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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.ML
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The search results for "stat.ML" highlight diverse applications of machine learning in scientific research. They range from theoretical physics, such as the proposal of a 6D superconformal field theory as a "Theory of Everything," to biochemistry, where machine learning models simulate protein folding pathways, kinetics, and binding affinities. These studies illustrate the broad utility of machine learning in modeling complex systems, optimizing protein folding processes, and predicting protein interactions more efficiently than traditional experimental methods.
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arxiv.org
6D superconformal theory as the theory of everything

We argue that the fundamental Theory of Everything is a conventional field theory defined in the flat multidimensional bulk. Our Universe should be obtained as a 3-brane classical solution in this theory. The renormalizability of the fundamental theory implies that it involves higher derivatives (HD…

hep-th
arxiv.org
The Energy Landscape, Folding Pathways and the Kinetics of a Knotted Protein

The folding pathway and rate coefficients of the folding of a knotted protein are calculated for a potential energy function with minimal energetic frustration. A kinetic transition network is constructed using the discrete path sampling approach, and the resulting potential energy surface is visual…

q-bio.BM cond-mat.soft
arxiv.org
Cooperativity and the origins of rapid, single-exponential kinetics in protein folding

The folding of naturally occurring, single domain proteins is usually well-described as a simple, single exponential process lacking significant trapped states. Here we further explore the hypothesis that the smooth energy landscape this implies, and the rapid kinetics it engenders, arises due to th…

q-bio.BM
arxiv.org
Two-phase protein folding optimization on a three-dimensional AB off-lattice model

This paper presents a two-phase protein folding optimization on a three-dimensional AB off-lattice model. The first phase is responsible for forming conformations with a good hydrophobic core or a set of compact hydrophobic amino acid positions. These conformations are forwarded to the second phase,…

cs.NE physics.comp-ph
arxiv.org
ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors

Determination of binding affinity of proteins in the formation of protein complexes requires sophisticated, expensive and time-consuming experimentation which can be replaced with computational methods. Most computational prediction techniques require protein structures which limit their applicabili…

q-bio.QM cs.LG
arxiv.org
Crucial stages of protein folding through a solvable model: predicting target sites for enzyme-inhibiting drugs

An exactly solvable model based on the topology of a protein native state is applied to identify bottlenecks and key-sites for the folding of HIV-1 Protease. The predicted sites are found to correlate well with clinical data on resistance to FDA-approved drugs. It has been observed that the effects …

cond-mat.stat-mech cond-mat.soft q-bio.BM
arxiv.org
Choices or constraints: decoding financial empowerment among women entrepreneurs in France

This research examines the empowerment of women entrepreneurs in the context of entrepreneurial financing in France. It explores the factors that allow some women entrepreneurs to access certain categories of external finance more easily. The theoretical framework used is based on the concept of emp…

q-fin.GN
arxiv.org
Women in physics in Cyprus: A first report

This paper reviews the status of women in science, physics in particular, in Cyprus. We describe the development of physics in the country, focusing on the contributions and participation of women. We present statistical data for the last several years, reviewing the percentage of women who are purs…

physics.ed-ph hep-lat
arxiv.org
WiCV 2019: The Sixth Women In Computer Vision Workshop

In this paper we present the Women in Computer Vision Workshop - WiCV 2019, organized in conjunction with CVPR 2019. This event is meant for increasing the visibility and inclusion of women researchers in the computer vision field. Computer vision and machine learning have made incredible progress o…

cs.CV
arxiv.org
Comission Femmes et Astronomie de la SF2A : Women participation in french astronomy 2025

The Commission Femmes et Astronomie of the French Astronomical Society, has conducted a statistical study aimed at mapping the current presence of women in French professional astronomy and establishing a baseline for tracking its evolution over time. This study follows an initial survey carried out…

astro-ph.IM astro-ph.CO astro-ph.EP astro-ph.GA astro-ph.HE