Publications by authors named "Mikel Gomes"
Article Synopsis
- - The study explored how awareness of hypoglycemia affects the real-time symptoms reported by adults with insulin-treated type 1 (T1D) and type 2 diabetes (T2D) using a smartphone app called Hypo-METRICS.
- - Among the 531 participants, those with impaired awareness of hypoglycemia (IAH) were less likely to report certain symptoms compared to those with normal awareness, especially at lower glucose levels.
- - The findings suggest that the Hypo-METRICS app effectively captures differences in hypoglycemia symptoms based on awareness levels, making it a potentially valuable tool for both research and clinical practices.
Article Synopsis
- The study investigates whether the traditional measurement of nocturnal hypoglycemia (00:00-06:00) accurately captures hypoglycemic episodes in adults with type 1 (T1D) or insulin-treated type 2 diabetes (T2D) by comparing it to actual sleep patterns.
- Participants used continuous glucose monitors and activity trackers to record episodes of hypoglycemia over 10 weeks, revealing that rates of hypoglycemia during actual sleep were higher than those measured during the standard clock-based hours.
- The findings suggest that using a fixed overnight time frame may underestimate the incidence of hypoglycemia while asleep, and future research should incorporate sleep tracking technology for more accurate assessments.
Article Synopsis
- The study evaluated the Hypo-METRICS app, designed to measure the effects of hypoglycemia on daily life in individuals with insulin-treated diabetes.
- Over 10 weeks, 100 participants completed daily check-ins to report on various aspects of their daily functioning, including mood and cognition.
- Results showed high completion rates and strong psychometric properties, confirming that the app is a reliable and valid tool for understanding the impact of hypoglycemia on patients' lives.
Characterization of electroosmotic flow through nanoporous self-assembled arrays.
Electrophoresis
August 2015
Characterization of EOF mobility for Tris and TBE buffer solutions is performed in nanoporous arrays using the fluorescent marker method to examine the magnitude of EOFs through nanopores with mean diameters close to electric double layer thickness (Debye length). Structures made from solid silica nanospheres with effective pore sizes from 104 nm down to 8 nm are produced within the microchannel using an evaporation self-assembly method. EOF results in nanoporous matrices show higher EOF mobilities for stronger electrolyte solutions, which are drastically different compared to microchannel EOF.
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