检索结果-南通市图书馆

Relationship between Radiological Lung Findings and Laboratory Ferritin and D-Dimer Levels in Patients with COVID-19 Infection

引用

International Journal of Clinical Medicine 2022年第10期13卷 468-477页

作者： Mona F. Kardus Rana A. Hallak Ahmed Alakedi Noha Yusef Sindi hadeel abdullah alhawas Shine Rashed Hessa Al-Twalah Ibrahim Khoja Department of Laboratory Medicine Dr. Sulaiman Al Habib Hospital—ARRYAN Riyadh Saudi Arabia Department of Laboratory Medicine King Saud Medical City Riyadh Saudi Arabia

Introduction: Pulmonary symptoms of COVID-19 infection range from asymptomatic infection to severe pneumonia. Pathogenesis and severity of symptoms were found to be related to the body’s immune response. Objectives: Ferritin and D-Dimer in COVID-19 confirmed cases can predict lung injury and possible poor patient prognosis. Materials and Methods: Patients who had been admitted to Dr. Sulaiman Alhabib-Arryan Hospital with positive COVID-19 polymerase chain reaction (PCR) tests between March 2020 and December 2021 were studied for blood ferritin and D-Dimer levels in relation to pulmonary radiological findings. Results: A total of 494 cases are included in this study. Male patients represent 74.1% of the cases, and the mean age is 51.68 ± 13.37 years. Increased age, ferritin, D-Dimer levels, and respiratory symptoms are factors that showed a statistically significant association with positive computed tomography (CT) findings. Receiver operator characteristic curve (ROC) showed that ferritin has a higher capability than D-Dimer to detect CT findings and that both are equal in predicting possible patient mortality. Suggested cutoff values for Ferritin > 336 ng/mL, with 78.21% sensitivity and 86.42% specificity and for D-Dimer > 0.55 mg/L FEU, with sensitivity of 74.82% and specificity of 75.31%. For mortality, the suggested cutoff point for ferritin is >864.6 ng/mL, which gives a sensitivity of 80.26 and a specificity of 64.83%. The suggested cutoff point for D-Dimer is >1.46 mg/L FEU, which gives a sensitivity of 65.79% and a specificity of 78.23%. Conclusion: Laboratory markers such as Ferritin and D-Dimer can be an accurate predictor of lung injury in COVID-19 patients and their increased values can predict the poor patient prognosis and possible mortality if aggressive hospital care is not provided.

关键词： Ferritin COVID-19 D-Dimer

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Artificial Intelligence Based Optimal Functional Link Neural Network for Financial Data Science

引用

Computers, Materials & Continua 2022年第3期70卷 6289-6304页

作者： Anwer Mustafa Hilal hadeel Alsolai Fahd NAl-Wesabi Mohammed abdullah Al-Hagery Manar Ahmed Hamza Mesfer Al Duhayyim Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia&Faculty of Computer and ITSana’a UniversitySana’aYemen Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

In present digital era,data science techniques exploit artificial intelligence(AI)techniques who start and run small and medium-sized enterprises(SMEs)to have an impact and develop their *** science integrates the conventions of econometrics with the technological elements of data *** make use of machine learning(ML),predictive and prescriptive analytics to effectively understand financial data and solve related *** technologies for SMEs enable allows the firm to get smarter with their processes and offers efficient *** the same time,it is needed to develop an effective tool which can assist small to medium sized enterprises to forecast business failure as well as financial *** becomes a familiar tool for several businesses due to the fact that it concentrates on the design of intelligent decision making tools to solve particular real time *** this motivation,this paper presents a new AI based optimal functional link neural network(FLNN)based financial crisis prediction(FCP)model *** proposed model involves preprocessing,feature selection,classification,and parameter *** the initial stage,the financial data of the enterprises are collected and are preprocessed to enhance the quality of the ***,a novel chaotic grasshopper optimization algorithm(CGOA)based feature selection technique is applied for the optimal selection of ***,functional link neural network(FLNN)model is employed for the classification of the feature reduced ***,the efficiency of theFLNNmodel can be improvised by the use of cat swarm optimizer(CSO)algorithm.A detailed experimental validation process takes place on Polish dataset to ensure the performance of the presented *** experimental studies demonstrated that the CGOA-FLNN-CSO model has accomplished maximum prediction accuracy of 98.830%,92.100%,and 95.220%on the applied Polish dataset Year I-III respectively.

