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machine Learning Approach for COVID-19 Detection on Twitter

Computers, materials & Continua 2021年第8期68卷 2231-2247页

作者： Samina Amin m.Irfan Uddin Heyam H.Al-Baity m.ali zeb m.Abrar Khan Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Information Technology College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

Social networking services(SNSs)provide massive data that can be a very influential source of information during pandemic *** study shows that social media analysis can be used as a crisis detector(e.g.,understanding the sentiment of social media users regarding various pandemic outbreaks).The novel Coronavirus Disease-19(COVID-19),commonly known as coronavirus,has affected everyone worldwide in *** Twitter data have revealed the status of the COVID-19 outbreak in the most affected *** study focuses on identifying COVID-19 patients using tweets without requiring medical records to find the COVID-19 pandemic in Twitter messages(tweets).For this purpose,we propose herein an intelligent model using traditional machine learning-based approaches,such as support vector machine(SVm),logistic regression(LR),naïve Bayes(NB),random forest(RF),and decision tree(DT)with the help of the term frequency inverse document frequency(TF-IDF)to detect the COVID-19 pandemic in Twitter *** proposed intelligent traditional machine learning-based model classifies Twitter messages into four categories,namely,confirmed deaths,recovered,and *** the experimental analysis,the tweet data on the COVID-19 pandemic are analyzed to evaluate the results of traditional machine learning approaches.A benchmark dataset for COVID-19 on Twitter messages is developed and can be used for future research *** experiments show that the results of the proposed approach are promising in detecting the COVID-19 pandemic in Twitter messages with overall accuracy,precision,recall,and F1 score between 70%and 80%and the confusion matrix for machine learning approaches(i.e.,SVm,NB,LR,RF,and DT)with the TF-IDF feature extraction technique.

关键词： Artificial intelligence coronavirus COVID-19 pandemic social network Twitter machine learning natural language processing

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Social media-Based Surveillance Systems for Health Informatics Using machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

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Computer modeling in Engineering & Sciences 2024年第5期139卷 1167-1202页

作者： Samina Amin muhammad ali zeb Hani Alshahrani mohammed Hamdi mohammad Alsulami Asadullah Shaikh Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information System College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

Social media(Sm)based surveillance systems,combined with machine learning(mL)and deep learning(DL)techniques,have shown potential for early detection of epidemic *** review discusses the current state of Sm-based surveillance methods for early epidemic outbreaks and the role of mL and DL in enhancing their ***,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by *** paper outlines the theme of Sm analysis for tracking health-related issues and detecting epidemic outbreaks in Sm,along with the mL and DL techniques that have been configured for the detection of epidemic *** has emerged as a promising mL technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation *** recent years,along with the success of mL and DL in many other application domains,both mL and DL are also popularly used in Sm *** paper aims to provide an overview of epidemic outbreaks in Sm and then outlines a comprehensive analysis of mL and DL approaches and their existing applications in Sm ***,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

关键词： Social media epidemic machine learning deep learning health informatics pandemic

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Detecting Information on the Spread of Dengue on Twitter Using Articial Neural Networks

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Computers, materials & Continua 2021年第4期 1317-1332页

作者： Samina Amin m.Irfan Uddin m.ali zeb Ala Abdulsalam Alarood marwan mahmoud monagi H.Alkinani Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan College of Computer Science and Engineering University of JeddahJeddah21959Saudi Arabia Faculty of Applied Studies King Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science and Articial Intelligence College of Computer Sciences and EngineeringUniversity of JeddahJeddahSaudi Arabi

Social media platforms have lately emerged as a promising tool for predicting the outbreak of epidemics by analyzing information on them with the help of machine learning *** analytical and statistical models are available to infer a variety of user sentiments in posts on social *** amount of data generated by social media platforms,such as Twitter,that can be used to track diseases is increasing *** paper proposes a method for the classication of tweets related to the outbreak of dengue using machine learning *** articial neural network(ANN)-based method is developed using Global Vector(GloVe)embedding to use the data in tweets for the automatic and efcient identication and classication of *** proposed method classies tweets related to the outbreak of dengue into positives and *** were conducted to assess the proposed ANN model based on performance evaluation matrices(confusion matrices).The results show that the GloVe vectors can efciently capture a sufcient amount of information for the classier to accurately identify and classify tweets as relevant or irrelevant to dengue *** proposed method can help healthcare professionals and researchers track and analyze epidemic outbreaks through social media in real time.

