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Sickle cell nephropathy:A review of novel biomarkers and their potential roles in early detection of renal involvement

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World Journal of Clinical Pediatrics 2022年第1期11卷 14-26页

作者： Osama Y Safdar Rana m Baghdadi Sereen A Alahmadi Bana E Fakieh amaal m algay.i of Pediatric King Abdulaziz UniversityJEDDAH 21414Saudi Arabia College of medicine King Abdulaziz UniversityJEDDAH 21422Saudi Arabia

Whether the underlying mutations are homozygous,heterozygous,or coinherited with other hemoglobinopathies,sickle cell disease is known to afflict the kidneys,leading to the clinical entity known as sickle cell nephropathy(SCN).Although common,SCN remains diagnostically *** studies performed in the context of renal disorders often fail to detect early stage *** makes the quest for early diagnosis and treatment more challenging,and it increases the burden of chronic kidney disease-related morbidity among *** diagnostic tools have been employed to overcome this *** this study,we discuss various biomarkers of SCN,including those employed in clinical practice and others recently identified in experimental settings,such as markers of vascular injury,endothelial dysfunction,tubulo-glomerular damage,and oxidative *** include kidney injury molecule-1,monocyte chemoattractant protein-1,N-acetyl-B-D-glucosaminidase,ceruloplasmin,orosomucoid,nephrin,and cation channels,among ***,we explore the potential of novel biomarkers for refining diagnostic and therapeutic approaches and describe some obstacles that still need to be *** highlight the importance of a collaborative approach to standardize the use of promising new ***,we outline the limitations of conventional markers of renal damage as extensions of the pathogenic process occurring at the level of the organ and its functional subunits,with a discussion of the expected pattern of clinical and biochemical progression among patients with SCN.

关键词： Sickle cell disease Sickle cell nephropathy Chronic kidney disease Kidney injury molecule-1 monocyte chemoattractant protein-1 N-acetyl-B-D-glucosaminidase

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Ensemble-Based Approach for Efficient intrusion Detection in Network Traffic

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intelligent Automation & Soft Computing 2023年第8期37卷 2499-2517页

作者： Ammar Almomani iman Akour Ahmed m.manasrah Omar Almomani mohammad Alauthman Esra’a Abdullah amaal Al Shwait Razan Al Sharaa School of Computing Skyline University CollegeUniversity City of SharjahP.O.Box 1797SharjahUnited Arab Emirates iT-Department-Al-Huson University College Al-Balqa Applied UniversityP.O.Box 50IrbidJordan information Systems Department College of Computing&InformaticsUniversity of SharjahUnited Arab Emirates Comp.info Sciences(CiS)Division Higher Colleges of TechnologySharjahUnited Arab Emirates Computer Sciences Department Yarmouk UniversityIrbidJordan Computer Network and information Systems Department The World Islamic Sciences and Education UniversityAmman11947Jordan Department of information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan

The exponential growth of internet and network usage has neces-sitated heightened security measures to protect against data and network ***,executed through network packets,pose a significant challenge for firewalls to detect and prevent due to the similarity between legit-imate and intrusion *** vast network traffic volume also complicates most network monitoring systems and *** intrusion detection methods have been proposed,with machine learning techniques regarded as promising for dealing with these *** study presents an intrusion Detection System Based on Stacking Ensemble Learning base(Random For-est,Decision Tree,and k-Nearest-Neighbors).The proposed system employs pre-processing techniques to enhance classification efficiency and integrates seven machine learning *** stacking ensemble technique increases performance by incorporating three base models(Random Forest,Decision Tree,and k-Nearest-Neighbors)and a meta-model represented by the Logistic Regression *** using the UNSW-NB15 dataset,the pro-posed iDS gained an accuracy of 96.16%in the training phase and 97.95%in the testing phase,with precision of 97.78%,and 98.40%for taring and testing,*** obtained results demonstrate improvements in other measurement criteria.

关键词： intrusion detection system(iDS) machine learning techniques stacking ensemble random forest decision tree k-nearest-neighbor

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Radiological Doses and Risk Assessment of NORm Scrap metal by Using RESRAD-RECYCLE Computer Code

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Open Journal of modelling and Simulation 2014年第2期2卷 34-42页

作者： amaal A. Tawfik Eman m. Ahmed Radiation Protection Department Nuclear and Radiological Regulatory Authority Nasr City Cairo Egypt

in this work the radiological dose and risks resulting from recycling of radioactive contaminated NORm scrap metal that produced from one of oil and gas production companies in Egypt, were determined by using RESRAD-RECYCLE computer code. Two scenarios were used: the first was the workers’ scenario, while the second was end-use product scenario. Workers’ scenario was used in this study for evaluating the dose and risk to workers who process recycled materials. This scenario focused on the transport of radioactive NORm scrap metal from the place of origin to the smelter (scrap delivery step). Scenarios for six different workers were included under the scrap delivery step: two workers scrap cutter, two workers scrap loader, and two workers scrap truck driver. The values for each scenario were specified on the basis of processing 200 tons of NORm scrap metal. Because these operations occur before melting of the metal, mass and radionuclide partitioning factors were not applied in the scrap metal delivery step. The radionuclide concentration of the NORm scrap metal was used directly in the dose calculation. The maximum doses received from direct external exposure to all radio nuclides during cutter/sorter, scrap truck driver and unloading of scrap metals were 2.14E-04, 1.4E-06 and 1.86E-05 (mSv) respectively. The excess cancer risks for all radio nuclides during cutter/sorter of scrap metals reached 1.25E-07. Radiation exposures incurred by the scrap unloaders and scrap cutters/sorters were greater than those incurred by the other workers for their closer exposure distances and longer time.

关键词： NORm Scrap metals Risk Assessment Dose Assessment RESRAD-RECYCLE Radioactive Waste

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