangladesh, to explore the diversity of plants used by Rohingya refugees for treating various ailments. The study also documented the traditional utilization, collection and perceptions of medicinal plants by the Rohingyas residing on the edges of this conservation area. We collected primary information through direct observation and by interviewing older respondents using a semi-structured questionnaire. A total of 34 plant species in 28 families were frequently used by the Rohingyas to treat 45 ailments, ranging from simple headaches to highly complex eye and heart diseases. For medicinal preparations and treating various ailments, aboveground plant parts were used more than belowground parts. The collection of medicinal plants was mostly from the TGR. © 2009 Taylor & Francis
Survey of Hypertension in Dhaka, Bangladesh: Changing Prescribing Patterns
Purpose: To assess changes in the prescribing pattern of antihypertensive drugs and lifestyle factors associated with hypertensive patients in Dhaka, Bangladesh.Methods: A cross-sectional study was conducted among 50 hypertensive patients in various heart disease hospitals and the consulting rooms of 10 cardiologists in the city of Dhaka to determine changes in prescribing patterns of antihypertensive drugs. Respondents were distributed more or less equally between males and the females.Results: Female patients aged 30 to 40 years (8 %) as well as male patients aged 50 to 60 years (54 %) and 60 to 70 years (12 %) were prone to hypertension. However, patients of both sexes whose age ranged from 40 to 50 (40 %) and 50 to 60 (36 %) were more prone to hypertension. It was observed that 46 % of the patients were overweight. A majority of the patients had diabetes with hypertension (28 %). Moreover, most of the patients (80 %) did not indulge in any physical exercise and were non-smokers but had a family history of hypertension. Combined antihypertensive drugs, especially thiazide diuretics with angiotensin II receptor blockers, calcium antagonists, and angiotensin-converting enzyme (ACE) inhibitors were the first choice of drugs by physicians. The prescribing rate of β-blockers (28.36 %) and combined antihypertensive preparations (40 %) was higher than that of older antihypertensives, viz loop diuretics, propranolol and enalapril.Conclusion: Combination therapy is favored by all doctors who compared with the past prescribing practice of a single medication for hypertension.Keywords: Hypertension, Prescribing pattern, Antihypertensive drugs, Lifestyle factors, Family histor
Interactive effects of phosphorus and potassium on biomass production and accumulation of nitrogen in field grown mungbean (Vigna radiata L.)
A field experiment was carried out in the paddy field of Charfession Govt. College, Bhola, Bangladesh during rabi season 2017 to evaluate growth, biomass production and nitrogen accumulation in mungbean plants. The size of the plot was 60 cm x 45 cm. The distance between row to row and plant to plant was 30 cm and 10 cm, respectively. Eight plants were raised per plot. Seven treatments were P0K0 (Control), P5K6, P5K12, P5K18, P10K6, P10K12 and P10K18 kg ha-1. Forty day old plants were harvestedas root, stem and leaf. The highest plant height (17.2 cm) and number of leaves (14.3 no. plant-1) were recorded in P5K12 kg ha-1 treatment at harvest. The maximum concentration of nitrogen in root, stem and leaf were 1.59, 2.51 and 3.82% in the treatments of P5K12, P5K12 and P5K18 kg ha-1, respectively. The highest amount of dry matter yield 1.88 g plant-1 was observed in P5K12 kg ha-1 treatment. The overall better dose was P5K12 kg ha-1. Thus, a considerable amount of nitrogen and organic matter might be added to paddy fields through the cultivation of mungbean in the coastal region of Bangladesh.
Int. J. Agril. Res. Innov. & Tech. 9 (1): 14-17, June, 201
Efficient Bayesian-based Multi-View Deconvolution
Light sheet fluorescence microscopy is able to image large specimen with high
resolution by imaging the sam- ples from multiple angles. Multi-view
deconvolution can significantly improve the resolution and contrast of the
images, but its application has been limited due to the large size of the
datasets. Here we present a Bayesian- based derivation of multi-view
deconvolution that drastically improves the convergence time and provide a fast
implementation utilizing graphics hardware.Comment: 48 pages, 20 figures, 1 table, under review at Nature Method
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An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla
Mental health has become a major concern in recent years. Social media have been increasingly used as platforms to gain insight into a person’s mental health condition by analysing the posts and comments, which are textual in nature. By analysing these texts, depressive posts can be detected. To facilitate this process, this work presents an attention-based bidirectional Long Short-Term Memory (LSTM)- Convolutional Neural Network (CNN) based model to detect depressive Bangla social media texts, which is lighter and more robust than the conventional models and provides better performance. A dataset containing such Bangla texts was also developed in this work to mitigate the scarcity. Different preprocessing stages were followed, and three embeddings were used in this task. Thanks to the attention mechanism, the proposed model achieved an accuracy of 94.3% with 92.63% of sensitivity and 95.12% of specificity. When tested on other languages, such as English, the proposed model performed remarkably. The robustness and explainability of the proposed model were also discussed in this paper. Additionally, when compared with classical machine learning models, ensemble approaches, transformers, other similar models, and existing architectures, the proposed model outperformed them
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