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Frontiers of Structural and Civil Engineering 2017年第1期11卷 90-99页

作者： Faezehossa.a. KHADEMI Mahmoud a.ba.I sayed Mohammadmehdi JAMAL Mehdi NIKOO Department of Civil Architectural and Environmental Engineering Illinois Institute of Technology Chicago IL 60616 USA Civil Engineering Department University of Kashan Kashan *** Iran Department of Civil Engineering University of Hormozgan Bandar Abbas 3995 IRAN Ahvaz Branch Islamic Azad University Ahvaz *** IRAN

Evaluating the in situ concrete compressive strength by means of cores cut from hardened concrete is acknowledged as the most ordinary method, however, it is very difficult to predict the compressive strength of concrete since it is affected by many factors such as different mix designs, methods of mixing, curing conditions, compaction, etc. In this paper, considering the experimental results, three different models of multiple linear regression model （MLR）, artificial neural network （ANN）, and adaptive neuro-fuzzy inference system （ANFIS） are established, trained, and tested within the Matlab programming environment for predicting the 28 days compressive strength of concrete with 173 different mix designs. Finally, these three models are compared with each other and resulted in the fact that ANN and ANFIS models enables us to reliably evaluate the compressive strength of concrete with different mix designs, however, multiple linear regression model is not feasible enough in this area because of nonlinear relationship between the concrete mix parameters. Finally, the sensitivity analysis （sa） for two different sets of parameters on the concrete compressive strength prediction are carried out.

关键词： concrete 28 days compressive strength multiple linear regression artificial neural network ANFIS sensitivity analysis (sa)

Developing Weibull-based diameter distributions for the major coniferous species in Heilongjiang Province,China

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Journal of Forestry Research 2023年第6期34卷 1803-1815页

作者： Qila sa Xingji Jin Timo Pukkala Fengri Li Key Laboratory of Sustainable Forest Ecosystem Management Ministry of EducationNortheast Forestry UniversityHarbin 150040People’s Republic of China University of Eastern Finland 80101 JoensuuFinland

Diameter distribution models play an important role in forest inventories,growth prediction,and *** Weibull probability density function is widely used in *** a number of methods have been proposed to predict or recover the Weibull distribution,their applicability and predictive performance for the major tree species of China remain to be *** in sample plots of three even-aged coniferous species(Larix olgensis,Pinus sylvestris and Pinus koraiensis)were measured both in un-thinned and thinned stands to develop parameter prediction models for the Weibull probability density *** least squares(OLS)and maximum likelihood regression(MLER),as well as cumulative distribution function regression(CDFR)were used,and their performance *** results show that MLER and CDFR were better than OLS in predicting diameter distributions of tree *** produced the best results in terms of fitting *** on the error statistics calculated for different age groups,CDFR was considered the most suitable method for developing prediction models for Weibull parameters in coniferous plantations.

关键词： Parameter prediction Maximum likelihood regression Cumulative distribution function regression

Seeker Optimization with Deep Learning Enabled Sentiment Analysis on Social Media;

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Computers, Materials & Continua 2022年第12期73卷 5985-5999页

作者： Hanan M.Alghamdi saadia H.A.Hamza Aisha M.Mashraqi sayed Abdel-Khalek Department of Computer Science College of Computing Al-QunfidhahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science and HumanitiesSlayelPrince Sattam Bin AbdulAziz UniversitySaudi Arabia Department of Computer Science College of Computer Science and Information SystemsNajran UnivesityNajran61441Saudi Arabia Department of Mathematics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Faculty of ScienceSohag UniversitySohagEgypt

World Wide Web enables its users to connect among themselves through social networks,forums,review sites,and blogs and these interactions produce huge volumes of data in various forms such as emotions,sentiments,views,*** Analysis(sa)is a text organization approach that is applied to categorize the sentiments under distinct classes such as positive,negative,and ***,Sentiment Analysis is challenging to perform due to inadequate volume of labeled data in the domain of Natural Language Processing(NLP).Social networks produce interconnected and huge data which brings complexity in terms of expanding sa to an extensive array of ***,there is a need exists to develop a proper technique for both identification and classification of sentiments in social *** get rid of these problems,Deep Learning methods and sentiment analysis are consolidated since the former is highly efficient owing to its automatic learning *** current study introduces a Seeker Optimization Algorithm with Deep Learning enabled sa.a.d Classification(SOADL-saC)for social *** presented SOADL-saC model involves the proper identification and classification of sentiments in social *** order to attain this,SOADL-saC model carries out data preprocessing to clean the input *** addition,Glove technique is applied to generate the feature ***,Self-Head Multi-Attention based Gated Recurrent Unit(SHMA-GRU)model is exploited to recognize and classify the ***,Seeker Optimization Algorithm(SOA)is applied to fine-tune the hyperparameters involved in SHMA-GRU model which in turn enhances the classifier *** order to validate the enhanced outcomes of the proposed SOADL-saC model,various experiments were conducted on benchmark *** experimental results inferred the better performance of SOADLsaC model over recent state-of-the-art approaches.

