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GliomaCNN: An Effective Lightweight CNN Model in Assessment of Classifying Brain Tumor from Magnetic Resonance Images Using Explainable AI

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2425-2448页

作者： md.Atiqur Rahman Mustavi Ibne Masum khan md hasib M.F.Mridha Sultan Alfarhood Mejdl Safran Dunren Che Department of Computer Science and Engineering Ahsanullah University of Science and TechnologyDhaka1208Bangladesh Department of Computer Science and Software Engineering The University of Western AustraliaPerthWA 6009Australia Department of Computer Science American International University-BangladeshDhaka1229Bangladesh Department of Computer Science College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia School of Computing Southern Illinois UniversityCarbondale62901USA

Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global *** study addresses the pressing issue of brain tumor classification using Magnetic resonance imaging(MRI).It focuses on distinguishing between Low-Grade Gliomas(LGG)and High-Grade Gliomas(HGG).LGGs are benign and typically manageable with surgical resection,while HGGs are malignant and more *** research introduces an innovative custom convolutional neural network(CNN)model,*** stands out as a lightweight CNN model compared to its *** research utilized the BraTS 2020 dataset for its *** with the gradient-boosting algorithm,GliomaCNN has achieved an impressive accuracy of 99.1569%.The model’s interpretability is ensured through SHapley Additive exPlanations(SHAP)and Gradient-weighted Class Activation Mapping(Grad-CAM++).They provide insights into critical decision-making regions for classification *** challenges in identifying tumors in images without visible signs,the model demonstrates remarkable performance in this critical medical application,offering a promising tool for accurate brain tumor diagnosis which paves the way for enhanced early detection and treatment of brain tumors.

关键词： Deep learning magnetic resonance imaging convolutional neural networks explainable AI boosting algorithm ablation

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Influence of waning immunity on vaccination decision-making:A multi-strain epidemic model with an evolutionary approach analyzing cost and efficacy

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Infectious Disease Modelling 2024年第3期9卷 657-672页

作者： md.Mamun-Ur-Rashid khan Jun Tanimoto Interdisciplinary Graduate School of Engineering Sciences Kyushu UniversityKasuga-koenKasuga-shiFukuoka816-8580Japan Faculty of Engineering Sciences Kyushu UniversityKasuga-koenKasuga-shiFukuoka816-8580Japan Department of Mathematics University of DhakaDhaka1000Bangladesh

In this research,we introduce a comprehensive epidemiological model that accounts for multiple strains of an infectious disease and two distinct vaccination *** stands out as the most effective means to prevent and manage infectious ***,when there are various vaccines available,each with its costs and effectiveness,the decision-making process for individuals becomes ***,the factor of waning immunity following vaccination also plays a significant role in influencing these *** understand how individuals make decisions in the context of multiple strains and waning immunity,we employ a behavioral model,allowing an epidemiological model to be coupled with the dynamics of a decision-making *** base their choice of vaccination on factors such as the total number of infected individuals and the cost-effectiveness of the *** findings indicate that as waning immunity increases,people tend to prioritize vaccines with higher costs and greater ***,when more contagious strains are present,the equilibrium in vaccine adoption is reached more ***,we delve into the social dilemma inherent in our model by quantifying the social efficiency deficit(SED)under various parameter combinations.

关键词： Multistrain epidemic model Vaccination Behavior dynamics Waning immunity Social dilemma

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Computer vision-based six layered ConvNeural network to recognize sign language for both numeral and alphabet signs

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Biomimetic Intelligence & Robotics 2024年第1期4卷 45-58页

作者： Muhammad Aminur Rahaman Kabiratun Ummi Oyshe Prothoma khan Chowdhury Tanoy Debnath Anichur Rahman md.Saikat Islam khan Department of Computer Science and Engineering Green University of BangladeshDhakaBangladesh Department of Computer Science and Engineering National Institute of Textile Engineering and Research(NITER)Constituent Institute of Dhaka UniversityDhakaBangladesh Department of Computer Science and Engineering Mawlana Bhashani Science and Technology UniversityTangailBangladesh

