95 research outputs found
sj-docx-1-jcn-10.1177_08830738221078683 - Supplemental material for Clinicoradiologic Correlation in 22 Egyptian Children With Megalencephalic Leukoencephalopathy With Subcortical Cysts
No full textSupplemental material, sj-docx-1-jcn-10.1177_08830738221078683 for Clinicoradiologic Correlation in 22 Egyptian Children With Megalencephalic Leukoencephalopathy With Subcortical Cysts by Abdelrahim A. Sadek, Mohammed A. Aladawy, Tarek M. M. Mansour, Mohamed F. Ibrahim, Montaser M. Mohamed, Eman F. Gad, Amr A. Othman, Hosny A. Ahmed, Abdin K. Kasim, Wael M. Wagdy, Mohamed H. T. Hasan and Elsayed Abdelkreem in Journal of Child Neurology</p
sj-docx-2-jcn-10.1177_08830738221078683 - Supplemental material for Clinicoradiologic Correlation in 22 Egyptian Children With Megalencephalic Leukoencephalopathy With Subcortical Cysts
No full textSupplemental material, sj-docx-2-jcn-10.1177_08830738221078683 for Clinicoradiologic Correlation in 22 Egyptian Children With Megalencephalic Leukoencephalopathy With Subcortical Cysts by Abdelrahim A. Sadek, Mohammed A. Aladawy, Tarek M. M. Mansour, Mohamed F. Ibrahim, Montaser M. Mohamed, Eman F. Gad, Amr A. Othman, Hosny A. Ahmed, Abdin K. Kasim, Wael M. Wagdy, Mohamed H. T. Hasan and Elsayed Abdelkreem in Journal of Child Neurology</p
Evaluation of anti-thyroglobulin antibodies and thyroid stimulating hormone level in cases of recurrent early pregnancy loss
No full textBackground: Autoimmune thyroid disease (AITD) is by far the most frequent cause of hypothyroidism in women in reproductive age. The prevalence of hypothyroidism in the general population of reproductive age is 2-3%. The objective of this study was to evaluate maternal anti-thyroglobulin (ATG) concentrations and thyroid stimulating hormone (TSH) level in cases of recurrent miscarriage.Methods: 200 female patients divided into two groups. Group A: 100 female patients with history of recurrent miscarriage. Group B: 100 female patients with at least 2 living children and without history of recurrent early miscarriage. Antithyroglobulin antibodies using chemilumeniscence immunoassay (normal level up to 115 IU/ml) and TSH level using chemilumeniscence immunoassay (normal level 0.350-2 U/ml) were assessed.Results: 8.0% of cases (n = 100) and 2.0% of control group (n = 100) were positive for anti TG antibodies. There was no significant relationship between the presence of anti TG antibodies and RPL (p = 0.052). 19% of cases (n = 100) were positive for TSH level. On the other hand, 14% of control group (n = 100) were positive for TSH level there was no significant relation between recurrent pregnancy loss and TSH, (P = 0.34).Conclusions: Neither TSH nor ATG showed significant difference in cases with recurrent miscarriage
Intrathecal Drug Delivery Systems Survey: Trends in Utilization in Pain Practice [Corrigendum]
No full textAbd-Sayed A, Fiala K, Weisbein J, et al. J Pain Res. 2022;15:1305–1314.
The authors have advised there is an error in the author list on page 1305. The author name “Alaa Abd-Sayed” should read “Alaa Abd-Elsayed”.
