Ecosystem Services Assessment of Mangrove Forest in a Coastal Island of Bangladesh

Abdullah-Al-Mamun, M. M.; Shimu, Shakhera Akter; Sarker, A. H. M. Raihan; Masum, Kazi Mohammad

doi:10.18488/journal.101.2021.81.88.98

Cited by 4 publications

(2 citation statements)

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“…Preparation of stock solution [28] Stock Validation for the developed method [30][31] The aim of method validation was to confirm that the present method was suitable for its intended purpose as prescribed in ICH guidelines. The method was validated in order to determine the system suitability, linearity, precision, accuracy, repeatability, ruggedness, LOD and LOQ of the method.…”

Section: Detection Of Wavelength (λMax) [25-27]mentioning

confidence: 99%

Analytical Method Development and Validation for the Determination of Levetiracetam in Bulk and Pharmaceutical Formulation by Rp-HPLC

2024

IJBPAS

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This study describes the development and validation for levetiracetam tablets using a reverse phase high performance liquid chromatography method. A simple, reproducible and efficient reversed phase high performance liquid chromatographic (RP-HPLC) method has been developed for estimation of anti-epileptic drug, levetiracetam in raw material and its tablet dosage form. Separation was done by using mobile phase consisting of HPLC grade methanol.The separations were carried out on a Flexit C18 column (150 x 4.6 mm; 5µm) at a flow rate of 1 mL/min. The injection volume was 20 µl and the peaks were detected at 265 nm. The linear dynamic response was found to be in the concentration range of 5µg-25µg/mL and coefficient of correlation was found to be 0.999. The %RSD value was below 2.0 for intraday and interday precision indicated that the method was highly precise. The LOD and LOQ were found to be 4.23 and 12.65 ng/mL respectively which revealed that the method was highly sensitive. The percentage recovery value was higher than 100%, indicating the accuracy of the method and absence of interference of the excipients present in the formulation. The proposed method was simple, fast, accurate, precise and reproducible and hence can be applied for routine quality control analysis of levetiracetam in bulk and pharmaceutical formulation.

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Section: Detection Of Wavelength (λMax) [25-27]mentioning

confidence: 99%

Analytical Method Development and Validation for the Determination of Levetiracetam in Bulk and Pharmaceutical Formulation by Rp-HPLC

2024

IJBPAS

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“…Forest is one of the natural resources and becomes a life buffer whose existence is irreplaceable because it can provide benefits in the form of goods and or services ecologically, economically and socially on an ongoing basis without causing negative impacts [1]. For this reason, a reliable and professional management system and institutions / institutions for forest management at the site level are needed so that forest resources can provide benefits according to their function, particularly through the forest management unit.…”

Section: Introductionmentioning

confidence: 99%

Image Segmentation Using Haar Wavelet Transform and Artificial Network for Identification of Ant Nest Pattern

Nugraha

2022

JoSYC

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Ant nest is a powerful medicinal plant to treat various diseases such as heart disease, tumors, cancer, hemorrhoids, tuberculosis, rheumatism, ulcers and prostate disorders. The many benefits generated cause the ant nest to have a selling value in the community, so it is not uncommon to trigger ant nest forgery. This study aims to identify the image of an ant nest by testing the accuracy of the backpropagation network and haar wavelet. Before the identification process with the backpropagation method is carried out, first the process of taking the characteristics of the ant nest is carried out which will later be used as test data input in the identification process. The output of the network will be compared with the target to get the error output. Then these errors are propagated again to increase the network weight to minimize errors. This research resulted in an ant nest identification application. The backpropagation ANN architecture for the training data used is 0.95 momentum, 0.01 target error with MSE criteria, the maximum number of training iterations (epochs) is set at 5000, the learning rate is 0.1 and the number of hidden layers is 20 by using wavelet haar feature extraction level 3 and the backpropagation momentum method can be used. used to identify ant nest images with 100% accuracy.

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High carbon storage and oxygen (O2) release potential of Mahagony (Swietenia macrophylla) woodlot plantation in Bangladesh

Pitol¹,

Mian²

2023

Saudi Journal of Biological Sciences

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Ecosystem Services Assessment of Mangrove Forest in a Coastal Island of Bangladesh

Cited by 4 publications

References 0 publications

Analytical Method Development and Validation for the Determination of Levetiracetam in Bulk and Pharmaceutical Formulation by Rp-HPLC

Analytical Method Development and Validation for the Determination of Levetiracetam in Bulk and Pharmaceutical Formulation by Rp-HPLC

Image Segmentation Using Haar Wavelet Transform and Artificial Network for Identification of Ant Nest Pattern

High carbon storage and oxygen (O2) release potential of Mahagony (Swietenia macrophylla) woodlot plantation in Bangladesh

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