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Correlation between tibial nail length and olecrenon to 5th metacarpal head measurement: An anthropometric study

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Chinese Journal of Traumatology 2019年第6期22卷 361-363页

作者： Atmananda Hegde nabeel mohammed Naufal Rizwan Ahmed Department of Orthopaedics Kasturba Medical CollegeManipal Academy of Higher EducationMangaloreIndia

Purpose:During fracture fixation,the size of tibial nail is a vital factor affecting the outcomes and thus preoperative estimation of tibial nail length is very important.This study aims to find out whether"olecranon to 5th metacarpal head"(O-MH)measurement can be used to reliably predict the tibial nail length.Methods:This was a cross sectional study involving 100 volunteers.Measurements were done and recorded by two observers on two separate occasions.Tibial nail length estimation measurement was done from highest point of tibial tuberosity to the tip of the medial malleolus(TT-MM).O-MH measurement was taken from tip of olecranon to the tip of 5th metacarpal head with wrist in neutral position and hand clenched.Statistical analysis was done to find out correlation between two measurements and influence of age,gender and body mass index on them.Results:Paired t-test showed no systematic error between the readings.Intraclass correlation coefficient showed strong agreement in inter and intra observer settings.Strong correlation was found between the TT-MM&O-MH measurements using Pearson's correlation coefficient test(r=0.966).Hierarchical regression analysis showed age,gender and BMI have no statistically significant bearings on these measurements and their correlations.Conclusion:O-MH measurement is a useful and accurate means of estimating tibial nail length preoperatively.

关键词： Tibial nail length Olecranon 5th metacarpal head Correlation Accurate estimation

Effect evaluation of shale types on hydrocarbon potential using well logs and crossplot approach,Halewah oilfield,Sab'atayn Basin,Yemen

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Energy Geoscience

Energy Geoscience 2022年第2期3卷 202-210页

作者： nabeel A.S.Al Al-Azazi A.S.A.E.Alsrory mohammed Albaroot Oil and Gas Engineering Department Faculty of Oil and MineralsShabwah UniversityShabwaYemen Geophysics Administration Yemen Company for Investment in Oil&MineralsSana'aYemen Applied Geology Department Faculty of SciencesSaba University RegionMaribYemen

Log-analysts typically distinguish three types of shale distribution in clastic reservoirs,that is,laminated,dispersed and structural distribution,which tend to influence the effective porosity and permeability of reservoirs.The Alif Member is made up of sandstone interbedded with some shale,with shale dominating on top and at the bottom.In sedimentary formations,the gamma ray log normally reflects the shale content.The gamma ray log and neutron-density porosity crossplot is used to estimate a reservoir's shale volume(Vsh),according to which the Alif Member is divided into three zones.In addition,shale types are recognized by neutron-density porosity crossplot,and the correlation coefficients of gamma ray log-based Vsh and neutron-density porosity-based Vsh are suggested to be reliable.The Vsh and shale types of the three zones are compared against the reservoir's potential to yield hydrocarbons.The major oil intervals mainly concentrate in shaly sand and sandstone zones of dispersed and laminated shale types.The third zone,the lowermost interval,contains pure shale of laminated type and is considered out of reservoir standards in hydrocarbon production due to its excessive shale volume.Quantitative assessment of shale type distribution and Vsh by crossplot approach could not furnish correct information to evaluate massive shale intervals.

关键词： Shale type distribution Shale volume(Vsh) Shaly sandstone reservoir Alif member Sab'atayn Basin Yemen

A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction

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Computers, Materials & Continua 2022年第10期73卷 295-310页

作者： mohammed Gollapalli Atta-ur-Rahman Dhiaa Musleh Nehad Ibrahim Muhammad Adnan Khan Sagheer Abbas Ayesha Atta Muhammad Aftab Khan Mehwash Farooqui Tahir Iqbal mohammed Salih Ahmed mohammed Imran BAhmed Dakheel Almoqbil Majd nabeel Abdullah Omer Department of Computer Information System(CIS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science(CS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Pattern Recognition and Machine Learning Lab Department of Software EngineeringGachon UniversityInchonKorea Department of Computer Science National College of Business Administration and EconomicsLahorePunjab54000Pakistan Department of Computer Science Government College University(GCU)LahorePunjab54000Pakistan Department of Computer Engineering(CE) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia College of Business Administration Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Networks and Communications(NC) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various systems.Such as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects worldwide.Traffic congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the road.To address this overwhelming problem,in this article,a cloudbased intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy approach.The aim of the study is to reduce the delay in the queues,the vehicles experience at different road junctions across the city.The proposed model also intended to help the automated traffic control systems by minimizing the congestion particularly in a smart city environment where observational data is obtained from various implanted Internet of Things(IoT)sensors across the road.After due preprocessing over the cloud server,the proposed approach makes use of this data by incorporating the neuro-fuzzy engine.Consequently,it possesses a high level of accuracy by means of intelligent decision making with minimum error rate.Simulation results reveal the accuracy of the proposed model as 98.72%during the validation phase in contrast to the highest accuracies achieved by state-of-the-art techniques in the literature such as 90.6%,95.84%,97.56%and 98.03%,respectively.As far as the training phase analysis is concerned,the proposed scheme exhibits 99.214% accuracy. The proposed prediction modelis a potential contribution towards smart cities environment.

