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Aeromonas veronii isolated from climbing perch(Anabas testudineus)suffering from epizootic ulcerative syndrome(EUS)

Aquaculture and Fisheries 2023年第3期8卷 288-295页

作者： rakib ehsan Ashikur Rahman Sulav Indra Paul Md.Ali Arman Ador Md.Shameul Haque Tasmina Akter Md.Mahbubur Rahman Institute of Biotechnology and Genetic Engineering Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur1706Bangladesh Department of Fisheries Management Faculty of FisheriesBangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur1706Bangladesh

Motile Aeromonads are responsible for various diseases in fishes that cause significant economic losses in *** *** also frequently isolated from fish suffering from Epizootic Ulcerative Syndrome(EUS).The present study was conducted to isolate and identify *** from Vietnam climbing perch(Anabas testudineus)suffering from EUS,evaluate the pathogenicity of the isolates,and find out antibiogram profile and susceptibility of the isolates to medicinal plant *** climbing perch(***)suffering from EUS was collected from fish farms located at Savar,Dhaka and bacteria were isolated from the external ulcerative lesion,and kidney and liver of the infected fish on nutrient agar *** phenotypic identification of the bacterial isolates was performed following morphological,physiological and biochemical characterization *** 16S rRNA gene sequencing was accomplished for further molecular identification of five selected *** evaluate the pathogenicity of the isolates in vivo artificial infection challenge test was conducted through immersion *** in vivo pathogenicity test was done at three different temperatures(18◦C,28◦C,and 37◦C)to examine the effects of temperature on the pathogenicity of the *** commercial antibiotics were used to find out the antibiogram profile of the ***,susceptibility of the isolates was screened against 19 medicinal plants extracts.A total of 38 out of 46 isolates isolated from Vietnam climbing perch(***)suffering from EUS were phenotypically identified as Aeromonas *** randomly selected isolates were further confirmed as *** by analyzing the 16S rRNA gene sequence *** pathogenicity of the isolates was found moderate to high(41%-80%mortality)in the artificially challenged *** highest and lowest mortality was obtained in the fish challenged with the isolates BFKA33 and BFKA12,*** isolates were found resis

关键词： Aeromonas veronii Anabas testudineus,Epizootic ulcerative syndrome Antibiogram Medicinal plant extracts

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Effectiveness of Wastewater-Based Epidemiology as an Early Warning Tool to Detect SARS-CoV-2 (COVID-19)

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Health 2024年第7期16卷 635-656页

作者： rakib Ahmed Chowdhury Daniel E. Meeroff Sumaiya Sharmin Alamgir Kabir Sara Hollenbeck Valerie Dalencourt Thu Nguyen Zack Farmer Frederick Bloetscher Waseem Asghar Stacey Volnick College of Engineering and Computer Science Florida Atlantic University Boca Raton FL USA

Medical diagnostic tests to detect Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) for individuals in the United States were initially limited to people who were traveling or symptomatic to track disease incidence due to the cost of providing testing for all people in a community on a routine basis. As an alternative to randomly sampling large groups of people to track disease incidence at significant cost, wastewater-based epidemiology (WBE) is a well-established and cost-effective technique to passively measure the prevalence of disease in communities without requiring invasive testing. WBE can also be used as a forecasting tool since the virus is shed in individuals prior to developing symptoms that might otherwise prompt testing. This study applied the WBE approach to understand its effectiveness as a possible forecasting tool by monitoring the SARS-CoV-2 levels in raw wastewater sampled from sewer lift stations at a large public university campus setting including dormitories, academic buildings, and athletic facilities. The WBE analysis was conducted by sampling from building-specific lift stations and enumerating target viral copies using RT-qPCR analysis. The WBE results were compared with the 7-day rolling averages of confirmed infected individuals for the following week after the wastewater sample analysis. In most cases, changes in the WBE outcomes were followed by similar trends in the clinical data. The positive predictive value of the applied WBE approach was 86% for the following week of the sample collection. In contrast, positive correlations between the two data with Spearmen correlation (rs) ranged from 0.16 to 0.36. A stronger correlation (rs = 0.18 to 0.51) was observed when WBE results were compared with COVID-19 cases identified on the next day of the sampling events. The P value of 0.007 for Dorm A suggests high significance, while moderate significance was observed for the other dormitories (B, C, and D). The outcomes of this in

