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Non-alcoholic steatohepatitis and the risk of myocardial infarction: Apopulation-based national study

World Journal of Hepatology 2020年第7期12卷 378-388页

作者： Sara Ghoneim Aneesh Dhorepatil aun raza shah Ganesh Ram Subhan Ahmad Chang Kim Imad Asaad Department of Internal Medicine Case Western Reserve University at MetroHealth Medical CenterClevelandOH 44109United States Department of Pain Management The Schulich School of Medicine and DentistryLondonOntario N6A 5C1Canada Division of Gastroenterology Case Western Reserve University at MetroHealth Medical CenterClevelandOH 44109United States

BACKGROUNDNon-alcoholic fatty liver disease (NAFLD) is a systemic disease with bidirectionalrelationships with cardiovascular disease (CVD). Non-alcoholic steatohepatitis(NASH) is a more severe subtype of NAFLD. Patients with NASH exhibit moreintra and extrahepatic inflammation, procoagulant imbalances andproatherogenic lipid profiles. Whether NASH increases the risk of ischemic heartdisease is currently *** investigate the relationship between acute myocardial infarction (MI) andNASH in a large cohort of subjects in the United *** reviewed data from a large commercial database (Explorys IBM) thataggregates electronic health records from 26 large nationwide healthcare *** systemized nomenclature of clinical medical terms (SNOMED CT), weidentified adult with the diagnosis of NASH from 1999-2019. We includedpatients with the diagnosis of acute MI from 2018-2019. Comorbidities known tobe associated with NASH and MI such as obesity, diabetes mellitus,hyperlipidemia, smoking, male gender, and hypertension were *** and multivariable analyses were performed to investigate whetherNASH is independently associated with the risk of *** of 55099280 patients, 43170 were diagnosed with NASH (0.08%) and 107000(0.194%) had a MI within 2018-2019. After adjusting for traditional risk factors,NASH conferred greater odds of MI odds ratio (OR) 1.5 [95% confidence interval(CI): 1.40-1.62]. Hyperlipidemia had the strongest association with MI OR 8.39(95%CI: 8.21-8.58) followed by hypertension OR 3.11 (95%CI: 3.05-3.17) andsmoking OR 2.83 (95%CI: 2.79-2.87). NASH had a similar association with MI asthe following traditional risk factors like age above 65 years OR 1.47 (95%CI: 1.45-1.49), male gender OR 1.53 (95%CI: 1.51-1.55) diabetes mellitus OR 1.89 (95%CI:1.86-1.91).CONCLUSIONMI appears to be a prevalent disease in NASH. Patients with NASH may needearly identification and aggressive cardiovascular risk modification.

关键词： Non-alcoholic steatohepatitis Myocardial infarction Non-alcoholic fatty liver disease Ischemic cardiovascular disease United States population Atherosclerosis

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Endoscopic ultrasound guided liver biopsy for parenchymal liver disease

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World Journal of Hepatology 2019年第4期11卷 335-343页

作者： aun raza shah Muhannad Al-Hanayneh Monica Chowdhry Mohammad Bilal Shailendra Singh Department of Internal Medicine MetroHealth Medical Center Division of Gastroenterology and Hepatology the University of Texas Medical Branch Division of Gastroenterology Department of Internal Medicine West Virginia University

Liver biopsy plays an essential role in the diagnosis, evaluation and management of a vast proportion of liver diseases. Conventionally, percutaneous and transjugular approaches have been used to obtain liver biopsies. Endoscopic ultrasound guided liver biopsy(EUS-LB) has emerged as a safe and effective alternate in the past two decades. EUS-LB carries a role in evaluation of both benign and malignant diseases of the liver. It can offer higher resolution imaging of the liver and can detect smaller lesions than computed tomography scan of the abdomen or ultrasound scans with the option for doppler assistance to reduce complications. Current evidence demonstrates the superiority of EUS-LB for a targeted approach of focal lesion and there is also evidence of less sampling variability in heterogeneous parenchymal pathologies. These advantages combined with an improved safety profile had led to the rapid progress in the development of new techniques, equipment and procedures for EUS-LB. We provide a comprehensive review of EUS-LB for parenchymal liver disease.

