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Explore What Others Are Building

Here is a sample of public Insights made by Insight Maker users. This list is auto-generated and updated daily.

The UC Davis study gives yields for California, but the yields in Ontario are much less due to the less favourable growing conditions and season length (source:https://www.ontario.ca/page/dayneutral-strawberries). The revenue streams are different for the June-bearing and day-neutral strawberries de
SUST1001U
The UC Davis study gives yields for California, but the yields in Ontario are much less due to the less favourable growing conditions and season length (source:https://www.ontario.ca/page/dayneutral-strawberries). The revenue streams are different for the June-bearing and day-neutral strawberries depending on how many acres of each we have due to seasonal and off-season price differences and different yearly yields. The startup cost is the sum of the equipment, irrigation, and plant establishment costs, all of which depend on acres and set rates from the UC Davis study or the "Ontario Berry Crops Establishment and Production Costs 2022 Economic Report". The yearly expenses are labour costs, water cost, and fuel cost, which all depend on the number of acres and price rates for these aspects of the farm.
Organic Strawberry Farm Model
Matthias Baird
2 weeks ago
Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982  combined with  IM-17598  and  IM-9773
Complexity Health Care Platform Methods Hybrid ABM Decision Making EHealth Technology Systems Engineering Forrester Data Science
Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773
Complex Decision Technologies
Geoff McDonnell
31
Dibuat sebagai tugas matakuliah Metode Penyelesaian Masalah dan Pemodelan MTI UGM 2024. Model di-clone dari dengan beberapa penyesuaian terkait ketersediaan data dan variabel yang digunakan.
Dibuat sebagai tugas matakuliah Metode Penyelesaian Masalah dan Pemodelan MTI UGM 2024. Model di-clone dari dengan beberapa penyesuaian terkait ketersediaan data dan variabel yang digunakan.
Unconstrained Growth Populasi Kota Magelang
Satrio Rizki Dharma
5 days ago
This is a food chain of BIOTIC factors. They are animals or plants that have been alive or are alive. Dead rodents or bacteria are both biotic factors. Food webs are 100% consisted of biotic factors.
FOOD WEB
This is a food chain of BIOTIC factors. They are animals or plants that have been alive or are alive. Dead rodents or bacteria are both biotic factors. Food webs are 100% consisted of biotic factors.
Mountain Food Web
Ben Janke
Investigations into the relationships responsible for the success and failure of nations. This investigation was prompted after reading numerous references on the subject and perceiving that *Why Nations Fail: The Origins of Power, Prosperity, and Poverty* by Acemoglu and Robinson seem to make a gre
Society Roam Economics History Nations Fail Politics
Investigations into the relationships responsible for the success and failure of nations. This investigation was prompted after reading numerous references on the subject and perceiving that *Why Nations Fail: The Origins of Power, Prosperity, and Poverty* by Acemoglu and Robinson seem to make a great deal of sense.
Why Nations Fail
Gene Bellinger
13
Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19. With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease. We start with an SIR model, such as that featured in the MAA model featured
Mat375 SIR Math Modeling COVID-19 Coronavirus SIRD
Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in

Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-4, we reproduce their figure

With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.

Resources:
Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death
Andrew E Long
40