检索结果-南通市图书馆

Regional variation of pediatric inflammatory bowel disease in Saudi Arabia: Results from a multicenter study

World Journal of Gastroenterology 2020年第4期26卷 416-423页

作者： Mohammad I El Mouzan Mohammed H alEdreesi Mohammed Y Hasosah abdulrahman A al-Hussaini Ahmad A al Sarkhy Asaad A Assiri Department of Pediatrics Gastroenterology UnitKing Saud UniversityRiyadh11461Saudi Arabia Specialty Pediatrics Division Pediatric GastroenterologyJohns Hopkins Aramco HealthcareDhahran 31311Saudi Arabia Department of Pediatrics Gastroenterology UnitKing Saud bin Abdulaziz University for Health SciencesJeddah 21423Saudi Arabia Children Hospital Gastroenterology DivisionKing Fahad Medical CityRiyadh 11525Saudi Arabia Supervisor of Prince Abdullah Bin Khalid Celiac Disease Research Chair Gastroenterology UnitKing Saud UniversityRiyadh 11461Saudi Arabia

BACKGROUND Incidence and severity variations of inflammatory bowel disease(IBD)have been reported from Western populations between continents and regions of the same ***,no data were available from other *** To investigate the regional differences in the IBD profiles of pediatric patients from the Kingdom of Saudi *** Data from a national multicenter IBD study were *** incidence,time trend,and clinical presentation of Crohn’s disease(CD)and ulcerative colitis(UC)in the Central region(CR),Western region(WR),and Eastern region(ER)were analyzed and *** analysis included Poisson regression analysis for incidence variation and Chi-square test for demographic and clinical parameters.A Palence of positive family history was lower in children with CD from the ER than the CR or the *** rate was higher in children with CD and UC from the CR and the ER,*** incidences and time trends of CD and UC were not significantly different between *** the ER,a significantly higher percentage of children with CD presented with abdominal pain(Palbumin level(P=0.014).For children with UC from the ER,a significantly higher percentage presented with anemia(P=0.006)and a lower percentage with pancolitis(P<0.001).CONCLUSION The most important finding is the identification of significantly more severe presentation of CD in the ER of the Kingdom of Saudi *** studies are needed to explain such variations.

关键词： Crohn’s disease Ulcerative colitis Epidemiology Children Regional variation

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

Linear Active Disturbance Rejection Control with a Fractional-Order Integral Action

引用

Computers, Materials & Continua 2022年第11期73卷 3057-3079页

作者： Maâmar Bettayeb Rachid Mansouri Ubaid M.al-Saggaf abdulrahman U.alsaggaf Mohammed Moinuddin Electrical Engineering Department University of SharjahUnited Arab Emirates L2CSP Laboratory University Mouloud Mammeri of Tizi-OuzouAlgeria Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddahSaudi Arabia Electricaland Computer Engineering Department King Abdulaziz UniversityJeddahSaudi Arabia

Linear active disturbance rejection control(LADRC)is a powerful control structure thanks to its performance in uncertainties,internal and external disturbances estimation and *** extended state observer(ESO)based controller is the key to the LADRC *** this article,the LADRC scheme combined with a fractional-order integral action(FOILADRC)is proposed to improve the robustness of the standard *** the robust closed-loop Bode’s ideal transfer function(BITF),an appropriate pole placement method is proposed to design the set-point tracking controller of the FOI-LADRC *** simulations and experimental results on a cart-pendulum system will illustrate the effectiveness of the proposed FOI-LADRC scheme for the disturbance rejection,the set-point tracking and the improved *** illustrate the LADRC control schemes and to verify the performance of the proposed FOI-LADRC,compared to the standard LADRC and IOI-LADRC structures,two tests will be carried ***,simulation tests on an academic example will be presented to show the effect of the different parameters of the control law on the performance of the closed-loop ***,these three control structures are implemented on an experimental test bench,the cart-pendulum system,to show their efficiency and to show the superiority of the proposed method compared to the two other structures.

