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Impact of the COVID‑19 outbreak on the US equity sectors:Evidence from quantile return spillovers

Financial Innovation 2021年第1期7卷 300-322页

作者： Syed jawad Hussain Shahzad Elie Bouri Ladislav Kristoufek Tareq Saeed Montpellier Business School University of MontpellierMontpellier Research in ManagementMontpellierFrance South Ural State University ChelyabinsRussian Federation Adnan Kassar School of Business Lebanese American UniversityBeirutLebanon Institute of Information Theory and Automation The Czech Academy of SciencesPragueCzech Republic Institute of Economic Studies Faculty of Social SciencesCharles UniversityPragueCzech Republic Nonlinear Analysis and Applied Mathematics(NAAM)‑Research Group Department of MathematicsFaculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia

The aim of this study is to examine the extreme return spillovers among the US stock market sectors in the light of the COVID-19 *** this end,we extend the now-traditional Diebold-Yilmaz spillover index to the quantiles domain by building networks of generalized forecast error variance decomposition of a quantile vector autoregressive model specifically for extreme ***,we control for common movements by using the overall stock market index as a common factor for all sectors and uncover the effect of the COVID-19 outbreak on the dynamics of the *** results show that the network structure and spillovers differ considerably with respect to the market *** stable times,the network shows a nice sectoral clustering structure which,however,changes dramatically for both adverse and beneficial market conditions constituting a highly connected network *** pandemic period itself shows an interesting restructuring of the network as the dominant clusters become more tightly connected while the rest of the network remains well *** sectoral topology thus has not collapsed into a unified market during the pandemic.

关键词： Quantile return spillovers US equity sector indices COVID-19 outbreak Granger causality Global risk aversion

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Formulas for Coefficients of Hundred Cyclotomics and Numbers Battle

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American Journal of Computational Mathematics 2019年第2期9卷 97-115页

作者： jawad Squalli Superior Normal School of Casablanca Casablanca Morocco

In this paper, we will establish a formula for calculating the 3144 coefficients coe(n, i) of the first hundred cyclotomic of index?n in xi. We will only determine 1003 for an index n odd and a degree . The others will be deduced, we’ll see how. The formula is , without exception if u(n)=-1?or if 4 doesn’t divide and with its 165 exceptions of which 7 when u(n)=0?and 158 when u(n)=1?that will be shared in 154 and 4 pairs (n, i), which we will specify the conditions and values of the coefficients. According to u(n), according to the class of i modulo p, the first factor of the prime factor decomposition of n when u(n)=1?and according to gcd(n, i), the formula will or will not be valid and replaced otherwise by the good value that will be 0 for 152 pairs (n,i) or 1 in the 13 other exceptions.

关键词： Cyclotomic Polynomial Coefficient Euler Mobius Maple GCD Prime Number

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A Highly Secured Image Encryption Scheme using Quantum Walk and Chaos

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Computers, Materials & Continua 2022年第10期73卷 657-672页

作者： Muhammad Islam Kamran Muazzam A.Khan Suliman A.Alsuhibany Yazeed Yasin Ghadi Arshad Jameel Arif jawad Ahmad Department of Computer Science Quaid-i-Azam UniversityIslamabad45320Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science and Software Engineering Al Ain UniversityAbu Dhabi15551UAE Institute for Energy and Environment University of StrathclydeGlasgowG11XQUK School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK

The use of multimedia data sharing has drastically increased in the past few decades due to the revolutionary improvements in communication technologies such as the 4th generation(4G)and 5th generation(5G)*** have proposed many image encryption algorithms based on the classical random walk and chaos theory for sharing an image in a secure *** of the classical random walk,this paper proposes the quantum walk to achieve high image *** random walk exhibits randomness due to the stochastic transitions between states,on the other hand,the quantum walk is more random and achieve randomness due to the superposition,and the interference of the wave *** proposed image encryption scheme is evaluated using extensive security metrics such as correlation coefficient,entropy,histogram,time complexity,number of pixels change rate and unified average intensity *** experimental results validate the proposed scheme,and it is concluded that the proposed scheme is highly secured,lightweight and computationally *** the proposed scheme,the values of the correlation coefficient,entropy,mean square error(MSE),number of pixels change rate(NPCR),unified average change intensity(UACI)and contrast are 0.0069,7.9970,40.39,99.60%,33.47 and 10.4542 respectively.

