Improving the calibration of an integrated CA-What If? digital planning framework by CA What If? (21381170)

“…planning support system (PSS) sub-model to generate and analyse three representative built-up development scenarios. …”

<b>The abundance of ground-level atmospheric ice-nucleating particles and aerosol properties </b><b>in the North Slope of Alaska</b> by Aidan Pantoya (19416546)

“…An individual method-oriented data abstract is available in metadata for each output sub-folder. All Python codes used for processing input data and generating output data are paired with the readme files and archived in folders. …”

Figure 1 from Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States by Runpu Chen (14942572)

“…The black line is the constructed principal tree, and the three axes represent the leading components generated by the DDRTree algorithm (denoted as DDRTree 1–3). …”

Figure 8 from Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States by Runpu Chen (14942572)

“…<b>A,</b> Visualization analysis showed the tumor sample distribution in the space spanned by the two leading components (denoted as DDRTree 1–2) generated using the DDRTree algorithm. The black line represents the constructed principal tree. …”

Table & Figure.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks by NORLIZA BINTI MOHAMED (20739875)

“…Supplementary Materials</p> <p><br></p> <p>Experimental protocols and study design details</p> <p><br></p> <p>Questionnaires, surveys, or rubrics used in the study</p> <p><br></p> <p>Educational materials related to HOTS-based mathematics tasks</p> <p><br></p> <p><br></p> <p><br></p> <p>3. Code and Algorithms (if applicable)</p> <p><br></p> <p>Scripts for EEG signal processing and analysis</p> <p><br></p> <p>Machine learning or statistical modeling scripts</p> <p><br></p> <p>Any software implementation used to analyze brainwave patterns</p> <p><br></p> <p><br></p> <p><br></p> <p>4. …”

Raw Data EEG.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks by NORLIZA BINTI MOHAMED (20739875)

“…Supplementary Materials</p> <p><br></p> <p>Experimental protocols and study design details</p> <p><br></p> <p>Questionnaires, surveys, or rubrics used in the study</p> <p><br></p> <p>Educational materials related to HOTS-based mathematics tasks</p> <p><br></p> <p><br></p> <p><br></p> <p>3. Code and Algorithms (if applicable)</p> <p><br></p> <p>Scripts for EEG signal processing and analysis</p> <p><br></p> <p>Machine learning or statistical modeling scripts</p> <p><br></p> <p>Any software implementation used to analyze brainwave patterns</p> <p><br></p> <p><br></p> <p><br></p> <p>4. …”

<b>AutoMated tool for Antimicrobial resistance Surveillance System version 3.1 (AMASS3.1)</b> by Chalida Rangsiwutisak (10501496)

“…</li><li>We have updated SaTScan codes for AnnexC: Cluster signals and report layouts.…”

Estimating individual live image motion to describe heart tube shaping as a continuous process. by Morena Raiola (22439390)

“…<p>(A), MIRT algorithm was applied frame-by-frame (I(ti)-I(ti + 1)), extracting the set of deformation fields (T1, T2, …, TN) underlying the live images. …”

Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies by Huiying Huang (490768)

“…Dead cells are identified via watershed algorithms, and all cells are segmented using Cellpose, an AI-based tool. …”

A phylogenetic network based on the concatenated alignment of sequences of three loci (a fragment of the actin gene, a fragment of the nitrate reductase gene, and the nrDNA ITS reg... by Lauren Goldspink (813789)

“…<p>The network was generated using the NeighborNet algorithm in the software SplitsTree4. …”

Phenotyping of children with abdominal pain. by Kazuya Takahashi (69459)

“…</b> Scatter plots based on three new variables generated by unsupervised Uniform Manifold Approximation and Projection (UMAP). …”

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

“…Supplementary Tables</p><p dir="ltr">The analysis generates several supplementary tables stored in ./3Spatial_result/5sp_tables/<b> (after you run the code)</b>:</p><p dir="ltr">Table S1. …”

Research data for paper "Loss shaping enhances exact gradient learning with Eventprop in Spiking Neural Networks" by Thomas Nowotny (4462033)

“…<p dir="ltr">The data in this repository was generated in the context of training spiking neural networks for keyword recognition using the Eventprop algorithm. …”

Processed InShaPe dataset: Large-scale multi-shape phase retrieval dataset for PBF-LB/M laser beam shaping SLM phase mask estimation. by Shengyuan Yan (22248700)

“…Software. https://doi.org/10.6084/m9.figshare.27650946.v2</p><p><br></p><p dir="ltr">This simulated dataset containing six beam shapes is used for training and testing on the complex forward path application, PBF-LB/M beam shaping system, in our paper "Efficient Gerchberg-Saxton algorithm deep unrolling for phase retrieval with complex forward path". …”

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

“…Uniform Manifold Approximation and Projection (UMAP) visualization of cell distributions generated by five different algorithms. (f). Spatial trajectory analysis results from five methods, showing inferred developmental paths between tissue regions. …”

DataSheet1_Fast and precise dose estimation for very high energy electron radiotherapy with graph neural networks.PDF by Lorenzo Arsini (15083796)

“…</p>Discussion<p>Notably, the model offers three to six orders of magnitude increased speed over full MC simulations and fast MC codes, generating dose distributions in milliseconds on a single GPU. …”

Table 1_Development of an alkaliptosis-related lncRNA risk model and immunotherapy target analysis in lung adenocarcinoma.docx by Xiang Xiong (1810234)

“…In this study, we constructed a model related to alkaliptosis-associated long non-coding RNAs (lncRNAs) and developed a prognosis-related framework, followed by the identification of potential therapeutic drugs.…”