paper-with-me

Papers

Modelling Statistics of Polypeptides in Emissions from Smokers Near Ocean Ridges

2025-06-24 · Ben Intoy, J. W. Halley

We have previously shown in model studies that rapid quenches of systems of monomers interacting to form polymer chains can fix nonequilibrium chemistries which could lead to the origin of life. We suggested that such quenching processes might have occurred at very high rates on early earth, giving an efficient mechanism for natural sorting through enormous numbers of nonequilibrium chemistries from which those most likely to lead to life could be naturally selected. Taking account of kinetic barriers, we found good agreement between laboratory quenching experiments on solutions of amino acids and the resulting model. We also made a preliminary comparison between reported data on polypeptides sampled from emissions from smokers near ocean ridges and our model. However that previous model assumed that the concentrations of all monomeric amino acids in the medium were the same whereas that is not the case in samples taken from ocean smokers. Here we take account of the heterogeneous concentrations of the amino acid monomers in the medium in the analysis of the smoker data and compare the results with the data on polypeptide concentrations found in the samples taken by a submersible in the Marianna Trough. Results are consistent with the hypothesis that smokers were the source of large and extremely diverse number of polypeptides in thermal disequilibrium which could incubate processes leading to life.

📄 PDF Abstract BibTeX arXiv:2506.20052

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Graphical Structural Learning of rs-fMRI data in Heavy Smokers

2024-09-12 · Yiru Gong, Qimin Zhang, Huili Zheng, Zheyan Liu 외

Recent studies revealed structural and functional brain changes in heavy smokers. However, the specific changes in topological brain connections are not well understood. We used Gaussian Undirected Graphs with the graphi…

Quantified Markov Logic Networks

2018-07-03 · Víctor Gutiérrez-Basulto, Jean Christoph Jung, Ondrej Kuzelka

Markov Logic Networks (MLNs) are well-suited for expressing statistics such as "with high probability a smoker knows another smoker" but not for expressing statements such as "there is a smoker who knows most other smoke…

Modelling Global Fossil CO2 Emissions with a Lognormal Distribution: A Climate Policy Tool

2024-03-01 · Faustino Prieto, Catalina B. García-García, Román Salmerón Gómez

Carbon dioxide (CO2) emissions have emerged as a critical issue with profound impacts on the environment, human health, and the global economy. The steady increase in atmospheric CO2 levels, largely due to human activiti…

Environmental Pollution Prediction of NOx by Process Analysis and Predictive Modelling in Natural Gas Turbine Power Plants

2020-11-05 · Alan Rezazadeh

The main objective of this paper is to propose K-Nearest-Neighbor (KNN) algorithm for predicting NOx emissions from natural gas electrical generation turbines. The process of producing electricity is dynamic and rapidly …

BIG-bench Machine Learning

Cement Dust Exposure and Risk of Hyperglycemia and Overweight among Artisans and Residents Close to a Cement Factory in Sokoto, Nigeria

2024-06-29 · T Yahaya, KA Sani, E Oladele, E Yawa 외

The potential health risks of cement dust exposure are increasingly raising concern worldwide as the cement industry expands in response to rising cement demand. This necessitates the need to determine the nature of the …