关键词： Liver biopsy Endoscopic ultrasound Endoscopic ultrasound guided liver biopsy Liver disease

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Infectious causes of fever of unknown origin in developing countries: An international ID-IRI study

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Journal of Intensive Medicine 2024年第1期4卷 94-100页

作者： Hakan Erdem Jaffar AAl-Tawfiq Maha Abid Wissal Ben Yahia George Akafity Manar Ezzelarab Ramadan Fatma Amer Amani El-Kholy Atousa Hakamifard Bilal Ahmad Rahimi Farouq Dayyab Hulya Caskurlu Reham Khedr Muhammad Tahir Lysien Zambrano Mumtaz Ali Khan aun raza Nagwa Mostafa El-Sayed Magdalena Baymakova Aysun Yalci Yasemin Cag Umran Elbahr Aamer Ikram Department of Infectious Diseases&Clinical Microbiology Gulhane School of MedicineTurkish Health Sciences UniversityAnkaraTurkey Specialty Internal Medicine and Quality and Patient Safety Department Johns Hopkins Aramco HealthcareDhahranSaudi Arabia Division of Infectious Diseases Indiana University School of MedicineIndianapolisINUSA Department of Infectious Diseases Farhat Hached University HospitalIbn El Jazzar Medical SchoolUniversity of SousseSousseTunisia Internal Medicine Department Farhat Hached University HospitalIbn El Jazzar Medical SchoolUniversity of SousseSousseTunisia Cape Coast Teaching Hospital Cape CoastGhana Medical Parasitology Faculty of MedicineSuez UniversitySuezEgypt Department of Medical Microbiology and Immunology Faculty of MedicineZagazig UniversityZagazigEgypt Department of Clinical Pathology Faculty of MedicineCairo UniversityGizaEgypt Department of Infectious Diseases School of MedicineIsfahan University of Medical SciencesIsfahanIran Department of Infectious Diseases Kandahar University Medical FacultyTeaching HospitalKandaharAfghanistan Department of Infectious Diseases Mohammed Bn Khalifa Bn Salman Alkhalifa Specialist Cardiac CenterAwaliBahrain Department of Infectious Diseases and Clinical Microbiology Faculty of MedicineIstanbul Medeniyet UniversityIstanbulTurkey Department of Pediatric Oncology National Cancer Institute–Cairo UniversityChildren Cancer Hospital EgyptCairoEgypt Department of Medicine Federal General HospitalIslamabadPakistan Institute for Research in Medical Sciences and Right to Health(ICIMEDES) Scientific Research Unit(UIC)Faculty of Medical Sciences(FCM)National Autonomous University of Honduras(UNAH)TegucigalpaHonduras National Institute of Health IslamabadPakistan Shaukat Khanum Memorial Cancer Hospital and Research Center LahorePakistan Medical Parasitology Department Research Institute of OphthalmologyGizaEgypt Department of Infectious Diseases Military Medical AcademySofiaBulgaria Department of Infecti

Background:Fever of unknown origin(FUO)in developing countries is an important dilemma and further research is needed to elucidate the infectious causes of ***:A multi-center study for infectious causes of FUO in lower middle-income countries(LMIC)and lowincome countries(LIC)was conducted between January 1,2018 and January 1,*** total,15 participating centers from seven different countries provided the data,which were collected through the Infectious DiseasesInternational Research Initiative *** adult patients with confirmed infection as the cause of FUO were included in the *** severity parameters were quick Sequential Organ Failure Assessment(qSOFA)≥2,intensive care unit(ICU)admission,vasopressor use,and invasive mechanical ventilation(IMV).Results:A total of 160 patients with infectious FUO were included in the ***,148(92.5%)patients had community-acquired infections and 12(7.5%)had hospital-acquired *** most common infectious syndromes were tuberculosis(TB)(n=27,16.9%),infective endocarditis(n=25,15.6%),malaria(n=21,13.1%),brucellosis(n=15,9.4%),and typhoid fever(n=9,5.6%).Plasmodium falciparum,Mycobacterium tuberculosis,Brucellae,Staphylococcus aureus,Salmonella typhi,and Rickettsiae were the leading infectious agents in this study.A total of 56(35.0%)cases had invasive procedures for *** mean qSOFA score was 0.76±0.94{median(interquartile range[IQR]):0(0–1)}.ICU admission(n=26,16.2%),vasopressor use(n=14,8.8%),and IMV(n=10,6.3%)were not ***,38(23.8%)patients had at least one of the severity *** mortality rate was 15(9.4%),and the mortality was attributable to the infection causing FUO in 12(7.5%)***:In LMIC and LIC,tuberculosis and cardiac infections were the most severe and the leading infections causing FUO.

