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| 1 | 染色体异常致反复和后代5p12-15.3三体:一对叙利亚夫妇报道及文献复习(英文)显示文摘在本研究中,我们介绍一叙利亚夫妻发生孕早期反复流产、胎儿畸形和/或新生儿死亡。经检查,父亲表型正常,有一个平衡的染色体易位t(5;15),在无精子症因子(AZF)b座位s Y125基因发生了微缺失而且其伴有MTHFRC677T纯合子基因多态性。值得注意的是,他的妻子则伴有MTHFRA1298C纯合子基因多态性。这对夫妻经历了两次流产,有2个夭折的孩子均为严重畸形,为5号染色体短臂部分三体。夫妻结婚10年后没有任何存活后代。 | Walid AL-ACHKAR Faten Moassass Ayman Al-Ablog Thomas Liehr Xiaobo Fan Abdulsamad Wafa | 2015 | 中华男科学杂志2015，21，3： | 2 |
| 2 | Gastric Histopathologies in Patients Undergoing Laparoscopic Sleeve Gastrectomies显示文摘 | Sulaiman Almazeedi Salman Al-Sabah Ahmed Al-Mulla Ahmed Al-Murad Abdulsamad Al-Mossawi Khaled Al-Enezi Talib Jumaa Waleed Bastaki | 2013 | Obesity Surgery2013，，3： | 1 |
| 3 | Research article prognostic value of AIMS65 Score in cirrhotic patients with upper gastrointestinal bleeding显示文摘 | Gaduputi V Abdulsamad M Tariq H | 2014 | Gastroenterology Research and Practice2014，2014，78： | 1 |
| 4 | RBP4在成骨机制中的蛋白组学研究显示文摘目的对分化阶段中过表达RBP4的MC3T3⁃E1细胞进行定量蛋白组学分析,为后续研究颅缝早闭发病机制中异常成骨的研究奠定基础。方法使用LENTI⁃RBP4转染小鼠MC3T3⁃E1成骨细胞,使其过表达RBP4;培养收集传代细胞,提取蛋白,进行质谱分析,并通过Western blot实验来验证蛋白组学的结果。结果过表达RBP4小鼠成骨细胞中的差异蛋白主要集中在PI3K⁃AKT信号通路和MAPK信号通路。经Western blot验证,RBP4过表达组的Ikbkg、Akt和Col1a1表达量显著高于空载体组,而Nfkb1、Traf2、Cdk4、RAS、Mapk3和Braf表达量则明显下调。结论过表达RBP4可能通过同时激活PI3K信号通路和拮抗MAPK信号通路来促进成骨细胞分化。 | Abdulsamad Ghanem 柯荣湖 穆雄铮 吴颖之 | 2021 | 组织工程与重建外科2021，17，5： | 1 |
| 5 | The use of antibody sensitized latex to detect Cymbidium mosaic virus in orchids显示文摘 | Abdulsamad N Ari z | 1993 | Pertanika Journal of Tropical Agriculture Science1993，16，2： | 1 |
| 6 | The use of antibody sensitized latex to detect Cymbidium mosaic virus in orchids显示文摘 | Abdulsamad N | 1993 | Pertanika Journal of Tropical Agriculture Science1993，16，2： | 1 |
| 7 | Bi- clonal myelodysplasfic syndrome involving six chromosomes and monoallelic loss of RB1-a rare case 显示文摘 | Walid Al-Achkar Abdulsamad Wafa Elisabeth Klein | 2011 | Molecular Cytogenetics2011，16，4： | 1 |
| 8 | Modeling of HIV Transmission in Nasarawa State, Nigeria: An Analysis of Distribution of New Infections显示文摘 | Ishaku Ara Bako Abdulsamad Salihu Ifeanyi Okekearu Jennifer Anyanti | 2017 | Journal of US-China Medical Science2017，14，3： | 0 |
| 9 | Target Detection Algorithm in Crime Recognition Using Artificial Intelligence显示文摘Presently,suspect prediction of crime scenes can be considered as a classification task,which predicts the suspects based on the time,space,and type of crime.Performing digital forensic investigation in a big data environment poses several challenges to the investigational officer.Besides,the facial sketches are widely employed by the law enforcement agencies for assisting the suspect identification of suspects involved in crime scenes.The sketches utilized in the forensic investigations are either drawn by forensic artists or generated through the computer program(composite sketches)based on the verbal explanation given by the eyewitness or victim.Since this suspect identification process is slow and difficult,it is required to design a technique for a quick and automated facial sketch generation.Machine Learning(ML)and deep learning(DL)models find it useful to automatically support the decision of forensics experts.The challenge is the incorporation of the domain expert knowledge with DL models for developing efficient techniques to make better decisions.In this view,this study develops a new artificial intelligence(AI)based DL model with face sketch synthesis(FSS)for suspect identification(DLFSS-SI)in a big data environment.The proposed method performs preprocessing at the primary stage to improvise the image quality.In addition,the proposed model uses a DL based MobileNet(MN)model for feature extractor,and the hyper parameters of the MobileNet are tuned by quasi oppositional firefly optimization(QOFFO)algorithm.The proposed model automatically draws the sketches of the input facial images.Moreover,a qualitative similarity assessment takes place with the sketch drawn by a professional artist by the eyewitness.If there is a higher resemblance between the two sketches,the suspect will be determined.To validate the effective performance of the DLFSS-SI method,a detailed qualitative and quantitative examination takes place.The experimental outcome stated that the DLFSSSI model has outperformed the compared methods in terms of mean square error(MSE),peak signal to noise ratio(PSNR),average actuary,and average computation time. | Abdulsamad A.AL-Marghilani | 2022 | Computers, Materials & Continua2022，，4： | 0 |
| 10 | Experimental Study on Volume Change Indices of Bentonite Soils显示文摘This paper reports experimental results regarding statically compacted clay specimens to study the volume change behavior of bentonites. The volume change indices such as the coefficients of compressibility, volume compressibility, and consolidation (i.e. av, mv and cv respectively) and the saturated coefficient of permeability k at different surcharge pressures were determined with the commonly adopted procedures. The swell potentials, swelling pressures, different phases of the swollen specimens were analyzed for the volume change behavior during compression. Experimental results revealed that the swell potential is dependent on the initial dry density, the initial water content and the vertical pressure at which the clay specimens were allowed to swell. The swelling pressure was found to be similar for the specimens with varying water content, showing strong dependency on the initial void ratio. The compression indices (viz. mv and av) of saturated specimens decreased with an increase in the vertical pressure. About 80% to 90% of the volume change occurred in the primary compression phase under any given vertical pressure. The coefficient of consolidation cv and the saturated coefficient of permeability k decreased with an increase in the vertical pressure. | Muhammad Babar Khan Muhammad Abrar Khan Ayham Abdulsamad | 2007 | Journal of Southwest Jiaotong University(English Edition)2007，15，4： | 0 |
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