检索结果-南通市图书馆

Hypolipidemic activity of Tamarix articulata Vahl. in diabetic rats

Journal of Integrative Medicine 2017年第6期15卷 476-482页

作者： morad hebi mohamed eddouks faculty of sciences and techniques errachidia moulay ismail universityBoutalamine52000 Errachidia Morocco

OBJECTIVE： Tamarix articulata Vahl. （Tamaricaceae） is a medicinal plant commonly used in Morocco for the treatment of diabetes mellitus and cardiovascular diseases. The objective of this study was to evaluate the hypolipidemic activity of aqueous extract of T. articulata in normal and streptozotocin （STZ）-induced diabetic rats. Phytochemical analysis as well as determination of polyphenol and flavonoid contents in the aqueous extract of T. articulata was performed. METHODS： The effects of oral administration of aqueous extract of T. articulata （5 mg/kg） on the plasma total cholesterol, triglyceride and high-density lipoprotein cholesterol （HDL-c） concentrations were measured in both normal and STZ-induced diabetic rats. Total phenolic content of the aqueous extract was determined by Folin-Ciocalteu method. In addition, determination of flavonoid content was performed using colorimetric AICI3 method. RESULTS： A single oral administration in diabetic rats induced a significant increase in the HDL-c concentration after 6 h of treatment with T. articulata （5 mg/kg）. The results also demonstrated that the aqueous extract of T. articulata produced a significant decrease of serum total cholesterol after repeated oral administration in diabetic rats （P 〈 0.01）. The total polyphenol and flavonoid contents of T. articulata aqueous extract were equal to 102.50 mg of gallic acid equivalent per gram of extract and 54.83 mg of quercetin equivalent per gram of extract, respectively. CONCLUSION： According to preliminary phytochemical screening of the aerial part of T. articulata, severa classes of chemicals have been found, such as polyphenols, flavonoids, tannins, cyanidins （flavones, catechols）, mucilage, sesquiterpenes, terpenoids and carbohydrates. In conclusion, T. articulata exhibits a hypolipidemic effect in diabetic rats and its beneficial role as hypolipidemic agent should be evaluated in clinical studies.

关键词： hypolipidemic streptozotocin total cholesterol triglycerides flavonoids

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

Effect of Feature Selection on the Prediction of Direct Normal Irradiance

引用

Big Data Mining and Analytics 2022年第4期5卷 309-317页

作者： Mohamed Khalifa Boutahir Yousef Farhaoui Mourade Azrour Imad Zeroual Ahmad El Allaoui faculty of sciences and techniques Moulay Ismail UniversityErrachidia 52000Morocco

Solar radiation is capable of producing heat,causing chemical reactions,or generating ***,the amount of solar radiation at different times of the day must be determined to design and equip all solar ***,it is necessary to have a thorough understanding of different solar radiation components,such as Direct Normal Irradiance(DNI),Diffuse Horizontal Irradiance(DHI),and Global Horizontal Irradiance(GHI).Unfortunately,measurements of solar radiation are not easily accessible for the majority of regions on the *** paper aims to develop a set of deep learning models through feature importance algorithms to predict the DNI *** proposed models are based on historical data of meteorological parameters and solar radiation properties in a specific location of the region of errachidia,Morocco,from January 1,2017,to December 31,2019,with an interval of 60 *** findings demonstrated that feature selection approaches play a crucial role in forecasting of solar radiation accurately when compared with the available data.

关键词： machine learning deep learning feature importance renewable energies solar radiation

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

Photobiomodulation:a novel approach to promote trans-differentiation of adipose-derived stem cells into neuronal-like cells

引用

Neural Regeneration Research 2025年第2期20卷 598-608页

作者： Daniella Da Silva Madeleen Jansen van Rensburg Anine Crous Heidi Abrahamse Laser Research Centre Faculty of Health SciencesUniversity of JohannesburgDoornfonteinJohannesburgSouth Africa

Photobiomodulation,originally used red and near-infrared lasers,can alter cellular *** has been demonstrated that the visible spectrum at 451-540 nm does not necessarily increase cell proliferation,near-infrared light promotes adipose stem cell proliferation and affects adipose stem cell migration,which is necessary for the cells homing to the site of *** this in vitro study,we explored the potential of adipose-derived stem cells to differentiate into neurons for future translational regenerative treatments in neurodegenerative disorders and brain *** investigated the effects of various biological and chemical inducers on trans-differentiation and evaluated the impact of photobiomodulation using 825 nm near-infrared and 525 nm green laser light at 5 J/*** adipose-derived stem cells can be used in autologous grafting and photobiomodulation has been shown to have biostimulatory *** findings reveal that adipose-derived stem cells can indeed trans-differentiate into neuronal cells when exposed to inducers,with pre-induced cells exhibiting higher rates of proliferation and trans-differentiation compared with the control ***,green laser light stimulation led to notable morphological changes indicative of enhanced trans-differentiation,while near-infrared photobiomodulation notably increased the expression of neuronal *** biochemical analysis and enzyme-linked immunosorbent assays,we observed marked improvements in viability,proliferation,membrane permeability,and mitochondrial membrane potential,as well as increased protein levels of neuron-specific enolase and ciliary neurotrophic ***,our results demonstrate the efficacy of photobiomodulation in enhancing the trans-differentiation ability of adipose-derived stem cells,offering promising prospects for their use in regenerative medicine for neurodegenerative disorders and brain injuries.

