全文获取类型
收费全文 | 76篇 |
免费 | 4篇 |
专业分类
化学工业 | 20篇 |
金属工艺 | 1篇 |
机械仪表 | 4篇 |
建筑科学 | 3篇 |
能源动力 | 3篇 |
轻工业 | 14篇 |
石油天然气 | 1篇 |
无线电 | 5篇 |
一般工业技术 | 13篇 |
自动化技术 | 16篇 |
出版年
2023年 | 2篇 |
2022年 | 10篇 |
2021年 | 4篇 |
2020年 | 7篇 |
2019年 | 6篇 |
2018年 | 6篇 |
2017年 | 3篇 |
2016年 | 2篇 |
2015年 | 1篇 |
2014年 | 5篇 |
2013年 | 10篇 |
2012年 | 5篇 |
2011年 | 4篇 |
2010年 | 1篇 |
2009年 | 2篇 |
2008年 | 3篇 |
2007年 | 2篇 |
2005年 | 1篇 |
2004年 | 2篇 |
2003年 | 1篇 |
2000年 | 1篇 |
1992年 | 1篇 |
1982年 | 1篇 |
排序方式: 共有80条查询结果,搜索用时 15 毫秒
1.
Gamal ElMasry Noha Morsy Salim Al-Rejaie Charfedinne Ayed Robert Linforth Ian Fisk 《International Journal of Food Science & Technology》2019,54(11):2983-2997
The aim of this study was to use gas chromatography-mass spectrometry (GC-MS) and APCI-MS techniques to detect adulteration in honey. The key volatile compounds in the headspace of the adulterated honey were marked by GC-MS and their representative fragment ions were utilised in scanning honey samples using the real-time APCI-MS system. The PLS models validated using independent data sets resulted in coefficient of the determination () of 0.97 and 0.96 and root mean square error in prediction (RMSEP) of 2.62 and 2.45 for the GC-MS and APCI-MS data sets respectively. The most efficient volatiles from GC-MS analysis and their corresponding fragment ions m/z from APCI-MS data analysis were then identified and used to develop new PLS models to predict the level of adulteration. The best PLS model gave of 0.95 and RMEP of 2.60% in the independent validation set indicating that the model was very accurate in predicting the level of adulteration. 相似文献
2.
Correlation of In Vivo and In Vitro Assay Results for Assessment of Free Radical Scavenging Activity of Green Tea Nutraceuticals 下载免费PDF全文
Heba‐Alla H. Abd‐ElSalam Medhat A. Al‐Ghobashy Muhammad Al‐Shorbagy Noha Nassar Hala E. Zaazaa Mohamed A. Ibrahim 《Journal of food science》2016,81(7):C1707-C1715
Green tea (GT)‐derived catechins; epigallocatechin gallate (EGCG) in particular are commonly used nutraceuticals for their free‐radical scavenging activity (FRSA). The influence of photodegradation on the protective power of GT nutracenticals against oxidative stress was thoroughly explored. Photodegradation of GT extracts was carried out and monitored using orthogonal stability‐indicating testing protocol; in vitro and in vivo assays. Total polyphenol content (TPC) and FRSA were determined spectrophotometrically while EGCG was selectively monitored using SPE‐HPLC. In vivo assessment of photodegraded samples was investigated via measuring a number of biomarkers for hepatic oxidative stress and apoptosis (caspase‐3, inducible nitric oxide synthase, nitric oxide, mitogen‐activated protein kinase, glutathione, thiobarbituric acid reactive substances, nuclear factor kappa beta, and nuclear factor erythroid 2‐related factor) as well as liver damage (alanine transaminase and aspartate transaminase) in serum of rats previously subjected to oxidative stress. Results showed complete degradation of EGCG in photodegraded green tea samples with no correlation with either TPC or FRSA. On the other hand, in vivo assay results revealed not only loss of activity but formation of harmful pro‐oxidants. Photostability was found crucial for the protective effect of GT extract against lead acetate insult. Results confirmed that careful design of quality control protocols requires correlation of chemical assays to bioassays to verify efficacy, stability, and most importantly safety of nutraceuticals. 相似文献
3.
Christophe Chlique Odile Merdrignac‐Conanec Noha Hakmeh Xianghua Zhang Jean‐Luc Adam 《Journal of the American Ceramic Society》2013,96(10):3070-3074
We report an efficient way of preparing transparent ZnS ceramics using the hot‐pressing technique. It has been found that the transparency is highly dependent on the purity and the grain size distribution of the starting ZnS powders. Highly pure and monodisperse ZnS powders have been obtained by posttreatment of the precipitated powders in a H2S/N2 flow for 2 h at 600°C. The obtained ZnS ceramics show fully dense and homogeneous microstructure with average grain size of ~1 μm and smooth grain boundaries, leading to an excellent transmission of around 70% in the mid‐ and far‐ IR regions. The preparation technique described in this study is highly reproducible. 相似文献
4.
Ahmed Hanan A. Awadallah Ahmed E. Aboul-Enein Ateyya A. Solyman Sanaa M. Aboul-Gheit Noha A. K. 《Catalysis Letters》2022,152(9):2789-2800
Catalysis Letters - The development of highly active and durable catalysts for H2 production through CH4 decomposition process is still a great challenge. In this study, CeO2 and CeO2–SiO2... 相似文献
5.
