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An Empirical Study of the EFQM Excellence Model in Jordan Case Study： Jordan Customs

通讯和计算机（中英文版） 2013年第1期10卷 28-32页

作者： Bashar Hussein Sarayreh Mohamad Mohamad A1-Laham tareq AbedAlaziz, A1 Khayyat Arab Academy for Banking and Financial Sciences MIS dept - Amman AI-Balqa Applied University MIS dept. Jordan. Strategic Center for Organizational Performance Improvement (SCOPl) Jordan

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分析安曼市的公园

分析安曼市的公园

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作者：约旦（Izzeddin tareq Izzat Aqel）北京交通大学

学位级别：硕士

这项研究的目的是发现如何在解决安曼公园不足的问题上使用场所营造技术,并强调城市公共公园的效率低下。该研究采用分析方法来分析安曼的公园状况,以及如何在世界范围内取得成功。此外,这项研究还包括量化部分,作为调查和实地观察,以... 详细信息

这项研究的目的是发现如何在解决安曼公园不足的问题上使用场所营造技术,并强调城市公共公园的效率低下。该研究采用分析方法来分析安曼的公园状况,以及如何在世界范围内取得成功。此外,这项研究还包括量化部分,作为调查和实地观察,以了解安曼居民如何看待公园,以及他们如何愿意参与开发和改善其附近的公园,这与将公众纳入公园的场所营造方法有关。反映地点的过程。首先,该研究突出了安曼公园的效率低下以及大多数地区如何遭受公园严重短缺的困扰。其次,定义了场所营造方法,以及它如何集中于与场所识别相关的集体转换过程。然后,展示了来自世界的成功经验。随后,公共公园和场所营造相互联系,以了解如何构建成功的社区公园,为此目的,展示了安曼的7hills Park案例。目的是通过地方规划和公民参与区域公园的组织,目标和活动来找到安曼公园不足的解决方案。

关键词：场所营造公园安曼绿色空间

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Magnetic Resonance Perfusion in Brain Tumors: Comparison of Different Evaluation Approaches in Dual-Echo and Multi-Echo Techniques

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International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 2017年第2期6卷 174-192页

作者： Volker Hietschold Andrij Abramyuk tareq Juratli Kerim Hakan Sitoci-Ficici Michael Laniado Jennifer Linn Radiology University Hospital Carl Gustav Carus Dresden Germany Neuroradiology University Hospital Carl Gustav Carus Dresden Germany Neurosurgery University Hospital Carl Gustav Carus Dresden Germany

Dynamic measurements of T1 shortening (dynamic contrast enhanced—DCE) as well as of T2*shortening (dynamic susceptibility contrast—DSC) as two separate measurement strategies are widely used to quantitatively describe tumor perfusion and vascularity. Dual-echo approaches allow for the simultaneous assessment of both effects. The extension to multi-echo sequences should inhere the advantage of improved signal-to-noise ratios and more precise sampling of the T2*decay. The aim of our study is to investigate, if an extension of the dual-echo approach to the multi-echo approach allows for more stable quantitative determination of pharmacokinetic parameters in brain tumors. This study applies a multi-echo approach to obtain different estimations of a vascular input function and analyzes various combinations of vascular input functions and pharmacokinetic models. Perfusion measurements were performed with 52 consecutive patients with different brain tumors using a 10-echo gradient echo sequence. Our findings show that the extension to multi-echo sequences leads to an 11%-improvement of the Contrast-to-Noise ratio. Compared to other combinations, an application of Extended Tofts model using the T2*-related venous output function or an output function estimated in the tumor tissue enables the most reliable determination of perfusion parameters, reducing the reproducibility range by a factor of 1.2 to 10 for Ktrans and of 1.2 to 5.5 in the case of rBV calculation. Determination of Ktrans within repeated measurements within about 3 days results as most stable, if AIF from tumor pixels is used as vascular input function, meaning that the scatter is reduced by a factor of 1.2 compared to the next best VIF and by a factor of 10 compared to the worst of the tested approaches. In addition, this study shows that signal decomposition into two components with different Larmor frequ