关键词： differentiation inducers green photobiomodulation immortalized adipose-derived stem cell near-infrared photobiomodulation neurodegenerative disease neurogenesis photobiomodulation trans-differentiation

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

A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease

引用

Big Data Mining and Analytics 2023年第3期6卷 263-272页

作者： Abdelaaziz Hessane Ahmed El Youssefi Yousef Farhaoui Badraddine Aghoutane Fatima Amounas STI Laboratory IDMSFaculty of Sciences and TechniquesMoulay Ismail University of MeknesErrachidia 52000Morocco. IA Laboratory Department of Computer ScienceFaculty of SciencesMoulay Ismail University of MeknesMeknes 50070Morocco. RO.AL&I Group Computer Sciences DepartmentFaculty of Sciences and TechniquesMoulay Ismail University of MeknesErrachidia 52000Morocco.

Date palm production is critical to oasis agriculture,owing to its economic importance and nutritional *** diseases endanger this precious tree,putting a strain on the economy and *** scale Parlatoria blanchardi is a damaging bug that degrades the quality of *** an infestation reaches a specific degree,it might result in the tree’s *** counter this threat,precise detection of infected leaves and its infestation degree is important to decide if chemical treatment is *** decision is crucial for farmers who wish to minimize yield losses while preserving production *** this purpose,we propose a feature extraction and machine learning(ML)technique based framework for classifying the stages of infestation by white scale disease(WSD)in date palm trees by investigating their leaflets images.80 gray level co-occurrence matrix(GLCM)texture features and 9 hue,saturation,and value(HSV)color moments features are extracted from both grayscale and color images of the used *** classify the WSD into its four classes(healthy,low infestation degree,medium infestation degree,and high infestation degree),two types of ML algorithms were tested;classical machine learning methods,namely,support vector machine(SVM)and k-nearest neighbors(KNN),and ensemble learning methods such as random forest(RF)and light gradient boosting machine(LightGBM).The ML models were trained and evaluated using two datasets:the first is composed of the extracted GLCM features only,and the second combines GLCM and HSV *** results indicate that SVM classifier outperformed on combined GLCM and HSV features with an accuracy of 98.29%.The proposed framework could be beneficial to the oasis agricultural community in terms of early detection of date palm white scale disease(DPWSD)and assisting in the adoption of preventive measures to protect both date palm trees and crop yield.

关键词： machine learning feature extraction ensemble learning diseases precision agriculture date palm

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

Design and analysis of a recommendation system based on collaborative filtering techniques for big data

引用

Intelligent and Converged Networks 2023年第4期4卷 296-304页

作者： Najia Khouibiri Yousef Farhaoui Ahmad El Allaoui STI Laboratory IDMT-IDMSFaculty of Sciences and Techniques ErrachidiaMoulay Ismail UniversityMeknes 5003Morocco

Online search has become very popular,and users can easily search for any movie title;however,to easily search for moving titles,users have to select a title that suits their ***,people will have difficulty choosing the film they want to *** process of choosing or searching for a film in a large film database is currently time-consuming and *** spend extensive time on the internet or on several movie viewing sites without success until they find a film that matches their *** happens especially because humans are confused about choosing things and quickly change their ***,the recommendation system becomes *** study aims to reduce user effort and facilitate the movie research ***,we used the root mean square error scale to evaluate and compare different models adopted in this *** models were employed with the aim of developing a classification model for predicting ***,we tested and evaluated several cooperative filtering *** used four approaches to implement sparse matrix completion algorithms:k-nearest neighbors,matrix factorization,co-clustering,and slope-one.

关键词： recommendation system machine learning collaborative filtering(CF) decision support system big data

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

An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security

引用

Big Data Mining and Analytics 2023年第3期6卷 273-287页

作者： Mouaad Mohy-Eddine Azidine Guezzaz Said Benkirane Mourade Azrour Yousef Farhaoui Technology Higher School Cadi Ayyad UniversityEssaouira 44000Morocco IDMS Team Faculty of Sciences and TechniquesMoulay Ismail University of MeknesErrachidia 52000Morocco

Industrial Internet of Things(IIoT)represents the expansion of the Internet of Things(IoT)in industrial *** is designed to implicate embedded technologies in manufacturing fields to enhance their ***,IIoT involves some security vulnerabilities that are more damaging than those of ***,Intrusion Detection Systems(IDSs)have been developed to forestall inevitable harmful *** survey the environment to identify intrusions in real *** study designs an intrusion detection model exploiting feature engineering and machine learning for IIoT *** combine Isolation Forest(IF)with Pearson’s Correlation Coefficient(PCC)to reduce computational cost and prediction *** is exploited to detect and remove outliers from *** apply PCC to choose the most appropriate *** and IF are applied exchangeably(PCCIF and IFPCC).The Random Forest(RF)classifier is implemented to enhance IDS *** evaluation,we use the Bot-IoT and NF-UNSW-NB15-v2 ***-PCCIF and RF-IFPCC show noteworthy results with 99.98%and 99.99%Accuracy(ACC)and 6.18 s and 6.25 s prediction time on Bot-IoT,*** two models also score 99.30%and 99.18%ACC and 6.71 s and 6.87 s prediction time on NF-UNSW-NB15-v2,*** prove that our designed model has several advantages and higher performance than related models.