关键词： Developing countries Fever of unknown origin Infection

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净化河水的废锰砂和废离子交换树脂处置方法

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精细与专用化学品 2024年第5期32卷 14-16,30页

作者：张建勋盐城市大丰生态环境局经济开发区分局江苏盐城224100

在工业生产中,合法合规地取用河水,并对取用的河水进行有效净化,可以丰富工业用水的来源方式。河水净化工艺过程中通常有废锰砂、废离子交换树脂等固废产生。明确这类固废的规范处置流程既有利于提高生态环境执法效率、保护生态环境,也... 详细信息

在工业生产中,合法合规地取用河水,并对取用的河水进行有效净化,可以丰富工业用水的来源方式。河水净化工艺过程中通常有废锰砂、废离子交换树脂等固废产生。明确这类固废的规范处置流程既有利于提高生态环境执法效率、保护生态环境,也有利于降低企业的运营成本。通过模拟废锰砂、废离子交换树脂对土壤环境的影响,得出净化特定河水的废锰砂、废离子交换树脂可以作为一般固废处置的结论。

关键词：河水净化废锰砂废离子交换树脂一般固废

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欧盟碳边境调节机制对我国出口贸易的影响研究

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生态经济 2024年第8期40卷 37-44页

作者：张力左鹏顾阿伦王天鹏中国电力工程顾问集团有限公司北京100120 中国电力工程顾问集团国际工程有限公司北京100013 清华大学能源环境经济研究所北京100084

欧盟即将实施碳边境调节机制作为其实现气候和能源目标战略的一部分,试图为境内企业提供公平的竞争环境,并减少碳泄漏的风险。欧盟的碳边境调节机制会增加我国向欧盟出口产品的成本,降低我国出口产品在欧盟市场的竞争力。论文利用多区... 详细信息

欧盟即将实施碳边境调节机制作为其实现气候和能源目标战略的一部分,试图为境内企业提供公平的竞争环境,并减少碳泄漏的风险。欧盟的碳边境调节机制会增加我国向欧盟出口产品的成本,降低我国出口产品在欧盟市场的竞争力。论文利用多区域投入产出模型测算了我国与欧盟之间的贸易隐含碳排放,并基于欧盟当前的碳价水平定量评估了碳边境调节机制对我国向欧盟出口产品成本的影响。研究结果显示,当前出台的碳边境调节机制覆盖范围较窄,且主要考虑直接排放,虽然对覆盖部门的影响较为显著,但对我国与欧盟的总体贸易影响较小。不过,考虑到后续碳边境调节机制可能的政策调整方向,我国对欧盟的出口贸易可能在未来受到更大的挑战。

关键词：碳边境调节机制欧盟出口贸易投入产出模型

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Pandemic Analysis and Prediction of COVID-19 Using Gaussian Doubling Times

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Computers, Materials & Continua 2022年第7期72卷 833-849页

作者： Saleh Albahli Farman Hassan Ali Javed aun Irtaza Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science University of Engineering and TechnologyTaxilaPakistan Department of Computer Science and Engineering Oakland UniversityMIUSA Department of Computer and Electrical Engineering University of MichiganDearbornUSA

