Predicting spread through air space of lung adenocarcinoma based on deep learning and machine learning models by Zengming Wang, Lingxin Kong, Bin Li, Qingtao Zhao, Xiaopeng Zhang, Huanfen Zhao, Wenfei Xue, Wei Li, Shun Xu, Guochen Duan

“…Abstract Objective The aim of this study was to develop a machine learning model that can predict spread through air space (STAS) of lung adenocarcinoma preoperatively. …”
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Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models by Xiuxian Chen, Guzhong Chen, Kunchi Xie, Jie Cheng, Jiahui Chen, Zhen Song, Zhiwen Qi

“…For discovering uncharted chemical space of ionic liquids (ILs) for CO2 dissolution, a reliable generative framework combining re-balanced variational autoencoder (VAE), artificial neural network (ANN), and particle swarm optimization (PSO) is developed based on a comprehensive experimental solubility database from literature. …”
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A New Classification Model Using a Decision Tree Generated from Hyperplanes in Dimensional Space by Benjamín Luna-Benoso, José Cruz Martínez-Perales, Úrsula Samantha Morales-Rodríguez, Rolando Flores-Carapia, Víctor Manuel Silva-García

“…For this purpose, various models within supervised learning have been proposed and developed that allow for the classification of these data. …”
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Dynamics Modeling and Control Method for Non-Cooperative Target Capture with a Space Netted Pocket System by Wenyu Wang, Huibo Zhang, Jinming Yao, Wenbo Li, Zhuoran Huang, Chao Tang, Yang Zhao

“…A contact collision force model is developed using a spring–damper model. Subsequently, a feedforward controller is designed based on the estimated collision force from the dynamic model, aiming to compensate for the collision effects between the target and the net. …”
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MOCAT-pySSEM: An open-source Python library and user interface for orbital debris and source sink environmental modeling by Indigo Brownhall, Miles Lifson, Stephen Hall, Charles Constant, Giovanni Lavezzi, Marek Ziebart, Richard Linares, Santosh Bhattarai

“…MIT Orbital Capacity Assessment Tools (MOCAT) was developed to provide an open-source evolutionary space environment modeling capability to the broader space and policy communities, featuring both a computationally intensive but higher fidelity full-scale Monte Carlo model (MOCAT-MC) and a lower fidelity but significantly faster source sink evolutionary modeling framework, (MOCAT-SSEM). …”
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Characterization and modelling of exoplanetary atmospheres by Charnay, Benjamin, Drossart, Pierre

“…The arrival of JWST data and the development of new instruments on Earth will drastically modify the situation, giving access to deeper modelling contraints and to a better understanding on planet formation and evolution. …”
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Fast dynamical simulation combining harmonic-modal hybrid formulations with space separated representations by Claudia Germoso, Sebastian Rodriguez, Angelo Pasquale, Francisco Chinesta

“…The integration of space-separated representations allows for extremely fine 3D resolutions while maintaining computational complexity at a significantly reduced order of magnitude. …”
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State-Space Analysis and Complexity Assessment of Puzzle Games Using Colored Petri Nets by Ahmad Taghinezhad-Nia, Saeid Pashazadeh

“…We demonstrate the efficacy of our approach through a comprehensive case study of the Merchant Ship puzzle game, though the methodology generalizes across various game typologies. By synthesizing model-checking techniques with ML-based algorithmic implementations, we develop an optimized search strategy for traversing the state space graph, enabling the derivation of quantitative complexity metrics. …”
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Optimization of fiber-optic sensor performance in space environments by Nurzhigit Smailov, Marat Orynbet, Aruzhan Nazarova, Zhadyger Torekhan, Sauletbek Koshkinbayev, Kydyrali Yssyraiyl, Rashida Kadyrova, Akezhan Sabibolda

“… This article explores mathematical modeling strategies aimed at developing advanced stabilization techniques for fiber-optic sensors (FOS) used in space infrastructure. …”
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Building Safer Social Spaces: Addressing Body Shaming with LLMs and Explainable AI by Sajedeh Talebi, Neda Abdolvand

“…Integrating LLMs, LIME, and graph analysis, we develop scalable tools for real-time moderation to foster inclusive online spaces. …”
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Spatiotemporal evolution characteristics of functional coupling in the triple space of the sea area of Ningbo by Baoquan Wei, Baoquan Wei, Anning Suo, Yanlong Chen

“…We constructed coupling coordination degree models for the triple space to quantitatively measure pairwise functional coupling and overall coordination in the coastal zone of Ningbo. …”
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Quantifying hope: an EU perspective of rare disease therapeutic space and market dynamics by Emmanuelle Cacoub, Emmanuelle Cacoub, Nathalie Barreto Lefebvre, Dimitrije Milunov, Manish Sarkar, Soham Saha

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Development, hotspots, and trend directions of research on green production behavior of farmers based on CiteSpace and VOSviewer visual analysis by Bin Zhang, Wenyi Mao, Zhen Hu

“…IntroductionPromoting the popularization of green production behavior among farmers is the key to achieving sustainable agricultural development, guaranteeing food security and protecting the ecological environment.MethodsBased on the Web of Science core database, this study used CiteSpace and VOSviewer to conduct a bibliometric analysis of 697 literatures on green production behaviors of farmers from 2000 to 2024, aiming to sort out the development history and characteristics of this research field.Results and discussionThe results show that the number of literature in this field continues to grow, and the studies are concentrated in the field of environmental sciences, and most of them are published in Sustainability journals; China is the largest contributor to the literature in this field, and it cooperates closely with the United States, and the research institutes and authors are mainly from the Chinese institutions of higher education; the studies are mainly focused on the three dimensions of the behavioral drivers, the development of the theoretical models, and the evaluation of the benefits of the implementation. …”
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Optimal design of informal green spaces in cold-region settlements: an embodied cognition perspective by Jianfei Chen, Yu Ban, Wente Pan, Ziyan Liao

“…With the development of cities in cold regions, the demand for green spaces surpasses what formal areas like city parks can provide. …”
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An antibody developability triaging pipeline exploiting protein language models by James Sweet-Jones, Andrew C.R. Martin

“…Using data on paired human antibody sequences, we introduce a pipeline using a machine learning approach that exploits protein language models to identify antibodies which cluster with antibodies that have entered the clinic and are therefore expected to have developability features similar to clinically acceptable antibodies, and triage out those without these features. …”
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Modeling and Analysis of the Impact of Big Data on the Development of Education Network by Qin Yang

“…The experimental results show that big data technology provides greater development space for Education Networking. Its market scale has reached 502.47 billion yuan in 2021, and there is a trend of continuous growth. …”
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Strategic Planning of Prospects to Develop Management Models in Digital Economy by N. S. Mrochkovsky

“…The author puts forward a model of mega-integrator of digital platform management as a unique information and communication space, which provides opportunities for organizations to choose the most preferable managerial variants of using the broadest range of digital platforms.…”
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Development of a Simulation Model for Blade Tip Timing with Uncertainties by Kang Chen, Guoning Xu, Xulong Zhang, Wei Qu

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NEURAL NETWORK MODEL OF DIAGNOSTICS OF STAGES OF DEVELOPING CORPORATE BANKRUPTCY by S. A. Gorbatkov, S. A. Farkhieva

“…The article deals with the problem of developing an information and mathematical model to support decisionmaking on the restructuring of corporate debt in the banking technologies of financial management. …”
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Multiscale Model Development for Electrical Properties of Thyroid and Parathyroid Tissues by M. Matella, K. Hunter, S. Balasubramanian, D. C. Walker

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