A typical BCI system depicting the flow and processing of EEG data. by Gursimran Singh (575288)

Subjects:

Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”

Fig 6 - Inverse reconstruction of model cells: Extracting structural and molecular insights through infrared spectroscopic cytology by Proity Nayeeb Akbar (21253534)

Fig 5 - Inverse reconstruction of model cells: Extracting structural and molecular insights through infrared spectroscopic cytology by Proity Nayeeb Akbar (21253534)

Real and imaginary parts of the complex permittivities, , for the six test polymers: (a) PMMA, (b) PC, (c) PDMS, (d) PEI, (e) PET, and (f) PS. by Proity Nayeeb Akbar (21253534)

Example of a typical workflow to construct a network using NeKo. by Marco Ruscone (11747264)

Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

The “Bubblepole” (BUPO) Method for Linear-Scaling Coulomb Matrix Construction with or without Density Fitting by Frank Neese (736441)

“…We refer to these spheres as “bubbles” and therefore refer to the algorithm as the “Bubblepole” (BUPO) algorithm, with the acronym being RI-BUPO-J. …”

LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery by M RN (9866504)

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.…”

Evaluating and Improving Light Absorption Retrievals of Black Carbon Using In Situ Polar Nephelometry by Qizhi Xu (1729057)

“…Contrary to previous studies, we demonstrate a good closure between measured and simulated phase functions when using the Multi-Sphere T-Matrix (MSTM) method for BC aggregates in the accumulation size range. …”

Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 by Robert Zomer (12796235)

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). …”

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

Data for "A multi-objective platform for autonomous property targeting and optimization of colloidal lead halide perovskite quantum dots" by Neal Munyebvu (19690954)

Accelerating Fock Build via Hybrid Analytical-Numerical Integration by Yong Zhang (5893)

“…Likewise, the analytic evaluation of <b>K</b>[<b>D</b>_⊕^<i>A</i>] and seminumerical evaluation of <b>K</b>[<b>D</b>^<i>R</i>] are also invoked for the construction of the exchange matrix <b>K</b>[<b>D</b>] during the SCF iterations. The chain-of-spheres (COSX) algorithm [Chem. Phys. 356, 98 (2009]) is employed for <b>K</b>[<b>D</b>^<i>R</i>] but with a revised construction of the S-junctions for overlap AO pairs. …”

Accelerating Fock Build via Hybrid Analytical-Numerical Integration by Yong Zhang (5893)

“…Likewise, the analytic evaluation of <b>K</b>[<b>D</b>_⊕^<i>A</i>] and seminumerical evaluation of <b>K</b>[<b>D</b>^<i>R</i>] are also invoked for the construction of the exchange matrix <b>K</b>[<b>D</b>] during the SCF iterations. The chain-of-spheres (COSX) algorithm [Chem. Phys. 356, 98 (2009]) is employed for <b>K</b>[<b>D</b>^<i>R</i>] but with a revised construction of the S-junctions for overlap AO pairs. …”

Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model by Marina Diachenko (19739092)

“…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”

S1 Graphical abstract - by José M. Rivera-Arbeláez (12418512)

“…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.…”