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Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

Computers, Materials & Continua 2023年第2期74卷 3727-3741页

作者： md Zahid Hasan Ontor md Mamun ali Kawsar Ahmed Francis M.Bui Fahad Ahmed al-Zahrani S.M.Hasan mahmud Sami Azam Department of Software Engineering(SWE) Daffodil International University(DIU)SukrabadDhaka1207Bangladesh Group of Biophotomatiχ Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonS7N5A9SKCanada Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Computer Science American International University-Bangladesh(AIUB)KuratoliDhaka1229Bangladesh College of Engineering IT and EnvironmentCharles Darwin UniversityCasuarina0909NTAustralia

Cervical Cancer(CC)is a rapidly growing disease among women throughout the world,especially in developed and developing *** this many women have ***,it is curable if it can be diagnosed and detected at an early stage and taken proper *** the high cost,awareness,highly equipped diagnosis environment,and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early *** solve this issue,the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix cell *** system is designed using the YOLOv5(You Only Look Once Version 5)model,which is a deep learning *** build the model,cervical cancer pap-smear test image datasets were collected from an open-source repository and these were labeled and *** the YOLOv5 models were applied to the labeled dataset to train the *** versions of the YOLOv5 model were applied in this study to find the best fit model for building the automated system to diagnose CC at an early *** of the model’s variations performed *** model can effectively detect cervical cancerous cell,according to the findings of the *** the medical field,our study will be quite *** can be a good option for radiologists and help them make the best selections possible.

关键词： Cervical cancer pap-smear deep learning cancerous cell YOLOv5 model

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Annual pattern of zooplankton communities and their environmental response in a subtropical maritime channel system in the northern Bay of Bengal, Bangladesh

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Acta Oceanologica Sinica 2018年第8期37卷 65-73页

作者： abdullah al Mamun alAM md.Didarul AKHTAR Aysha XU Henglong ISLAM md.Shafiqul MUSTAFA KAMal Abu Hena UDDIN M Muslem alAM md.Wahidul Laboratory of Microbial Ecology Ocean University of China Faculty of Marine Sciences and Fisheries University of Chittagong Department of Animal Science and Fishery Faculty of Agriculture and Food Sciences Universiti Putra Malaysia Campus Bintulu

Zooplankton plays an important role in aquatic food webs by fluxing of energy from primary producer to subsequent trophic levels in the food chain. The annual pattern of zooplankton communities and potential environmental drivers were studied in the Kohelia channel, Bangladesh from summer 2014 to spring *** were collected using net at a depth of 1 m. A total of 32 species belonged to 18 orders, 27 families and 15 taxonomic groups were identified. Of these species, 22 distributed in all four seasons of which 8 were dominant and highly contributing to the total communities. Species number peaked in summer next to winter and fall in spring while maximum abundance was in summer and minimum in spring. Multivariate analyses showed that there was a clear annual pattern in the zooplankton communities. Species diversity and evenness peaked in spring but fall in autumn while the high value of species richness was found in winter. Biological-environmental best matching（BIO-ENV） analyses conformed that community pattern of zooplankton was mainly driven by transparency salinity, and temperature individually or combined with water nutrients. These results demonstrate that annual pattern of the zooplankton community shaped by channel environmental factors in subtropical channel ecosystems, thus might be used for community-based subtropical coastal water bioassessment.

关键词： zooplankton trophic levels subtropical channel community structure multivariate approach

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Nipah Virus Unveiled: A Review Article

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Advances in Bioscience and Biotechnology（生命科学与技术进展） 2024年第3期 161页

作者： Munama Magdum md. Abir Tazim Chowdhury mahmuda Khandaker Razdip Datta md. Naheed Rayhan md. Siffat Uddin md. Junayed Imam Bhuiyan md. Ahaduzzaman md. abdullah al-Mahammud Kabir Mohammad Zishan Uddin md. Estiak Ullah Sahid Subrata Saha

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Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh

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Data Intelligence 2024年第3期6卷 834-868页

作者： M.Raihan Sami Azam Laboni Akter md.Mehedi Hassan Ryana Quadir Asif Karim Saikat Mondal Arun More Department of Computer Science and Engineering North Western UniversityKhulna 9100Bangladesh Faculty of Science and Technology Charles Darwin UniversityNT 0909Australia Departmentof Biomedical Engineering Khulna University of Engineering&TechnologyKhulnaBangladeh Computer Science and Engineering Discipline Khulna UniversityKhulna 9208Bangladesh Department of Computer Science and Engineering Daffodil International University(DIU)Bangladesh Department of Cardiology Ter Institute of Rural Health and ResearchMurud-413510India

