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Spatial distribution and source identification of heavy metal pollution in roadside surface soil:a study of Dhaka Aricha highway,Bangladesh

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Ecological Processes 2016年第1期5卷 16-31页

作者： fahad Ahmed A.N.M.Fakhruddin M.D.Toufick Imam Nasima khan Tanzir Ahmed khan Md.Mahfuzur Rahman Abu Tareq Mohammad Abdullah Department of Environmental Sciences Jahangirnagar UniversitySavarDhaka 1342Bangladesh Institute of Food Science&Technology(IFST) Bangladesh Council of Scientific&Industrial Research(BCSIR)DhakaBangladesh

Introduction:In this study,metal pollution and their sources in surface soils were evaluated by pollution indices and multivariate statistical techniques in association with a geographical information system(GIS).Methods:Surface soil samples were collected in dry season from different locations of Dhaka Aricha highway and analyzed by energy dispersive X-ray fluorescence(EDXRF).Results:Thirteen different metals were found in the tested *** indices are determined by enrichment factor in an order of Zr>Sn>P>Mn>Zn>Rb>Fe>Ba>Sr>Ti>K>Ca>*** resulting geoaccumulation index(Igeo)value shows the following order:Sn>Zr>P>Mn>Zn>Rb>Fe>Ba>Ti>Sr>K>Ca>*** factors(CFs)of the metals range from 1.422 to 3.979(Fe);0.213 to 1.089(Al);0.489 to 3.484(Ca);1.496 to 2.372(K);1.287 to 3.870(Ti);2.200 to 14.588(Mn);5.938 to 56.750(Zr);0.980 to 3.500(Sr);2.321 to 4.857(Rb);2.737 to 6.526(Zn);16.667 to 27.333(Sn);3.157 to 16.286(P);and 0.741 to 3.328(Ba).Pollution load index calculated from the CFs indicates that soils are strongly contaminated by Zr and *** component analysis(PCA)of parameters exhibits three major components.R-mode cluster analysis reveals three distinct groups in both site and metal basis clustering that shows a similar pattern with the ***:These results might be helpful for future monitoring of further increase of heavy metal concentrations in surface soils along highways.

关键词： Heavy metals Geoaccumulation index(I_(geo)) Contamination factor(CF) Pollution load index(PLI) Principal component analysis(PCA) Dhaka Aricha highway

Emerging trends of electrocatalytic technologies for renewable hydrogen energy from seawater:Recent advances,challenges,and techno-feasible assessment

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Journal of Energy Chemistry 2023年第5期80卷 658-688,I0014页

作者： Obaid fahad Aldosari Ijaz Hussain Zuhair Malaibari Department of Chemistry College of ScienceMajmaah UniversityP.O.Box 66Majmaah 11952Saudi Arabia Center for Refining&Advanced Chemicals King Fahd University of Petroleum&MineralsDhahran 31261Saudi Arabia Department of Chemical Engineering King Fahd University of Petroleum&MineralsDhahran 31261Saudi Arabia

Hydrogen has been regarded as a promising renewable and green energy source to meet energy needs and attain net-zero carbon *** electrolysis of seawater to make hydrogen is one of the fascinating developments of the twenty-first *** method uses abundant and relatively inexpensive seawater,as opposed to freshwater,which is rare and can be prohibitively *** recent years,significant research and advancements have been made in direct seawater electrolysis technology for hydrogen ***,producing highly effective and efficient electrocatalysts with long-term viability under harsh corrosive conditions remains a challenging and severe topic for large-scale seawater electrolysis *** is still a large accomplishment gap in understanding how to improve seawater electrolysis to increase hydrogen yields and prolong *** is,therefore,crucial to have a condensed knowledge of the tunable and inherent interactions between various electrocatalysts,covering electrolyzer types and paying particular attention to those with high efficiency,chemical stability,and *** extensive discussion is structured into a progression from noble metals to base metal compounds such as oxides,alloys,phosphides,chalcogenides,hydroxides,and nitrides,MXene-based complexes with a concise examination of hybrid *** addition,proton exchange membranes,anion exchange membranes,alkaline water electrolyzers,and high-temperature water electrolyzers were potential contributors to seawater’s *** extensive assessment of the techno-feasibility,economic insights,and future suggestions was done to commercialize the most efficient electrocatalytic systems for hydrogen *** review is anticipated to provide academics,environmentalists,and industrial researchers with valuable ideas for constructing and modifying seawater-based electrocatalysts.

