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Global trends in hepatitis C-related hepatocellular carcinoma mortality:A public database analysis(1999-2019)

World Journal of Virology 2024年第1期13卷 69-83页

作者： Hassam Ali Fnu Vikash Vishali Moond Fatima Khalid abdur rehman jamil Dushyant Singh Dahiya Amir Humza Sohail Manesh Kumar Gangwani Pratik Patel Sanjaya K Satapathy Department of Internal Medicine/Gastroenterology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Jacobi Medical Center/Albert Einstein College of MedicineBronxNY 10461United States Department of Internal Medicine Saint Peter's University Hospital/Robert Wood Johnson Medical SchoolNew BrunswickNJ 08901United States Department of Internal Medicine Quaid-e-Azam Medical CollegeBahawalpur 63100PunjabPakistan Department of Internal Medicine Samaritan Medical CentreWatertownMA 13601United States Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of Surgery New York University Winthrop HospitalNew YorkMineloaNY 11501United States Department of Internal Medicine The University of ToledoToledoOH 43606United States Department of Gastroenterology Mather Hospital/Hofstra University Zucker School of MedicineNY 11777United States Division of Hepatology Department of MedicineNorth Shore University HospitalManhassetNY 11030United States

BACKGROUND Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma(HCC).However,there are marked variations in the incidence and mortality rates of HCC across different geographical *** the advent of new widely available treatment modalities,such as direct-acting antivirals,it is becoming increasingly imperative to understand the temporal and geographical trends in HCC mortality associated with Hepatitis ***,gender disparities in HCC mortality related to Hepatitis C are a crucial,yet underexplored aspect that adds to the disease's global *** some studies shed light on gender-specific trends,there is a lack of comprehensive data on global and regional mortality rates,particularly those highlighting gender *** gap in knowledge hinders the development of targeted interventions and resource allocation *** The results of our study show an overall decline in the mortality rates of patients with hepatitis C-related HCC over the last two ***,females exhibited a remarkable decrease in mortality compared to ***,East Asia and the Pacific displayed a significant decline in mortality,while Europe and Central Asia witnessed an upward *** America and the Caribbean also experienced an increase in mortality ***,no significant difference was observed in the Middle East and North *** America exhibited a notable upward *** Asia and Sub-Saharan Africa significantly declined throughout the study *** raises the hope of identifying areas for implementing more targeted *** some progress,multiple challenges remain in meeting the WHO 2030 goal of eliminating viral hepatitis[24].

关键词： Carcinoma Hepatocellular Antiviral agents Global Burden of Disease Quality indicators Health care Liver neoplasms Hepatitis C Chronic hepatitis C

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Effect of Light Emitting Diodes (LEDs) on Growth, Mineral Composition, and Nutritional Value of Wheat & Lentil Sprouts

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Phyton-International Journal of Experimental Botany 2024年第6期93卷 1117-1128页

作者： Abdul Momin Amana Khatoon Wajahat Khan Dilsat Bozdoğan Konuşkan Muhammad Mudasar Aslam Muhammad jamil Shafiq Ur rehman Baber Ali Alevcan Kaplan Sana Wahab Muhammad Nauman Khan Sezai Ercisli Mohammad Khalid Al-Sadoon Department of Botany Kohat University of Science&TechnologyKohat26000Pakistan Department of Food Engineering Faculty of AgricultureHatay Mustafa Kemal UniversityHatay31000Türkiye Department of Botany University of Science&TechnologyBannu28100Pakistan Department of Biotechnology and Genetic Engineering Kohat University of Science&TechnologyKohat26000Pakistan Department of Biology University of HaripurKhyber Pakhtunkhwa22620Pakistan School of Science Western Sydney UniversityPenrithNew South Wales2151Australia Department of Crop and Animal Production Sason Vocational SchoolBatman UniversityBatman72060Türkiye Department of Plant Sciences Quaid-i-Azam UniversityIslamabad45320Pakistan Department of Botany Islamia College PeshawarPeshawar25120Pakistan Department of Horticulture Agricultural FacultyAtaturk UniversityErzurum25240Türkiye HGF Agro Ata TeknokentErzurumTR-25240Türkiye Department of Zoology College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