关键词： Articial neural network classication social media GloVe social networking sites

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Standardization of proton-induced x-ray emission technique for analysis of thick samples

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Chinese Physics B 2015年第9期24卷 171-176页

作者： Shad ali Johar zeb Abdul Ahad Ishfaq Ahmad m.Haneef Jehan Akbar Department of Physics Hazara University National Center of Physics (NCP)

This paper describes the standardization of the proton-induced x-ray emission（PIXE） technique for finding the elemental composition of thick samples. For the standardization, three different samples of standard reference materials（SRms） were analyzed using this technique and the data were compared with the already known data of these certified SRms. These samples were selected in order to cover the maximum range of elements in the periodic table. Each sample was irradiated for three different values of collected beam charges at three different times. A proton beam of 2.57 me V obtained using 5UDH-II Pelletron accelerator was used for excitation of x-rays from the sample. The acquired experimental data were analyzed using the GUPIXWIN software. The results show that the SRm data and the data obtained using the PIXE technique are in good agreement.

关键词： standardization thick samples PIXE analysis

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Photocatalysis vs adsorption by metal oxide nanoparticles

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Journal of materials Science & Technology 2022年第36期131卷 122-166页

作者： Usman Qumar Jahan zeb Hassan Rukhsar Ahmad Bhatti ali Raza Ghazanfar Nazir Walid Nabgan muhammad Ikram Solar Cell Applications Research Lab Department of PhysicsGovernment College University Lahore54000 PunjabPakistan Department of Physics University of Lahore(Chenab Campus)Adjacent Chenab BridgeGujrat50700 PunjabPakistan Department of Physics University of Sialkot(USKT)1-Km Main Daska RoadSialkot51040 PunjabPakistan Department of Nanotechnology and Advanced materials Engineering Sejong UniversitySeoul 05006Republic of Korea Departament d’Enginyeria Química Universitat Rovira i VirgiliAv Països Catalans 2643007 TarragonaSpain.

Background:metal oxide(mO)nanomaterials and related nanocomposites have been extensively studied for their potential use in water *** of their controlled morphologies,texture qualities,variable surface chemistry,distinct crystalline nature,high stability,and tunable band edges,mO nanostructured materials are highly selective towards deleting organic contaminants and heavy metal ions via adsorption and semiconductor ***-enhanced photocatalysis has recently received increasing interest,mainly due to the ability of the metal to directly or indirectly degrade pollutants.A diverse selection of mOs,with titanium dioxide(Ti O2),zinc oxide(Zn O),iron oxides(IO),and tungsten(W),as well as graphene-mOs nanocomposites with variable structure,crystalline,and morphological properties,offers a powerful platform for the growth of effective ***:The current work discusses novel advancements and potential for the removal of adsorptive and photocatalytic degradation of organic compounds(phenolic,pesticide molecules,dyes,and so on)as well as heavy metal ions using semiconductor materials.A photocatalyst based on a mO-scheme heterostructure can manage the appropriate conduction band(CB)and valence band(VB)locations,securing considerable redox *** review should be of interest to the broad readership dealing with applied and fundamental aspects of water treatments and material *** strategies including surface modification,plasmonic enhancement,and metal cocatalysts have been introduced to enhance photocatalytic *** findings:The current article discussed the significantly utilized synthesis strategies and mechanism of heterojunction photocatalysts using a ***,adsorption sections guarantee that mercury,chromium,cadmium,arsenic,and lead-based ions are successfully removed from polluted water via the adsorption *** characteristics,such as concentration,coexisting ions,p H,and ki

关键词： Photocatalyst Adsorbate metal Oxides Z-scheme Surface modification Heterojunction Semiconductor heterostructures Nanoparticles

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Glow Discharge Plasma Nitriding of AISI 304 Stainless Steel

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Plasma Science and Technology 2007年第4期9卷 463-468页

作者： A.QAYYUm m.A.NAVEED S.zeb G.mURTAZA m.ZAKAULLAH National Tokamak Fusion Program IslamabadPakistan Department of Physics Quaid-i-Azam University45320 IslamabadPakistan Salam Chair in Physics Government College University54000 LahorePakistan

