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Journal of Textile Science and Technology 2021年第1期7卷 1-13页

作者： Gazi Farhan Ishraque Toki Akash Banik Taosif Ahmed Rony Mia Rezaul Karim Khan Alave Jarin Jahan md. mostafizur rahman palash md. Salman Farsee Department of Textile Engineering National Institute of Textile Engineering & Research (NITER) Savar Dhaka Bangladesh School of Environmental Engineering Wuhan Textile University Wuhan China College of Chemistry & Chemical Engineering Wuhan Textile University Wuhan China School of Technical Research Wuhan Textile University Wuhan China Department of Textile Engineering Pabna Textile Engineering College (PTEC) Shalgaria Pabna Bangladesh

Corduroy yarn is generally introduced in a fabric structure of garments due to developing different designs in terms of appearance of fabric which is called corduroy garment. In this study, both corduroy and denim garments have been made to develop a denim-like wash effect on corduroy garments that will create a new fashion, value addition and sustainability in washing technology. Both the garments are treated with the same washing process. Also, some physical properties have been investigated for both washed garments such as Washing Effect Test, Tear Strength Test, GSM Test, and Rubbing Test. Then a comparative study has been done on both washed garments. The appearance of washed corduroy garments is satisfactory. The physical properties also show a better result. Finally, a satisfactory result is achieved from this work.

关键词： Washing and Finishing Treatments Denim Corduroy Rubbing Test Tearing Strength Gram Per Square Meter Test

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 rahman 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),andunpaved 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

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 rahman 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

Effects of florfenicol exposure on growth,development and antioxidant capacity of flounder Paralichthys olivaceus larvae at different developmental stages

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Journal of Oceanology and Limnology 2020年第2期38卷 550-559页

作者： GUO Rui ZHANG Yingqi ZHANG Xianyu ZHANG Qian CHENG Rui md.mostafizur rahman LIU Ying College of Marine Science and Environment Dalian Ocean UniversityDalian 116023China Liaoning Aquacultural Engineering R&D Center Dalian 116023China

Antibiotics are widespread in various environmental media,and may pose a potential threat to aquatic ecosystems and non-target aquatic ***(FLO)is one of the most commonly used antibiotics in aquaculture,and extensively used to substitute chloramphenicol with its strong sterilization and low adverse ef *** this study,flounder Paralichthys olivaceus,an important economic fish species in seawater was used as an experimental *** exposure concentrations of FLO(including environmentrelated concentrations)were set at 0,0.01,0.1,1,and 10 mg/*** fects of FLO exposure for 168 h on growth and development,motor behavior,antioxidant enzyme activity,malondialdehyde(md.)content,and thyroid hormone level of *** larvae were studied in pre-larvae(1 dpf)and post-larvae(20 dpf).The results show that the short-term FLO exposure could promote the larvae growth to some degrees,but inhibit them as the exposure time *** pre-larvae,FLO at 0.01 mg/L could stimulate the motor nerve system and increase the swimming ability,but inhibited it at 1 mg/*** the increasing dosage of FLO,the superoxide dismutase(SOD)and md. contents were elevated,reaching the maximum in the 1 mg/L FLO *** pre-larvae were more sensitive than the post-larvae to FLO in the environment,and the growth and immune resistance could be damaged with long ***-larvae were more tolerant to external pollutants,FLO at 1 mg/L could promote the motor behavior and reduce SOD and md. ***,FLO can be used as an antibiotic at a proper concentration but as a drug to prevent disease in a long-term way.

关键词： florfenicol Paralichthys olivaceus larvae growth and development motor behavior antioxidant capacity

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 rahman 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

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

A study of groundwater irrigation water quality in south-central Bangladesh: a geo-statistical model approach using GIS and multivariate statistics

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Acta Geochimica 2018年第2期37卷 193-214页

作者： M.Atikul Islam md.mostafizur rahman md.Bodrud-Doza md.Iftakharul Muhib Mashura Shammi Anwar Zahid Yeasmin Akter Masaaki Kurasaki Department of Chemistry Hajee Mohammad Danesh Science and Technology University Department of Environmental Sciences Jahangirnagar University Graduate School of Environmental Science Hokkaido University Department of Environmental Pollution and Process Control Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Groundwater Hydrology Bangladesh Water Development Board Department of Chemistry University of Chittagong

Southern Bangladesh＇s irrigation and drinking water is threatened by saline intrusion. This study aimed to establish an irrigation water quality index （IWQI） using a geostatistical model and multivariate indices in Gopalganj district, south-central Bangladesh. Groundwater samples were taken randomly （different depths） in two seasons （wet-monsoon and dry-monsoon）. Hydrochemical analysis revealed groundwater in this area was neutral to slightly alkaline and dominating cations were Na^＋, Mg^2＋, and Ca^2＋ along with major anions Cl^- and HCO3^-. Principal component analysis and Gibbs plot helped explain possible geochemical processes in the aquifer. The irrigation water evaluation indices showed： electrical conductivity （EC）〉750 μS/cm, moderate to extreme saline; sodium adsorption ratio （SAR）, excellent to doubtful; total hardness （TH）, moderate to very hard; residual sodium bicarbonate, safe to marginal; Kelly＇s ratio 〉1; soluble sodium percentage （SSP）, fair to poor; magnesium adsorption ratio, harmful for soil; and IWQI, moderate to suitable. In addition, the best fitted semivariogram for IWQI, EC, SAR, SSP, and TH confirmed that most parameters had strong spatial dependence and others had moderate to weak spatial dependence. This variation might be due to the different origin/sources of major contributing ions along with the influence of variable river flow and small anthropogenic contributions. Furthermore, the spatial distribution maps for IWQI, EC, SSP, and TH during both seasons confirmed the influence of salinity from the sea; low-flow in the major river system was the driving factor of overall groundwater quality in the study area. These findings may contribute to management of irrigation and/or drinking water in regions with similar groundwater problems.