关键词： SARS-CoV-2 Wastewater Detection Wastewater-Based Epidemiology (WBE)

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YOLObin: Non-Decomposable Garbage Identification and Classification Based on YOLOv7

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Journal of Computer and Communications 2022年第10期10卷 104-121页

作者： Md. rakib Jabed Md. Shamsuzzaman Department of Computer Science and Engineering Begum Rokey University Rangpur Bangladesh

In order to safeguard the biological framework on which human creatures depend for presence and make society feasible improvement, it is becoming increasingly important to classify garbage. In any case, individuals are not recognizable with the classification strategy, so it is troublesome for individuals to accurately get the classification of each kind of rubbish. A proper waste management system is a primary task in building a smart and healthy city. In arrange to direct individuals to classify garbage accurately, this paper proposes a strategy of rubbish classification and acknowledgment based on YOLOv7 which is a cutting edge real time object detector. Performance of this model is compared along with two other object detectors where Mask-RCNN achieved f-measurement of 85%, YOLOv5 achieved f-measurement of 95.1% and YOLOv7 achieved f-measurement 95.9%. We have used non-decomposable multiclass garbage images which entails messy backgrounds with unwanted images as well. Four classes of non-decomposable garbage data namely chips packet, plastic bottle, polythene and image with multiclass garbage with 1000 images are prepared for our dataset. Our experimental models performed well in classifying garbage images with cluttered backgrounds. We compared our test results to previous studies in which the majority of the models were tested and trained using laboratory images. The test comes about illustrates that the classification framework features a sensible degree of accuracy and the segmentation recognition impact is way better within the case of point-by-point picture, which can proficiently and helpfully total the rubbish classification errand.

关键词： Mask-RCNN YOLOv5 YOLOv7 Garbage Classification Machine Learning

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Distribution of heavy metals in water and sediment of an urban river in a developing country:A probabilistic risk assessment

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International Journal of Sediment Research 2022年第2期37卷 173-187页

作者： Mir Mohammad Ali Saima Rahman Md Saiful Islam Md Refat Jahan rakib Shaharior Hossen Md Zillur Rahman Tapos Kormoker Abubakr M. Idris Khamphe Phoungthong Environmental Assessment and Technology for Hazardous Waste Management Research Center Faculty of Environmental Management Prince of Songkla University Quality Control Chemistry Lab Department of Fisheries Department of Aquaculture Sher-e-Bangla Agricultural University Research Center for Advanced Materials Science (RCAMS) King Khalid University Institute of Disaster Management Khulna University of Engineering and Technology Department of Soil Science Patuakhali Science and Technology University Department of Emergency Management Patuakhali Science and Technology University Department of Urban and Regional Planning Khulna University of Engineering and Technology Department of Fisheries and Marine Science Noakhali Science and Technology University Department of Fisheries Science Chonnam National University Department of Chemistry College of Science King Khalid University

River water and sediment embody environmental characteristics that give valuable eco-environmental *** to rapid industrialization,the aquatic environment of any urban river can be seriously polluted by heavy metals(HMs).The global concern is caused by heavy metal pollution because of its potential harm to aquatic ecosystems and human *** the Bhairab River,Bangladesh,surface sediment concentrations of globally alarming toxic metals such as arsenic(As),chromium(Cr),cadmium(Cd),and lead(Pb) were measured to determine the ecological and human health risks of the riverine *** average As,Cr,Cd,and Pb concentrations in water were 3.55,31.74,1.44,and23.82 μg/L,respectively,and in sediment were 4.13,34.17,1.66,and 25.46 mg/kg,*** the winter,metals in sediment were higher than during the *** most sediment samples,the enrichment factor(EF),contamination factor(CF),geoaccumulation index(I),pollution load index(PLI) of As,Cr,Cd,and Pb indicated moderate *** potential ecological risk(PER) in sediment followed the descending order of Cd> As> Pb> *** contamination level of toxic metals implied that the condition is frightening and probably severely affecting the aquatic ecology of this riverine ecosystem.

