GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios by Yang Lan (20927512)

“…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”

DataSheet1_Sequence-structure functional implications and molecular simulation of high deleterious nonsynonymous substitutions in IDH1 revealed the mechanism of drug resistance in... by Muhammad Suleman (3829027)

“…Despite the important function of IDH1 in tumorigenesis and its very polymorphic nature, it is not yet clear how different nsSNPs affect the structure and function of IDH1. …”

Experimental validation of the SRP model. by Julian Rossbroich (10305768)

Clinical variants at the doublecortin interface. by Izra Abbaali (17605083)

“…Ultimately, we aim to aid researchers in hypothesis generation and design of studies to dissect tubulin function.</p></div>…”

Group results on relative phase and walking frequency. by Claire Chambers (777152)

Parametric LUT curve and reconstruction results. by Benedict Diederich (4903576)

Effect of recording depth and firing rate in ephys. by Ziqiang Wei (5953964)

Recursive-Expansive Dynamics Frameworks Formalization with Negation Isolation and Inverse Zero Operators by Del Bel, Julian (21403013)

Stepwise functions of <i>μ</i> (<i>V</i>_<i>r</i>) and <i>μ</i> (<i>V</i>_<i>f</i>). by Lulu Cheng (6934697)

Adult mosquito demography is defined by survival and dispersal. by Sean L. Wu (8748771)

Calibration and sample phase objects for the JL setup. by Benedict Diederich (4903576)

Fig 4 - by Adam Lampert (413952)

Reproduction of biological regrowth of severed class IV <i>Drosophila</i> neurons. by Moritz Groden (18018276)

Fig 2 - by Marcus Ghosh (7847267)

“…<b>E</b> The accuracy of each ideal algorithm across a subset of detection settings where we vary the signal sparsity—a function of <i>p_e</i> and <i>p_c</i>. …”

Fig 5 - by Adam Lampert (413952)

From timetable spaces to networks. by Fabio Lamanna (4961875)

Fig 3 - by Adam Lampert (413952)

“…As in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011996#pcbi.1011996.g002" target="_blank">Fig 2</a>, in both simulations no. 1 (A-D) and no. 2 (E-H) of the algorithm, the population front and the corresponding treatment function converge to a similar shape ((D) is similar to (H)). …”

Fig 2 - by Adam Lampert (413952)

“…The algorithm then finds the treatment function for which the speed of the leftward movement of the front does not exceed <i>v</i> in any location. …”

SpatialKNifeY analysis landscape. by Shunsuke A. Sakai (13789939)

Table_1_The Impact of Spatial Normalization Strategies on the Temporal Features of the Resting-State Functional MRI: Spatial Normalization Before rs-fMRI Features Calculation May R... by Zhao Qing (8041313)

“…<p>Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies frequently applied the spatial normalization on fMRI time series before the calculation of temporal features (here referred to as “Prenorm”). …”