关键词： Seawater splitting Hydrogen production Electrolysis Electrocatalysts Electrolyzers Techno-feasible analysis Review

A multi-delay model for pest control with awareness induced interventions — Hopf bifurcation and optimal control analysis

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International Journal of Biomathematics 2020年第6期13卷 113-134页

作者： fahad Al Basir Department of Mathematics A sansol Girls'College A sansol-713304West BengalIndia

Farming awareness is an important measure for pest controlling in agricultural *** delay in controlling pest may affect the *** delay occurs in organizing awareness campaigns,also time delay may takes place in becoming aware of the control strategies or implementing suitable controlling methods informed through social *** we have derived a mathematical model incorporating two time delays into the system and Holling type-II functional *** existence and the stability criteria of the equilibria are obtained in terms of the basic reproduction number and time *** changes occur through Hopf-bifurcation when time delays cross the critical *** control theory has been applied for cost-effectiveness of the delayed *** simulations are carried out to justify the analytical *** study shows that optimal farming awareness through radio,TV *** control the delay induced bifurcation in a cost-effective way.

关键词： Mathematical model Holling type-II functional response delay differential equation(DDE) basic reproduction number Hopf bifurcation optimal control

Sliding Mode Control-Based Autonomous Control of a Tri-rotor Unmanned Aerial Vehicle

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Guidance, Navigation and Control 2021年第3期1卷 52-75页

作者： Abid Raza fahad Mumtaz Malik Rameez khan Naveed Mazhar Hameed Ullah Nigar Ahmed Department of Electrical Engineering College of Electrical and Mechanical EngineeringNational University of Sciences and Technology46000IslamabadPakistan College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjingJiangsu 210016P.R.China

A nonlinear control technique for autonomous control of a tri-rotor unmanned aerial vehicle is presented in this ***,a comprehensive mathematical model is developed using the Newton–Euler approach for a tri-rotor,which is found to be highly nonlinear and ***,the equivalent input a±ne model is extracted by applying a suitable ***,the sliding mode control for trajectory tracking is chosen which is immune to matched external disturbances,parametric uncertainties,and modeling *** proposed controller performance has been veri¯ed for appropriate inputs under wind disturbances using MATLAB,and the simulation results are presented.

关键词： Autonomous control nonlinear control sliding mode control unmanned aerial vehicle tri-rotor

Calcium supplementation in colorectal cancer prevention:A systematic meta-analysis of adverse events

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BIOCELL 2022年第3期46卷 759-767页

作者： XUE MEI LUO SHAHANAVAJ khan ABDUL MALIK fahad M.ALDAKHEEL ANIS AHMAD CHAUDHARY SHOUKI BAZARBASHI FATEMEH TABATABAIE Department of General Surgery Mianzhu People’s Hospital of SichuanMianzhuChina Department of Pharmaceutics College of PharmacyKing Saud UniversityRiyadhSaudi Arabia Department of Biosciences Shri Ram Group of College(SRGC)MuzaffarnagarIndia Department of Health Sciences Novel Global Community Educational FoundationSydneyAustralia Department of Clinical Laboratory Sciences College of Applied Medical SciencesKing Saud UniversityRiyadhSaudi Arabia Department of Biology College of ScienceImam Mohammad Ibn Saud Islamic University(IMSUI)RiyadhSaudi Arabia Oncology Center King Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia Shiraz University of Medical Sciences ShirazIran

