My Lifes Best Scientific Discoveries. Jorma A Jyrkkanen, Researcher. 2024/04/26

My Life’s Major Scientific Discoveries Jorma A Jyrkkanen, BSc, PDP 2024/04/25 My Lifetime Research Findings:

1. Chlor alkali workers and the town of Squamish BC experienced mercury contamination from the Chlor alkali plants open vats of mercury. https://jorma-jyrkkanen.blogspot.com/2021/05/mercury-testing-on-squamish-chlor.html 2. Lung cancers were statistically significantly elevated in towns in BC that had pulp mills. https://jorma-jyrkkanen.blogspot.com/2021/05/experimental-determination-of-excess.html 3. Ontario Minnesota Pulp and Paper company were liquidating the Ontario boreal forests by fudging regeneration statistics. Chief Forester George Brown shut them down and made them agree to Boreal Forest Clear cut Guidelines and regeneration plans. 4. Vision herbicide, a glyphosate Monsanto product, had 350 ppm of carcinogenic 1,4-dioxane in it and its surfactant polyoxyethyleneamine POEA added to its carcinogenic risk. https://jorma-jyrkkanen.livejournal.com/184872.html 5. Tetrapods probably wouldn’t exist if Boron spallation by cosmic rays didn’t interact with it. It is essential for completion of amphibian life cycles. We would not be here. 6. Mothers milk had carcinogenic residues and about 1/3 were endocrine disruptors putting children at risk of cancer and gender alteration. https://jorma-jyrkkanen.blogspot.com/2021/05/pesticide-carcinogens-in-mothers-breast.html 7. Antibiotics, some common pesticides, covid and spike ruptured or damaged mitochondria increasing risks to the immune system, heart, cancer and neurological system. Cold and intermittent protein shy fasting might boost mitogenesis. https://www.researchgate.net/publication/346505752_Antibiotic_induced_changes_to_mitochondria_result_in_potential_contributions_to_carcinogenesis_heart_pathologies_other_medical_conditions_and_ecosystem_risks https://jorma-jyrkkanen.blogspot.com/2022/03/spike-protein-binding-to-ace2-receptor.html 8. I gave evidence at in International Conference on Genetics, Genetic disorders and Stem Cells in Stockholm in 2018 that there is a pandemic of cancers caused by infectious agents ongoing and mouse mammary tumor virus (MMTV), simian virus 40 (SV40) needed to be added to the list of agents and Epstein Barr virus needs special attention. https://jyrkkanenepigeneticsnews.wordpress.com/2023/12/27/catching-cancer-from-infectious-agents-a-silent-global-pandemic-of-transmissable-cancers-jorma-jyrkkanen-investigator/ 9. Regulatory failure of endocrine disrupting chemicals is a likely contributor to loss of wild type gender frequency. https://jyrkkanenepigeneticsnews.wordpress.com/2023/11/27/your-not-gay-youve-got-endocrine-disruptors-jorma-jyrkkanen-reseacher-2023-11-27/ 10. Epigenetics needs to be included in carcinogen risk assessment and regulation. 11. From 3 Hydroelectric utility Bibliographies I concluded EMF was a probable cancer promoter, caused a form brain cancer and leukemia and contributed to miscarriages. https://jyrkkanenepigeneticsnews.wordpress.com/2019/12/30/emf-and-cancer-analysis-of-bibliographies-of-3-major-utilities/ 12. Water treatment method can create carcinogens in drinking water particularly when halogens are mixed with organics. https://jorma-jyrkkanen.blogspot.com/2024/04/carcinogens-created-by-various-water.html 13. A threat to all life on earth is growing from the proliferation and distribution of military development of pathogens as geopolitical weapons for population control and depletion. https://jyrkkanenepigeneticsnews.wordpress.com/2023/04/24/we-deliberately-spread-aids-in-africa-for-population-control-apartheid-intelligence-officer-confession-story-baffour-ankomah-2023-04-24-analyst-jorma-jyrkkanen-reviewer/ https://jormajyrkkanen.ca/2023/05/29/pentagon-global-biowarfare-program-liz-churchill-2023-05-29-analyst-jorma-jyrkkanen-scientist/ https://jorma-jyrkkanen.blogspot.com/2024/04/h5n1-avian-flu-sitrep-update-60-lethal.html 14. Florida ocean temperature was ~4 F below the Permian-Triassic ocean temperature during Earth’s worst prior greenhouse extinction. https://jyrkkanenconservationbiology.wordpress.com/2023/12/02/florida-ocean-temperature-in-july-2023-is-4-f-short-of-permian-triassic-extinction-temperature-jorma-jyrkkanen-ecologist-2023-12-02/ 15. Methane has crossed a tipping point in 2006. https://jyrkkanenconservationbiology.wordpress.com/2024/01/25/methane-ch4-tipping-point-crossed-2006-jorma-jyrkkanen-ecologist-2024-01-25/ 16. Carcinogen 1,4-dioxane may be injected within the covid mRNA vaccine as a contaminant. https://dasevolutionvongott.wordpress.com/2023/12/12/carcinogens-14-dioxane-and-sv40-in-covid-vaccine-are-probably-present-safety-in-question-2023-12-12-researcher-jorma-jyrkkanen/ 17. Darwins