oalib

OALib Journal期刊

ISSN: 2333-9721

费用:99美元

投稿

时间不限

2017 ( 122 )

2016 ( 252 )

2015 ( 5097 )

2014 ( 6141 )

自定义范围…

匹配条件: “F Kalhori” ,找到相关结果约143998条。
列表显示的所有文章,均可免费获取
第1页/共143998条
每页显示
T-Helper Cytokine Patterns and Related Antibodies in Patients with Gestational Diabetes Mellitus
Z Etaati,R Moazzami Godarzi,F Kalhori,SA Sobhani
Tehran University Medical Journal , 2012,
Abstract: Background: Diabetes mellitus (DM) is a group of metabolic disorders such as DM I, DM II, secondary causes of DM and gestational diabetes mellitus characterized by hyperglycemic phonotype. The etiology of gestational diabetes mellitus is unknown. Recent studies address the chronic activity of immune system against infections (not autoimmunity) as an important cause of gestational diabetes mellitus. This study aimed to compare T-helper cells 1 and 2 cytokines and associated antibodies in patients with gestational diabetes mellitus and normal pregnant women. Methods: This cross-sectional study was performed on 45 female patients with GDM and 45 healthy pregnant women in Bandar Abbas, Iran, from 2008- 2009. The exclusion criteria were presence of any infectious diseases or autoimmune disorders such as SLE or RA. Present and past medical histories were taken from the participants thorough physical examination. Blood samples (10 mL) were drawn and sent to laboratory for measuring serum IgE, IgG1, IgG2, IgG3, IgG4, interleukin-10 (IL-10), interleukin-12 (IL-12), transforming growth factor-beta (TGF 1), and interferon-gamma (IFN ) measurements. T-test and Kolmogorov-Smirnov test were used for data analysis. Results: The mean age of the patients with GDM and healthy pregnant women was 32.5 and 27.9 yrs, respectively. T-helper 1 and 2 associated antibodies and cytokines had no significant differences between the case and control groups. Conclusion: The changes in T-helper 1 and 2 associated antibodies and cytokines are not associated with gestational diabetes mellitus and could not be considered as a predictor for gestational diabetes mellitus.
Treatment of oral squamous cell carcinoma using anti-HER2 immunonanoshells
Fekrazad R, Hakimiha N, Farokhi E, Rasaee MJ, Ardestani MS, Kalhori KA, Sheikholeslami F
International Journal of Nanomedicine , 2011, DOI: http://dx.doi.org/10.2147/IJN.S24548
Abstract: eatment of oral squamous cell carcinoma using anti-HER2 immunonanoshells Original Research (3292) Total Article Views Authors: Fekrazad R, Hakimiha N, Farokhi E, Rasaee MJ, Ardestani MS, Kalhori KA, Sheikholeslami F Published Date November 2011 Volume 2011:6 Pages 2749 - 2755 DOI: http://dx.doi.org/10.2147/IJN.S24548 Reza Fekrazad2, Neda Hakimiha3, Enice Farokhi3, Mohammad Javad Rasaee4, Mehdi Shafiee Ardestani5, Katayoun AM Kalhori2, Farzaneh Sheikholeslami1 1Research & Development Department, Production and Research Division of the Pasteur Institute of Iran, Karaj, Iran; 2Dental Department, AJA University of Medical Sciences, Laser Research Center, Dental Faculty, Tehran University of Medical Sciences; 3Dentistry Department, Faculty of Dentistry, Shahed University, Tehran, Iran; 4Department of Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran; 5Hepatitis and AIDS Department, Pasteur Institute of Iran, Tehran Background: Worldwide, oral squamous cell carcinoma (potentially mediated by HER2) is recognized as the most commonly occurring malignant neoplasm of the oral cavity. Anti-HER2 nanobodies conjugated to gold-silica nanoshells and used as photothermal treatment for oral squamous cell carcinoma may provide a novel therapeutic alternative to current treatment for this disease. Methods: KB epithelial or HeLaS3 cell cultures (controls) were exposed to these immunonanoshells, and plasmon resonance electron initiation specific to gold was employed to burn the tumor cells. Results: Following this treatment, significant cell death occurred in the KB tumor cell cultures while there was no evidence of cellular damage or death in the HeLaS3 cell cultures. Conclusion: These findings suggest that photothermal treatment of oral squamous cell carcinoma has considerable advantages.
Effect of Compaction on Physical and Micromorphological Properties of Forest Soils  [PDF]
Iraj Bagheri, Samira Bahram Kalhori, Mehdi Akef, Farhad Khormali
American Journal of Plant Sciences (AJPS) , 2012, DOI: 10.4236/ajps.2012.31018
Abstract: The objective of this research was to assess the effect of skidding machinery on soil physical and micromorphological properties. The different positions (control or non-traffic areas, left wheel track, right wheel track and log track) and two soil depths (0 - 10 and 10 - 20 cm) in three repetitions were investigated. The results showed that average soil dry bulk density in four positions and two soil depths were significantly different. Comparison of average total porosity percentage and soil saturated hydraulic conductivity revealed that there were significant differences in four positions and two soil depths. Soil thin section studies using Image Tool software showed that in compacted samples there was an increase in the number of vughs voids and channels voids were in low occurrence. Micromorphological studies showed that soil compaction caused void size to decrease. In compacted samples voids bigger than 10 μm were very rare and dominant voids size was 2 μm. In compacted samples soil structure were damaged and aggregates were compressed. Also soil matrix was compressed and microstructure was massive. Results from this study confirmed that skidding machinery had a significant effect on soil physical and morphological properties. These changes causes soil and environmental degradation due to reduction in water infiltration increasing soil erosion risk.
Evaluation and Comparison of Different Machine Learning Methods to Predict Outcome of Tuberculosis Treatment Course  [PDF]
Sharareh R. Niakan Kalhori, Xiao-Jun Zeng
Journal of Intelligent Learning Systems and Applications (JILSA) , 2013, DOI: 10.4236/jilsa.2013.53020
Abstract:

Tuberculosis treatment course completion is crucial to protect patients against prolonged infectiousness, relapse, lengthened and more expensive therapy due to multidrug resistance TB. Up to 50% of all patients do not complete treatment course. To solve this problem, TB treatment with patient supervision and support as an element of the “global plan to stop TB” was considered by the World Health Organization. The plan may require a model to predict the outcome of DOTS therapy; then, this tool may be used to determine how intensive the level of providing services and supports should be. This work applied and compared machine learning techniques initially to predict the outcome of TB therapy. After feature analysis, models by six algorithms including decision tree (DT), artificial neural network (ANN), logistic regression (LR), radial basis function (RBF), Bayesian networks (BN), and support vector machine (SVM) developed and validated. Data of training (N = 4515) and testing (N = 1935) sets were applied and models evaluated by prediction accuracy, F-measure and recall. Seventeen significantly correlated features were identified (P <= 0.004; 95% CI = 0.001 - 0.007); DT (C 4.5) was found to be the best algorithm with %74.21 prediction accuracy in comparing with ANN, BN, LR, RBF, and SVM with 62.06%, 57.88%, 57.31%, 53.74%, and 51.36% respectively. Data and distribution may create the opportunity for DT out performance. The predicted class for each TB case might be useful for improving the quality of care through making patients’ supervision and support more case—sensitive in order to enhance the quality of DOTS therapy.

Improvement the Accuracy of Six Applied Classification Algorithms through Integrated Supervised and Unsupervised Learning Approach  [PDF]
Sharareh R. Niakan Kalhori, Xiao-Jun Zeng
Journal of Computer and Communications (JCC) , 2014, DOI: 10.4236/jcc.2014.24027
Abstract:

We have presented an integrated approach based on supervised and unsupervised learning tech- nique to improve the accuracy of six predictive models. They are developed to predict outcome of tuberculosis treatment course and their accuracy needs to be improved as they are not precise as much as necessary. The integrated supervised and unsupervised learning method (ISULM) has been proposed as a new way to improve model accuracy. The dataset of 6450 Iranian TB patients under DOTS therapy was applied to initially select the significant predictors and then develop six predictive models using decision tree, Bayesian network, logistic regression, multilayer perceptron, radial basis function, and support vector machine algorithms. Developed models have integrated with k-mean clustering analysis to calculate more accurate predicted outcome of tuberculosis treatment course. Obtained results, then, have been evaluated to compare prediction accuracy before and after ISULM application. Recall, Precision, F-measure, and ROC area are other criteria used to assess the models validity as well as change percentage to show how different are models before and after ISULM. ISULM led to improve the prediction accuracy for all applied classifiers ranging between 4% and 10%. The most and least improvement for prediction accuracy were shown by logistic regression and support vector machine respectively. Pre-learning by k- mean clustering to relocate the objects and put similar cases in the same group can improve the classification accuracy in the process of integrating supervised and unsupervised learning.