Ischemic heart disease(IHD)is one of the leading causes of death ***,different geographic regions show different variations of the risk factors of this disease based on the different lifestyles of *** study examines the current IHD condition in southern Bangladesh,a Southeast Asian middle-income *** main approach to this research is an al-based proposal of a reduced set of the greatest impact clinical traits that may cause *** approach attempts to reduce IHD morbidity and mortality by early detection of risk factors using the reduced set of clinical ***,diagnostic,and symptomatic features were considered for analysing this clinical *** pre-processing utilizes several machine learning techniques to select significant features and make meaningful interpretations.A proposed voting mechanism ranked the selected 138 features by their impact *** this regard,diverse patterns in correlations with variables,including age,sex,career,family history,obesity,etc.,were calculated and explained in terms of voting *** the 138 risk factors,three labels were categorized:high-risk,medium-risk,and low-risk features;19 features were regarded as high,25 were medium,and 94 were considered low impactful *** research's technological methodology and practical goals provide an innovative and resilient framework for addressing IHD,especially in less developed cities and townships of Bangladesh,where the general population's socioeconomic conditions are often *** data collection,pre-processing,and use of this study's complete and comprehensive IHD patient dataset is another innovative *** believe that other relevant research initiatives will benefit from this work.

关键词： Ischemic heart disease Machine learning CVD Data categorization Medical data

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Phytochemical analysis and antioxidant profile of methanolic extract of seed, pulp and peel of Baccaurea ramiflora Lour.

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Asian Pacific Journal of Tropical Medicine 2018年第7期11卷 443-450页

作者： md.Sahab Uddin md.Sarwar Hossain abdullah al Mamun Devesh Tewari md.Asaduzzaman md.Siddiqul Islam Mohamed M.Abdel-Daim Department of Pharmacy Southeast University Department of Pharmaceutical Sciences Faculty of Technology Kumaun University Department of Pharmacology Suez Canal University

Objective: To analyze the phytochemical constituents responsible for the plausible antioxidant effect of methanolic extract of the seed, pulp and peel of Baccaurea ramiflora Lour. Methods: Fresh seed, pulp, and peel of Baccaurea ramiflora fruits were extracted with methanol(MEBRse, MEBRpu, MEBRpe) and evaluated by phytochemical analysis for their content of innumerable metabolites(primary and secondary) viz. carbohydrates, alkaloids, glycosides, tannins, phenols, terpenoids, flavonoids, proteins, and fixed oils. The antioxidant efficacy was assessed through different assay methods viz. 2,2-diphenyl-1-picrylhydrazyl(DPPH) free radical scavenging activity, total antioxidant capacity(TAC) and reducing power capacity(RPC). Estimation of total phenolic content(TPC), and total flavonoid content(TFC) was also done to confirm the presence of these phytochemicals. Results: It was revealed from the phytochemical analysis of MEBRse that alkaloids, glycosides, carbohydrates, phenols, and flavonoids were present, while that of MEBRpu showed the existence of carbohydrates, proteins, alkaloids, glycosides, phenols, saponins, flavonoids, and fixed oils. Presence of carbohydrates, alkaloids, phenols, tannins, flavonoids, and terpenoids were found in the MEBRpe. A significant antioxidant activity was revealed by the MEBRpu [EC_(50):(27.612 ± 1.375) μg/mL], compared to MEBRpe, and MEBRse in DPPH assay. The ranking order for RPC was MEBRpu > MEBRpe > MEBRse respectively. The EC_(50) value of TAC of the MEBRpu, MEBRpe, and MEBRse were(25.107 ±0.744) μg/mL,(241.127 ± 7.463) μg/mL and(372.364 ± 11.030) μg/mL, respectively. Quantity of TPC and TFC were the highest in the MEBRpu(124.360 ± 2.078 mg GAE/g and 107.527 ±1.900 mg QRE/g extract) rather than MEBRpe and MEBRse extracts. Conclusions: This study suggests that MEBRpu has a significantly higher antioxidant property than MEBRpe and MEBRse. These extracts might be advantageous in prevention or decelerating the progress of different disea

关键词： Oxidative stress Baccaurea ramiflora Phytochemical analysis Antioxidant activity

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Detection of Different Stages of alzheimer’s Disease Using CNN Classifier

