| 41. |
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| 42. |
- Buelow, P. V., et al.
(författare)
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Optimization of structural form using a genetic algorithm to search associative parametric geometry
- 2010
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Ingår i: Structures and Architecture - Proceedings of the 1st International Conference on Structures and Architecture, ICSA 2010. - : CRC Press. - 9780415492492 ; , s. 715-722
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Konferensbidrag (refereegranskat)abstract
- Different methods using evolutionary computation (EC) have been successfully applied to structural form optimization for many years. A well known limitation of these methods is the computational effort required to analyze significantly large and complex systems. As a result most examples have been limited to simple truss forms or smaller aspects of overall structural systems. This is because the number of variables used to describe the structural geometry limits the size and complexity of problems that can be explored using EC methods. One solution to this limitation is the use of associative parametric models. In recent years use of parametric modeling software has become more widespread in architectural design. Parametric approaches to geometric modeling have the advantage that they are able to describe large, complex systems with very few variables. The reduced number of variables needed to describe geometric systems makes parametric models ideal for use with EC to explore optimal forms. This paper shows examples of how large, complex structural systems can be optimized for basic parameters like weight and number of components by combining a genetic algorithm with a finite element analysis and parametric modeling software. The procedure is outlined with specific applications. Examples show the use of this technique used to explore complex spatial structures. Results are shown with specific documentation of computational effort required.
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| 43. |
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| 44. |
- Christle, David J., et al.
(författare)
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Isolated electron spins in silicon carbide with millisecond coherence times
- 2015
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Ingår i: Nature Materials. - : Nature Publishing Group. - 1476-1122 .- 1476-4660. ; 14:2, s. 160-163
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Tidskriftsartikel (refereegranskat)abstract
- The elimination of defects from SiC has facilitated its move to the forefront of the optoelectronics and power-electronics industries(1). Nonetheless, because certain SiC defects have electronic states with sharp optical and spin transitions, they are increasingly recognized as a platform for quantum information and nanoscale sensing(2-16). Here, we show that individual electron spins in high-purity monocrystalline 4H-SiC can be isolated and coherently controlled. Bound to neutral divacancy defects(2,3), these states exhibit exceptionally long ensemble Hahn-echo spin coherence times, exceeding 1 ms. Coherent control of single spins in a material amenable to advanced growth and microfabrication techniques is an exciting route towards wafer-scale quantum technologies.
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| 45. |
- Clendenen, Tess V., et al.
(författare)
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Breast Cancer Risk Factors and Circulating Anti-Müllerian Hormone Concentration in Healthy Premenopausal Women
- 2021
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Ingår i: Journal of Clinical Endocrinology and Metabolism. - : Oxford University Press. - 0021-972X .- 1945-7197. ; 106:11, s. E4542-E4553
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Tidskriftsartikel (refereegranskat)abstract
- Context: We previously reported that anti-Müllerian hormone (AMH), a marker of ovarian reserve, is positively associated with breast cancer risk, consistent with other studies.Objective: This study assessed whether risk factors for breast cancer are correlates of AMH concentration.Methods: This cross-sectional study included 3831 healthy premenopausal women (aged 21-57, 87% aged 35-49) from 10 cohort studies among the general population.Results: Adjusting for age and cohort, AMH positively associated with age at menarche (P < 0.0001) and parity (P = 0.0008) and inversely associated with hysterectomy/partial oophorectomy (P = 0.0008). Compared with women of normal weight, AMH was lower (relative geometric mean difference 27%, P < 0.0001) among women who were obese. Current oral contraceptive (OC) use and current/former smoking were associated with lower AMH concentration than never use (40% and 12% lower, respectively, P < 0.0001). We observed higher AMH concentrations among women who had had a benign breast biopsy (15% higher, P = 0.03), a surrogate for benign breast disease, an association that has not been reported. In analyses stratified by age (<40 vs ≥40), associations of AMH with body mass index and OCs were similar in younger and older women, while associations with the other factors (menarche, parity, hysterectomy/partial oophorectomy, smoking, and benign breast biopsy) were limited to women ≥40 (P-interaction < 0.05).Conclusion: This is the largest study of AMH and breast cancer risk factors among women from the general population (not presenting with infertility), and it suggests that most associations are limited to women over 40, who are approaching menopause and whose AMH concentration is declining.
