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Sporadic ganglioneuromatosis of esophagogastric junction in a patient with gastro-esophageal reflux disorder and intestinal metaplasia

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World Journal of Gastroenterology 2006年第48期12卷 7874-7877页

作者： Richard Siderits Iman Hanna zahid Baig Janusz J Godyn Department of Pathology RWJ University Hospital-Hamilton United States Hamilton Gastroenterology Group RWJ University Hospital-Hamilton United States

A 58-year-old female with a recurrent history of upper abdominal pain and intermittent dysphagia underwent endoscopic evaluation that demonstrated an irregular and nodular esophago-gastric （EG） junction and grade I erosive esophagitis. Biopsies showed prominent intestinal metaplasia of Barrett＇s type without dysplasia, chronic inflammation and multiple aggregates of large cells within the mucosal lamina propria, some with spindle shaped nuclei. Immunohistochemistry stains for keratins AE-1/ AE-3 were negative, while S-100 and NSE were positive. This, together with routine stains, was diagnostic for mucosal ganglioneuromatosis. The background of chronic inflammation with intestinal type metaplasia was consistent with long-term reflux esophagitis. No evidence of achalasia was seen. Biopsies of gastric antrum and fundus were unremarkable, without ganglioneural proliferation. Colonoscopy was unremarkable. No genetic syndromes were identified in the patient including familial adenomatous polyposis and multiple endocrine neoplasia type Ⅱ b （MEN Ⅱ b）. Iansoprazole （Prevacid） was started by oral administration each day with partial relief of symptoms. Subsequent esophagogastroscopy repeated at 4 mo showed normal appearing EG junction. Esophageal manometry revealed a mild nonspecific lower esophageal motility disorder. Mild motor dysfunction is seen with gastro-esophageal reflux disease （GERD） and we feel that the demonstration of localized ganglioneuromatosis was not likely related etiologically. In the absence of findings that might suggest neural hypertrophy, such as achalasia, the nodular mucosal irregularity seen with this instance of ganglioneuromatosis may, however, have exacerbated the patient＇s reflux.

关键词： Manometry Motility Lower esophago-gastric junction Esophagus Ganglioneuromatosis

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Multiple Tracking of Moving Objects with Kalman Filtering and PCA-GMM Method

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Intelligent Information Management 2013年第2期5卷 42-47页

作者： Emadeldeen Noureldaim Mohamed Jedra Nouredine zahid Laboratory of Conception and Systems Faculty of Sciences Mohamed V University Rabat Morocco

In this article we propose to combine an integrated method, the PCA-GMM method that generates a relatively improved segmentation outcome as compared to conventional GMM with Kalman Filtering (KF). The combined new method the PCA-GMM-KF attempts tracking multiple moving objects;the size and position of the objects along the sequence of their images in dynamic scenes. The obtained experimental results successfully illustrate the tracking of multiple moving objects based on this robust

关键词： Component Pixels Gaussian Mixture Model Principle Component Analysis Background Model Noise Process Segmentation Tracking Kalman Filtering

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Statistical Modelling of Ultrasonic Pulse Velocity of Fly Ash Based Geopolymer Mortar using Response Surface Methodology

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Journal of Architectural Environment & Structural Engineering Research 2019年第4期2卷 11-17页

作者： Muhammad zahid Nasir Shafiq Muhammad Ali Department of Civil Engineering Universiti Teknologi PetronasSeri IskandarMalaysia Department of Civil Engineering University of Engineering and Technology LahorePakistan

The fly ash based geopolymer has emerged as a capable and sustainable binder material in construction *** pulse velocity(UPV)method is a non-destructive technique for investigating the mechanical performance of *** investigation was performed for studying the effect of NaOH Molarity,Na2SiO3/NaOH and curing temperature on the ultrasonic pulse velocity of geopolymer *** were designed based on central composite design(CCD)technique of response surface methodology(RSM).Statistical model was developed and statistically validated and found significant as the difference between adjustable R-squared and predicted R-squared less than ***,the optimized mix proportion was assessed for maximized value of *** validation on the optimized mix reveals the close agreement between experimental and predicted values of UPV with significance level of more than 95%.The proposed technique improves the yield,the reliability of the product and the processes.

