Supplementary file 1_SRC is a potential target of Arctigenin in treating triple-negative breast cancer: based on machine learning algorithms, molecular modeling and in Vitro test.d... by Yuezhou Huang (9998177)

“…Machine learning algorithms were employed to identify hub genes, followed by validation through molecular docking, molecular dynamics (MD) simulations, and surface plasmon resonance (SPR) assays. …”

Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx by Xiaopeng Zhan (4170574)

“…Background<p>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. …”

Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

“…Background<p>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. …”

Development and characterization of a cell-type-specific gene expression reference panel from single-nucleus RNA sequencing (snRNAseq). by Brian Gural (21781982)

Efficient Indexing of large-scale linked interval data improves long-read transcript discovery (The 19th Annual Lewis Landsberg Research Day) by Richard A. Schäfer (19165600)

<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.…”

DA OPRESSÃO ALGORÍTMICA À ÉTICAEMERGENTE: O COLAPSO DAS WMDS EA FUNÇÃO Ƹ* COMO HORIZONTE DANORMATIVIDADE COMPUTÁVEL by LEONARDO COSTA (21212537)

“…The results pointtoward a new horizon for computable ethics: not one that replicateshuman morality, but one that structurally refuses harm as a function ofinferential instability. …”

ProSAAS is expressed in multiple cell types in a mixed species meta-analysis. by Nicholas Schaffer (21376843)

“…<p>Log-transformed transcriptional counts of proSAAS (<b><i>Red</i></b>); clusterin (CLU, <b><i>Blue</i></b>); and αcrystallin-β (CRYAB, <b><i>Green</i></b>) transcripts in human and mouse studies obtained from ARCHS4, were normalized using the ComBat batch correction algorithm. Expression distributions are represented as a continuous density function, with vertical lines representing the means of each distribution. …”

The results of fitting the parameters of a synaptic connection based on simulated voltage-clamp recordings. by Máté Mohácsi (20469514)

“…Note that the error function had only a single component in this use case, and therefore only single-objective optimization algorithms were compared.…”

Data Sheet 1_Development and validation of a predictive model for postoperative functional recovery in patients with spontaneous intracerebral hemorrhage.pdf by Ziming Jiang (9741389)

“…Background<p>This study aimed to develop and validate a prognostic nomogram for predicting 3-month functional recovery in patients undergoing surgery for spontaneous intracerebral hemorrhage (ICH).…”

Architecture of the recommender system proposed. by Diana Ramírez-Cifuentes (20700054)

“…Our approach modifies the objective function of a content and topology-based recommendation algorithm to maximize the suggestion of harmless accounts for users at risk. …”

Harmless users’ detection models. by Diana Ramírez-Cifuentes (20700054)

“…Our approach modifies the objective function of a content and topology-based recommendation algorithm to maximize the suggestion of harmless accounts for users at risk. …”

Multidimensional Morse/Long-Range Potential Energy Surface and Predicted Rotational Spectra of the CH₄–N₂ Complex by Xiao-Long Zhang (299838)

“…Rovibrational levels and corresponding wave functions were determined using a discrete variable representation and angular finite basis representation method in conjunction with the Lanczos algorithm. …”

Simulation specifications for figure. by Nicholas H. Vitale (20469289)

“…When the fluorophores are subjected to an arbitrary excitation photon flux, we apply the model and compute the evolution of the probability mass function (pmf) for each quantum state comprising a fluorophore’s electronic structure, and hence the dynamics of the resulting emission photon flux. …”

Expected behavior system of ODEs. by Nicholas H. Vitale (20469289)

“…When the fluorophores are subjected to an arbitrary excitation photon flux, we apply the model and compute the evolution of the probability mass function (pmf) for each quantum state comprising a fluorophore’s electronic structure, and hence the dynamics of the resulting emission photon flux. …”

Example fluorophores. by Nicholas H. Vitale (20469289)

“…When the fluorophores are subjected to an arbitrary excitation photon flux, we apply the model and compute the evolution of the probability mass function (pmf) for each quantum state comprising a fluorophore’s electronic structure, and hence the dynamics of the resulting emission photon flux. …”

Fig 6 - by Nicholas H. Vitale (20469289)

Fig 7 - by Nicholas H. Vitale (20469289)

Fig 12 - by Nicholas H. Vitale (20469289)

Architecture of common contact recommendation models. by Diana Ramírez-Cifuentes (20700054)