检索结果-南通市图书馆

High strength Al-Cu-mg based alloy with synchronous improved tensile properties and hot-cracking resistance suitable for laser powder b e d fusion

引用

Journal of materials Science & Technology 2023年第10期141卷 155-170页

作者： Q.Z.Wang N.Kang X.Lin m.el mansori W.D.Huang State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an 710072China Arts et metiers Institute of Technology MSMPHESAM UniversitéChâlons-en-Champagne F-51006France Key Laboratory of metal High Performance Additive manufacturing and Innovative Design MIIT ChinaNorthwestern Polytechnical UniversityXi’an 710072China Texas A&m Engineering Experiment Station Institute for Manufacturing SystemsCollege StationTX 77843USA

In present work,a novel crack-free Al-Cu-mg-Si-Ti alloy with synchronous improved tensile properties and hot-cracking resistance was proposed and successfully manufactured by laser powder bed fusion(LPBF).The microstructure evolution behaviors and the corresponding strengthening mechanisms were investigated in *** LPBF-processed Al-Cu-mg-Si-Ti alloy presents a heterogeneous microstructure consisting of ultrafine equiaxed grains(UFGs)at the boundary and coarse columnar grains(CGs)at the center of the single molten ***-precipitated D022-Al 3 Ti particles were found to act as the nuclei to refine the grains at the boundary of the molten pool during solidification process,which is attributed to the low cooling rate providing the sufficient incubation time for the precipitation of D022-Al 3 *** are two orientation relationships(ORs)betweenα-Al and D022-Al 3 Ti,i.e.[001]α-Al//[001]D022-Al3Ti,(200)α-Al//(200)D022-Al3Ti and[1¯1¯2]α-Al//[¯111]D022-Al3Ti,(1¯11)α-Al//(¯11¯2)D022-Al3Ti,which are two of the eight ORs predicted with the E2Em *** grains in present alloy,no matter for UFGs or CG,exhibited high critical hot-cracking stress,which means a strong hot-cracking ***-nanoprecipitation of Cu-,mg-,and Si-rich Q’and S’phases was introduced to enhance the mechanical performance ofα-Al *** as-built sample exhibits superior tensile properties,with the yield strength(YS)of 473±8 mPa,ultimate tensile strength(UTS)of 541±2 mPa and elongation(EI)of 10.9%±1.2%.

关键词： Laser powder bed fusion High strength Al-Cu-mg alloys Duplex microstructure Precipitation Tensile properties

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

Radiolabeling, docking studies, in silico ADmE and biological evaluation of serotonin with 125I for 5-HTRs imaging

引用

Nuclear Science and Techniques 2020年第8期31卷 64-71页

作者： Dina m.el-Sharawy marwa S.el Refaye H.Hussien Asmaa m.Aboulmagd Labeled Compounds Department Hot Lab.CenterEgyptian Atomic Energy Authority(EAEA)P.O.Box 13759CairoEgypt Radioactive Isotopes and Generators Department Hot Lab.CenterEgyptian Atomic Energy Authority(EAEA)P.O.Box 13759CairoEgypt Cyclotron Project Nuclear Research CenterCairoEgypt Pharmaceutical Chemistry Department Faculty of PharmacyNahda UniversityBeni SuefEgypt Pharmaceutics and Clinical Pharmacy Department Faculty of PharmacyNahda UniversityBeni SuefEgypt

Serotonin is one of the significant signaling molecules used by several neural systems in the gut and brain. This study aimed to develop a novel and potent tracer for targeting, detecting, and imaging serotonin receptors(5-HTRs), which is a promising tool in the determination of the receptor’s function and relationship with the diseases related to serotonin and its receptor dysfunction. Serotonin was effectively labeled via a direct electrophilic substitutional reaction using an oxidizing agent such as iodogen with 125I in a neutral medium, and 125I-serotonin was achieved with a maximum labeling yield of 91 ± 0.63% with in vitro stability up to 24 h. molecular modeling was conducted to signify 125I-serotonin structure and confirm that the radiolabeling process did not affect serotonin binding ability to its receptors. Biodistribution studies show that the maximum gastro intestinal tract uptake of 125I-serotonin was 17.8 ± 0.93% ID/organ after 30 min postinjection and the tracer’s ability to pass the blood–brain barrier. Thus, 125I-serotonin is a promising single photon emission computed tomography tracer in the detection of 5 HTRs.