关键词： Semivariogram Ordinary kriging model Salinity Irrigation water quality index GIS Hydrochemistry

Performance Evaluation of Multiple Classifiers for Predicting Fake News

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Journal of Computer and Communications 2022年第9期10卷 1-21页

作者： Arzina Tasnim md. Saiduzzaman Mohammad Arafat rahman Jesmin Akhter Abu Sayed md. mostafizur Rahaman Department of Information Systems Security Bangladesh University of Professionals Dhaka Bangladesh Institute of Information Technology Jahangirnagar University Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

The rise of fake news on social media has had a detrimental effect on society. Numerous performance evaluations on classifiers that can detect fake news have previously been undertaken by researchers in this area. To assess their performance, we used 14 different classifiers in this study. Secondly, we looked at how soft voting and hard voting classifiers performed in a mixture of distinct individual classifiers. Finally, heuristics are used to create 9 models of stacking classifiers. The F1 score, prediction, recall, and accuracy have all been used to assess performance. Models 6 and 7 achieved the best accuracy of 96.13 while having a larger computational complexity. For benchmarking purposes, other individual classifiers are also tested.

关键词： Fake News Machine Learning TF-IDF Classifier Estimator F1 Score Recall Precision Voting Classifiers Stacking Classifier Soft Voting Hard Voting

A Critical Analysis of Machine Learning and Deep Learning Methods for Cervical Cancer Screening

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Journal of Computer and Communications 2023年第12期11卷 64-85页

作者： Muhtasim Mahmudur rahman Jakir Khan Abu Sale Mohammad mostafizur rahman Redoanul Haque md. Sumon Ali Department of Computer Science and Engineering Bangladesh Army University of Engineering & Technology Natore Bangladesh

Cervical cancer is a serious public health issue worldwide, and early identification is crucial for better patient outcomes. Recent study has investigated how ML and DL approaches may be used to increase the accuracy of vagina tests. In this piece, we conducted a thorough review of 50 research studies that applied these techniques. Our investigation compared the outcomes to well-known screening techniques and concentrated on the datasets used and performance measurements reported. According to the research, convolutional neural networks and other deep learning approaches have potential for lowering false positives and boosting screening precision. Although several research used small sample sizes or constrained datasets, this raises questions about how applicable the findings are. This paper discusses the advantages and disadvantages of the articles that were chosen, as well as prospective topics for future research, to further the application of ml and dl in cervical cancer screening. The development of cervical cancer screening technologies that are more precise, accessible, and can lead to better public health outcomes is significantly affected by these findings.

关键词： Cervical Cancer Neoplasms Screening Machine Learning Techniques Deep Learning Techniques

Using Magnesium Sulfate to Prevent Atrial Fibrillation after Coronary Artery Bypass Grafting Surgery: A Single Centre Experience in Bangladesh

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World Journal of Cardiovascular Diseases 2023年第9期13卷 565-577页

作者： Manoj Tiwari md. Abir Tazim Chowdhury Hema Poudel Munama Magdum md. mostafizur rahman Vivek Kumar Jha md. Ahaduzzaman md. Abul Bashar Maruf Department of Cardiovascular and Thoracic Surgery B.P. Koirala Memorial Cancer Hospital Bharatpur Chitwan Nepal Department of Cardiothoracic and Vascular Surgery Evercare Hospital Dhaka Dhaka Bangladesh Department of Dermatology and Venerology Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh Department of Community Medicine Shaheed Monsur Ali Medical College Dhaka Bangladesh Department of Cardiac Surgery Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh Department of Cardiac Surgery Ibn Sina Specialized Hospital Dhaka Bangladesh

Background: Atrial fibrillation commonly occurs following cardiac surgery, particularly after coronary artery bypass grafting. Magnesium, known for its stabilizing effect on cell membranes, has shown promise in preventing postoperative atrial fibrillation. This study aimed to assess the impact of intravenous magnesium infusion in preventing atrial fibrillation after off-pump coronary artery bypass grafting, where maintaining stable cell membranes is crucial in averting this complication. Methods: A cross-sectional study was conducted at the Department of Cardiac Surgery, Bangabandhu Sheikh Mujib Medical University, from March 2020 to February 2022. Sixty-six patients who underwent off-pump coronary artery bypass grafting were enrolled and divided into two groups. Group A (n = 33) received intravenous magnesium sulfate (10 mmol/2.47gm) for three days after surgery, while Group B (n = 33) did not receive magnesium sulfate. Postoperative atrial fibrillation occurrence in the Intensive Care Unit (ICU) within three days after surgery was evaluated using convenient sampling. Statistical analysis was performed with SPSS version 26.0, utilizing independent Student’s t-test for continuous data and Chi-square and Fisher’s exact test for categorical data. A p-value of ≤0.05 was considered statistically significant. Results: No significant differences in age or gender were observed between the two groups. Group B exhibited significantly lower magnesium levels than Group A on the 0th, 1st, 2nd, and 3rd days post-surgery. Additionally, Group B experienced a higher incidence of postoperative atrial fibrillation, longer ICU stays, and two mortalities. The study did not detect any adverse effects associated with magnesium infusion. Conclusion: It has been demonstrated that administering magnesium intravenously after off-pump coronary artery bypass grafting can lower the chances of developing atrial fibrillation. This demonstrates the poten

关键词： Atrial Fibrillation (AF) Coronary Artery Bypass Grafting (CABG) Postopera-tive Atrial Fibrillation (POAF) Magnesium Sulfate Bangladesh.