关键词： Sentiment analysis classification of sentiment social media seeker optimization algorithm glove embedding natural language processing

Arrhythmia Detection by Using Chaos Theory with Machine Learning Algorithms

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Computers, Materials & Continua 2024年第6期79卷 3855-3875页

作者： Maie Aboghazalah Passent El-kafrawy Abdelmoty M.Ahmed Rasha Elnemr Belgacem Bouallegue Ayman El-sayed Math and Computer Science Department Faculty of ScienceMenoufia UniversityShebin El-komEgypt College of Engineering Computer Science DepartmentEffat UniversityJeddahKingdom of Saudi Arabia Department of Computer Engineering College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia Computer Science and Engineering Department Faculty of Electronic EngineeringMenoufia UniversityShebin El-komEgypt Climate Change Information Center and Expert Systems Agriculture Research CenterGizaEgypt

Heart monitoring improves life ***(ECGs or EKGs)detect heart *** learning algorithms can create a few ECG diagnosis processing *** first method uses raw ECG and time-series *** second method classifies the ECG by patient *** third technique translates ECG impulses into Q waves,R waves and S waves(QRS)features using richer *** ECG signals vary naturally between humans and activities,we will combine the three feature selection methods to improve classification accuracy and *** using all three approaches have not been examined till *** researchers found that Machine Learning(ML)techniques can improve ECG *** study will compare popular machine learning techniques to evaluate ECG *** algorithms—Support Vector Machine(SVM),Decision Tree,Naive bayes,and Neural Network—compare categorization *** plus prior knowledge has the highest accuracy(99%)of the four ML *** characteristics failed to identify signals without chaos *** 99.8%classification accuracy,the Decision Tree technique outperformed all previous experiments.

关键词： ECG extraction ECG leads time series prior knowledge and arrhythmia chaos theory QRS complex analysis machine learning ECG classification

Can the desiccation of forests in Tara National Park (Serbia) be attributed to the effects of a drought period?

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Journal of Forestry Research 2024年第6期35卷 220-229页

作者： GoranČešljar NevenaČule IlijaĐorđević sa.a.Eremija Natalija Momirović Marko Tomić Filip Jovanović Institute of Forestry Kneza Višeslava 3Belgrade 11030Serbia Tara National Park Milenka Topalovića 3Bajina Bašta 31250Serbia

Forest ecosystems within national parks are threatened by various biotic and abiotic *** deter-mine the causes of the desiccation and death of trees in mixed coniferous and deciduous forests of Tara National Park(TNP),Serbia,we monitored defoliation and mortality of individual trees in permanent experimental *** on the desiccation of a large number of trees were gathered by determining the total volume of dry trees and areas of forests under drying *** two sets of data were combined to determine the impact of climatic events,primarily drought periods,on the desiccation of *** data from the International Co-operative Program on Assessment and Monitoring of Air Pollution Effects on Forests(ICP Forests)with TNP data helped relate forest desiccation to climate *** climate signals were identified by monitoring tree defoliation changes in two permanent experimental plots,and then assessed for their influence on tree desicca-tion in the entire national *** standardized precipita-tion evapotranspiration index(SPEI)was used for a more detailed analysis of the drought *** the lack of climate data for a certain period,the SPEI index revealed a link between climate variables and the defoliation and desic-cation of ***,the desiccation of trees was preceded by a long drought *** mixed conifer-ous-deciduous forests are often considered less vulnerable to natural influences,this study suggests that forest ecosystems can become vulnerable regardless of tree species composi-tion due to multi-year *** findings contribute to a better understanding of important clues for predicting pos-sible future desiccation of *** monitoring of the state of forests and of more permanent experimental plots in national parks could provide better quality data and timely responses to stressful situations.

关键词： Forest ecosystems Extreme climate events Drought Defoliation Monitoring

Investigation on the crystal structure and mechanical properties of the ternary compound Mg_(11-x)Zn_(x)Sr combined with experimental measurements and first-principles calculations

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Journal of Magnesium and Alloys 2023年第3期11卷 1074-1082页

作者： Jian Wang Lingzhong Meng Zhang Zhang baisheng sa Xiaoxiao Fu Liyuan Sheng Daokui Xu Yufeng Zheng School of Mechanical Engineering Yangzhou UniversityYangzhou 225127China Key Laboratory of Eco-materials Advanced Technology College of Materials Science and EngineeringFuzhou UniversityFuzhou 350108China College of Materials Science and Engineering Chongqing UniversityChongqing 400044China Shenzhen Institute Peking UniversityShenzhen518057China PKU-HKUST ShenZhen-HongKong Institution Shenzhen 518057China Key Laboratory of Nuclear Materials and safety Assessment Institute of Metal ResearchChinese Academy of SciencesShenyang110016China