关键词： Industrial Internet of Things(IIoT) isolation forest Intrusion Detection Dystem(IDS) intrusion Pearson’s Correlation Coefficient(PCC) random forest

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

Translational challenges in amyotrophic lateral sclerosis therapy with macrophage migration inhibitory factor

引用

Neural Regeneration Research 2025年第9期20卷 2583-2584页

作者： Leenor Alfahel Aleksandar Rajkovic Adrian Israelson Department of Physiology and Cell Biology Faculty of Health SciencesBen-Gurion University of the NegevBeer ShevaIsraelThe School of Brain Sciences and CognitionBen-Gurion University of the NegevBeer ShevaIsrael

Macrophage migration inhibitory factor(MIF):MIF acts as a pleiotropic inflammatory mediator,playing regulatory roles in innate and adaptive immunity,neuroinflammation,neuroendocrine functions,and nervous system development(Matejuk et al.,2024).In recent years,MIF has attra cted significant inte rest from research groups as a potential target for the treatment of various neurodegenerative diseases,including Alzheimer's disease,Parkinson's disease,multiple sclerosis,and glioblastoma(Matejuk et al.,2024).

关键词： immunity sclerosis

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

Predicting Students’Final Performance Using Artificial Neural Networks

引用

Big Data Mining and Analytics 2022年第4期5卷 294-301页

作者： Tarik Ahajjam Mohammed Moutaib Haidar Aissa Mourad Azrour Yousef Farhaoui Mohammed Fattah Department of Computer Science Faculty of Sciences and TechniquesMoulay Ismail UniversityErrachidia 52000Morocco IMAGE Laboratory Moulay Ismail UniversityMeknes 50000Morocco

Artificial Intelligence(AI)is based on algorithms that allow machines to make decisions for *** technology enhances the users’experience in various *** studies have been conducted in the field of education to solve the problem of student orientation and performance using various Machine Learning(ML)*** main goal of this article is to predict Moroccan students’performance in the region of Guelmim Oued Noun using an intelligent system based on neural networks,one of the best data mining techniques that provided us with the best results.

关键词： data science Artificial Intelligence(AI) Machine Learning(ML) neural networks prediction recommendation high school data analysis

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 techniques in Predicting Hot Deformation Behavior of Metallic Materials

引用

Computer Modeling in Engineering & sciences 2025年第1期142卷 713-732页

作者： Petr Opela Josef Walek Jaromír Kopecek Department of Metallurgical Technologies Faculty of Materials Science and TechnologyVSB–Technical University of OstravaOstrava70800Czech Republic FZU—Institute of Physics of the Czech Academy of sciences Prague18200Czech Republic

In engineering practice,it is often necessary to determine functional relationships between dependent and independent *** relationships can be highly nonlinear,and classical regression approaches cannot always provide sufficiently reliable ***,Machine Learning(ML)techniques,which offer advanced regression tools to address complicated engineering issues,have been developed and widely *** study investigates the selected ML techniques to evaluate their suitability for application in the hot deformation behavior of metallic *** ML-based regression methods of Artificial Neural Networks(ANNs),Support Vector Machine(SVM),Decision Tree Regression(DTR),and Gaussian Process Regression(GPR)are applied to mathematically describe hot flow stress curve datasets acquired experimentally for a medium-carbon *** the GPR method has not been used for such a regression task before,the results showed that its performance is the most favorable and practically unrivaled;neither the ANN method nor the other studied ML techniques provide such precise results of the solved regression analysis.

关键词： Machine learning Gaussian process regression artificial neural networks support vector machine hot deformation behavior

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

Brain age estimation:premise,promise,and problems

引用

Neural Regeneration Research 2025年第8期20卷 2313-2314页

作者： Jarrad Perron Ji Hyun Ko Graduate Program in Biomedical Engineering Price Faculty of EngineeringUniversity of ManitobaWinnipegMBCanada PrairieNeuro Research Centre Kleysen Institute for Advanced MedicineHealth Sciences CentreWinnipegMBCanada Department of Human Anatomy and Cell Science Rady Faculty of Health SciencesUniversity of ManitobaWinnipegMBCanada

Premise:The com bined effects of modern healthcare practices which prolong lifespan and declining birthrates have created unprecedented changes in age demographics worldwide that are especially pronounced in Japan,South Korea,Europe,and North *** old age is the most significant predictor of dementia,global healthcare systems must rise to the challenge of providing care for those with neurodegenerative disorders.

关键词： estimation providing birth

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

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：