Noha M. Hassan Maher Y. Younan Hanadi G. Salem 《JOM Journal of the Minerals, Metals and Materials Society》2003,55(10):38-42
The deformation behaviors of an Al-Li-Cu alloy (Aluminum 8090) during uniaxial and biaxial stress states were modeled using
the nonlinear finite element analysis package ABAQUS 5.8. Two different material models were used for the purpose of comparison and to propose a valid and accurate superplastic material
deformation behavior. Using a power law strain hardening model, the material was modeled with either constant or variable
properties of strain-rate sensitivity and strain-hardening exponent. Results from the numerical models were compared to experimental
results by Chen and Huang, who investigated the uniaxial and biaxial states of stress. Experimental data were primarily used
to acquire the needed uniaxial material parameters for the model. The strain-rate sensitivity and strain-hardening exponent
were dependent on the strain and strain rates. Comparing the two material models for both stress states indicated that the
material model with variable properties better represented the true behavior of the material when compared to the experimental
results.
For more information, contact Noha M. Hassan, the American University in Cairo, 113 Kasr El Aini St., P.O. Box 2511, Cairo
11511, Egypt; +202-797-5336; fax +202-797-7565; e-mail nhassan@vt.edu. 相似文献
6.
Walid El-Shafai Noha A. El-Hag Ahmed Sedik Ghada Elbanby Fathi E. Abd El-Samie Naglaa F. Soliman Hussah Nasser AlEisa Mohammed E. Abdel Samea 《计算机、材料和连续体(英文)》2023,74(2):2905-2919
Medical image fusion is considered the best method for obtaining one image with rich details for efficient medical diagnosis and therapy. Deep learning provides a high performance for several medical image analysis applications. This paper proposes a deep learning model for the medical image fusion process. This model depends on Convolutional Neural Network (CNN). The basic idea of the proposed model is to extract features from both CT and MR images. Then, an additional process is executed on the extracted features. After that, the fused feature map is reconstructed to obtain the resulting fused image. Finally, the quality of the resulting fused image is enhanced by various enhancement techniques such as Histogram Matching (HM), Histogram Equalization (HE), fuzzy technique, fuzzy type Π, and Contrast Limited Histogram Equalization (CLAHE). The performance of the proposed fusion-based CNN model is measured by various metrics of the fusion and enhancement quality. Different realistic datasets of different modalities and diseases are tested and implemented. Also, real datasets are tested in the simulation analysis. 相似文献
7.
Enns AA Vogel LJ Abdelzaher AM Solo-Gabriele HM Plano LR Gidley ML Phillips MC Klaus JS Piggot AM Feng Z Reniers AJ Haus BK Elmir SM Zhang Y Jimenez NH Abdel-Mottaleb N Schoor ME Brown A Khan SQ Dameron AS Salazar NC Fleming LE 《Water research》2012,46(7):2237-2246
Fecal indicator microbes, such as enterococci, are often used to assess potential health risks caused by pathogens at recreational beaches. Microbe levels often vary based on collection time and sampling location. The primary goal of this study was to assess how spatial and temporal variations in sample collection, which are driven by environmental parameters, impact enterococci measurements and beach management decisions. A secondary goal was to assess whether enterococci levels can be predictive of the presence of Staphylococcus aureus, a skin pathogen. Over a ten-day period, hydrometeorologic data, hydrodynamic data, bather densities, enterococci levels, and S. aureus levels including methicillin-resistant S. aureus (MRSA) were measured in both water and sand. Samples were collected hourly for both water and sediment at knee-depth, and every 6 h for water at waist-depth, supratidal sand, intertidal sand, and waterline sand. Results showed that solar radiation, tides, and rainfall events were major environmental factors that impacted enterococci levels. S. aureus levels were associated with bathing load, but did not correlate with enterococci levels or any other measured parameters. The results imply that frequencies of advisories depend heavily upon sample collection policies due to spatial and temporal variation of enterococci levels in response to environmental parameters. Thus, sampling at different times of the day and at different depths can significantly impact beach management decisions. Additionally, the lack of correlation between S. aureus and enterococci suggests that use of fecal indicators may not accurately assess risk for some pathogens. 相似文献
8.
Hongshik Ahn Hojin Moon Noha Lim Ralph L. Kodell 《Computational statistics & data analysis》2007,51(12):6166-6179
A robust classification procedure is developed based on ensembles of classifiers, with each classifier constructed from a different set of predictors determined by a random partition of the entire set of predictors. The proposed methods combine the results of multiple classifiers to achieve a substantially improved prediction compared to the optimal single classifier. This approach is designed specifically for high-dimensional data sets for which a classifier is sought. By combining classifiers built from each subspace of the predictors, the proposed methods achieve a computational advantage in tackling the growing problem of dimensionality. For each subspace of the predictors, we build a classification tree or logistic regression tree. Our study shows, using four real data sets from different areas, that our methods perform consistently well compared to widely used classification methods. For unbalanced data, our approach maintains the balance between sensitivity and specificity more adequately than many other classification methods considered in this study. 相似文献
9.
Noha M. Hamza Ruhul A. Sarker Daryl L. Essam Kalyanmoy Deb Saber M. Elsayed 《工程优选》2014,46(11):1447-1464
Constraint handling is an important aspect of evolutionary constrained optimization. Currently, the mechanism used for constraint handling with evolutionary algorithms mainly assists the selection process, but not the actual search process. In this article, first a genetic algorithm is combined with a class of search methods, known as constraint consensus methods, that assist infeasible individuals to move towards the feasible region. This approach is also integrated with a memetic algorithm. The proposed algorithm is tested and analysed by solving two sets of standard benchmark problems, and the results are compared with other state-of-the-art algorithms. The comparisons show that the proposed algorithm outperforms other similar algorithms. The algorithm has also been applied to solve a practical economic load dispatch problem, where it also shows superior performance over other algorithms. 相似文献
10.