Results 41 to 50 of about 2,504 (186)

The three point asymmetric cumulants in high multiplicity pp collisions

open access: yesEuropean Physical Journal C: Particles and Fields, 2021
We study the influence of quantum interference and colour flow on three point correlations described by asymmetric cumulants in high multiplicity events in pp collisions.
B. Blok, R. Segev
doaj   +1 more source

An exciting Approach to Theoretical Spectroscopy

open access: yesAdvanced Science, EarlyView.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno   +29 more
wiley   +1 more source

Optimal estimators in biadditive models and their families

open access: yesFrontiers in Applied Mathematics and Statistics
Biadditive regression models are linear models with an additive structure for their covariance matrix. We introduce commutative conditions and derive optimal estimators, namely Best Linear Unbiased Estimators (BLUE) and Best Quadratic Unbiased Estimators
Manuela Oliveira   +4 more
doaj   +1 more source

Proton cumulants and correlation functions in Au + Au collisions at sNN=7.7–200 GeV from UrQMD model

open access: yesPhysics Letters B, 2017
We studied the acceptance dependence of proton cumulants (up to fourth order) and correlation functions in 0–5% most central Au+Au collisions at sNN=7.7, 11.5, 19.6, 27, 39, 62.4 and 200 GeV from UrQMD model.
Shu He, Xiaofeng Luo
doaj   +1 more source

An array virtual extension method for power equipment acoustic emission direction of arrival estimation based on high‐order cumulants

open access: yesHigh Voltage, 2021
The performance of array‐based power equipment acoustic emission (AE) source directional of arrival (DOA) estimation methods is decided by not only algorithm performance, but also the array hardware parameters, that is, array aperture, sensor number, and
Nan Zhou   +4 more
doaj   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

open access: yesAdvanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford   +3 more
wiley   +1 more source

Ott-Antonsen ansatz truncation of a circular cumulant series

open access: yesPhysical Review Research, 2019
The cumulant representation is common in classical statistical physics for variables on the real line and the issue of closures of cumulant expansions is well elaborated. The case of phase variables significantly differs from the case of linear ones; the
Denis S. Goldobin   +1 more
doaj   +1 more source

Process Optimization of Solution Blow Spinning for Poly (N‐Isopropylacrylamide) Fibers

open access: yesJournal of Applied Polymer Science, EarlyView.
Solution blow spinning has emerged as a safe and scalable technique for fabricating thermoresponsive PNIPAM fibers. The influence of key parameters on jet stability and fiber uniformity is determined through both rheological analysis and statistical process optimization. A Box–Behnken design reveals an optimized window for producing PNIPAM fibers below
Maryam Parastar   +2 more
wiley   +1 more source

PERFECTA Loaded Lipid Cubosomes for 19F‐MRI: Physico‐Chemical Characterization

open access: yesChemistry – A European Journal, EarlyView.
Phytantriol‐based cubosomes loaded with PERFCTA, a fluorinated MRI probe, were developed as promising systems for imaging and drug delivery. The nanoparticles showed high PERFECTA encapsulation efficiency, strong fluorine MRI signals, and optimal colloidal stability in biological media.
Pietro Milesi   +10 more
wiley   +1 more source

Fibrilpaint: A Class of Amyloid‐Targeting Peptides

open access: yesChemistry – A European Journal, EarlyView.
FibrilPaints are modular peptides engineered to recognize amyloid fibrils. By systematically varying charge, sequence, and termini, their binding behavior can be tuned while retaining recognition. Successful binding ″paints″ fibrils for visualization and opens routes toward targeted degradation and diagnostic applications.
Júlia Aragonès Pedrola   +8 more
wiley   +1 more source

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