Fig 7 - by Xiaogang Li (299205)

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The normalized acoustic resistance (blue lines) and reactance (red dotted lines) of the optimization case in Fig 7. by Xiaogang Li (299205)

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Cross section of the metagrating and the distribution of effective homogeneous layers. by Xiaogang Li (299205)

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The real GWAS data for the seven common complex diseases. by Liyan Sun (760586)

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MD5 signature for a whole file by Paul A. Gagniuc (1818325)

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Generation of a Position Weight Matrix (PWM) from a set of infected PE files by Paul A. Gagniuc (1818325)

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A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

<b>Program Code and Data Integration Scheme</b>.docx by Jinsong XU (21768554)

“…<p dir="ltr">To address inefficiencies and trust deficits in cross-border credit recognition for Sino-Foreign Cooperative Education (SFCE), this study <a href="" target="_blank">designed and implemented a dual-layer blockchain credit bank (BCB) system</a>,A hybrid architecture integrated a public chain (<i>Polygon zkEVM</i>) for transparent credential hashing and a private consortium chain (<i>Hyperledger Fabric</i>) for GDPR-compliant raw data storage.Conduct simulation experiments for the algorithm described in the paper, including the main program code.…”

Model’s measure methods. by Songsong Wang (8088293)

“…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…”

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.…”

MD5 signatures from specific regions from a set of files by Paul A. Gagniuc (1818325)

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Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. by Gursimran Singh (575288)

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ICD-10 codes for MACE definition. by Gilson Yuuji Shimizu (19837946)

Elements: Multiparticle collision dynamics simulations of mesoscale hydrodynamic interactions in complex soft materials and environments by Michael Howard (19421473)

Transition from static to dynamic malware detection by Paul A. Gagniuc (1818325)

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Data Sheet 1_Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model.docx by Pan Zhang (206408)

“…Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. …”

Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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<b>The Negative Digital Root Implemented as a Mathematica Standalone Function</b> by Paul F. Marrero Romero (17450601)

The code for sample size calculation. by Ying Zhou (25031)