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  1. 5341

    Multiscale excitations in the diluted two-dimensional S=1/2 Heisenberg antiferromagnet by Liuyun Dao, Hui Shao, Anders W. Sandvik

    Published 2025-06-01
    “…A magnon with anomalous logarithmic dispersion, close to our result, was predicted in spin wave and T-matrix theory [Chernyshev et al., Phys. …”
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  2. 5342

    Characterizing Soil and Bedrock Water Use of Native California Vegetation by Alan L. Flint, Lorraine E. Flint, Michelle A. Stern, David D. Ackerly, Ryan Boynton, James H. Thorne

    Published 2024-12-01
    “…Hydrology models typically are not able to address water availability below the mapped soil profile, but we refined a landscape hydrology model, the Basin Characterization Model, by balancing measures of actual evapotranspiration (AET) with modeled subsurface soil water holding capacity, including bedrock storage. …”
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  3. 5343

    Subglacial water amplifies Antarctic contributions to sea-level rise by Chen Zhao, Rupert Gladstone, Thomas Zwinger, Fabien Gillet-Chaulet, Yu Wang, Justine Caillet, Pierre Mathiot, Leopekka Saraste, Eliot Jager, Benjamin K. Galton-Fenzi, Poul Christoffersen, Matt A. King

    Published 2025-04-01
    “…We demonstrate that water at the base of ice sheets influences sliding behaviour and that its exclusion from models can underestimate sea-level rise projections and delay the predicted onset of tipping points. …”
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  4. 5344
  5. 5345

    Forecasting the Influence of Climate Change on Agroecosystem Services: Potential Impacts on Honey Yields in a Small-Island Developing State by Diana L. Delgado, María Eglée Pérez, Alberto Galindo-Cardona, Tugrul Giray, Carla Restrepo

    Published 2012-01-01
    “…The four models varied in terms of their predictions but showed that both honey yields and areas suitable for honey production will decrease under scenarios of climate change. …”
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  6. 5346
  7. 5347

    Assessing Differences in Groundwater Hydrology Dynamics Between In Situ Measurements and GRACE-Derived Estimates via Machine Learning: A Test Case of Consequences for Agroecologica... by Lucas J. Heintzman, Zahra Ghaffari, Abdel R. Awawdeh, Damien E. Barrett, Lance D. Yarbrough, Greg Easson, Matthew T. Moore, Martin A. Locke, Hakan I. Yasarer

    Published 2024-11-01
    “…Herein, we examined differences in groundwater monitoring approaches (observed [in situ, O] vs. predicted [GRACE-derived, P]) within the Yazoo–Mississippi Delta (YMD), an agroecosystem in the southeastern USA. …”
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  8. 5348

    Quantum entropy-driven modifications to holographic dark energy in f(G, T) gravity by Giuseppe Gaetano Luciano

    Published 2025-05-01
    “…Finally, we evaluate the observational viability of our results and compare them with predictions from alternative reconstructed dark energy models.…”
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  9. 5349

    Revisiting cosmic acceleration with DESI BAO by Jincheng Wang, Hongwei Yu, Puxun Wu

    Published 2025-08-01
    “…Our findings indicate significant deviations from the predictions of the $$\Lambda $$ Λ CDM model. Specifically, DESI BAO, DESI BAO + CMB, DESI BAO + CMB + Union3, and DESI BAO + CMB + DESY5 all provide strong evidence for a slowing down of cosmic acceleration at late times, as indicated by $$j(0) < 0$$ j ( 0 ) < 0 at more than 1 $$\sigma $$ σ confidence level, within the framework of $$w_0w_a$$ w 0 w a CDM model. …”
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  10. 5350

    Multimessenger Probes of Supermassive Black Hole Spin Evolution by Angelo Ricarte, Priyamvada Natarajan, Ramesh Narayan, Daniel C. M. Palumbo

    Published 2025-01-01
    “…We further predict spin distributions accessible via spatially resolved event horizons by the next-generation Event Horizon Telescope and Black Hole Explorer, as well as gravitational waves by the Laser Interferometer Space Antenna (LISA), each of which offers unique and distinct windows into the population of spinning BHs. …”
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  11. 5351

    Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques by Arati Reddy Nilap, H. N. Rajakumara, Ali Aldrees, Hasan Sh. Majdi, Wahaj Ahmad Khan

    Published 2025-01-01
    “…The model satisfactorily predicted runoff from the simulated data analysis with evaluation criteria NSE = 0.9945, MAE = 5.4121, r = 0.9975, R2 = 0.9949, RMSE = 6.8117 and PBias = 1.1436. …”
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  12. 5352

    Tensor network analysis of the maple-leaf antiferromagnet spangolite by Philipp Schmoll, Harald O. Jeschke, Yasir Iqbal

    Published 2025-08-01
    “…Experimental measurements revealed a non-magnetic ground state at T ~ 8 K with magnetic properties dominated by dimerization. We propose a spatially anisotropic Heisenberg model for the Cu2+ spin-1/2 degrees of freedom on this geometrically frustrated and effectively two-dimensional maple-leaf lattice, featuring five symmetry inequivalent couplings with ferromagnetic bonds on hexagons and antiferromagnetic triangular bonds. …”
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  13. 5353

    The impact of offshore wind turbine foundations on local hydrodynamics and stratification in the Southern North Sea by Erik Hendriks, Kobus Langedock, Luca A. van Duren, Jan Vanaverbeke, Wieter Boone, Karline Soetaert, Karline Soetaert

    Published 2025-08-01
    “…Furthermore, our research provides valuable data for validating and improving the models used to predict the ecological impact of OWFs.…”
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  14. 5354

    Variations of soil thermal conductivity in the Three-River Source Region, Qinghai‒Xizang Plateau by Jia Liu, Dong-Liang Luo, Wen-Jie Lei, Fang-Fang Chen, Rui-Xia He, Cheng-Song Yang, Yan Lu, Shi-Zhen Li

    Published 2025-06-01
    “…Meanwhile, our results show that an artificial neural network model (R2 = 0.78, p < 0.0001) incorporating ten measured soil physical parameters, outperforms traditional theoretical and empirical models in predicting STC. …”
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  15. 5355

    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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  16. 5356

    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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  17. 5357

    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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  18. 5358

    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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  19. 5359

    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
    “…To improve their efficacy and expand their applicability to solid tumors, scientists optimize different CARs with different modifications. However, predicting and ranking the efficacy of different "off-the-shelf" immune products (e.g., CAR or Bispecific T-cell Engager [BiTE]) and selection of clinical responders are challenging in clinical practice. …”
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  20. 5360

    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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