关键词： Geopolymer Fly ash NaOH molarity Na2SiO3/NaOH Curing temperature Ultrasonic pulse velocity Response surface methodology Optimization

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铝酸锶与玻璃粉的混合物作为新型发光材料用于道路混凝土路面

铝酸锶与玻璃粉的混合物作为新型发光材料用于道路混凝土路面

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作者： Saifullah zahid 西安科技大学

学位级别：硕士

道路需要安装路灯以保护夜间交通和行人的安全,但是在发展中国家的偏远地区安装路灯常造成巨大的经济负担和能源浪费。本文通过将光致材料应用于混凝土路面,以提高无路灯道路的夜间能见度。本研究调查了铝酸锶和玻璃粉的元素组成、化合... 详细信息

道路需要安装路灯以保护夜间交通和行人的安全,但是在发展中国家的偏远地区安装路灯常造成巨大的经济负担和能源浪费。本文通过将光致材料应用于混凝土路面,以提高无路灯道路的夜间能见度。本研究调查了铝酸锶和玻璃粉的元素组成、化合物纯度及形态结构。通过对添加铝酸锶和玻璃粉的发光混凝土路面进行抗压强度实验得到其抗压强度标准值,并对发光混凝土路面的发光性能和磨损性能进行了相关测试。首先,采用X射线荧光光谱仪(XRF)、X射线衍射仪(XRD)和电镜扫描(SEM)对发光混凝土微观结构进行研究。本文通过化学研究发现,铝酸锶和玻璃粉中不存在有害元素。研究结果表明,铝酸锶和玻璃粉可以安全地掺入混凝土中,而不会对道路使用者和环境造成伤害。本文通过对掺入铝酸锶和玻璃粉的发光路面的抗磨、抗压强度进行实验测试。研究表明,铝酸锶和玻璃粉的掺入导致混凝土的强度略有降低,但改性混凝土仍能满足ASTM C-150规定的最低抗压强度要求。此外,本文对发光混凝土路面进行实测发现:当发光路面发光时间在6至8小时后,其路面照度才小于1 lux。本研究提出了一种新的铝酸锶和玻璃粉混合的混凝土发光路面,并将其应用于道路。研究结果将有助于在相关道路上利用发光材料实现可持续和可再生的目标。

关键词：铝酸锶发光混凝土发光路面抗压强度磨损测试

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Enhancing alkyne semi-hydrogenation through engineering metal-support interactions of Pd on oxides

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Nano Research 2024年第5期17卷 3707-3713页

作者： Yuefeng Wu Xiaotong Lu Pengfei Cui Wenyu Jia Jun Zhou Yuan Wang Hussain zahid Yuxin Wu Muhammad Umer Rafique Xiong Yin Baoshan Li Leyu Wang Guolei Xiang State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical TechnologyBeijing 100029China CAS Key Laboratory of Science and Technology on Applied Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China College of Chemical Engineering Beijing University of Chemical TechnologyBeijing 100029China

Supported Pd catalysts show superior activities for olefin productions from alkynes through semi-hydrogenation reactions,but over-hydrogenation into alkanes highly decreases olefin *** phenylacetylene semi-hydrogenation as a model reaction,here we explore the optimization approaches toward better Pd catalysts for alkyne semi-hydrogenation through investigating support effect and metal-support *** results show that the states of Pd with supports can be tuned by varying oxide reducibility,loading ratios,and *** our system,0.06 wt.%Pd on rutile-TiO_(2) nanorods shows the highest activity owing to the synergistic effects of single-atoms and *** reducibility can change the filling degrees of Pd 4d orbitals through varying interfacial bonding strengths,which further affect catalytic activity and selectivity.

