Improved basal drag of the West Antarctic Ice Sheet from L-curve analysis of inverse models utilizing subglacial hydrology simulations by L.-S. Höyns, L.-S. Höyns, L.-S. Höyns, T. Kleiner, A. Rademacher, M. Rückamp, M. Wolovick, M. Wolovick, A. Humbert, A. Humbert

“…Further comparison reveals that the basal drag coefficient field has a less variable spatial structure when an effective pressure from the hydrology model is used instead of a parameterized effective pressure, allowing us to interpret the inverted drag coefficient more precisely in terms of the basal properties rather than the basal hydrology.…”
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THE METHODOLOGICAL UNIT OF SCIENTIFIC RESEARCH IN TERMS OF CONCEPTUALISATION OF PEDAGOGICAL KNOWLEDGE by Alfia F. Zakirova

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Properties of the new N $$ \mathcal{N} $$ = 1 AdS4 vacuum of maximal supergravity by Nikolay Bobev, Thomas Fischbacher, Krzysztof Pilch

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A forewarning model for the reverse supply chain of urban End-of-Life power batteries based on a mix method of BWM and RBFNN by Shuhua Li, Bei Xie

“…However, existing approaches exhibit key limitations: multi-criteria decision-making methods often lack dynamic assessment capabilities and rely heavily on subjective expert judgment, while data-driven models face high data acquisition costs and limited interpretability, especially within emerging industries. …”
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CPEL: A Causality-Aware, Parameter-Efficient Learning Framework for Adaptation of Large Language Models with Case Studies in Geriatric Care and Beyond by Jinzhong Xu, Junyi Gao, Xiaoming Liu, Guan Yang, Jie Liu, Yang Long, Ziyue Huang, Kai Yang

“…This cohesive design ensures that CPEL achieves resource efficiency while capturing domain knowledge in a structured and interpretable manner. Based on this framework, we delved into its application in the field of geriatric care and trained a specialized large language model (Geriatric Care LLaMA) tailored for the aged-care domain, leveraging its capacity to efficiently integrate domain expertise. …”
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Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models by Daniel S. Roll, Zeyneb Kurt, Yulei Li, Wai Lok Woo

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One size does not fit all: healthcare worker perspectives on hepatitis B models of care in a low-prevalence region in Australia by Jacqueline A. Richmond, Christine Roder, Chris Hair, Amanda J. Wade, Jack Wallace

“…This study aimed to determine enablers to providing care in a low hepatitis B prevalence region of Australia. Methods: Semi-structured interviews were conducted with healthcare workers in the Barwon South West region of Victoria, Australia, to identify their perspectives on hepatitis B care and service delivery. …”
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Developing a Model for Integrating Artificial Intelligence (AI) to Change the Organization’s Public Relations Unit’s Processes, With an Emphasis on Organizational Knowledge Managem... by Seyed Vahab Omat Mohammadi, Ladan Hajianvari, Kimiya Mohaqeq

“…Methodology: The current applied research is based on an interpretive (constructivist) paradigm with a qualitative approach, specifically focusing on data-driven theory to develop a model for the application of artificial intelligence in the public relations units of organizations. …”
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Bayesian Estimation of Generalized Log-Linear Poisson Item Response Models for Fluency Scores Using <tt>brms</tt> and <tt>Stan</tt> by Nils Myszkowski, Martin Storme

“…The two-parameter Poisson counts model (2PPCM), a generalization of the Rasch Poisson counts model (RPCM) that includes discrimination parameters, has been proposed as a useful approach to analyze fluency scores in creativity tasks, but its estimation was presented in the context of generalized structural equation modeling (GSEM) commercial software (e.g., Mplus). …”
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Cognitive-Reflective Motor Learning – Based Physical Education to Enhance Critical Thinking Abilities: Does RASCH Analysis Model show the Significant Evidence? by Bambang Abduljabar, Lutfi Nur, Ade Yulianto

“…The study aimed to examine the structural design of instructional didactics and to assess changes in the difficulty levels of critical thinking among students in physical education settings. …”
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A MODEL OF GOOD PRACTICES IN SUSTAINABLE RURAL TOURISM FROM THE MOUNTAIN AREA - A CASE STUDY "GURA RAULUI", SIBIU COUNTY, ROMANIA by Mirela STANCIU, Agatha POPESCU, Sorina CORMAN

