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Objective.To identify the effects of glucocorticoids (GC) on various types of fractures in patients with rheumatoid arthritis (RA).Methods.We used the Korean National Healthcare Claims database from 2010 to establish a retrospective cohort of patients with RA ≥ 19 years old. We then followed those patients through December 2013. The incidence rates of total and major fractures were calculated. We evaluated the effects of GC dose and duration on fractures using multivariable logistic regression analyses. We also examined the influence of GC on fractures in RA patients without a history of osteoporosis.Results.A total of 11,599 fractures was observed in 9964 out of 138,240 patients with RA. During followup, 68.2% of patients used oral GC for > 3 months. Adjusted analysis showed the risk of vertebral fractures was increased by the following characteristics: duration of GC ≥ 6 months (OR 1.76, p < 0.01); mean dose of GC ≥ 2.5 mg (OR range = 1.37–1.71, p < 0.01); and highest daily dose of GC ≥ 10 mg (OR range = 1.23–1.75, p < 0.03). However, neither the duration nor the dose of oral GC increased the risk of hip and nonvertebral/nonhip fractures in patients with RA. Consistent results were observed in RA patients without osteoporosis.Conclusion.Longer duration and higher dose of oral GC in patients with RA increased the risk of vertebral fractures. However, the dose and duration of GC did not influence the risk of hip and nonvertebral/nonhip fractures.

Background: Improvements to prognostic models in metastatic castration-resistant prostate cancer have the potential to augment clinical trial design and guide treatment strategies. In partnership with Project Data Sphere, a not-for-profit initiative allowing data from cancer clinical trials to be shared broadly with researchers, we designed an open-data, crowdsourced, DREAM (Dialogue for Reverse Engineering Assessments and Methods) challenge to not only identify a better prognostic model for prediction of survival in patients with metastatic castration-resistant prostate cancer but also engage a community of international data scientists to study this disease. Methods Data from the comparator arms of four phase 3 clinical trials in first-line metastatic castration-resistant prostate cancer were obtained from Project Data Sphere, comprising 476 patients treated with docetaxel and prednisone from the ASCENT2 trial, 526 patients treated with docetaxel, prednisone, and placebo in the MAINSAIL trial, 598 patients treated with docetaxel, prednisone or prednisolone, and placebo in the VENICE trial, and 470 patients treated with docetaxel and placebo in the ENTHUSE 33 trial. Datasets consisting of more than 150 clinical variables were curated centrally, including demographics, laboratory values, medical history, lesion sites, and previous treatments. Data from ASCENT2, MAINSAIL, and VENICE were released publicly to be used as training data to predict the outcome of interestnamely, overall survival. Clinical data were also released for ENTHUSE 33, but data for outcome variables (overall survival and event status) were hidden from the challenge participants so that ENTHUSE 33 could be used for independent validation. Methods were evaluated using the integrated time-dependent area under the curve (iAUC). The reference model, based on eight clinical variables and a penalised Cox proportional-hazards model, was used to compare method performance. Further validation was done using data from a fifth trialENTHUSE M1in which 266 patients with metastatic castration-resistant prostate cancer were treated with placebo alone. Findings 50 independent methods were developed to predict overall survival and were evaluated through the DREAM challenge. The top performer was based on an ensemble of penalised Cox regression models (ePCR), which uniquely identified predictive interaction effects with immune biomarkers and markers of hepatic and renal function. Overall, ePCR outperformed all other methods (iAUC 0·791; Bayes factor >5) and surpassed the reference model (iAUC 0·743; Bayes factor >20). Both the ePCR model and reference models stratified patients in the ENTHUSE 33 trial into high-risk and low-risk groups with significantly different overall survival (ePCR: hazard ratio 3·32, 95% CI 2·394·62, p, European Union within the ERC grant LatentCauses supported the work of C.F and I.K. German Research Foundation (DFG) within the Collaborative Research Centre 1243, subproject A17 awarded to C.F. German Federal Ministry of Education and Research (BMBF) through the Research Consortium e:AtheroMED (Systems medicine of myocardial infarction and stroke) under the auspices of the e:Med Programme (grant # 01ZX1313C) supported the work of D.P.A., P.D., C.F., C.K., I.K., N.K., M.L., H.S. and J.F.S. at the Institute of Computational Biology. NIH Grants RR025747-01, MH086633 and 1UL1TR001111, and NSF Grants SES-1357666, DMS-14-07655 and BCS0826844 supported the work of C.H., J.I., E.L., Y.W., H.Y., H.Z. and J.Z. NSFC Grant Nos. 61332013, 61572139 supported the work of X.L, Y.L, Y.Z., and S.Z. National Natural Science Foundation of China grants [Nos. 61422309, 61379092] was awarded to S.Z. The Patrick C. Walsh Prostate Research Fund and the Johns Hopkins Individualized Health Initiative supported the work of R.Y.C., D.D., Y.D., Z.J., K.R., Z.W. and Y.Z. FCT Ph.D. Grant SFRH/BD/80925/2011 was awarded to S.C. Clinical Persona Inc., East Palo Alto, CA supported the work of L.B. and D.K. The Finnish Cultural Foundation and the Drug Research Doctoral Programme (DRDP) at the University of Turku supported T.D.L. The National Research Foundation Singapore and the Singapore Ministry of Education, under its Research Centres of Excellence initiative, supported the work of J.G. and K.T. A grant from the Russian Science Foundation 14-24-00155 was awarded to M.D.K. A*MIDEX grant (no. ANR-11-IDEX-0001-02) was awarded to P.J.B. NSERC supported the work of R.G. The Israeli Centers of Research Excellence (I-CORE) program (Center No. 4/11) supported the work of E.G. Academy of Finland (grants 292611, 269862, 272437, 279163, 295504), National Cancer Institute (16X064), and Cancer Society of Finland supported the work of T.A. Academy of Finland (grant 268531) supported the work of T.M

The reliability of CoSi2/p-poly Si electrical fuse (eFUSE) programmed by electromigration for 90nm technology will be presented. Both programmed and unprogrammed fuse elements were shown to be stable through extensive reliability evaluations. A qualification methodology is demonstrated to define an optimized reliable electrical fuse programming window by combining fuse resistance measurements, physical analysis, and functional sensing data. This methodology addresses the impact on electrical fuse reliability caused by process variation and device degradation (e.g., NBTI) in the sensing circuit and allows an adequate margin to ensure electrical fuse reliability over the chip lifetime.

Lateral trench photodetectors (LTD) on silicon-on-insulator (SOI) have been fabricated using a fully CMOS compatible process. High speed (2.0 GHz), high quantum efficiency (51%), and excellent frequency response characteristics have been achieved at 851 nm with a supply voltage of only 3.3 V.

The bis(tertiary-butylamino)silane-based low-pressure chemical vapor deposition (LPCVD) undoped silicate glass and phospho-silicate glass (PSG) processes were investigated to study film composition, etch rate, and step coverage. Through the addition of phosphorous doping, LPCVD PSG processing offers an attractive low temperature option. Enhanced deposition rate for the PSG process enables the lowering of the deposition temperature to the 400–500 °C range, thereby minimizing the thermal cycle and offering compatibility with many back-end-of-line processes. Many properties of these films are similar to those of the tetraethoxysilane (TEOS)-based LPCVD oxide. Differences in the film properties compared with the TEOS-based LPCVD oxide films can be traced to the composition of these films and the reaction mechanism.