关键词： alkyne semi-hydrogenation support effect metal-support interaction Pd catalyst single-atom catalyst

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Weighted Scatter-Difference-Based Two DimensionalDiscriminant Analysis for Face Recognition

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Intelligent Information Management 2012年第4期4卷 108-114页

作者： Hythem Ahmed Mohamed Jedra Nouredine zahid Laboratory of Conception and Systems Faculty of Sciences University of Mohamed V-AGDAL Rabat Morocco

Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension. It has been used widely in many applications involving high-dimensional data, such as face recognition, image retrieval, etc. An intrinsic limitation of classical LDA is the so-called singularity problem, that is, it fails when all scatter matrices are singular. A well-known approach to deal with the singularity problem is to apply an intermediate dimension reduction stage using Principal Component Analysis (PCA) before LDA. The algorithm, called PCA + LDA, is used widely in face recognition. However, PCA + LDA have high costs in time and space, due to the need for an eigen-decomposition involving the scatter matrices. Also, Two Dimensional Linear Discriminant Analysis (2DLDA) implicitly overcomes the singular- ity problem, while achieving efficiency. The difference between 2DLDA and classical LDA lies in the model for data representation. Classical LDA works with vectorized representation of data, while the 2DLDA algorithm works with data in matrix representation. To deal with the singularity problem we propose a new technique coined as the Weighted Scatter-Difference-Based Two Dimensional Discriminant Analysis (WSD2DDA). The algorithm is applied on face recognition and compared with PCA + LDA and 2DLDA. Experiments show that WSD2DDA achieve competitive recognition accuracy, while being much more efficient.

关键词： Feature Extraction Face Recognition LDA PCA 2DPCA 2DLDA WSD2DDA

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ERP系统在中国企业实施的关键成功要素

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中国管理信息化 2013年第19期16卷 57-59页

作者： Muhammad Aamir Obaid khattak 佘元冠李秋梦 zahid A. Memon Nausheen Sayed Muhammad Irfan 北京科技大学东凌经济管理学院北京100083 北京理工大学经济管理学院北京100081 北京交通大学经济管理学院北京100044

本文定性研究关键成功因素法(CSF)与ERP系统在中国企业实施的相互联系,该研究主要采用多案例研究方法,数据通过对4个组织进行问卷调查获得。5个命题是基于现有文献中归纳的确定因素提出的,并且这些命题已经在其他案例研究中得到了证实... 详细信息

本文定性研究关键成功因素法(CSF)与ERP系统在中国企业实施的相互联系,该研究主要采用多案例研究方法,数据通过对4个组织进行问卷调查获得。5个命题是基于现有文献中归纳的确定因素提出的,并且这些命题已经在其他案例研究中得到了证实。本研究旨在探讨,以往的学术研究中得到认同的关键成功因素法,在中国企业实施ERP系统的情况下,是否值得慎重考虑。研究结果表明,在实施ERP系统的情况下,培训的质量和数量,高层管理的支持和参与以及供应商的支持,这3个因素十分重要并且是中国企业的实际考核因素。

关键词：关键成功因素法企业资源规划建议问卷调查法多案例研究法

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几种卷积神经网络图像分类模型的性能分析

几种卷积神经网络图像分类模型的性能分析

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作者： Rasheed zahid 哈尔滨工业大学

学位级别：硕士

CNN是一个受生物启发的前馈网络,具有相当大的计算复杂度。CNN的优点在于它比人工神经网络(ANN)能以较少的参数处理大量的图像数据。深度神经网络已成为解决图像分类、目标检测、天气预报等众多机器学习问题的有效方法。事实上,许多基于... 详细信息