关键词： Toxic metals Environmental risk Bioaccumulation Ecological risk Bangladesh

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Current scenario and challenges of plastic pollution in Bangladesh:a focus on farmlands and terrestrial ecosystems

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Frontiers of Environmental Science & Engineering 2023年第6期17卷 1-22页

作者： MdRaihanul Islam Sumaiya Akter Ruponti MdAbdur rakib Huy Quoc Nguyen Monjur Mourshed Faculty of Agriculture Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur 1706Bangladesh Department of Microbiology Faculty of Biological Science and TechnologyJashore University of Science of TechnologyJashore 7408Bangladesh Faculty of Heat and Refrigeration Engineering The University of Danang—University of Science and TechnologyDanang 550000Vietnam Mechanical and Automotive Engineering School of EngineeringRMIT UniversityBundooraVictoria 3083Australia Department of Mechanical Engineering Rajshahi University of Engineering and Technology(RUET)Rajshahi 6204Bangladesh

Plastic is considered one of the most indispensable commodities in our daily *** the end of life,the huge ever-growing pile of plastic waste(PW)causes serious concerns for our environment,including agricultural farmlands,groundwater quality,marine and land ecosystems,food toxicity and human health *** of proper infrastructure,financial backup,and technological advancement turn this hazardous waste plastic management into a serious threat to developing countries,especially for Bangladesh.A comprehensive review of PW generation and its consequences on environment in both global and Bangladesh contexts is *** dispersion routes of PW from different sources in different forms(microplastic,macroplastic,nanoplastic)and its adverse effect on agriculture,marine life and terrestrial ecosystems are illustrated in this *** key challenges to mitigate PW pollution and tackle down the climate change issue is discussed in this ***,way forward toward the design and implementation of proper PW management strategies are highlighted in this study.

关键词： Plastic waste Farmlands Terrestrial ecosystem Marine life

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Different Detection and Treatment Methods for <i>Entamoeba histolytica</i>and <i>Entamoeba dispar</i>in Water/Wastewater: A Review

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Journal of Environmental Protection 2022年第1期13卷 126-149页

作者： rakib Ahmed Chowdhury Nwadiuto Esiobu Daniel E. Meeroff Fred Bloetscher Department of Civil Environmental & Geomatics Engineering Florida Atlantic University Boca Raton FL USA Department of Biological Sciences Florida Atlantic University Boca Raton FL USA

Entamoeba histolytica is an anaerobic parasitic protozoan and well known as a human pathogen, while its close relative, Entamoeba dispar, also possesses similar characteristics as an infectious agent. These microorganisms are generally transmitted in fecal-contaminated water. However, E. dispar present in industrial wastewater is also capable of creating biofilms that can cause adverse impacts in piping networks. Therefore, it is important to detect both of these protozoan species in water and to find a cost-effective technique for inactivation or management control. This review article summarizes the available detection methods in water and wastewater matrices along with feasible disinfection techniques.

关键词： Entamoeba histolytica Entamoeba dispar Detection Methods Water and Wastewater Treatment

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East African topography and volcanism explained by a single,migrating plume

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Geoscience Frontiers 2020年第5期11卷 1669-1680页

作者： rakib Hassan Simon E.Williams Michael Gurnis Dietmar Muller School of Geosciences Room 412Madsen Building F09 Eastern AvenueThe University of SydneyNSW2006Australia Seismological Laboratory California Institute of TechnologyPasadenaCA91125USA Now at Geoscience Australia GPO Box 378CanberraACT2601Australia State Key Laboratory of Continental Dynamics Department of GeologyNorthwest UniversityXi’an 710069China

Anomalous topographic swells and Cenozoic volcanism in east Africa have been associated with mantle *** models involving one or more fixed plumes beneath the northeastward migrating African plate have been suggested to explain the space-time distribution of magmatism in east *** devise paleogeographically constrained global models of mantle convection and,based on the evolution of flow in the deepest lower mantle,show that the Afar plume migrated southward throughout its *** models suggest that the mobile Afar plume provides a dynamically consistent explanation for the spatial extent of the southward propagation of the east African rift system(EARS),which is difficult to explain by the northeastward migration of Africa over one or more fixed plumes alone,over the last≈45 *** further show that the age-progression of volcanism associated with the southward propagation of EARS is consistent with the apparent surface hotspot motion that results from southward motion of the modelled Afar plume beneath the northeastward migrating African *** models suggest that the Afar plume became weaker as it migrated southwards,consistent with trends observed in the geochemical record.