关键词： Neuro-fuzzy machine learning congestion prediction AI cloud computing smart cities

中国与加拿大温室蔬菜生产和新鲜蔬菜食品安全管理比较分析

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吉林农业 2013年第12期 60-62页

作者：仇建飞 John Zhang Patricia.Cote Simone.Dalpe nabeel.mohammed 王立春魏春雁吉林省农业科学院农业质量标准与检测技术研究所农业部农产品质量安全风险评估实验室长春130033 加拿大阿尔伯塔省农业部南部作物多样化研究中心 BrooksCanada

【摘要】本文对中国和加拿大在温室结构类型、主要栽培技术、温室管理控制、病虫害防治管理及蔬菜的包装与销售及新鲜蔬菜食品安全管理等方面进行了详细阐述，指出了我国温室蔬菜生产的不足之处，同时为我国温室生产发展提出建议。

关键词：中国加拿大温室蔬菜比较

A Qualitative Perstective on Idempotency Defect of Two Level System Interacting with Laser and Quantized Field

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Smart Grid and Renewable Energy 2010年第1期1卷 40-46页

作者： Sayed Abdel-Khalek mohammed mohammed Ahmed Waleed nabeel Razek Abdel Shafy Obada Mathematics Department Faculty of Science Al-Azher University Nassr City Cairo Egypt Mathematics Department Faculty of Science Al-Azher University Nassr City Cairo Egypt Department of Mathematics Faculty of Science Sohag University Sohag Egypt Mathematics Department Faculty of Science Taif University Taif Saudi Arabia Department of Mathematics Faculty of Science Sohag University Sohag Egypt Mathematics Department Physics Division National Research Centre Cairo Egypt

Entanglement due to the interaction of a two level atom with a laser and quantized field is investigated. The role of the nonlinearity due to these interactions is discussed. It is found that the nonlinearity changes strongly the behavior of the entanglement also the detuning parameters have important role in the structure of the measure of entanglement.

关键词： Entanglement Idempotency Defect Two-Level System Quantized

Analysis of the Offspring Sex Ratio of Chicken by Using Molecular Sexing

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Agricultural Sciences in China 2006年第7期5卷 545-549页

作者： FENG Yan-ping GONG Yan-zhang nabeel Ahmed Affara PENG Xiu-li YUAN Jin-feng ZHAO Rui-Xia mohammed Yusuf Osman Jeffer ZHANG Shu-jun College of Animal Science Huazhong Agricultural University Wuhan 430070 P.R.China Department of Pathology Cambridge University Cambridge CB1 2QP UK

The overall sex ratio of offspring （dead embryos and hatch chicks） from all the fertilized eggs of 140 hens collected for 30 days was studied using duplex PCR of certain fragments of sex chromosomes. Additional 894 dead embryos over a period of 21 days of incubation were also investigated to verify the sex ratio of the dead embryos. The sex of the early dead embryos was identified using this molecular sexing technique. The sex ratio of the hatch chicks and the total offspring of the hens investigated in this experiment did not differ from the expected sex ratio （i.e., 1：1）., However, the number of female dead embryos was significantly more than that of males. The data indicated that the different physiologic function of males and females contributed to female-biased mortality during incubation. It was also found by further analysis that the sex ratios of the offspring of some hens were significantly biased to female or male over the period investigated, which suggested that the sex ratio of offspring might be influenced by the maternal condition to some degrees.

关键词： chicken offspring sex ratio sex identification

Dental profession, where does it stand in the head and neck cancer team

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中国口腔颌面外科杂志 2008年第B5期6卷 89-89页

作者： Arwa Y Alami mohammed Ayyash Khaldon haddadin nabeel al nasser osama abu helalah ahmed deeb Surgery Department Oral Surgery Unit King Hussein CancerCenter Amman Jordan

The head and neck region is a complex area composed of several dissimilar structures。Cancers in this region are treated with surgery, radiotherapy, chemotherapy or a combination of the three modalities。Due to the fact that there are increasing number of aged and dentate patients that are being treated for oral cancer and to the fact that patients are expecting more from the dental profession with respect to the quality of life which affects their eating, appearance and speech, we are faced with the challenge of providing dental rehabilitation and follow up for this group of patients。At King Hussein cancer Centre we have a head and neck cancer clinic that started in 2003, during the past five years we treated 502 head and neck cancer patients, both adults and paediatrics。These cancers included oral cavity, salivary tumors, sinuses, nasopharyngeal, mandibular and cancers of unknown origin。Many oral problems were encountered ranging from tumor recurrence, restricted mouth opening, radiation caries, xerostomia, osteoradionecrosis and others。Conclusion: It is mandatory to have a well trained dental oncologist among the head and neck team, for timely and proper dental treatment planning and follow up, as well as collaboration between the various medical specialities to ensure early referral to dental clinics。We also believe in the importance of educating these patients about the nature of their disease, complications and the difficulty and time consuming process of dental treatment in this disease。

关键词：头颈部肿瘤治疗方法临床分析