Results 51 to 60 of about 214,638 (308)

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

Analytical formula for multiple ionization cross sections of rare gas atoms by electron and positron impact

Physical Sciences and Technology
The paper presents an analysis of data on the single and multiple ionization cross sections of rare gas atoms by electron impact and single ionization cross sections by positron impact.
Sergey Maiorov, R.I. Golyatina
doaj   +1 more source

Renormalized functional renormalization group

Physics Letters B, 2018
We construct a new version of the effective average action together with its flow equation. The construction entails in particular the consistency of fluctuation field and background field equations of motion, even for finite renormalization group scales.
Stefan Lippoldt
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

Approximations to Study the Impact of the Service Discipline in Systems with Redundancy

Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
As job redundancy has been recognized as an effective means to improve performance of large-scale computer systems, queueing systems with redundancy have been studied by various authors. Existing results include methods to compute the queue length distribution and response time but only when the service discipline is First-Come-First-Served (FCFS). For
Nicolas Gast, Benny Van Houdt
openaire   +4 more sources

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Piecewise approximation and neural networks [PDF]

, 2007
summary:The paper deals with the recently proposed autotracking piecewise cubic approximation (APCA) based on the discrete projective transformation, and neural networks (NN).
Révayová, Martina, Török, Csaba
core  

Aspects of the Schwinger Variational Principle Formulation

Trends in Computational and Applied Mathematics, 2000
The application of the Schwinger variational principle-SVP and, in particular, the second Born approximation to the evaluation of scattering amplitude and integral cross sections for eletron-atom impact is ...
J.L.S. Lino, A.R. de Farias, N.S. Araújo   +2 more
doaj   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

The impact of data distribution on Q-learning with function approximation

Machine Learning
AbstractWe study the interplay between the data distribution and Q-learning-based algorithms with function approximation. We provide a unified theoretical and empirical analysis as to how different properties of the data distribution influence the performance of Q-learning-based algorithms.
P. Santos, Pedro, S. Carvalho, Diogo, Sardinha, Alberto, Melo, Francisco   +3 more
openaire   +3 more sources