This document describes a classroom activity to model how the body regulates blood glucose levels. Students are assigned roles representing the pancreas, insulin, glucagon, and glycogen storage. Playing cards represent glucose, insulin, and glucagon. By adding or removing glucose cards and having students use the insulin and glucagon cards, the activity simulates how blood glucose is regulated after eating, during exercise, and in Type 1 diabetes where insulin is not produced.
Tournée Michelle Blanc : Découvrez les meilleurs outils pour transformer vos ...Michelle Blanc
Avec sa conférence Découvrez les meilleurs outils pour transformer vos dépenses Web en revenus, Michelle Blanc utilisera son franc-parler et son talent de narratrice pour faire comprendre l’importance des médias sociaux dans le monde des affaires. Elle livrera ses meilleurs trucs pour transformer des dépenses en revenus.
En complémentarité avec cette conférence principale, les participants auront droit à deux ateliers pratico-pratiques sur les relations de presse dans les médias sociaux et sur les façons de mesurer son rendement.
Curso Seguridad física y criptografía: PGP - cifrado asimétrico.
Dictado en la Universidad Simón Bolívar -USB, Lima - Perú, ciclos 2011-2 (agosto/2011) y 2015-1 (marzo/2015).
Tournée Michelle Blanc : Découvrez les meilleurs outils pour transformer vos ...Michelle Blanc
Avec sa conférence Découvrez les meilleurs outils pour transformer vos dépenses Web en revenus, Michelle Blanc utilisera son franc-parler et son talent de narratrice pour faire comprendre l’importance des médias sociaux dans le monde des affaires. Elle livrera ses meilleurs trucs pour transformer des dépenses en revenus.
En complémentarité avec cette conférence principale, les participants auront droit à deux ateliers pratico-pratiques sur les relations de presse dans les médias sociaux et sur les façons de mesurer son rendement.
Curso Seguridad física y criptografía: PGP - cifrado asimétrico.
Dictado en la Universidad Simón Bolívar -USB, Lima - Perú, ciclos 2011-2 (agosto/2011) y 2015-1 (marzo/2015).
A Mathematical Model of Glucose - Insulin regulation under the influence of e...inventionjournals
Here, we present a mathematical model for glucose- insulin regulatory system. The glucose–insulin regulatory system has been introduced with a new variable which is ingested glucose. The ingested glucose is the external source of glucose that is coming from source of food and assumed to follow the logistic growth model. With the introduction of ingested glucose, a three variable model is established. Stability of the model has been analyzed under various equilibrium conditions. Numerical simulations are used to validate and describe the stability of the proposed model.
Audio file for this test:
http://www.fileswap.com/dl/3ot03GLZC/test_2_recording.mp3.html
Contact me for more REAL tests:
http://www.facebook.com/JoeJoeCalderone
Mathematical Model for Drug Therapy in Patients With Diabetes MellitusIJESM JOURNAL
This study presents a new mathematical model for Drug Therapy in Patients with Diabetes
Mellitus which includes external rate at which blood glucose, insulin and epinephrine is being
increased in the form, ( , , ) ( )
.
Y f g h e r t i i . The system has been analyzed and solved to provide
the systems natural frequency, ω0, which is the basic descriptor of saturation level of the drug.
We establish that the resonance period for the final model, that is, T0=3.76912 hrs, agrees well
with the data for the existing insulin therapy, showing that the peak, which is the time period for
insulin to be most effective in lowering blood sugar, is in the acceptable therapeutic range.
Mathematics Subject Classification: Primary 93A30; Secondary 91B74, 93C15, 92C50, 92C42
Newborn Care was written for healthcare workers providing special care for newborn infants in level 2 hospitals. It covers: resuscitation at birth, assessing infant size and gestational age, routine care and feeding of both normal and high-risk infants, the prevention, diagnosis and management of hypothermia, hypoglycaemia, jaundice, respiratory distress, infection, trauma, bleeding and congenital abnormalities, communication with parents
Diabetes prediction based on discrete and continuous mean amplitude of glycem...journalBEEI
Chronic hyperglycemia and acute glucose fluctuations are the two main factors that trigger complications in diabetes mellitus (DM). Continuous and sustainable observation of these factors is significant to be done to reduce the potential of cardiovascular problems in the future by minimizing the occurrence of glycemic variability (GV). At present, observations on GV are based on the mean amplitude of glycemic excursion (MAGE), which is measured based on continuous blood glucose data from patients using particular devices. This study aims to calculate the value of MAGE based on discrete blood glucose observations from 43 volunteer patients to predict the diabetes status of patients. Experiments were carried out by calculating MAGE values from original discrete data and continuous data obtained using Spline Interpolation. This study utilizes the machine learning algorithm, especially k-Nearest Neighbor with dynamic time wrapping (DTW) to measure the distance between time series data. From the classification test, discrete data and continuous data from the interpolation results show precisely the same accuracy value that is equal to 92.85%. Furthermore, there are variations in the MAGE value for each patient where the diabetes class has the most significant difference, followed by the pre-diabetes class, and the typical class.
