Including non‐growing season emissions of N2O in US maize could raise net CO2e emissions by 31% annually by Brian Buma

“…Current N2O emission estimation methods at the national scale are predominantly via emission factors. …”
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Development of a Vehicle-Bridge-Soil Dynamic Interaction Model for Scour Damage Modelling by L. J. Prendergast, D. Hester, K. Gavin

“…This paper presents a novel Vehicle-Bridge-Soil Dynamic Interaction (VBSDI) model which can be used to simulate the effect of scour on an integral bridge. The model outputs dynamic signals which can be analysed to determine modal parameters and the variation of these parameters with respect to scour can be examined. …”
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A hierarchical typology of multimodal scientific writing in early primary grades by Deborah L. Nichols, Ted Neal, Brian Hand

“…IntroductionScientific literacy in early education depends on both content knowledge and young learners' ability to organize and express scientific ideas across linguistic and visual-graphical modes. This integrative ability, known as multimodal competency, enables children to construct and communicate scientific understanding by coordinating text structure, language, and visual representation.MethodsIn this study, 1,705 science writing samples from 1,008 students in kindergarten through 2nd grade were analyzed using a two-stage quantitative approach. …”
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Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

“…For this purpose, a novel hybrid approach combined with multiscale dominant ingredient chaotic analysis, kernel extreme learning machine (KELM), and adaptive mutation grey wolf optimizer (AMGWO) is proposed. Among the methods, variational mode decomposition (VMD), phase space reconstruction (PSR), and singular spectrum analysis (SSA) are suitably integrated into the proposed analysis strategy. …”
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Non-Destructive Detection of Chilled Mutton Freshness Using a Dual-Branch Hierarchical Spectral Feature-Aware Network by Jixiang E, Chengjun Zhai, Xinhua Jiang, Ziyang Xu, Muqiu Wudan, Danyang Li

“…This study aims to achieve the high-accuracy freshness detection of chilled mutton freshness by integrating hyperspectral imaging with deep learning methods. …”
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Boundary-Aware Cross-Level Multi-Scale Fusion Network for RGB-D Salient Object Detection by Zhijun Zheng, Yanbin Peng

“…However, due to scale variation and complex backgrounds, achieving effective detection of objects at different scales in various scenes remains a challenging task. …”
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Joint spatiotemporal modelling of tuberculosis and human immunodeficiency virus in Ethiopia using a Bayesian hierarchical approach by Legesse Kassa Debusho, Leta Lencha Gemechu

“…Abstract Background The aim of this paper was to evaluate the distribution of HIV and TB in Ethiopia during four years (2015-2018) at the district level, considering both spatial and temporal patterns. Methods Consolidated data on the count of TB case notifications and the number of patients with HIV for four years, 2015-2018, were provided by the Ethiopian Federal Ministry of Health. …”
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The Hybrid Modern Network Model: A Multi-Technique Framework for Comprehensive Network Analysis by Theodoros Kyriazos, Mary Poga

“…Motivated by the need for a more comprehensive and flexible framework, the study introduces the Hybrid Modern Network Model (HMNM). The HMNM integrates foundational models like the Stochastic Block Model (SBM) and Preferential Attachment with advanced machine learning techniques, including Graph Neural Networks (GNNs), Reinforcement Learning (RL), Hierarchical Random Graphs (HRGs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs). …”
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The Tanaidacea challenge to invasion science: taxonomic ambiguities and small size result in another potential overlooked introduction to the Iberian coast and nearby areas by Anna Stępień, Anna M. Jażdżewska, Romeu S. Ribeiro, Rafael Santos, Macarena Ros

“…Here we investigate specimens that resembled both Hexapleomera sasuke and Zeuxo turkensis collected in marinas around the Iberian and Moroccan coasts. Integrating morphological and molecular methods (barcoding) we confirmed: (1) the first record and presence of well-structured populations of Z. turkensis in Spain, Portugal and Morocco, representing the first record of the species for Atlantic waters; (2) the conspecificity between H. sasuke and Z. turkensis, which should be synonymized; and (3) the wide distribution of Z. turkensis associated with human transport hubs (i.e. marinas) in the study area, showing its potential for introduction and spread. …”
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Optimization of parameters of quiet permanent magnet synchronous motor for linear drive of long-stroke single-stage piston compressor by A. A. Tatevosyan

“…The substantiation of the maximum possible efficiency of the PMSM for the sinusoidal and non-sinusoidal laws of motion of the inductor is given.PURPOSE: Obtaining a solution to the problem of optimizing the magnetic system design of a low-speed PMSM as a part of a linear drive of a single-stage reciprocating compressor for a given law of motion of the moving part that meets the criterion of maximum efficiency of an electromechanical converter.METHODS: The methods of the theory of electromechanical energy converters, theoretical electrical engineering, mathematical modeling, optimization methods, variational, differential and integral calculus, as well as experimental methods are used.RESULTS: The results of an experimental study of the developed prototype of a low-speed SDPM as a part of a linear drive of a long-stroke single-stage reciprocating compressor are presented.CONCLUSION: The highest efficiency of the PMSM is achieved when the current in the armature winding changes with time in direct proportion to the speed of the inductor. …”
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Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation by Radhey Lal, Rajiv Kumar Singh, Dinesh Kumar Nishad, Saifullah Khalid

