Agricultural Text Classification Method Based on ERNIE 2.0 and Multi-Feature Dynamic Fusion by Xuliang Duan, Yuhai Liu, Zhenjia You, Zhiyao Li

“…However, the dispersion, complexity, and difficulty in collecting agricultural data pose significant challenges to achieving efficient and accurate text classification. …”
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Instantaneous Metabolic Energetics: Data-Driven Modeling Using Function-Based Surrogates and Gradient Boosting by Christopher Buglino, William Z. Peng, Stacy Ashlyn, Hyunjong Song, Howard J. Hillstrom, Joo H. Kim

“…Conclusion: The proposed approach provides an alternative to experimental MEE measurement while balancing the generalizability and complexity trade-off typically imposed on existing computational, predictive models. …”
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Tropical Rice Mapping Using Time-Series SAR Images and ESF-Seg Model in Hainan, China, from 2019 to 2023 by Yazhe Xie, Lu Xu, Hong Zhang, Mingyang Song, Ji Ge, Fan Wu

“…Tropical and subtropical Asia is the major rice-producing region in the world, but the complexity of the cropping system and the diversity of the topography bring challenges to the accurate monitoring of rice cultivation. …”
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Beyond the closed-forest paradigm: Cross-scale vegetation structure in temperate Europe before the late-Quaternary megafauna extinctions by Elena A. Pearce, Florence Mazier, Charles W. Davison, Oliver Baines, Szymon Czyżewski, Ralph Fyfe, Krzysztof Bińka, Steve Boreham, Jacques-Louis de Beaulieu, Cunhai Gao, Wojciech Granoszewski, Anna Hrynowiecka, Małgorzata Malkiewicz, Tim Mighall, Bożena Noryśkiewicz, Irena Agnieszka Pidek, Jaqueline Strahl, Hanna Winter, Jens-Christian Svenning

“…Local landscapes presented a heterogeneous mosaic, with averages of 17 % open vegetation, 21 % closed forests, and 63 % light woodlands, reflecting high fine-scale heterogeneity. …”
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Creating Blood Analogs to Mimic Steady-State Non-Newtonian Shear-Thinning Characteristics Under Various Thermal Conditions by Hang Yi, Alexander Wang, Christopher Wang, Jared Chong, Chungyiu Ma, Luke Bramlage, Bryan Ludwig, Zifeng Yang

“…This work bridges the gap between idealized steady-state non-Newtonian viscosity models of blood and the complexities of real-world physiological conditions, offering a versatile platform for advancing particle image velocimetry tests and hemodynamics modeling, optimizing therapeutic interventions, and enhancing biomedical technologies in temperature-sensitive environments.…”
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Touch of Privacy: A Homomorphic Encryption-Powered Deep Learning Framework for Fingerprint Authentication by U. Sumalatha, K. Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak

“…One real fingerprint per user is encrypted and stored for authentication, reducing computational complexity. The CNN classifies encrypted features without decryption, ensuring secure authentication. …”
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Evaluating the accuracy of nine canopy resistance models in estimating winter wheat evapotranspiration using the Penman–Monteith equation by Yingnan Wu, Qiaozhen Li, Xiuli Zhong, Xiaoying Liu

“…Considering both the accuracy and calculation complexity, the FA and KP models were recommended to be used in the PM equation to estimate daily and seasonal ET in semiarid regions. …”
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Assessing the impact of a negative air ionization system on particulate matter and gaseous pollutants in the swine farrowing environment. by Magnus R Campler, Yi-Fan Shen, Leonardo M Klüppel, Andréia G Arruda

“…Comparisons between L-ON and L-OFF treatments were conducted by averaging room and day specific measurements for all days when rotating rooms shared contrasting treatments. …”
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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

“…Here, multiple objective functions using three different spatio-temporal averaging approaches are assessed for their suitability in calibrating and evaluating the model's output. …”
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Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