CNN是一个受生物启发的前馈网络,具有相当大的计算复杂度。CNN的优点在于它比人工神经网络(ANN)能以较少的参数处理大量的图像数据。深度神经网络已成为解决图像分类、目标检测、天气预报等众多机器学习问题的有效方法。事实上,许多基于CNN的图像分类的论文揭示了一些误差。这些论文大多使用了多种模型,并努力找到一条直接通向有效结果的途径。通过目前的研究,我们希望在选择最佳模型时简化过程。该项目的主要目标是(1)使用VGG16、RESNET50、Inception V3和Xception实现深度神经网络模型(2)比较和评估以上所有模型在准确性方面的表现。(3)深入洞察CNN模型的综合工作。在这个项目中,我们使用了一个植物幼苗数据集,有12个类别,不同数量的图像。我们的实验分为三个部分(1)使用直接从Keras应用程序下载的Image Net预训练模型,在相同的学习率0.0001和相同的优化器(Adam)下,对上述所有模型在植物幼苗数据集上的性能进行比较,而不进行微调(2)在同一个优化器(Adam)上进行微调,学习率为0.0001的模型与直接从Keras下载的Image Net预训练模型的上述精度比较,所有模型都在植物幼苗数据集上运行(3)我们比较了在相同学习率(即0.0001)下,使用Adam优化器对植物幼苗数据集进行模型训练的批大小效应。此外,在比较中,我们发现在所提出的模型中,没有微调的Res Net50的测试准确率为88%,而对于植物幼苗数据集,微调的Xception模型的测试准确率为97%。实验证明,在模型训练中,通过增加批量大小可以提高训练和测试的精度。

关键词：图像分类深度学习迁移学习植物幼苗数据集

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Viral outbreaks and communicable health hazards due to devastating floods in Pakistan

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World Journal of Virology 2016年第2期5卷 82-84页

作者： Umar Saeed Zahra zahid Piracha Department of International Affairs and Education Jeonju University Department of Microbiology School of MedicineAjou University

Pakistan is a developing country that has a population of 190 million people and faces a huge burden of viral diseases. Every year during monsoon season heavy rain fall and lack of disaster management skills potentially increase the transmission of waterborne diseases, vector borne diseases and viral outbreaks. Due to severe flooding, thousands of people lose their lives and millions are displaced each year. In most of the cases the children who lose their family members are forced into illegal professions of begging, child labor and prostitution which make them prone to sexually transmitted infections. Up to date, no scientific study has been conducted nationwide to illustrate epidemiological patterns of waterborne diseases, vector borne diseases and viral epidemics during flash flood. Mosquito sprays would not be a sufficient approach for dengue eradication; mass awareness, larvicide and biological control by Guppy fishes are also effective strategies to overcome dengue problem. International health bodies and non-governmental organizations must take note of this alerting situation and take adequate steps such as financial/medical aid in order to defeat the after-effects of flood.

关键词： Health hazards Viral outbreak Dengue Flood Waterborne diseases

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Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

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Computers, Materials & Continua 2023年第2期74卷 3727-3741页

作者： Md zahid Hasan Ontor Md Mamun Ali Kawsar Ahmed Francis M.Bui Fahad Ahmed Al-Zahrani S.M.Hasan Mahmud Sami Azam Department of Software Engineering(SWE) Daffodil International University(DIU)SukrabadDhaka1207Bangladesh Group of Biophotomatiχ Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonS7N5A9SKCanada Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Computer Science American International University-Bangladesh(AIUB)KuratoliDhaka1229Bangladesh College of Engineering IT and EnvironmentCharles Darwin UniversityCasuarina0909NTAustralia

Cervical Cancer(CC)is a rapidly growing disease among women throughout the world,especially in developed and developing *** this many women have ***,it is curable if it can be diagnosed and detected at an early stage and taken proper *** the high cost,awareness,highly equipped diagnosis environment,and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early *** solve this issue,the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix cell *** system is designed using the YOLOv5(You Only Look Once Version 5)model,which is a deep learning *** build the model,cervical cancer pap-smear test image datasets were collected from an open-source repository and these were labeled and *** the YOLOv5 models were applied to the labeled dataset to train the *** versions of the YOLOv5 model were applied in this study to find the best fit model for building the automated system to diagnose CC at an early *** of the model’s variations performed *** model can effectively detect cervical cancerous cell,according to the findings of the *** the medical field,our study will be quite *** can be a good option for radiologists and help them make the best selections possible.

关键词： Cervical cancer pap-smear deep learning cancerous cell YOLOv5 model

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