50 research outputs found

    Interactive effects of phosphorus and potassium on biomass production and accumulation of nitrogen in field grown mungbean (Vigna radiata L.)

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    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

    Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

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    The prevalence and mobility of smartphones make these a widely used tool for environmental health research. However, their potential for determining aggregated air quality index (AQI) based on PM2.5 concentration in specific locations remains largely unexplored in the existing literature. In this paper, we thoroughly examine the challenges associated with predicting location-specific PM2.5 concentration using images taken with smartphone cameras. The focus of our study is on Dhaka, the capital of Bangladesh, due to its significant air pollution levels and the large population exposed to it. Our research involves the development of a Deep Convolutional Neural Network (DCNN), which we train using over a thousand outdoor images taken and annotated. These photos are captured at various locations in Dhaka, and their labels are based on PM2.5 concentration data obtained from the local US consulate, calculated using the NowCast algorithm. Through supervised learning, our model establishes a correlation index during training, enhancing its ability to function as a Picture-based Predictor of PM2.5 Concentration (PPPC). This enables the algorithm to calculate an equivalent daily averaged AQI index from a smartphone image. Unlike, popular overly parameterized models, our model shows resource efficiency since it uses fewer parameters. Furthermore, test results indicate that our model outperforms popular models like ViT and INN, as well as popular CNN-based models such as VGG19, ResNet50, and MobileNetV2, in predicting location-specific PM2.5 concentration. Our dataset is the first publicly available collection that includes atmospheric images and corresponding PM2.5 measurements from Dhaka. Our code and dataset will be made public when publishing the paper.Comment: 18 pages, 7 figures, submitted to Nature Scientific Report

    A review of the genome, epidemiology, clinical features, prevention, and treatment scenario of COVID-19: Bangladesh aspects

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    Abstract Background The ongoing acute respiratory disease pandemic termed COVID-19 caused by a newly emerged coronavirus has jeopardized the world’s health and economic sectors. As of 20 July 2020, the virus now known as SARS-CoV-2 has already infected more than 14 million individuals and killed 612,815 patients with a mortality rate of 4.12% around the world regardless of age, gender, and race. Main body Bangladesh has become one of its worst sufferers, with 207,453 infected people and 2668 related deaths with a mortality rate of 1.29% until 20 July 2020. More than 50% of COVID-19 patients in Bangladesh are aged between 21 and 40, but elderly people aged more than 60 have the highest mortality rate (44.7%). Male individuals are also more susceptible to the virus than females and consist of 71% and 79% among the infected and deceased patients, respectively. The most prevalent clinical features following the virus incubation period are fever, fatigue, and dry cough. A phylogenetic analysis study elucidated that the virus strain found in the country has 9 single-nucleotide variants, mostly in the ORF1ab gene, and a sequence containing 3 successive variants in the N protein, which reflects a weaker strain of SARS-CoV-2, implicating a possibility of its lower mortality rate. Another investigation of 184 genome samples of SARS-CoV-2 across the country implicated a close homology with a European haplotype of SARS-CoV-2. The country has also joined the race of vaccine development and started phase III clinical trials of a candidate vaccine developed by Sinovac Research and Development Co Ltd, China. Conclusion Bangladesh, as a developing country, still struggles with the pandemic and needs to scale up its response operation and improve healthcare facilities such as testing capacity, institutional quarantine, and isolation centers and promote awareness. Preventive measures such as strict lockdown, social distancing, and boosting the existing immune system are thus considered the only contrivances. </jats:sec

    Loss of FAM111B protease mutated in hereditary fibrosing poikiloderma negatively regulates telomere length

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    Hereditary fibrosing poikiloderma (HFP) is a rare human dominant negative disorder caused by mutations in the FAM111B gene that encodes a nuclear trypsin-like serine protease. HFP patients present with symptoms including skin abnormalities, tendon contractures, myopathy and lung fibrosis. We characterized the cellular roles of human FAM111B using U2OS and MCF7 cell lines and report here that the protease interacts with components of the nuclear pore complex. Loss of FAM111B expression resulted in abnormal nuclear shape and reduced telomeric DNA content suggesting that FAM111B protease is required for normal telomere length; we show that this function is independent of telomerase or recombination driven telomere extension. Even though FAM111B-deficient cells were proficient in DNA repair, they showed hallmarks of genomic instability such as increased levels of micronuclei and ultra-fine DNA bridges. When mutated as in HFP, FAM111B was more frequently localized to the nuclear envelope, suggesting that accumulation of the mutated protease at the nuclear periphery may drive the disease pathology