“…The approach incorporates current moisture content, rather than averaged values, along with seasonality (both daily and annual), and key climatic factors to predict next step moisture. …”
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Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning by Umile Giuseppe Longo, Sergio De Salvatore, Alice Piccolomini, Nathan Samuel Ullman, Giuseppe Salvatore, Margaux D'Hooghe, Maristella Saccomanno, Kristian Samuelsson, Rocco Papalia, Ayoosh Pareek

“…Pertinent findings and patterns in AI/ML methods utilization, as well as their applications, were quantitatively summarized and described using frequencies, averages and proportions. This study used a modified eight‐item Methodological Index for Non‐Randomized Studies (MINORS) checklist for quality assessment. …”
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The impact of interactive motor-cognitive dual tasking on brain activation, functional connectivity, and behavioral performance in healthy adults: an fNIRS study by Xiaohan Li, Lifeng Tang, Yuting Zhang, Lin Ye, Lifeng Zhou, Min Tang

“…Behaviorally, participants exhibited slower gait parameters and reduced cognitive performance as task complexity increased, highlighting the impact of dual-task interference.…”
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Differential aridity-induced variations in ecosystem multifunctionality between Iberian Pinus and Quercus Mediterranean forests by Cristina C. Bastias, Ginés Rodríguez Castilla, Pablo Salazar Zarzosa, Aurelio Díaz Herraiz, Nuria González Herranz, Paloma Ruiz-Benito, Vidal Barrón, José Luis Quero Pérez, Rafael Villar

“…Yet, the application of this pattern to forests remains uncertain due to their inherent structural complexity and the critical influence of species identity, which make the aridity-multifunctionality relationship not straightforward. …”
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Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data by Oussama Arab, Soufiana Mekouar, Mohamed Mastere, Roberto Cabieces, David Rodríguez Collantes

“…This proposed methodology improved the detection of an imbalanced dataset, although challenges remain in both interpretability and computational complexity. We created a synthetic dataset of 1000 samples using realistic feature ranges that mimic the Rif data region to test model performance and conduct sensitivity analysis. …”
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Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration by C. A. Bieri, F. Dominguez, G. Miguez-Macho, Y. Fan

“…Compared to the control case, there is a domain-averaged increase in transpiration of about 29 % during dry months in the ROOT experiment. …”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

“…When these agents work together in the system, it is imperative to tackle the complexities of distributed deep learning. We suggest a novel approach that uses a voting mechanism and dynamic SelectOut inside the FL framework to address these problems. …”
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Characterisation and synchronisation of a netted software defined radio radar by Ferran Valdes Crespi, Angel Slavov, Matthias Weiß, Peter Knott, Daniel O’Hagan

“…Multistatic radar systems exploit wide spatial diversity to enhance target detection and tracking, albeit with increased complexity when compared to a monostatic configuration. …”
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Stages of Carboniferous-Triassic magmatism in the Black Sea region based on isotope-geochronological study of detrital zircons from jurassic coarse clastic strata of the Mountainou... by T. V. Romanyuk, N. V. Kuznetsov, S. V. Rud’ko, A. A. Kolesnikova, D. V. Moskovsky, A. S. Dubensky, V. S. Sheshukov, S. M. Lyapunov

“…The comparison shows a high degree of similarity of the averaged age characteristics of the main detrital zircon populations. …”
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Atrioventricular conduction abnormalities are associated with poor outcome following intermittent umbilical cord occlusions in fetal sheep by Juulia Lantto, Jonas Johnson, Heikki Huhta, Mervi Haapsamo, Panu Kiviranta, Kati Räsänen, Hanna‐Marja Voipio, Sven‐Erik Sonesson, Juha Voipio, Juha Räsänen, Ganesh Acharya

“…One fetus with third‐degree AV block had no detectable QRS complexes at birth, developed ventricular tachycardia and fibrillation (VT/VF) during CPR, and was successfully defibrillated. …”
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Improved Sliding Mode Active Disturbance Rejection Control for Single-inductance Dual-output Buck Converter by HUANG Jinfeng, ZHOU Jie

“…First, a state-space averaged model of the SIDO Buck converter in continuous conduction mode is developed, and the mechanism of cross-coupling between output branches is analyzed. …”
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