Analysis of the dynamics of changes in factor load models for predicting failures of a spacecraft by Kraev Konstantin, Zaitsev Pavel, Kazakovtsev Vladimir

“…The authors described the nature of the factors affecting the spacecraft during operation. The structure of the methodology for preparing data and creating factor load models is described. …”
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The Jackknife method as a new approach to validate strong lens mass models by Shun Nishida, Masamune Oguri, Yoshinobu Fudamoto, Ayari Kitamura

“…While the mass model is optimized by changing parameters of the mass model to match predicted positions of multiple images with observations, positional uncertainties of multiple images often need to be boosted to take account of the complex structure of dark matter in lens objects, making the interpretation of the chi-square value difficult. …”
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A Theoretical Modelling of the Associations between Housing and Family in the Light of Previous Research by abdolmajid nourtaghani, Parzhak Mohammad Pour, Abdollah Ebrahimi

“…This was followed with the classification, interpretation and analysis of components, and a theoretical model of the relationship was presented. …”
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Developing a Model for Institutionalization of the Transparency Culture in Lorestan University of Medical Sciences by Mohsen Amirinia, Reza Sepahvand, Mohammad Hakkak, Seyed Najmoddin Mousavi

“…A researcher-made questionnaire tool was used to collect information, and the interpretive structural modelling method was used to analyze and rank the components. …”
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Support of individual educational trajectories based on the concept of explainable artificial intelligence by I. G. Zakharova, M. S. Vorobeva, Yu. V. Boganyuk

“…A preliminary analysis of significant volumes of initial data made it possible to obtain objective information about the data quality, including the content and structure of documents presented in various university information systems. …”
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Meaning in the Algorithmic Museum: Towards a Dialectical Modelling Nexus of Virtual Curation by Huining Guan, Pengbo Chen

“…This paper proposes a dialectical-semiotic framework to synthesise and transcend these positions. The Dialectical Modelling Nexus (DMN) is a new conceptual structure that views meaning in virtual museums as emerging from the dynamic interplay of original and reproduced contexts, human and algorithmic sign systems, personal interpretation, and ideological framing. …”
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Toward Building Model of Business Closure Intention in SMEs: Binomial Logistic Regression by Gelmar García-Vidal, Alexander Sánchez-Rodríguez, Laritza Guzmán-Vilar, Reyner Pérez-Campdesuñer, Rodobaldo Martínez-Vivar

“…The survey evidence from 385 Ecuadorian SMEs was analyzed in two stages; confirmatory factor analysis validated the scales capturing environmental pessimism and personal pressures, and a structural equation model confirmed that both latent constructs directly heighten exit propensity. …”
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An Integrated Capacity Allocation and Dynamic Pricing Model Designed for Air Cargo Transportation by Dilhan İlgün Ayhan, S. Emre Alptekin

“…The model is implemented using data from a prominent air cargo company, and the results are interpreted, and recommendations are made for future research.…”
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Identification of water sources of mine water bursts based on the FPS-DT model by Kaide Liu, Yu xia, Xiaolong Li, Chaowei Sun, Wenping Yue, Qiyu Wang, Songxin Zhao, Shufeng Chen

“…Additionally, the FPS-DT model features a clear structure and explicit classification rules, offering good interpretability and robustness. …”
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Fine-grained entity disambiguation through numeric pattern awareness in transformer models by Jaeeun Jang, Sangmin Kim, Howon Moon, Sang Heon Shin, Mira Yun, Charles Wiseman

“…These advancements extend beyond entity linking, offering broader insights into how transformer-based models can more effectively interpret numerical information. …”
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Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model by János Abonyi, Richárd Károly, Gyula Dörgö

“…In this method, by predicting transition probabilities, the output layer is interpreted as a probability model by creating a prediction tree of sequences instead of just a single sequence. …”
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Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics by Chao Yang, Yuliang Zhang, Xianyuan Zhan, Satish V. Ukkusuri, Yifan Chen