Sprouts are ready-to-eat and are recognized worldwide as functional components of the human *** advances in innovative agricultural techniques could enable an increase in the production of healthy *** use of light-emitting diode(LED)in indoor agricultural production could alter the biological feedback loop,increasing the functional beneﬁts of plant foods such as wheat and lentil sprouts and promoting the bioavailability of *** effects of white(W),red(R),and blue(B)light were investigated on the growth parameters and nutritional value of wheat and lentil *** the laboratory,seeds were sown under three different LED treat-ments:white,red,and blue light,while normal incandescent light served as a *** seed germina-tion improved by 18.34%and 12.67%for wheat and 18.34%and 12.67%for lentil sprouts under LED treatments R and B,*** increase in total soluble protein and sugar by 33.4%and 9.23%in wheat and by 31.5%and 5.87%in lentils was observed under the R LED *** C concentrations in wheat and lentils were signiﬁcantly increased by R LED compared to all other *** parameters,including potassium and sodium concentrations,were signiﬁcantly increased under red and blue light compared to the control;white light,on the other hand,signiﬁcantly decreased all these *** to the experimental data,red and blue LED light could be beneﬁcial in the production of functional wheat and lentil sprouts with high nutrient concentrations.

关键词： Growth parameters LED nutritional value sprouts total soluble proteins

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LHCb anomaly in B→K~*μ^+μ^- optimised observables and potential of Z' model

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Chinese Physics C 2018年第6期42卷 23-36页

作者： Ishtiaq Ahmed abdur rehman National Centre for Physics Quaid-i-Azam University Campus

Over the last few years LHCb found some discrepancies in b → sl^＋l^-FCNC transitions, including anomalies in the angular observables of B→K^＊μ^＋μ^-, particularly in P′5, in the low dimuon mass region. Recently,these anomalies have been confirmed by Belle, CMS and ATLAS. As direct evidence of physics beyond the Standard Model is absent so far, these anomalies are being interpreted as indirect hints of new physics. In this context, we study the implications of the family non-universal Z′ model for the angular observables P（1,2,3）, P′（4,5,6） and newly proposed lepton flavor universality violation observables, Q（4,5）, in the B → K^＊（→Kπ）μ^＋μ^-decay channel in the low dimuon mass region. To see the variation in the values of these observables from their Standard Model values, we have chosen different scenarios for the Z′ model. It is found that these angular observables are sensitive to the values of the parameters of the Z′ model. We have also found that with the present parametric space of the Z′ model,the P′5-anomaly could be accommodated. However, more statistics on the anomalies in the angular observables are helpful to reveal the status of the considered model and, in general, the nature of new physics.

关键词： FCNC new physics semileptonic B meson decays

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Common least-squares solution to some matrix equations

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上海大学学报（自然科学版） 2017年第2期23卷 267-275页

作者： rehman abdur WANG Qingwen College of Sciences Shanghai University Shanghai 200444 China University of Engineering & Technology Lahore Lahore 54660 Pakistan

Necessary and sufficient conditions are derived for some matrix equations that have a common least-squares solution.A general expression is provided when certain resolvable conditions are *** research extends existing... 详细信息

关键词： matrix equation least-squares solution explicit solution Moore-Penrose inverse rank

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Does Seed Priming Induce Changes in the Levels of Some Endogenous Plant Hormones in Hexaploid Wheat Plants Under Salt Stress？

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Journal of Integrative Plant Biology 2006年第2期48卷 181-189页

作者： Muhammad Iqbal Muhammad Ashraf Amer jamil Shafiq-ur-rehman Department of Botany University of Agriculture Faisalabad 38040 Pakistan Department of Biochemistry University of Agriculture Faisalabad 38040 Pakistan Faculty of Biological Resources Science College of Agriculture Chonbuk National University Chonju 561-756 Republic of Korea