关键词： MRI Brain Tumors Perfusion

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Styloid Process Is the Robust Landmark for Identification of the Facial Nerve during Parotid Surgery

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International Journal of Otolaryngology and Head & Neck Surgery 2022年第4期11卷 164-174页

作者： Ashraful Islam Mashiur Rahman tareq Mohammad Milon Kazi Nazmul Hossain Choudhury ASM Lutfur Rahman Farid Uddin Milki Head Otolaryngology—Head & Neck Surgery Bangladesh Medical College & Hospital Dhaka Bangladesh ENT Bangladesh Medical College & Hospital Dhaka Bangladesh

Objective: To identify the facial nerve trunk (FNT) very easily. quickly and accurately considering the styloid process as the robust anatomically consistent landmark during parotid surgery. Patients and Methods: This prospective study was conducted between January 2010 to December 2022 at a Tertiary care hospital. It included 130 patients: 84 (65%) males and 46 (35%) females with a mean age of 43.52 ± 15.63 years. Patients presented with pleomorphic adenoma (90), chronic sialectasis (05), parotid cyst (03), parotid sinus (01), mucoepidermoid carcinoma (28), adenoid cystic carcinoma (02) and squamous cell carcinoma (01) were subjected to superficial parotidectomy and total parotidectomy. The outcome was evaluated regarding the clinical success of facial nerve function that considered the location of the styloid process in the triangle technique for identification of the FNT during parotid surgery. Results: All 130 patients underwent superficial and total parotidectomy. The facial nerve trunk was successfully identified as the location of the styloid process in the triangle technique in all the patients with no intra-operative complications. Operative time ranged from 50 to 180 minutes with a mean time 90.70 ± 15.68 minutes. Dysfunction of the angle of the mouth due to the deficit of the marginal mandibular nerve (MMN) was noted in 5 patients (3.8%), 02 had difficulty in eye closure (1.5%). No patient reported surgical site infection, skin flap necrosis and hematoma in this series. Conclusion: Styloid process is the prominent robust landmark in the triangle technique for the identification of facial nerve trunk with relative ease, safety and accuracy in the parotid surgical procedure. This can be a very useful method to locate the FNT and minimize facial nerve injury during parotid surgery.

关键词： Facial Nerve Trunk Identification Styloid Process Parotid Surgery

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面向未来基础架构支持任意设备间通信

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中国电子商情(基础电子) 2010年第5期 51-52页

作者： tareq Bustami Charlie Kawwas LSI公司网络组件业务部 LSI公司半导体解决方案产品部

尽管全球经济不景气,但这对移动产业的影响似乎微乎其微。截至2009年底,移动产业的全球用户数量已超过40亿,创造收入逾7000亿美元。另据移动设备供应商Ericsson预计,到2020年,全球将实现500亿个连接。

关键词：移动服务产业功能内核 CPU LSI 网络运营商基础架构多核处理器控制层设备制造商数据层网络应用线程 RNC

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Structural-Energy Characteristics of Tribotechnical Contact in Unsteady Operational Modes

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Modern Mechanical Engineering 2016年第3期6卷 91-97页

作者： tareq M. A. Al-Quraan Oksana O. Mikosyanchik Rudolph G. Mnatsakanov Olexander I. Zаporozhets College of Ma’an Al-Balqa’ Applied University Salt Jordan National Aviation University Kiev Ukraine

The current tribological research is intended to achieve maximum wear resistance under the structural adaptability of tribocoupling elements, which requires application of means to reduce the activation of the metal surface layers, decrease in frictional work, regulation of passivation and temperature control. The aim of this study is to identify the patterns that influence the kinetics formation of the boundary layers of lubricating mineral gear oil on activated friction contact surfaces, and the increment of the friction specific work on wear-resistant steel 42Cr4 and 100Cr6 in frequent start and stop operation mode. Due to the activation of surface layers of metal in the non-stationary operating conditions of the contact surfaces, the gradual forming of the boundary lubricant adsorption layers with increased effective viscosity in contact occurs, exhibiting high adaptation ability, and the boundary layer thickness is from 0.2 to 4 microns. This research analyzed the lubricating ability of oil at the starting maximum torque of friction, showing that the thickness of the oil layer formed in contact had a dual nature—boundary and hydrodynamic. The pure rolling conditions promote localization of shear in the lubricating layers, and the high frictional properties of the transmission oil have been identified regardless of the hardness of the investigated surfaces.