关键词： Serotonin electrophilic substitution molecular modeling 5HTRs

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

Hybrid Grey Wolf and Dipper Throated Optimization in Network Intrusion Detection Systems

引用

Computers, materials & Continua 2023年第2期74卷 2695-2709页

作者： Reem Alkanhel Doaa Sami Khafaga el-Sayed m.el-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Rashid Amin mostafa Abotaleb B.m.el-den Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science University of Engineering and TechnologyTaxilaPakistan Department of System Programming South Ural State UniversityChelyabinsk454080Russia

The Internet of Things(IoT)is a modern approach that enables connection with a wide variety of devices *** to the resource constraints and open nature of IoT nodes,the routing protocol for low power and lossy(RPL)networks may be vulnerable to several routing ***’s why a network intrusion detection system(NIDS)is needed to guard against routing assaults on RPL-based IoT *** imbalance between the false and valid attacks in the training set degrades the performance of machine learning employed to detect network ***,we propose in this paper a novel approach to balance the dataset classes based on metaheuristic optimization applied to locality-sensitive hashing and synthetic minority oversampling technique(LSH-SmOTE).The proposed optimization approach is based on a new hybrid between the grey wolf and dipper throated optimization *** prove the effectiveness of the proposed approach,a set of experiments were conducted to evaluate the performance of NIDS for three cases,namely,detection without dataset balancing,detection with SmOTE balancing,and detection with the proposed optimized LSHSOmTE *** results showed that the proposed approach outperforms the other approaches and could boost the detection *** addition,a statistical analysis is performed to study the significance and stability of the proposed *** conducted experiments include seven different types of attack cases in the RPL-NIDS17 *** on the 2696 CmC,2023,vol.74,no.2 proposed approach,the achieved accuracy is(98.1%),sensitivity is(97.8%),and specificity is(98.8%).

关键词： metaheuristics grey wolf optimization dipper throated optimization dataset balancing locality sensitive hashing SmOTE

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

Achillea fragrantissima,rich in flavonoids and tannins,potentiates the activity of diminazine aceturate against Trypanosoma evansi in rats

引用

Asian Pacific Journal of Tropical medicine 2016年第3期9卷 223-229页

作者： Ibrahim m.el-Ashmawy Naser A.Al-Wabel Aida E.Bayad Department of Veterinary medicine College of Agricultural and Veterinary Medicine.Qassim University Department of Pharmacology.Faculty of Veterinary medicine.Alexandria University Veterinary Services Center Faculty of Veterinary MedicineAlexandria University

Objective:To evaluate activity of methanol extract of Achillea fragrantissima(meth)(***) alone or in combination with diminazine aceturate(DA) against Trypanosoma evansi in experimentally infected ***:Sixty adult male Wister albino rats were divided equally into 6 groups(A-F).Rats in groups A-E were experimentally infected with *** and those in group F were *** groups were treated respectively as follows:group A- with 3.5 mg/kg DA;group B- with 1 000 mg/kg meth,***;group C-3.5mg/kg DA plus 500 mg/kg meth ***;group D-3.5 mg/kg DA plus 1 000 mg/kg meth *** E was left ***,survivability,packed cell volume,hemoglobin concentration,total leucocytes count,lymphocyte count,and serum malondialdehyde and reduced glutathione(GSH) levels were *** screening of meth *** was also ***:The phytochemical analysis of the meth *** indicated a higher content from polyphenols tannins and non tannins and *** efficacy percentage against trypanosomiasis in groups A to E was respectively as follows 80,40,90.100,*** administration of ***(1000)mg/kg ***.) produced a moderate efficacy against *** rats in group E died between 25 and 30 d post *** rats given DA and meth *** combinations(C and D) showed faster and higher recovery rates than the uninfected control and groups A and *** initial reduction in packed cell volume,hemoglobin,total leucocytes count,increases in serum malondialdehyde and decreases in GSH levels were reversed by the treatments.C onclusions:The administration of the methanol extracts of *** and DA combination therapy was more effective than each product alone in the treatment of rats infected with Trypanosoma evansi and further studies are required to isolate more active ingredients.

