PPP Solution‐Based Model of Absolute Vertical Movements of the Earth's Crust in Poland With Consideration of Geological, Tectonic, Hydrological and Mineral Information by B. Naumowicz, K. Kowalczyk, R. Pelc‐Mieczkowska

“…This region of Poland can be considered tectonically stable and the developed VCM model correlates with the geological and tectonic structure of the region. …”
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Computational histology reveals that concomitant application of insect repellent with sunscreen impairs UV protection in an ex vivo human skin model by Sophie Charrasse, Titouan Poquillon, Charlotte Saint-Omer, Audrey Schunemann, Mylène Weill, Victor Racine, Abdel Aouacheria

“…Hematoxylin and eosin or hematoxylin-eosin saffron staining was performed to assess skin structure before morphometric parameter computation. …”
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Model Semantic Attention (SemAtt) With Hybrid Learning Separable Neural Network and Long Short-Term Memory to Generate Caption by Agus Nursikuwagus, Rinaldi Munir, Masayu L. Khodra, Deshinta Arrova Dewi

“…The task of a geologist is to write a content description of an image and display it as text that can be used in the future. Interpretation of the object is one of the objectives of the research, which is to traverse the image structures in depth. …”
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How Do Lecturers Implement Case and Project Learning Models to Strengthen the Merdeka Curriculum? : A Study at Tanjungpura University, Indonesia by Bistari Bistari, Nadia Wardah Mumtazah, Asriah Nurdini Mardiyyaningsih, Rusdiono Rusdiono

“…The study concludes that case and project-based learning hold significant potential for enriching the Merdeka Curriculum, and more structured support and awareness-building initiatives are necessary to realize their full benefits. …”
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DBRSNet: a dual-branch remote sensing image segmentation model based on feature interaction and multi-scale feature fusion by Yong Ji, Wenbin Shi, Jingsheng Lei, Jiayin Ding

“…These limitations result in fragmented object boundaries, degradation of small-scale structures, and challenges in comprehending large-scale spatial dependencies. …”
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Innovative multi-class segmentation for brain tumor MRI using noise diffusion probability models and enhancing tumor boundary recognition by Zengxin Liu, Caiwen Ma, Wenji She, Meilin Xie

“…Abstract Medical imaging, notably Magnetic Resonance Imaging (MRI), plays a vital role in contemporary healthcare by offering detailed insights into internal structures. Addressing the escalating demand for precise diagnostics, this research focuses on the challenges of multi-class segmentation in MRI. …”
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Continuum Enhancement and Line Asymmetries of Solar Flares in Different Heating Models: Alfvén Waves, Nonthermal Electron Beams, and Their Joint Effect by Jun Tian, Ying Li, Jie Hong, M. D. Ding

“…We compared the atmospheric structures, continuum enhancements, and line profiles of hydrogen Ly α and H α in beam-heated, wave-heated, and jointly heated flare models. …”
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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…Global carbon dioxide (CO₂) emissions are increasing and present substantial environmental sustainability challenges, requiring the development of accurate predictive models. Due to the non-linear and temporal nature of emissions data, traditional machine learning methods—which work well when data are structured—struggle to provide effective predictions. …”
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Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble by Qinghong Wang, Tianxing Ma, Shengqi Yang, Fei Yan, Jiang Zhao

“…The proposed hybrid ensemble model greatly improves generalization and interpretability over traditional single models. …”
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Advancing Early Wildfire Detection: Integration of Vision Language Models with Unmanned Aerial Vehicle Remote Sensing for Enhanced Situational Awareness by Leon Seidel, Simon Gehringer, Tobias Raczok, Sven-Nicolas Ivens, Bernd Eckardt, Martin Maerz

“…This paper addresses this limitation by utilizing Vision Language Models (VLMs) to generate structured scene descriptions from Unmanned Aerial Vehicle (UAV) imagery. …”
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Magnetopause Boundary Detection Based on a Deep Image Prior Model Using Simulated Lobster-Eye Soft X-Ray Images by Fei Wei, Zhihui Lyu, Songwu Peng, Rongcong Wang, Tianran Sun

“…These limitations could severely constrain the accurate interpretation of magnetospheric structures—especially the magnetopause boundary. …”
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Enhance Social Network Bullying Detection Using Multi-Teacher Knowledge Distillation With XGBoost Classifier by Sathit Prasomphan

