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"Profoundly deafened as an infant, Don Fulk didnt learn his name or go to school until the age of ten. At the age of 18 and a budding superstar on his football and basketball teams he broke his neck and was confined to a bed for eight years.When his family could no longer care for him, he spend nine years in a nursing home where he suffered from abuse and neglect. Yet though life marred by frustration and isolation, Don endured the courage, tenacity and wit"--

AbstractComplex engineering systems (e.g. aeronautic vehicles and automobiles) consist of many different interfacing parts and are subject to numerous requirements and constraints regarding aspects of performance, manufacturability, economics, etc. Their design requires the collaboration between people from various disciplines—each retaining different, but necessary, perspectives of the system under design. Here, perspective is defined as a particular context that a human utilizes to create personally meaningful understanding. The key, then, to developing complex engineering systems lies in accommodating and negotiating different perspectives such that a comprehensive and highly integrated design is achieved. We offer a methodology for performing design that explicitly incorporates the multiplicity and diversity of perspective encountered when developing complex engineering systems. Copyright © 2006 John Wiley & Sons, Ltd.

AIMS/HYPOTHESIS: The aim of this study was to compare the pharmacokinetics of two different concentrations of insulin aspart (B28Asp human insulin) in children aged 3-6 years with type 1 diabetes. METHODS: Young children with type 1 diabetes underwent an open-label, randomised, two-period crossover study in a clinical research facility, 2-6 weeks apart. In random order, diluted (1:5 dilution with saline [154 mmol/l NaCl]; 20 U/ml) or standard strength (100 U/ml) insulin aspart was administered via an insulin pump as a meal bolus and then overnight by closed-loop insulin delivery as determined by a model predictive algorithm. Plasma insulin was measured every 30-60 min from 17:00 hours on day 1 to 8:00 hours on day 2. We measured the time-to-peak insulin concentration (tmax), insulin metabolic clearance rate (MCR(I)) and background insulin concentration (ins(c)) using compartmental modelling. RESULTS: Eleven children (six male; age range 3.75-6.96 years, HbA1c 7.6% ± 1.3% [60 ± 14 mmol/mol], BMI standard deviation score 1.0 ± 0.8, duration of diabetes 2.2 ± 1.0 years, total daily dose 12.9 [10.6-16.5] U, fasting C-peptide concentration 5 [5-17.1] pmol/l; mean ± SD or median [interquartile range]) participated in the study. No differences between standard and diluted insulin were observed in terms of t max (59.2 ± 14.4 vs 61.6 ± 8.7) min for standard vs diluted, p = 0.59; MCR I (1.98 × 10(-2) ± 0.99 × 10(-2) vs 1.89 × 10(-2) ± 0.82 × 10(-2) 1/kg/min, p = 0.47), and ins c (34 [1-72] vs 23 [3-65] pmol/l, p = 0.66). However, t max showed less intersubject variability following administration of diluted aspart (SD 14.4 vs 8.7 min, p = 0.047). CONCLUSIONS/INTERPRETATION: Diluting insulin aspart does not change its pharmacokinetics. However, it may result in less variable absorption and could be used in young children with type 1 diabetes undergoing closed-loop insulin delivery. TRIAL REGISTRATION: Clinicaltrials.gov NCT01557634. FUNDING: FUNDING was provided by the JDRF, 7th Framework Programme of the European Union, Wellcome Trust Strategic Award and the National Institute for Health Research Cambridge Biomedical Research Centre. ; Funding was provided by the JDRF (grant number 22-2011- 668), 7th Framework Programme of the European Union (Spidiman project; grant agreement number 305343), Wellcome Trust Strategic Award (100574/Z/12/Z) and the National Institute for Health Research Cambridge Biomedical Research Centre. ; This is the final published version. It first appeared at http://link.springer.com/article/10.1007%2Fs00125-014-3483-6.

Conception of fail-safe supply networks -- Variation management in a single forward supply chain -- Variation management in pre- and after-sales supply chains of non-repairable products -- Variation management in the product-service supply chains of repairable products -- Variation management in supply networks -- Disruption management using robust design in supply networks -- Structural controllability in managing disruptions in supply networks -- Disruption management: resilience design of structurally controllable supply networks -- Concurrent management of disruptions and variations -- Emerging technologies and extension of the fail-safe framework to other networks

OBJECTIVES: Closed-loop (CL) systems modulate insulin delivery based on glucose levels measured by a continuous glucose monitor (CGM). Accuracy of the CGM affects CL performance and safety. We evaluated the accuracy of the Freestyle Navigator(®) II CGM (Abbott Diabetes Care, Alameda, CA) during three unsupervised, randomized, open-label, crossover home CL studies. MATERIALS AND METHODS: Paired CGM and capillary glucose values (10,597 pairs) were collected from 57 participants with type 1 diabetes (41 adults [mean±SD age, 39±12 years; mean±SD hemoglobin A1c, 7.9±0.8%] recruited at five centers and 16 adolescents [mean±SD age, 15.6±3.6 years; mean±SD hemoglobin A1c, 8.1±0.8%] recruited at two centers). Numerical accuracy was assessed by absolute relative difference (ARD) and International Organization for Standardization (ISO) 15197:2013 15/15% limits, and clinical accuracy was assessed by Clarke error grid analysis. RESULTS: Total duration of sensor use was 2,002 days (48,052 h). Overall sensor accuracy for the capillary glucose range (1.1-27.8 mmol/L) showed mean±SD and median (interquartile range) ARD of 14.2±15.5% and 10.0% (4.5%, 18.4%), respectively. Lowest mean ARD was observed in the hyperglycemic range (9.8±8.8%). Over 95% of pairs were in combined Clarke error grid Zones A and B (A, 80.1%, B, 16.2%). Overall, 70.0% of the sensor readings satisfied ISO criteria. Mean ARD was consistent (12.3%; 95% of the values fall within ±3.7%) and not different between participants (P=0.06) within the euglycemic and hyperglycemic range, when CL is actively modulating insulin delivery. CONCLUSIONS: Consistent accuracy of the CGM within the euglycemic-hyperglycemic range using the Freestyle Navigator II was observed and supports its use in home CL studies. Our results may contribute toward establishing normative CGM performance criteria for unsupervised home use of CL. ; Juvenile Diabetes Research Foundation (#22-2009-802), Diabetes UK (BDA07/0003549) and Seventh Framework Programme of the European Union (Grant Agreement number 247138) with additional support for the Artificial Pancreas work by National Institute of Diabetes and Digestive and Kidney Diseases (1R01DK085621), Wellcome Strategic Award (100574/Z/12/Z), and National Institute for Health Research Cambridge Biomedical Research Centre. ; This is the final version of the article. It first appeared from Mary Ann Liebert via http://dx.doi.org/10.1089/dia.2015.0062