People who have trouble communicating verbally are often dependent on sign language,which can be difficult for most people to understand,making interaction with them a difficult *** Sign Language Recognition(SLR)system takes an input expression from a hearing or speaking-impaired person and outputs it in the form of text or voice to a normal *** existing study related to the Sign Language Recognition system has some drawbacks,such as a lack of large datasets and datasets with a range of backgrounds,skin tones,and *** research efficiently focuses on Sign Language Recognition to overcome previous *** importantly,we use our proposed Convolutional Neural Network(CNN)model,“ConvNeural”,in order to train our ***,we develop our own datasets,“BdSL_OPSA22_STATIC1”and“BdSL_OPSA22_STATIC2”,both of which have ambiguous backgrounds.“BdSL_OPSA22_STATIC1”and“BdSL_OPSA22_STATIC2”both include images of Bangla characters and numerals,a total of 24,615 and 8437 images,***“ConvNeural”model outperforms the pre-trained models with accuracy of 98.38%for“BdSL_OPSA22_STATIC1”and 92.78%for“BdSL_OPSA22_STATIC2”.For“BdSL_OPSA22_STATIC1”dataset,we get precision,recall,F1-score,sensitivity and specificity of 96%,95%,95%,99.31%,and 95.78%***,in case of“BdSL_OPSA22_STATIC2”dataset,we achieve precision,recall,F1-score,sensitivity and specificity of 90%,88%,88%,100%,and 100%respectively.

关键词： Conv NeuralSign language CNN Static Feature extraction Convolution2D Fully connected layer Dropout

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Multi-objective performance optimization&thermodynamic analysis of solar powered supercritical CO_(2)power cycles using machine learning methods&genetic algorithm

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Energy and AI 2024年第1期15卷 193-216页

作者： Asif Iqbal Turja md Mahmudul Hasan M.Monjurul Ehsan Yasin khan Department of Mechanical and Production Engineering(MPE) Islamic University of Technology(IUT)Board BazarGazipur1704Bangladesh

The present study is focused on multi-objective performance optimization&thermodynamic analysis from the perspectives of energy and exergy for Recompression,Partial Cooling&Main Compression Intercooling supercritical CO_(2)(sCO_(2))Brayton cycles for concentrated solar power(CSP)applications using machine learning *** novelty of this work lies in the integration of artificial neural networks(ANN)and genetic algorithms(GA)for optimizing the performance of advanced sCO_(2)power cycles considering climatic variation,which has significant implications for both the scientific community and engineering applications in the renewable energy *** methodology employed includes thermodynamic analysis based on energy,exergy&environmental factors including system performance *** system is modelled for net power production of 15 MW thermal output utilizing equations for the energy and exergy balance for each ***,thermodynamic model extracted dataset used for prediction&evaluation of Random Forest,XGBoost,KNN,AdaBoost,ANN and LightGBM ***,considering climate conditions,multi-objective optimization is carried out for the CSP integrated sCO_(2)Power cycle for optimal power output,exergy destruction,thermal and exergetic *** algorithm and TOPSIS(technique for order of preference by similarity to ideal solution),multi-objective decision-making tool,were used to determine the optimum operating *** major findings of this work reveal significant improvements in the performance of the advanced sCO_(2)cycle by 1.68%and 7.87%compared to conventional recompression and partial cooling cycle,*** research could advance renewable energy technologies,particularly concentrated solar power,by improving power cycle designs to increase system efficiency and economic *** advanced supercritical CO_(2)power cycles in concentrated solar power plants might increase renewable energy use

关键词： Supercritical CO_(2) Concentrated solar power Thermodynamic analysis Machine learning Artificial neural network Multi-objective optimization

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Pervasiveness of microplastics in the gastrointestinal tract of some selected fish species from Turag River alongside the capital city of Bangladesh

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Emerging Contaminants 2024年第3期10卷 77-85页

作者： HM Shahnewaz khan Jabed Hasan Mohammed Manik Murad Ahmed Farukh md Shahjahan Department of Environmental Science Bangladesh Agricultural UniversityMymensingh2202Bangladesh Laboratory of Fish Ecophysiology Department of Fisheries ManagementBangladesh Agricultural UniversityMymensingh2202Bangladesh

Microplastics(MPs)are synthetic contaminants that have received global attention due to their ubiquitous occurrence,extreme durability,and capacity to harm ecosystems and human *** study investigated the occurrence of MPs in three fish species(Channa striata,Puntius sophore and Anabas testudineus)collected from two locations(Ashulia Bridge and Mirpur Road)of the Turag River,which flows alongside the Dhaka city,*** abundance(items/individuals)was highest in Channa striata(3.8±0.6)from the Ashulia Bridge area and lowest in Puntius sophore(1.8±0.4)from the Mirpur Road *** was found to be the most dominant(89e93%)form of MPs followed by fragments(21 e35%),films(0e26%)and foams(0e5%).The dominant color of MPs was blue(69e83%),then red(20 e33%),black(11e14%),green(8e20%),and purple(6e8%).The majority(56e71%)of the MPs assessed were<0.5 mm in size,followed by 0.5e1.0 mm(29e33%)and 1e5 mm(38e53%).ATR-FTIR examination revealed three specific polymer varieties-PP(40%),PS(30%)and LDPE(30%).The results of this study provided a baseline of MPs pollution in one of the major protein sources freshwater fishes and raised concern on public health particularly who consume fishes from the urban waterways.

