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Related papers: SCN as a Local Probe of Protein Structural Dynamic…

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Protein dynamics has been investigated on a wide range of time scales. Nano- and picosecond dynamics have been assigned to local fluctuations, while slower dynamics have been attributed to larger conformational changes. However, it is…

The Spatial Convolution Model (SCM) analyzes allostery based on the spatial evolution of the docking protein elastic media, whereby convolution of the media in response to wave propagation is solved as a function of Z fluctuations and…

Biological Physics · Physics 2021-03-18 Leroy K. Davis

Spin noise spectroscopy is emerging as a powerful technique for studying the dynamics of various spin systems also beyond their thermal equilibrium and linear response. Here, we study spin fluctuations of room-temperature neutral atoms in a…

Atomic Physics · Physics 2021-07-21 V. Guarrera , R. Gartman , G. Bevilacqua , W. Chalupczak

Self Consistent Normal Mode Analysis (SCNMA) is applied to heme c type cytochrome f to study temperature dependent protein motion. Classical Normal Mode Analysis (NMA) assumes harmonic behavior and the protein Mean Square Displacement (MSD)…

Biological Physics · Physics 2013-05-29 Jianguang Guo , Timo Budarz , Joshua M. Ward , Earl W. Prohofsky

The growing interest for comparing protein internal dynamics owes much to the realization that protein function can be accompanied or assisted by structural fluctuations and conformational changes. Analogously to the case of functional…

Biomolecules · Quantitative Biology 2012-12-19 C. Micheletti

Superluminous supernovae (SLSNe) have been detected to $z\sim4$ and can be detected to $z\gtrsim15$ using current and upcoming facilities. SLSNe are extremely UV luminous, and hence objects at $z\gtrsim7$ are detected exclusively via their…

High Energy Astrophysical Phenomena · Physics 2023-03-15 Nandita Khetan , Jeff Cooke , Marica Branchesi

We investigate the use of type Ic Super Luminous Supernovae as standardizable candles and distance indicators. Their appeal as cosmological probes stems from their remarkable peak luminosities, hot blackbody temperatures and bright…

Solar and Stellar Astrophysics · Physics 2015-06-22 Cosimo Inserra , Stephen J. Smartt

CLIP-seq methods are valuable techniques to experimentally determine transcriptome-wide binding sites of RNA-binding proteins. Despite the constant improvement of such techniques (e.g. eCLIP), the results are affected by various types of…

Biomolecules · Quantitative Biology 2024-12-31 Gianluca Corrado , Michael Uhl , Rolf Backofen , Andrea Passerini , Fabrizio Costa

Hydrated proteins undergo a transition in the deeply supercooled regime, which is attributed to rapid changes in hydration water and protein structural dynamics. Here, we investigate the nanoscale stress relaxation in hydrated lysozyme…

We derive an analytic expression for site-specific stationary distributions of amino acids from the Structurally Constrained Neutral (SCN) model of protein evolution with conservation of folding stability. The stationary distributions that…

Biomolecules · Quantitative Biology 2007-05-23 Markus Porto , H. Eduardo Roman , Michele Vendruscolo , Ugo Bastolla

The electronic properties of superconducting Sn films ($T_c \approx$ 3.8 K) change significantly when reducing the film thickness down to a few nm, in particular close to the percolation threshold. The low-energy electrodynamics of such Sn…

Superluminous supernova (SLSN) lightcurves exhibit a superior diversity compared to their regular luminosity counterparts in terms of rise and decline timescales, peak luminosities and overall shapes. It remains unclear whether this…

High Energy Astrophysical Phenomena · Physics 2019-04-03 Emmanouil Chatzopoulos , Richard Tuminello

We propose a novel approach to detect the binding between proteins making use of the anomalous diffraction of natively present heavy elements inside the molecule 3D structure. In particular, we suggest considering sulfur atoms contained in…

Multi-Label Remote Sensing Image Classification (MLRSIC) has received increasing research interest. Taking the cooccurrence relationship of multiple labels as additional information helps to improve the performance of this task. Current…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Yongkun Liu , Kesong Ni , Yuhan Zhang , Lijian Zhou , Kun Zhao

Skeleton-based action recognition is a hotspot in image processing. A key challenge of this task lies in its dependence on large, manually labeled datasets whose acquisition is costly and time-consuming. This paper devises a novel,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-24 Hichem Sahbi

Robust signal detection in colored noise with unknown covariance is essential in radar, cognitive radio, integrated sensing and communication (ISAC), and quantum sensing applications. This paper develops a unified analytical framework for…

Signal Processing · Electrical Eng. & Systems 2026-05-20 Tharindu Udupitiya , Saman Atapattu , Prathapasinghe Dharmawansa , Chintha Tellambura , Merouane Debbah

Spin Noise Spectroscopy (SNS) is an experimental approach to obtain correlators of mesoscopic spin fluctuations in time by purely optical means. We explore the information that this technique can provide when it is applied to a weakly…

Mesoscale and Nanoscale Physics · Physics 2015-06-16 Fuxiang Li , Yuriy V. Pershin , Valeriy A. Slipko , Nikolai A. Sinitsyn

This compendium review focuses on the spatial distribution of sensitivity to localized absorption changes in optically diffuse media, particularly for measurements relevant to near-infrared spectroscopy. The three temporal domains,…

Instrumentation and Detectors · Physics 2024-03-01 Giles Blaney , Angelo Sassaroli , Sergio Fantini

A broad effort is underway to understand and harness the interaction between superconductors and spin-active color centers with an eye on the realization of hybrid quantum devices and novel imaging modalities of superconducting materials.…

Diagrams often depict complex phenomena and serve as a good test bed for visual and textual reasoning. However, understanding diagrams using natural image understanding approaches requires large training datasets of diagrams, which are very…

Computer Vision and Pattern Recognition · Computer Science 2018-04-05 Jonghyun Choi , Jayant Krishnamurthy , Aniruddha Kembhavi , Ali Farhadi