Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability by Kai Ma, Junzhi Zhang, Xinhang Huang, Mengyang Wang

“…Abstract Objective This study aims to develop an enhanced Transformer model for predicting mild cognitive impairment (MCI) using data from the China Health and Retirement Longitudinal Study (CHARLS), focusing on handling mixed data types and improving predictive accuracy. …”
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An overview of the STEP divertor design and the simple models driving the plasma exhaust scenario by S.S. Henderson, R.T. Osawa, S.L. Newton, D. Moulton, L. Xiang, R. Futtersack, M. Kryjak, C. Ridgers, J. Karhunen, A. Jarvinen, A. Hudoba, S. Bakes, F. Eriksson, H. Meyer, M. Lord, A. Tarazona, A. Cureton, A. Barth, B. Chuilon, T. Hebrard, S. Wang, Z. Vizvary, D. Vaccaro, F. Perez Smith, J. Farrington, J. Harrison, B. Dudson, B. Lipschultz

“…An approach involving the validation of simple, yet robust models capable of accurately predicting key exhaust parameters is detailed, thereby streamlining the design process. …”
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Coupled Hydrodynamic and Biogeochemical Modeling in the Galician Rías Baixas (NW Iberian Peninsula) Using Delft3D: Model Validation and Performance by Adrián Castro-Olivares, Marisela Des, Maite deCastro, Humberto Pereira, Ana Picado, João Miguel Días, Moncho Gómez-Gesteira

“…Calibration and validation demonstrate the robust performance and reliability of the model in simulating critical biogeochemical processes, such as nutrient cycling and phytoplankton dynamics. …”
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Vision-Language Model-Based Local Interpretable Model-Agnostic Explanations Analysis for Explainable In-Vehicle Controller Area Network Intrusion Detection by Jaeseung Lee, Jehyeok Rew

“…However, these models often function as black boxes, offering limited transparency into their decision-making processes, which hinders trust in safety-critical environments. …”
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An Online Interactive Experiment Management System for CMA Numerical Weather Prediction Models by Wang Bin, Hu Jiangkai, Cui Yingjie, Zhou Bin, Sun Jing, Zhao Chunyan, Lou Panxing

“…The application layer offers management functions at the user application level for modeling experiments. …”
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Layer-by-Layer Multifractal Scanning of Optically Anisotropic Architectonics of Blood Plasma Films: Fundamental and Applied Aspects by Alexander Ushenko, Natalia Pavlyukovich, Oksana Khukhlina, Olexander Pavlyukovich, Mykhaylo Gorsky, Iryna Soltys, Alexander Dubolazov, Yurii Ushenko, Olexander Salega, Ivan Mikirin, Jun Zheng, Zhebo Chen, Lin Bin

“…The laser-based Jones-matrix layer-by-layer theziography relies on polarization filtration and the digital recording of interference patterns from microscopic images of blood plasma facies. …”
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An Improved Deep Learning Model for Electricity Price Forecasting by Rashed Iqbal, Hazlie Mokhlis, Anis Salwa Mohd Khairuddin, Munir Azam Muhammad

“…Hence, this work proposed two-fold contributions which are (1) effective time series preprocessing module to ensure feasible time-series data is fitted in the deep learning model, and (2) an improved long short-term memory (LSTM) model by incorporating linear scaled hyperbolic tangent (LiSHT) layer in the EPF. …”
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DETAILS’ REPAIR OF CONSTRUCTION AND ROAD MACHINES: FLUCTUATIONS’ MODELLING by V. E. Ovsyannikov, V. I. Vasilyev

“…The error doesn’t exceed 20%. The developed model considers geometrical parameters of the tool (a departure, plate corners, etc.), the modes of cutting both mechanical properties of the processed material and parameters of the chip formation. …”
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Deep Learning Model for Analyzing EEG Signal Analysis by Varun Gupta, Vivek Kumar, Prince, Saurabh Singh, Young-Seok Lee, In-Ho Ra

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Harmonizing Drying Time, Layer Thickness, and Drier Zones for Drying Kinetics: Quality and Safety of Solar Tunnel-Dried Wet-Processed Parchment Coffee (Coffea arabica L.) by Zenaba Kadir Abdissa, Yetenayet B. Tola, Addisalem Hailu Taye, Hayat Hassen Mohammed

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Adaptation of Concrete Model to 3D Printing Technology by Oleg Kabantsev

“…This study presents the results of adapting an existing mathematical model of concrete, originally based on the isotropic properties of traditional cast concrete, to the conditions of 3D printing technology using layer-by-layer horizontal extrusion. …”
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Edge Convolutional Networks for Style Change Detection in Arabic Multi-Authored Text by Abeer Saad Alsheddi, Mohamed El Bachir Menai

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Modelling of elastoviscoplastic properties of the subgrade. Problem statement 1 by V. M. Bel’Kov

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Modeling study on the combustion of intumescent fire-retardant polypropylene

“…The heat transfer and burning behavior of the intumescent fire-retardant polypropylene were studied by the cone calorimeter at heat flux levels of 50 kW.m-2 to establish an essential physical model for the intumescence process in fire. A mathematical model for the burning process of fire-retardant intumescent polymer was put forward based on the assumption that an intumescent front existed between the char layer and virgin layer. …”
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Rheological model parameters determination based on laboratory studies by Shishkin E.A.

“…Taking into account the initial conditions, analytical expressions of the laws of deformation of the model under the action of a constant load and in the process of recovery are obtained. …”
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MODELLING OF HEAT CONDUCTIVITY OF COMPOSITE MATERIALS WITH BALL INCLUSIONS by O. V. Pugachev, Z. T. Han

“…In a computational experiment, we simulate the process of heatconduction through a flat layer of the composite material, which has been heated on one side at the initial moment. …”
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Statistical Physics Modelling of Dye Adsorption on Modified Cotton by M. Khalfaoui, M.H.V. Baouab, R. Gauthier, A. Ben Lamine

“…Experimental adsorption isotherms for four anionic dyes (Acid Blue 25, Acid Yellow 99, Reactive Yellow 23 and Acid Blue 74) on to cationized cotton have been analyzed using a multilayer adsorption model. For such purpose, the double-layer model showed the best fit with a high correlation coefficient R 2 . …”
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Fast Parameter Identification of the Fractional-Order Creep Model by Shabnam Tashakori, Andres San-Millan, Vahid Vaziri, Sumeet S. Aphale

“…Still, parameter uncertainty in creep models is a challenge for real-time control. Aiming at a faster identification process, the proposed approach in this paper identifies the model parameters in two layers, i.e., one layer for the fractional-order exponent, corresponding to creep, and the other for the integer-order polynomial coefficients, corresponding to mechanical resonance. …”
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WRF Model Methodology for Offshore Wind Energy Applications by Evangelia-Maria Giannakopoulou, Regis Nhili

“…However, the use of any mesoscale model for wind energy applications requires a proper validation process to understand the accuracy and limitations of the model. …”
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Preparation of golden polyaniline and interpretation with a Lorentz model by Hiromasa Goto

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