In order to assess whether salt tolerance could be Improved In spring wheat （Triticum aestivum L.）, the present study was performed by soaking the seeds of two cultlvars, namely MH-97 （salt sensitive） and Inqlab-91 （salt tolerant）, for 12 h In distilled water or 100 mol/m^3 CaCl2, KCI, or NaCI. Primed seeds from each treatment group and non-primed seeds were sown In a field In which NaCI salinity of 15 dS/m was developed. Priming of seeds with CaCl2, followed by priming with KCI and NaCI, was found to be effective In alleviating the adverse effects of salt stress on both wheat cultivars In terms of shoot fresh and dry weights and grain yield. Priming with CaCl2 alleviated the adverse effects of salt stress on hormonal balance In plants of both cultlvars. In MH-97 plants, CaCl2 pretreatment considerably reduced leaf absclslc acid （ABA） concentrations and Increased leaf free salicylic acid （SA） concentrations under both saline and non-saline conditions. In contrast, In the Inqlab-91 plant, CaCl2 Increased free Indoleacetic acid （IAA） and indolebutyrlc acid （IBA） content. However, priming of seeds with CaCl2 did not alter free polyamlne levels in either cultlvar, although spermldlne levels were considerably lower In plants raised from seeds treated with CaCl2 for both cultlvars under saline conditions. Priming with KCI Increased growth In Inqlab-91 plants, but not In MH-97 plants, under saline conditions. The salinity Induced reducUon In auxins （IAA and IBA） was alleviated by NaCI priming In both cultlvars under saline conditions. However, NaCI Increased leaf free ABA content and lowered leaf SA and putresclne levels In Inqlab-91 plants under saline conditions. In conclusion, although all three priming agents （I.e. CaCl2, KCI, and NaCI） were effective In alleviating the adverse effects of salt stress on wheat plants, their effects on altering the levels of different plant hormones were different In the two cuItlvars.

关键词： halopriming inorganic salts plant growth substances salinity salt tolerance.

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Smart Techniques for LULC Micro Class Classification Using Landsat8 Imagery

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Computers, Materials & Continua 2023年第3期74卷 5545-5557页

作者： Mutiullah jamil Hafeez ul rehman SaleemUllah Imran Ashraf Saqib Ubaid Department of Computer Science Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea

Wheat species play important role in the price of products and wheat production *** are several mathematical models used for the estimation of the wheat crop but these models are implemented without considering the wheat species which is an important independent *** task of wheat species identification is challenging both for human experts as well as for computer vision-based *** the use of satellite remote sensing,it is possible to identify and monitor wheat species on a large scale at any stage of the crop life *** this work,nine popular wheat species are identified by using Landsat8 operational land imager(OLI)and thermal infrared sensor(TIRS)*** thousand samples of eachwheat crop species are acquired every fifteen days with a temporal resolution of ten multispectral bands(band two to band eleven).This study employs random forest(RF),artificial neural network,support vector machine,Naive Bayes,and logistic regression for nine types of wheat *** addition,deep neural networks are also *** results indicate that RF shows the best performance of 91%accuracy while DNN obtains a 90.2%*** suggest that remotely sensed data can be used in wheat type estimation and to improve the performance of the mathematical models.

关键词： Mathematical model wheat crop estimation landsat8 remote sensing machine learning random forest deep neural network

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Data Fusion-Based Machine Learning Architecture for Intrusion Detection

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Computers, Materials & Continua 2022年第2期70卷 3399-3413页

作者： Muhammad Adnan Khan Taher M.Ghazal Sang-Woong Lee abdur rehman Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)43600BangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan

In recent years,the infrastructure of Wireless Internet of Sensor Networks(WIoSNs)has been more complicated owing to developments in the internet and devices’*** effectively prepare,control,hold and optimize wireless sensor networks,a better assessment needs to be *** field of artificial intelligence has made a great deal of progress with deep learning systems and these techniques have been used for data *** study investigates the methodology of Real Time Sequential Deep Extreme LearningMachine(RTS-DELM)implemented to wireless Internet of Things(IoT)enabled sensor networks for the detection of any intrusion *** fusion is awell-knownmethodology that can be beneficial for the improvement of data accuracy,as well as for the maximizing of wireless sensor networks *** also suggested an approach that not only makes the casting of parallel data fusion network but also render their computations more *** using the Real Time Sequential Deep Extreme Learning Machine(RTSDELM)methodology,an excessive degree of reliability with a minimal error rate of any intrusion activity in wireless sensor networks is *** results show that wireless sensor networks are optimized effectively to monitor and detect any malicious or intrusion activity through this proposed ***,threats and a more general outlook are explored.

