Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice by Yiyong Zhao (21466062)

“…This table delineates the results of gene expression clustering using the MFUZZ algorithm for three super-hybrid rice varieties, namely LYP9, Y900, and XLY900, along with their progenitor strains. …”

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

“…</p><p dir="ltr">- `group_code`: short group code </p><p dir="ltr"> - e.g., `Normal`, `HTN`, `DM`, `HTN+DM`, `CRC`, `LungCA`, `PancreasCA`.…”

archive.zip by Tasneem Fatima (21976946)

“…The dataset extracted from the archive consists of a large number of labeled images of wheat grains, organized in directories such as <code>wheat_for_cnn</code>, with filenames reflecting numerical categories (e.g., <code>10_1.jpg</code>, <code>100_5.jpg</code>, <code>200_0003.jpg</code>). …”

Performance evaluation of SpaVGN on melanoma ST dataset. by Haiyan Wang (25821)

“…Color-coded regions correspond to different tissue domains. …”

Collaborative Research: SCIPE: Interdisciplinary Research Support Community for Artificial Intelligence and Data Sciences by Sanmukh Kuppannagari (21798863)

“…<br><br>To achieve 10x-100x reduction in DNN energy consumption, a holistic approach is pursued, which encompasses: (1) new circuit designs that leverage emerging CMOS+X technologies; (2) a novel near-memory architecture in which processing elements are seamlessly integrated with traditional Dynamic RAM (DRAM); (3) novel 3D-matrix-based per-layer DNN computations and data-layout optimizations for kernel weights; and (4) algorithms and hardware/software co-design tailored for near-real-time DNN-based signal classification in next-generation wireless systems. …”

Monotone Cubic B-Splines with a Neural-Network Generator by Lijun Wang (176511)

“…We evaluate our method against several existing methods, some of which do not use the monotonicity constraint, on some monotone curves with varying noise levels. We demonstrate that our method outperforms the other methods, especially in high-noise scenarios. …”

Massive Mixed Models in Julia by Phillip M. Alday (2814652)

“…<p dir="ltr">Traditional approaches to mixed effects models using generalized least squares or expectation-maximization approaches struggle to scale to datasets with many thousands of observations and hundreds of levels of a single blocking variable. Special casing of nesting or crossing of random effects is required to achieve acceptable computational performance, but this special casing often makes it very difficult to handle less-than-idealized cases, such partial crossing or multiple levels of nesting. …”

Climate anomalies due to Cerrado native vegetation loss by Argemiro Leite-Filho (10283801)

“…</li></ul><p dir="ltr"><b>Code/software</b></p><p dir="ltr">To analyze the CSV files in your dataset, you can use various software options, such as R and Microsoft Excel. …”