“…Quantum-enhanced Monte Carlo simulations, employing algorithms such as Harrow-Hassidim-Lloyd (HHL) and Variational Quantum Eigensolver (VQE), achieve computational speedups of 8–15 times compared to classical methods while maintaining high accuracy. …”
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Tracing the invasion: Wing morphometrics reveal population spread and adaptation patterns of Halyomorpha halys (Stål, 1855) across Southern Europe. by Martina Pajač Beus, Darija Lemic, Hugo A Benítez, Laura M Pérez, Mojca Rot, Aleksandra Konjević, Stefanos S Andreadis, Ivana Pajač Živković

“…These results show that wing morphology can reliably detect invasion-related patterns and phenotypic plasticity and is a valuable tool for biomonitoring in integrated pest management programs, especially in areas where genetic methods are less feasible. …”
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Optimizing drug design by merging generative AI with a physics-based active learning framework by Isaac Filella-Merce, Alexis Molina, Lucía Díaz, Marek Orzechowski, Yamina A. Berchiche, Yang Ming Zhu, Júlia Vilalta-Mor, Laura Malo, Ajay S. Yekkirala, Soumya Ray, Victor Guallar

“…To address these, we developed a GM workflow integrating a variational autoencoder with two nested active learning cycles. …”
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Longitudinal analysis of genetic and environmental interplay in human metabolic profiles and the implication for metabolic health by Jing Wang, Alberto Zenere, Xingyue Wang, Göran Bergström, Fredrik Edfors, Mathias Uhlén, Wen Zhong

“…Variability in metabolic profiles, influenced by genetic makeup, lifestyle, and environmental exposures, plays a critical role in disease susceptibility and progression. Methods We conducted a two-year longitudinal study involving 101 clinically healthy individuals aged 50 to 65, integrating genomics, metabolomics, lipidomics, proteomics, clinical measurements, and lifestyle questionnaire data from repeat sampling. …”
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3D Bioprinting Strategies for Melatonin‐Loaded Polymers in Bone Tissue Engineering by Damla Aykora, Ayhan Oral, Cemre Aydeğer, Metehan Uzun

“…Owing to their variation and promising advantages, most of these methods are not translated into clinical practice. …”
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An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM by Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu

“…This study introduces an enhanced power load forecasting algorithm, integrating slime mould algorithm (SMA) and long short‐time memory (LSTM) to effectively address the hyperparameter challenges associated with LSTM, while also applying variational modal decomposition (VMD) to load forecasting. …”
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Endangered Pinto/Northern Abalone (Haliotis kamtschatkana) are Panmictic Across Their 3700 km Range Along the Pacific Coast of North America by J. L. Dimond, J. V. Bouma, F. Lafarga‐De la Cruz, K. J. Supernault, T. White, D. A. Witting

“…ABSTRACT Connectivity is integral to the dynamics of metapopulations through dispersal and gene flow, and understanding these processes is essential for guiding conservation efforts. …”
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Enhancing wheat genomic prediction by a hybrid kernel approach by Jaime Cuevas, Jose Crossa, Jose Crossa, Abelardo Montesinos-López, Johannes W. R. Martini, Guillermo Sebastiáń Gerard, Jaime Ortegón, Susanne Dreisigacker, Velu Govindan, Paulino Pérez-Rodríguez, Carolina Saint Pierre, Leonardo Abdiel Crespo Herrera, Osval A. Montesinos-López, Paolo Vitale

“…This study integrates genomic and pedigree data by leveraging advanced modeling techniques, aiming to enhance the predictive performance of genomic selection models by capturing complex genetic relationships through the interaction of both matrices and exploring the utility of non-linear methods, such as kernel matrices. …”
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Neural plasticity in early potters: Shape analysis and TMS-EEG co-registration trace the rise of a new motor skill. by Vanessa Forte, Luisa Sartori, Antonino Visalli, Mustafa Yildirim, Gaspare Galati, Massimo Vidale, Emanuela Faresin, Antonino Vallesi

“…In this study, we explored the biocultural mechanisms underlying ancient craft behaviours. Archaeological methods were integrated with neuroscience techniques to explore the impact on neuroplasticity resulting from the introduction of early pottery techniques. …”
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Designing natural gesture interaction for archaeological data in immersive environments by Niccolò Albertini, Andrea Brogni, Riccardo Olivito, Emanuele Taccola, Baptiste Caramiaux, Marco Gillies

“…Indeed,  due  to  the  complex architectural  features  and  the  still  ongoing  fieldwork  activities,  Segesta  represents  an  ideal  context  where  to  test  and develop a research approach integrating both traditional and more innovative tools and methods.…”
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