Approaches to Identify Typical Mistakes by Primary Schoolchildren Studying Natural Science Concepts by Egorenko T.A., Sanina S.P.

“…SAM (Student Achievement's Monitoring) reveals the "structure" of achievements and backlogs. SAM evaluation tool has proven itself well in assessing the natural science literacy of younger schoolchildren, namely the ability to act according to a model, the ability to act with understanding and the degree of freedom (the manifestation of natural science literacy) in the possession of certain modes of action. …”
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Pre-service teachers’ knowledge of evidence-based classroom management practices in physical education: a test validation using item response theory by Clemens Berthold, Eric Jeisy, Matthias Baumgartner

“…Data from 877 pre-service primary education teachers from four universities of teacher education were analyzed using item response theory to examine the instrument’s structure and psychometric properties. The findings indicate a unidimensional structure with satisfactory reliability and no evidence of bias related to demographic variables. …”
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The Dutch clinical impairment assessment: factor analysis and psychometric properties in a clinical eating disorder sample by Daniela Schlochtermeier, Matthijs Blankers, Jaap Peen, Elske van den Berg, Ella van Beers, Bernou Melisse, Jitske Koenders, Anna E. Goudriaan, Margo de Jonge, Jack Dekker, Edwin de Beurs

“…The aim of this study was to determine the factor structure of the CIA as there are conflicting studies supporting a three-factor, bifactor, and single-factor model with a general factor and three specific factors. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

“…The key idea behind ADA-NAF is the incorporation of NAF into an autoencoder structure, where it implements functions of a compressor as well as a reconstructor of input vectors. …”
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Landslide Segmentation in High-Resolution Remote Sensing Images: The Van–UPerAttnSeg Framework with Multi-Scale Feature Enhancement by Chang Li, Quan Zou, Guoqing Li, Wenyang Yu

“…The decoder consists of a pyramid pooling module (PPM) and feature pyramid network (FPN), combined with a convolutional block attention module (CBAM) module. Through this structure, the model can effectively integrate features of different scales, achieving precise positioning and recognition of landslide areas. …”
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EXPERIMENTAL MEASUREMENTS OF WALL DEVIATION FROM VERTICAL PLANE USING ELECTRONIC TACHOMETER by V. I. Mikhailov, S. I. Kononovich

“…At the same time it has been proposed that interpretation of measuring results is to be made in accordance with digital models, vertical profiles and layouts of walls shown by iso-lines.…”
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Linguosemiotics of Proper Names in Novel ‘Night Watch’ by S. Lukyanenko by N. V. Labunets, D. E. Ertner, E. N. Ertner

“…This article addresses the issue of linguosemiotic interpretation of proper names functioning in a literary text. …”
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Acmeological technology of forecasting individual professional-oriented trajectories of students’ personality development by E. F. Zeer, L. N. Stepanova

“…The method of structural and functional modelling of acmeological technology was applied. …”
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Contribution of interference to the magneto-optical transverse Kerr effect in white light by I. V. Gladyshev, A. N. Yurasov, M. M. Yashin

“…A numerical solution of equations was compiled for a model structure for various thicknesses and materials of layers.Results. …”
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Detection of degraded forests in Guinea, West Africa, using convolutional neural networks and Sentinel-2 time series by An Vo Quang, An Vo Quang, Nicolas Delbart, Gabriel Jaffrain, Camille Pinet

“…Consequently, degraded forests exhibit fewer large trees than intact forests, resulting in discontinuities in the canopy structure. This study consists in a comparative analysis between the contextual Random Forest (RF) algorithm previously introduced, three convolutional neural network (CNN) models (U-Net, SegNet, ResNet-UNet), and the photo-interpreted (PI) method, with all model results undergoing independent validation by external Guinean photo-interpreters. …”
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Spanish to Mexican Sign Language glosses corpus for natural language processing tasks by Vania Lara-Ortiz, Rita Q. Fuentes-Aguilar, Isaac Chairez

“…Moreover, the evaluation of a professional MSL interpreter established 94% of effective translation of SPA sentences in MSL structures.…”
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Wearable graphene-patterned gas detection sensor by Mohammadreza Nehzati, Alireza Barati Haghverdi, Amir Ali Mohammad Khani, Ilghar Rezaei, Toktam Aghaee

“…The operational frequency range is the THz gap while the sensor includes a golden bottom, Kapton spacer, and periodic arrays of graphene disks and ribbons. The structure is exclusively represented by an impedance that can predict absorption versus frequency. …”
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Experimental Seismic Surveying in a Historic Underground Metals Mine by John H. McBride, Lex Lambeck, Kevin A. Rey, Stephen T. Nelson, R. William Keach

“…We supplemented the P-wave survey with tests of surface-wave dispersion and horizontal-vertical spectral ratio modelling for shallow S-wave structure. These tests confirmed the capability to map shallow, small-scale structure. …”
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Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules by Boya Zhu, Jingqian Wang, Xiaohong Zhang

“…Finally, the proposed decision tree algorithm is experimentally compared with other classifiers, and the results indicate that this algorithm demonstrates higher classification accuracy and a more concise tree structure when handling datasets containing fuzzy and uncertain factors. …”
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Kinetic Theory with Casimir Invariants—Toward Understanding of Self-Organization by Topological Constraints by Zensho Yoshida

“…By introducing a model of a grand canonical ensemble, the Casimir invariant is interpreted as the number of topological particles.…”
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Mineral host inclusion systems are a window into the solid-state rheology of the Earth by Nicola Campomenosi, Ross John Angel, Boriana Mihailova, Matteo Alvaro

“…However mineral properties strongly depend on structural defects and impurities. Therefore, the interpretation of natural chemically complex systems requires uncertain extrapolations. …”
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Analysis of the Mechanical Behaviour of a Tube Confined within a Granular Medium by Sajid ZEMAM

“…Complementary finite element simulations were performed to interpret the experimental findings. The numerical results showed excellent agreement with the experimental data, validating the modelling approach. …”
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Tracing biomimicry from the ancient Chinese wisdom: a case study at Lushan UNESCO Global Geopark by Lyuxin Xiong, Mazlan Mohd Tahir, Tanot Anak Unjah, Chao Xu

“…According to the sample, ancient Chinese biomimicry closely linked itself to its environment by using nature as a model, understanding the meaning of nature and interpreting topography and climate; discovering the laws of nature and using methods that take advantage of natural conditions, and realizing techniques for the harmonious coexistence of architecture and the site’s environment.…”
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Uncertainty Quantification to Assess the Generalisability of Automated Masonry Joint Segmentation Methods by Jack M. W. Smith, Chrysothemis Paraskevopoulou

“…It applies test-time augmentation (TTA) and Monte Carlo dropout (MCD) to evaluate both the aleatoric and epistemic uncertainties of a selection of trained models. It then shows how these can be used to generate uncertainty maps to aid an engineer’s interpretation of the neural network output.…”
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A framework for post-prognosis decision-making utilizing deep reinforcement learning considering imperfect maintenance decisions and Value of Information by P. Komninos, D. Zarouchas

“…Finally, it emphasizes the importance of decomposing uncertainty into epistemic and aleatoric to convert the total uncertainty into decision probabilities over the chosen actions, ensuring reliability and enhancing the interpretability of the DRL model.…”
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