General System and C-K Theory How Can Design Processes be Represented? by Serge Monnot

“…To explore the possible applications of this General System to the field of engineering and architecture, I propose to interpret and optimise a theory that models creativity and design processes in a unified way. …”
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Random forest-based frame work for multi-distress prediction in CRCP: a feature importance approach by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada, Muamer Abuzwidah

“…The proposed framework supports the development of parsimonious, interpretable models that can inform efficient CRCP design and maintenance strategies across varying environmental and operational conditions.…”
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Experimental Investigation of Effects of Vibration upon Elastic and Cohesive Properties of Beds of Wet Sand by S. Alsop, A. J. Matchett, J. M. Coulthard

“…The transmission of sinusoidal vibrations through beds of cohesive particulate solids was measured. Results were interpreted in terms of a critical state model to predict the elastic swelling constant k, and the cohesive stress C. …”
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Bayesian Deep Learning Meets Self-Attention: A Risk-Aware Approach to Advertisement Optimization by Arti Jha, Ashutosh Bhatia, Kamlesh Tiwari

“…Traditional deterministic models fail to capture this uncertainty, necessitating a probabilistic approach that balances predictive accuracy with interpretability. …”
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VdaBSC: A Novel Vulnerability Detection Approach for Blockchain Smart Contract by Dynamic Analysis by Rexford Nii Ayitey Sosu, Jinfu Chen, Edward Kwadwo Boahen, Zikang Zhang

“…However, the accurate interpretation of complex logic and structural information in smart contract code remains a challenge. …”
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The mediation of perceived risk's impact on destination image and travel intention: An empirical study of Chengdu, China during COVID-19. by Xiufang Jiang, Jianxiong Qin, Jianguo Gao, Mollie G Gossage

“…This study constructs a structural equation model of perceived risk's impact on destination image and travel intention for a more nuanced model of the perceived risk mechanism in tourism, based on 413 e-questionnaires regarding travel to Chengdu, China during the COVID-19 pandemic, using the Bootstrap method to analyze suppressing effect. …”
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Machine learning algorithms to predict the tensile strength of novel composite materials by S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati

“…Unlike prior works, this approach systematically removes weakly correlated features to enhance both accuracy and interpretability. Random forest delivered the highest performance (R² = 0.92, mean absolute error (MAE) = 1.64), outperforming conventional and ensemble models. …”
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Sur le traité des passions de Hobbes : commentaire du chapitre VI du Léviathan by Franck Lessay

“…Starting by an examination of the text’s structure and basic vocabulary (English and Latin), it moves on to an assessment of the foundational value of Hobbes’s theory of passions in his ethics and politics (religion included). …”
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ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…Compared with the traditional methods involving manual peak boundary determination combined with weighted average or Gaussian function fitting methods, this approach offered higher fitting efficiency, reduced human intervention, and lower calculation error.Through a comparative analysis of pulse neutron oxygen activation data processing and interpretation in well X (CO2 injection well) of the M oilfield, the established ACO-NM optimization model could effectively realize the bimodal separation of overlapping peaks in tubing and casing spaces. …”
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Political Rivalry in the Light of Leigh van Halen’s Red Queen Hypothesis by Jarosław Nocoń

“…The Red Queen model appears to be a useful tool for interpreting political competition phenomena and analysing interactions between political entities. …”
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An application of nowcasting methods: Cases of norovirus during the winter 2023/2024 in England. by Jonathon Mellor, Maria L Tang, Emilie Finch, Rachel Christie, Oliver Polhill, Christopher E Overton, Ann Hoban, Amy Douglas, Sarah R Deeny, Thomas Ward

“…<h4>Methods</h4>To nowcast the real-time case burden of norovirus a generalised additive model (GAM), semi-mechanistic Bayesian joint process and delay model "epinowcast", and Bayesian structural time series (BSTS) model including syndromic surveillance data were developed. …”
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La concepción de las teorías empíricas de Suppes by José Luis Rolleri

“…I explain, then, Suppes views concerning the use of a logical concept of model in the factual interpretation of theories. …”
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ATTENUATION OF SEISMIC WAVES IN THE LITHOSPHERE OF THE NORTHERN PART OF THE BASIN AND RANGE PROVINCE by А. А. Dobrynina

“…Thus, there are grounds to conclude that the change in the slope of the curve showing dependence of δ from the depth is related to the deep structure of the medium. The abrupt changes of δ and n are associated with the velocity discontinuities of the medium. …”
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AI-Based Linguistic Frameworks for Monitoring Physical Health, Sports Performance, and Educational Contexts by Rakhimov Vladimir, Saidnazarov Ulugbek, Mustafaev Ispandiyar

“…Drawing on data from network-based visualizations and structural equation models in multimodal datasets, we identify a long tail of embedded constructs and relational dependencies in which a total of 76 unique conceptual nodes operate, including predictors such as lexical calibration, contextual sentiment attribution, and semantic load dispersion. …”
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Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods by Yasitha Alahakoon, Hirushan Sajindra, Ashen Krishantha, Janaka Alawatugoda, Imesh U. Ekanayake, Upaka Rathnayake

“…After identifying the best-performing model, Shapley Additive Explanations (SHAP) were employed to interpret its predictions. …”
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System of Subjective Deixis Means in B.L. Pasternak’s Early Prose by S. A. Soloveva

“…Pasternak, the montage of which is manifested in the alternation of points of view, the nonlinearity of the structure. This complicates the process of the reader's interpretation. …”
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A Novel PSO-Based Optimized Lightweight Convolution Neural Network for Movements Recognizing from Multichannel Surface Electromyogram by Xiu Kan, Dan Yang, Le Cao, Huisheng Shu, Yuanyuan Li, Wei Yao, Xiafeng Zhang

“…With the purpose of reducing the structural complexity of the deep neural network, the designed convolution neural network model is mainly composed of three convolution layers and two full connection layers. …”
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Using Generative Adversarial Networks to Translate Microresistivity Image Logs of Carbonates Into Synthetic Core Images With Accurate Dunham Textures by Saira Baharuddin, Cédric M. John

“…The supervised pix2pixHD model trained using concatenated FMS pad images with a batch size of 4 produces the most realistic core images: these have low Root Mean Square Error, high Peak Signal to Noise Ratio and high Structural Similarity Index Method values when compared to the ground truth core images. …”
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Examining the Multivariate Relationship Between Emotional Intelligence and Adjustment to College among First-Year College Students Using Canonical Correlation Analysis by Joshua Watson, Allison Joyal, Justen Schroeder

“…Interpretation of the structure coefficients indicated that students’ ability to process and effectively utilize their and others’ emotions supports positive academic adjustment experiences, healthy interpersonal relationships, regulated emotional and physical states, lower psychological discomfort, and a generally positive overall college experience. …”
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Examining the Multivariate Relationship Between Emotional Intelligence and Adjustment to College among First-Year College Students Using Canonical Correlation Analysis by Joshua Watson, Allison Joyal, Justen Schroeder

“…Interpretation of the structure coefficients indicated that students’ ability to process and effectively utilize their and others’ emotions supports positive academic adjustment experiences, healthy interpersonal relationships, regulated emotional and physical states, lower psychological discomfort, and a generally positive overall college experience. …”
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