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Gastrointestinal and hepatic diseases during the COVID-19 pandemic:Manifestations,mechanism and management

World Journal of Gastroenterology 2021年第28期27卷 4504-4535页

作者： Dina Zakaria Mohamed Mai El-sayed Ghoneim Sally El-sayed abu-Risha Ramy Ahmed Abdelsalam Mohamed Abdelhalem Farag Department of Pharmacology and Toxicology Faculty of PharmacyTanta UniversityTanta 31511Egypt Department of Pharmacology and Toxicology Faculty of PharmacyUniversity of Sadat CityMenoufia 32632Egypt Department of Pathology Faculty of MedicineMansoura UniversityMansoura 35511Egypt Department of Pediatrics Nebru General HospitalNebru 35511Egypt

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is considered the causative pathogen of coronavirus disease 2019(COVID-19)and has become an international danger to human *** respiratory transmission and symptoms are still the essential manifestations of COVID-19,the digestive system could be an unconventional or supplementary route for COVID-19 to be transmitted and manifested,most likely due to the presence of angiotensin-converting enzyme 2(ACE2)in the gastrointestinal *** addition,SARS-CoV-2 can trigger hepatic injury via direct binding to the ACE2 receptor in cholangiocytes,antibodydependent enhancement of infection,systemic inflammatory response syndrome,inflammatory cytokine storms,ischemia/reperfusion injury,and adverse events of treatment *** symptoms,including anorexia,nausea,vomiting,and diarrhea,which are unusual in patients with COVID-19,and some digestive signs may occur without other respiratory ***,SARS-CoV-2 can be found in infected patients’stool,demonstrating the likelihood of transmission through the fecal-oral *** addition,liver function should be monitored during COVID-19,particularly in more severe *** review summarizes the evidence for extra-pulmonary manifestations,mechanisms,and management of COVID-19,particularly those related to the gastrointestinal tract and liver.

关键词： COVID-19 Angiotensin-converting enzyme 2 Gastrointestinal Inflammatory bowel disease Liver Management

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Design and Optimization of Photonic Crystal Fiber Based Sensor for Gas Condensate and Air Pollution Monitoring

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Photonic Sensors 2017年第3期7卷 234-245页

作者： md. Ibadul ISLAM Kawsar AHMED Shuvo SEN Sawrab CHOWDHURY Bikash Kumar PAUL md. Shadidul ISLAM Mohammad Badrul Alam MIAH sayed ASADUZZAMAN Department of Information and Communication Technology (ICT) Mawlana Bhashani Science and Technology University Santosh Tangail 1902 Bangladesh Group of Bio-photomatix Tangail 1902 Bangladesh Department of Software Engineering (SWE) Daffodil International University Sukrabad Dhaka 1207 Bangladesh

In this paper, a hexagonal shape photonic crystal fiber （H-PCF） has been proposed as a gas sensor of which both micro-structured core and cladding are organized by circular air cavities. The reported H-PCF has a single layer circular core which is surrounded by a five-layer hexagonal cladding. The overall pretending process of the H-PCF is completed by using a full vectorial finite element method （FEM） with perfectly matched layer （PML） boundary condition. All geometrical parameters like diameters and pitches of both core and cladding regions have fluctuated with an optimized structure. After completing the numerical analysis, it is clearly visualized that the proposed H-PCF exhibits high sensitivity with low confinement loss. The investigated results reveal the relative sensitivity of 56.65% and confinement loss of 2.31×10^-5 dB/m at the 1.33%tm wavelength. Moreover, effective area, nonlinearity, and V-parameter of the suggested PCF are also briefly described.

关键词： Relative sensitivity confinement loss gas sensor effective area nonlinearity and photonic crystal fiber

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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. Imdadul 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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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. Imdadul 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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Intelligent Slime Mould Optimization with Deep Learning Enabled Traffic Prediction in Smart Cities

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Computers, Materials & Continua 2022年第12期73卷 6563-6577页

作者： Manar Ahmed Hamza Hadeel Alsolai Jaber S.Alzahrani Mohammad Alamgeer Mohamed Mahmoud sayed abu Sarwar Zamani Ishfaq Yaseen Abdelwahed Motwakel Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science and Bioinformatics Singhania UniversityPacheri BariDistrict JhnujhunuRajasthanIndia Department of Architectural Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11835Egypt

Intelligent Transportation System(ITS)is one of the revolutionary technologies in smart cities that helps in reducing traffic congestion and enhancing traffic *** the help of big data and communication technologies,ITS offers real-time investigation and highly-effective traffic *** Flow Prediction(TFP)is a vital element in smart city management and is used to forecast the upcoming traffic conditions on transportation network based on past *** Network(NN)and Machine Learning(ML)models are widely utilized in resolving real-time issues since these methods are capable of dealing with adaptive data over a period of *** Learning(DL)is a kind of ML technique which yields effective performance on data classification and prediction *** this motivation,the current study introduces a novel Slime Mould Optimization(SMO)model with Bidirectional Gated Recurrent Unit(BiGRU)model for Traffic Prediction(SMOBGRU-TP)in smart ***,data preprocessing is performed to normalize the input data in the range of[0,1]using minmax normalization ***,BiGRUmodel is employed for effective forecasting of traffic in smart ***,the novelty of the work lies in using SMO algorithm to effectively adjust the hyperparameters of BiGRU *** proposed SMOBGRU-TP model was experimentally validated and the simulation results established the model’s superior performance in terms of prediction compared to existing techniques.