关键词： Fractional calculus active disturbance rejection control pole placement cart-pendulum system robust control

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

DNA-Barcoding of Some Medicinal Plant Species in Saudi Arabia Using rbcL and matK Genes

引用

Phyton-International Journal of Experimental Botany 2020年第4期89卷 1059-1081页

作者： abdulrahman alasmari Department of Biology Faculty of ScienceUniversity of TabukTabuk71491Saudi Arabia

In the Kingdom of Saudi Arabia(KSA),thousands of plants are considered to have therapeutic *** ambiguous use of identification mainly morphological characteristics of many plants has resulted in the adulteration and displacement of plant products which undermine their therapeutic value and weak documentation of plant *** aims of this study were therefore to evaluate genetic variability and explore the phylogeographic architecture for Saudi medicinal plant samples using rbcL and matK genes as barcodes for genomic *** matK and rbcL sequences collected for these samples were used as key markers for examining the relationship between Saudi medicinal plant species based on genetic *** our study we were successful in identifying and documenting 4 different species(Foeniculum vulgare,Nitraria retusa,Dodonaea viscosa,and Rumex nervosus)located in Saudi Arabia using DNA barcoding technique.A total number of 8 sequences were obtained with a total sequence length of 6176 bp,where it ranged from 617 bp to 878 bp with an aver-age length of 772 *** total number of rbcL sequences length is 2801 bp,where it ranges from 617 bp to 807 bp with an average length of 700.2 *** of the 4 plant samples used,only three samples were identified correctly on the species level with an identity percentage higher than 95%using rbcL ***,4 matK sequences have been retrieved belong to 4 *** total number of matK sequences length is 3375 bp,where it ranges from 819 bp to 878 bp with an average length of 843.8 *** of the 4 plant samples used,only two samples were identified correctly on the species level with an identity percentage higher than 98% using matK *** rbcL and matK have been able to identify most of our collected plant samples by genus,and some by *** only one DNA-barcoding technique was not reliable for plant identification,where matK and rbcL must be used as a dual DNA-barcoding procedure.

关键词： Phylogeographic architecture genomic identification DNA barcoding

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

Fireworks Optimization with Deep Learning-Based Arabic Handwritten Characters RecognitionModel

引用

Computer Systems Science & Engineering 2024年第5期48卷 1387-1403页

作者： Abdelwahed Motwakel Badriyya B.al-onazi Jaber S.alzahrani Ayman Yafoz Mahmoud Othman Abu Sarwar Zamani Ishfaq Yaseen Amgad Atta Abdelmageed Department of Computer and Self Development Prince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMakkah24211Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Handwritten character recognition becomes one of the challenging research *** studies were presented for recognizing letters of various *** availability of Arabic handwritten characters databases was *** a quarter of a billion people worldwide write and speak *** historical books and files indicate a vital data set for many Arab nationswritten in ***,Arabic handwritten character recognition(AHCR)has grabbed the attention and has become a difficult topic for pattern recognition and computer vision(CV).Therefore,this study develops fireworks optimizationwith the deep learning-based AHCR(FWODL-AHCR)*** intention of the FWODL-AHCR technique is to recognize the distinct handwritten characters in the Arabic *** initially pre-processes the handwritten images to improve their quality of ***,the RetinaNet-based deep convolutional neural network is applied as a feature extractor to produce feature ***,the deep echo state network(DESN)model is utilized to classify handwritten ***,the FWO algorithm is exploited as a hyperparameter tuning strategy to boost recognition *** simulations in series were performed to exhibit the enhanced performance of the FWODL-AHCR *** comparison study portrayed the supremacy of the FWODL-AHCR technique over other approaches,with 99.91%and 98.94%on Hijja and AHCD datasets,respectively.

关键词： Arabic language handwritten character recognition deep learning classification parameter tuning

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

Sailfish Optimizer with EfficientNet Model for Apple Leaf Disease Detection

引用

Computers, Materials & Continua 2023年第1期74卷 217-233页

作者： Mazen Mushabab alqahtani Ashit Kumar Dutta Sultan almotairi M.Ilayaraja Amani abdulrahman albraikan Fahd N.al-Wesabi Mesfer al Duhayyim Physical Therapy Department Majmaah UniversityMajmaah11952Saudi Arabia Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd Diriyah13713RiyadhSaudi Arabia Department of Natural and Applied Sciences Faculty of Community CollegeMajmaah UniversityMajmaah11952Saudi Arabia School of Computing Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid University62529Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’a1247Yemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam Bin Abdulaziz UniversitySaudi Arabia

Recent developments in digital cameras and electronic gadgets coupled with Machine Learning(ML)and Deep Learning(DL)-based automated apple leaf disease detection models are commonly employed as reasonable alternatives to traditional visual inspection *** this background,the current paper devises an Effective Sailfish Optimizer with EfficientNet-based Apple Leaf disease detection(ESFO-EalD)*** goal of the proposed ESFO-EalD technique is to identify the occurrence of plant leaf diseases *** this scenario,Median Filtering(MF)approach is utilized to boost the quality of apple plant leaf ***,SFO with Kapur’s entropy-based segmentation technique is also utilized for the identification of the affected plant region from test ***,Adam optimizer with EfficientNet-based feature extraction and Spiking Neural Network(SNN)-based classification are employed to detect and classify the apple plant leaf images.A wide range of simulations was conducted to ensure the effective outcomes of ESFO-EalD technique on benchmark *** results reported the supremacy of the proposed ESFO-EalD approach than the existing approaches.

