The Astrophysical Journal is a peer-reviewed scientific journal that focuses on astronomy and astrophysics. Established in 1895, it is one of the leading journals in the field and is published by the American Astronomical Society (AAS). The journal publishes original research articles, reviews, and significant findings covering a wide range of topics related to the universe, including stellar and planetary formation, cosmic phenomena, cosmology, and the behavior of celestial objects.
Photo-oxidation of polymers refers to the chemical reactions that occur in polymers due to exposure to light (particularly ultraviolet (UV) light) and oxygen. This process can lead to the degradation of polymer materials, affecting their physical and chemical properties. ### Key Points about Photo-Oxidation of Polymers: 1. **Mechanism**: - Photons provide energy that can excite electrons in polymer chains, leading to the formation of free radicals.
Asymptotic theory in statistics is a framework that involves the behavior of statistical estimators, tests, or other statistical procedures as the sample size approaches infinity. The primary goal of asymptotic theory is to understand how statistical methods perform in large samples, providing insights into their properties, efficiency, and consistency. Key concepts in asymptotic theory include: 1. **Consistency**: An estimator is consistent if it converges in probability to the true parameter value as the sample size increases.
Research in astronomy and astrophysics involves the scientific study of celestial objects, phenomena, and the universe as a whole. It seeks to understand the nature of the cosmos, including the formation, evolution, and ultimate fate of stars, galaxies, planets, and other astronomical entities. Here's an overview of key areas in this field: ### Key Areas of Research 1. **Celestial Objects**: - **Stars**: Study of their formation (stellar evolution), life cycles, and properties.
E. Coli Whole Cell Model by Covert Lab Run variants by 
Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01
Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01It would be boring if we could only simulate the same condition all the time, so let's have a look at the different boundary conditions that we can apply to the cell!
We are able to alter things like the composition of the external medium, and the genome of the bacteria, which will make the bacteria behave differently.
The variant selection is a bit cumbersome as we have to use indexes instead of names, but one you know what you are doing, it is fine.
Of course, genetic modification is limited only to experimentally known protein interactions due to the intractability of computational protein folding and computational chemistry in general, solving those would bsai.
The Edinburgh Multiple Access System (EMAS) is a type of network protocol that was developed to facilitate communication in a multi-user environment, particularly in the context of packet-switched networks. It was designed to allow multiple users to share the same communication channel efficiently. The system is particularly notable for its work in the field of computer networking and was part of the broader exploration of various multiple access techniques during the development of early network systems.
E. Coli Whole Cell Model by Covert Lab Publications by Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01
Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01Unfortunately, due to lack of one page to rule them all, the on-Git tree publication list is meager, some of the most relevant ones seems to be:
- 2021 open access review paper: journals.asm.org/doi/full/10.1128/ecosalplus.ESP-0001-2020 "The E. coli Whole-Cell Modeling Project". They should just past that stuff in a README :-) The article mentions that it is a follow up to the previous M. genitalium whole cell model by Covert lab. Only 43% of known genes modelled at this point however, a shame.
- 2020 under Science paywall: www.science.org/doi/10.1126/science.aav3751 "Simultaneous cross-evaluation of heterogeneous E. coli datasets via mechanistic simulation"
The 20th century saw significant contributions from Italian physicists across various fields of physics, many of whom were instrumental in advancing scientific knowledge and technology. Here are some notable Italian physicists from that era: 1. **Enrico Fermi (1901–1954)**: A key figure in the development of quantum theory, nuclear and particle physics, Fermi is well-known for creating the first nuclear reactor, the Chicago Pile-1, and for his work on beta decay.
