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Insecticide Resistance In Mosquitoes
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WIP based on Lecture 4 and 11 of Uri Alon's 2024-5 course on Systems Aging repeated in 2025-6 System biology of aging and longevity 
Systems Aging Longevity genes and evolution
2 months ago
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Components of behaviour organised into domains, from NIMH Research Domain Criteria website and BMC paper and 2013 series on current controversies in psychiatry.
Functional dimensions of behavior
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Radioaktiver Zerfall nach Beispiel des exponentiellen Zerfall-Modells von Gene Bellinger
Radioaktiver Zerfall
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Abstract
High altitude environments challenge the physiology of mammals mainly due to hypoxic conditions. As a response to this, many mammals show molecular adaptations e.g. by mutations in the genes encoding the hemoglobins. This can result in an increase O2 affinity (and thereby a leftshifted O2 dissociation curve) which will enhance the pulmonary loading of O2. However, the shift can also hamper the O2 unloading process to the metabolic tissue. To elucidate this trade-off between loading and unloading a numerical computer model was made in the program Insigt maker based on the organism, deer mouse (Peromyscus maniculatus). The numerical solution was calculated by the Runge-Kutta method. A time step (dt) of 0.00001 was chosen, as the results were independent of dt at this value. This was tested by investigating the residual values of an interval of dt around 0.00001. The model showed how the trade-off is expressed at different altitudes and how the degree of advantages/disadvantages varies. Based on the model it can be suggested that the trade-off is beneficial, when the hypoxia is severe at high altitude. This is consistent with previously findings. 

 

Model af O2 transport under hypoxi
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Tipos de Mutaciones
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Summary of the Bumpus 2025 paper and 2024 video Wilmer Leal - Towards a Unified Theory of Time-Varying Data using Gene Bellinger's gemini prompts in a Jan2026 interaction. Paper featured in Nate Osgood's 2025 usask course on Sheaves and Applied Category THeory
Unifying time varying data
4 months ago
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The following is a cross between the Lotka-Volterra Predator-Prey model from the Insight Maker manual  (https://insightmaker.com/node/3801) where the Moose represent problem symptoms, the Wolves represent temporary solution, and the addiction loop from Gene Bellinger's Addiction Archetype (https://insightmaker.com/insight/25461/Addiction-Archetype) is added.
Lotka–Volterra Addiction Model
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Summary of evolution and the modern synthesis with genetics. See also the more recent extended synthesis IM-2099
Evolution
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Coping but not coping in health and social care: masking the reality of running organisations beyond safe design capacity. From Eric Wolstenholme Syst. Dyn. Rev. 23, 371–389, (2007) abstract. See also IM-1010 for unfolding CLD version. This is a cascade of swamping structures see gene's insight with video link
Coping but not coping stock flow 2007
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​This working Simulation outlines the current impact the Koala population is undergoing to certain disease, enironmental impacts and human redevelopment and involvement, and then the actions which will need to be taken if the current trend is to improve. 

In the study we used a control group of 1000 individuals with a better then average birth to death ratio so the population with no outside influences or negative impacts would gradually grow. Then we introduced the current major dangers to the Koala with the current statistic trend of a 10% decline in population every year over a 20 year period. With this we then introduced measures and plans to reverse this trend and put the Koala population back on track. Of course figures are only speculative however there is a marked improvement over the 20 year period for the small koala population. 
Amber M N8840105
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Assignment 1 (Final)
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WIP for planning  some relevant online M&S Learning Communities for Health
Online Health Modelling and Simulation Communities
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System Model 5
3 months ago
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copied from: Gene Bellinger (Success to the Successful Archetype | Insight Maker)

Success to the successful archetype represents two reinforcing structures which may be in a delicate balance though as soon as one gains a small advantage the resource allocation favors the more successful and the result is then rapidly skewed in the direction of the more successful. See also Archetypes.
Success to the Successful Archetype
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The three common recurring structures.
@LinkedInTwitterYouTube
Three Basic Growth Structures - from Phoenix Project (Gene Bellinger)
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Based on Gene's Enabling a Better Tomorrow Map IM-2879 this is a Specific Health Care version based on the archived Systemswiki Health Care material. The focus is on Models and Simulation . I am following Gene's  Adventures in Wonderland framework. Advanced WIP in IM-57331
Health Application Areas Map
6 months ago
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Model is created by Gene Bellinger. Original model can be accessed from https://insightmaker.com/insight/2249/Adjusting-the-Shower-SFD.

The delays associated with adjusting the shower is a very common example of the Balancing Loop with Delay Systems Archetype.
Adjusting the Shower/SFD
29 6 months ago
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system modeling 4
3 months ago
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From the Plausibility of life book esp p 220-227  Constraints that deconstrain

Facilitated Variation and Evolvability
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Avian Botulism Causal Web
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Regulación de la expresión en múltiples niveles de un gen hipotético de oxidoreductasa. Parametros; H2O2: moleculas iniciales de H2O2; Tasa Oxidativa: velocidad a la que la celula produce nuevo H2O2, Mutación TR1 y ProtS: Activa las mutaciones en estos genes (ver panel de información); miARN: activa la regulación por miARNs.
Proyecto Molecular
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CIVE: Final Project Draft 1
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​From Fig 1.1 p11  Pigliucci M and Muller GB (2010) Evolution: The Extended Synthesis. This is a shift in emphasis from statistical correlation to mechanistic causation (p12), including the conditions for the origin and innovation of traits (p13). It overcomes the gradualism, externalism and gene centrism of the Modern Synthesis. Non-gradual change is a property of complex dynamical systems. EvoDevo processes generate particular forms of change rather than others.Genes are followers in the evolutionary process that capture the emergent interactions among environment, development and inheritance into genetic-epigenetic circuits, which are passed to and elaborated on in subsequent generations (p14).

Evolution extended synthesis