关键词： Cryptography chaotic maps logistic map quantum walk security

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Business Blockchain Suitability Determinants: Decision-Making through an Intuitionistic Fuzzy Method

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Computer Systems Science & Engineering 2023年第11期47卷 1665-1690页

作者： Tomader Almeshal jawad Berri Tarifa Almulhim Areej Alhogail Emam Ahmed Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadh11451Saudi Arabia Department of Quantitative Methods School of BusinessKing Faisal UniversityAl-Ahsa31982Saudi Arabia Faculty of Computer Science and Engineering King Salman International UniversitySouth SinaiEgypt

Blockchain is one of the innovative and disruptive technologies that has a wide range of applications in multiple industries beyond *** widespread adoption of blockchain technology in various industries has shown its potential to solve challenging business problems,as well as the possibility to create new business models which can increase a firm’s *** to the novelty of the technology,whereby many companies are still exploring potential use cases,and considering the complexity of blockchain technology,which may require huge changes to a company’s existing systems and processes,it is important for companies to carefully evaluate suitable use cases and determine if blockchain technology is the best solution for their specific *** research aims to provide an evaluation framework that determines the important dimensions of blockchain suitability assessment by identifying the key determinants of suitable use cases in a business *** this paper,a novel approach that utilizes both qualitative(Delphi method)and quantitative(fuzzy set theory)methods has been proposed to objectively account for the uncertainty associated with data collection and the vagueness of subjective *** work started by scanning available literature to identify major suitability dimensions and collected a range of criteria,indicators,and factors that had been previously identified for related *** opinions were then gathered using a questionnaire to rank the importance and relevance of these elements to suitability ***,the data were analyzed and we proceeded to integrate multi-criteria group decision-making(MCGDM)and intuitionistic fuzzy set(IFS)*** findings demonstrated a high level of agreement among experts,with the model being extremely sensitive to variances in expert ***,the results helped to refine and select the most relevant suitability determinants under three important dimensions:fu

关键词： Blockchain business blockchain use cases suitability assessment multi-criteria group decision-making fuzzy Delphi intuitionistic fuzzy set

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Anti-hypercholesterolemic and anti-hyperglycaemic effects of conventional and supercritical extracts of black cumin(Nigella sativa)

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Asian Pacific Journal of Tropical Biomedicine 2017年第11期7卷 1014-1022页

作者： Muhammad jawad Iqbal Masood Sadiq Butt Mir Muhammad Nasir Qayyum Hafiz Ansar Rasul Suleria National Institute of Food Science and Technology Faculty of FoodNutrition and Home SciencesUniversity of AgricultureFaisalabadPakistan Department of Agriculture and Food Technology Karakoram International UniversityGilgit-BaltistanPakistan UQ Diamantina Institute Translational Research InstituteFaculty of MedicineThe University of Queensland37 Kent Street WoolloongabbaBrisbaneQLD 4102Australia Department of Food NutritionDietetics and HealthKansas State UniversityManhattanKS 66506USA

Objective: To explore the hypoglycaemic and hypocholesterolemic potential of conventional and supercritical extracts of black ***: Purposely, rat modelling was carried out for 2 months by designing three studies i.e. study Ⅰ(normal rats), study Ⅱ(hyperglycaemic rats) and study Ⅲ(hypercholesterolemic rats). Each study was further divided into three groups based on diet ***, functional diet(contained extract of black cumin prepared by using conventional solvent) and nutraceutical diet(contained extract of black cumin prepared by supercritical fluid extraction system).Results: During whole trial, an abating trend was observed in the level of serum cholesterol with maximum reduction(12.8%) in nutraceutical group of study Ⅲ. Low density lipoprotein and triglyceride level was also lowered maximum in study Ⅲ as17.1% and 11.6%, respectively. Whereas, highest decline in glucose level was in nutraceutical group of study Ⅱ as 11.2%.Conclusions: Inclusion of black cumin extracts in diet significantly lowers the occurrence of hyperglycaemia and hypercholesterolaemia. Furthermore, hypoglycaemic and hypocholesterolemic potential of nutraceutical diet is more prominent as compared to functional diet.

