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Browsing by Author "Rahman, Md. Ashekur"

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    Bioavailability and Toxicity of Heavy Metals and Microplastics in Shellfish (Meretrix Lyrata) a Preliminary Study in the Bay of Bengal
    (Elsevier, 2024-08-15) Hossain, Md. Yeamin; Uddin, Minhaz; Kormoker, Tapos; Rahman, Md. Ashekur; Haque, Md. Kamrul; Rahman, Md. Naimur; Tasmin, Rumana; Samad, Md. Abdus; Siddique, Md. Abu Bakar; Rahman, M. Safiur
    Microplastics (MPs) and heavy metals (HMs) pollution pose significant environmental threats by accumulating in marine species, leading to potential health risks for marine life and humans consuming contaminated seafood. However, limited research has been conducted on the bioavailability and toxicity of MPs and HMs in the marine biota of the Bay of Bengal, Bangladesh. In this study, the bioavailability of some HMs (i.e., Ni, Pb, Cd, and Cr) and MPs in a common marine shellfish (Meretrix lyrata) of the Bay of Bengal having nutritional and economic importance, and their human health risks due to the consumption of M. lyrata mussels has been evaluated. The mean concentrations of Ni, Pb, Cd, and Cr in the samples were determined spectrophotometrically and found as 5.54, 45.65, 0.51, and 33.51 mg/kg, respectively, which are higher than the maximum permissible limit set by different national and international entities. This study revealed that the hazard index values for all samples were greater than unity, which indicated that the cumulative effect of all selected heavy metals may pose substantial health hazards. The target cancer risk for Pb and Ni was also significant (i.e., TR > 1.0E-04). On the other hand, MPs (mainly polyvinyl chloride and polyethylene) of different colors (7-8) and shapes (6.53-330 μm) were detected in 50% of the total studied samples, which is alarming and will result in a potential health risk due to the consumption of the mussels. Therefore, the consumer should be careful to eat this selected mussel (M. lyrata) in their regular meal and the concerned authority should take proper steps to protect this natural species from heavy metal and MPs contamination.
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    Bioavailability and toxicity of heavy metals and microplastics in shellfish (Meretrix lyrata): A preliminary study in the Bay of Bengal
    (Scopus, 2024-12) Hossain, Md. Yeamin; Uddin, Minhaz; Kormok, Tapos; Rahman, Md. Ashekur; Haque, Md. Kamrul; Rahman, Md. Naimur; Tasmin, Rumana; Samad, Md. Abdus; Siddique, Md. Abu Bakar; Rahman, M. Safiur
    Microplastics (MPs) and heavy metals (HMs) pollution pose significant environmental threats by accumulating in marine species, leading to potential health risks for marine life and humans consuming contaminated seafood. However, limited research has been conducted on the bioavailability and toxicity of MPs and HMs in the marine biota of the Bay of Bengal, Bangladesh. In this study, the bioavailability of some HMs (i.e., Ni, Pb, Cd, and Cr) and MPs in a common marine shellfish (Meretrix lyrata) of the Bay of Bengal having nutritional and economic importance, and their human health risks due to the consumption of M. lyrata mussels has been evaluated. The mean concentrations of Ni, Pb, Cd, and Cr in the samples were determined spectrophotometrically and found as 5.54, 45.65, 0.51, and 33.51 mg/kg, respectively, which are higher than the maximum permissible limit set by different national and international entities. This study revealed that the hazard index values for all samples were greater than unity, which indicated that the cumulative effect of all selected heavy metals may pose substantial health hazards. The target cancer risk for Pb and Ni was also significant (i.e., TR > 1.0E-04). On the other hand, MPs (mainly polyvinyl chloride and polyethylene) of different colors (7−8) and shapes (6.53–330 μm) were detected in 50 % of the total studied samples, which is alarming and will result in a potential health risk due to the consumption of the mussels. Therefore, the consumer should be careful to eat this selected mussel (M. lyrata) in their regular meal and the concerned authority should take proper steps to protect this natural species from heavy metal and MPs contamination.
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    Transfer Learning-Based Approach for Citrus Disease Detection
    (Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT) The Organization of Islamic Cooperation (OIC) Board Bazar, Gazipur-1704, Bangladesh, 2022-05-30) Rahman, Md. Ashekur; Amin, Samadul; Alvi, Md. Mahbub-Ul- Huq
    Fruit diseases have a devastating impact on the food economy, wreaking havoc on the global food business. Therefore, in agriculture and food security, disease detection and diagnosis systems must be efficient and dependable. Technology supported by computers can be used to detect illnesses. Convolutional neural network (CNN) approaches have recently demonstrated impressive performance in image categorization applications. CNN can operate relatively efficiently with high-volume datasets and extracts more circumstantial features. This paper offers a strategy that employs deep convolutional neural networks with transfer learning to identify and categorize citrus crop diseases. Useful features were identified from fine-tuned, pre-trained deep learning models that were retrained using an image dataset of citrus fruits with infections. On a large dataset (ImageNet), the InceptionResNetV2, DenseNet169, MobileNet, NasNetLarge, NASNetMobile, and VGG19 models have been pre-trained to increase prediction accuracy. The VGG19 model has a classification accuracy of 97.54 percent, which is superior to current methods.

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