MATLAB code to generate the figure in S2 Appendix. by Francesco Colussi (22421582)

Summary of codes generated from MAXQDA software. by Awole Seid (3839965)

Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)

Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)

ActAs and CoT prompt strategies do not result in decreased error rate for tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

Self-correction prompt strategy results in decreased error rate for all tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

fileCont prompt strategy results in decreased error rate for some tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Codebook to showcase codes, sub-categories, and categories. by Suyasha Adhikari (14498207)

Node coding process. by Jun Zhao (59250)

<b>Data and R Code for Reproducibility of </b><i>"Forest productivity decreases in response to recent changes in vegetation structure and climate in the latitudinal extremes of the... by Julián Tijerín-Triviño (20377161)

AI KRegression by CHIN-CHENG CHU (20718575)

Correlation between each MSTM and each generative parameter. by Fabiano Baroni (234173)

“…<p>The absolute value of the Spearman correlation coefficient between each MSTM and each generative parameter is color-coded for the single-scale (A) and dual-scale (B) synthetic spike train families. …”

Next-generation sequencing analyses of parental and mutant MeV stocks documenting the stability of the introduced mutations. by Lorellin A. Durnell-Bettis (22656332)

Average number of attempts required to generate a CFP between the starting sequence and the target. by Brian J. Miller (17668302)

Flowchart for GR codes. by R. Sakthivel (2589547)

“…This work aims to increase compression ratio by further encoding the unary part of the Golomb Rice (GR) code so as to decrease the amount of bits used, it mainly focuses on optimizing the hardware for encoding side. …”

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Settings for ABC-SMC code. by Román Zapién-Campos (9592478)

G R code algorithm. by R. Sakthivel (2589547)

“…This work aims to increase compression ratio by further encoding the unary part of the Golomb Rice (GR) code so as to decrease the amount of bits used, it mainly focuses on optimizing the hardware for encoding side. …”

Proxy FC provides limited explanatory power in understanding empirical FC patterns. by Michael Forrester (6165878)