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Tracking of microplastics distribution patterns and their characterisation in deposited road dust from Dhaka city,Bangladesh

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Emerging Contaminants 2024年第3期10卷 386-399页

作者： Mohammad Toha r-rafiul rahman Sadia Sikder md.Ahedul Akbor md.mostafizur.r.hman Department of Environmental Science Bangladesh University of ProfessionalsMirpurCantonmentDhaka1216Bangladesh Department of Environmental Sciences Jahangirnagar UniversitySavarDhaka1342Bangladesh Laboratory of Environmental Health and Ecotoxicology Department of Environmental SciencesJahangirnagar UniversitySavarDhaka1342Bangladesh Institute of National Analytical research and Service(INArS) Bangladesh Council of Scientific and Industrial Research(BCSIR)DhanmondiDhaka1205Bangladesh

The widespread presence of microplastics(MPs)in road dust has considerable concern regarding their potential risks to ecosystems and human *** the massive production of plastic,the erudition of MPs distribution patterns in various sizes of deposited road dust is still limited around the ***,the aim of this research is to provide an unambiguous picture of MPs distributional pattern,identification,classification,quantification,and features from road dust in various zones and types of roadways in Dhaka,*** study examined MPs in road dust samples with particle sizes ranging from 300 to 150 mm(Group-A),149-75 mm(Group-B),androup-C).This work extracted MPs from road dust using 30%H_(2)O_(2),1.6 g/cm^(3)ZnCl_(2),and 0.45 mm filter paper.A fluorescent microscope(Motic B410E,Germany),Motic Pictures,and 3.0 ML software were utilized to identify MPs ***,FTIr and SEM were utilized to determine the chemical composition of ***-A road dust samples had a significantly higher concentration of MPs(38945 items/kg)compared to Group-B androup-C dust(16720 and 5945 items/kg,respectively).The distribution hierarchy for total MPs on average by location and type of road is as follows:paved road(355 items/5 g)>unpaved road(325 items/5 g)>soil samples(294 items/5 g),roadside dust samples(284 items/5 g),and mid-road(283 items/5 g).By taking into account all sizes of road dust samples,the MPs were classified as fiber(70.26%),fragment(26.12%),beads(0.66%),films(1.32%),and foams(1.58%).It was found that adults inhaled MPs an average of 1612 items/day,while they ingested an average of 880 items/*** had an inhalation rate of 1232 items/day and an ingestion rate of 10267 items/day,which was 4e17 times greater than in other *** study identified 22 MPs polymer types,and SEM results show that MPs surfaces are being weathered into nanoplastics,creating a more hazardous environment.

关键词： Microplastics road dust SEM FTIr Health impact Distribution pattern

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Insights into Manipulation: Unveiling Tampered Images Using Modified ELA, Deep Learning, and Explainable AI

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Journal of Computer and Communications 2024年第6期12卷 135-151页

作者： md. Mehedi Hasan md. Masud rana Abu Sayed md. mostafizur rahaman Department of Information and Communication Technology Bangladesh University of Professionals Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

Digital image forgery (DIF) is a prevalent issue in the modern age, where malicious actors manipulate images for various purposes, including deception and misinformation. Detecting such forgeries is a critical task for maintaining the integrity of digital content. This thesis explores the use of Modified Error Level Analysis (ELA) in combination with a Convolutional Neural Network (CNN), as well as, Feedforward Neural Network (FNN) model to detect digital image forgeries. Additionally, incorporation of Explainable Artificial Intelligence (XAI) to this research provided insights into the process of decision-making by the models. The study trains and tests the models on the CASIA2 dataset, emphasizing both authentic and forged images. The CNN model is trained and evaluated, and Explainable AI (SHapley Additive exPlanation— SHAP) is incorporated to explain the model’s predictions. Similarly, the FNN model is trained and evaluated, and XAI (SHAP) is incorporated to explain the model’s predictions. The results obtained from the analysis reveals that the proposed approach using CNN model is most effective in detecting image forgeries and provides valuable explanations for decision interpretability.