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| 46. |
- Clendenen, Tess V., et al.
(författare)
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Breast cancer risk prediction in women aged 35-50 years : impact of including sex hormone concentrations in the Gail model
- 2019
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Ingår i: Breast Cancer Research. - : BioMed Central. - 1465-5411 .- 1465-542X. ; 21
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Tidskriftsartikel (refereegranskat)abstract
- Background: Models that accurately predict risk of breast cancer are needed to help younger women make decisions about when to begin screening. Premenopausal concentrations of circulating anti-Mullerian hormone (AMH), a biomarker of ovarian reserve, and testosterone have been positively associated with breast cancer risk in prospective studies. We assessed whether adding AMH and/or testosterone to the Gail model improves its prediction performance for women aged 35-50.Methods: In a nested case-control study including ten prospective cohorts (1762 invasive cases/1890 matched controls) with pre-diagnostic serum/plasma samples, we estimated relative risks (RR) for the biomarkers and Gail risk factors using conditional logistic regression and random-effects meta-analysis. Absolute risk models were developed using these RR estimates, attributable risk fractions calculated using the distributions of the risk factors in the cases from the consortium, and population-based incidence and mortality rates. The area under the receiver operating characteristic curve (AUC) was used to compare the discriminatory accuracy of the models with and without biomarkers.Results: The AUC for invasive breast cancer including only the Gail risk factor variables was 55.3 (95% CI 53.4, 57.1). The AUC increased moderately with the addition of AMH (AUC 57.6, 95% CI 55.7, 59.5), testosterone (AUC 56.2, 95% CI 54.4, 58.1), or both (AUC 58.1, 95% CI 56.2, 59.9). The largest AUC improvement (4.0) was among women without a family history of breast cancer.Conclusions: AMH and testosterone moderately increase the discriminatory accuracy of the Gail model among women aged 35-50. We observed the largest AUC increase for women without a family history of breast cancer, the group that would benefit most from improved risk prediction because early screening is already recommended for women with a family history.
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| 47. |
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| 48. |
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| 49. |
- Dahl, Christian A. Falk, et al.
(författare)
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A Study of Body Image in Long-Term Breast Cancer Survivors
- 2010
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Ingår i: Cancer. - : Wiley. - 0008-543X .- 1097-0142. ; 116:15, s. 3549-3557
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: In this controlled postdiagnosis study, the authors examined various aspects of body image of breast cancer survivors in cross-sectional and longitudinal designs. METHODS: In 2004 and 2007 the Body Image Scale (BIS) was completed by the same 248 disease-free women who had been treated for stage II and III breast cancer between 1998 and 2002. "Poorer" body image was defined as greater than the 70th percentile (N = 76 women) of the BIS scores in contrast to "better" body image (N = 172 women). Breast cancer survivors were examined clinically in 2004, and their BIS scores were compared with the scores from an age-matched group of women from the general population. RESULTS: In this cross-sectional study, poorer body image in 2004 was associated significantly with modified radical mastectomy, undergoing or planning to undergo breast-reconstructive surgery, a change in clothing, poor physical and mental health, chronic fatigue, and reduced quality of life (QoL). In univariate analyses, most of these factors and manually planned radiotherapy were significant predictors of poorer body image in 2007. In multivariate analyses, manually planned radiotherapy, poor physical QoL and high BIS score in 2004 remained independent predictors of a poorer body image in 2007. Body image ratings were relatively stable from 2004 to 2007. Twenty-one percent of breast cancer survivors reported body image dissatisfaction, similar to the proportion of dissatisfaction in controls. CONCLUSIONS: In this cross-sectional analysis, body image in breast cancer survivors was associated with the types of surgery and radiotherapy and with mental distress, reduced health, and impaired QoL. Body image ratings were relatively stable over time, and the antecedent body image score was a strong predictor of body image at follow-up. Body image in breast cancer survivors differed very little from that in controls.
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