“…Then, there were calculated and interpreted some indicators of the tourist circulation The second stage of the research analyzes the expectations of 360 tourists from a vacation spent in the tourist village of Gura Râului, the selected case study, as a model of good practices in sustainable rural tourism. …”
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LECTURE SUR LES DIMENSIONS SOCIOLOGIQUES DU COMPORTEMENT DEVIANT : LE PHENOMENE DE LA DEPENDANCE CHEZ LES JEUNES COMME MODELE by Afifa LADJEL

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Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined? by N. Besic, N. Picard, C. Vega, J.-D. Bontemps, L. Hertzog, J.-P. Renaud, J.-P. Renaud, F. Fogel, M. Schwartz, A. Pellissier-Tanon, G. Destouet, F. Mortier, F. Mortier, M. Planells-Rodriguez, P. Ciais

“…This has resulted in the availability of multiple, sometimes conflicting, sources of information, but, at face value, it also makes it possible to learn about forest attribute uncertainty through the joint interpretation of multiple models. This article seeks to endorse the latter by utilizing the Bayesian model averaging approach to diagnose and interpret the differences between predictions from different models. …”
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network by Ivan Jerković, Željana Bašić, Ivana Kružić

“…Subsequently, supervised classification with a support vector machine yielded an accuracy of 88.71% (Matthews Correlation Coefficient, MCC = 0.7746) on a test set (n = 62). Interpretability analysis highlighted key regions influencing classification, with males exhibiting larger, U-shaped hyoids and females showing smaller, more open structures. …”
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Deep learning with ensemble-based hybrid AI model for bipolar and unipolar depression detection using demographic and behavioral based on time-series data by Naga Raju Kanchapogu, Sachi Nandan Mohanty

“…Machine learning (ML) and deep learning (DL) offer automated approaches to detect depression using behavioral and demographic data.Methods This study proposes a hybrid AI framework combining structured demographic features with synthetic actigraph time-series data. …”
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Digital surface models of the Bronze Age fortified settlements of the Southern Trans-Urals (Alandskoye, Arkaim, Verkhneuralskoye, Zarechnoye IV, Sarym-Sakly, Sintashta) by Soldatkin N.V., Molchanov I.V., Sidorin V.M.

“…The comparison of the DSM with data from other methods allows us to conclude that there is insufficient validity for identifying “additional” elements, such as additional rows of buildings, complex hydraulic structures, extensive structures of unclear purpose, work and utility buildings, on the territory of several sites based solely on the interpretation of individual aerial photographs.…”
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LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics&#x2014;The Case of Greek Songs by Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi, Dionisios N. Sotiropoulos, Konstantina Chrysafiadi, Evangelos Sakkopoulos, George A. Tsihrintzis, Maria Virvou

“…An important feature of LYRICEL is its use of KG visualizations, which serve as dynamic links to improve interpretability and validatability by structuring data relationships and sources. …”
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Spatially Constrained 1D Inversions of Common-Midpoint Marine Controlled-Source Electromagnetic Data to Create a 3D Electrical Model by Jorlivan Lopes Correa, Cícero Régis

“…The proposed 3D stitching of spatially constrained Common Midpoint (CMP) 1D inversions is a method that integrates 1D laterally constrained inversion of marine Controlled-Source Electromagnetic (CSEM) data in the CMP domain to generate a cube of resistivities from 3D surveys. An interpretive model is built in the form of a set of columns of homogeneous cells that form a 3D resistivity grid. …”
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Volunteer-aholism: A comprehensive model of personality, burnout, and mental distress in a sample of healthcare first responders of the Italian Red Cross Auxiliary Corps by Livio TARCHI, Pietro CRESCENZO, Giovanni CASTELLINI, Valdo RICCA, Kristian TALAMONTI, Fabio RISPOLI, Sefa BULUT, Amelia RIZZO, Salvatore ZAFFINA, Gabriele GIORGI, Francesco CHIRICO

“…An online questionnaire was proposed as composed of the Generalized Anxiety Disorder Assessment, Patient Health Questionnaire, Single-item PTSD Screener, Maslach Burnout Inventory, and Big Five Inventory. A comprehensive model accounting for both personality and mental distress in influencing burnout dimensions was carried over through structural equation modeling. …”
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DeepB3P: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN by Qiang Tang, Wei Chen

“…Introduction: The blood–brain barrier (BBB) serves as a critical structural barrier and impedes the entry of most neurotherapeutic drugs into the brain. …”
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