The authors apologize for this error
Quantifying secondary particle dose contributions in proton therapy
No full textIn order to create radiotherapy treatment plans for cancer patients, dose calculations need to be done as quickly as possible to get accurate results. However, current dose calculation algorithms take too much time to be deployed effectively. The current in house algorithm of the Medical Physics and Technology Section at the TU Delft, attempts to solve this problem by utilising a deterministic algorithm that has a significant time advantage over Monte Carlo algorithms. However, this comes with the cost of inaccuracy, one of which is that it assumesall dose is deposited locally along the beam path. This is inaccurate as secondary particles created from non-elastic nuclear interactions can deposit their dose far from the beam path due to retaining significant kinetic energy. This thesis attempts to reduce this inaccuracy by mapping and quantifying the secondary particles to assess their contribution in non-local dose deposition. And analysing the relevant particle’s energy and angle distributions to gain insight into the development of the particle's characteristics with depth. Thereafter the relevantparticle’s are then utilised as a source to emulate their production in a primary proton beam at different depths to obtain the relevant 3D dose distributions. The analysis concluded that secondary protons are the most relevant secondary particle as they contribute to 88% of the secondary dose and have a significant range to deposit their dose non locally. By utilising the secondary protons as a source, it was found that the relative error between the integrated depth dose (IDD) of the scored protons and the IDD obtained directly from Monte Carlo simulations is equal to 5.1% in the z-direction and 3.4% in the x and y-direction. The absolute difference was found to be 1.54 × 10−5 Gy which is equal to 0.096% of the total dose and 2.75% of the dose contributed by all secondary particles. The results show that the methodology can produce accurate 3D dose matrices for secondary protons at different depths, which can then be used to improve the accuracy of the in house algorithm by adding the precalculated 3D dose matrices to the algorithmApplied Physic
Mitochondrial DNA Copy Number Variation as a Potential Predictor of Renal Cell Carcinoma
No full textBackground Peripheral blood mitochondrial DNA (mtDNA) copy number alteration has been suggested as a risk factor for several types of cancer. The aim of the present study was to assess the role of peripheral blood mtDNA copy number variation as a noninvasive biomarker in the prediction and early detection of renal cell carcinoma (RCC) in a cohort of Egyptian patients. Methods Quantitative real-time polymerase chain reaction (qPCR) was used to measure peripheral blood mtDNA copy numbers in 57 patients with newly diagnosed, early-stage localized RCC and 60 age- and sex-matched healthy individuals as a control group. Results Median mtDNA copy number was significantly higher in RCC cases than in controls (166 vs. 91, p<0.001). Increased mtDNA copy number was associated with an 18-fold increased risk of RCC (95% confidence interval: 5.065-63.9). On receiver operating characteristic curve analysis, it was found that mtDNA could distinguish between RCC patients and healthy controls, with 86% sensitivity, 80% specificity, 80.3% positive predictive value and 85.7% negative predictive value at a cutoff value of 108.5. Conclusions Our results showed that increased peripheral blood mtDNA copy number was associated with increased risk of RCC. Therefore, RCC might be considered as part of a range of potential tumors in cases with elevated blood mtDNA copy number. </jats:sec
Multi-objective stochastic models for electricity generation expansion planning problems considering risk
No full textThis dissertation is focused on the development of mathematical models to solve electricity generation expansion planning problems where important problem objectives, such as cost, greenhouse gas and pollutant emissions and reliability are explicitly considered under an uncertain environment. Generation expansion planning problems are solved to determine what, when and where to built the new technologies. The main objective of the power grid is to provide an economic and reliable energy supply to consumers. Due to the increasing awareness for clean air and global warming, the power grid should also be designed to be environmental friendly. In this research, an approach is proposed to determine critical components for the grid with regard to reliability, cost and gas emissions, and an optimization approach is proposed to select a set of availability scenarios which represent the stochastic characteristics of the system and to determine the associated probabilities. The problem is formulated as a two stage multi-objective stochastic optimization problem considering the generated scenarios. There are also some other technological developments, called "Smart Grid Technologies" which can affect the grid. The impacts of "Smart Grid Technologies" on the grid are that (i) shift/reduce energy demand, (ii) increase the effective availability of the system components, and (iii) reduce the energy loss during transmission. This research is the first comprehensive attempt to include the Smart Grid technologies, affecting the availabilities and transmission loss, into the generation expansion planning problem. This research also leads to the contributions for developing models where risk aversion is incorporated into the model, improving solution efficiency by extending Benders decomposition and improving solution techniques for multi-objective optimization problems.Ph.D.Includes abstractVitaIncludes bibliographical referencesby Hatice Tekine
Algorithms for On-line Order Batching in an Order-Picking Warehouse
No full textIn manual order picking systems, order pickers walk or ride through a distribution warehouse in order to collect items required by (internal or external) customers. Order batching consists of combining these – indivisible – customer orders into picking orders. With respect to order batching, two problem types can be distinguished: In off-line (static) batching all customer orders are known in advance. In on-line (dynamic) batching customer orders become available dynamically over time. This report considers an on-line order batching problem in which the total completion time of all customer orders arriving within a certain time period has to be minimized. The author shows how heuristic approaches for the off-line order batching can be modified in order to deal with the on-line situation. A competitive analysis shows that every on-line algorithm for this problem is at least 2-competitive. Moreover, this bound is tight if an optimal batching algorithm is used. The proposed algorithms are evaluated in a series of extensive numerical experiments. It is demonstrated that the choice of an appropriate batching method can lead to a substantial reduction of the completion time of a set of customer orders.Warehouse Management, Order Picking, Order Batching, On-line Optimization
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