关键词： Achillea fragrantissima Trypanosoma evansi Flavonoids malondialdehyde Reduced glutathione Rats

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

Optimal performance of water-oil axial jet pump in an egyptian offshore oil field

引用

Petroleum Research 2023年第4期8卷 561-571页

作者： A.A.A.Sheha K.A.Ibrahim H.A.Abdalla I.m.Sakr Samy m.el-Behery Offshore Operations Department Section Head PetroGulf Misr Petroleum Company10St.250 Sarayat El-MaadiCairoEgypt mechanical Power Engineering Department Faculty of EngineeringMenoufia UniversityShebin El-KomEgypt

The jet pump is an artificial lift employed when the reservoir pressure declines and the well deviation *** use of computer well models for optimizing the oil well output has proven to be a suc-cessful strategy,and has helped increasing the efficiency and production of numerous *** objective of this study was to use a production optimization technique that achieves some improve-ments,and recommend approaches toward increasing the oil well *** effects of the motive fluid flow rate and pressure on the oil production rate were investigated to determine the optimal in-jection rate and pressure on the performance of the deep well water-oil axial ***,the effects of the well-head pressure,water cut,and roughness of tubing on oil production of this jet pump type were *** results revealed that the impact on the oil lift performance is *** oil production increased by 19.43%,and the optimal economic value for the injection rate and pressure for the GA-1A well are 744.44 BFPD and 2722.22 psig,*** summary,increasing the tubing roughness decreased the well's total liquid ***,maintaining the well integrity is a very important factor because not doing so can lower the productivity by up to 20%-25%.

关键词： Water-oil jet pump PROSPER Performance Roughness Oil production

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

Solid Waste management:A mADm Approach Using Fuzzy Parameterized Possibility Single-Valued Neutrosophic Hypersoft Expert Settings

引用

Computer modeling in Engineering & Sciences 2025年第1期142卷 531-553页

作者： Tmader Alballa muhammad Ihsan Atiqe Ur Rahman Noorah Ayed Alsorayea Hamiden Abd el-Wahed Khalifa Department of mathematics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia 2 Department of mathematics University of Management and TechnologyLahore54000Pakistan Department of mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

The dramatic rise in the number of people living in cities has made many environmental and social problems *** search for a productive method for disposing of solid waste is the most notable of these *** scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated *** goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site *** characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these *** tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s *** this,an intelligent algorithm is *** steps of the suggested algorithm are explained with an example that explains *** compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their *** study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,*** uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior *** is simpler for the decisionmakers to look at each option separately because the decision is *** the computed results,it is discovered that they are consistent and dependable because of their preferred properties.

关键词： Hypersoft expert set Sanchez’s method decision making optimization solid waste management possibility grade fuzzy parameterization

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

Transfer Learning for Chest X-rays Diagnosis Using Dipper Throated Algorithm

引用

Computers, materials & Continua 2022年第11期73卷 2371-2387页

作者： Hussah Nasser AlEisa el-Sayed m.el-kenawy Amel Ali Alhussan mohamed Saber Abdelaziz A.Abdelhamid Doaa Sami Khafaga Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt electronics and Communications Engineering Department Faculty of EngineeringDelta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

most children and elderly people worldwide die from pneumonia,which is a contagious illness that causes lung *** diagnosing pneumonia from chest X-ray images,many deep learning models have been put *** goal of this research is to develop an effective and strong approach for detecting and categorizing pneumonia *** varying the deep learning approach,three pre-trained models,GoogLeNet,ResNet18,and DenseNet121,are employed in this research to extract the main features of pneumonia and normal *** addition,the binary dipper throated optimization(DTO)algorithm is utilized to select the most significant features,which are then fed to the K-nearest neighbor(KNN)classifier for getting the final classification *** guarantee the best performance of KNN,its main parameter(K)is optimized using the continuous DTO *** test the proposed approach,six evaluation metrics were employed namely,positive and negative predictive values,accuracy,specificity,sensitivity,and ***,the proposed approach is compared with other traditional approaches,and the findings confirmed the superiority of the proposed approach in terms of all the evaluation *** minimum accuracy achieved by the proposed approach is(98.5%),and the maximum accuracy is(99.8%)when different test cases are included in the evaluation experiments.

关键词： metaheuristic pneumonia dipper throated optimization KNN

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

Weight Prediction Using the Hybrid Stacked-LSTm Food Selection model

引用

Computer Systems Science & Engineering 2023年第7期46卷 765-781页

作者： Ahmed m.elshewey mahmoud Y.Shams Zahraa Tarek mohamed megahed el-Sayed m.el-kenawy mohamed A.el-dosuky Faculty of Computers and Information Computer Science DepartmentSuez UniversitySuezEgypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt Faculty of Computers and Information Computer Science DepartmentMansoura University35561Egypt Faculty of Physical Education Track and Field Competitions DepartmentArish UniversityEgypt Delta Higher Institute of Engineering and Technology Mansoura35111Egypt Department of Computer Science Arab East CollegesRiyadh13544Saudi Arabia