Despite the multiple systematic reviews and meta-analyses accumulating evidence on the preventive effect of calcium supplementation for colorectal cancer,most of the associated adverse effects are not systematically *** aim of the study is evaluating adverse events associated with calcium supplementation for colorectal cancer prevention through a systematic *** searched Medline,PubMed Central,EMBASE(Excerpta Medica database),Scopus,Cochrane Central Register of Controlled Trials,and Web of Science published in English from database inception up to 31 July *** the current systematic meta-analysis,we included human studies(including cohort studies,clinical trials,case-control studies)on supplementation of calcium in patients with or at risk of colorectal *** of the quality of included studies was performed by Jadad *** on the patient population,number of enrolled subjects in each group,dose of calcium supplementation,duration of calcium supplementation,and reported adverse events were *** data were pooled for incidence rates for any adverse event during the study period regardless of causality *** identified 6 studies,comprising 4583 participants that met the inclusion ***-analysis on pooled incidence rates for adverse event during study period showed no statistically significant increased risk for cancer(OR=0.92,95%CI:0.70–1.21,P=0.577;I^(2)=0.0%,P=0.731),coronary revascularization(OR=1.12,95%CI:0.79–1.59,P=0.492;I^(2)=0.0%,P=0.957),myocardial infarction(OR=0.81,95%CI:0.34–1.91,P=0.634;I^(2)=67.9%,P=0.047),stroke(OR=0.75,95%CI:0.42–1.33,P=0.332,I^(2)=0.00%,P=0.717),Transient Ischemic Attack(TIA)(OR=1.37,95%CI:0.28–6.51,P=0.692,I^(2)=81.9%,P=0.002),urolithiasis(OR=1.23,95%CI:0.75–2.01,P=0.410;I^(2)=0.0%,P=0.851),fracture(OR=0.98,95%CI:0.70–1.37,P=0.938;I^(2)=37.8%,P=0.152)and death(OR=1.05,95%CI:0.71–1.56,P=0.786,I^(2)=12.2%,P=0.317)in patients receiving calcium supplementation for colo

关键词： Colorectal cancer Calcium Supplement Adverse event Systematic reviewed Meta-analysis

Novel Coronavirus and Emerging Mental Health Issues—A Timely Analysis of Potential Consequences and Legal Policies Perspective

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Fudan Journal of the Humanities and Social Sciences 2021年第1期14卷 87-105页

作者： Mehran Idris khan Hafiz Abdul Rehman Saleem Muhammad fahad Anwar Yen-Chiang Chang School of Law Dalian Maritime UniversityDalian 116026Liaoning ProvinceChina Business Administration Department Faculty of Management SciencesILMA UniversityKarachi 75190Sindh ProvincePakistan Guanghua Law School Zhejiang UniversityHangzhouZhejiang ProvinceChina Department of Law University of SahiwalSahiwal 57000Punjab ProvincePakistan

The present outbreak of coronavirus disease 2019(COVID-19)has swiftly crossed borders,and inflicted the global mental health *** is also affecting peoples’daily behaviours,economics,prevention strategies and decision-making among policymakers,healthcare organisations and medical centres that may unintentionally weaken COVID-19 control strategies and lead to increased morbidity,as well as mental health care needs ***,this outbreak is leading to further health complications worldwide,such as stress,fear of the unknown,anger,anxiety,denial,depression symptoms,and *** all the resources used to counter the spread of the virus,further universal strategies are desirable to address the associated mental health *** present study uses the qualitative means to investigate the potential impact of COVID-19,the consequences and legal aspects,then recommend policy implications,in an attempt to cover any apparent *** presents a unique analysis of its kind on the policy and legal aspects of the ongoing pandemic,as regards mental *** concludes that there is an acute need to prioritising the health care and curative issues,strengthen awareness and address the psychological syndromes or similar complications afflicting members of the general public during this pandemic.

关键词： COVID-19 Mental health Potential consequences Legal aspects

Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things

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Computers, Materials & Continua 2022年第10期73卷 965-979页

作者： Sultan Ahmad Shakir khan Mohamed fahad Al.Ajmi Ashit Kumar Dutta L.Minh Dang Gyanendra Prasad Joshi Hyeonjoon Moon Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia College of Pharmacy King Saud UniversityRiyadh11451Saudi Arabia Department of Computer Science and Information System College of Applied SciencesAlMaarefa UniversityRiyadh11597Saudi Arabia Department of Information Technology FPT UniversityHo Chi Minh CityVietnam Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea

In recent times,Internet of Medical Things(IoMT)gained much attention in medical services and healthcare management *** healthcare sector generates massive volumes of data like personal details,historical medical data,hospitalization records,and discharging records,IoMT devices too evolved with potentials to handle such high quantities of *** and security of the data,gathered by IoMT gadgets,are major issues while transmitting or saving it in *** advancements made in Artificial Intelligence(AI)and encryption techniques find a way to handle massive quantities of medical data and achieve *** this view,the current study presents a new Optimal Privacy Preserving and Deep Learning(DL)-based Disease Diagnosis(OPPDL-DD)in IoMT ***,the proposed model enables IoMT devices to collect patient data which is then preprocessed to optimize *** order to decrease the computational difficulty during diagnosis,Radix Tree structure is *** addition,ElGamal public key cryptosystem with Rat Swarm Optimizer(EIG-RSO)is applied to encrypt the *** the transmission of encrypted data to cloud,respective decryption process occurs and the actual data gets ***,a hybridized methodology combining Gated Recurrent Unit(GRU)with Convolution Neural Network(CNN)is exploited as a classification model to diagnose the *** sets of simulations were conducted to highlight the performance of the proposed model on benchmark *** experimental outcomes ensure that the proposed model is superior to existing methods under different measures.

