Classification of cell types in the leaf and the sepal. by Frances K. Clark (5617169)

“…Associated with <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003469#pbio.3003469.s010" target="_blank">S10 Fig</a>. The code and data associated with this figure can be found at Open Science Framework (osf.io), <a href="https://doi.org/10.17605/OSF.IO/RFCWS" target="_blank">https://doi.org/10.17605/OSF.IO/RFCWS</a>.…”

Supplementary file 1_A workflow for extracting ungulate trails in wetlands using 3D point clouds obtained from airborne laser scanning.docx by Jinhu Wang (2631772)

“…The workflow starts by pre-processing to retile the LiDAR point clouds to designated tiles and removes outliers from the raw data. …”

<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b> by Li Yang (13558573)

“…</p><p dir="ltr"><br></p><p dir="ltr"><b>Data Description</b></p><p dir="ltr">1. Code:</p><p dir="ltr">The analysis is divided into two main parts:</p><p dir="ltr">Part 1 (Step1_Spatial analysis.Rmd): Processes zonation maps to identify HCN and HZR areas, overlays them to derive HCN-HZR areas, and calculates distributions across taxonomic groups, protected areas, and countries.…”

Multi-Task Learning for Gaussian Graphical Regressions with High Dimensional Covariates by Jingfei Zhang (580874)

“…We also develop an efficient augmented Lagrangian algorithm for computation, which solves subproblems with a semi-smooth Newton method. …”

Table 3_Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry.xlsx by Gabriella M. Weiss (11888203)

“…The raw mass spectrometry data was compared with two different MA processing algorithms - one that uses the parent molecule spectrum and molecular weight (recursive) and one that does not (non-recursive). …”

DMG single cell regulatory networks by Ester Calvo Fernandez (22126600)

“…Standard parameters were set including zero DPI (Data Processing Inequality) tolerance and MI (Mutual Information) p-value threshold of 10-8, computed by permuting the original dataset as a null model.…”

Table 1_Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry.xlsx by Gabriella M. Weiss (11888203)

“…The raw mass spectrometry data was compared with two different MA processing algorithms - one that uses the parent molecule spectrum and molecular weight (recursive) and one that does not (non-recursive). …”

Table 2_Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry.xlsx by Gabriella M. Weiss (11888203)

“…The raw mass spectrometry data was compared with two different MA processing algorithms - one that uses the parent molecule spectrum and molecular weight (recursive) and one that does not (non-recursive). …”

Integrating urinary metabolomics and clinical datasets for multi-cancer detection by Dongyong Lee (18786694)

“…SERS intensity (arbitrary units)</p><p dir="ltr">- All spectra have a uniform number of data points (rows) per file.</p><p dir="ltr">- No baseline correction, smoothing, normalization, or other signal processing has been applied. …”

The 2009 FDA PRO guidance, Potential Type I error, Descriptive Statistics and Pragmatic estimation of the number of interviews for item elicitation by Josh Fleckner (22075124)

“…The URN model provides a framework to demonstrate that an algorithm such as “first interview with zero new codes” may establish that all codes have been elicited. …”

How voice biomarkers have been used in heart failure management: a scoping review by Yufan Yang (8250309)

“…Most studies (12/19) developed new algorithms for data analysis. Model performance was mainly evaluated by accuracy (10/19), sensitivity (7/19), and specificity (6/19). …”

Gaze Inputs for Targeting: The Eyes Have It, Not With a Cursor by Ajoy S. Fernandes (22293773)

“…If the participant looked out of the grid boundary, on button press, we chose to select the last targeted element, but no other algorithms to enhance performance were employed. …”

TreeMap 2016: A tree-level model of the forests of the conterminous United States circa 2016 by Karin L. Riley (19657882)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

<b>Measurement </b><b>m</b><b>ethod for </b><b>b</b><b>ogie </b><b>s</b><b>teel </b><b>s</b><b>pring </b><b>p</b><b>arameters </b><b>b</b><b>ased on 3D </b><b>s</b><b>tructured </b... by xinpeng shi (16710936)

“…The end-face point cloud then undergoes iterative plane fitting, and the spring height is determined by combining this with a projection-based height measurement algorithm. Finally, a boundary extraction method is introduced to process the end-face point cloud data, where the spring radius is obtained through a circle-fitting algorithm. …”

Data Sheet 1_Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data.csv by Bo Lu (241075)

“…</p>Methods<p>This study utilized crowdsourced exercise walking data and incorporated diverse campus characteristics to construct a multidimensional variable system. …”

Data Sheet 2_Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data.csv by Bo Lu (241075)

“…</p>Methods<p>This study utilized crowdsourced exercise walking data and incorporated diverse campus characteristics to construct a multidimensional variable system. …”

Table 2_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…Future efforts should aim to enhance the standardization of data processing, feature selection, and validation processes. …”

Table 4_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…Future efforts should aim to enhance the standardization of data processing, feature selection, and validation processes. …”

Table 3_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…Future efforts should aim to enhance the standardization of data processing, feature selection, and validation processes. …”

Table 1_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…Future efforts should aim to enhance the standardization of data processing, feature selection, and validation processes. …”