关键词： Agriculture computer vision image processing deep learning metaheuristics image segmentation

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

Smartphones and traffic signals:A quantitative assessment for phone usage behavior on performance of signalized intersections

引用

Journal of Traffic and Transportation Engineering(English Edition) 2023年第4期10卷 611-632页

作者： Wael ElDessouki abdulrahman alManeea Department of Transportation and Traffic Engineering Imam Abdulrahman Bin Faisal UniversityDammam 31441Kingdom of Saudi Arabia

Modern smartphones differ vastly from classic cellphones with enormous capabilities,changing cellphones from making phone calls and short messages to pocket-sized computers with full internet *** downside of modern phone evolution is changing drivers’behavior and phone usage *** researchers have investigated the safety implications of phone usage while driving on accidents ***,the effect of phone usage on the performance of traffic facilities did not receive equal ***,this research aims to study the impact of smartphone usage on traffic signal *** parameters considered in the study were drivers’activity while waiting at the signal,startup lost time,and saturation flow *** study team covered 25 intersections in the study area,observed the activities of over 6800 drivers while waiting at the signal,and recorded their corresponding discharge *** study team then supplemented field data with a behavioral survey questionnaire for drivers living in the study area to interpret field ***,the collected data were processed and analyzed,resulting in mathematical models for the relationship between the reduction in saturation flow rate and the red time *** team found two primary *** study’s first finding was that the traditional concept for estimating startup lost time adopted by the highway capacity manual(HCM)appears *** field results revealed that the lost times caused by other distracted drivers upstream in the queue were comparable to the estimated startup lost time following the HCM method for estimating startup lost *** second finding was that the reduction in saturation flow rate at the traffic signal is an exponential function of the red time interval,reducing the overall capacity for the intersection and increasing the average ***,the authors suggest mitigating the problem and making recommendations for future research.

关键词： Signals Smartphone Saturation Flow Discharge Headway

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

Artificial Intelligence Based Solar Radiation Predictive Model Using Weather Forecasts

引用

Computers, Materials & Continua 2022年第4期71卷 109-124页

作者： Sathish Babu Pandu A.Sagai Francis Britto Pudi Sekhar P.Vijayarajan Amani abdulrahman albraikan Fahd N.al-Wesabi Mesfer al Duhayyim Department of Electrical and Electronics Engineering University College of EngineeringPanruti607106India Department of Mechanical Engineering Rohini College of Engineering&TechnologyPalkulam629401India Department of Electrical and Electronics Engineering Vignan’s Institute of Information TechnologyAndra Pradesh530046India Department of Electrical and Electronics Engineering University College of EngineeringBIT CampusTiruchirappalli620024India Department of Computer Science 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 Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Solar energy has gained attention in the past two decades,since it is an effective renewable energy source that causes no harm to the *** Irradiation Prediction(SIP)is essential to plan,schedule,and manage photovoltaic power plants and grid-based power generation *** models have been proposed for SIP in the literature while such studies demand huge volumes of weather data about the target location for a lengthy period of *** this scenario,commonly available Artificial Intelligence(AI)technique can be trained over past values of irradiance as well as weatherrelated parameters such as temperature,humidity,wind speed,pressure,and ***,in current study,the authors aimed at developing a solar irradiance prediction model by integrating big data analytics with AI models(BDAAI-SIP)using weather forecasting *** order to perform long-term collection of weather data,Hadoop MapReduce tool is *** proposed solar irradiance prediction model operates on different ***,data preprocessing take place using various sub processes such as data conversion,missing value replacement,and data ***,Elman Neural Network(ENN),a type of feedforward neural network is also applied for predictive *** is divided into input layer,hidden layer,loadbearing layer,and output *** overcome the insufficiency of ENN in choosing the value of weights and hidden layer neuron count,Mayfly Optimization(MFO)algorithm is *** order to validate the performance of the proposed model,a series of experiments was *** experimental values infer that the proposed model outperformed other methods used for comparison.