COVID-19 has become a pandemic,with cases all over the world,with widespread disruption in some countries,such as Italy,US,India,South Korea,and *** and reliable detection of COVID-19 is mandatory to control the spread of ***,prediction of COVID-19 spread in near future is also crucial to better plan for the disease *** this purpose,we proposed a robust framework for the analysis,prediction,and detection of *** make reliable estimates on key pandemic parameters and make predictions on the point of inflection and possible washout time for various countries around the *** estimates,analysis and predictions are based on the data gathered fromJohns Hopkins Center during the time span of April 21 to June 27,*** use the normal distribution for simple and quick predictions of the coronavirus pandemic model and estimate the parameters of Gaussian curves using the least square parameter curve fitting for several countries in different *** predictions rely on the possible outcomes of Gaussian time evolution with the central limit theorem of statistics the predictions to be well *** parameters of Gaussian distribution,i.e.,maximumtime and width,are determined through a statisticalχ^(2)-fit for the purpose of doubling times after April 21,*** COVID-19 detection,we proposed a novel method based on the Histogram of Oriented Gradients(HOG)and CNN in multi-class classification scenario i.e.,Normal,COVID-19,viral pneumonia *** results show the effectiveness of our framework for reliable prediction and detection of COVID-19.

关键词： Prediction coronavirus time-series prediction gaussian mathematical model pandemic spreading

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Time to forge ahead:The Internet of Things for healthcare

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Digital Communications and Networks 2023年第1期9卷 223-235页

作者： Denzil Furtado Andre F.Gygax Chien aun Chan Ashley I.Bush Melbourne Dementia Research Centre&Department of Chemical Engineering University of MelbourneVIC3010Australia Faculty of Business and Economics University of MelbourneVIC3010Australia Department of Electrical and Electronic Engineering University of MelbourneVIC3010Australia Florey Institute of Neuroscience and Mental Health University of MelbourneVIC3010Australia

Situated at the intersection of technology and medicine,the Internet of Things(IoT)holds the promise of addressing some of healthcare's most pressing challenges,from medical error,to chronic drug shortages,to overburdened hospital systems,to dealing with the COVID-19 ***,despite considerable recent technological advances,the pace of successful implementation of promising IoT healthcare initiatives has been *** inspire more productive collaboration,we present here a simple—but surprisingly underrated—problemoriented approach to developing healthcare *** further assist in this effort,we reviewed the various commercial,regulatory,social/cultural,and technological factors in the development of the *** propose that fog computing—a technological paradigm wherein the burden of computing is shifted from a centralized cloud server closer to the data source—offers the greatest promise for building a robust and scalable healthcare IoT *** this end,we explore the key enabling technologies that underpin the fog architecture,from the sensing layer all the way up to the *** is our hope that ongoing advances in sensing,communications,cryptography,storage,machine learning,and artificial intelligence will be leveraged in meaningful ways to generate unprecedented medical intelligence and thus drive improvements in the health of many people.

关键词： Internet of Things Healthcare Information Fog computing Artificial intelligence Machine learning Big data COVID-19 pandemic

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DDoS Detection in SDN using Machine Learning Techniques

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Computers, Materials & Continua 2022年第4期71卷 771-789页

作者： Muhammad Waqas Nadeem Hock Guan Goh Vasaki Ponnusamy Yichiet aun Faculty of Information and Communication Technology(FICT) Universiti Tunku Abdul Rahman(UTAR)Jalan UniversitiBandar Barat31900 KamparPerakMalaysia

Software-defined network(SDN)becomes a new revolutionary paradigm in networks because it provides more control and network operation over a network *** SDN controller is considered as the operating system of the SDN based network infrastructure,and it is responsible for executing the different network applications and maintaining the network services and *** all its tremendous capabilities,the SDN face many security issues due to the complexity of the SDN *** denial of services(DDoS)is a common attack on SDN due to its centralized architecture,especially at the control layer of the SDN that has a network-wide *** learning is now widely used for fast detection of these *** this paper,some important feature selection methods for machine learning on DDoS detection are *** selection of optimal features reflects the classification accuracy of the machine learning techniques and the performance of the SDN controller.A comparative analysis of feature selection and machine learning classifiers is also derived to detect SDN *** experimental results show that the Random forest(RF)classifier trains the more accurate model with 99.97%accuracy using features subset by the Recursive feature elimination(RFE)method.

