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1461
A Clustering Algorithm Based on the Detection of Density Peaks and the Interaction Degree Between Clusters
Published 2025-03-01“…In the partitioning phase, the local densities of the data in all dimensions are calculated using kernel density estimation, the density curves are constructed based on the densities of all the data, and the peaks of the density curves are used as the benchmark to construct a Kd-Tree to search for the data points that are closest to each peak to partition the initial sub-clusters. …”
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Enhancing physician scientists’ skills in Geographic Information Systems: insights from an interactive workshop
Published 2025-08-01“…Thirty-three participants were trained in core GIS competencies, including software selection, data visualization and spatial analysis using Quantum GIS (QGIS). …”
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1463
THERMODYNAMIC STUDIES ON THE INTERACTION BETWEEN DODECYL TRIMETHYL AMMONIUM BROMIDE AND HISTONE H A
Published 1994-06-01“…The data are used to determine the free energy from the Wyman binding potential theoretical model, and the enthalp y of interaction from the temperature dependence of the equilibrium constants using the van't Hoff relation. …”
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1464
Design of Interactive Vocal Guidance and Artistic Psychological Intervention System Based on Emotion Recognition
Published 2022-01-01“…This paper uses the vocal music emotion recognition algorithm to first train the interactive recognition network, in which the input is a row vector composed of different vocal music characteristics, and finally recognizes the vocal music of different emotional categories, which solves the problem of low data coupling in the artistic psychological intervention system. …”
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1465
The Interactive Effects of Fat Calorie Proportion Under Different Dietary Calorie Levels on Depression
Published 2025-01-01“…Binary logistic regression was used to study the interactive effects of fat calorie proportion under different dietary calorie levels on depression. …”
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1466
HyperCell: A Bio-inspired Design Framework for Real-time Interactive Architectures
Published 2018-01-01“…But, in this research, refers to the use of data storage, parametric design application, and physical computing for developing informed architectural designs. …”
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1467
Quantifying Upper-Arm Rehabilitation Metrics for Children through Interaction with a Humanoid Robot
Published 2012-01-01“…In addition, incorporating prior knowledge regarding exercise data, physical therapeutic metrics, and novel approaches, a mapping to therapist instructions can be created allowing robotic feedback and intelligent interaction. …”
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1468
IRGL-RRI: interpretable graph representation learning for plant RNA–RNA interaction discovery
Published 2025-06-01“…The model enriches sample information by extracting features of different bases from plant RNA data and reconstructs these features using an algorithmic hierarchy approach to capture more complex patterns. …”
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1469
Clustering, Pathway Enrichment, and Protein-Protein Interaction Analysis of Gene Expression in Neurodevelopmental Disorders
Published 2018-01-01“…We have used MeV application to cluster the raw data using distance metric Pearson correlation coefficient. …”
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1470
The effect of education based on interactive augmented reality technology on students' creativity and problem solving
Published 2024-09-01“…After the end of the sessions in the experimental and control groups, the creativity and problem-solving questionnaire test was again implemented as a post-test on both groups and after collecting the data was analyzed. Descriptive and inferential statistics from SPSS statistical software were used for data analysis. …”
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1471
Community science as a potential tool to monitor animal demography and human-animal interactions
Published 2025-01-01“…We used a case study of an individually marked population of mute swans Cygnus olor, to test the reliability of community scientist data for quantifying self-reported interactions. …”
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Advancing Nanomedicine Through Electron Microscopy: Insights Into Nanoparticle Cellular Interactions and Biomedical Applications
Published 2025-03-01“…Combining electron microscopy with techniques like flow cytometry improves the study of nanoparticle interactions by offering both ultrastructural and quantitative data, enabling accurate analysis of nanoparticle uptake and behavior in cancer cells. …”
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Ocean Emission Effects on Aerosol-Cloud Interactions: Insights from Two Case Studies
Published 2010-01-01“…To address these limitations, a second case was investigated using remote sensing data over the less polluted Southern Ocean region. …”
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1476
Untangling the Furball: A Practice Mapping Approach to the Analysis of Multimodal Interactions in Social Networks
Published 2025-04-01“…This article introduces the analytical approach of practice mapping , using vector embeddings of network actions and interactions to map commonalities and disjunctures in the practices of social media users, as a framework for methodological advancement beyond the limitations of conventional network analysis and visualization. …”
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1477
Performance of Apriori Algorithm for Detecting Drug–Drug Interactions from Spontaneous Reporting Systems
Published 2025-05-01“…A real-world application using 2024 VAERS data further illustrates the consequences of unmeasured bias, including a potentially spurious association between COVID-19 vaccination and infection. …”
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Determination of dominant frequency of resting-state brain interaction within one functional system.
Published 2012-01-01“…In this study, we first quantitatively evaluated the interferences of multiple systemic physiological noises and the motion artifact by using simulated data. We then proposed a functional system dependent and frequency specific analysis method to solve the problem by introducing anatomical priori information on the functional system of interest. …”
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1480
Structure-Based Deep Learning Framework for Modeling Human–Gut Bacterial Protein Interactions
Published 2025-02-01“…<b>Methods:</b> This study presents a deep learning-based framework for predicting PPIs between human and gut bacterial proteins using structural data. The framework leverages graph-based protein representations and variational autoencoders (VAEs) to extract structural embeddings from protein graphs, which are then fused through a Bi-directional Cross-Attention module to predict interactions. …”
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