Greatest Omissions. He also couldn’t have known about epigenetics and its potential to pass along environmentally acquired instructions to progeny. https://dasevolutionvongott.wordpress.com/2024/01/17/darwins-greatest-oversight-2024-01-17-jorma-antero-jyrkkanen-bsc-zoology-pdp-education/ Organic evolution is the Creator of Life and us. https://dasevolutionvongott.wordpress.com/2012/04/13/the-general-theory-of-universal-evolution/ The Universe Evolved and The Standard Model is its DNA Proxy. Physical evolution is the Creator of life capable worlds. https://dasevolutionvongott.wordpress.com/2024/02/06/the-standard-model-interacting-with-four-force-operators-are-the-dna-of-universal-physical-evolution-smupedna-jorma-a-jyrkkanen-bsc-pdp-scientist-2024-02-06/ 18. I computed the eigenvectors and principle eigenvalue of Squamish Wintering Bald Eagles to what I think is a close approximation from real data I happily gathered over four years and believe have nailed it. It tells me eagles have evolved a density dependent feedback system of population regulation that leads to growth and a stable age distribution. I Post it because its cool and used my UBC Zoology training beautifully. I think I deserve a PHd for this. Computing Eigenvalues and Eigenvectors for Squamish River Wintering Bald Eagles. Jorma Jyrkkanen, jjyrkkanen76@outlook.com Computing Eigenvalues and Eigenvectors for Squamish River Wintering Bald Eagles. Jorma Jyrkkanen, jjyrkkanen76@outlook.com 3 Dec 2018 Background I fiddled with my 4 years of Squamish Wintering Eagles demographic data and fudged a bit of the model to add males in the Reproduction and got an interesting growth rate, lambda1 and a great Eigenvector or stable age distribution. Here it is. Will play with it until I am happy with data fit and may extend it out to 15-20 years age classes. It’s a dynamic model amenable to gaming based on thousands of field observations. Discussion What I saw from year to year though were what looked like compensatory density dependent adjustments in age specific survival so it flip flopped p due to competition from yr to yr. This fact is not amenable to deterministic Markov models like Leslie UNLESS you ‘game it’ or program in ‘if Sxi > or < Sxi critical-then-change-Sxi+ or-n’ ie compensatory survival feedbacks to other age classes. I urge population biology students to try it and watch amazing responses to population and age structure. I used an online Calculator bandicoot.maths.adelaide page written by Mathew Roughan. Figure 1. Sample Leslie Matrix and Start Population Vector with test age specific reproductive rates for a Female Population based on Hypothetical Statistics to Observe Deterministic Model Responses in Total Population, Age Classes and Growth Rates (Primary Eigenvalue) and proportional age class structure (Eigenvectors).December 3, 2018Created by Jorma A. Jyrkkanen Note. The last three age classes are all adults and there is some presumption of productivity from four year class Bald Eagles ie R4=0.1 Eagles Run 2 with a Working Survivorship Population Vector but discrepancy in observed and model that works. This latter run has a high crash potential (CP) in 8 yrs and a lot of fluctuation. For a more realistic model I have to incorporate my field data. The bottom box has the stable age structure eigenvector and age specific eigenvalues. The latter more realistic run works but stability hangs on a few percentage survivorships of juveniles age classes and only includes 8 Age classes total. Conclusion I concluded that the dynamic nature of feedbacks assures high survival of recruits to replace low adult mortality. Note how with even static Survivorships (Sij diagonals in L) there is an innate generation of wild fluctuations in age-class abundance in the curves at the bottom but I caution that in the field this is difficult to tease apart from random effects of migration linked as it is to weather and food availability. This phenomenon no doubt leads a lot of people to think a population is in trouble when only short-term observations are made and it is not true. Time lags are working to smooth out the age class distributions and real population. You only come to know these statistics as probably true after years of observation. I did 4 with thousands of observations and it was just starting to sink in. Keep in mind that these parameters apply only to the female side of the population. If you add the males it will approximately double. at April 30, 2022 No comments: Email ThisBlogThis!Share to TwitterShare to FacebookShare to Pinterest Labels: Age class structure, Bald Eagles, eigenvalues, eigenvector, Markov process, modelling poopulations, stable age structure I was a herd animal til I had a good look around. The Bulls liked the Lambs best.