Slides Lezing Dr. Ir. Ben van Ommen TNO leefstijlcongresWim Tilburgs
Slides van de lezing van Dr. Ir. Ben van Ommen tijdens het eerste jaarlijkse leefstijlcongres georganiseerd door TNO en het Leids Universitair Medisch Centrum LUMC
A Mathematical Model of Glucose - Insulin regulation under the influence of e...inventionjournals
Here, we present a mathematical model for glucose- insulin regulatory system. The glucose–insulin regulatory system has been introduced with a new variable which is ingested glucose. The ingested glucose is the external source of glucose that is coming from source of food and assumed to follow the logistic growth model. With the introduction of ingested glucose, a three variable model is established. Stability of the model has been analyzed under various equilibrium conditions. Numerical simulations are used to validate and describe the stability of the proposed model.
Audio file for this test:
http://www.fileswap.com/dl/3ot03GLZC/test_2_recording.mp3.html
Contact me for more REAL tests:
http://www.facebook.com/JoeJoeCalderone
Mathematical Model for Drug Therapy in Patients With Diabetes MellitusIJESM JOURNAL
This study presents a new mathematical model for Drug Therapy in Patients with Diabetes
Mellitus which includes external rate at which blood glucose, insulin and epinephrine is being
increased in the form, ( , , ) ( )
.
Y f g h e r t i i . The system has been analyzed and solved to provide
the systems natural frequency, ω0, which is the basic descriptor of saturation level of the drug.
We establish that the resonance period for the final model, that is, T0=3.76912 hrs, agrees well
with the data for the existing insulin therapy, showing that the peak, which is the time period for
insulin to be most effective in lowering blood sugar, is in the acceptable therapeutic range.
Mathematics Subject Classification: Primary 93A30; Secondary 91B74, 93C15, 92C50, 92C42
Newborn Care was written for healthcare workers providing special care for newborn infants in level 2 hospitals. It covers: resuscitation at birth, assessing infant size and gestational age, routine care and feeding of both normal and high-risk infants, the prevention, diagnosis and management of hypothermia, hypoglycaemia, jaundice, respiratory distress, infection, trauma, bleeding and congenital abnormalities, communication with parents
Diabetes prediction based on discrete and continuous mean amplitude of glycem...journalBEEI
Chronic hyperglycemia and acute glucose fluctuations are the two main factors that trigger complications in diabetes mellitus (DM). Continuous and sustainable observation of these factors is significant to be done to reduce the potential of cardiovascular problems in the future by minimizing the occurrence of glycemic variability (GV). At present, observations on GV are based on the mean amplitude of glycemic excursion (MAGE), which is measured based on continuous blood glucose data from patients using particular devices. This study aims to calculate the value of MAGE based on discrete blood glucose observations from 43 volunteer patients to predict the diabetes status of patients. Experiments were carried out by calculating MAGE values from original discrete data and continuous data obtained using Spline Interpolation. This study utilizes the machine learning algorithm, especially k-Nearest Neighbor with dynamic time wrapping (DTW) to measure the distance between time series data. From the classification test, discrete data and continuous data from the interpolation results show precisely the same accuracy value that is equal to 92.85%. Furthermore, there are variations in the MAGE value for each patient where the diabetes class has the most significant difference, followed by the pre-diabetes class, and the typical class.
Slides Lezing Dr. Ir. Ben van Ommen TNO leefstijlcongresWim Tilburgs
Slides van de lezing van Dr. Ir. Ben van Ommen tijdens het eerste jaarlijkse leefstijlcongres georganiseerd door TNO en het Leids Universitair Medisch Centrum LUMC