关键词： Microplastics Polymer Bangladesh Turag river ATR-FTIR

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Privacy-Preserving Information Fusion Technique for Device to Server-Enabled Communication in the Internet of Things:A Hybrid Approach

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Computers, Materials & Continua 2024年第7期80卷 1305-1323页

作者： Amal Al-Rasheed Rahim khan Tahani Alsaed Mahwish Kundi Mohamad Hanif md.Saad Mahidur R.Sarker Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science AbdulWali Khan University MardanMardan23200Pakistan Faculty of Computing and Informatics University Malaysia SabahKota KinabaluSabah88400Malaysia Applied College Taibah UniversityMadinah41477Saudi Arabia Maynooth International Engineering College Maynooth UniversityCo KildareW23 X021Irland Department of Mechanical Engineering Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia Institute of Visual Informatics Universiti Kebangsaan MalaysiaBangiSelangor43600Malaysia University of Design Innovation and Technology(UDIT)Av.Alfonso XIII97Madrid28016Spain

Due to the overwhelming characteristics of the Internet of Things(IoT)and its adoption in approximately every aspect of our lives,the concept of individual devices’privacy has gained prominent attention from both customers,i.e.,people,and industries as wearable devices collect sensitive information about patients(both admitted and outdoor)in smart healthcare *** addition to privacy,outliers or noise are among the crucial issues,which are directly correlated with IoT infrastructures,as most member devices are resource-limited and could generate or transmit false data that is required to be refined before processing,i.e.,***,the development of privacy-preserving information fusion techniques is highly encouraged,especially those designed for smart IoT-enabled *** this paper,we are going to present an effective hybrid approach that can refine raw data values captured by the respectivemember device before transmission while preserving its privacy through the utilization of the differential privacy technique in IoT *** window,i.e.,δi based dynamic programming methodology,is implemented at the device level to ensure precise and accurate detection of outliers or noisy data,and refine it prior to activation of the respective transmission ***,an appropriate privacy budget has been selected,which is enough to ensure the privacy of every individualmodule,i.e.,a wearable device such as a smartwatch attached to the patient’s *** contrast,the end module,i.e.,the server in this case,can extract important information with approximately the maximum level of ***,refined data has been processed by adding an appropriate nose through the Laplace mechanism to make it useless or meaningless for the adversary modules in the *** proposed hybrid approach is trusted from both the device’s privacy and the integrity of the transmitted information *** and analytical results ha

关键词： Internet of things information fusion differential privacy dynamic programming Laplace function

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Microplastics and heavy metals in freshwater fish species in the southwestern region of Bangladesh:An emerging concern for public health

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Emerging Contaminants 2024年第3期10卷 145-157页

作者： Mst Shamima Akter Tapos Kumar Chakraborty Gopal Chandra Ghosh md Simoon Nice Samina Zaman Abu Shamim khan Department of Environmental Science and Technology Jashore University of Science and TechnologyJashore 7408Bangladesh Environmental Laboratory Asia Arsenic NetworkJashore 7400Bangladesh

Microplastics(MPs)pollution and its associated toxicity raising concerns among scientists as a result of their toxicological impacts on human health and the *** study aims to investigate the microplastics and heavy metals(HMs)contamination in seventeen freshwater fish species collected from the Southwestern region of *** extracted from these species using the hydrogen peroxide digestion method and characterized by Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy(ATR-FTIR).Atomic Absorption Spectrometry(AAS)was used to determine the concentration of HMs in different species for evaluating human health risks.A total of 142 microplastic particles were extracted with an average concentration of 1.13±0.84 items per individual of fish,where the highest microplastics were found in ***(3.43±3.15 items)and lowest in ***(0.14±0.38 items).Identified microplastics were dominated byCu(0.01e1.14;0.50±0.44)>Pb(0.04e0.58;0.22±0.12)>Cd(0.00e0.11;0.03±0.03),*** metals-based human health risk assessment results show that there are no major non-carcinogenic health risks(THI<1),while higher carcinogenic risks are present for consumers.

关键词： Microplastics Edible fish Polymer type Heavy metals Human health risk Bangladesh

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Current updates on the epidemiology,pathogenesis and development of small molecule therapeutics for the treatment of Ebola virus infections

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Asian Pacific Journal of Tropical Medicine 2024年第7期17卷 285-298,I0001-I0007页

作者： Shah Alam khan Neelima Shrivastava mdJawaid Akhtar Aftab Ahmad Asif Husain Department of Pharmaceutical Chemistry College of PharmacyNational University of Science and TechnologyPO Box 620Postal code 130MuscatSultanate of Oman Centre of Molecular Medicine and Diagnostics(COMMAND) Saveetha Dental College&HospitalsSaveetha Institute of Medical&Technical SciencesSaveetha UniversityChennai 600077India Department of Pharmaceutical Chemistry School of Pharmaceutical Education and ResearchJamia HamdardNew Delhi-110062India Department of Health Information Technology the Applied CollegeKing Abdulaziz UniversityJeddah-21589Kingdom of Saudi Arabia

