Browsing by Author "Crespo, Fernando A."
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- ItemA MECHANISM FOR EFFICIENT AND FAIR NIMBY LOCATION(UNIV NAC COLOMBIA, FAC NAC MINAS, 2009) Crespo, Fernando A.; Paredes, Ricardo D.Whilst NIMBY (Not In My BackYard) are facilities necessary to society, are rejected for communities that host them. Thus, in contexts where bad compensation mechanisms exist, communities do not reveal the cost of hosting and social evaluation is severely limited. That explains why NIMBYs are finally located in base of corporate pressures, without technical criteria and with bias against the poorest localities. We propose decentralized mechanism to locate a NIMBY that I efficient (the NIMBY goes to the lowest cost location), and fair (all communities, including the host, are not worse off). The mechanism has balanced budget, and it fulfill the conditions of individual rationality.
- ItemOscillatory pattern of glycemic control in patients with diabetes mellitus(2021) Vasquez-Munoz, Manuel; Arce-Alvarez, Alexis; von Igel, Magdalena; Veliz, Carlos; Ruiz-Esquide, Gonzalo; Ramirez-Campillo, Rodrigo; Alvarez, Cristian; Ramirez-Velez, Robinson; Crespo, Fernando A.; Izquierdo, Mikel; Del Rio, Rodrigo; Andrade, David C.Daily glucose variability is higher in diabetic mellitus (DM) patients which has been related to the severity of the disease. However, it is unclear whether glycemic variability displays a specific pattern oscillation or if it is completely random. Thus, to determine glycemic variability pattern, we measured and analyzed continuous glucose monitoring (CGM) data, in control subjects and patients with DM type-1 (T1D). CGM data was assessed for 6 days (day: 08:00-20:00-h; and night: 20:00-08:00-h). Participants (n =172; age =18-80 years) were assigned to T1D (n =144, females = 65) and Control (i.e., healthy; n = 28, females = 22) groups. Anthropometry, pharmacologic treatments, glycosylated hemoglobin (HbA1c) and years of evolution were determined. T1D females displayed a higher glycemia at 10:00-14:00-h vs. T1D males and Control females. DM patients displays mainly stationary oscillations (deterministic), with circadian rhythm characteristics. The glycemia oscillated between 2 and 6 days. The predictive model of glycemia showed that it is possible to predict hyper and hypoglycemia (R-2 =0.94 and 0.98, respectively) in DM patients independent of their etiology. Our data showed that glycemic variability had a specific oscillation pattern with circadian characteristics, with episodes of hypoglycemia and hyperglycemia at day phases, which could help therapeutic action for this population.