关键词： Friction Specific Work Kinetics Formation Boundary Layers Lubricating Layers Hardness

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Bridge Girder Crack Assessment Using Faster RCNN Inception V2 and Infrared Thermography

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Journal of Transportation Technologies 2020年第2期10卷 110-127页

作者： Murad Al Qurishee Weidong Wu Babatunde Atolagbe Joseph Owino Ignatius Fomunung Said El Said Sayed Mohammad tareq Tennessee Department of Transportation Nashville Tennessee USA University of Tennessee at Chattanooga Chattanooga Tennessee USA Maryland Department of Transportation Baltimore Maryland USA Department of Civil & Chemical Engineering The University of Tennessee at Chattanooga Chattanooga Tennessee USA

Manual inspections of infrastructures such as highway bridge, pavement, dam, and multistoried garage ceiling are time consuming, sometimes can be life threatening, and costly. An automated computerized system can reduce time, faulty inspection, and cost of inspection. In this study, we developed a computer model using deep learning Convolution Neural Network (CNN), which can be used to automatically detect the crack and non-crack type structure. The goal of this research is to allow application of state-of-the-art deep neural network and Unmanned Aerial Vehicle (UAV) technologies for highway bridge girder inspection. As a pilot study of implementing deep learning in Bridge Girder, we study the recognition, length, and location of crack in the structure of the UTC campus old garage concrete ceiling slab. A total of 2086 images of crack and non-crack were taken from UTC Old Library parking garage ceiling using handheld mobile phone and drone. After training the model shows 98% accuracy with crack and non-crack types of structures.

关键词： Bridge Girder Convolution Neural Network Crack Detection Structural Health Monitoring Infrared Thermography

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Sensory Evaluation of Flavored Soy Milk-Based Yogurt： A Comparison between Jordanian and Malaysian Consumers

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Journal of Food Science and Engineering 2014年第1期4卷 27-35页

作者： Anas AI-Nabulsi Reyad Shaker tareq Osaili Mahmoud Al-Taani Amin Olaimat Saddam Awaisheh Aisha Abushelaibi Richard Holley Department of Nutrition and Food Technology Faculty of Agriculture Jordan University of Science and Technology Irbid 22110Jordan Department of Food Science Collage of Food and Agriculture United Arab Emirates University Al-Ain 15551 UAE Department of Clinical Nutrition and Dietetics College of Health Sciences University of Sharjah Sharjah 27272 UAE Department of Food Science Faculty of Agriculture and Food Sciences University of Manitoba Winnipeg MB R3T 2N2 Canada Department of Nutrition and Food Technology A l-Balqa Applied University Al-Salt 19117 Jordan

Soy yogurt has gained significant popularity due to its nutritional health benefits. The objectives of this study were to develop flavored yogurt from soybean milk with reduced soy aftertaste by the addition of 30% （wt/wt） strawberry or orange jam in conjunction with a lactic acid fermentation. Soy milk-based yogurt products were assessed for microbial quality and for acceptability by a panel of Jordanian and Malaysian consumers. Sixty-one individuals, of whom 75.4% （n = 46） were Jordanian and 24.6% （n = 15） were Malaysian, evaluated the plain and flavored soy milk-based yogurt. The overall acceptability of orange and strawberry soy yogurt was rated significantly higher than plain soy yogurt. In general, the orange and strawberry soy yogurt received higher sensory ratings from Malaysian than Jordanian consumers. In addition, formulations with orange jam received higher scores than those flavored with strawberry. Shelf life tests showed that soy yogurt was acceptable for at least 8 d without perceptible spoilage. Therefore, the approach used yielded flavored products with better acceptability and improved sensory attributes, including decreased intensity of off flavor, with suitable shelf life at 4 ℃.