Ebola virus disease(EVD)is a rare,highly contagious and a deadly disease with a variable fatality rate ranging from 30%to 90%.Over the past two decades,Ebola pandemic has severely affected the sub-Sahara region including Democratic Republic of the Congo(DRC),and *** causative agents of the most EVD cases are three distinct species out of six Ebolaviruses namely Zaire Ebolavirus(ZEBOV),Sudan Ebolavirus(SUDV)and Bundibugyo Ebolavirus(BDBV).In recent years,significant strides have been made in therapeutic ***,the US Food and Drug Administration has approved two monoclonal antibodies:InmazebTM(REGN-EB3)and Ansuvimab or ***,many small molecules are currently in the developmental stage,promising further progress in medical *** the critical need for preventive measures,this review provides an in-depth analysis of the licensed Ebola vaccines-Ervebo and the combination of Zabdeno(***)and Mvabea(MVA-BN-Filo)as well as the vaccines which are currently being tested for their efficacy and safety in clinical *** vaccines might play an important role in curbing the spread and mitigating the impact of this lethal *** current treatment landscape for EVD encompasses both nutritional(supportive)and drug *** review comprehensively details the origin,pathogenesis,and epidemiology of EVD,shedding light on the ongoing efforts to combat this devastating *** explores small molecules in various stages of the development,discusses patents filed or granted,and delves into the clinical and supportive therapies that form the cornerstone of EVD *** review aims to provide the recent developments made in the design and synthesis of small molecules for scientific community to facilitate a deeper understanding of the disease and fostering the development of effective strategies for prevention,treatment,and control of EVD.

关键词： Ebola Epidemic Vaccine Ebola virus diseas

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Assessment of Physico-Chemical and Microbial Quality of Sugarcane Juice Sold by Street Vendors in Three Regions of Bangladesh

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Food and Nutrition Sciences 2024年第4期15卷 263-276页

作者： Nargis Akter khan md. Murtaja Reza Linkon Munni Akter md. Alamgir Hossain md. Mahbubur Rahman Tayeba khan md. Abdul Alim md. Esrafil Department of Food Technology and Nutritional Science Mawlana Bhashani Science and Technology University Tangail Bangladesh Department of Biotechnology and Genetic Engineering Mawlana Bhashani Science and Technology University Tangail Bangladesh

Sugar cane juice is a popular refreshing drink in most part of Bangladesh. It has great taste and health benefits;also it is available most of the public places at reasonable prices which consumed by road side customers including general public, shopping personals, tourists, students. In our country, street vendors crushing sugarcane between roller crusher and sold without any heat treatment or preservative, also served with or without added ice and lemon juice. The study aimed to identify and compare the physico-chemical and microbial quality of sugarcane juice. The chemical qualities of juices including moisture, PH, ash, total soluble solid, total sugar, reducing sugar and titrable acidity were found slightly different in Mymensingh, Gazipur and Narayangonj areas. The highest and lowest value of moisture, ash, PH, total soluble solids, total sugar, reducing sugar and titrable acidity were found in 84.33% - 79.26% (Gazipur-Mymensingh), 0.57% - 0.04% (Mymensingh-Gazipur), 5.9 - 2.9 (Gazipur-Narayangonj), 17.48% - 4.98% (Mymensingh-Narayangonj), 21.9% - 6.56% (Mymensingh-Gazipur), 3.7 - 2.1 (Gazipur-Mymensingh) and 0.523% - 0.007% (Narayangonj-Gazipur) respectively. For microbiological analysis, the total viable count of sugar cane juice in Mymensingh, Gazipur and Narayangonj were ranged from 0.6 × 105 - 43.6 × 105 cfu/ml, 4.6 × 105 - 21.6 × 105 cfu/ml and 3.6 × 105 - 36.6 × 105 cfu/ml respectively, where the permitted value is 1.0 × 104 cfu/ml, whereas the total coliform count was ranged from 0.4 × 105 - 6.4 × 105 cfu/ml, 0.6 × 105 - 8.4 × 105 cfu/ml and 0.00 - 8.4 × 105 cfu/ml, where the permitted value is 100 cfu/ml and total fungal count was ranged from 5.5 × 105 - 56.5 × 105 cfu/ml, 21.5 × 105 - 54.5 × 105 cfu/ml and 32.5 × 105 - 68.5 × 105 cfu/

关键词： Sugarcane Street Vendors Microbial Quality Reducing Sugar

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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 Rahman 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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