Représenter l’activité pour investiguer ses dimensions incarnée, spatio‑temporelle et collective by Clémence Bénézet, Serge Leblanc, Mireille Navarrete, Laure Hossard

“…Farmers involved in agro-ecological transition are testing and adjusting new cropping practices. This process of the step-by-step design of a new agrosystem can be analysed through the description and understanding of farmers’ activity on different spatial and temporal scales and in interaction with multiple human and non-human actors. …”
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Autoencoders with shared and specific embeddings for multi-omics data integration by Chao Wang, Michael J. O’Connell

“…Results In this study we propose a novel autoencoder (AE) structure with explicitly defined orthogonal loss between the shared and specific embeddings to integrate different data sources. …”
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Enterprise modelling for decision-making in the software ecosystem by Anshul Rani, Deepti Mishra, Aida Omerovic

“…In addition to model development, 4EM and ArchiMate are tested for the extent they fit for modelling the given decision-making context in the software ecosystem. …”
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Neural network distillation of orbital dependent density functional theory by Matija Medvidović, Jaylyn C. Umana, Iman Ahmadabadi, Domenico Di Sante, Johannes Flick, Angel Rubio

“…These goals are achieved by using a recently developed class of robust neural network models capable of modeling functionals, as opposed to functions, with explicitly enforced spatial symmetries. Functionals treated in this way are then called global density approximations and can be seamlessly integrated with existing DFT workflows. …”
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An agent-based model of signal transduction in bacterial chemotaxis. by Jameson Miller, Miles Parker, Robert B Bourret, Morgan C Giddings

“…Agent-based modeling is a stochastic and bottom-up approach, where individual components of the modeled system are explicitly represented, and bulk properties emerge from their movement and interactions. …”
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NeuroTIS+: An Improved Method for Translation Initiation Site Prediction in Full-Length mRNA Sequence via Primary Structural Information by Wenqiu Xiao, Chao Wei

“…In our previous work, we developed NeuroTIS, a novel method for TIS prediction based on a hybrid dependency network combined with a deep learning framework that explicitly models label dependencies both within coding sequences (CDSs) and between CDSs and TISs. …”
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Alternative Support Threshold Computation for Market Basket Analysis by Damiano Verda, Marco Muselli

“…More specifically, it is shown how, if the minimum support threshold is not specified explicitly, but in terms of the number of items to consider, it is possible to compute an upper bound for the number of generated association rules. …”
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Leveraging how animals learn in conservation science: Behavioral responses of reintroduced bison to management interventions by Tana L. Verzuh, Karsten Heuer, Jerod A. Merkle

“…Although concepts of animal learning have been used to improve reintroduction programs, learning is not often explicitly tested or used as an indicator of program success. …”
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Guest Editorial: Anomaly detection and open‐set recognition applications for computer vision by Hakan Cevikalp, Robi Polikar, Ömer Nezih Gerek, Songcan Chen, Chuanxing Geng

“…Open‐set recognition methods frequently involve modelling both known and unknown classes during training, allowing for the capture of the distribution of known classes while explicitly addressing the space of unknown classes. …”
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Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds by Mathevet, Thibault, Le Moine, Nicolas, Andréassian, Vazken, Gupta, Hoshin, Oudin, Ludovic

“…The approach is illustrated using results obtained by testing two rainfall-runoff models on a sample of 2050 watersheds from 8 countries and calibrated with two alternative objective functions (NSE and KGE). …”
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Entwicklung eines Editors zur Erstellung und Bearbeitung Pflegerischer Informationsobjekte (PIOs) zur Pflegeüberleitung by Regner, Matthias, Werlitz, Viktor, Kleybolte, Lukas, Mess, Elisabeth Veronika, Balic, Sabahudin, Daufratshofer, Lisa, Tilmes, Sabrina, Mahler, Andreas, Heidegger, Phillip, Reuter, Claudia, Teynor, Alexandra

“…A lessons-learned chapter explicitly addresses potential improvements for subsequent PIO software.…”
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Optimal DCE design for modelling nonlinear time preferences in EQ-5D-5L valuation studies: exploration of data from Denmark and Peru by Alice Yu, Deborah Street, Marcel Jonker, Sterre Bour, Brendan Mulhern, Federico Augustovski, Cathrine Jensen, Claire Gudex, Morten Jensen, Romina Tejada, Richard Norman, Rosalie Viney, Elly Stolk

“…Mixed logit models that used exponential discounting to account for nonlinear time preferences were estimated in OpenBUGS. This was tested in a sample of respondents from Peru (n = 942) and Denmark (n = 988). …”
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Applying interpretable machine learning to assess intraspecific trait divergence under landscape‐scale population differentiation by Sambadi Majumder, Chase M. Mason

“…This type of approach can be used to parse large plant trait datasets in a wide range of contexts, including explicitly testing the applicability of interspecific paradigms at intraspecific scales.…”
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GOMFuNet: A Geometric Orthogonal Multimodal Fusion Network for Enhanced Prediction Reliability by Yi Guo, Rui Zhong

“…We demonstrate GOMFuNet’s effectiveness through comprehensive experiments, including confidence calibration analysis and robustness tests, and validate its practical utility via a case study on educational performance prediction using structured, textual, and audio data. …”
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A Mass‐Conserving‐Perceptron for Machine‐Learning‐Based Modeling of Geoscientific Systems by Yuan‐Heng Wang, Hoshin V. Gupta

“…The MCP exploits the inherent isomorphism between the directed graph structures underlying both PC models and GRNNs to explicitly represent the mass‐conserving nature of physical processes while enabling the functional nature of such processes to be directly learned (in an interpretable manner) from available data using off‐the‐shelf ML technology. …”
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A computational model of lipopolysaccharide-induced nuclear factor kappa B activation: a key signalling pathway in infection-induced preterm labour. by Gemma C Sharp, Hongwu Ma, Philippa T K Saunders, Jane E Norman

“…This is the first model of this pathway to explicitly include molecular interactions upstream of Nuclear Factor kappa B activation. …”
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Advances in the diagnosis and treatment of atopic eruption in pregnancy by LIU Ping, REN Shiju, ZENG Qifeng, CAI Min, DIAO Qingchun, WANG Yuyi

“…Its diagnosis is primarily based on clinical presentation, medical history, and necessary laboratory tests, requiring differentiation from other pregnancy-related dermatoses such as pemphigoid gestationis. …”
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Generalization bias in large language model summarization of scientific research by Uwe Peters, Benjamin Chin-Yee

“…Even when explicitly prompted for accuracy, most LLMs produced broader generalizations of scientific results than those in the original texts, with DeepSeek, ChatGPT-4o, and LLaMA 3.3 70B overgeneralizing in 26–73% of cases. …”
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Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams by Nenad Stefanovic, Vladimir Mladenovic, Borisa Jovanovic, Ron Dabora, Asutosh Kar

“…The proposed framework facilitates simple and intuitive implementation and testing of NOMA schemes and can be easily expanded and implemented on commercially available SDR hardware. …”
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Transgender health issues addressed in research on telehealth use: a scoping review by Susanne Gahbauer, Susanne Gahbauer, Daniela Haluza

“…Telehealth is a valuable tool for reminding transgender-persons to undergo HIV testing, hormone injections, and voice training. Despite increased awareness of the unique health needs of transgender-individuals in recent years, effectively addressing their concerns remains challenging. …”
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