Isolation, Similarity and Subcellular Localisation of Transaldolase from Sugarcane (Saccharum officinarum)
Nahid Kalhori,R. Nulit,Rusea Go
Journal of Molecular Genetics , 2013, DOI: 10.3923/jmolgene.2013.1.2
Abstract: This study focused on isolation, cloning of TAL from sugarcane. Transaldolase is one of the enzymes of the Pentose Phosphate Pathway (PPP). Transaldolase in non-oxidative phase of OPPP transfer a three carbon dihydroxyacetone moiety from sedoheptulose-7-phosphate and glyceraldehyde-3-phophate to produce Erythrose-4-Phophate (E4P) and fructose-6-phophate. E4P is the precursor for many secondary metabolic pathways including aromatic amino acids, lignin and flavonoid synthesis. Earlier studies revealed that OPPP is incomplete in the cytosol of plants as no genes encoding for a cytosolic TAL. Moreover, there is no study about the TAL genes from sugarcane until to date. Thus, the objective of this study is to isolate TAL gene from sugarcane, to compare its similarity with other plants, to determine its subcellular localization. A total of 1601 bp of TAL has been isolated by PCR. Similarity, studies by ClustalW revealed that TAL show highest similarity (75%) with Zea mays. Analysis of subcellular localization by using Target 1.1 revealed that of TAL from sugarcane was not located in the plastidic.
Enhanced cosmic-ray flux toward zeta Persei inferred from laboratory study of H3+ - e- recombination rate
B. J. McCall,A. J. Huneycutt,R. J. Saykally,T. R. Geballe,N. Djuric,G. H. Dunn,J. Semaniak,O. Novotny,A. Al-Khalili,A. Ehlerding,F. Hellberg,S. Kalhori,A. Neau,R. Thomas,F. Osterdahl,M. Larsson
Physics , 2003, DOI: 10.1038/nature01498
Abstract: The H3+ molecular ion plays a fundamental role in interstellar chemistry, as it initiates a network of chemical reactions that produce many interstellar molecules. In dense clouds, the H3+ abundance is understood using a simple chemical model, from which observations of H3+ yield valuable estimates of cloud path length, density, and temperature. On the other hand, observations of diffuse clouds have suggested that H3+ is considerably more abundant than expected from the chemical models. However, diffuse cloud models have been hampered by the uncertain values of three key parameters: the rate of H3+ destruction by electrons, the electron fraction, and the cosmic-ray ionisation rate. Here we report a direct experimental measurement of the H3+ destruction rate under nearly interstellar conditions. We also report the observation of H3+ in a diffuse cloud (towards zeta Persei) where the electron fraction is already known. Taken together, these results allow us to derive the value of the third uncertain model parameter: we find that the cosmic-ray ionisation rate in this sightline is forty times faster than previously assumed. If such a high cosmic-ray flux is indeed ubiquitous in diffuse clouds, the discrepancy between chemical models and the previous observations of H3+ can be resolved.
Fuzzy Logic Approach to Predict the Outcome of Tuberculosis Treatment Course Destination
Sharareh R. Niakan Kalhori,Xiao-Jun Zeng
Lecture Notes in Engineering and Computer Science , 2009,
Abstract:
Academic member’s knowledge improvement effect on the results of multiple choice questions in residency exams analysis (2009)
Reza Pourmirza Kalhori,Farah Roshanpour,Mansour Rezaei,Arsalan Naderipour
Behbood , 2011,
Abstract: Background: Multiple choice questions are used for evaluation of learning in promotion residency exams. Due to holding these exams in a standard way, we conducted this study to evaluate the effect of board members, promotion scholarship who designed the questions on these exams results in 2009.Methods: A semi experimental research was designed and 105 exam boards of academic members were studied. The results of promotion exams analysis in 2008 plus a tripartite pamphlet for developing standard exams were sent to all. Quantity data was collected by discrimination index, difficulty level, standard deviation and Reliability of test index (KR20), computer report of health ministry analyzing software, and the quality data by percent of Taxonomy II & III questions and report questions from the secretariat of medical educational salinity. Data was analyzed by Even and independent T test and variance analysis.Results: Data from 11 different academic groups were compared. A statistically significant increase was observed among average of distinction index, exam reliability, percent of questions without structural defects and Taxonomy II & III in 2008 compared to 2009 results (p=0.05). The highest difficulty level was related to questions of urology promotion test 0.54 (p=0.005) and the lowest in psychiatry group 0.69 (p=0.013). The most percent rise in the discrimination index was in the psychiatry group.Conclusions: This study suggested that medical academic members, scholarship promotion increase by using an educational pamphlet and providing feedback of results from previous exams.
A Logistic Regression Model to Predict High Risk Patients to Fail in Tuberculosis Treatment Course Completion
Sharareh R. Niakan Kalhori,Mahshid Nasehi,Xiao-Jun Zeng
IAENG International Journal of Applied Mathematics , 2010,
Abstract:
第1页/共143998条
每页显示


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.