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Hydrobiological variables as a regulatory factor on the abundance of heterotrophic flagellates in an urban pond

Journal of Oceanology and Limnology 2019年第3期37卷 1030-1036页

作者： BEGUM Moni jewel md.abu sayed HAQUE md.Ayenuddin KHATUN Mst.Samsad Department of Fisheries Faculty of Agriculture University of Rajshahi

The seasonal abundance of flagellates has been monitored over a period of 1 year from December 2013 to November 2014(divided into 4 conjugative seasons namely winter,spring,summer,and autumn)in an experimental pond located in Rajshahi City Corporation area,*** our knowledge,this study is the fi rst to shed light on the occurrence and possible interrelationships among heterotrophic flagellates(HF),bacteria and zooplankton in Bangladesh and the result obtained by this study will be beneficial for similar water ecosystem all over the *** methods were used to determine the prescribed hydrological parameters and zooplankton cell *** HF abundance(14 346.00 cells/mL)was found in the spring and the minimum(5 215.00 cells/mL)occurred in the *** to HF,significantly(Pabundance was found during the winter(782.00±47.62 cells/mL)and the lowest value was found in the autumn(448.00±39.15 cells/mL).Whereas similar to the HF,total bacterial abundance was significantly higher during the spring((2.25±1.05)×10^5 cells/mL)and lower in the summer((0.79±0.06)×10^5 cells/mL).Multivariate analyses(ANOSIM and mdS)have shown significant seasonal differences for cell numbers where mdS ordination plot and cluster analysis based on similarity in the genera abundance of HF revealed overlapping condition between winter and *** correspondence analysis(CCA)also showed a distinct separation among the genera based on the prevailing hydrological situation and indicated that temperature,pH,BOD5,and NO3^-were the most important environmental variables in determining the observed variation in HF community *** the biological factors,zooplankton showed negative but total bacteria were positively correlated with HF abundance.

关键词： heterotrophic flagellates abundance hydrobiological factors urban pond

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Insights into Manipulation: Unveiling Tampered Images Using Modified ELA, Deep Learning, and Explainable AI

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Journal of Computer and Communications 2024年第6期12卷 135-151页

作者： md. Mehedi Hasan md. Masud Rana abu sayed md. Mostafizur Rahaman Department of Information and Communication Technology Bangladesh University of Professionals Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

Digital image forgery (DIF) is a prevalent issue in the modern age, where malicious actors manipulate images for various purposes, including deception and misinformation. Detecting such forgeries is a critical task for maintaining the integrity of digital content. This thesis explores the use of Modified Error Level Analysis (ELA) in combination with a Convolutional Neural Network (CNN), as well as, Feedforward Neural Network (FNN) model to detect digital image forgeries. Additionally, incorporation of Explainable Artificial Intelligence (XAI) to this research provided insights into the process of decision-making by the models. The study trains and tests the models on the CASIA2 dataset, emphasizing both authentic and forged images. The CNN model is trained and evaluated, and Explainable AI (SHapley Additive exPlanation— SHAP) is incorporated to explain the model’s predictions. Similarly, the FNN model is trained and evaluated, and XAI (SHAP) is incorporated to explain the model’s predictions. The results obtained from the analysis reveals that the proposed approach using CNN model is most effective in detecting image forgeries and provides valuable explanations for decision interpretability.

关键词： IFD DIF ELA CNN FNN XAI SHAP CASIA2.0

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Structural and Functional Annotation of Hypothetical Protein of Fusobacterium nucleatum Strain MJR7757B: An in Silico Approach

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Computational Molecular Bioscience 2024年第1期14卷 17-33页

作者： md. Isrfil Hossen Fouzia Mostafa Nusrat Jahan Jannatul Ferdaus Amgad Albahi sayed Mashequl Bari College of Food Science and Technology Huazhong Agricultural University Wuhan China Department of Crop Science and Technology Rajshahi University Rajshahi Bangladesh Abdul Malek Ukil Medical College Noakhali Bangladesh Department of Medicine IBN Sina Medical College Dhaka Bangladesh National Food Research Centre Khartoum Sudan Department of Aquatic Animal Health Management Sher-e-Bangla Agricultural University Dhaka Bangladesh