关键词： Data science small and medium-sized enterprises business sectors financial crisis prediction intelligent systems artificial intelligence decision making machine learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Opinions and attitudes toward targeted temperature management in the emergency department and intensive care unit in a developing country: a survey study

引用

World Journal of Emergency Medicine 2023年第2期14卷 138-142页

作者： abdullah Bakhsh hadeel Alotaibi Sara Alothman Abdulrahman Alothman Rahaf Alothman Abdulrahman Alsulami Malak Alamoudi Ali Alothman Ali Al-Shareef Department of Emergency Medicine the King Abdulaziz UniversityJeddah 21589Saudi Arabia Faculty of Medicine the King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Anesthesia Intensive Care Unitthe King Abdulaziz UniversityJeddah 21589Saudi Arabia College of Medicine King Saud Bin Abdulaziz University for Health SciencesCollege of MedicineJeddah 21589Saudi Arabia King Abdulaziz Medical City Jeddah 21589Saudi Arabia King abdullah International Medical Research Center Jeddah 21589Saudi Arabia

INTRODUCTION The past two decades have witnessed one of the most contentious scientific debates in the field of temperature management after cardiac arrest in *** started in 2002,following the publication of two groundbreaking trials showing lower mortality rates and improved neurologic recovery with the use of active cooling.[1,2]International recommendations advocate active cooling in the range of 32–34℃for comatose survivors of out-of-hospital cardiac arrest (OHCA).[3,4]The year2013 marked the tipping point with the release of the TTM 1 trial.

关键词： breaking release showing

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Together We Stand-Analyzing Schooling Behavior in Naive Newborn Guppies through Biorobotic Predators

引用

Journal of Bionic Engineering 2020年第1期17卷 174-184页

作者： Donato Romano hadeel Elayan Giovanni Benelli Cesare Stefanini The BioRobotics Institute Sant'Anna School of Advanced StudiesPontederaPisa 56025Italy Healthcare Engineering Innovation Center(HEIC) Khalifa UniversityAbu DhabiPO Box 127788United Arab Emirates Department of Excellence in Robotics&A.I. Sant'Anna School of Advanced StudiesPisa 56127Italy Department of Electrical and Computer Engineering University of TorontoON M5SCanada Department of Agriculture Food and EnvironmentUniversity of PisaPisa 56124Italy

A major advantage of animal aggregations concerns cooperative antipredator *** behavior emerges earlier in many fish species,especially in those cannibalizing their *** is fundamental for developing schooling ***,the cognitive ability of naive newborn fish to aggregate remains ***,Poecilia reticulata,was selected as model organism to investigate how combinations of biomimetic robotic agents and adult conspecific olfactory cues affect collective responses in *** role of white and brown backgrounds in evoking aggregations was also *** cues were sufficient for triggering aggregations in *** newborns,although robotic agents had a higher influence on the group *** combination of robotic agents and olfactory cues increased schooling behavior ***,schooling was longer in the escape compartment when robotic agents were presented,except for the combination of the male-mimicking robotic fish plus adult guppy olfactory cues,with longer schooling behavior in the exploring *** of the tested cues,newborn fish aggregated preferentially on the brown areas of the ***,this research provides novel insights on the early collective cognitive ability of newborn fish,paving the way to the use of biomimetic robots in behavioral ecology experiments,as substitutes for real predators.

关键词： animal-robot interaction technology bio-hybrid intelligent systems antipredator strategy group behavior Poecilia reticulata

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IoT & AI Enabled Three-Phase Secure and Non-Invasive COVID 19 Diagnosis System

引用

Computers, Materials & Continua 2022年第4期71卷 423-438页

作者： Anurag Jain Kusum Yadav hadeel Fahad Alharbi Shamik Tiwari Virtualization Department School of Computer ScienceUniversity of Petroleum and Energy StudiesDehradun248007UttarakhandIndia College of Computer Science and Engineering University of Ha’ilHa’ilKingdom of Saudi Arabia

Corona is a viral disease that has taken the form of an epidemic and is causing havoc worldwide after its first appearance in the Wuhan state of China in December *** to the similarity in initial symptoms with viral fever,it is challenging to identify this virus ***-detection of this virus at the early stage results in the death of the *** and densely populated countries face a scarcity of resources like hospitals,ventilators,oxygen,and healthcare *** like the Internet of Things(IoT)and artificial intelligence can play a vital role in diagnosing the COVID-19 virus at an early *** minimize the spread of the pandemic,IoT-enabled devices can be used to collect patient’s data remotely in a secure *** data can be analyzed through a deep learning model to detect the presence of the COVID-19 *** this work,the authors have proposed a three-phase model to diagnose covid-19 by incorporating a chatbot,IoT,and deep learning *** phase one,an artificially assisted chatbot can guide an individual by asking about some common *** case of detection of even a single sign,the second phase of diagnosis can be considered,consisting of using a thermal scanner and pulse *** case of high temperature and low oxygen saturation levels,the third phase of diagnosis will be recommended,where chest radiography images can be analyzed through an AI-based model to diagnose the presence of the COVID-19 virus in the human *** proposed model reduces human intervention through chatbot-based initial screening,sensor-based IoT devices,and deep learning-based X-ray *** also helps in reducing the mortality rate by detecting the presence of the COVID-19 virus at an early stage.