“…Moreover, the multidimension structure of the activity data (e.g., location, start time, duration, type) makes the extraction of spatiotemporal activity patterns another difficult problem. …”
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Vision-language model for report generation and outcome prediction in CT pulmonary angiogram by Zhusi Zhong, Yuli Wang, Jing Wu, Wen-Chi Hsu, Vin Somasundaram, Lulu Bi, Shreyas Kulkarni, Zhuoqi Ma, Scott Collins, Grayson Baird, Sun Ho Ahn, Xue Feng, Ihab Kamel, Cheng Ting Lin, Colin Greineder, Michael Atalay, Zhicheng Jiao, Harrison Bai

“…We propose an agent-based framework that integrates Vision-Language Models (VLMs) for detecting 32 PE-related abnormalities and Large Language Models (LLMs) for structured report generation. …”
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Velocity Model Construction and Time-to-Depth Conversion of a Vintage Seismic Reflection Profile for Improving the Constraints on a Subsurface Geological Model: An Example from the... by Aasiya Qadir, Nicolò Chizzini, Mariagiada Maiorana, Andrea Artoni, Luigi Torelli, Attilio Sulli

“…This study provides a new subsurface velocity field that can be applied, or taken into account, to most parts of the Sicily Channel when structural and stratigraphic interpretations are carried out at specific sites and where uncertainties in subsurface geological model exist (e.g., in the present study, the volcanic bodies in the Pantelleria Graben and Lampedusa High).…”
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Clinical innovation research model for fundus diseases: 6 elements, 3 ones by WEN Feng, ZHANG Xiongze, LI Miaoling, GAN Yuhong, SU Yongyue

“…The "6 Elements, 3 Ones" constitutes a methodological framework for conducting innovative clinical research of ocular fundus diseases in foundational fundus imaging interpretation. This model emphasizes: 1) identifying a single abnormal case during routine fundus evaluation; 2) systematically expanding this observation into a case series through case accumulation, feature extraction, literature review, and comparative analysis; and 3) ultimately proposing or refining novel disease entities or manifestations through critical thinking and innovation. …”
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Leveraging machine learning models in evaluating ADMET properties for drug discovery and development by Magesh Venkataraman, Gopi Chand Rao, Jeevan Karthik Madavareddi, Srinivas Rao Maddi

“…Key results: ML-based models have demon­strated significant promise in predicting key ADMET endpoints, outperforming some traditional quantitative structure - activity relationship (QSAR) models. …”
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Associations of urinary caffeine metabolites with sex hormones: comparison of three statistical models by Jianli Zhou, Linyuan Qin, Linyuan Qin

“…Considering the advantages and disadvantages of the three statistical models, we recommend applying diverse statistical methods and interpreting their results together.…”
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Active screening technological model of cardiac rhythm disturbances (experience of Moscow polyclinic) by E. V. Sorokina, N. P. Lyamina, A. A. Tyazhelnikov, O. A. Mamontova, P. N. Kuzmin

“…This study is devoted to the study of the structure of cardiac arrhythmias detected in the process of active screening using a portable ECG recorder in patients of the State Budgetary Institution of Healthcare "Consultative and Diagnostic Polyclinic No. 121 of the DZM" (hereinafter – KDP No. 121). …”
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Revisit of the Fennoscandian Shield along the UPPLAND seismic profile: competitive velocity models by T. Janik, R. Lahtinen, M. Bociarska, P. Środa, D. Wójcik

“…The Moho depth varies between 43–50 km in the new model, compared to 45–52 km in the previous one.</p> <p>In addition, we present two, possibly overlapping, tectonic interpretations to explain the new model. …”
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Sustainable strengthening of concrete deep beams with openings using ECC and Bamboo: An equation and data-driven approach through abaqus modeling and GEP by Fayiz Amin, Ijaz Ali, Ali Husnain, Muhammad Faisal Javed, Hisham Alabduljabbar, Asher Junaid

“…Gene expression programming (GEP) was used to develop predictive models for shear capacity, providing an interpretable framework for optimizing beam design. …”
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