关键词： Black cumin Functional food Nutraceuticals Supercritical extract Hyperglycaemia Hypercholesterolaemia

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Hemodynamic Response Detection Using Integrated EEG-fNIRS-VPA for BCI

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Computers, Materials & Continua 2022年第1期70卷 535-555页

作者： Arshia Arif M.jawad Khan Kashif Javed Hasan Sajid Saddaf Rubab Noman Naseer Talha Irfan Khan National University of Sciences and Technology(NUST) IslamabadPakistan Intelligent Robotics Lab National Center of Artificial IntelligenceNational University of Sciences and Technology(NUST)IslamabadPakistan Department of Mechatronics Engineering Air UniversityIslamabadPakistan Institute of Space Technology IslamabadPakistan

For BCI systems,it is important to have an accurate and less complex architecture to control a device with enhanced *** this paper,a novel methodology for more accurate detection of the hemodynamic response has been developed using a multimodal brain-computer interface(BCI).An integrated classifier has been developed for achieving better classification accuracy using two *** integrated EEG-fNIRS-based vector-phase analysis(VPA)has been *** open-source dataset collected at the TechnischeUniversit鋞Berlin,including simultaneous electroencephalography(EEG)and functional near-infrared spectroscopy(fNIRS)signals of 26 healthy participants during n-back tests,has been used for this *** and physiological noise removal has been done using preprocessing techniques followed by individually detecting activity in both *** resting state threshold circle,VPA has been used to detect a hemodynamic response in fNIRS signals,whereas phase plots for EEG signals have been constructed using Hilbert Transform to detect the activity in each *** threshold circles are drawn in the vector plane,where each circle is drawn after task completion in each trial of EEG ***,both processes are integrated into one vector-phase plot to get combined detection of hemodynamic response for *** of this study illustrate that the combined EEG-fNIRS VPA yields considerably higher average classification accuracy,that is 91.35%,as compared to other classifiers such as support vector machine(SVM),convolutional neural networks(CNN),deep neural networks(DNN)and VPA(with dual-threshold circles)with classification accuracies 82%,89%,87%and 86%*** of this research demonstrate that improved classification performance can be feasibly achieved using multimodal VPA for EEG-fNIRS hybrid data.

关键词： EEG-fNIRS hybrid BCI vector-phase analysis hemodynamic response detection

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CVaR-based Reserve Optimization for Isolated Multi-energy Complementary Generation Systems in Mixed Time Scale

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CSEE Journal of Power and Energy Systems 2024年第6期10卷 2597-2609页

作者： Wanxiao Jiang Jichun Liu jawad Shafqat Yi Lei College of Electrical Engineering Sichuan UniversityChengdu 610065China

With the rapid growth of photovoltaic integration,the volatility and uncertainty of intermittent photovoltaic injection will dramatically reduce system operation reliability from the generation *** system operator may face certain financial risks brought by unexpected power failure under low operation ***,maintaining sufficient power reserve to meet system operation reliability and reduce risk,especially in an isolated system,is ***,the traditional reserve preparation strategy fails to consider the uncertainties of the power generation under the high penetration levels of emerging renewable energy resources.A novel reserve preparation strategy for an isolated system is developed in this paper using a twostage *** the first stage,the optimal hourly scheduling of an isolated system is *** the second stage,a minute level conditional value-at-risk(CVaR)based model is established where the uncertainty of the reserve requirement is introduced with the chance *** proposed discretized step transformation(DST)and subtraction type convolution(STC)methods are utilized to convert the model into mixedinteger linear programming,and finally solved by applying the CPLEX *** IEEE 39-bus system is used as the test case to validate the feasibility and effectiveness of the proposed two-stage model.

关键词： Isolated multi-energy complementary generation system renewable energy reserve risk assessment

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An Immutable Framework for Smart Healthcare Using Blockchain Technology

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Computer Systems Science & Engineering 2023年第7期46卷 165-179页

作者： Faneela Muazzam A.Khan Suliman A.Alsuhibany Walid El-Shafai Mujeeb Ur Rehman jawad Ahmad Department of Computer Science Quaid-i-Azam UniversityIslamabad45320Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Computer Science Security Engineering LaboratoryPrince Sultan UniversityRiyadh11586Saudi Arabia James Watt School of Engineering University of GlasgowG128QQUK School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK

The advancements in sensing technologies,information processing,and communication schemes have revolutionized the healthcare *** Healthcare Records(EHR)facilitate the patients,doctors,hospitals,and other stakeholders to maintain valuable data and medical *** traditional EHRs are based on cloud-based architectures and are susceptible to multiple cyberattacks.A single attempt of a successful Denial of Service(DoS)attack can compromise the complete healthcare *** article introduces a secure and immutable blockchain-based framework for the Internet of Medical Things(IoMT)to address the stated *** proposed architecture is on the idea of a lightweight private blockchain-based network that facilitates the users and hospitals to perform multiple healthcare-related operations in a secure and trustworthy *** efficacy of the proposed framework is evaluated in the context of service execution time and *** experimental outcomes indicate that the proposed design attained lower service execution time and higher throughput under different control parameters.

