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| 1 | Autologous CD34^+ and CD133^+ stem cells transplantation in patients with end stage liver disease显示文摘AIM:To assess the utility of an autologous CD34 + and CD133 + stem cells infusion as a possible therapeutic modality in patients with end-stage liver diseases.METHODS:One hundred and forty patients with endstage liver diseases were randomized into two groups.Group 1,comprising 90 patients,received granulocyte colony stimulating factor for five days followed by autologous CD34 + and CD133 + stem cell infusion in the portal vein.Group 2,comprising 50 patients,received regular liver treatment only and served as a control group.RESULTS:Near normalization of liver enzymes and improvement in synthetic function were observed in 54.5% of the group 1 patients;13.6% of the patients showed stable states in the infused group.None of the patients in the control group showed improvement.No adverse effects were noted.CONCLUSION:Our data showed that a CD34 + and CD133 + stem cells infusion can be used as supportive treatment for end-stage liver disease with satisfactory tolerability. | Hosny Salama Abdel-Rahman N Zekri Abeer A Bahnassy Eman Medhat Hanan A Halim Ola S Ahmed Ghada Mohamed Sheren A Al Alim Ghada M Sherif | 2010 | World Journal of Gastroenterology2010，16，42： | 16 |
| 2 | Targeting the PI3K/ AKT/mTOR and Raf/MEK/ERK pathways in the treatment of breast cancer 显示文摘 | Saini KS Sherene L Evandro DA | 2013 | Cancer Treat Rev2013，39，： | 1 |
| 3 | RNF38 encodes a nuclear ubiquitin protein ligase that modifies p53显示文摘 | Sheren J E Kassenbrock C K | 2013 | Biochem Bio- phys Res Commun2013，440，4： | 1 |
| 4 | CD4^sup +^ follicular helper T cell infiltration predicts breast cancer survival显示文摘 | Gu-Trantien Chunyan Loi Sherene Garaud Soizic Equeter Carole Libin Myriam deWind Alexandre Ravoet Marie LeBuanec H?l?ne Sibille Catherine Manfouo-Foutsop Germain Veys Isabelle Haibe-Kains Benjamin Singhal Sandeep K Michiels Stefan Roth? Fra | 2013 | Journal of Clinical Investigation2013，，7： | 1 |
| 5 | CD73 promotesanthracycline resistance and poor prognosis in triple negativebreast cancer显示文摘 | Sherene L Sandra P Benjamin H K a/ | 2013 | Proc Natl Acad Sci USA2013，110，11： | 1 |
| 6 | Spatial prediction and characterization of heavy metal pollution in soils of Coimbatore district using surfer package 显示文摘 | Sherene T | 2012 | Research Journal of Chemistry and Environment2012，16，2： | 1 |
| 7 | A common language in neoadjuvant breast cancer clinical trials: proposals for standard definitions and endpoints显示文摘 | Debora Fumagalli Philippe L Bedard Zeina Nahleh Stefan Michiels Christos Sotiriou Sherene Loi Joseph A Sparano Matthew Ellis Nola Hylton Jo Anne Zujewski Clifford Hudis Laura Esserman Martine Piccart | 2012 | Lancet Oncology2012，，6： | 1 |
| 8 | A randomized library approach to identifying functional lox site domains for the Cre recombinase显示文摘 | Sheren J Langer SJ Leinwand LA | | 0，，16： | 1 |
| 9 | Green algae Chlorococcum humicola: a new source of bioactive compounds with antimicrobial activity显示文摘 | Bhagavathy S Sumathi P Bell Jancy Sherene I | 2011 | Asian Pacific Journal of Tropical Biomedicine2011，1，1： | 1 |
| 10 | Beyond trastuzumab: New treatment options for HER2-positive breast cancer显示文摘 | Kamal S. Saini Hatem A. Azim Jr Otto Metzger-Filho Sherene Loi Christos Sotiriou Evandro de Azambuja Martine Piccart | 2011 | The Breast2011，，： | 1 |
| 11 | RNF38 encodes a nuclear u- biquitin protein ligase that modifies p53显示文摘 | Sheren JE Kassenbrock CK | 2013 | Biochem Bio- phys Res Commun2013，440，4： | 1 |
| 12 | 十二星座女性的“男性意向”显示文摘瑞士著名精神分析学家卡尔·荣格提出了“男性意向”这个概念,以让人们更好地理解女性内心男性化的一面。在占星学中,我们通常将女性内心男性化的一面与其太阳星座联系在一起。她内心男性化的一面与她可能喜欢何种类型的男性有关联吗甲答案是肯定的。 | Sherene Schostak 宇文斐 | 2010 | 英语沙龙(初级版)2010，，5： | 0 |
