Video2_Fast strain mapping in abdominal aortic aneurysm wall reveals heterogeneous patterns.MP4 by Marta Irene Bracco (16076957)

“…Then, the cyclic strains were mapped by means of radial basis function interpolation and differentiation. …”

DataSheet1_Fast strain mapping in abdominal aortic aneurysm wall reveals heterogeneous patterns.PDF by Marta Irene Bracco (16076957)

“…Then, the cyclic strains were mapped by means of radial basis function interpolation and differentiation. …”

A) Probability density of glucuronate-UDP as a function of three collective variables (CVs): the distance between the C6 atom of the sugar and the atom of Lys307, defined as <i>d</i>_<i>k</i>, and the two angles <i>γ</i> and <i>θ</i> describing the orientation of the sugar ring in a polar coordinate system. B) RMSD of the probability density with respect to the initial state, calculated after 1 ns of simulation. The density of states is complex, and stable populations are observed at the end of the simulation. C) Probability density of glucose-UDP. D) RMSD of the density of states calculated as in B). In this case, convergence is even clearer. The density functions were computed by including all replicas from the Hamiltonian replica exchange simulation, with weights determined using the WHAM algorithm. by Davide Luciano (22822210)

“…The density functions were computed by including all replicas from the Hamiltonian replica exchange simulation, with weights determined using the WHAM algorithm.…”

The SCOPer algorithm can be run efficiently on multiple cores. by Nima Nouri (2183760)

Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF by Minhua Guo (18392646)

Power flow and cost optimization with APSO variant-16 of APSO algorithm (b). by Muhammad Ahmad Iqbal (11851338)

(a) Flow chart for PSO algorithm (b) position and velocity update of particles (c) convergence of PSO. by Waqas Anjum (8415186)

Parameters of the genetic algorithm. by Jian Ma (170138)

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”

Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

“…(C) Schematic representation of the implementation of the genetic algorithm (GA) using the metabolic network presented in B. …”

Recursive attention function and loss function change. by Wang Linfeng (17102068)

A hypothetical example illustrating the differences between the two assessment modes in G4SNVHunter. by Rongxin Zhang (1618159)

Approximate energy consumed per particles in <i>nano Joules</i> (<i>nJ</i>) for various computation platforms and algorithms (A: first algorithm, B: second algorithm, C: third algo... by Abedalmuhdi Almomany (18547669)

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)