Results 61 to 70 of about 68,163 (244)

A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficiency and integrity, are essential but mechanistically complex. This study presents a modular mechanistic model of the IVT process to advance scientific understanding ...
Keqi Wang   +12 more
wiley   +1 more source

Partitioning the hypercube into smaller hypercubes

open access: yesIllinois Journal of Mathematics
Proofs slightly shortened and referee comments ...
Alon, Noga   +2 more
openaire   +3 more sources

Dynamic Calibration of DEM Simulations Using Rotating Drum Experiments Using the Mean Absolute Error

open access: yesChemie Ingenieur Technik, EarlyView.
Calibrating DEM simulations is challenging due to unknown microscopic parameters. Rotating drum experiments are combined with image‐based analysis and Latin Hypercube Sampling (LHS). An area‐based Mean Absolute Error (MAE) enables reliable identification of optimal parameter sets.
Marius Hoffmann   +2 more
wiley   +1 more source

Visibility in Hypercubes

open access: yesGraphs and Combinatorics
Abstract A subset M of vertices in a graph G is a mutual-visibility set if any two vertices u and v in M “see” each
Maria Axenovich, Dingyuan Liu
openaire   +2 more sources

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Random finite element analysis on ground subsidence caused by tunnel excavation in karst regions with spatial variable soil

open access: yesDeep Underground Science and Engineering, EarlyView.
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su   +4 more
wiley   +1 more source

Switching Systems Synthesis Method Using Permuted Gray Code Tables (PGC Method)

open access: yesLatin-American Journal of Computing, 2021
Finding the shortest function on switching systems is a necessity for the development of efficient automatic systems. Currently, several methodologies aim to solve this need with different techniques.
Cesar Troya-Sherdek   +3 more
doaj  

Distance-Based Polynomials and Topological Indices for Hierarchical Hypercube Networks

open access: yesJournal of Mathematics, 2021
Topological indices are the numbers associated with the graphs of chemical compounds/networks that help us to understand their properties. The aim of this paper is to compute topological indices for the hierarchical hypercube networks. We computed Hosoya
Tingmei Gao, Iftikhar Ahmed
doaj   +1 more source

A characterization of hypercubes

open access: yesDiscrete Mathematics, 1977
AbstractA combinatorial characterization of hypercubes is given. A hypercube is defined as the undirected Hasse diagram of a Boolean lattice. The method used is inductive extension of partial isomorphisms.
openaire   +1 more source

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source

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