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The enzymatic effect of Fusarium spp. on wheat plant and its role in pathogenicity as a one of virulence factor. 镰刀菌对小麦植株的酶促作用及其作为毒力因子之一的致病作用。
Pub Date : 2023-03-26 DOI: 10.31185/wjps.118
Asia Al-Hachami, Meethaq Sattar Abood, Yass K. Abbass
Fusarium spp. One of Most important fungal disease that affecting wheat plant, during the period from February 2022 to September 2022, study done by taken 128 isolates, belonging to Fusarium spp. were obtained from wheat plants showing symptoms of crown and root disease taken from different area of waist city including (Al-Numaniyah, Kut, Dabuni, Sheikh Saad).
镰刀菌(Fusarium spp)是影响小麦植株最重要的真菌病害之一,于2022年2月至2022年9月,对来自腰城不同地区(Al-Numaniyah、Kut、Dabuni、Sheikh Saad)有冠根病症状的小麦植株的128株镰刀菌进行了研究。
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引用次数: 0
Emotion Recognition Based on Speech Signal Using Hybrid Features with Decision tree 基于混合特征和决策树的语音信号情感识别
Pub Date : 2023-03-26 DOI: 10.31185/wjps.126
Fatima A. Hameed
Emotion recognition based on a speech signal is one of intensively studied research topics in the domains of human-computer interaction and affective computing. The main idea are a new Hybrid feature set was introduced in extract features , which use the basic concept in work is the Residual Signal of the prediction procedure, which is the difference between the original and its prediction ,by enter to the internal structure of the signal axis and calculate a features for some specific regions after that calculate moments for these regions . Machine learning techniques will be used to classify to achieve a high degree of accuracy.Publicly available speech datasets like the berlin dataset are tested using a decision tree classifier. The hybrid features were trained separately. The results indicated that features very encouraging, reaching 98.5%. In this article, the decision tree classifier test results with the same tested hybrid features that published in a previous article will be presented, also a comparison between some related works and the proposed technique in speech emotion recognition techniques.
基于语音信号的情感识别是人机交互和情感计算领域研究的热点之一。其主要思想是在特征提取中引入一种新的混合特征集,其工作的基本概念是预测过程的残差信号,即原始信号与其预测值之间的差值,通过进入信号轴的内部结构,计算特定区域的特征,然后计算这些区域的矩。机器学习技术将用于分类,以达到高度的准确性。公开可用的语音数据集,如柏林数据集,使用决策树分类器进行测试。混合特征分别进行训练。结果表明,该特征非常令人鼓舞,达到98.5%。在这篇文章中,我们将给出决策树分类器的测试结果,这些测试结果与之前发表的一篇文章中测试的混合特征相同,并将一些相关工作与我们提出的语音情感识别技术进行比较。
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引用次数: 0
Mathematical Geometric of Open and Closed Valve in Water Hammer 水锤启闭阀的数学几何
Pub Date : 2023-03-26 DOI: 10.31185/wjps.111
Z. Jabar, Esam Ahmed
A valve is a device used to control the flow of the fluid. The control is achieved by closing, opening or partially obstructing various passageways. Valves have many applications and the valves are considered to be pipe fittings, and there are many different valve designs. Each of the many different valve designs has its own advantages and disadvantages. For example, the gate valve slides up and down like a gate, the globe valve closes a hole placed in the valve, the angle valve is a globe valve with a 90° turn, and the check valve allows the fluid to flow only in one direction. In this paper, the present investigation is to explore the effect open and close valve on water hammer and study the valve types with equations for every valve, the results give information about the pattern of valve closing and valve opening crescent water hammer.
阀门是用来控制流体流动的装置。控制是通过关闭、打开或部分阻塞各种通道来实现的。阀门有许多用途,阀门被认为是管道配件,有许多不同的阀门设计。许多不同的阀门设计都有自己的优点和缺点。例如,闸阀像闸板一样上下滑动,截止阀关闭放置在阀门上的孔,角阀是90°旋转的截止阀,止回阀允许流体只沿一个方向流动。本文探讨了阀门的开启和关闭对水锤的影响,研究了阀门的类型,并对每个阀门进行了方程计算,结果给出了新月水锤阀门的关闭和开启模式。
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引用次数: 0
An Analytical Investigation of Uniformly Star Like Class of Functions via Generalized Koebe Function 用广义Koebe函数解析研究一致类星形函数
Pub Date : 2023-03-26 DOI: 10.31185/wjps.102
Anwar H. Moureh, Hiba F. Al-Janaby
Recently, several of the generalizations Koebe function are introduced and investigated. In this study, a linear complex operator is investigated in terms of the generalized Koebe function and Wright function. A new geometric class, namely a uniformly starlike class, is provided. Furthermore, certain properties are discussed such as coefficient bounds, growth, distortion results, radii of convexity, starlikeness and close-to-convexity.