关键词： IFD DIF ELA CNN FNN XAI SHAP CASIA2.0

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Exploring the role of Serum Cystatin C in Early Detection of Acute Kidney Injury among On-Pump Cardiac Surgery Patients: A Single-Center Investigation in Bangladesh

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World Journal of Cardiovascular Diseases 2024年第6期14卷 363-373页

作者： md. Ahaduzzaman md. Abir Tazim Chowdhury Munama Magdum md. Saiful Islam Khan Satyajit Sharma Monoj Tiwari md. Abul Bashar Maruf md. Alauddin Omar Sadeque Khan md. mostafizur.r.hman Mirza md. Nazmus Saquib Department of Cardiothoracic and Vascular Surgery Evercare Hospital Dhaka Dhaka Bangladesh Department of Preventive and Social Medicine National Institute of Preventive and Social Medicine Dhaka Bangladesh Department of Cardiothoracic Anesthesia Evercare Hospital Dhaka Dhaka Bangladesh Department of Cardiac Surgery National Heart Foundation Hospital & Research Institute Dhaka Bangladesh Department of Cardiovascular and Thoracic Surgery B.P. Koirala Memorial Cancer Hospital Bharatpur Chitwan Nepal Department of Cardiac Surgery United Hospital Limited Dhaka Bangladesh Department of Cardiac Surgery Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh Department of Cardiac Surgery Ibrahim Cardiac Hospital & Research Institute Dhaka Bangladesh

Background: Acute Kidney Injury (AKI) stands as a prominent postoperative complication in on-pump cardiac surgery, with repercussions on morbidity, mortality, and hospitalization duration. Current diagnostic criteria relying on serum creatinine levels exhibit a delayed identification of AKI, prompting an exploration of alternative biomarkers. Aims and Objectives: This study is designed to overcome diagnostic constraints and explore the viability of serum Cystatin C as an early predictor of Acute Kidney Injury (AKI) in individuals undergoing on-pump cardiac surgery. The investigation aims to establish the relationship between serum Cystatin C levels and the onset of AKI in patients subjected to on-pump cardiac surgery. Primary objectives involve the assessment of the diagnostic effectiveness of serum Cystatin C, its comparison with serum creatinine, and the exploration of its potential for the early identification and treatment of AKI. Methodology: Conducted as a single-center study at the cardiac surgery department of BSMMU in Bangladesh from September 2020 to August 2022, a comparative cross-sectional analysis involved 31 participants categorized into No AKI and AKI groups based on Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Data collection encompassed preoperative, post-CBP (cardiopulmonary bypass) conclusion at 2 hours, postoperative day 1, and postoperative day 2 intervals. Statistical analyses included Chi-squared tests, independent Student’s t-tests, and one-sample t-tests. Significance was set at P results: The study revealed no significant differences in baseline characteristics between the No AKI and AKI groups, except for CPB time and cross-clamp time. Serum Cystatin C levels in the AKI group exhibited statistical significance at various time points, highlighting its potential as an early detector. Conversely, Serum Creatinine levels in the AKI group showed no statistical significance. The receiver Operating Characteristic (rOC) curve analy

关键词： Acute Kidney Injury (AKI) On-Pump Cardiac Surgery Serum Cystatin C Serum Creatinine Diagnostic Biomarkers Early Detection Cardiopulmonary Bypass Single-Center Study Bangladesh

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Structural Style and Hydrocarbon Prospectivity of the Growth Faults related Structures in the Bengal Basin

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Journal of Geoscience and Environment Protection 2024年第8期12卷 197-218页

作者： md. Fazle rabbi Joy md. mostafizur.r.hman S. M. Mainul Kabir Tamanna Binte Arfan Farhad Hsossain Department of Geology University of Dhaka Dhaka Bangladesh

The structural and tectonic evolution of the Bengal Basin is characterized by a complex interplay of factors, including sedimentation, the rise of the Himalayan Mountains, and the movements of Jurassic syn-rift faults. This study aims to comprehend the progression of growth faults inside the basin by examining fault geometry, basin development, and structural relief patterns. We used high-quality 2D seismic lines from the PK-MY-8403, classical seismic interpretation techniques and modeling were carried out to reveal the plate tectonic conditions, stratigraphy, and sedimentation history of the basin. The break-up unconformity, Paleocene and Eocene submerged conditions, and crucial geological formations including the Sylhet Limestone, Barail Group, and Surma Group were among the notable features recognized in seismic section. With an emphasis on growth strata and pre-growth strata, significant variations in layer thickness and relief were remarked in different stratigraphic levels. Basin development events like the evolution of the Miocene remnant ocean basin, sedimentation in Oligocene, Eocene Himalayan collision, and the Pliocene reverse fault development are analyzed. In the early the Pliocene compressional forces outpaced sedimentation rates and syn-depositional normal faults of Oligocene time began to move in opposite direction. Syn-depositional growth faults may have formed in the Bengal Basin as a result of this reversal. This research provides a detailed comprehensive knowledge of growth fault development in the Bengal Basin following the seismic interpretation, modelling, and thickness/relief analysis. The outcomes point to a substantial hydrocarbon potential, especially in regions like the Eocene Hinge Zone, where the prospectivity of the area is enhanced by carbonate reefs and Jalangi shale. However, the existence of petroleum four-way closure in the investigated region requires further investigation.