关键词： Numerical mantle flow models Deep mantle flow LLSVP morphology Plume dynamics Plume motion Dynamic topography

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Effect of Elastane on Physical Properties of 1×1 Knit Rib Fabrics

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Journal of Donghua University(English Edition) 2020年第3期37卷 207-210页

作者： MOHAMMAD Abu Nasir rakib 李炜 SYED Rashedul Islam MD Obaidul Islam Department of Textile Engineering College of TextilesDonghua UniversityShanghai 201620China Key Laboratory of Textile Science&Technology Ministry of EducationShanghai 201620China Department of Textile Engineering BGMEA University of Fashion and TechnologyBangladesh

Because of wearing and washing the knit rib fabrics are highly vulnerable to lose their dimensional *** work investigated the physical properties of 1×1 knit rib fabrics with or without *** fabrics made from 100%cotton yarn were compared with the fabrics made from cotton/elastane(95%/5%)blended yarns by Lisky circular knitting ***,shrinkage,spirality,and bursting strength were tested by the ICI pilling test box,Wascator,and TruBurst machine to demonstrate the effect of elastane on fabric *** results showed that elastane has a noteworthy impact on the physical properties of 1×1 knit rib fabrics which can make the fabrics more durable and dimensionally stable in practice.

关键词： 1×1 knit rib fabrics elastane cotton pilling spirality bursting strength shrinkage test

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Mechanical Properties of Weft-Knitted Spacer Fabrics Integrated with Silica Aerogels

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Journal of Donghua University(English Edition) 2019年第6期36卷 559-563页

作者： SYED Rashedul Islam 于伟东蒋金华 MOHAMMAD Abu Nasir rakib Department of Textile Engineering College of TextilesDonghua UniversityShanghai 201620China Key Laboratory of Textile Science&Technology Ministry of EducationShanghai201620China

The work investigated surface and mechanical properties of untreated and treated three-layered weftknitted spacer *** order to optimize the mechanical properties of weft-knitted spacer fabrics,silica aerogels(SAs)coating was *** electron microscopy(SEM)images of untreated and treated spacer fabrics were analyzed to ensure the presence of SAs on the coated spacer *** basic properties of uncoated and coated weftknitted spacer fabrics were studied and *** strength and initial modulus were studied according to the GB/T3923 test standard YG026 MB-250 by testing ***,compression properties of spacer fabrics were also tested by HD026 G test *** this testing,work of compression,the linearity of compression,recovery work of compression and other parameters were calculated from stress and strain *** was found that SAs coating has a significant influence on the mechanical properties of weftknitted spacer *** statistical analysis also verified the significant performance(P value smaller than 0.05)of treated fabric samples at the 0.05 level.

关键词： 3D weft-knitted spacer fabrics silica aerogels(SAs)coating tensile strength initial modulus compression properties

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Toward simple,generalizable neural networks with universal training for low-SWaP hybrid vision

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Photonics Research 2021年第7期9卷 I0001-I0009页

作者： BAURZHAN MUMINOV ALTAI PERRY rakib HYDER M.SALMAN ASIF LUAT T.VUONG University of California Riverside Califomia 92521USA

Speed,generalizability,and robustness are fundamental issues for building lightweight computational *** we demonstrate generalizable image reconstruction with the simplest of hybrid machine vision systems:linear optical preprocessors combined with no-hidden-layer,"small-brain" neural networks. Surprisingly,such simple neural networks are capable of learning the image reconstruction from a range of coded diffraction patterns using two masks. We investigate the possibility of generalized or "universal training" with these small brains. Neural networks trained with sinusoidal or random patterns uniformly distribute errors around a reconstructed image,whereas models trained with a combination of sharp and curved shapes (the phase pattern of optical vortices) reconstruct edges more boldly. We illustrate variable convergence of these simple neural networks and relate learnability of an image to its singular value decomposition entropy of the image. We also provide heuristic experimental results. With thresholding,we achieve robust reconstruction of various disjoint datasets. Our work is favorable for future real-time low size,weight,and power hybrid vision:we reconstruct images on a 15 W laptop CPU with 15,000 frames per second:faster by a factor of 3 than previously reported results and 3 orders of magnitude faster than convolutional neural networks.

关键词： faster disjoint uniformly

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