Fusobacterium nucleatum is an anaerobic, commensal, gram-negative oral bacterium that is carcinogenic and causes a wide range of human diseases. The present study focused on the analysis of the hypothetical protein, HMPREF3221_01179, derived from F. nucleatum strain MJR7757B, employing various computational methods to anticipate both its structure and functional characteristics. NCBI conserved domain analysis, NCBI BLASTp and MEGA Phylogenetic tree study characterize the target protein as an outer membrane efflux protein (ToIC family) which facilitate the bacterial transmembrane transport. With a molecular weight of 52120.02 Da, an isoelectric point (pI) of 8.33, and an instability index of 29.47, the protein is anticipated to exhibit good solubility in the extracellular space and crucial stability for pharmaceutical applications. The protein’s structure meets quality standards during the construction and refinement of its 3D model. The efflux inhibitor Arginine beta-naphthylamide exhibits a significant binding affinity (-7.1 kcal/mol) to the binding site of the target protein. The in-silico analysis improves the understanding of the protein and facilitates future investigations into therapeutic medication.

关键词： Fusobacterium nucleatum In Silico Bacteria Hypothetical Protein Molecular Docking

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起始联合降脂策略对心内科门诊“极高危ASCVD”患者疗效及安全性观察——真实世界的前瞻性队列研究

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中国临床药理学与治疗学 2024年第8期29卷 907-916页

作者：赵震宇李媛郭宇轩毛萧萧 md sayed Ali Sheikh 夏珂中南大学湘雅医院临床药理研究所中南大学湘雅医院心血管内科湖南长沙410008 Internal Medicine Department CardiologyCollege of MedicineJouf UniversitySakaka 72388Saudi Arabia

目的:在真实世界的前瞻性队列研究中观察心内科门诊“极高危ASCVD”患者在治疗起始阶段采用联合降脂策略的疗效与安全性。方法:连续入组2021年1月至6月在湘雅医院心内科高脂血症专病门诊就诊的“极高危ASCVD”患者,根据其实际降脂策略... 详细信息

目的:在真实世界的前瞻性队列研究中观察心内科门诊“极高危ASCVD”患者在治疗起始阶段采用联合降脂策略的疗效与安全性。方法:连续入组2021年1月至6月在湘雅医院心内科高脂血症专病门诊就诊的“极高危ASCVD”患者,根据其实际降脂策略分为三组:阿托伐他汀单药组;阿托伐他汀联合依折麦布组;阿托伐他汀联合依洛尤单抗组。主要观察终点为治疗一个月后低密度脂蛋白胆固醇(LDL-C)、脂蛋白a[Lp(a)]、非-HDL-C变化,次要终点为总胆固醇(TC)、甘油三酯(TG)、LDL-C、超敏C反应蛋白(hs-CRP)变化及安全性指标。结果:无论哪种联合方式,在“极高危ASCVD”患者降脂起始阶段联合降脂治疗的疗效均显著优于阿托伐他汀单药组:LDL-C、Log[Lp(a)]、非-HDL-C、TC的降幅更大,差异均有统计学意义(均P0.05)。以“LDL-C<1.4 mmol/L或<1.8 mmol/L”作为降脂达标的标准时,两组联合降脂治疗的LDL-C达标率均高于阿托伐他汀单药组,差异均有统计学意义(均P<0.05);阿托伐他汀联合依洛尤单抗组的LDL-C达标率高于阿托伐他汀联合依折麦布组,差异均有统计学意义(均P<0.05)。单独或联合“LDL下降超过50%”的降幅为达标标准,三组均无人能达标。治疗后三组间的肝脏转氨酶水平变化差异均无统计学意义(均P<0.05);三组间心肌酶同工酶(CK-MB)均下降,但差异无统计学意义(P<0.05)。与阿托伐他汀单药组相比,两联合降脂组治疗组的血糖均下降,差异具有统计学意义(P<0.05);阿托伐他汀联合依折麦布组的血糖比阿托伐他汀联合依洛尤单抗组的降幅更大,差异有统计学意义(P<0.05)。结论:起始联合降脂治疗1个月对心内科门诊“极高危ASCVD”患者的降脂效果及LDL-C的达标率优于阿托伐他汀单药组。以LDL-C<1.4 mmol/L或<1.8 mmol/L为降脂达标目标时,阿托伐他汀联合依洛尤单抗组治疗1个月后LDL-C达标率高于联合依折麦布组;以“LDL下降超过50%”的降幅作为降脂达标标准时,1个月内很难达标。门诊“极高危ASCVD”患者采用起始联合的降脂治疗1个月无不良反应。起始联合降脂策略可用于心内科门诊“极高危ASCVD”患者中LDL-C数值需早期达标的人群,阿托伐他汀联合依洛尤单抗可用于需在1个月内LDL-C<1.4 mmol/L或<1.8 mmol/L的人群。

