[{"id":385,"title":"On the Impossibility of Aggregating Individual Cloud Accretion Rates","sha":"83dcae03f859ebcb8e2e710af0ad1b47","user_id":null,"state":"published","body":"The rate of accretion onto the Milky Way (MW) by an individual cloud (or satellite) can be written as dM/dt = M v / R, where M is the cloud mass, v the cloud velocity toward the MW, and R is the distance from the cloud to the MW. Over the time t = R / v a mass M will accrete. This rate can be evaluated for many accreting objects; in the MW about a dozen high-velocity clouds (HVCs) are currently accreting onto the Galactic disk. This said, one cannot sum these accretion rates to determine the MW total rate of growth. For instance, in a scenario with all clouds having mass M, fixed accretion velocity v, and linearly increasing distances R, 2R, 3R, 4R... we would expect a mass M to accrete every R / v, providing a fixed accretion rate of M v / R. Yet by summing the accretion rates of each cloud we find M v / R times the harmonic series 1 + 1/2 + 1/3 + 1/4... This results in an infinite accretion rate. In practice, for currently known HVC distances, the summed accretion rate overestimates by 50% to 100%. ","created_at":"2017-05-24T01:40:31.529Z","updated_at":"2017-06-04T16:21:08.958Z","zenodo_id":582696,"doi":"https://doi.org/10.5281/zenodo.582696","subject":null,"tags":["astronomy","mathematics"],"vote_count":1,"view_count":1,"score":1.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":144,"title":"String notation for capturing the entire experimental processes of chemistry","sha":"830d1439390f3f6d34a331b7983b403d","user_id":540,"state":"published","body":"A string notation which is inspired by [SMILES](http://pubs.acs.org/doi/abs/10.1021/ci00057a005) notation in chemistry can be devised for capturing entire chemistry experimental and methodological sequences and processes. Laboratory experimental procedures are often described as flowcharts, which are (directed) graphs. There will be small symbols and character sequences which will refer specifically to sampling, instrumentation, modes, and levels, as well as ways of referencing chemical glassware types. Chemical substances can be referred to by any current string format. This kind of notation will be most useful in the context of everyday laboratory work: The scientist will only be using a small group of symbols at a time and these symbols can be used in filenames and experimental metadata to be stored on a computer easily associated with the files created in the course of an experiment. Using the string notation should also dramatically decrease the amount of writing and will be easily searchable. The structure of this notation scheme is starkly different than structured vocabularies (i.e. ontologies): Most of the symbols act as pictograms rather than letters, being easy to learn, transcending language and time boundaries, allowing context. The option to include as much information as the scientist desires is a necessary feature. Extendable to other sciences.","created_at":"2015-04-11T17:32:49.694Z","updated_at":"2015-04-13T17:57:09.549Z","zenodo_id":26808,"doi":"http://dx.doi.org/10.5281/zenodo.16763","subject":null,"tags":["chemistry","information","mathematics","computing","science"],"vote_count":2,"view_count":1,"score":2.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null},{"id":883,"title":"Agrimath - Mathematical Proof of Methods Used in Agricultural Sciences","sha":"42c4bf3373de5ab37f626cffff520163","user_id":null,"state":"published","body":"Scientific publications in peer-reviewed journals represent the backbone of science, because information in this medium ideally passes through a review process and is released for publication after peer review. This increases credibility, as a selection process usually identifies and sorts out faulty work. However, even in retrospect, after the paper has been published, errors can occur that remained unknown or unmentioned in the scientific community.\r\n\r\nThe idea of the project is to mathematically evaluate methods in agricultural science based on classical forms of mathematical proof. Emphasis will be placed on grassland science as the main subject of methodology. The methods used will be mathematically proven and, if necessary, revised after contradiction. Correct techniques should also be named so that further work can be done with them. \r\n\r\nThe goal is a consistent mathematical evaluation of the toolbox of agricultural scientists to give the work additional credibility. The explicit non-goal is to merely showcase authors of papers that use methodologies that are mathematically proven to be inappropriate or biased. Or offending agricultural science projects and their stakeholders.\r\nThe findings will be read primarily by agronomists in an effort to improve methodology.","created_at":"2021-09-26T04:27:34.222Z","updated_at":"2021-10-28T06:04:26.481Z","zenodo_id":5606093,"doi":"https://doi.org/10.5281/zenodo.5606093","subject":null,"tags":["agriculture","grassland sciences","mathematics","proof","paper"],"vote_count":0,"view_count":1,"score":0.1,"deleted":false,"muted":false,"tweeted":true,"attachment_file_name":null,"attachment_content_type":null,"attachment_file_size":null,"attachment_updated_at":null}]