E. Coli Whole Cell Model by Covert Lab Output overview by Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01
Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01Run output is placed under
out/:Some of the output data is stored as
.cpickle files. To observe those files, you need the original Python classes, and therefore you have to be inside Docker, from the host it won't work.We can list all the plots that have been produced under Plots are also available in SVG and PDF formats, e.g.:
out/ withfind -name '*.png'The output directory has a hierarchical structure of type:where:
./out/manual/wildtype_000000/000000/generation_000000/000000/wildtype_000000: variant conditions.wildtypeis a human readable label, and000000is an index amongst the possiblewildtypeconditions. For example, we can have different simulations with different nutrients, or different DNA sequences. An example of this is shown at run variants.000000: initial random seed for the initial cell, likely fed to NumPy'snp.random.seedgenereation_000000: this will increase with generations if we simulate multiple cells, which is supported by the model000000: this will presumably contain the cell index within a generation
We also understand that some of the top level directories contain summaries over all cells, e.g. the
massFractionSummary.pdf plot exists at several levels of the hierarchy:./out/manual/plotOut/massFractionSummary.pdf
./out/manual/wildtype_000000/plotOut/massFractionSummary.pdf
./out/manual/wildtype_000000/000000/plotOut/massFractionSummary.pdf
./out/manual/wildtype_000000/000000/generation_000000/000000/plotOut/massFractionSummary.pdfEach of thoes four levels of
plotOut is generated by a different one of the analysis scripts:./out/manual/plotOut: generated bypython runscripts/manual/analysisVariant.py. Contains comparisons of different variant conditions. We confirm this by looking at the results of run variants../out/manual/wildtype_000000/plotOut: generated bypython runscripts/manual/analysisCohort.py --variant_index 0. TODO not sure how to differentiate between two different labels e.g.wildtype_000000andsomethingElse_000000. If-vis not given, a it just picks the first one alphabetically. TODO not sure how to automatically generate all of those plots without inspecting the directories../out/manual/wildtype_000000/000000/plotOut: generated bypython runscripts/manual/analysisMultigen.py --variant_index 0 --seed 0./out/manual/wildtype_000000/000000/generation_000000/000000/plotOut: generated bypython runscripts/manual/analysisSingle.py --variant_index 0 --seed 0 --generation 0 --daughter 0. Contains information about a single specific cell.
The *Publications of the Astronomical Society of Australia* (PASA) is a peer-reviewed academic journal that publishes research in all areas of astronomy and astrophysics. It serves as a platform for scientists to share their findings and advancements in the field. PASA covers a broad range of topics related to astronomy, including observational studies, theoretical research, and advancements in technology and instrumentation used in astronomical research.
E. Coli Whole Cell Model by Covert Lab Other run variants by Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01
Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01Besides time series run variants, conditions can also be selected directly without a time series as in:which select row indices from so
python runscripts/manual/runSim.py --variant condition 1 1reconstruction/ecoli/flat/condition/condition_defs.tsv. The above 1 1 would mean the second line of that file which starts with:"condition" "nutrients" "genotype perturbations" "doubling time (units.min)" "active TFs"
"basal" "minimal" {} 44.0 []
"no_oxygen" "minimal_minus_oxygen" {} 100.0 []
"with_aa" "minimal_plus_amino_acids" {} 25.0 ["CPLX-125", "MONOMER0-162", "CPLX0-7671", "CPLX0-228", "MONOMER0-155"]1 means no_oxygen.Plasma physics encompasses a wide range of phenomena involving ionized gases (plasmas), which are composed of charged particles including ions and electrons. The behavior of plasmas is governed by a set of equations that describe how these charged particles interact with electromagnetic fields and with each other. Here are some fundamental equations and concepts relevant to plasma physics: 1. **Fluid Equations (Magnetohydrodynamics - MHD)**: - **Continuity Equation**: Describes the conservation of mass.
The 20th century saw significant contributions from Indian physicists to various fields of physics, many of whom made their mark both in India and internationally. Here are a few notable Indian physicists from that era: 1. **C. V. Raman (1888–1970)**: He was awarded the Nobel Prize in Physics in 1930 for his discovery of the Raman effect, which is the scattering of light and has applications in various fields including chemistry and material science.
East London Tech City, often referred to as "Silicon Roundabout," is a term used to describe a technology and startup hub primarily located in the London Borough of Hackney, specifically around the Old Street roundabout area. It emerged in the early 2010s as a center for technology, innovation, and entrepreneurship in London, attracting a wide range of tech companies, startups, and creative agencies.