关键词： COVID-19 internet of things deep learning chatbot X-ray capsule network convolutional neural network

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

High-throughput computational screening for twodimensional magnetic materials based on experimental databases of three-dimensional compounds

引用

npj Computational Materials 2020年第1期6卷 350-361页

作者： Daniele Torelli hadeel Moustafa Karsten W.Jacobsen Thomas Olsen Computational Atomic-scale Materials Design(CAMD) Department of PhysicsTechnical University of DenmarkDK-2800 Kgs.LyngbyDenmark

We perform a computational screening for two-dimensional(2D)magnetic materials based on experimental bulk compounds present in the Inorganic Crystal Structure Database and Crystallography Open Database.A recently proposed geometric descriptor is used to extract materials that are exfoliable into 2D derivatives and we find 85 ferromagnetic and 61 antiferromagnetic materials for which we obtain magnetic exchange and anisotropy parameters using density functional *** the easy-axis ferromagnetic insulators we calculate the Curie temperature based on a fit to classical Monte Carlo simulations of anisotropic Heisenberg *** find good agreement with the experimentally reported Curie temperatures of known 2D ferromagnets and identify 10 potentially exfoliable 2D ferromagnets that have not been reported *** addition,we find 18 easy-axis antiferromagnetic insulators with several compounds exhibiting very strong exchange coupling and magnetic anisotropy.

关键词： magnetic compounds ferromagnetic

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Smart Shoes Safety System for the Blind People Based on (IoT) Technology

引用

Computers, Materials & Continua 2023年第7期76卷 415-436页

作者： Ammar Almomani Mohammad Alauthman Amal Malkawi hadeel Shwaihet Batool Aldigide Donia Aldabeek Karmen Abu Hamoodeh Research and Innovation Department Skyline University CollegeP.O.Box 1797SharjahUAE. IT-Department-Al-Huson University College Al-Balqa Applied UniversityP.O.Box 50IrbidJordan Department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan

People’s lives have become easier and simpler as technology has *** is especially true with the Internet of Things(IoT).The biggest problem for blind people is figuring out how to get where they want to *** with good eyesight need to help these *** shoes are a technique that helps blind people find their way when they ***,a special shoe has been made to help blind people walk safely without worrying about running into other people or solid *** this research,we are making a new safety system and a smart shoe for blind *** system is based on Internet of Things(IoT)technology and uses three ultrasonic sensors to allow users to hear and react to *** has ultrasonic sensors and a microprocessor that can tell how far away something is and if there are any *** and flame sensors were used,and a sound was used to let the person know if an obstacle was near *** sensors use Global Positioning System(GPS)technology to detect motion from almost every side to keep an eye on them and ensure they are *** test our proposal,we gave a questionnaire to 100 *** questionnaire has eleven questions,and 99.1%of the people who filled it out said that the product meets their needs.

关键词： IoT smart shoe sensors GSM GPS Arduino blind people safety system

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Ponatinib and gossypol act in synergy to suppress colorectal cancer cells by modulating apoptosis/autophagy crosstalk and inhibiting the FGF19/FGFR4 axis

引用

Asian Pacific Journal of Tropical Biomedicine 2023年第3期13卷 131-138页

作者： Naglaa M.El-Lakkany hadeel H.Elkattan Alaa E.Elsisi Department of Pharmacology Theodor Bilharz Research InstituteWarrak El-HadarImbabaGiza 12411Egypt Department of Pharmacology and Toxicology Faculty of PharmacyTanta UniversityTantaEgypt

