Abstract We introduce mixed super‐circles, a position‐curvature formulation of the original dynamic 2D super‐helix model. Compared to the latter, purely curvature‐based model – the so‐called chained formulation –, the mixed formulation that we propose here drastically reduces the algorithmic complexity of the solving scheme – from quadratic to quasi ...
Emile Hohnadel +2 more
wiley +1 more source
Exact Analytical Solutions for Static Response of Helical Single-Walled Carbon Nanotubes Using Nonlocal Euler-Bernoulli Beam Theory. [PDF]
Dalgıç AM +3 more
europepmc +1 more source
ABSTRACT Characterization of the crack tip, such as the stress intensity factor (SIF), is a vital step for the assessment of fatigue crack growth and prediction of potential failure in engineering structures. This study investigates the use of thermoelastic stress analysis (TSA) for SIF evaluation, including a methodology for non‐adiabatic stress field
John Codrington +3 more
wiley +1 more source
Standing on a common ground: a comparison of static stability approaches for pallet loading
Abstract At the practical level, the static stability constraint is one of the most important constraints in practical pallet loading problems, such as air cargo palletizing. Approaches to modeling static stability, which range from base support and mechanical equilibrium calculations to physical simulation, differ in workflow, focus, and assumptions ...
Philipp G. Mazur +3 more
wiley +1 more source
Proteomic landscape of decellularized breast carcinomas identifies C-type lectin domain family 3 member A as a driver of cancer aggressiveness. [PDF]
Triulzi T +17 more
europepmc +1 more source
SlGRF1 mediates gibberellin signaling to control cut‐budding in tomato
Upon wounding, cytokinin increases to initiate callus formation. Gibberellin enhances this, but later blocks bud formation by suppressing SlGRF1. Wounding‐induced protein SlGRF1 triggers buds via NAM1, EPF4, and ER2. Hormonal shifts control cut‐budding phases.
Yaping Xu +7 more
wiley +1 more source
Time‐Varying Dispersion Integer‐Valued GARCH Models
ABSTRACT We introduce a general class of INteger‐valued Generalized AutoRegressive Conditionally Heteroscedastic (INGARCH) processes by allowing simultaneously time‐varying mean and dispersion parameters. We call such models time‐varying dispersion INGARCH (tv‐DINGARCH) models.
Wagner Barreto‐Souza +3 more
wiley +1 more source
Axonal injury is a targetable driver of glioblastoma progression. [PDF]
Clements M +20 more
europepmc +1 more source
Dopaminergic Axon Tracts Within a Hyaluronic Acid Hydrogel Encasement to Restore the Nigrostriatal Pathway. [PDF]
Gordián-Vélez WJ +8 more
europepmc +1 more source
Commutative avatars of representations of semisimple Lie groups. [PDF]
Hausel T.
europepmc +1 more source