| 13 | Solar Radiation Prediction Using Satin Bowerbird Optimization with Modified Deep Learning显示文摘Solar energy will be a great alternative to fossil fuels since it is clean and renewable.The photovoltaic(PV)mechanism produces sunbeams’green energy without noise or pollution.The PV mechanism seems simple,seldom malfunctioning,and easy to install.PV energy productivity significantly contributes to smart grids through many small PV mechanisms.Precise solar radiation(SR)prediction could substantially reduce the impact and cost relating to the advancement of solar energy.In recent times,several SR predictive mechanism was formulated,namely artificial neural network(ANN),autoregressive moving average,and support vector machine(SVM).Therefore,this article develops an optimal Modified Bidirectional Gated Recurrent Unit Driven Solar Radiation Prediction(OMBGRU-SRP)for energy management.The presented OMBGRU-SRP technique mainly aims to accomplish an accurate and time SR prediction process.To accomplish this,the presented OMBGRU-SRP technique performs data preprocessing to normalize the solar data.Next,the MBGRU model is derived using BGRU with an attention mechanism and skip connections.At last,the hyperparameter tuning of the MBGRU model is carried out using the satin bowerbird optimization(SBO)algorithm to attain maximum prediction with minimum error values.The SBO algorithm is an intelligent optimization algorithm that simulates the breeding behavior of an adult male Satin Bowerbird in the wild.Many experiments were conducted to demonstrate the enhanced SR prediction performance.The experimental values highlighted the supremacy of the OMBGRU-SRP algorithm over other existing models. | Sheren Sadiq Hasan Zainab Salih Agee Bareen Shamsaldeen Tahir Subhi R.M.Zeebaree | 2023 | Computer Systems Science & Engineering2023，46，9： | 0 |
| 14 | Single and Hybrid Design Polycaprolactone (PCL) Scaffolds: Cell Culture Study显示文摘 | Md Enamul Hoque Yong Leng Chuan Ian Pashby Siti Sheren Aini Angela Ng Min Hwei Ruszymah Idrus | 2013 | 材料科学与工程(中英文A版)2013，3，5： | 0 |
| 15 | Modified Wild Horse Optimization with Deep Learning Enabled Symmetric Human Activity Recognition Model显示文摘Traditional indoor human activity recognition(HAR)is a timeseries data classification problem and needs feature extraction.Presently,considerable attention has been given to the domain ofHARdue to the enormous amount of its real-time uses in real-time applications,namely surveillance by authorities,biometric user identification,and health monitoring of older people.The extensive usage of the Internet of Things(IoT)and wearable sensor devices has made the topic of HAR a vital subject in ubiquitous and mobile computing.The more commonly utilized inference and problemsolving technique in the HAR system have recently been deep learning(DL).The study develops aModifiedWild Horse Optimization withDLAided Symmetric Human Activity Recognition(MWHODL-SHAR)model.The major intention of the MWHODL-SHAR model lies in recognition of symmetric activities,namely jogging,walking,standing,sitting,etc.In the presented MWHODL-SHAR technique,the human activities data is pre-processed in various stages to make it compatible for further processing.A convolution neural network with an attention-based long short-term memory(CNNALSTM)model is applied for activity recognition.The MWHO algorithm is utilized as a hyperparameter tuning strategy to improve the detection rate of the CNN-ALSTM algorithm.The experimental validation of the MWHODL-SHAR technique is simulated using a benchmark dataset.An extensive comparison study revealed the betterment of theMWHODL-SHAR technique over other recent approaches. | Bareen Shamsaldeen Tahir Zainab Salih Ageed Sheren Sadiq Hasan Subhi R.M.Zeebaree | 2023 | Computers, Materials & Continua2023，，5： | 0 |
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