MERS-CoV Spike Gene Evolution through Codon Bias and Nucleotide Composition: Insights from 1,746 Genomes by Tahir Bhatti (20961974)

“…</p><p dir="ltr">MERS-CoV spike / DPP4 has distinct evolutionary constraints on its receptor-binding domain that is yielding RNA structural constraints mutational pressures without much being optimized to translational optimization.</p><p dir="ltr">Data processed and curation by: TahirHB@Hotmail.Com </p>…”

Automatic Cell Segmentation and Calcium Response Report after Laser-Induced Shockwave by Harvy Chang (22363293)

“…This project developed a Python-based workflow that integrates Cellpose, a machine learning algorithm, with data visualization tools to automate calcium imaging analysis.…”

Generalized Additive Spatial Smoothing (GASS): A Multiscale Regression Framework for Modeling Neighborhood Effects Across Spatial Supports by Taylor M. Oshan (19825257)

“…Through multiscale data-driven spatial smoothing, GASS conducts a form of change of support and therefore also facilitates the incorporation of data from diverse sources. …”

Principal component analysis (PCA) was applied to reduce the dimensionality of the dataset, and hierarchical clustering was then used to identify kinematic subpopulations. by Nancy A. Juárez-Contreras (22794057)

“…Motility parameters are represented as vectors (arrows); therefore, the direction and length of each arrow indicate the sign and magnitude of the correlation. Data from the principal components were then used as input for the hierarchical clustering algorithm. …”

A Machine-Insight-Based Geocomputational Approach to Decode the Complexities of the Restless Landscapes: Toward Integration of Imaginations and Planning Interventions by Nilanjan Bal (21727652)

“…The learning cloud incorporates settlement-wise data in an encoded format to run the XGBoost machine learning algorithm. …”

Supplementary information files for "Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning" by Emeka Abakasanga (14235503)

“…To address fairness concerns, two bias mitigation techniques were applied: a post-processing threshold optimiser and an in-processing reductions method using an exponentiated gradient. …”

Enhancing Healthcare Transparency: Leveraging Machine Learning, GIS Mapping and Power BI for Private Hospital Insurance Claims Analysis by Maryam Binti Haji Abdul Halim (20249544)

“…</li><li><b>Advanced Analytics Tools:</b> Integrated <b>Microsoft Excel, Python</b>, and <b>Google Collab</b> for data processing and automation workflows.</li></ul><p></p>…”

Algal biomusic generation by Joshua M. Lawrence (13724330)

“…To date, most of these efforts have focused on the use of computational algorithms to compose music. Biomusic – music created using biological data – provides an alternative paradigm for the creation of non-human music which can be truly ecocentric. …”

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding by Yuhan Li (1332462)

“…Extensive simulations and a real-world application using the German Family Panel data demonstrate the effectiveness of our proposed methodology.…”

<b>M</b>usic <b>Emo</b>tion Dataset with <b>2496</b> Songs for Music Emotion Recognition (<b>Memo2496)</b> by Tong Zhang (21685478)

“…Adjusted the file structure, now the files on <b>FigShare</b> are placed in folders named ‘<b>Music Raw Data’</b>, ‘<b>Annotations</b>’, <b>‘Features</b>’, and ‘<b>Data Processing Utilities</b>’ to reflect the format of the Data Records section in the manuscript.…”

Food samples with built-in sensors for evaluating robot grippers that can estimate the success or failure of pick-and-place by Takahiro Matsuno (2983743)

“…Experiments using a pneumatic gripper and robot arm validated the algorithm’s ability to identify handling success and failure. …”

S1 File - Single-cell and spatial transcriptomics reveal post-translational modifications in osteosarcoma progression and tumor microenvironment by Yue Cui (212753)

“…(D) Variations in TIP process activation levels. (E) Immunotherapy response predictions based on the TIDE algorithm. …”

Forecasting based on a multivariate autoregressive threshold model (MTAR) with a multivariate Student’s t error distribution: A Bayesian approach by Nicolás Rivera Garzón (20813042)

“…We verify the performance of the proposed algorithm through a simulation study based on three models, calculating the percentage of times the true values of each component of the output process fall within the 95% individual prediction intervals of the predictive distribution. …”

Developing daily gap-filled chlorophyll-a datasets using deep neural networks with co-located environmental variables by Shridhar Sinha (20363194)

“…The Chl-a blooms peak during summer monsoons when the region has high cloud cover, and the fraction of missing Chl-a data is often over 50% during this time. Many methods to gap fill missing Chl-a data rely heavily on the original (gappy) data (methods such as kriging interpolation). …”

Supplementary file 1_AI-powered approaches for enhancing remote sensing-based water contamination detection in ecological systems.pdf by Li Yang (6520)

“…</p>Methods<p>This paper presents a novel AI-powered approach for improving water contamination detection, which incorporates real-time data processing and predictive modeling to identify contamination events and optimize response strategies. …”

Image 3_PDP1 related ferroptosis risk signature indicates distinct immune microenvironment and prognosis of breast cancer patients.pdf by Yufeng Wang (274657)

“…Immune cell infiltration proportions were calculated using CIBERSORT and xCell algorithms. Single-cell data processing and analysis were conducted using “Seurat”, “monocle”, and “iTALK” packages. …”

Image 1_PDP1 related ferroptosis risk signature indicates distinct immune microenvironment and prognosis of breast cancer patients.tif by Yufeng Wang (274657)

“…Immune cell infiltration proportions were calculated using CIBERSORT and xCell algorithms. Single-cell data processing and analysis were conducted using “Seurat”, “monocle”, and “iTALK” packages. …”

Image 2_PDP1 related ferroptosis risk signature indicates distinct immune microenvironment and prognosis of breast cancer patients.jpeg by Yufeng Wang (274657)

“…Immune cell infiltration proportions were calculated using CIBERSORT and xCell algorithms. Single-cell data processing and analysis were conducted using “Seurat”, “monocle”, and “iTALK” packages. …”

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

“…A dropout layer is applied for regularization, and the output is flattened for the fully connected (dense) layer. The processed data is then fed into the PQC, where classical data is encoded into quantum states, followed by ansatz layers with learnable parameters updated using the gradient descent algorithm defined in Eq <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0331870#pone.0331870.e057" target="_blank">8</a>, and finally measured to produce classification probabilities, resulting in the output vector <i>γ</i>.…”

<b>A Multi-Source Web Geocoding Optimization Method Based on Road Constraints</b> by Zengli Wang (21579432)

“…It utilizes results from three popular geocoding platforms (Baidu, Amap, and Tencent) and employs open-source road network data to impose spatial constraints. A rigorous spatial matching and filtering process is designed to eliminate erroneous coordinates and optimize the remaining results. …”