关键词： Soy milk sensory evaluation flavored yogurt shelf life functional food.

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Enhanced Multi-Objective Grey Wolf Optimizer with Lévy Flight and Mutation Operators for Feature Selection

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Computer Systems Science & Engineering 2023年第11期47卷 1937-1966页

作者： Qasem Al-Tashi tareq M Shami Said Jadid Abdulkadir Emelia Akashah Patah Akhir Ayed Alwadain Hitham Alhussain Alawi Alqushaibi Helmi MD Rais Amgad Muneer Maliazurina B.Saad Jia Wu Seyedali Mirjalili Department of Imaging Physics The University of Texas MD Anderson Cancer CenterHoustonTXUSA Department of Electronic Engineering University of YorkYorkYO105DDUK Computer and Information Sciences Department Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Computer Science Department Community CollegeKing Saud UniversityRiyadhP.O.Box 145111Saudi Arabia Torrens University Australia BrisbaneQLDAustralia Yonsei Frontier Lab Yonsei UniversitySeoulKorea University Research and Innovation Center Obuda UniversityBudapest1034Hungary

The process of selecting features or reducing dimensionality can be viewed as a multi-objective minimization problem in which both the number of features and error rate must be *** it is a multi-objective problem,current methods tend to treat feature selection as a single-objective optimization *** paper presents enhanced multi-objective grey wolf optimizer with Lévy flight and mutation phase(LMuMOGWO)for tackling feature selection *** proposed approach integrates two effective operators into the existing Multi-objective Grey Wolf optimizer(MOGWO):a Lévy flight and a mutation *** Lévy flight,a type of random walk with jump size determined by the Lévy distribution,enhances the global search capability of MOGWO,with the objective of maximizing classification accuracy while minimizing the number of selected *** mutation operator is integrated to add more informative features that can assist in enhancing classification *** feature selection is a binary problem,the continuous search space is converted into a binary space using the sigmoid *** evaluate the classification performance of the selected feature subset,the proposed approach employs a wrapper-based Artificial Neural Network(ANN).The effectiveness of the LMuMOGWO is validated on 12 conventional UCI benchmark datasets and compared with two existing variants of MOGWO,BMOGWO-S(based sigmoid),BMOGWO-V(based tanh)as well as Non-dominated Sorting Genetic Algorithm II(NSGA-II)and Multi-objective Particle Swarm Optimization(BMOPSO).The results demonstrate that the proposed LMuMOGWO approach is capable of successfully evolving and improving a set of randomly generated solutions for a given optimization ***,the proposed approach outperforms existing approaches in most cases in terms of classification error rate,feature reduction,and computational cost.

关键词： Feature selection multi-objective optimization grey wolf optimizer Lévy flight mutation classification

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多核心应用提升新一代无线基地台效能

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电子与电脑 2011年第8期11卷 46-49页

作者： Henri Tervonen Sundar Vedantham tareq Bustami LSI公司

智能型手机的普及和无处不在的3G/4G无线网络,持续促使全球无线流量的快速增长。数据流量持续攀升,而语音流量则为持平状态^[1],2007年,网络整体数据流量已经超过了语音流量,而且此趋势还在继续发展。根据预测数据显示,未来几年数据流... 详细信息

智能型手机的普及和无处不在的3G/4G无线网络,持续促使全球无线流量的快速增长。数据流量持续攀升,而语音流量则为持平状态^[1],2007年,网络整体数据流量已经超过了语音流量,而且此趋势还在继续发展。根据预测数据显示,未来几年数据流量的增加幅度每年将高达150%^[2],

关键词： 4G无线网络基地台多核心数据流量应用智能型手机数据显示语音

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