    Exploring the anticancer and antibacterial potential of naphthoquinone derivatives: a comprehensive computational investigation

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    This study investigates the potential of 2-(4-butylbenzyl)-3-hydroxynaphthalene-1,4-dione (11) and its 12 derivatives as anticancer and biofilm formation inhibitors for methicillin-resistant staphylococcus aureus using in silico methods. The study employed various computational methods, including molecular dynamics simulation molecular docking, density functional theory, and global chemical descriptors, to evaluate the interactions between the compounds and the target proteins. The docking results revealed that compounds 9, 11, 13, and ofloxacin exhibited binding affinities of −7.6, −7.9, −7.5, and −7.8 kcal mol−1, respectively, against peptide methionine sulfoxide reductase msrA/msrB (PDB: 3E0M). Ligand (11) showed better inhibition for methicillin-resistant staphylococcus aureus msrA/msrB enzyme. The complex of the 3E0M-ligand 11 remained highly stable across all tested temperatures (300, 305, 310, and 320 K). Principal Component Analysis (PCA) was employed to evaluate the behavior of the complex at various temperatures (300, 305, 310, and 320 K), demonstrating a total variance of 85%. Convergence was confirmed by the eigenvector’s cosine content value of 0.43, consistently displaying low RMSD values, with the minimum observed at 310 K. Furthermore, ligand 11 emerges as the most promising candidate among the compounds examined, showcasing notable potential when considering a combination of in vitro, in vivo, and now in silico data. While the naphthoquinone derivative (11) remains the primary candidate based on comprehensive in silico studies, further analysis using Frontier molecular orbital (FMO) suggests while the Egap value of compound 11 (2.980 eV) and compound 13 (2.975 eV) is lower than ofloxacin (4.369 eV), indicating their potential, so it can be a statement that compound 13 can also be investigated in further research

    Biomarkers for diagnosis of neonatal infections: A systematic analysis of their potential as a point-of-care diagnostics

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    Neonatal infections annually claim lives of 1.4 million neonates worldwide. Until now, there is no ideal diagnostic test for detecting sepsis and thus management of possible sepsis cases often depends on clinical algorithm leading to empirical treatment. This often results in unnecessary antibiotic use, which may lead to emergence of antibiotic resistance. Biomarkers have shown great promise in diagnosis of sepsis and guiding appropriate treatment of neonates. In this study, we conducted a literature review of existing biomarkers to analyze their status for use as a point-of-care diagnostic in developing countries

    Development of Biodegradable Packaging Materials from Bio-Based Raw Materials

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    Seaweed, creatures and cellulose based packaging materials are biodegradable and promising natural polymer and their films can be prepared from bio-based raw materials. This article reviews the basic information and recent developments of both seaweed, creatures, cellulose and plant based biopolymer materials as well as analyses the feasible formation of seaweed/creatures/cellulose/plant based biodegradable packaging films which possesses excellent mechanical strength and water resistance properties. Moreover, bio-based packaging films can prolong a product’s shelf life while maintaining its biodegradability. Additionally, the films show potential in contributing to the bio-economy. These type of bio-based materials exhibit interesting film-forming properties that can be used in biomedical application and for making composites for packaging. Bio-based films can be used for the large-scale applications in food packaging in place of synthetic petroleum based non-degradable packaging. Bio-based films have the potential to be used in textile and decoration paper industries also. Currently, bio packaging gains huge attention to the scientist and general people because this type packaging materials are environmental friendly products. Some of the viewpoints are highlighted for future developments and applications

    Prevalence of childhood anemia: Potential sociodemographic and dietary factors in Nigeria.

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    BackgroundChildhood anemia is a global public health issue. In this study, we assessed the potential sociodemographic and dietary factors associated with the prevalence of anemia among children aged 6-59 months in Nigeria.MethodsIn this cross-sectional study, we collected dietary information and demographic data on 6,338 children with anemia from the Nigerian Demographic and Health Surveys (2018). The association between the occurrence of anemia and the demographic and dietary factors was determined by conducting Chi-squared tests. Additionally, bivariate and multivariate order logit models were constructed and reported as odds ratios.ResultsThe results of the multivariate analysis showed that the risk of anemia was reduced by 13% and 44% in children aged 13-36 months (OR = 0.87; 95% CI = 0.77-0.98; p = 0.019) and 37-59 months (OR = 0.56; 95% CI = 0.49-0.63; p ConclusionThis study highlighted the impact of a plant-based diet on the high prevalence of childhood anemia in Nigeria. Therefore, reformation of dietary habits, the inclusion of nutritional supplements, and food-fortification programs with reductions in maternal anemia are recommended
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