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  1. 4281

    Energy-dependent Transport of Cosmic Rays in the Multiphase, Dynamic Interstellar Medium by Lucia Armillotta, Eve C. Ostriker, Nora B. Linzer

    Published 2025-01-01
    “…To interpret these numerical results, we develop a two-zone analytic model that captures and links the two (physically and spatially) distinct regimes of CR transport in the multiphase, dynamic ISM. …”
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  2. 4282

    Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma by Rimbaud, Loup, Papaïx, Julien, Rey, Jean-François, Moury, Benoît, Barrett, Luke G., Thrall, Peter H.

    Published 2023-05-01
    “…Using the demogenetic, spatially explicit, temporal, stochastic model landsepi, this study is a first attempt to investigate how resistance efficiency, age at the time of resistance activation and target pathogenicity trait jointly impact resistance durability and disease control at the landscape scale. …”
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  3. 4283

    Spatiotemporal dynamics of future hydrology in the Pearl River Basin: Controls of climate change and land surface by Ying Zhang, Jianping Gan

    Published 2025-04-01
    “…Driven by an optimized subset of General Circulation Models through a comprehensive framework of multi-level calibrations, we employed a well-validated Soil and Water Assessment Tool to predict streamflow and investigate the underlying dynamics in the basin. …”
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  4. 4284

    Translational control by the DEAD Box RNA helicase belle regulates ecdysone-triggered transcriptional cascades. by Robert J Ihry, Anne L Sapiro, Arash Bashirullah

    Published 2012-01-01
    “…The accumulation of E74A mRNA in belle mutant salivary glands is a result of auto-regulation, fulfilling a prediction made by Ashburner nearly 40 years ago. In this model, Ashburner postulates that, in addition to regulating secondary response genes, protein products of primary response genes like E74A also inhibit their own ecdysone-induced transcription. …”
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  5. 4285

    Multi‐Frequency Oscillatory Hydraulic Tomography Improves Heterogeneity Imaging and Resolution and Reduces Uncertainty by Jeremy R. Patterson, Michael Cardiff

    Published 2025-05-01
    “…Abstract Understanding subsurface heterogeneity is crucial to predicting groundwater flow pathways, mixing, and other processes in aquifers and other fluid reservoirs. …”
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  6. 4286

    Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks by Yongxu Zhang, Catalin Mitelut, David J. Arpin, David Vaillancourt, Timothy Murphy, Shreya Saxena

    Published 2025-01-01
    “…To enable the network to utilize all temporal features of the neural input data, and to enhance the memory of recurrent neural networks, this paper proposes a novel approach: recurrent neural networks with time-varying weights, here termed Time-varying recurrent neural networks. These models are able to not only predict the class of the time-sequence correctly, but also lead to accurate classification earlier in the sequence than standard recurrent neural networks, while also stabilizing gradient dynamics. …”
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  7. 4287

    NF-κB RelA regulates temporal oligodendrocyte differentiation in the postnatal brains by Kamonrapat Sompub, Norihisa Bizen, Albert S. Baldwin, Albert S. Baldwin, Hirohide Takebayashi, Hirohide Takebayashi, Hirohide Takebayashi

    Published 2025-07-01
    “…In RelA cKO mice, we observed a transient delay of oligodendrocyte differentiation in the postnatal cerebral cortex, albeit in a spatially and temporally restricted manner. Similarly, in the primary cultured oligodendrocyte differentiation model, the loss of RelA resulted in impaired terminal differentiation. …”
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  8. 4288

    AI-based defect detection and self-healing in metal additive manufacturing by Jan Akmal, Kevin Minet-Lallemand, Jukka Kuva, Tatu Syvänen, Pilvi Ylander, Tuomas Puttonen, Roy Björkstrand, Jouni Partanen, Olli Nyrhilä, Mika Salmi

    Published 2025-12-01
    “…A convolutional neural network was trained (n = 211) and was verified with XCT. The model demonstrated prediction accuracy of 94% for the six classes of unfamiliar defective regions. …”
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  9. 4289

    Experimental measurement of mean transition path velocities of colloidal particles surmounting energy barriers by Brandon R Ferrer, Juan Ruben Gomez-Solano

    Published 2024-01-01
    “…Owing to the slow dynamics of the bead in this viscous medium, we can spatially resolve the mean velocity profiles of the transition paths for distinct potentials, which agree with theoretical predictions of a one-dimensional model for the motion of a Brownian particle traversing a parabolic barrier. …”
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  10. 4290

    Isotopic niche plasticity of American alligators within the southern Everglades. by Mathew J Denton, Michael S Cherkiss, Frank J Mazzotti, Laura A Brandt, Sidney T Godfrey, Darren Johnson, Kristen M Hart

    Published 2025-01-01
    “…Alligators within the estuary had a larger niche driven by a wider range in stable carbon isotope ratios than those sampled in freshwater habitats. Spatially, model predictability was higher at the smaller scale, reflecting the variability in basal sources and biochemistry among capture sites. …”
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  11. 4291