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Computers, Materials & Continua 2023年第9期76卷 3933-3948页

作者： S M Hasan mahmud md Mamun ali Mohammad Fahim Shahriar Fahad Ahmed al-Zahrani Kawsar Ahmed Dip Nandi Francis M.Bui Department of Computer Science American International University-Bangladesh(AIUB)Dhaka1229Bangladesh Centre for Advanced Machine Learning and Applications(CAMLAs) DhakaBangladesh Department of Software Engineering Daffodil International UniversityDhakaBangladesh Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia Department of ECE University of SaskatchewanSaskatoonSK S7N5A9Canada Group of Biophotomatiχ Department of ICTMBSTUSantoshTangail1902Bangladesh

alzheimer’s disease(AD)is a neurodevelopmental impairment that results in a person’s behavior,thinking,and memory *** common symptoms ofADare losingmemory and early *** addition to these,there are several serious impacts ***,the impact ofADcanbemitigatedby early-stagedetection though it cannot be cured ***-stage detection is the most challenging task for controlling and mitigating the impact of *** study proposes a predictive model to detect AD in the initial phase based on machine learning and a deep learning approach to address the *** build a predictive model,open-source data was collected where five stages of images of AD were available as Cognitive Normal(CN),Early Mild Cognitive Impairment(EMCI),Mild Cognitive Impairment(MCI),Late Mild Cognitive Impairment(LMCI),and *** stage of AD is considered as a class,and then the dataset was divided into three parts binary class,three class,and five *** this research,we applied different preprocessing steps with augmentation techniques to efficiently *** integrates a random oversampling technique to handle the imbalance problem from target classes,mitigating the model overfitting and *** three machine learning classifiers,such as random forest(RF),K-Nearest neighbor(KNN),and support vector machine(SVM),and two deep learning methods,such as convolutional neuronal network(CNN)and artificial neural network(ANN)were applied on these *** analyzing the performance of the used models and the datasets,it is found that CNN with binary class outperformed 88.20%*** result of the study indicates that the model is highly potential to detect AD in the initial phase.

关键词： alzheimer’s disease early detection convolutional neural network data augmentation random oversampling machine learning

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In silico identification of antiviral compounds for the treatment of chikungunya virus infection:qsar modelling and md simulation analysis

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Medicine in Novel Technology and Devices 2024年第2期22卷 102-114页

作者： Hayder M Abdulhamza Muthanna S.Farhan Sara.S Hassan Hany Aqeel al-Hussainy Amjad Ibrahim Oriabi Department of Pharmacy Kut University CollegeAlkutWasit52001Iraq Department of Pharmaceutical Chemistry College of PharmacyUniversity of BaghdadBaghdadIraq al-Manara College for Medical Sciences Department of PharmacyIraq Department of Pharmacy Hilla University CollegeBabylonIraq Dr Hany Akeel Institute Iraqi Medical Research CenterBaghdad10001Iraq

Chikungunya virus(CHIKV),transmitted by arthropods,has gained global recognition for its impact on public *** has expanded globally,including Africa,Asia,and the Indian subcontinent,and has a helicase protein in its genome that is crucial for its ***,the study targeted the helicase protein of CHIKV with 745 antiviral compounds using an ML-based QSAR model and molecular *** binders(5279172,78161839,6474310,and 5330286)were selected for md simulation based on the control(Silvestrol).all compounds had the highest binding scores,with 78161839 showing the most consistent RMSD and the least conformational variation,indicating high *** also showed the lowest binding free energy(ΔG¼31.31 kcal/mol),indicating energetically favourable *** and FEL also depicted the stable complex confirmation of the protein and 78161839 complex during the 100 ns ***,this study aimed to identify helicase function antiviral binders that could be experimentally tested for treating CHIKV.

关键词： Chikungunya virus Machine learning based QSAR Molecular dynamic solution Helicase

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Assessment of Heavy Metals Contamination of Topsoil and Street Dust around Cement Factory in Southern Jordan

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Journal of Environmental Protection 2024年第6期15卷 672-696页

作者： Omar ali al-Khashman alia Omar al-Khashman Navasingh Rajesh Jesudoss Hynes Hani M. alnawafleh Pitchumani Shenbaga Velu Department of Environmental Engineering Al-Hussein Bin Talal University Maan Jordan md/Ministry of Health Amman Jordan Department of Mechanical Engineering Mepco Schlenk Engineering College Si-vakasi India Department of Mining and Mineral Engineering Al-Hussein Bin Talal University Maan Jordan Department of Mechanical Engineering PSR Engineering College Sivakasi India

