Table 1_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.xlsx by Ibukun John Abulude (21084308)

“…Here, we overlapped attack phase genes from B. bacteriovorus transcriptomic data sets and from transposon sequencing data sets to generate a set of proteins that are both expressed at the attack phase and are necessary for predation, which we termed Attack Phase Predation-Essential Proteins (AP-PEP). …”

database of normalized water temperature by Yiming Li (20581391)

Understanding Electron Beam-Induced Chemical Polymerization Processes of Small Organic Molecules Using Operando Liquid-Phase Transmission Electron Microscopy by Jun-Yeong Yoon (5801606)

“…Here, we employ <i>operando</i> liquid-phase transmission electron microscopy supported by density functional theory calculations and a mathematical random search algorithm to rationalize and quantify electron beam-induced processes at the molecular level. …”

Understanding Electron Beam-Induced Chemical Polymerization Processes of Small Organic Molecules Using Operando Liquid-Phase Transmission Electron Microscopy by Jun-Yeong Yoon (5801606)

“…Here, we employ <i>operando</i> liquid-phase transmission electron microscopy supported by density functional theory calculations and a mathematical random search algorithm to rationalize and quantify electron beam-induced processes at the molecular level. …”

Understanding Electron Beam-Induced Chemical Polymerization Processes of Small Organic Molecules Using Operando Liquid-Phase Transmission Electron Microscopy by Jun-Yeong Yoon (5801606)

“…Here, we employ <i>operando</i> liquid-phase transmission electron microscopy supported by density functional theory calculations and a mathematical random search algorithm to rationalize and quantify electron beam-induced processes at the molecular level. …”

IUTF Dataset(Enhanced): Enabling Cross-Border Resource for Analysing the Impact of Rainfall on Urban Transportation Systems by Xuhui Lin (19505503)

“…</p><h2>Data Structure</h2><p dir="ltr">The dataset is organized into four primary components:</p><ol><li><b>Road Network Data</b>: Topological representations including spatial geometry, functional classification, and connectivity information</li><li><b>Traffic Sensor Data</b>: Sensor metadata, locations, and measurements at both 5-minute and hourly resolutions</li><li><b>Precipitation Data</b>: Hourly meteorological information with spatial grid cell metadata</li><li><b>Derived Analytical Matrices</b>: Pre-computed structures for advanced spatial-temporal modelling and network analyses</li></ol><h2>File Formats</h2><ul><li><b>Tabular Data</b>: Apache Parquet format for optimal compression and fast query performance</li><li><b>Numerical Matrices</b>: NumPy NPZ format for efficient scientific computing</li><li><b>Total Size</b>: Approximately 2 GB uncompressed</li></ul><h2>Applications</h2><p dir="ltr">The IUTF dataset enables diverse analytical applications including:</p><ul><li><b>Traffic Flow Prediction</b>: Developing weather-aware traffic forecasting models</li><li><b>Infrastructure Planning</b>: Identifying vulnerable network components and prioritizing investments</li><li><b>Resilience Assessment</b>: Quantifying system recovery curves, robustness metrics, and adaptive capacity</li><li><b>Climate Adaptation</b>: Supporting evidence-based transportation planning under changing precipitation patterns</li><li><b>Emergency Management</b>: Improving response strategies for weather-related traffic disruptions</li></ul><h2>Methodology</h2><p dir="ltr">The dataset creation involved three main stages:</p><ol><li><b>Data Collection</b>: Sourcing traffic data from UTD19, road networks from OpenStreetMap, and precipitation data from ERA5 reanalysis</li><li><b>Spatio-Temporal Harmonization</b>: Comprehensive integration using novel algorithms for spatial alignment and temporal synchronization</li><li><b>Quality Assurance</b>: Rigorous validation and technical verification across all cities and data components</li></ol><h2>Code Availability</h2><p dir="ltr">Processing code is available at: https://github.com/viviRG2024/IUTDF_processing</p>…”

Structure of optimized model parameters in the high-dimensional cases. by Kevin J. Wischnewski (21354521)

Distributions of the goodness-of-fit (GoF) values for all tested approaches and parameter spaces. by Kevin J. Wischnewski (21354521)

Example of the results of the model fitting in the 103-dimensional parameter space. by Kevin J. Wischnewski (21354521)

Model-based sex classification accuracies. by Kevin J. Wischnewski (21354521)

Distributions of optimized coupling parameters and median FC strengths for males and females. by Kevin J. Wischnewski (21354521)

Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf by Gabriella Yakemow (20137758)

“…The objective of this study was to identify structural and functional neural changes in patients with PTSD that may contribute to the future development of AD.…”

Reliability of the optimized frequency parameters and sFC matrix edges in the high-dimensional cases as well as of the GoF. by Kevin J. Wischnewski (21354521)

Reliability of the optimized model parameters of delay , coupling and noise intensity . by Kevin J. Wischnewski (21354521)

Mathematical modeling for the efficiency function of the Retiro small hydroelectric power plant turbine-generator set by Francisco Wellington Martins da Silva (19868345)

“…The Hessian matrix technique was also used to verify the critical points of the function. The critical point corresponding to a water head of 11.47 meters and a turbine flow of 145.1 m³/s presented the highest operational efficiency. …”

3D analysis of the perforated pebbles and the perforations. by Talia Yashuv (12883867)

Data Sheet 1_Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.pdf by Elena Pastorelli (7024235)

“…A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …”

SPSS Data File for Sample 1. by Mariusz Zięba (21369920)

“…The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. …”

Indices of fit for two three-factor models. by Mariusz Zięba (21369920)

“…The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. …”

SPSS Data File for Sample 3. by Mariusz Zięba (21369920)

“…The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. …”