本文介绍并研究了Koebe函数的几种推广方法。本文研究了广义Koebe函数和Wright函数的线性复算子。给出了一个新的几何类,即均匀星形类。此外,还讨论了系数边界、增长、畸变结果、凸半径、星形和近凸等性质。
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引用次数: 0
Weakly Completely Prime Graph 弱完全素图
Pub Date : 2023-03-26 DOI: 10.31185/wjps.84
Ameer A. J. AL-Swidi, Ahmed A.Omran
     In this paper, we presented a new properties of a weakly completely prime graph, where we added the algebraic properties in this graph and extracted from them some important theories and results, with the study of homomorphism in this graph when homomorphism is available in near rings, as well as the definition of homomorphism preserve vertex cover, with the proving of a number of theorems and supported relationships with examples.
本文给出了一个弱完全素图的一个新性质,在此性质上增加了该图的代数性质,并从中提取了一些重要的理论和结果,研究了该图在近环上同态时的同态,以及同态保持顶点覆盖的定义,并证明了一些定理和用实例支持的关系。
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引用次数: 0
The enzymatic effect of Alternaria alternata on wheat plant and its role in pathogenicity as a virulence factor 互交霉对小麦植株的酶促作用及其作为毒力因子的致病性研究
Pub Date : 2023-03-26 DOI: 10.31185/wjps.119
Asia Al-Hachami
Wheat is one of the most important plant in the world as it used as a nutritional food source can avvacted by many fungal disease like leaf blight disease &black mold disease which caused by A.alternata ,during the period from February 2022 to September 2022, study done by taken 180 samples from infected wheat plant lesions collected in regions where A.alternaria leaf blight and black mold has been reported were studied from different area in wasit city including (Al-Numaniyah, Kut, Dabuni, Sheikh Saad,
小麦是世界上最重要的植物之一,它作为营养食物来源可以通过许多真菌病叶枯病等疾病avvacted图模具A.alternata引起的疾病,在此期间从2022年2月到2022年9月,由180个样本取自研究地区的小麦植株感染病灶,收集A.alternaria叶枯病和黑霉菌已经报道了来自不同地区瓦西特省城市包括(Al-Numaniyah、库特Dabuni,谢赫•萨阿德,
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引用次数: 0
Covid-19 Prediction using Machine Learning Methods: An Article Review 使用机器学习方法预测Covid-19:一篇文章综述
Pub Date : 2023-03-26 DOI: 10.31185/wjps.124
Samera Shams Hussein, Wisal Hashim Abdulsalam, Wisam Abed Shukur
The COVID-19 pandemic has necessitated new methods for controlling the spread of the virus, and machine learning (ML) holds promise in this regard. Our study aims to explore the latest ML algorithms utilized for COVID-19 prediction, with a focus on their potential to optimize decision-making and resource allocation during peak periods of the pandemic. Our review stands out from others as it concentrates primarily on ML methods for disease prediction.To conduct this scoping review, we performed a Google Scholar literature search using "COVID-19," "prediction," and "machine learning" as keywords, with a custom range from 2020 to 2022. Of the 99 articles that were screened for eligibility, we selected 20 for the final review.Our systematic literature review demonstrates that ML-powered tools can alleviate the burden on healthcare systems. These tools can analyze significant amounts of medical data and potentially improve predictive and preventive healthcare.
COVID-19大流行需要新的方法来控制病毒的传播,机器学习(ML)在这方面有希望。我们的研究旨在探索用于COVID-19预测的最新ML算法,重点关注它们在大流行高峰期优化决策和资源分配的潜力。我们的综述从其他综述中脱颖而出,因为它主要集中在疾病预测的ML方法上。为了进行这一范围审查,我们使用“COVID-19”、“预测”和“机器学习”作为关键词进行了谷歌Scholar文献检索,自定义范围为2020年至2022年。在筛选合格的99篇文章中,我们选择了20篇进行最终审查。我们的系统文献综述表明,机器学习驱动的工具可以减轻医疗保健系统的负担。这些工具可以分析大量医疗数据,并有可能改善预测性和预防性医疗保健。
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引用次数: 1
Algorithms for Solving Volterra Integral Equations Using Non-Polynomial Spline Function 用非多项式样条函数求解Volterra积分方程的算法
Pub Date : 2023-03-26 DOI: 10.31185/wjps.81
Issa Hamza, Ahmed Shihab Al-Atabi
This paper discusses some algorithms for solving Volterra's integral equations of the second degree using non-boundary spline functions, including (linear and cubic), as the linear spline function presents some laws and algorithms of its own, as well as the cubic spline function has its laws and algorithm. They are applied and combined in a language program MATLAB R2022a to find the numerical solution for them and the difference between them through the error percentage that appears for each of them. The preview is done through the drawing, as shown in the examples below.