A new ternary compound,Mg_(11-x)Zn_(x)Sr in the Mg-Zn-Sr system was observed and studied using Scanning Electron Microscopy(SEM),Energy-Dispersive Spectroscope(EDS),X-Ray Diffraction(XRD)and Transmission Electron Microscopy(TEM).The XRD patterns were refined by the Rietveld refinement method and the results revealed that the crystallized Mg_(11-x)Zn_(x)Sr phase belonged to tetragonal I41/amd space group and had the Cd_(11)ba *** Mg atoms were successfully doped into Zn_(11)Sr crystal lattice by occupying Zn atomic ***,the Rietveld refinement and computational results demonstrated a gradual decrease in the a-axis and c-axis lattice parameters with decreasing concentration levels of Mg coordination substitution in the lattice of Mg_(11-x)Zn_(x)Sr *** elastic constants and modulus of the Mg_(11-x)Zn_(x)Sr compounds calculated by first-principles calculations(FPC)indicated they were increased with the increasing of Zn *** variation of hardness,D-band widths and the total density of states for Mg_(11-x)Zn_(x)Sr compounds with Zn content was discussed.

关键词： Mg-Zn-Sr system Crystal structure Hardness Elastic constants Modulus

Potential Assessment Multi-Repeating Abiotic/Biotic Motivation Coincide Biofertilizers to Optimize Black Cumin (<i>Nigella sativa</i>L.) Seed Yield Production and Quality

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Agricultural Sciences 2021年第2期12卷 69-83页

作者： Tarek Elsayed S.A El sayed S.A Radioisotopes Department Nuclear Research Center Egyptian Atomic Energy Authority Cairo Egypt

Black cumin (Nigella sativa L.) the highly aggregate valuable medicinal plant was field cultivated for two subsequent seasons (2018, 2019) designed as factorial split plot based on randomized complete block with 3 replications. The main factors 4 elicitors: salicylic acid, (sa) Nano-selenium (NPs), yeast (YS) chitosan (CH) and (E0), control. Whereas, the sub-main plot 4 biofertilizers, dray Moringa leaves extract, (MLE), neem dray leaves extract (NME), humic acid (HA) and traditional (NPK) chemical fertilizer as control. Allied statistical analysis of variance revealed that biotic and abiotic elicitors coincide biofertilizer and NPK chemical fertilizer actuated significant positive impacts, dray seed, seed fixed oil, seed essential oil yield production. Also, significantly amelioration bioactive major fatty acids content of seed fixed oil (linolenic > carvone) dihydrolenoleic > oleic) as well as major terpens content of seed essential oil (P-cymene > thnymoquione > Penine). Consequently, multi-repeating elicitation cod be considered reliable strategy achieve sustainable development for N-sativa under, biotic elicitor coincide biofertilizers that excel abiotic elicitors coincide biofertilizer which excel biotic or abiotic elicitors coincide NPK traditional chemical fertilizer.

关键词： Blacke Cumin Medicinal Plant Elicitation salicylic Acid Chitosan Nano-Selenium Yeast Biofertilizers Essential Oil

以饱和度测井数据为油藏模型选择标准的改进历史拟合方法

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石油勘探与开发 2023年第2期50卷 398-408页

作者： APONTE Jesus Manuel WEBBER Robert CENTENO Maria Astrid DHAKAL Hom Nath sayed Mohamed Hassan MALAKOOTI Reza 朴茨茅斯大学理工学院朴茨茅斯PO12UP英国中海油国际有限公司阿克斯布里奇UB81LU英国伦敦南岸大学伦敦SE10AA英国南安普顿大学南安普顿SO171BJ英国计算机建模集团有限公司伦敦OX108BA英国

提出了一种将储集层饱和度测井数据二元简化形式作为油藏模型选择标准的改进历史拟合方法,使用半合成开源油藏模型作为基础模型对提出的方法进行评估,并与常规方法进行了比较。历史拟合阶段引入流体饱和度测井数据,有助于调整或选择能... 详细信息

提出了一种将储集层饱和度测井数据二元简化形式作为油藏模型选择标准的改进历史拟合方法,使用半合成开源油藏模型作为基础模型对提出的方法进行评估,并与常规方法进行了比较。历史拟合阶段引入流体饱和度测井数据,有助于调整或选择能够更好地表征近井地带水驱前缘推进的模型,从而有效降低水驱油藏后续井间干扰评价的不确定性。研究表明,对含水饱和度测井数据进行二元分类时,马修斯相关系数作为分类指标的效果最佳。与常规方法相比,根据提出的方法可以选出一组更可靠的储集层(特别是强非均质性储集层)模型,选出的模型历史拟合效果更好,对近井地带含水饱和度、生产井及其不同层位含水率的拟合质量更好。