“…Unlike prior work that relies solely on neural models, this research demonstrates how distilled soft labels from diverse teacher models can be effectively transferred to a lightweight and interpretable XGBoost student model. …”
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The functions of the “basic models” in the formation of a pastoral-sentimental genre matrix in N. M. Karamzin’s prose (“Wooden Leg”, “Eugene and Julia”) by Shavrygin, Sergei Mikhailovich

“…The theory of “basic models” by J. Lakoff, created by the researcher for the needs of cognitive linguistics, with some reservations and modifications can be applied to the analysis of genre structures of both speech and literary genres. …”
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Fatigue life investigation of notched TC4 specimens subjected to different patterns of laser shock peening by M. Zhelnin, A. Kostina, A. Iziumova, A. Vshivkov, E. Gachegova, O. Plekhov, S. Swaroop

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Development of the Methodology for Comprehensive Analysis of the Efficiency of the State Financial and Investment Model of Population Social Security Using the Example of Russian R... by M. L. Dorofeev

“…The construction and interpretation of the regression model made it possible to identify a number of significant exogenous factors such as GRP, GRP per capita, volume indices of GRP, that positively impact the effectiveness of SFIMSS. …”
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Student performance study: the outcomes of metabolic, molecular and physical-chemical characterization of intestinal tract microbiome on a four mammalian species model by Nataša CIBER, Tina ZUPANČIČ, Tamara ZORAN, Katarina ŠIMUNOVIĆ, Anja PUGELJ, Bojan PAPIĆ, Nika KLINEC, Andreja GAZVODA, Benjamin DRAKSLAR, Mateja DOLENC, Blaž STRES

“…Many environmental factors influence the structure of microbial communities, their activity and properties of the environment of the digestive tract. …”
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BUILDING A TOMOGRAPHIC VELOCITY MODEL FOR SAMOYLOV ISLAND AREA (LENA DELTA) FROM LOCAL SEISMOLOGICAL DATA FOR THE PERIOD OF 2019–2021 by P. A. Dergach, L. Y. Eponeshnikova, S. N. Ponasenko, A. A. Kartoziia, W. H. Geissler, A. A. Duchkov, S. V. Shibaev, G. Y. Zobnin

“…The velocity anomalies structure made it possible to interpret low Vp /Vs ratio as rocks related to the Siberian platform, and to compare between the boundary of the low Vp /Vs area and the trace of the known geological fault running along the Olenekskaya Channel.…”
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A New Analysis of Web Customer Service Text Classification of Alexa Virtual Assistant Commands Using a Deep Learning Model by Seidakhmet Nurpatsha

“…All models share a common structure, consisting of three main layers: an embedding layer with 14 dimensions as input, a unique hidden layer specific to each model, and a dense output layer with 18 units corresponding to distinct command classes. …”
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Intelligent quality assessment of ultrasound images for fetal nuchal translucency measurement during the first trimester of pregnancy based on deep learning models by Lu Liu, Ting Wang, Wenjing Zhu, Haidong Zhang, Hongyan Tian, Yanping Li, Wenjun Cai, Peng Yang

“…The optimal model was compared with junior radiologists. We used SHapley Additive exPlanations (SHAP) to investigate the model’s interpretability. …”
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COMPLEX GEOLOGICAL–GEOPHYSICAL 3D MODEL OF THE CRUST IN THE SOUTHEASTERN FENNOSCANDIAN SHIELD: NATURE OF DENSITY LAYERING OF THE CRUST AND THE CRUST–MANTLE BOUNDARY by V. N. Glaznev, M. V. Mints, O. M. Muravina, A. B. Raevsky, L. G. Osipenko

“…Based on results of complex geophysical simulation and geological interpretation of the 3D model, the following conclusions are drawn. (1) The nearly horizontal density layering of the continental crust is superimposed on the previously formed geological structure; rock differentiation by density is decreasing with depth; the density layering is controlled by the recent and near-recent state of the crust, but can be disturbed by the latest deformations. (2) Temperature variations at the Moho are partially determined by local variations of heat generation in the mantle, which, in turn, are related to local features of its origin and transformation. (3) The concept of the lower continental crust being a reflectivity zone and the concept of the lower continental crust being a layer of high density and velocity are not equivalent: the lower crust is the deepest, high-density element of near-horizontal layering, whereas the seismic image of the reflectivity zone is primarily related to transformation of the crust as a result of magmatic under- and intraplating under conditions of extension and mantle-plume activity. (4) At certain combinations of crustal thickness and temperature at the level of Moho discontinuity, the crust in a platform region can be transformed into eclogites. …”
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