关键词： Machine learning software-defined network distributed denial of services feature selection protection artificial neural network decision trees naïve bayes security

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IoT Wireless Intrusion Detection and Network Traffic Analysis

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Computer Systems Science & Engineering 2022年第3期40卷 865-879页

作者： Vasaki Ponnusamy aun Yichiet NZ Jhanjhi Mamoona humayun MaramFahhad Almufareh University Tunku Abdul Rahman Kampar31900Malaysia School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia Department of Information Systems College of Computer and Information SciencesJouf UniversityAl-JoufSaudi Arabia

Enhancement in wireless networks had given users the ability to use the Internet without a physical connection to the *** every Internet of Things(IoT)devices such as smartphones,drones,and cameras use wireless technology(Infrared,Bluetooth,IrDA,IEEE 802.11,etc.)to establish multiple interdevice connections *** the flexibility of the wireless network,one can set up numerous ad-hoc networks on-demand,connecting hundreds to thousands of users,increasing productivity and profitability ***,the number of network attacks in wireless networks that exploit such flexibilities in setting and tearing down networks has become very *** can launch attacks since there is no first line of defense in an ad hoc network setup besides the standard IEEE802.11 WPA2 *** feasible countermeasure is to deploy intrusion detection systems at the edge of these ad hoc networks(Network-based IDS)or at the node level(Host-based IDS).The challenge here is that there is no readily available benchmark data available for IoT network *** this benchmark data is very tedious as IoT can work on multiple platforms and networks,and crafting and labelling such dataset is very *** research aims to study the characteristics of existing datasets available such as KDD-Cup and NSL-KDD,and their suitability for wireless IDS *** hypothesize that network features are parametrically different depending on the types of network and assigning weight dynamically to these features can potentially improve the subsequent threat *** paper analyses packet and flow features for the data packet captured on a wireless network rather than a wired *** domain heuristcs and early classification results,the paper had identified 19 header fields exclusive to wireless network that contain high information gain to be used as ML features in Wireless IDS.

关键词： IoT machine learning traffic features IDS KDD-CUP NSL-KDD

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Intrusion Detection Systems in Internet of Things and Mobile Ad-Hoc Networks

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Computer Systems Science & Engineering 2022年第3期40卷 1199-1215页

作者： Vasaki Ponnusamy Mamoona Humayun NZJhanjhi aun Yichiet Maram Fahhad Almufareh Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanKamparMalaysia Department of Information Systems College of Computer and Information SciencesJouf UniversityAl-JoufSaudi Arabia School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia

Internet of Things(IoT)devices work mainly in wireless mediums;requiring different Intrusion Detection System(IDS)kind of solutions to leverage 802.11 header information for intrusion ***-specific traffic features with high information gain are primarily found in data link layers rather than application layers in wired *** survey investigates some of the complexities and challenges in deploying wireless IDS in terms of data collection methods,IDS techniques,IDS placement strategies,and traffic data analysis *** paper’s main finding highlights the lack of available network traces for training modern machine-learning models against IoT specific ***,the Knowledge Discovery in Databases(KDD)Cup dataset is reviewed to highlight the design challenges of wireless intrusion detection based on current data attributes and proposed several guidelines to future-proof following traffic capture methods in the wireless network(WN).The paper starts with a review of various intrusion detection techniques,data collection methods and placement *** main goal of this paper is to study the design challenges of deploying intrusion detection system in a wireless *** detection system deployment in a wireless environment is not as straightforward as in the wired network environment due to the architectural *** this paper reviews the traditional wired intrusion detection deployment methods and discusses how these techniques could be adopted into the wireless environment and also highlights the design challenges in the wireless *** main wireless environments to look into would be Wireless Sensor Networks(WSN),Mobile Ad Hoc Networks(MANET)and IoT as this are the future trends and a lot of attacks have been targeted into these *** it is very crucial to design an IDS specifically to target on the wireless networks.

关键词： Internet of Things MANET intrusion detection systems wireless networks

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