本文讨论了用无边界样条函数求解Volterra二阶积分方程的一些算法,包括(线性和三次),因为线性样条函数有自己的一些规律和算法,三次样条函数也有自己的规律和算法。在MATLAB R2022a语言程序中对它们进行应用和组合,以找到它们的数值解,并通过它们各自出现的错误率来找出它们之间的差异。预览是通过绘图完成的,如下面的例子所示。
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引用次数: 0
CNN Technique Security Inspection for Data Computing Networks 数据计算网络的CNN技术安全检测
Pub Date : 2023-03-26 DOI: 10.31185/wjps.122
Doaa Mohsin Abd Ali
The hypothetical as well as system derivation have been shaped by data computing into the analysis of tomorrow. The global computing framework is rapidly influencing cloud development. The security aspects in a cloud-based computing environment remain at the middle of attention, despite the fact that it is important to take further period for could investigation by motivating it to separate fields. The development of cloud subordinate divisions and expert centers has resulted in the provision of optional mission design that is subject to cloud advancement. In order to guard against the potential consequences of being exposed to undesirable communal contests in cases such that, the cloud servers it is adjusted to store such data, weak info of various parameters is typically stored in servers using wireless locations with the presence of various cloud-based systems using geographically consumed info networks producers. The flexibility and benefits of cloud computing will be difficult to accept if the security is inadequate. This study examines cloud analyzing and cloud structure while also addressing security concerns and information computing standards. In addition, a new adversaries administration security strategy based on CNN will be proposed and compared to other readily available security regions. The obtained results for the CNN algorithm show a success rate of 100% with only 0.18 losses at batch number of 2*104. Also the confusion matrix show a very high classification measure for the trained samples among the target with resulting classes.
假设和系统推导已经被数据计算塑造成对未来的分析。全球计算框架正在迅速影响云的发展。基于云的计算环境中的安全方面仍然是人们关注的焦点,尽管有必要通过将其划分为不同的领域来进行进一步的调查。云下属部门和专家中心的发展导致提供了受云发展影响的可选任务设计。为了防止在诸如调整云服务器以存储此类数据的情况下暴露于不受欢迎的公共竞争的潜在后果,各种参数的弱信息通常存储在使用无线位置的服务器中,其中存在使用地理上消耗的信息网络生产者的各种基于云的系统。如果安全性不足,云计算的灵活性和好处将难以接受。本研究探讨了云分析和云结构,同时也解决了安全问题和信息计算标准。此外,将提出一种基于CNN的新的对手管理安全策略,并与其他现成的安全区域进行比较。得到的结果表明,CNN算法在批数为2*104时,成功率为100%,损失仅为0.18。此外,混淆矩阵显示了一个非常高的分类度量训练样本的目标与产生的类别。
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引用次数: 0
Construction of q-ary(n,M,d)-codes in PG(2,16) PG(2,16)中q-ary(n,M,d)码的构造
Pub Date : 2023-03-26 DOI: 10.31185/wjps.110
Dunya Fareeq Fendi, Nada Yassen Kasm Yahya
The goal of this paper was to study the applications of the projective plane PG (2, q) over a Galois field of order q in the projective q-ary (n, M, d) -code such that the parameters length of code n, the maximum value size code M, and the minimum distance d with the error-correcting e according to an incidence matrix have been calculated. Also, this research provides examples and theorems of links between the combinatorial structures and coding theory. The method of the research depends on the classification of the points and lines in PG (2, q).
本文研究了射影平面PG (2, q)在q阶伽罗瓦域上在射影q-ary (n, M, d)码中的应用,计算出了码的参数长度n、码的最大值尺寸M和根据关联矩阵进行误差校正的最小距离d。此外,本文还提供了组合结构与编码理论之间联系的实例和定理。研究的方法依赖于PG (2, q)中的点和线的分类。
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引用次数: 0
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Wasit Journal of Pure sciences
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