Data Sheet 1_A novel approach for proton therapy pencil beam scanning patient specific quality assurance using an integrated detector system and 3D dose reconstruction.pdf by Joseph J. Bateman (22512482)

“…The approach offers advantages over current methods but requires resolution of energy calibration offsets and detector limitations before clinical implementation. …”

Globus Compute: Federated FaaS for Integrated Research Solutions by eRNZ Admin (6438486)

“…</p><p dir="ltr">Globus Compute [2] is a Function-as-a-Service platform designed to provide a scalable, secure, and simple interface to HPC resources. Globus Compute implements a federated model via which users may deploy endpoints on arbitrary remote computers, from the edge to high performance computing (HPC) cluster, and they may then invoke Python functions on those endpoints via a reliable cloud-hosted service. …”

Data Sheet 1_Platelet bioenergetics correlate with skeletal muscle respiration in a murine model of type II diabetes.docx by Mia S. Wilkinson (22617389)

“…This work lays the conceptual and methodological foundation for future studies in human metabolic diseases where muscle bioenergetic dysfunction is implicated but current methods are not implementable for clinical surveillance. …”

Table 1_An NGS-assisted diagnostic workflow for culture-independent detection of bloodstream pathogens and prediction of antimicrobial resistances in sepsis.docx by David Pinzauti (22152886)

“…This study evaluated the diagnostic performance of PISTE™ technology, an NGS-based diagnostic workflow combining full-length 16S rRNA gene sequencing and metagenomic analysis for the diagnosis of circulating bacteria in sepsis.</p>Methods<p>In this prospective, multicenter, phase IIa proof-of-concept study, adult patients with suspected sepsis were enrolled from four hospitals in Athens, Greece. …”

Efficient Nonparametric Estimation of 3D Point Cloud Signals through Distributed Learning by Guannan Wang (2209297)

“…To evaluate the efficacy of the proposed NPD method, we conduct simulation studies comparing it with several global nonparametric estimation methods used to smooth the 3D data. …”

Data Sheet 1_Role of intercellular interactions on single cell and population level responses: considerations for multicellular bioreporter design.docx by Douglas Lin (10309772)

“…However, intercellular communication is a well-known natural phenomenon that has been associated with sensitive responses to certain chemical stimuli, yet incorporation of intercellular communication into bioreporter design is exceedingly rare and the effect of intercellular signaling on single-cellular and population level responses has not been explicitly characterized before.</p>Methods<p>In this work, a multicellular simulator implementing the Gillespie algorithm and compatible with Virtual Cell-designed networks is created and used to demonstrate nuances to multicellular stochastic simulations. …”

Table 1_Role of intercellular interactions on single cell and population level responses: considerations for multicellular bioreporter design.xlsx by Douglas Lin (10309772)

“…However, intercellular communication is a well-known natural phenomenon that has been associated with sensitive responses to certain chemical stimuli, yet incorporation of intercellular communication into bioreporter design is exceedingly rare and the effect of intercellular signaling on single-cellular and population level responses has not been explicitly characterized before.</p>Methods<p>In this work, a multicellular simulator implementing the Gillespie algorithm and compatible with Virtual Cell-designed networks is created and used to demonstrate nuances to multicellular stochastic simulations. …”

Comprehensive Fluid and Gravitational Dynamics Script for General Symbolic Navier-Stokes Calculations and Validation by Stylianos Touloumidis (19938747)

“…It provides a flexible foundation on which theoretical assumptions can be validated, and practical calculations performed. Implemented in Python with symbolic calculations, the script facilitates in-depth analysis of complex flow patterns and makes advanced mathematical computations more accessible. …”

World Heritage documents reveal persistent gaps between climate awareness and local action by Yang Chen (20756166)

“…The analysis section includes a GLM model implemented in R, along with evaluation tools such as correlation heatmaps, ICC agreement analysis, and MCC-based binary classification assessment. …”

Data files accompanying our PLoS One publication by Peter Hinow (21810605)

“…The videos were digitized and the positional data were saved in .xlsx or .csv format, respectively. The python codes contain the numerical implementations of our mathematical models.…”

Knowledge Graph validation using SHACL Shapes by Ángel Iglesias Préstamo (19745767)

“…Leveraging Rust’s performance and safety features, rudof provides efficient validation tools and Python bindings for integration with data science workflows. …”

OHID-FF dataset for forest fire detection and classification by xin chen (20496938)

“…If you add scripts or tools that change dataset paths or formats, please update `YOLODataset/dataset.yaml` and this README accordingly.…”

Data from: Evaluating UAV captured RGB and multispectral imagery as a proxy for visual rating of leaf spot in cultivated peanut by Cassondra Newman (22079444)

“…Feature importance and post hoc proof of concept studies are conducted to further evaluate the new digital methods. …”

Supplementary file 3_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…This study addresses this gap by creating an algorithmic approach to optimise indicator selection.</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 2_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…This study addresses this gap by creating an algorithmic approach to optimise indicator selection.</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 6_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…This study addresses this gap by creating an algorithmic approach to optimise indicator selection.</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 1_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…This study addresses this gap by creating an algorithmic approach to optimise indicator selection.</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 4_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…This study addresses this gap by creating an algorithmic approach to optimise indicator selection.</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 5_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…This study addresses this gap by creating an algorithmic approach to optimise indicator selection.</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Table 4_The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings.docx by Esther Kok (716077)

“…We explored the applicability of hyperspectral imaging and machine learning for dietary assessment of home-prepared meals, by building a proof-of-concept, which automatically detects food ingredients inside closed sandwiches.…”