Trait-Based Modeling of Surface Cooling Dynamics in Olive Fruit Using Thermal Imaging and Mixed-Effects Analysis by Eddy Plasquy, José M. Garcia, Maria C. Florido, Anneleen Verhasselt

“…Residual variation at the group level pointed to additional unmeasured structural influences. This study demonstrates that olive fruit cooling behavior can be effectively predicted using interpretable, trait-dependent models. …”
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Role of potential field data modeling for inferring the hydrocarbon-lean basins and ridges system of the eastern region of Yemen by Ahmed S. Abu El-Ata, Ahmed A. EI-Khafeef, Marwan A. Al-Badani

“…This argument is often agreed with the local studies presented by some oil companies operating in the study area. The interpreted structural features in the concerned area can be arranged, trend-wise and depth-wise as follows: The deepest are the folds and faults of the NE–SW trend, then those of the NW–SE trend. …”
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Experimental, Kinetics and Isotherm Modeling of Carbon Dioxide Adsorption with 13X Zeolite in a fixed bed column by M. Khajeh Amiri, A. Ghaemi, H. Arjomandi

“…With regard to achieved results for adsorption isotherm modeling, the adsorption isotherm followed of the three-parameter and among three-parameter models, Toth isotherm can be interpreted the process. …”
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A neural master equation framework for multiscale modeling of molecular processes: application to atomic-scale plasma processes by Shoubhanik Nath, Joseph R. Vella, David B. Graves, Ali Mesbah

“…By leveraging the physics-based structure of master equations and data-driven state transitions, the NME framework promotes generalizability and physics interpretability, and can bridge disparate length and time scales. …”
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Geoelectrical Models of Glacial-Permafrost Rock Formations of the Central Altai by G. S. Dyakova, A. A. Goreyavcheva, A. N. Shein, V. V. Potapov, R. D. Burym, O. V. Ostanin, V. V. Olenchenko

“…As a result of our studies performed by the method of electrical tomography and interpretation of a three-dimensional geoelectric model, it was estimated that thicknesses of the rock-ice material varied from 7 to 32 m, thawing niches were revealed and localized, and the potential volume of the rock-ice core was determined. …”
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AI-driven modeling for predicting compressive strength of recycled aggregate concrete under thermal conditions for sustainable construction by Morteza Ghodratnama, Amir R. Masoodi, Amir H. Gandomi

“…A detailed comparative analysis revealed that ANN models outperformed GEP in terms of predictive accuracy, while GEP models offered interpretable equations for practical engineering use. …”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

“…The results show that the state space model obtained has good interpretability, but the model structure inherently limits its approximation accuracy to a finite degree; in comparison, the temporal neural network model demonstrates a better ability to capture dynamic characteristics, providing a robust model foundation for subsequent optimization control of the unit's primary frequency modulation.…”
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Analysis of influencing factors and paths of synergistic development of water resources-economic society-ecological environment based on DIM modeling by Suming Ren, Fuqiang Wang, Peiheng Liu, Heng Zhao, Honglu Zhang, Lanbo Cui

“…This study constructs a system of influencing factors for the synergistic development of “water resources, economic society and ecological environment” from three dimensions, reveals the influencing relationship between indicators through the Decision Making Trial and Evaluation Laboratory (DEMATEL), determines the hierarchical structure of the influencing factors and the related paths through the Interpretive Structural Model (ISM), and classifies the influencing factors through the Matrix Multiplication Method of Cross Influence Matrix Multiplication (MICMAC). …”
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Fractal analysis of the urbanization at the outskirts of the city: Models, measurement and explanation by Apostolos Lagarias

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Accelerating discovery of bioactive ligands with pharmacophore-informed generative models by Weixin Xie, Jianhang Zhang, Qin Xie, Chaojun Gong, Yuhao Ren, Jin Xie, Qi Sun, Youjun Xu, Luhua Lai, Jianfeng Pei

“…Abstract Deep generative models have advanced drug discovery but often generate compounds with limited structural novelty, providing constrained inspiration for medicinal chemists. …”
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GPerturb: Gaussian process modelling of single-cell perturbation data by Hanwen Xing, Christopher Yau

“…GPerturb employs an additive structure to separate signal from noise and captures sparse, interpretable effects from both discrete and continuous responses. …”
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A comparison of computational models for eukaryotic cell shape and motility. by William R Holmes, Leah Edelstein-Keshet

“…This has motivated theoretical and computational approaches with simplified caricatures of cell structure and behaviour, each aiming to gain better understanding of certain kinds of cells and/or repertoire of behaviour. …”
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A unified model of heading and path perception in primate MSTd. by Oliver W Layton, N Andrew Browning

“…In our model, temporal dynamics afford time-history in the neural representation of optic flow, which may modulate its structure. …”
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Mensch und Maschine als Team. Exploratives Topic Modeling und manuelle Annotation in der qualitativen Sozialforschung by Lina Franken, Dennis Möbus

“…A mixed-methods approach suggests that topic modeling provides a proposition that can be interpreted by researchers for a first structuring of a qualitative analysis. …”
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SIGNAL MODEL FOR SPATIAL POSITION SENSORS IN MAGNETIC TRACKING SYSTEMS by Roman Holyaka, Tetyana Marusenkova, Dmytro Fedasyuk

“…Objectives: analysis of signals in magnetic tracking systems, development of tools for experimental study, mathematical interpretation of the research results along with development of the signal model, verification and use of the developed model. …”
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Commercial Real Estate Valuation Using CoStar by Margarita Kaprielyan, Angelo Boone

“…This paper presents a structured property investment evaluation project for real estate finance courses utilizing CoStar database. …”
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Tectono‐Magmatic Processes of the Western Parece Vela Basin: Insights Derived From Seismic Imaging and Gravity Modeling by Changliang Chen, Pin Yan, Weidong Luo, Yufang Tan, Junhui Yu, Yanlin Wang, Xubo Zhang, Zhanying Chen, Wenkai Huang, Jiale Chen

“…By processing and analyzing new multi‐channel seismic data and ship‐borne gravity data across three zones, we characterize the structures of the oceanic crust and elucidate the tectono‐magmatic processes involved in seafloor spreading. …”
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Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…The  neural network  modeling methodology allows you to create models that have  several advantages:  learning ability  (they  adapt  to various  changes);  universality  (able  to solve a wide  range of data analysis and processing tasks);  speed (process various  data  in  parallel  mode);  ease  of use (easy  to operate  after training);  fault  tolerance  (resistant  to local  damage  to the  neural network  structure and external  noise).One of the main  tasks that neural networks  successfully solve is the problem of classification  – the assignment  of the sample  to one or several predefined classes. …”
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Cultural Perception of Tourism Heritage Landscapes via Multi-Label Deep Learning: A Study of Jingdezhen, the Porcelain Capital by Yue Cheng, Weizhen Chen

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Psycholinguistic Peculiarities of the Development of Communicative Competence of Teachers of Secondary Schools by Едуард Івашкевич, Людмила Примачок

“…The following theoretical methods of the research were used to solve the tasks formulated in the article: a categorical method, structural and functional methods, the methods of the analysis, systematization, modeling, generalization. …”
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