关键词：起始联合降脂极高危ASCVD 真实世界前瞻性队列研究早期达标

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Solution processed high performance perovskite quantum dots/ZnO phototransistors

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Nano Research 2022年第4期15卷 3660-3666页

作者： md Mehedi Hasan Eric Moyen jewel Kumer Saha md Mobaidul Islam Arqum Ali Jin Jang Advanced Display Research Center(ADRC) Department of Information DisplayKyung Hee University26Kyungheedae-roDongdaemun-guSeoul 02447Republic of Korea

Phototransistors that can detect visible light have been fabricated using solution processed zinc oxide channel/zirconium oxide gate insulator thin film transistors(TFTs)and room temperature synthesized perovskite quantum dots(PeQDs)as active *** ZnO thin film transistors did not show a photocurrent under visible light ***,ZnO TFTs decorated with PeQDs exhibited enhanced photocurrent upon exposure to visible *** device had a responsivity of 567 A/W(617 A/W),a high detectivity of 6.59×10^(13)Jones(1.85×10^(14)J)and a high sensitivity of 10^(7)(10^(8))under green(blue)light at a low drain voltage of 0.1 *** high photo-responsivity and detectivity under green light resulted from the combination of short ligands in the QDs films and the high mobility of the spray coated ZnO *** results are relevant for the development of low cost and low energy consumption phototransistors working in the visible range.

关键词： ZnO thin film transistors perovskite quantum dots photo-detectors photo-transistors

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Experimental Investigation on Saline Water Purification Using Reverse Osmosis by a Novus Biomimetic Membrane

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Journal of Bionic Engineering 2022年第3期19卷 816-836页

作者： Yasin Edmam Iman Nadim Ahmed sayed abul Monsur Anachh Kazi abu Manjur Department of Civil Engineering Mymensingh Engineering CollegeUniversity of DhakaMymensingh2208Bangladesh Department of Civil Engineering Dhaka University of Engineering&TechnologyGazipur1707Bangladesh

A substantial amount of Earth’s water is inadequate for human consumption while local demand is outstripping traditional supplies in many world regions;thereby,brackish and seawater treatment has become a *** investigation suggested a complete design of an RO-based desalination filter with a multilayer biomimetic *** study demonstrated a comprehensive method for experimentally fabricating a proprietary biomaterial-based multilayer nano-porous *** analysis revealed that Silk Nano-Fibril(SNF)and Hydroxyapatite(HAP)extracted from Bombyx Mori silkworm cocoons may be utilized to manufacture highly methodical multilayer membranes by incorporating protein-self-assembly and ***’s aquaporin layer containing lipid-bilayers has rapid water permeability and high efficacy at eliminating salt ions and *** 4µm thick SNF/HAP membrane showed a considerable decrease in salinity,with a salt rejection of 93.33%.The proposed membrane had a saline water permeability of 6.58 LMH/bar,almost 61.09%higher than conventional TFC *** barrier and spiral-wrapped filter architecture of the membrane enable low fouling and self-cleaning *** schematic filter design and biomimetic fabrication of the SNF/HAP membrane have formulated a conceptual framework that might direct to the broad-scale,low-cost RO water purification filters,increasing the efficiency of water desalination and boosting the effectiveness of water treatment technologies to reduce potable water scarcity.

关键词： Desalination applications Reverse osmosis membrane architecture Biomimetic synthesis Nano-filtration Water purification

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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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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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