Evaluation of assessment of the metal processes governing the metals distribution in soil and dust samples is very significant and protects the health of human and ecological system. Recently, special attention has given to the assessment of metals pollution impact on soil and dust within industrial areas. This study aims to assess the metal contamination levels in the topsoil and street dust around the cement factory in Qadissiya area, southern Jordan. The levels of seven metals (namely Fe, Zn, Cu, Pb, Cr, Cd, and Mn) were analyzed using Flame Atomic Absorption Spec-trophotometer (FAAS) to monitor, evaluate, and to compare topsoil and road dust pollution values of metals of the different types of urban area. The physicochemical parameters which believed to affect the mobility of metals in the soil of the study area were determined such as pH, EC, TOM, CaCO3 and CEC. The levels of metal in soil samples are greater on the surface but decrease in the lower part as a result of the basic nature of soil. The mean values of the metals in soil can be arranged in the following order: Zn > Pb > Mn > Fe > Cu > Cr > Cd. The relatively high concentration of metals in the soil sample was attributed to anthropogenic activities such as traffic emissions, cement factory and agricultural activities. Correlation coefficient analysis and the spatial distribution of indices and the results of statistical analysis indicate three groups of metals: Fe and Mn result by natural origin, Zn, Pb, Cu and Zn result by anthropogenic origin (mainly motor vehicle traffic and abrasion of tires) while Cd is mixed origin. The higher content level values of metals of anthropogenic source in soil samples indicate that it is a source of contamination of air in the studied area. .

关键词： Cement Dust Heavy Metals Contamination Risk Assessment Statistical Analysis Jordan

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Design and Analysis of Power and Transmission System of Downhole Pure Electric Command Vehicle

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Journal of Transportation Technologies（交通科技期刊） 2024年第1期

作者： md Jahangir alam md Shahriar Sujan md.al Imran Tapu Joy Howlader

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Seaweed farming for food and nutritional security,climate change mitigation and adaptation,and women empowerment:A review

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Aquaculture and Fisheries 2023年第5期8卷 463-480页

作者： Fahmida Sultana md Abdul Wahab md Nahiduzzaman md Mohiuddin Mohammad Zafar Iqbal Abrar Shakil abdullah-al Mamun md Sadequr Rahman Khan LiLian Wong md Asaduzzaman Department of Marine Bioresource Science Faculty of FisheriesChattogram Veterinary and Animal Sciences UniversityKhulshiChattogram4225Bangladesh ECOFISH-II Activity WorldFishBangladesh and South Asia OfficeBananiDhaka1213Bangladesh Department of Fisheries and Marine Science Noakhali Science and Technology UniversityNoakhali3814Bangladesh Institute of Marine Biotechnology Universiti Malaysia TerengganuKuala-TerengganuTerengganu21030Malaysia

Seaweed is a promising marine macroalgae of the millennium,providing various ecological,social,and economic *** present,seaweed production reached 35.8 million t from farming,accounting for 97%of global seaweed output,with a world market of US$11.8 *** are an excellent source of nutritious human food because of their low lipid content,high minerals,fibers,polyunsaturated fatty acids,polysaccharides,vitamins,and bioactive *** seaweed sub-products offer unique properties to develop various functional foods for the food processing *** the perspective of climate change mitigation,seaweed farms absorb carbon,serve as a CO_(2)sink and reduce agricultural emissions by providing raw materials for biofuel production and livestock *** farming system also helps in climate change adaptation by absorbing wave energy,safeguarding shorelines,raising the pH of the surrounding water,and oxygenating the waters to minimize the impacts of ocean acidification and hypoxia on a localized ***,it contributes substantially to the sustainable development of the economic condition of coastal women by providing livelihood opportunities and ensuring financial *** review paper highlights the significance of seaweed farming in global food and nutritional security,mitigation and adaptation to global climate change,and women empowerment within a single *** review paper also outlined the major issues and challenges of seaweed farming for obtaining maximum benefits in these *** main challenges of making seaweed as a staple diet to millions of people include producing suitable species of seaweeds,making seaweed products accessible,affordable,nutritionally balanced,and attractive to the *** food products must be developed from seaweeds that may be considered equivalent to the foods consumed by humans *** of effective marine spatial planning to avoid user conflicts is vital for expanding the seawee

关键词： Seaweed Functional food Nutritional security Blue carbon Climate change adaptation Women empowerment

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