关键词：地质建模油藏模型目标函数二元分类历史拟合饱和度测井

Spirulina platensis extract improves the production and defenses of the common bean grown in a heavy metals-contaminated saline soil

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Journal of Environmental Sciences 2023年第7期129卷 240-257页

作者： Mostafa M.Rady Ahmed S.Elrys Eman Selem Ahmed A.A.Mohsen sa.a. M.A.I.Arnaout Ahmed H.El-sappah Khaled A.El-Tarabily El-sayed M.Desoky Botany Department Faculty of AgricultureFayoum UniversityFayoum 63514Egypt College of Tropical Crops Hainan UniversityHaikou 570228China Soil Science Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany and Microbiology Department Faculty of ScienceZagazig UniversityZagazig 44511Egypt Horticulture Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Genetics Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Department of Biology College of ScienceUnited Arab Emirates UniversityAl-Ain 15551United Arab Emirates Khalifa Center for Genetic Engineering and Biotechnology United Arab Emirates UniversityAl-Ain 15551United Arab Emirates Harry Butler Institute Murdoch UniversityMurdoch 6150Australia

Plants have to cope with several abiotic stresses,including salinity and heavymetals(HMs).Under these stresses,several extracts have been used as effective natural biostimulants,however,the use of Spirulina platensis(SP)extract(SPE)remains *** effects of SPE were evaluated as soil addition(sa.a.d/or foliar spraying(FS)on antioxidant defenses and HMs content of common bean grown in saline soil contaminated with ***(40 or 80 mg SPE/hill added as sa or 20 or 40 mg SPE/plant added as FS)or integrative(sa+FS)applications of SPE showed significant improvements in the following order:sa-80+FS-40>sa-80+FS-20>sa-40+FS-40>sa-40+FS-20>sa-80>sa-40>FS-40>FS-20>***,the integrative sa+FS with 40 mg SP/plant was the most effective treatment in increasing plant growth and production,overcoming stress effects and minimizing contamination of the edible *** significantly increased plant growth(74%–185%)and yield(107%–227%)by enhancing net photosynthetic rate(78.5%),stomatal conductance(104%),transpiration rate(124%),and contents of carotenoids(60.0%),chlorophylls(49%–51%),and NPK(271%–366%).These results were concurrent with the marked reductions in malondialdehyde(61.6%),hydrogen peroxide(42.2%),nickel(91%–94%),lead(80%–9%),and cadmium(74%–91%)contents due to the improved contents of glutathione(87.1%),ascorbate(37.0%),andα-tocopherol(77.2%),and the activities of catalase(18.1%),ascorbate peroxidase(18.3%),superoxide dismutase(192%),and glutathione reductase(52.2%)as reinforcing ***,this most effective treatment is recommended to mitigate the stress effects of salinity and HMs on common bean production while minimizing HMs in the edible part.

关键词： Antioxidant defense system Biostimulants Heavy metals Microalgae extracts saline soil Soil pollution

Engineering flexible and green electromagnetic interference shielding materials with high performance through modulating WS_(2) nanosheets on carbon fibers

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Journal of Materiomics 2022年第2期8卷 327-334页

作者： Huibin Zhang Tingting Liu Zehao Huang Junye Cheng Honghan Wang Deqing Zhang Xuewei ba Guangping Zheng Ming Yan Maosheng Cao School of Materials Science and Engineering Qiqihar UniversityQiqihar 161006China Department of Mechanical Engineering Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina Department of Materials Science and Engineering And Shenzhen Key Laboratory for Additive Manufacturing of High-performance MaterialsSouthern University of Science and TechnologyShenzhen 518055China School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China

Flexible and wearable electromagnetic interference(EMI)shielding material is one of the current research focuses in the field of EMI *** this work,for the first time,WS_(2)-carbon fiber(WS_(2)-CF)composites are synthesized by implanting WS_(2),which has a multiphase structure and a large number of defects,onto the surface of carbon fiber(CF)by using a simple one-step hydrothermal method,and are applied to protect electronic devices from *** is found that the EMI shielding performance of WS_(2)-CF is significantly improved,especially for those at Se and *** 2 GHz,the EMI shielding efficiency could reach 36.0 dB at a typical thickness of 3.00 mm of the composite,which is much better than that of pure CF(25.5 dB).Besides paving a novel avenue to optimize the electromagnetic shielding performance of flexible and wearable CF-based EMI shielding materials,which have great potential in the practical application for EMI shielding,this work provides a new paradigm for the design and synthesis of EMI shielding materials which have a broad application prospect.

关键词： Flexible electromagneic shielding Carbon fibers WS_(2) Conductive networks