Entropy MDPI’s Post

After nearly 3 years, the first manuscript from my PhD finally made it into press! 🥳 I like transparent science so in 2020 I submitted a Registered Report for one of my studies. It was rejected because one reviewer’s definition of the term "interoception" differed from mine (and that generally agreed upon in the field). This paper started out as a response to that reviewer, but has inspired much more. Watch this space😊

This study reveals that 25% of all discoveries since 1900 did not apply the common scientific method (all three features)—with 6% of discoveries using no observation, 23% using no experimentation, and 17% not testing a hypothesis. Assessing all major discoveries, we identify here a general, common feature that the method of science can be reduced to: making all major discoveries has required using sophisticated methods and instruments of science.

Are math modelers the endosymbionts inside #endosymbiosis research? Explore this question, and how mathematical models can advance endosymbiosis research, in a recent PLOS Biology essay by three IceLab postdocs (Adriano Bonforti, Lucas Santana Souza (He/Him) and Josephine Solowiej-Wedderburn) funded by Kempestiftelserna, with Associate professor Eric Libby, Department of Mathematics and Mathematical Statistics, IceLab and UCMR - Umeå Centre for Microbial Research at Umeå university member. Endosymbiosis, the intimate and long-term relationship where one organism lives inside another, is a cornerstone of life as we know it, and a key to the emergence of complex life on Earth. Many of the mysteries surrounding endosymbiosis are difficult to tackle using empirical approaches alone - and this is where mathematical modeling can make a difference. Read an overview of the essay: https://lnkd.in/dJKe6aTb Read the original essay: https://lnkd.in/dBMiQCyj

I only read the abstract but was interesting. "Using data on all major discoveries across science including all Nobel Prize and major non-Nobel Prize discoveries, we can address the question of the extent to which 'the scientific method' (testing hypotheses using observation and experimentation) is actually applied in making science's groundbreaking research and whether we need to expand this central concept of science. This study reveals that 25% of all discoveries since 1900 did not apply the common scientific method (all three features)—with 6% of discoveries using no observation, 23% using no experimentation, and 17% not testing a hypothesis. Empirical evidence thus challenges the common view of the scientific method. Adhering to it as a guiding principle would constrain us in developing many new scientific ideas and breakthroughs. Instead, assessing all major discoveries, we identify here a general, common feature that the method of science can be reduced to: making all major discoveries has required using sophisticated methods and instruments of science. These include statistical methods, particle accelerators, and X-ray methods. Such methods extend our mind and generally make observing, experimenting, and testing hypotheses in science possible, doing so in new ways and ensure their replicability. This provides a new perspective to the scientific method—embedded in our sophisticated methods and instruments—and suggests that we need to reform and extend the way we view the scientific method and discovery process." Via Marginal Revolution (https://bit.ly/3KiZNoj) https://lnkd.in/gS5D4cP6

[HTML] On Neutrosophic Fuzzy Metric Space and Its Topological Properties S Ghosh, Sonam, R Bhardwaj, S Narayan - Symmetry, 2024 The present research introduces a novel concept termed “neutrosophic fuzzy metric space”, which extends the traditional metric space framework by incorporating the notion of neutrosophic fuzzy sets. A thorough investigation of various structural and …

The process of science - how do we get to Evidence-based practice? I love teaching this lesson; whether it be in Research Methods, Ex Phys, Applied Sports Science, etc. In Reserach Methods, last week we talked about what is science and research, etc. And how do we do it? ANd that you need not be a ‘white lab coat researcher’ … think Plan | Do | Study | Act (Program Evaluation/ Quality Improvement). Today we did our “Instant Animals” experiments … we will follow this up with a Consensus Conference of the 5 ‘research groups’ and explore causal criteria.

📃Scientific paper: Model-independent reconstruction of the primordial curvature power spectrum from PTA data Abstract: Recently released data from pulsar timing array \(PTA\) collaborations provide strong evidence for a stochastic signal consistent with a gravitational-wave background, potentially originating from scalar-induced gravitational waves \(SIGWs\). However, in order to determine whether the SIGWs with a specific power spectrum of curvature perturbations can account for the PTA signal, one needs to estimate the energy density of the SIGWs, which can be computationally expensive. In this paper, we use a model-independent approach to reconstruct the primordial curvature power spectrum using a free spectrum cross over from $10^\{1\}\,\mathrm\{Mpc\}^\{-1\}$ to $10^\{20\}\,\mathrm\{Mpc\}^\{-1\}$ with NANOGrav 15-yrs data set. Our results can simplify the task of assessing whether a given primordial curvature power spectrum can adequately explain the observed PTA signal without calculating the energy density of SIGWs. ;Comment: 16 pages, 1 figure Discover the rest of the scientific article on es/iode ➡️https://etcse.fr/D2dR

The 14th ISCB Wikipedia Competition is now open! This is your chance to expand global knowledge by editing or creating Wikipedia pages related to bioinformatics in any language. If you're passionate about bioinformatics, this is the perfect opportunity to get involved. The competition runs until May 2, 2025. #computationalbiology #bioinformatics #wikipedia #competition #sciencecommunication #iscb #iscbrsg

Our work is now available on arXiv: https://lnkd.in/grkz97Yf Check out our paper where we developed an ab initio framework based on the Bethe-Salpeter equation (BSE) to describe a pump-probe experiment. In this experiment, an x-ray pulse probes solid-state valence excitons using x-ray absorption spectroscopy. Our theoretical framework is particularly relevant for accurately modeling pump-probe experiments of photo-excited materials, capitalizing on the novel capabilities offered by x-ray science. This marks my first paper in this exciting new field, since I changed my field. don't miss it! #BSE #PumpProbe #XRayScience #MaterialsResearch

🔓 JSD is the result of the desire to share and make valid scientific contributions on structural dynamics freely accessible to researchers. Our Authors fully committed with this spirit and made the experimental data used in their research freely available! 📉 You can freely download the experimental data here: https://lnkd.in/e5AVUDnx ❗Remember to cite this paper and the reference to the dataset for any subsequent publication exploiting it! 👏 Thank you, quentin leclere, Kerem Ege, Fabien Marchetti, Bert Roozen, philippe duvauchelle, Mohamed Tahraoui and Valerie Kaftandjian! #openscience #opendata #openaccess #convolutionalneuralnetworks #ndt #xray #diamondopenaccess #structuraldynamics #scientificresearch