Glow discharge plasma nitriding of AISI 304 austenitic stainless steel has been carried out for different processing time under optimum discharge conditions established by spectroscopic analysis. The treated samples were analysed by X-ray diffraction （XRD） to explore the changes induced in the crystallographic structure. The XRD pattern confirmed the formation of an expanded austenite phase （TN） owing to incorporation of nitrogen as an interstitial solid solution in the iron lattice. A Vickers microhardness tester was used to evaluate the surface hardness as a function of indentation depth （μm）. The results showed clear evidence of surface changes with substantial increase in surface hardness.

关键词： optical diagnostics plasma nitriding austenitic stainless steel

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New Horizon in stabilization of single atoms on metal-oxide supports for CO_(2) reduction

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Nano materials Science 2021年第4期3卷 368-389页

作者： muhammad Abbas muhammad Aurang zeb Gul Sial Department of Chemistry and Biochemistry The University of Texas at Dallas800 West Campbell RoadRichardsonTX75080USA multi-scale Porous materials Centre Institute of Advanced Interdisciplinary StudiesSchool of Chemistry and Chemical EngineeringChongqing UniversityChonging400044PR China

Elecrochemical CO_(2) reduction is a promising route to convert CO_(2) into the value added chemicals,and to control the increasing accumulation of 002 in the *** CO_(2) molecule is stable and chemically inert,so a highly efficient electrocatalyst is required for CO_(2) *** single atoms with metal oxdde support is a new fronder in CO_(2) *** supported single atoms contain disperse isolated atoms with an appropriate support maxcimize the atom efficiency of metals for boosting the catalytc *** this review,we had discussed state-of-the-art research on the synthestis of single atoms supported on the metal oxdde for boosting catalytic activity for CO_(2) reduction and special emphasis is placed on the influence of single atoms supported on metal oxdde on the CO_(2) ***,we had discussed the challenges,and opportunities for paving the development of single atoms with metal support and their application in ecrocatalytic CO_(2) reduction.

关键词： Single atoms metal-oxides support CO_(2)reduction

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molecular and atomic manipulation of metal-organic framework-derived LiComnO_(4):An oxygen-deficient strategy for advanced lithium storage

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Journal of Energy Chemistry 2022年第12期75卷 216-228,I0006页

作者： Jian-En Zhou Jiahao Chen Xiaoke Zhang Akif zeb Xiaoming Lin Guangzhou Key Laboratory of materials for Energy Conversion and Storage Key Laboratory of Theoretical Chemistry of EnvironmentMinistry of EducationSchool of ChemistrySouth China Normal UniversityGuangzhou 510006GuangdongChina

As a novel class of high-voltage cathode materials,spinel lithium transition metal oxides have been faced with demerits including pronounced structural instability caused by Jahn-Teller distortion(especially at the lower voltage region)and severe capacity degradation despite their intriguing electrochemical *** extend their functionalities as broad-voltage cathodes,the sacrificial template method has been regarded as a promising way to realize structural and compositional control for desirable electrochemical ***,we report a synthetic protocol to directionally prepare Li Co mn O_(4)(LCmO)using carboxyl-based metal-organic frameworks(mOFs)as self-sacrificing ***,LCmO derived from Co mn-BDC(H_(2)BDC=1,4-benzenedicarboxylate)displays superior electrochemical performances with a specific capacity of 151.6 m Ah g^(-1)at 1 C(150 m A g^(-1))after 120 cycles and excellent rate capacity of 91.9 m Ah g^(-1)at 10 C due to the morphology control,microstructural modulation,and atomic manipulation of the mOF *** by the optimized atomic and electronic structure,abundant oxygen vacancies,and the nanostructure retained from mOF precursors,LCmO materials display extraordinary electrochemical properties,which have been extensively verified by both experimental and theoretical *** work not only provides guidelines for the directional design of spinel materials at molecular and atomic levels but also sheds light on the practical use of LIBs with broad range voltage.