关键词： Blockchain technology healthcare applications cybersecurity services IoMT DoS EHR

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Classification of Citrus Plant Diseases Using Deep Transfer Learning

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Computers, Materials & Continua 2022年第1期70卷 1401-1417页

作者： Muhammad Zia Ur Rehman Fawad Ahmed Muhammad Attique Khan Usman Tariq Sajjad Shaukat Jamal jawad Ahmad Iqtadar Hussain Department of Electrical Engineering HITEC UniversityTaxilaPakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia School of Computing Edinburgh Napier UniversityUK Department of Mathematics Statisticsand PhysicsQatar UniversityDoha2713Qatar

In recent years,the field of deep learning has played an important role towards automatic detection and classification of diseases in vegetables and *** in turn has helped in improving the quality and production of vegetables and *** fruits arewell known for their taste and nutritional *** are one of the natural and well known sources of vitamin C and planted *** are several diseases which severely affect the quality and yield of citrus *** this paper,a new deep learning based technique is proposed for citrus disease *** different pre-trained deep learning models have been used in this *** increase the size of the citrus dataset used in this paper,image augmentation techniques are ***,to improve the visual quality of images,hybrid contrast stretching has been *** addition,transfer learning is used to retrain the pre-trainedmodels and the feature set is enriched by using feature *** fused feature set is optimized using a meta-heuristic algorithm,the Whale Optimization Algorithm(WOA).The selected features are used for the classification of six different diseases of citrus *** proposed technique attains a classification accuracy of 95.7%with superior results when compared with recent techniques.

关键词： Citrus plant disease classification deep learning feature fusion deep transfer learning

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High surface area and mesoporous activated carbon from KOH-activated dragon fruit peels for methylene blue dye adsorption:Optimization and mechanism study

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Chinese Journal of Chemical Engineering 2021年第4期34卷 281-290页

作者： Ali H.jawad Ahmed Saud Abdulhameed Lee D.Wilson Syed Shatir A.Syed-Hassan Zeid A.ALOthman Mohammad Rizwan Khan Faculty of Applied Sciences Universiti Teknologi MARA40450 Shah AlamSelangorMalaysia Department of Medical Instrumentation Engineering Al-Mansour University CollegeBaghdadIraq Department of Chemistry University of SaskatchewanSaskatoonSaskatchewan S7N 5C9 Canada Faculty of Chemical Engineering Universiti Teknologi MARA40450 Shah AlamSelangorMalaysia Chemistry Department College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia

In this study,an alternative precursor for production of activated carbon was introduced using dragon fruit(Hylocereus costaricensis)peel(DFP).Moreover,KOH was used as a chemical activator in the thermal carbonization process to convert DFP into activated carbon(DFPAC).In order to accomplish this research,several approaches were employed to examine the elemental composition,surface properties,amorphous and crystalline nature,essential active group,and surface morphology of the *** BrunauerEmmettTeller test demonstrated a mesoporous structure of the DFPAC has a high surface area of 756.3 m2g *** cationic dye Methylene Blue(MB)was used as a probe to assess the efficiency of DFPAC towards the removal of MB dye from aqueous *** effects of adsorption input factors(*** dose(A:0.040.12 g L 1),pH(B:310),and temperature(C:3050℃))were investigated and optimized using statistical analysis(*** design(BBD)).The adsorption kinetic model can be best categorized as the pseudofirst order(PFO).Whereas,the adsorption isotherm model can be best described by Langmuir model,with maximum adsorption capacity of DFPAC for MB dye was 195.2 mg g 1 at 50℃.The adsorption mechanism of MB by DFPAC surface was attributed to the electrostatic interaction,pp interaction,and ***,the results support the ability of DFP to be a promising precursor for production of highly porous activated carbon suitable for removal of cationic dyes(***).

关键词： Statistical modeling Activated carbon Dragon fruit peels Box-Behnken design Methylene blue dye Adsorption

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