关键词： Plate Tectonic Subsidence History Structural relief Syn-Depositional Model Growth Fault Petroleum System

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3DGE-UNet磁共振成像的脑胶质瘤全自动分割算法:对不充分全局特征提取的改进

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四川大学学报（医学版） 2024年第2期55卷 447-454页

作者：田恒屹王瑜计亚荣 rahman md.1} 北京工商大学人工智能学院北京100048

目的脑胶质瘤及其子区域的全自动分割是计算机辅助肿瘤临床诊断的基础,卷积神经网络在脑部磁共振成像(magnetic resonance imaging, MrI)分割过程中,小卷积核只能提取局部特征而无法有效融合全局特征,缩小了对影像信息的感知范围,从而... 详细信息

目的脑胶质瘤及其子区域的全自动分割是计算机辅助肿瘤临床诊断的基础,卷积神经网络在脑部磁共振成像(magnetic resonance imaging, MrI)分割过程中,小卷积核只能提取局部特征而无法有效融合全局特征,缩小了对影像信息的感知范围,从而导致分割精度不足的问题。本研究旨在利用膨胀卷积,针对三维(three-dimensional, 3D)-UNet不能充分提取全局特征的问题进行改进。方法 (1)算法构建:本文提出一种带有三条全局上下文特征提取通路的3D-UNet模型,即3DGE-UNet模型。使用脑部肿瘤分割挑战赛(Brain Tumor Segmentation Challenge, BraTS)2019提供的公开数据集(335例患者),设计一种全局上下文特征提取(more global contextual feature extraction, GE)模块,并将该模块引入到3DUNet网络的第一、二、三条跳跃连接处,利用该模块充分提取图像的不同尺度全局特征,并与上采样得到的特征图叠加,扩大模型感受野,实现不同尺度特征的深层融合,从而完成端到端的脑肿瘤全自动分割。(2)算法验证:图像数据来源于BraTs2019数据集(335例患者术前MrI图像,包括T1、T1ce、T2和FLAIr四种模态图像和一张医生标注的肿瘤标签图像),将数据集分别按照8∶1∶1划分为训练集、验证集和测试集。以医生标注的肿瘤标签图像为金标准,使用Dice系数(综合评价有效性)、敏感度(病灶区域的查全率)和95%Hausdorff距离(肿瘤边界的分割精度)在测试集中评估算法对完整肿瘤区域(whole tumor, WT)、核心肿瘤区域(tumor core, TC)和增强肿瘤区域(enhancing tumor, ET)三种区域的分割性能,分别使用无GE模块的3D-UNet模型和有GE模块的3DGE-UNet模型进行检测,内部验证GE模块设置的有效性。使用3DGEUNet模型、resUNet、UNet++、nnUNet、UNETr检测上述性能指标,并比较5种算法模型的收敛性,外部验证3DGEUNet模型的有效性。结果 (1)在内部验证中,改进的3DGE-UNet模型在测试集中分割WT、TC和ET区域的Dice均值分别为91.47%、87.14%和83.35%,与传统的3D-UNet模型相比(89.79%、85.13%和80.90%),综合评价达到了最优值,对于三个区域的分割精度都有提升(Prff距离均值优于3DUNet模型(8.17 mm vs. 13.61 mm,Prff距离(5.37 mm)优于3DGE-UNet模型,但差异无统计学意义。3DGE-UNet模型可以在训练阶段快速收敛,速度优于其他外部模型。结论 3DGE-UNet模型可以有效地提取和融合不同尺度的特征信息,提高脑肿瘤分割的准确性。

关键词：脑胶质瘤核磁共振成像图像处理计算机辅助人工智能

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Effect of Distributional Assumption on GArCH Model into Shenzhen Stock Market： a Forecasting Evaluation

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Chinese Business review 2006年第3期5卷 40-49页

作者： md. mostafizur.r.hman Jianping Zhu Xiamen University

This paper examines the forecasting performance of different kinds of GArCH model （GrACH, EGArCH, TArCH and APArCH） under the Normal, Student-t and Generalized error distributional assumption. We compare the effect of different distributional assumption on the GArCH models. The data we analyze are the daily stocks indexes for Shenzhen Stock Exchange （SSE） in China from April 3^rd, 1991 to April 14^th, 2005. We find that improvements of the overall estimation are achieved when asymmetric GArCH models are used with student-t distribution and generalized error distribution. Moreover, it is found that TArCH and GArCH models give better forecasting performance than EGArCH and APArCH models. In forecasting performance, the model under normal distribution gives more accurate forecasting performance than non-normal densities and generalized error distributions clearly outperform the student-t densities in case of SSE.