关键词： Lithium-ion battery Cathode mOFs LiComnO_(4) Controllable synthesis Atomic manipulation

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Absorbed dose estimations of ^(131)I for critical organs using the GEANT4 monte Carlo simulation code

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Chinese Physics C 2012年第11期36卷 1150-1156页

作者： Ziaur Rahman Shakeel ur Rehman Waheed Arshed Nasir m mirza Abdul Rashid Jahan zeb Health Physics Division Pakistan Institute of Nuclear Science & TechnologyNiloreIslamabad 45650Pakistan Department of Physics & Applied mathematics Pakistan Institute of Engineering & Applied SciencesNiloreIslamabad 45650Pakistan

The aim of this study is to compare the absorbed doses of critical organs of 131I using the mIRD （medical Internal Radiation Dose） with the corresponding predictions made by GEANT4 simulations. S- values （mean absorbed dose rate per unit activity） and energy deposition per decay for critical organs of 131I for various ages, using standard cylindrical phantom comprising water and ICRP soft-tissue material, have also been estimated. In this study the effect of volume reduction of thyroid, during radiation therapy, on the calculation of absorbed dose is also being estimated using GEANT4. Photon specific energy deposition in the other organs of the neck, due to 131I decay in the thyroid organ, has also been estimated. The maximum relative difference of mIRD with the GEANT4 simulated results is 5.64% for an adult＇s critical organs of 131I. Excellent agreement was found between the results of water and ICRP soft tissue using the cylindrical model. S-values are tabulated for critical organs of 131I, using 1, 5, 10, 15 and 18 years （adults） individuals. S-values for a cylindrical thyroid of different sizes, having 3.07% relative differences of GEANT4 with Siegel ＆ Stabin results. Comparison of the experimentally measured values at 0.5 and 1 m away from neck of the ionization chamber with GEANT4 based monte Carlo simulations results show good agreement. This study shows that GEANT4 code is an important tool for the internal dosimetry calculations.

关键词： mean absorbed dose rate GEANT4 monte Carlo simulation and 131I critical organs

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Chemical characterization and source apportionment of Pm_(1) and Pm_(2.5) in Tianjin, China: Impacts of biomass burning and primary biogenic sources

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Journal of Environmental Sciences 2021年第1期33卷 196-209页

作者： Jahan zeb Khan Long Sun Yingze Tian Guoliang Shi Yinchang Feng Center for Ecological Research&Key Laboratory of Sustainable Forest Ecosystem management-ministry of Education College of ForestryNortheast Forestry UniversityHarbin150040China State Environmental Protection Key Laboratory of Urban Ambient Air Particulate matter Pollution Prevention and Control College of Enuironmental Science and EngineeringNankai UniversityTianjin300350China

The submicron particulate matter(Pm_(1))and fine particulate matter(Pm_(2.5))are very important due to their greater adverse impacts on the natural environment and human *** this study,the daily Pm_(1) and Pm_(2.5) samples were collected during early summer 2018 at a sub-urban site in the urban-industrial port city of Tianjin,*** collected samples were analyzed for the carbonaceous fractions,inorganic ions,elemental species,and specific marker sugar *** chemical characterization of Pm_(1) and Pm_(2.5) was based on their concentrations,compositions,and characteristic ratios(Pm_(1)/Pm_(2.5),AE/CE,NO3^-/SO4^2-,OC/EC,SOC/OC,Om/TCA,K^+/EC,levoglucosan/K^+,V/Cu,and V/Ni).The average concentrations of Pm_(1) and Pm_(2.5) were 32.4μg/m and 53.3μg/m^3,and Pm_(1) constituted 63%of Pm_(2.5) on *** source apportionment of Pm_(1) and Pm_(2.5) by positive matrix factorization(PmF)model indicated the main sources of secondary aerosols(25%and 34%),biomass burning(17%and 20%),traffic emission(20%and 14%),and coal combustion(17%and 14%).The biomass burning factor involved agricultural fertilization and waste *** biomass burning and primary biogenic contributions were determined by specific marker sugar *** anthropogenic sources(combustion,secondary particle formation,etc)contributed significantly to Pm_(1) and Pm_(2.5),and the natural sources were more evident in Pm_(2.5).This work significantly contributes to the chemical characterization and source apportionment of Pm_(1) and Pm_(2.5) in near-port cities influenced by the diverse sources.

关键词： Pm_(1) and Pm_(2.5) Near-port city Chemical characterization Source apportionment Biomass burning Primary biogenic

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