关键词： Smart cities traffic flow prediction slime mould optimization algorithm deep learning intelligent models

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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

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Towards the Advancement of Cashless Transaction: A Security Analysis of Electronic Payment Systems

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Journal of Computer and Communications 2022年第7期10卷 103-129页

作者： Iffath Tanjim Moon Muhammad Shamsuzzaman Muhammad Musfiqur Rahman Mridha abu sayed md. Mostafizur Rahaman Department of Computer Science and Engineering Begum Rokey University Rangpur Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

In recent decades, day-to-day lifestyle requires online payments as easy and simple solutions to several financial transactions, which makes the concept of Electronic payment Systems very popular in the growth of a cashless society. In fact, cashless transactions through simple mobile apps are not merely a concept anymore rather are implemented robustly and being used extensively. On the dark side, obvious financial benefits are making these apps vulnerable to being attacked, which can be successful through security breaches. These cybersecurity issues need to be traced out and resolved to make the financial transactions through an app secure and trustworthy. In this paper, several related papers are analyzed to trace out possible cybersecurity issues in the domain of Electronic Transaction System. The objective is to establish sufficient theoretical background to propose methodologies for measuring security issues and also identify the security strength of any FinTech application and provide standard security metrics.

关键词： Fintech Apps Cybersecurity Cashless Transaction Mobile Banking Electronic Payment

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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. Imdadul 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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Metaheuristics Enabled Clustering with Routing Scheme for Wireless Sensor Networks

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Computers, Materials & Continua 2022年第12期73卷 5491-5507页

作者： Mashael M.Asiri Saud S.Alotaibi Dalia H.Elkamchouchi Amira sayed A.Aziz Manar Ahmed Hamza Abdelwahed Motwakel abu Sarwar Zamani Ishfaq Yaseen Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Wireless Sensor Network(WSN)is a vital element in Internet of Things(IoT)as the former enables the collection of huge quantities of data in energy-constrained *** offers independent access to the target region and performs data collection in an effective *** energy constraints remain a challenging issue in WSN since it operates on in-built *** studies conducted earlier recommended that the energy spent on communication processmust be considerably reduced to improve the efficiency of *** organization and optimal selection of the routes are considered as NP hard optimization problems which can be resolved with the help of metaheuristic *** and routing are considered as effective approaches in enhancing the energy effectiveness and lifespan of *** this background,the current study develops an Improved Duck and Traveller Optimization(IDTO)-enabled cluster-based Multi-Hop Routing(IDTOMHR)technique for ***,IDTO algorithm is exploited for the selection of Cluster Head(CH)and construction of ***,Artificial Gorilla Troops Optimization(ATGO)technique is also used to derive an optimal set of routes to the *** clustering and routing approaches derive a fitness function with the inclusion of multiple input *** proposed IDTOMHR model was experimentally validated for its performance under different *** extensive experimental results confirmed the better performance of IDTOMHR model over other recent approaches.

关键词： Wireless sensor network clustering routing metaheuristics energy efficiency lifetime

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Design and Optimization of Photonic Crystal Fiber for Liquid Sensing Applications

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Photonic Sensors 2016年第3期6卷 279-288页

作者： md. Faizul Huq ARIF Kawsar AHMED sayed ASADUZZAMAN md. abul Kalam AZAD Department of Information and Communication Technology (ICT) Mawlana Bhashani Science and TechnologyUniversity (MBSTU) Tangail-1902 Bangladesh Department of Material and Metallurgical Engineering (MME) Bangladesh University of Engineering and TechnologyUniversity (BUET) Dkaka-l O00 Bangladesh

This paper proposes a hexagonal photonic crystal fiber （H-PCF） structure with high relative sensitivity for liquid sensing; in which both core and cladding are microstructures. Numerical investigation is carried out by employing the full vectorial finite element method （FEM）. The analysis has been done in four stages of the proposed structure. The investigation shows that the proposed structure achieves higher relative sensitivity by increasing the diameter of the innermost ring air holes in the cladding. Moreover, placing a single channel instead of using a group of tiny channels increases the relative sensitivity effectively. Investigating the effects of different parameters, the optimized structure shows significantly higher relative sensitivity with a low confinement loss.

关键词： Photonic crystal fiber (PCF) liquid sensor microstructure core sensitivity confinement loss

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