Data-driven discovery of the design rules for considering the curing deformation and the application on double-double composites by Yizhuo Gui, Hongwei Song, Jinglei Yang, Cheng Qiu

“…Another one is the symbolic regression model, as an explainable ML technique, to quantitatively evaluate this connection. With the training data generated from the robust numerical simulation, it is found that a proper asymmetry is the key intrinsic factor that makes a smaller PID as it will counteract with the contributions of other extrinsic mechanisms. …”
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Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Tra... by Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao

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THE METHODS OF GEOGRAPHICAL DEMARCATION, CLOUDINESS FIELDS CLASSIFICATION AND SYNOPTICAL PROCESSES OF THE CAUCASUS AS WELL AS ADJACENT TERRITORIES ACCORDING TO THE DATA OF ARTIFICI... by M. R. Vatiashvili

“…As a quantitative indicator of their macrostructure peculiarities the numbers of cloudiness types (cloud amount), which are underlain into further improvement of the current methods of cloudiness fields and synoptical processes, methods of geographical demarcation, short-run diagnosis and the forecast of evolution of cloudiness and precipitation fields, have been applied. …”
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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

“…The research proves that only a hybrid approach, combining "what" (quantitative data) and "why" (qualitative data), allows for a complete and deep understanding of the modern market. …”
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Applying Structural Equation Modeling to Second-language (L2) Research: Key Concepts and Fundamental Reconsiderations by حسام الدین قنبر

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Enabling discovery of the social determinants of health: using a specialized lens to see beyond the surface by Cynthia Sheffield, Gisela Butera, Dera Tompkins, Vence Bonham, Deborah Duran, Kimberly Middleton, Corina Galindo

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The Young’s Modulus as a Mechanical Biomarker in AFM Experiments: A Tool for Cancer Diagnosis and Treatment Monitoring by Stylianos Vasileios Kontomaris, Anna Malamou, Andreas Stylianou

“…This review explores recent advances in data processing for atomic force microscopy (AFM) nanoindentation on soft samples, with a focus on “apparent” or “average” Young’s modulus distributions used for cancer diagnosis and treatment monitoring. …”
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A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective by Masoud Zafarzadeh, Magnus Wiktorsson, Jannicke Baalsrud Hauge

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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…This study employs wavelet coherence analysis to quantitatively investigate subsurface hydrological process connectivity and its spatiotemporal evolution patterns, providing a reference for analyzing and simulating hydrological and soil processes in mountainous small watersheds.MethodsDaily-scale soil moisture and rainfall observation data spanning three hydrological years (May 2011—May 2014) from the Shale Hills Critical Zone Observatory (Pennsylvania, USA) were utilized. …”
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ISO 9001 and Business Performance: A Quantitative Study in Portuguese Organizations by Alcina Augusta de SENA PORTUGAL DÍAS, Iñaki HERAS-SAIZARBITORIA

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Routing Protocols in Underwater Acoustic Sensor Networks: A Quantitative Comparison by Guangjie Han, Na Bao, Li Liu, Daqiang Zhang, Lei Shu

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Qualitative and quantitative approaches of occupational risks agents in a Brazilian facilit by Janete C. G. Carneiro, Alice S. Alves, Demerval L. Rodrigues, Denise S. Levy, Gian-Maria A. A. Sordi

“…The objective of this paper was to carry out the basic characterization of a Brazilian radioisotope production facility through ample knowledge of the workplace, workforce, task performed and identification and evaluation of occupational risk agents in the workplace. The data analysis comprised a qualitative or quantitative approaches based on subjective information obtained by questionnaire, interview and observations about workplace, workforce and risk agents. …”
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Quantitative multiplexed analysis of gene and protein expression patterns in Yarrowia lipolytica by Erin Bredeweg, Galya Orr, Dehong Hu

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DETERMINISTIC CHARACTER OF CHANGES OF THE CASPIAN SEA LEVEL AND ITS QUANTITATIVE PARAMETERS by U. G. Magomedbekov

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A Safe Framework for Quantitative In Vivo Human Evaluation of Image Guidance by Piper C. Cannon, James M. Ferguson, E. Bryn Pitt, Jason A. Shrand, Shaan A. Setia, Naren Nimmagadda, Eric J. Barth, Nicholas L. Kavoussi, Robert L. Galloway, S. Duke Herrell, Robert J. Webster

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Quantitative analysis of immune response and erythropoiesis during rodent malarial infection. by Martin R Miller, Lars Råberg, Andrew F Read, Nicholas J Savill

“…Malarial infection is associated with complex immune and erythropoietic responses in the host. A quantitative understanding of these processes is essential to help inform malaria therapy and for the design of effective vaccines. …”
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Radiomic-based approaches in the multi-metastatic setting: a quantitative review by Caryn Geady, Hemangini Patel, Jacob Peoples, Amber Simpson, Benjamin Haibe-Kains

“…Methods We conducted a comprehensive literature search to identify methods for integrating data from multiple lesions in radiomic analyses. …”
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QUANTITATIVE ASSESSMENT OF POPULATIONS, SUBPOPULATIONS OF LYMPHOCYTES AND PHAGOCYTIC CELLS IN HIV-PATIENTS by N.V. Ilenko, T.A. Petrushanko, N.N. Ilenko

“…Study of expression of cluster of differentiation CD4, CD3 and CD45 on lymphocytes plasmolemma used the medical records of patients with HIV status under terms that suggest their validity. The data was processed statistically. The increase in total number of lymphocytes was found in about 40% of patients. 44 people (46.81%) were diagnosed with AIDS-defining somatic diseases and tumors. …”
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Quantitative prediction of water quality in Dongjiang Lake watershed based on LUCC by Yang Song, Xiaoming Li, Ying Zheng, Gui Zhang

“…Validation of the model using LUCC data from 2020 yielded a high prediction accuracy with a Kappa coefficient of 0.9505. …”
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Quantitative evaluation of methods to analyze motion changes in single-particle experiments by Gorka Muñoz-Gil, Harshith Bachimanchi, Jesús Pineda, Benjamin Midtvedt, Gabriel Fernández-Fernández, Borja Requena, Yusef Ahsini, Solomon Asghar, Jaeyong Bae, Francisco J. Barrantes, Steen W. B. Bender, Clément Cabriel, J. Alberto Conejero, Marc Escoto, Xiaochen Feng, Rasched Haidari, Nikos S. Hatzakis, Zihan Huang, Ignacio Izeddin, Hawoong Jeong, Yuan Jiang, Jacob Kæstel-Hansen, Judith Miné-Hattab, Ran Ni, Junwoo Park, Xiang Qu, Lucas A. Saavedra, Hao Sha, Nataliya Sokolovska, Yongbing Zhang, Giorgio Volpe, Maciej Lewenstein, Ralf Metzler, Diego Krapf, Giovanni Volpe, Carlo Manzo

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