    The influence of farm connectedness on foot‐and‐mouth disease outbreaks in livestock by Jean B. Contina, Rachel L. Seibel, Bhim Chaulagain, Karasi B. Mills, Michael J. Tildesley, Christopher C. Mundt

    Published 2024-12-01
    “…The objectives were to (1) determine the impact of connectivity of the initially infected farm on the size of FMD outbreaks in four counties of differing connectivity; (2) compare FMD spread in counties that have different mean farm connectivity levels over all farms in the county; and (3) determine how connectivity relationships affect an example control measure. We used a spatially explicit stochastic model to simulate FMD outbreaks on livestock farm operations in four UK counties. …”
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  12. 4292

    Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

    Published 2025-06-01
    “…Building on the aforementioned Fourier analysis, this study develops a cylindrical pebble-bed reactor model for steady-state 3D neutron simulation. The results demonstrate that the acceleration efficiency of the CMFD method aligns with the phenomena predicted by the Fourier analysis in cylindrical geometry. …”
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  13. 4293

    Neutrophil to Lymphocyte Ratio and Spontaneous Bacterial Peritonitis among Cirrhotic Patients: A Systematic Review and Meta-analysis by Seyed Arsalan Seyedi, Seyed Ali Nabipoorashrafi, Jairo Hernandez, Andrew Nguyen, Brandon Lucke-Wold, Shima Nourigheimasi, Shokoufeh Khanzadeh

    Published 2022-01-01
    “…The goal of this systematic review and meta-analysis was analyzing published studies on the role of neutrophil to lymphocyte ratio (NLR) in infection and spatially spontaneous bacterial peritonitis (SBP) among cirrhotic patients. …”
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  14. 4294

    Assessing Gonipterus defoliation levels using multispectral unmanned aerial vehicle (UAV) data in Eucalyptus plantations by Phumlani Nzuza, Michelle L. Schröder, Rene J. Heim, Louis Daniels, Bernard Slippers, Brett P. Hurley, IIaria Germishuizen, Benice Sivparsad, Jolanda Roux, Wouter. H Maes

    Published 2025-12-01
    “…As conventional insect pest monitoring methods are time-consuming and spatially restrictive, this study assessed the potential of UAV monitoring. …”
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  15. 4295

    Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning by Manimaran Renganathan, Palani Thanaraj Krishnan, C. Christopher Columbus, T. Sunil Kumar

    Published 2025-01-01
    “…This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine learning techniques. …”
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  16. 4296

    Estimating Near-Surface Air Temperature From Satellite-Derived Land Surface Temperature Using Temporal Deep Learning: A Comparative Analysis by Jangho Lee

    Published 2025-01-01
    “…Seasonal and diurnal evaluations show higher errors in spring and midday hours, likely due to rapid vegetation changes and stronger physical and dynamical processes that make T2M less predictable. Spatially, stations with denser vegetation exhibit elevated errors, suggesting that transpiration and canopy effects complicate the LST-T2M linkage. …”
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  17. 4297

    Skin-associated Corynebacterium amycolatum shares cobamides by M. H. Swaney, N. Henriquez, T. Campbell, J. Handelsman, L. R. Kalan

    Published 2025-01-01
    “…Therefore, we hypothesize that cobamide sharing mediates skin community dynamics. Preliminary work predicts that several skin-associated Corynebacterium species encode de novo cobamide biosynthesis and that their abundance is associated with skin microbiome diversity. …”
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  18. 4298

    In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

    Published 2022-03-01
    “…Specifically, we used artificial neural networks (ANN) to incorporate object detection into segmentation. The proposed ANN model extracts the most useful information to differentiate different IS datasets. …”
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  19. 4299

    Clinical, Genetics, and Bioinformatic Characterization of Mutations Affecting an Essential Region of PLS3 in Patients with BMND18 by Ting Chen, Haiying Wu, Chenxi Zhang, Jiarong Feng, Linqi Chen, Rongrong Xie, Fengyun Wang, Xiuli Chen, Huiting Zhou, Hui Sun, Fei Xiao

    Published 2018-01-01
    “…Further bioinformatic analyses of the previously reported mutations revealed that LOOP-1 is predicted to physically connect the calponin-homology 1 (CH1) and CH2 domains of the ABD1 fragment and spatially locates within the interface of ABD1 and ABD2. …”
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  20. 4300

    Optimization Analysis of Kitchen Cooking Environment for Air Conditioning Range Hood Based on Thermal Comfort and PM<sub>10</sub> Concentration by Shunyu Zhang, Hai Huang, Feng Ye, Fayin Wang, Liangguo Cheng, Yongqiang Tan, Zhihang Shen, Zhenlei Chen

    Published 2025-05-01
    “…Firstly, the reliability of the simulation model was verified through a comparative analysis of experimental tests and simulation data. …”
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