Food choice motives(i.e.,mood,health,natural content,convenience,sensory appeal,price,familiarities,ethical concerns,and weight control)have an important role in transforming the current food system to ensure the healthiness of people and the sustainability of the *** from several domains have presented several models addressing issues influencing food choice over the ***,a multidisciplinary approach is required to better understand how various aspects interact with one another during the decision-making *** this paper,four Deep Learning(DL)models and one machine Learning(mL)model are utilized to predict the weight in pounds based on food *** Long Short-Term memory(LSTm)model,stacked-LSTm model,Conventional Neural Network(CNN)model,and CNN-LSTm model are the used deep learning *** the applied mL model is the K-Nearest Neighbor(KNN)*** efficiency of the proposed model was determined based on the error rate obtained from the experimental *** findings indicated that mean Absolute Error(mAE)is 0.0087,the mean Square Error(mSE)is 0.00011,the median Absolute Error(medAE)is 0.006,the Root mean Square Error(RmSE)is 0.011,and the mean Absolute Percentage Error(mAPE)is ***,the results demonstrated that the stacked LSTm achieved improved results compared with the LSTm,CNN,CNN-LSTm,and KNN regressor.

关键词： Weight prediction machine learning deep learning LSTm CNN KNN

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

Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN

引用

Computers, materials & Continua 2023年第11期77卷 1855-1872页

作者： Heba m.el-Hoseny Heba F.elsepae Wael A.mohamed Ayman S.Selmy Department of Computer Science the Higher Future Institute for Specialized Technological StudiesObour11828Egypt Department of electrical Engineering Benha Faculty of EngineeringBenha UniversityBenha13511Egypt

Diabetic retinopathy is a critical eye condition that,if not treated,can lead to vision *** methods of diagnosing and treating the disease are time-consuming and ***,machine learning and deep transfer learning(DTL)techniques have shown promise in medical applications,including detecting,classifying,and segmenting diabetic *** advanced techniques offer higher accuracy and *** Diagnosis(CAD)is crucial in speeding up classification and providing accurate disease ***,these technological advancements hold great potential for improving the management of diabetic *** study’s objective was to differentiate between different classes of diabetes and verify the model’s capability to distinguish between these *** robustness of the model was evaluated using other metrics such as accuracy(ACC),precision(PRE),recall(REC),and area under the curve(AUC).In this particular study,the researchers utilized data cleansing techniques,transfer learning(TL),and convolutional neural network(CNN)methods to effectively identify and categorize the various diseases associated with diabetic retinopathy(DR).They employed the VGG-16CNN model,incorporating intelligent parameters that enhanced its *** outcomes surpassed the results obtained by the auto enhancement(AE)filter,which had an ACC of over 98%.The manuscript provides visual aids such as graphs,tables,and techniques and frameworks to enhance *** study highlights the significance of optimized deep TL in improving the metrics of the classification of the four separate classes of *** manuscript emphasizes the importance of using the VGG16CNN classification technique in this context.

关键词： No diabetic retinopathy(NDR) convolution layers(CNV layers) transfer learning data cleansing convolutional neural networks a visual geometry group(VGG16)

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

Effect of Pd or Ir on the catalytic performance of mo/H-ZSm-5 during the non-oxidative conversion of natural gas to petrochemicals

引用

Journal of Natural Gas Chemistry 2008年第4期17卷 337-343页

作者： Ahmed K.Aboul-Gheit Ahmed E.Awadallah Salah m.el-Kossy Abdel-Lateef H.mahmoud Process Development Division Egyptian Petroleum Research Institute Faculty of Science Department of ChemistryMNF University Ageeba Petroleum Co.

Natural gas conversion to petrochemicals, principally, benzene, naphthalene, toluene, as well as ethylene under non-oxidative conditions was examined in a fixed bed flow reactor at 700 ℃ and gaseous hourly space velocity （GHSV） of 1500 ml·g ^-1·h^-1 at time-on-stream ranging from 5 rain to 4 h using catalysts containing 6.0%mo/H-ZSm-5 promoted with Pd or Ir metal. The catalysts were characterized by XRD, TPD, and TGA. The addition of Pd or Ir to 6%mo/H-ZSm-5 catalyst promoted ethylene production but inhibited the cyclization reaction to aromatics owing to the strong interaction between these noble metals and the framework Al species, which were attached to the acid sites during the impregnation process. Coke deposition on the catalysts was found to decrease upon addition of 0.5wt% of Pd or Ir to 6%mo/H-ZSm-5 catalyst owing to the hydrogenating activity of these metals.

关键词： natural gas methane benzene ethylene molybdenum Pd Ir H-ZSm-5

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：