Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Constructing the dynamical law. by Robert Marsland (8616483)

Rate functions Φ(<i>C</i>) for the random vaccination heuristics for different system sizes <i>N</i> at their respective critical vaccination. by Yannick Feld (16520678)

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Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of rate ratio . by Paul Kinsler (3975620)

Comparison of compression rates of DDQR and Geco3 using simulated data around the region where the performance of DDQR exceeds that of GeCo3. by Yujun Wang (1947196)

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The graphical bar outputs of the <i>ceRNAFunction</i> function based on over-representation analysis (ORA). by Yi-Wen Hsiao (13767916)

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The graphical bubble outputs of the <i>ceRNAFunction</i> function are based on over-representation analysis (ORA). by Yi-Wen Hsiao (13767916)

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Verification of the in-line PS function. by Raul Castañeda (13932971)

Classification accuracy and information transfer rate (ITR) as a function of the measurement set-up and the number of combined trials. by Dovilė Kurmanavičiūtė (21072549)

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…Inertia was calculated using the scikit learn module in Python. B) Resulting cluster distance from hierarchical clustering to averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

Data fitting and inference of the time-dependent parameters by TDINN algorithm for multiple waves of COVID-19 infection in Liaoning province. by Mengqi He (5753525)

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IGA parameters selection. by Dingming Yang (8505990)

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The model of network adversarial attack. by Dingming Yang (8505990)

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The graphical outputs of the <i>ceRNAModule</i>, <i>ceRNASurvial</i>, and <i>ceRNALocation</i> functions. by Yi-Wen Hsiao (13767916)

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Quick guide on how to calculate P/B and Q/B for Ecopath with Ecosim (EwE) models by Daniel Vilas (13621390)

Spatial distribution of municipality scores in functional PC1 (A), PC2 (B) and PC3 (C). by Manuel Ribeiro (17889313)

Subjects: “…unsupervised learning algorithms…”

The recurrent T3D algorithm. by Neythen J. Treloar (8698251)

Livestock grazing detection algorithms by Christos Astaras (3632509)

“…</div><div><br></div><div>Please note that the algorithms have been developed based on recordings with SWIFT sensors (Cornell University), 8 KHz sampling rate, and 33 dB gain.…”

Reconstruction performance across algorithms, dynamics, cell types, and recording length. by Christian Donner (3663007)

“…<p><b>A</b> Example raster plot (upper panel) and traces of binned population activity (lower panel; the number of spikes per second and neuron) of the <i>high-burst rate</i> condition. …”