Results 71 to 80 of about 59,068,638 (241)
Left to Right: Harriet Eliason - President, Merlene Callister - Vice President, and Lorna Bunker - Secretary/Treasurer.
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RNA‐centric world of retroviruses: unravelling the molecular strategies of genomic RNA packaging
ABSTRACT Retroviruses constitute a unique group of RNA viruses that have profoundly influenced both evolutionary trajectories and biomedical research. Their ability to reverse transcribe and integrate into host genomes has shaped genomic architecture across species and contributed to our understanding of oncogenes, gene regulation, and RNA biology ...
Mohammad Abdullah Jehad +5 more
wiley +1 more source
We present a machine‐learning framework that predicts the electron localization function (ELF) of dense hydrogen directly from atomic geometry, bypassing explicit electronic‐structure calculations. Trained on ab initio data for fluid hydrogen across multiple pressures, the model achieves high accuracy and reveals pressure‐dependent nonlocal ...
Xiaoyu Wang +5 more
wiley +1 more source
A special program for "Parent and Youth" brought to Delta high by the PTA. Left to right: Joe Mace, Tommy Lovell, Kenny Bunker, and special instructor Mrs.
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Abstract Accurately simulating multiphase flows at low capillary numbers remains challenging due to spurious currents and interface discretization errors. We present a systematic comparison of four volume‐of‐fluid (VOF) solvers within the OpenFOAM framework for pressure‐driven Poiseuille–Bingham flow over grooved surfaces: interFoam with classical ...
Amir Joulaei +2 more
wiley +1 more source
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
On the Design of a Class of Analog Filters Whose Impulse Response Is a Mittag‐Leffler Function
Fractional‐order filters whose impulse response is a Mittag‐Leffler (M‐L) function in any of its known forms are summarized in this work. Simulation results using Cadence and experimental results using an FPAA validate the introduced concept. ABSTRACT Fractional‐order filters whose impulse response is a Mittag‐Leffler (M‐L) function in any of its known
Julia Nako +3 more
wiley +1 more source