关键词： Internet of medical things privacy security encryption radix tree deep learning

Classification of Electrocardiogram Signals for Arrhythmia Detection Using Convolutional Neural Network

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Computers, Materials & Continua 2023年第12期77卷 3817-3834页

作者： Muhammad Aleem Raza Muhammad Anwar Kashif Nisar Ag.Asri Ag.Ibrahim Usman Ahmed Raza Sadiq Ali khan fahad Ahmad Department of Computer Science and IT Lahore Lead UniversityLahore54000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota KinabaluSabah88400Malaysia Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan Department of Basic Sciences Deanship of Common First YearJouf UniversitySakakaAljouf72341Saudi Arabia

With the help of computer-aided diagnostic systems,cardiovascular diseases can be identified timely manner to minimize the mortality rate of patients suffering from cardiac ***,the early diagnosis of cardiac arrhythmia is one of the most challenging *** manual analysis of electrocardiogram(ECG)data with the help of the Holter monitor is ***,the Convolutional Neural Network(CNN)is receiving considerable attention from researchers for automatically identifying ECG *** paper proposes a 9-layer-based CNN model to classify the ECG signals into five primary categories according to the American National Standards Institute(ANSI)standards and the Association for the Advancement of Medical Instruments(AAMI).The Massachusetts Institute of Technology-Beth Israel Hospital(MIT-BIH)arrhythmia dataset is used for the *** proposed model outperformed the previous model in terms of accuracy and achieved a sensitivity of 99.0%and a positivity predictively 99.2%in the detection of a Ventricular Ectopic Beat(VEB).Moreover,it also gained a sensitivity of 99.0%and positivity predictively of 99.2%for the detection of a supraventricular ectopic beat(SVEB).The overall accuracy of the proposed model is 99.68%.

关键词： Arrhythmia ECG signal deep learning convolutional neural network physioNet MIT-BIH arrhythmia database

Prediction of Time Series Empowered with a Novel SREKRLS Algorithm

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Computers, Materials & Continua 2021年第5期67卷 1413-1427页

作者： Bilal Shoaib Yasir Javed Muhammad Adnan khan fahad Ahmad Rizwan Majeed Muhammad Saqib Nawaz Muhammad Adeel Ashraf Abid Iqbal Muhammad Idrees School of Computer Science Minhaj University LahoreLahore54000Pakistan Prince Sultan University Riyadh11586Saudi Arabia Department of Computer Science Riphah International University Lahore CampusLahore54000Pakistan Department of Basic Sciences Deanship of Common First YearJouf UniversitySakakaAljouf72341Saudi Arabia Directorate of IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science University of Management and TechnologyLahore54770Pakistan PUCIT University of the PunjabLahore54000Pakistan

For the unforced dynamical non-linear state–space model,a new Q1 and efficient square root extended kernel recursive least square estimation algorithm is developed in this *** proposed algorithm lends itself towards the parallel implementation as in the FPGA *** the help of an ortho-normal triangularization method,which relies on numerically stable givens rotation,matrix inversion causes a computational burden,is *** computation possesses many excellent numerical properties such as singularity,symmetry,skew symmetry,and triangularity is achieved by using this *** proposed method is validated for the prediction of stationary and non-stationary Mackey–Glass Time Series,along with that a component in the x-direction of the Lorenz Times Series is also predicted to illustrate its *** the learning curves regarding mean square error(MSE)are witnessed for demonstration with prediction performance of the proposed algorithm from where it’s concluded that the proposed algorithm performs better than *** new SREKRLS based design positively offers an innovative era towards non-linear systolic arrays,which is efficient in developing very-large-scale integration(VLSI)applications with non-linear input *** experiments are carried out to validate the reliability,effectiveness,and applicability of the proposed algorithm and with different noise levels compared to the Extended kernel recursive least-squares(EKRLS)algorithm.

关键词： Kernel methods square root adaptive filtering givens rotation mackey glass time series prediction recursive least squares kernel recursive least squares extended kernel recursive least squares square root extended kernel recursive least squares algorithm