76 research outputs found
Localization of cosmic gamma-ray bursts in interplanetary space with MGNS/BepiColombo and HEND/Mars Odyssey experiments
No full textThis paper describes the methods and results for the localization by triangulation of cosmic gamma-ray bursts (GRBs) independently observed by two space experiments: the Mercury Gamma-ray and Neutron Spectrometer (MGNS) and the High Energy Neutron Detector (HEND). MGNS is onboard the MPO/BepiColombo mission and on a stage of cruise to Mercury whereas HEND is onboard Mars Odyssey mission and in orbit around Mars. An analysis is performed of the accuracy of localization of the GRBs jointly observed by the two instruments at interplanetary distances by comparing their light curves. Notable achievements and scientific opportunities are described also in light of the recent inclusion of MGNS within the program of interplanetary network for gamma-ray burst localization (IPN).Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.RST/Luminescence Material
Risks of second primary cancers among 584,965 female and male breast cancer survivors in England: a 25-year retrospective cohort study
No full textBackground: second primary cancers (SPCs) after breast cancer (BC) present an increasing public health burden, with little existing research on socio-demographic, tumour, and treatment effects. We addressed this in the largest BC survivor cohort to date, using a novel linkage of National Disease Registration Service datasets. Methods: the cohort included 581,403 female and 3562 male BC survivors diagnosed between 1995 and 2019. We estimated standardized incidence ratios (SIRs) for combined and site-specific SPCs using incidences for England, overall and by age at BC and socioeconomic status. We estimated incidences and Kaplan–Meier cumulative risks stratified by age at BC, and assessed risk variation by socio-demographic, tumour, and treatment characteristics using Cox regression. Findings: both genders were at elevated contralateral breast (SIR: 2.02 (95% CI: 1.99–2.06) females; 55.4 (35.5–82.4) males) and non-breast (1.10 (1.09–1.11) females, 1.10 (1.00–1.20) males) SPC risks. Non-breast SPC risks were higher for females younger at BC diagnosis (SIR: 1.34 (1.31–1.38) <50 y, 1.07 (1.06–1.09) ≥50 y) and more socioeconomically deprived (SIR: 1.00 (0.98–1.02) least deprived quintile, 1.34 (1.30–1.37) most). Interpretation: Enhanced SPC surveillance may benefit BC survivors, although specific recommendations require more detailed multifactorial risk and cost-benefit analyses. The associations between deprivation and SPC risks could provide clinical management insights. Funding: CRUK Catalyst Award CanGene-CanVar (C61296/A27223). Cancer Research UK grant: PPRPGM-Nov 20∖100,002. This work was supported by core funding from the NIHR Cambridge Biomedical Research Centre (NIHR203312)]. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.</p
Assessment Of Association Between Pain And Root Resorption During Canine Retraction: An Exploratory Study
No full textBackground: Pain and root resorption are common adverse events reported in the orthodontic literature. Both are side effects of the sterile inflammatory tissue reaction related to the application of orthodontic force. Aim: The aim of this exploratory study was to assess the association between pain and root resorption during canine retraction. Materials and Methods: Twenty-four patients indicated for first premolar extraction and canine retraction were recruited. All patients were treated with 0.022” X 0.028” Roth prescription brackets. After leveling and alignment, canines were retracted over 0.017” X 0.025” stainless steel arch wires. Canines were retracted with elastomeric chains applying 150g of force. Root length was measured and resorption was calculated. Measurements were made on the cone beam computer tomograms taken before canine retraction and after 6 months of retraction. The patients were asked to record their pain intensity 24 hours after the replacement of the elastomeric chain. Spearman’s correlation coefficient was calculated for the pain scores and root resorption. Results: The correlation coefficient was very weak (ρ: 0.137, p-value 0.425). Conclusion: Within the limitation of this study, the correlation between pain scores and root resorption was insignificant
Resin Infiltration Versus Acid Micro-Abrasion In The Treatment Of White Spot Lesions In Fixed Orthodontic Patients
No full textBackground: White spot lesions (WSls) are frequently occurring side effects of fixed orthodontic treatment. The lesions may progress to cavities. Their treatment is costly and time-consuming. Icon infiltrant and Opalustre are painless micro-invasive procedures that improve the color of the WSLs. Aim: The aim of this randomized clinical trial was to compare resin infiltration and acid micro-abrasion. Materials and Methods: Twelve patients, with ninety post-orthodontic white spot lesions, were randomly divided into two groups. Icon resin infiltrant was applied in one group and Opalustre acid micro-abrasion in the other. The caries score was measured with ICDAS-II. The patients recorded their satisfaction on a VAS scale. Wilcoxon signed-rank test compared the two groups and the Friedman test compared the outcomes over time. Results: Compared to the pre-treatment, the ICDAS-II scores statistically decreased immediately after treatment, after 3 months, and after 6 months, in both groups. Compared to pre-treatment, the patient satisfaction increased immediately after treatment, after 3 months, and after 6 months, in both groups. Conclusion: Icon and Opalustre improve the color of WSLs. Color is stable over time. Patients are satisfied with the treatment results
2005).“Towards a Semantic Learning Model Fostering Learning Objects Reusability”, ICHSL 2005
