Results 161 to 170 of about 10,752 (214)

Large‐Scale Structural Dynamics in the Tail Fiber Modulate the Infective Transition of the T7 Bacteriophage

Small, Volume 22, Issue 46, 18 August 2026.
During host recognition, the fibers of T7 bacteriophages transition from a capsid bound state to an extended conformation, which requires some level of fiber flexibility. By using high‐speed atomic force microscopy, we show that the fibers have an internal molecular hinge and a torsionally compliant coiled‐coil region.
Luca Elizabet Kosik, Miklós Cervenak, Dominik Sziklai, Andrea Balogh‐Molnár, Negar Rahimi, Bence Fehér, Soma Yamamoto, Hiroki Konno, Noriyuki Kodera, Holger Flechsig, Romain Amyot, Heinz Amenitsch, Hedvig Tordai, Levente Herényi, Ana Cuervo, Miklós Kellermayer, Bálint Kiss   +16 more
wiley   +1 more source

Prospective HIV Clinical Trial Comparison by Expected Kullback-Leibler Divergence. [PDF]

Proc Am Control Conf, 2016
Cannon L, Garcia CAV, Piovoso MJ, Zurakowski R.   +3 more
europepmc   +1 more source

Bayesian Inference of Fault Slip Heterogeneity and Overlap: Application to 2019 Ridgecrest Earthquakes and Afterslip

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract Fault slip occurs in both seismic and aseismic styles with spatial variability across scales, yet non‐unique source inference limits our ability to resolve slip complexity and dynamics. Here we evaluate the effect of spatial smoothing regularization in Bayesian frameworks by comparing an unregularized (BUR) approach that samples distributed ...
Xiong Zhao, Junle Jiang
wiley   +1 more source

A Sequence-Based Damage Identification Method for Composite Rotors by Applying the Kullback-Leibler Divergence, a Two-Sample Kolmogorov-Smirnov Test and a Statistical Hidden Markov Model. [PDF]

Entropy (Basel), 2019
Filippatos A, Langkamp A, Kostka P, Gude M.   +3 more
europepmc   +1 more source

Toward Generative Machine Learning for Boosting Ensembles of Climate Simulations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Accurately quantifying uncertainty in predictions and projections arising from irreducible internal climate variability is critical for decision‐making. Such uncertainty is typically assessed using ensembles produced with climate models. However, computational constraints impose a trade‐off between generating large ensembles required for ...
Parsa Gooya, Reinel Sospedra‐Alfonso, Johannes Exenberger   +2 more
wiley   +1 more source

Kullback-Leibler divergence for detection of rare haplotype common disease association. [PDF]

Eur J Hum Genet, 2015
Lin S.
europepmc   +1 more source

Complex temporal topic evolution modelling using the Kullback-Leibler divergence and the Bhattacharyya distance. [PDF]

EURASIP J Bioinform Syst Biol, 2016
Andrei V, Arandjelović O.
europepmc   +1 more source

Applications of a Kullback-Leibler Divergence for Comparing Non-nested Models. [PDF]

Stat Modelling, 2013
Wang CP, Jo B.
europepmc   +1 more source

Kullback-Leibler Divergence-Based Differential Evolution Markov Chain Filter for Global Localization of Mobile Robots. [PDF]

Sensors (Basel), 2015
Martín F, Moreno L, Garrido S, Blanco D.   +3 more
europepmc   +1 more source

Comparing Conformational Ensembles Using the Kullback-Leibler Divergence Expansion. [PDF]

J Chem Theory Comput, 2012
McClendon CL, Hua L, Barreiro A, Jacobson MP.   +3 more
europepmc   +1 more source