关键词： Wireless internet of sensor networks machine learning deep extreme learning machine artificial intelligence data fusion

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Response of basement wall in tall buildings foundation under lateral loading

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Frontiers of Structural and Civil Engineering 2022年第11期16卷 1415-1423页

作者： Irfan jamil Irshad AHMAD Aqeel Ur rehman Aqib AHMED Ameer HAMZA Wali ULLAH Department of Civil Engineering University of Engineering and TechnologyPeshawar 25000Pakistan

With increasing population and limitation of availability of land,tall buildings supported on piled raft foundations are increasingly used in the modern *** increase the ratio of floor area to height,and to fulfill storage and parking facilities requirements,these tall buildings usually have more than one basement ***,during the foundation design,engineers have not considered the basement wall contribution to resisting lateral load induced by earthquake or wind and this can result in an uneconomical construction of *** this research work,an experimental study was performed on small-scale models,in order to study basement wall contribution,and the raft contribution including for piled raft foundations,to resisting lateral *** configurations of piles in 2×2,2×3,and 3×3 patterns were tested as a pile group,piled raft and piled raft with a basement *** show that when a basement wall is present,the lateral displacement decreases and the demand on each pile *** piled raft design can become more economical for tall buildings if the basement’s walls are taken into account.

关键词： basement wall lateral load displacement piled raft

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Intelligent Forecasting Model of COVID-19 Novel Coronavirus Outbreak Empowered with Deep Extreme Learning Machine

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Computers, Materials & Continua 2020年第9期64卷 1329-1342页

作者： Muhammad Adnan Khan Sagheer Abbas Khalid Masood Khan Mohammed AAl Ghamdi abdur rehman Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science Umm Al-Qura UniversityMakkah23500Saudi Arabia

An epidemic is a quick and widespread disease that threatens many lives and damages the *** epidemic lifetime should be accurate so that timely and remedial steps are *** include the closing of borders schools,suspension of community and commuting *** forecast of an outbreak effectively is a very necessary but difficult task.A predictive model that provides the best possible forecast is a great challenge for machine learning with only a few samples of training *** work proposes and examines a prediction model based on a deep extreme learning machine(DELM).This methodology is used to carry out an experiment based on the recent Wuhan coronavirus *** optimized prediction model that has been developed,namely DELM,is demonstrated to be able to make a prediction that is fairly *** results show that the new methodology is useful in developing an appropriate forecast when the samples are far from abundant during the critical period of the *** the investigation,it is shown that the proposed approach has the highest accuracy rate of 97.59%with 70%of training,30%of test and *** results validate the prediction effectiveness of the proposed scheme.

关键词： Coronavirus nCoV DELM Mis rate SERS-CoV WHO COVID-19

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A Real-Time Sequential Deep Extreme Learning Machine Cybersecurity Intrusion Detection System

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Computers, Materials & Continua 2021年第2期66卷 1785-1798页

作者： Amir Haider Muhammad Adnan Khan abdur rehman Muhib Ur Rahman Hyung Seok Kim Department of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Electrical Engineering Polytechnique MontrealMontrealQC H3T 1J4Canada

In recent years,cybersecurity has attracted significant interest due to the rapid growth of the Internet of Things(IoT)and the widespread development of computer infrastructure and *** is thus becoming particularly necessary to identify cyber-attacks or irregularities in the system and develop an efficient intrusion detection framework that is integral to *** have worked on developing intrusion detection models that depend on machine learning(ML)methods to address these security *** intelligent intrusion detection device powered by data can exploit artificial intelligence(AI),and especially ML,***,we propose in this article an intrusion detection model based on a Real-Time Sequential Deep Extreme Learning Machine Cybersecurity Intrusion Detection System(RTS-DELM-CSIDS)security *** proposed model initially determines the rating of security aspects contributing to their significance and then develops a comprehensive intrusion detection framework focused on the essential ***,we investigated the feasibility of our proposed RTS-DELM-CSIDS framework by performing dataset evaluations and calculating accuracy parameters to *** experimental findings demonstrate that the RTS-DELM-CSIDS framework outperforms conventional ***,the proposed approach has not only research significance but also practical significance.

关键词： Security DELM intrusion detection system machine learning

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