No full textWe try in this paper to propose a domain model for both author's and learner's needs concerning learning objects reuse. First of all, we present four key criteria for an efficient authoring tool: adaptive level of granularity, flexibility, integration and interoperability. Secondly, we introduce and describe our six-level Semantic Learning Model (SLM) designed to facilitate multi-level reuse of learning materials and search by defining a multi-layer model for metadata. Finally, after mapping different learning content models with our SLM, we show how our Phoenix authoring tool can deal efficiently with share-and-reuse problem
Readability of Arabic Medicine Information Leaflets: A Machine Learning Approach
No full textAbstractThis paper presents a project that explores the possibility of assessing the readability level of Arabic medicine information leaflets using machine learning techniques. There are a number of popular readability formulas and tools that have been successfully used to assess the readability of health-related information in several languages. However, there is limited work on the readability assessment of health-related information, specifically medicine information leaflets in Arabic. We describe the design of a tool that uses machine learning to assess the readability of medicine information leaflets. We utilize a corpus comprising 1112 medicine information leaflets annotated with three difficulty levels. Based on a study of existing literature, we selected a number of features influencing text difficulty. The tool will help specialized organizations in medicine information leaflets production to produce the leaflets at appropriate level of reading for the majority of leaflets consumers
Erratum to: e-GRASP: an integrated evolutionary and GRASP resource for exploring disease associations
No full text© 2017 The Author(s). This article [1] unfortunately published with an author deleted in the author list. The correct author list is presented above
Canine retraction rate and angulation with 0.017”X0.025” versus 0.016”X0.022” stainless steel arch wire with a power arm
No full textBackground: The dimensions of the arch wire affect its stiffness and the play between the wire and bracket. Canine retraction over stiffer arch wires limits the degree of canine tipping. However, the greater the wire dimensions, the greater the resistance to sliding. Frictional resistance is known to delay tooth movement. Aim: The aim of this controlled clinical trial was to compare canine retraction rate and angulation with 0.017”X0.025” versus 0.016”X0.022” stainless steel arch wire with a power arm. Materials and Methods: Twenty-four Class II malocclusion patients (age 13.8± 2.6 years) participated in this study. The teeth were leveled and aligned. Bilateral maxillary first premolars were extracted. In group A, the canines were retracted over 0.017”X0.025” wires. In group B, they were retracted using 0.016”X0.022” wires with a vertical power arm. The retraction force was 150g generated by elastomeric chains. The canine retraction rate and angulation were measured at the end of six months. The rates in the two groups were compared with the t-test and the angulation with the Mann Whitney test. Results: canine retraction rate was 4.64±1.5 in group A and 5.24±1.45 in group B. The canine angulation was 6.41±5.14 and 6.73±6.0 for group A and B, respectively. Conclusion: No difference was observed in the canine retraction rate or angulation with 0.017”X0.025” versus 0.016”X0.022” stainless steel arch wire with a power arm
Application of Irrigation Water Quality Indices and Multivariate Statistical Techniques for Surface Water Quality Assessments in the Northern Nile Delta, Egypt
No full textUnder sustainable development conditions, the water quality of irrigation systems is a complex issue which involves the combined effects of several surface water management parameters. Therefore, this work aims to enhance the surface water quality assessment and geochemical controlling mechanisms and to assess the validation of surface water networks for irrigation using six Water Quality Indices (WQIs) supported by multivariate modelling techniques, such as Principal Component Regression (PCR), Support Vector Machine Regression (SVMR) and Stepwise Multiple Linear Regression (SMLR). A total of 110 surface water samples from a network of surface water cannels during the summers of 2018 and 2019 were collected for this research and standard analytical techniques were used to measure 21 physical and chemical parameters. The physicochemical properties revealed that the major ions concentrations were reported in the following order: Ca2+ > Na+ > Mg2+ > K+ and alkalinity > SO42− > Cl− > NO3− > F−. The trace elements concentrations were reported in the following order: Fe > Mn > B > Cr > Pb > Ni > Cu > Zn > Cd. The surface water belongs to the Ca2+-Mg2+-HCO3− and Ca2+-Mg2+-Cl−-SO42− water types, under a stress of silicate weathering and reverse ion exchange process. The computation of WQI values across two years revealed that 82% of samples represent a high class and the remaining 18% constitute a medium class of water quality for irrigation use with respect to the Irrigation Water Quality (IWQ) value, while the Sodium Percentage (Na%) values across two years indicated that 96% of samples fell into in a healthy class and 4% fell into in a permissible class for irrigation. In addition, the Sodium Absorption Ratio (SAR), Permeability Index (PI), Kelley Index (KI) and Residual Sodium Carbonate (RSC) values revealed that all surface water samples were appropriate for irrigation use. The PCR and SVMR indicated accurate and robust models that predict the six WQIs in both datasets of the calibration (Cal.) and validation (Val.), with R2 values varying from 0.48 to 0.99. The SMLR presented estimated the six WQIs well, with an R2 value that ranged from 0.66 to 0.99. In conclusion, WQIs and multivariate statistical analyses are effective and applicable for assessing the surface water quality. The PCR, SVMR and SMLR models provided robust and reliable estimates of the different indices and showed the highest R2 and the highest slopes values close to 1.00, as well as minimum values of RMSE in all models
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