关键词： GArCH model forecasts student-t generalized error density stock market indices

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Design of a Multiband Patch Antenna for 5G Communication Systems

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Open Journal of Antennas and Propagation 2018年第1期6卷 1-14页

作者： Atik Mahabub md. mostafizur.r.hman md. Al-Amin md. Sayedur rahman md. Masud rana Department of Electronics and Communication Engineering KUET Khulna Bangladesh Department of Electrical and Electronic Engineering KUET Khulna Bangladesh

Currently, communication system requires multiband small antennas for 5G mobile applications. Driven this motivation, this paper proposes a multiband patch antenna for Wi-Fi, WiMAX and 5G applications. The proposed antenna can effectively operate at 2.4 GHz as Wi-Fi, 7.8 GHz as WiMAX and 33.5 GHz as 5G communication purposes. The proposed antenna arrays have given directional radiation patterns, very small voltage standing wave ratio, high gain (VSWr) and directivity for each aforementioned systems operating frequency. This antenna is made for multiband purpose which can be effective for not only Wi-Fi and WiMAX but also 5G applications.

关键词： 5G Communication Systems Multiband Patch Antenna Wi-Fi and WiMAX Systems

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Determination of Array Gain of Single Hop to Achieve the Performance of a 2-Hop Wireless Link

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Journal of Computer and Communications 2018年第7期6卷 84-98页

作者： Abu Sayed md. mostafizur rahaman Jesmin Akhter md. rafsan Jani md. Imd.dul Islam Department of Computer Science and Engineering Jahangirnagar University Savar Dhaka Bangladesh Institute of Information Technology Jahangirnagar University Savar Dhaka Bangladesh

In adaptive beamforming system adaptive algorithm of digital filter is applied to update the weighting vector of the antenna elements to get antenna gain along the desired direction and attenuation along the jammer. The objective of the paper is to evaluate the threshold gain of the adaptive beam former along the line of sight (LOS) between the transmitter and the receiver (including jammer suppression) to make the single hop link comparable with 2-hop link. The single hop and 2-hop communication systems are compared in context of symbol error rate (SEr) under fading condition theoretically and verified by simulation. Finally we evaluate the numerical value of threshold gain of adaptive beamformer of two antenna elements under rayleigh and Nakagami-m fading conditions.

关键词： Array Antenna System BEr Threshold Array Gain Side Lobe Canceller Path Loss

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Data Classification Using Combination of Five Machine Learning Techniques

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Journal of Computer and Communications 2021年第12期9卷 48-62页

作者： md. Habibur rahman Jesmin Akhter Abu Sayed md. mostafizur rahaman md. Imd.dul Islam Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh Institute of Information Technology Jahangirnagar University Dhaka Bangladesh

Data clustering plays a vital role in object identification. In real life we mainly use the concept in biometric identification and object detection. In this paper we use Fuzzy Weighted rules, Fuzzy Inference System (FIS), Fuzzy C-Mean clustering (FCM), Support Vector Machine (SVM) and Artificial Neural Network (ANN) to distinguish three types of Iris data called Iris-Setosa, Iris-Versicolor and Iris-Virginica. Each class in the data table is identified by four-dimensional vector, where vectors are used as the input variable called: Sepal Length (SL), Sepal Width (SW), Petal Length (PL) and Petal Width (PW). The combination of five machine learning methods provides above 98% accuracy of class identification.

关键词： Co-Variance of Fuzzy rule Objective Function Surface Plot Confusion Matrix Scatterplot and Accuracy of Detection

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Traffic Modelling of Low Dense Femtocellular Network for Long Term Evolution

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Journal of Computer and Communications 2019年第12期7卷 88-101页

作者： Jesmin Akhter Abu Sayed md. mostafizur rahaman md. Imd.dul Islam M. r. Amin Institute of Information Technology Jahangirnagar University Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh Department of Electronics and Communications Engineering East West University Dhaka Bangladesh

One of the features of Long Term Evolution (LTE) is the deployment of femtocells as the underlain cell of a macrocell without any intervention of frequency planning to offload the traffic. In this paper we used Markov chain to derive the expression of blocking probability for both macro and femtocell in terms of traffic parameters of the network. We developed an analytical model to find the expression of probability of forced termination (FT) using combination of mobility model and probability tree considering low dense femtocellular network. Two different trees were designed: a newly originating call which starts its session in a femtocell and that of in a macro cell. The link parameters of small scale fading of wireless network under Multiple Input Multiple Output (MIMO) are combined with the proposed traffic model to get the probability of FT of a real-life network. A new state transition chain was also developed including its solution for LTE traffic of variable bandwidth (BW) and a comparison was made with Erlang’s traffic model.

关键词： rayleigh and Nakagami-m Fading MIMO rB Forced Termination Outage Probability

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