关键词： Solar irradiation prediction weather forecast artificial intelligence Elman neural network mayfly optimization

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

Parallel Inference for Real-Time Machine Learning Applications

引用

Journal of Computer and Communications 2024年第1期12卷 139-146页

作者： Sultan al Bayyat Ammar alomran Mohsen alshatti Ahmed almousa Rayyan almousa Yasir alguwaifli College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

Hyperparameter tuning is a key step in developing high-performing machine learning models, but searching large hyperparameter spaces requires extensive computation using standard sequential methods. This work analyzes the performance gains from parallel versus sequential hyperparameter optimization. Using scikit-learn’s Randomized SearchCV, this project tuned a Random Forest classifier for fake news detection via randomized grid search. Setting n_jobs to -1 enabled full parallelization across CPU cores. Results show the parallel implementation achieved over 5× faster CPU times and 3× faster total run times compared to sequential tuning. However, test accuracy slightly dropped from 99.26% sequentially to 99.15% with parallelism, indicating a trade-off between evaluation efficiency and model performance. Still, the significant computational gains allow more extensive hyperparameter exploration within reasonable timeframes, outweighing the small accuracy decrease. Further analysis could better quantify this trade-off across different models, tuning techniques, tasks, and hardware.

关键词： Machine Learning Models Computational Efficiency Parallel Computing Systems Random Forest Inference Hyperparameter Tuning Python Frameworks (TensorFlow PyTorch Scikit-Learn) High-Performance Computing

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

Sudden death in the southern region of Saudi Arabia:A retrospective study

引用

World Journal of Clinical Cases 2023年第20期11卷 4843-4851页

作者： Ahmed Mohamed Ahmed al-Emam abdulrahman Dajam Mohammed alrajhi Waleed alfaifi Mubarak al-Shraim Ahmed Mohamed Helaly Department of Pathology College of MedicineKing Khalid UniversityAsir 61421Saudi Arabia Forensic Medicine and Clinical Toxicology Mansoura UniversityMansoura 35516Egypt Medical School King Khalid UniversityAsir 61421Saudi Arabia Clinical Science Faculty of MedicineYarmouk UniversityIrbid 21163Jordan

BACKGROUND Sudden death is unanticipated,non-violent death taking place within the first 24 h after the onset of *** is a major public health problem ***,the effects of living at moderate altitude on mortality are poorly *** To retrospectively report the frequency and the main causes of sudden deaths in relation to total deaths at Asir Central Hospital,2255 m above sea level,in the southern region of Saudi Arabia over a period of 4 years from 2013 to *** The medical records of 1821 deaths were examined and showed 353 cases(19.4%)of sudden *** The highest incidence of sudden death was among the elderly(51%),whereas,the lowest was among children and adolescents(6.5%).With regard to gender,the incidence of sudden death was higher in males(54.4%)compared to 45.6% in *** this study,we found that the most common direct causes of sudden death were cardiovascular diseases(29.2%),respiratory disease(22.7%),infectious disease(12.2%),cancer(9.4%)and hematological diseases(6.2%).With respect to seasonal variation,the highest incidence was during winter(31.32%)followed by summer(25.8%).CONCLUSION The results of this study will help emergency physicians and health care providers to exercise due care to reduce the incidence of sudden death and raise public awareness about the impact of sudden death.

关键词： Sudden death High altitude Cardiovascular Gender distribution Age Seasonal variation

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

The SARS-CoV-2 pandemic course in Saudi Arabia:A dynamic epidemiological model

引用

Infectious Disease Modelling 2020年第1期5卷 766-771页

作者： Abdullah Murhaf al-Khani Mohamed Abdelghafour Khalifa abdulrahman almazrou Nazmus Saquib College of Medicine Sulaiman Al Rajhi UniversityP.O.Box 777BukairyahAl-Qassim51941Saudi Arabia

Objective:Saudi Arabia ranks second in the number of coronavirus disease 2019(COVID-19)cases in the Eastern Mediterranean *** houses the two most sacred religious places for Muslims:Mecca and *** is important to know what the trend in case numbers will be in the next 4e6 months,especially during the Hajj pilgrimage ***:Epidemiological data on COVID-19 were obtained from the Saudi Arabian Ministry of Health.A susceptible-exposed-infectious-recovered(SEIR)prediction model was constructed to predict the trend in COVID-19 in Saudi Arabia in the next 6 ***:The model predicts that the number of active cases will peak by 22 May *** cumulative infected cases are predicted to reach 70,321 at that *** total number of infected individuals is estimated reach to 114,580 by the end of the ***:Our estimates show that by the time the Hajj season commences in Saudi Arabia,the pandemic will be in the midst of its deceleration phase(phase 3).This information will likely be useful to policymakers in their management of the outbreak.

关键词： Epidemiology Infectious disease Outbreaks Surveillance Modelling

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：