The 20th century was a remarkable period for French physicists, who made significant contributions across various fields of physics. Here are a few notable figures: 1. **Marie Curie (1867-1934)**: Although much of her pioneering work on radioactivity occurred in the late 19th and early 20th centuries, her influence extended well into the 20th century.
Donald Davies was a British computer scientist who is most noted for his work in the field of computer networking and for inventing packet switching. He was born on June 7, 1924, and passed away on May 28, 2009. In the 1960s, he developed the concept of breaking data into smaller packets for transmission over a network, which became a foundational principle for the modern Internet.
E. Coli Whole Cell Model by Covert Lab Install and first run by Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01
Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01At 7e4cc9e57de76752df0f4e32eca95fb653ea64e4 you basically need to use the Docker image on Ubuntu 21.04 due to pip breaking changes... (not their fault). Perhaps pyenv would solve things, but who has the patience for that?!?!
The Docker setup from README does just work. The image download is a bit tedius, as it requires you to create a GitHub API key as described in the README, but there must be reasons for that.
Once the image is downloaded, you really want to run is from the root of the source tree:This mounts the host source under The meaning of each of the analysis commands is described at Section "Output overview".
sudo docker run --name=wcm -it -v "$(pwd):/wcEcoli" docker.pkg.github.com/covertlab/wholecellecolirelease/wcm-full/wcEcoli, so you can easily edit and view output images from your host. Once inside Docker we can compile, run the simulation, and analyze results with:make clean compile &&
python runscripts/manual/runFitter.py &&
python runscripts/manual/runSim.py &&
python runscripts/manual/analysisVariant.py &&
python runscripts/manual/analysisCohort.py &&
python runscripts/manual/analysisMultigen.py &&
python runscripts/manual/analysisSingle.pyAs a Docker refresher, after you stop the container, e.g. by restarting your computer or running
sudo docker stop wcm, you can get back into it with:sudo docker start wcm
sudo docker run -it wcm bashrunscripts/manual/runFitter.py takes about 15 minutes, and it generates files such as reconstruction/ecoli/dataclasses/process/two_component_system.py (related) which is required to run the simulation, it is basically a part of the build.runSim.py does the main simulation, progress output contains lines of type:Time (s) Dry mass Dry mass Protein RNA Small mol Expected
(fg) fold change fold change fold change fold change fold change
======== ======== =========== =========== =========== =========== ===========
0.00 403.09 1.000 1.000 1.000 1.000 1.000
0.20 403.18 1.000 1.000 1.000 1.000 1.000 2569.18 783.09 1.943 1.910 2.005 1.950 1.963
Simulation finished:
- Length: 0:42:49
- Runtime: 0:09:13 E. Coli Whole Cell Model by Covert Lab Condition by Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01
Ciro Santilli 37 Updated 2025-07-01 +Created 1970-01-01reconstruction/ecoli/flat/condition/nutrient/minimal.tsvcontains the nutrients in a minimal environment in which the cell survives:If we compare that to"molecule id" "lower bound (units.mmol / units.g / units.h)" "upper bound (units.mmol / units.g / units.h)" "ADP[c]" 3.15 3.15 "PI[c]" 3.15 3.15 "PROTON[c]" 3.15 3.15 "GLC[p]" NaN 20 "OXYGEN-MOLECULE[p]" NaN NaN "AMMONIUM[c]" NaN NaN "PI[p]" NaN NaN "K+[p]" NaN NaN "SULFATE[p]" NaN NaN "FE+2[p]" NaN NaN "CA+2[p]" NaN NaN "CL-[p]" NaN NaN "CO+2[p]" NaN NaN "MG+2[p]" NaN NaN "MN+2[p]" NaN NaN "NI+2[p]" NaN NaN "ZN+2[p]" NaN NaN "WATER[p]" NaN NaN "CARBON-DIOXIDE[p]" NaN NaN "CPD0-1958[p]" NaN NaN "L-SELENOCYSTEINE[c]" NaN NaN "GLC-D-LACTONE[c]" NaN NaN "CYTOSINE[c]" NaN NaNreconstruction/ecoli/flat/condition/nutrient/minimal_plus_amino_acids.tsv, we see that it adds the 20 amino acids on top of the minimal condition:so we guess that"L-ALPHA-ALANINE[p]" NaN NaN "ARG[p]" NaN NaN "ASN[p]" NaN NaN "L-ASPARTATE[p]" NaN NaN "CYS[p]" NaN NaN "GLT[p]" NaN NaN "GLN[p]" NaN NaN "GLY[p]" NaN NaN "HIS[p]" NaN NaN "ILE[p]" NaN NaN "LEU[p]" NaN NaN "LYS[p]" NaN NaN "MET[p]" NaN NaN "PHE[p]" NaN NaN "PRO[p]" NaN NaN "SER[p]" NaN NaN "THR[p]" NaN NaN "TRP[p]" NaN NaN "TYR[p]" NaN NaN "L-SELENOCYSTEINE[c]" NaN NaN "VAL[p]" NaN NaNNaNin theupper moundlikely means infinite.We can try to understand the less obvious ones:ADP: TODOPI: TODOPROTON[c]: presumably a measure of pHGLC[p]: glucose, this can be seen by comparingminimal.tsvwithminimal_no_glucose.tsvAMMONIUM: ammonium. This appears to be the primary source of nitrogen atoms for producing amino acids.CYTOSINE[c]: hmmm, why is external cytosine needed? Weird.
reconstruction/ecoli/flat/reconstruction/ecoli/flat/condition/timeseries/contains sequences of conditions for each time. For example:reconstruction/ecoli/flat/reconstruction/ecoli/flat/condition/timeseries/000000_basal.tsvcontains:which means just using"time (units.s)" "nutrients" 0 "minimal"reconstruction/ecoli/flat/condition/nutrient/minimal.tsvuntil infinity. That is the default one used byrunSim.py, as can be seen from./out/manual/wildtype_000000/000000/generation_000000/000000/simOut/Environment/attributes/nutrientTimeSeriesLabelwhich contains just000000_basal.reconstruction/ecoli/flat/reconstruction/ecoli/flat/condition/timeseries/000001_cut_glucose.tsvis more interesting and contains:so we see that this will shift the conditions half-way to a condition that will eventually kill the bacteria because it will run out of glucose and thus energy!"time (units.s)" "nutrients" 0 "minimal" 1200 "minimal_no_glucose"
Timeseries can be selected with--variant nutrientTimeSeries X Y, see also: run variants.We can use that variant with:VARIANT="condition" FIRST_VARIANT_INDEX=1 LAST_VARIANT_INDEX=1 python runscripts/manual/runSim.pyreconstruction/ecoli/flat/condition/condition_defs.tsvcontains lines of form:"condition" "nutrients" "genotype perturbations" "doubling time (units.min)" "active TFs" "basal" "minimal" {} 44.0 [] "no_oxygen" "minimal_minus_oxygen" {} 100.0 [] "with_aa" "minimal_plus_amino_acids" {} 25.0 ["CPLX-125", "MONOMER0-162", "CPLX0-7671", "CPLX0-228", "MONOMER0-155"]conditionrefers to entries inreconstruction/ecoli/flat/condition/condition_defs.tsvnutrientsrefers to entries underreconstruction/ecoli/flat/condition/nutrient/, e.g.reconstruction/ecoli/flat/condition/nutrient/minimal.tsvorreconstruction/ecoli/flat/condition/nutrient/minimal_plus_amino_acids.tsvgenotype perturbations: there aren't any in the file, but this suggests that genotype modifications can also be incorporated heredoubling time: TODO experimental data? Because this should be a simulation output, right? Or do they cheat and fix doubling by time?active TFs: this suggests that they are cheating transcription factors here, as those would ideally be functions of other more basic inputs
Pinned article: ourbigbook/introduction-to-the-ourbigbook-project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
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This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
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Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.
Figure 3. Visual Studio Code extension installation.
Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. 
- Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
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