Objective:To evaluate the efficacy of ponatinib plus gossypol against colorectal cancer HCT-116 and Caco-2 ***:Cells were treated with ponatinib and/or gossypol at increasing concentrations to evaluate synergistic drug interactions by combination *** viability,FGF19/FGFR4,and apoptotic and autophagic cell death were ***:Ponatinib(1.25-40μM)and gossypol(2.5-80μM)monotherapy inhibited HCT-116 and Caco-2 cell viability in a doseand time-dependent *** combination of ponatinib and gossypol at a ratio of 1 to 2 significantly decreased cell viability(P2-and>4-fold reduction in IC50,respectively,after 24 h and 48 h,as compared to the IC50 of *** combined concentrations showed greater synergism(combination index<1)with a higher ponatinib dose reduction ***,ponatinib plus gossypol induced morphological changes in HCT-116and Caco-2 cells,increased beclin-1 and caspase-3,and decreased FGF19,FGFR4,Bcl-2 and p-Akt as compared to treatment with drugs ***:Gossypol enhances ponatinib's anticancer effects against colorectal cancer cells through antiproliferative,apoptotic,and autophagic *** may open the way for the future use of ponatinib at lower doses with gossypol as a potentially safer targeted strategy for colorectal cancer treatment.

关键词： Autophagy Apoptosis Cell viability FGF19/FGFR4 Gossypol Ponatinib HCT-116 Caco-2 Colorectal cancer

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Leveraging Gradient-Based Optimizer and Deep Learning for Automated Soil Classification Model

引用

Computers, Materials & Continua 2023年第7期76卷 975-992页

作者： hadeel Alsolai Mohammed Rizwanullah Mashael Maashi Mahmoud Othman Amani A.Alneil Amgad Atta Abdelmageed Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityP.O.box 103786Riyadh11543Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Soil classification is one of the emanating topics and major concerns in many *** the population has been increasing at a rapid pace,the demand for food also increases *** approaches used by agriculturalists are inadequate to satisfy the rising demand,and thus they have hindered soil *** comes a demand for computer-related soil classification methods to support *** study introduces a Gradient-Based Optimizer and Deep Learning(DL)for Automated Soil Clas-sification(GBODL-ASC)*** presented GBODL-ASC technique identifies various kinds of soil using DL and computer vision *** the presented GBODL-ASC technique,three major processes are *** the initial stage,the presented GBODL-ASC technique applies the GBO algorithm with the EfficientNet prototype to generate feature *** soil categorization,the GBODL-ASC procedure uses an arithmetic optimization algorithm(AOA)with a Back Propagation Neural Network(BPNN)*** design of GBO and AOA algorithms assist in the proper selection of parameter values for the EfficientNet and BPNN models,*** demonstrate the significant soil classification outcomes of the GBODL-ASC methodology,a wide-ranging simulation analysis is performed on a soil dataset comprising 156 images and five *** simulation values show the betterment of the GBODL-ASC model through other models with maximum precision of 95.64%.

关键词： Soil classification earth sciences machine learning parameter optimization metaheuristics

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Machine Learning Based Depression,Anxiety,and Stress Predictive Model During COVID-19 Crisis

引用

Computers, Materials & Continua 2022年第3期70卷 5803-5820页

作者： Fahd N.Al-Wesabi hadeel Alsolai Anwer Mustafa Hilal Manar Ahmed Hamza Mesfer Al Duhayyim Noha Negm Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Computer Science Department King Khaled UniversityKSA Faculty of Science Mathematics and Computer Science DepartmentMenoufia UniversityEgypt

Corona Virus Disease-2019(COVID-19)was reported at first in Wuhan city,China by December *** Health Organization(WHO)declared COVID-19 as a pandemic i.e.,global health crisis onMarch 11,*** outbreak of COVID-19 pandemic and subsequent lockdowns to curb the spread,not only affected the economic status of a number of countries,but it also resulted in increased levels of Depression,Anxiety,and Stress(DAS)among ***,there is a need exists to comprehend the relationship among psycho-social factors in a country that is hypothetically affected by high levels of stress and fear;with tremendously-limitingmeasures of social distancing and lockdown in force;and with high rates of new cases and *** this motivation,the current study aims at investigating theDAS levels among college students during COVID-19 lockdown since they are identified as a highly-susceptible *** current study proposes to develop Intelligent Feature Subset Selection withMachine Learning-based DAS predictive(IFSSML-DAS)*** presented IFSSML-DAS model involves data preprocessing,Feature Subset Selection(FSS),classification,and parameter ***,IFSSML-DAS model uses Group Gray Wolf Optimization based FSS(GGWO-FSS)technique to reduce the curse of *** addition,Beetle Swarm Optimization based Least Square Support Vector Machine(BSO-LSSVM)model is also employed for classification in which the weight and bias parameters of the LSSVM model are optimally adjusted using BSO *** performance of the proposed IFSSML-DAS model was tested using a benchmark DASS-21 dataset and the results were investigated under different *** outcome of the study suggests the development of specialized programs to handleDAS among population so as to overcome COVID-19 crisis.

关键词： Psycho-social factors covid-19 crisis management predictive models decision making machine learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：