Results 61 to 70 of about 205,855 (287)
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
An Improved Phase Space Reconstruction Method-Based Hybrid Model for Chaotic Traffic Flow Prediction
Traffic flow is chaotic due to nonstationary realistic factors, and revealing the internal nonlinear dynamics of chaotic data and making high-accuracy predictions is the key to traffic control and inducement.
Yue Hou, Da Li, Di Zhang, Zhiyuan Deng
doaj +1 more source
Probabilistic Autoencoder Using Fisher Information
Neural networks play a growing role in many scientific disciplines, including physics. Variational autoencoders (VAEs) are neural networks that are able to represent the essential information of a high dimensional data set in a low dimensional latent ...
Johannes Zacherl +2 more
doaj +1 more source
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Some fixed point results in fuzzy metric spaces using a control function [PDF]
In this paper, we establish the results on existence and uniqueness of fixed point for φ-contractive and generalized C-contractive mapping in the fuzzy metric space in the sense of George and Veeramani.
C. T. Aage +2 more
doaj
Statistical approach to quantum phase estimation
We introduce a new statistical and variational approach to the phase estimation algorithm (PEA). Unlike the traditional and iterative PEAs which return only an eigenphase estimate, the proposed method can determine any unknown eigenstate–eigenphase pair ...
Alexandria J Moore +4 more
doaj +1 more source
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
In this paper, our objective is to extend the concept of Menger probability metric space by presenting its corresponding structure, namely the Menger probability suprametric space. Additionally, we investigate several topological properties of this space
Karim Chaira, Nour-Eddine El Harmouchi
doaj +1 more source
Common Fixed Point Theory in Modified Intuitionistic Probabilistic Metric Spaces with Common Property (E.A.) [PDF]
In this paper, we define the concepts of modified intuitionistic probabilistic metric spaces, the property (E.A.) and the common property (E.A.) in modified intuitionistic probabilistic metric spaces.Then, by the commonproperty (E.A.), we prove some ...
Hamid Shayanpour, Asiyeh Nematizadeh
doaj +1 more source
Geodesic Uncertainty in Diffusion MRI
We study theoretical and operational issues of geodesic tractography, a geometric methodology for retrieving biologically plausible neural fibers in the brain from diffusion weighted magnetic resonance imaging.
Rick Sengers, Luc Florack, Andrea Fuster
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