Routing optimization tool implemented as an interactive dashboard for use by community health programs in Ifanadiana District. حسب Mauricianot Randriamihaja (9091488)

"…Parameters of the algorithm (e.g. visit times, number of monthly visits) can be changed via the left-hand side panel and key output information (number of personnel-days, etc.) is provided for each fokontany and Commune in the table underneath the map. …"

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

Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model حسب 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 - حسب 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) حسب 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.…"

GameOfLife Prediction Dataset حسب David Towers (12857447)

"…Excluding 0, the lower numbers also get increasingly unlikely, though more likely than higher numbers, we wanted to prevent gaps and therefore limited to 25 contiguous classes</p><p dir="ltr">NumPy (.npy) files can be opened through the NumPy Python library, using the `numpy.load()` function by inputting the path to the file into the function as a parameter. …"

CSPP instance حسب peixiang wang (19499344)

"…</b></p><p dir="ltr">Its primary function is to create structured datasets that simulate container terminal operations, which can then be used for developing, testing, and benchmarking optimization algorithms (e.g., for yard stacking strategies, vessel stowage planning).…"

Table 4_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.xlsx حسب Suling Zhuang (21775925)

"…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …"

Table 5_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.xlsx حسب Suling Zhuang (21775925)

"…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …"

Table 2_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.docx حسب Suling Zhuang (21775925)

"…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …"

Table 6_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.xlsx حسب Suling Zhuang (21775925)

"…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …"

Table 1_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.docx حسب Suling Zhuang (21775925)

"…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …"

Table 3_Integrated cytomembrane proteomics identifies EpCAM/MGST1 as therapeutic targets in metastatic laryngeal carcinoma.xlsx حسب Suling Zhuang (21775925)

"…Potential immunotherapy targets were identified and prioritized using an in silico screening algorithm for cytomembrane proteome.</p>Results<p>The in silico screening algorithm for cytomembrane proteome led to the recognition of EpCAM and MGST1 as potential targets. …"

NanoDB: Research Activity Data Management System حسب Lorenci Gjurgjaj (19702207)

"…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …"

Code and Data for 'Fabrication and testing of lensed fiber optic probes for distance sensing using common path low coherence interferometry' حسب Radu Stancu (21165068)

"…Distance Sensing</p><p dir="ltr">Code and data to demonstrate extracting distance sensing data from A-scans and to generate Fig. 8 using the algorithm described in Fig. 7. Functions to generate distance measurements are in 'distance_sensing_utilities.py' and an example of how to use this on data in the 'data' folder is in 'distance_sensing_example.py', which generates Fig 8. …"

Brain-in-the-Loop Learning for Intelligent Vehicle Decision-Making حسب Xiaofei Zhang (16483224)

"…In this paper, we utilize functional near-infrared spectroscopy (fNIRS) signals as real-time human risk-perception feedback to establish a brain-in-the-loop (BiTL) trained artificial intelligence algorithm for decision-making. …"

Image 1_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif حسب Wenzhe Li (815057)

"…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …"

Image 3_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif حسب Wenzhe Li (815057)

"…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …"

Image 2_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif حسب Wenzhe Li (815057)

"…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …"

Mechanomics Code - JVT حسب Carlo Vittorio Cannistraci (5854046)

"…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…"