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

“…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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Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam. by Raja Das, Pham Van Tien, Karl W Wegmann, Madhumita Chakraborty

“…Additionally, the uncertainty of the models was quantified and spatially mapped. This multi-temporal analysis of landslide susceptibility is crucial for understanding the regional susceptibility trends and identifying areas with increasing, decreasing, and consistently high susceptibility to landslides. …”
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Quantum entropy-driven modifications to holographic dark energy in f(G, T) gravity by Giuseppe Gaetano Luciano

“…We explore the cosmological dynamics of a spatially flat Friedmann–Robertson–Walker background filled with a pressureless dust fluid, considering both conserved and non-conserved energy–momentum tensor models. …”
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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

“…Spatially, OUQ and PUQ were in northern portions of the YMD, with the OLQ and PLQ in southern portions. …”
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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

“…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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Nitric Oxide Distribution Correlates with Intraluminal Thrombus in Abdominal Aortic Aneurysm: A Computational Study by Siting Li, Shiyi Yang, Xiaoning Sun, Tianxiang Ma, Yuehong Zheng, Xiao Liu

“…Patient-specific models of the aorta and branch arteries were constructed followed by CFD simulations. …”
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Multimessenger Probes of Supermassive Black Hole Spin Evolution by Angelo Ricarte, Priyamvada Natarajan, Ramesh Narayan, Daniel C. M. Palumbo

“…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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Frequent failure of nutrients to increase plant biomass supports the need for precision fertilization in agriculture by Oliver H. Carroll, Eric W. Seabloom, Elizabeth T. Borer, W. Stanley Harpole, Peter Wilfahrt, Carlos A. Arnillas, Jonathan D. Bakker, Dana M. Blumenthal, Elizabeth Boughton, Miguel N. Bugalho, Maria Caldeira, Malcolm M. Campbell, Jane Catford, Qingqing Chen, Christopher R. Dickman, Ian Donohue, Mary Ellyn DuPre, Anu Eskelinen, Catalina Estrada, Philip A. Fay, Evan D. G. Fraser, Nicole Hagenah, Yann Hautier, Erika Hersh-Green, Ingibjörg S. Jónsdóttir, Taku Kadoya, Kimberly Komatsu, Luciola Lannes, Maowei Liang, Harry Olde Venterink, Pablo Peri, Sally A. Power, Jodi N. Price, Zhengwei Ren, Anita C. Risch, Grégory Sonnier, G. F. Veen, Risto Virtanen, Glenda M. Wardle, Elizabeth F. Waring, George Wheeler, Laura Yahdjian, Andrew S. MacDougall

“…All sites were responsive at least once, but only four of 61 responded in all plots and years. Modelled management scenarios highlighted that fertilizer cessation is likely to generate sizable economic savings but always reduces yield because of the difficulty in predicting when and where biomass will be unresponsive. …”
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Revisiting cosmic acceleration with DESI BAO by Jincheng Wang, Hongwei Yu, Puxun Wu

“…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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Spatiotemporal risk avoidance varies seasonally, relative to risk intensity, in a reestablishing predator–prey system by Cara J. Thompson, Nicole M. Tatman, Zachary J. Farley, Scott T. Boyle, Scott T. Boyle, Allison R. Greenleaf, James W. Cain

“…Risk metrics included predicted wolf presence, habitat openness, and predicted risky places modeled from attributes of locations where wolves killed elk. …”
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Environmental Gradients in Lizard Colouration by Lekshmi B. Sreelatha, Pedro Tarroso, Ossi Nokelainen, Zbyszek Boratyński, Miguel Angel Carretero

“…We studied direct and indirect (mediated by body mass) relationships between environmental variables and the lightness of lizards, by piecewise structural equation modelling. We simultaneously tested predictions from Gloger's (darker colouration in warm and humid environments), thermal melanism (darker colouration in colder environments), photoprotection (darker colouration in areas with higher intensity of solar radiation) and Bergmann's (larger body size in colder environments) hypotheses. …”
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Ventilation of the Bay of Bengal oxygen minimum zone by the Southwest Monsoon Current by P. M. F. Sheehan, B. G. M. Webber, B. G. M. Webber, A. Sanchez-Franks, B. Y. Queste

“…Consequently, we suggest that predictability of the annual oxygen flux is likely aided by understanding and predicting the physical forcing of the Southwest Monsoon Current. …”
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Multiscale excitations in the diluted two-dimensional S=1/2 Heisenberg antiferromagnet by Liuyun Dao, Hui Shao, Anders W. Sandvik

“…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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A Multidimensional Analysis Approach Toward Sea Cliff Erosion Forecasting by Maria Krivova, Michael J. Olsen, Ben A. Leshchinsky

“…Erosion is episodic and varies both spatially and temporarily; hence, forecasting erosion patterns to identify vulnerable infrastructure is immensely challenging. …”
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Quantitative Rockfall Hazard Assessment of the Norwegian Road Network and Residences at an Indicative Level from Simulated Trajectories by François Noël, Synnøve Flugekvam Nordang

“…It details how the temporal hazard component, related to the likelihood of failure, can be distributed spatially using simulated trajectories. The method can be applied with results from any process-based software and combined with various prediction methods of the temporal aspect, although this aspect is not the primary focus. …”
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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

“…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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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

“…Furthermore, our research provides valuable data for validating and improving the models used to predict the ecological impact of OWFs.…”
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Tensor network analysis of the maple-leaf antiferromagnet spangolite by Philipp Schmoll, Harald O. Jeschke, Yasir Iqbal

“…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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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

“…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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Association of Antibiotic Resistance Traits in Uropathogenic Escherichia coli (UPEC) Isolates by Md. Mostafizer Rahman, Mridha Md. Kamal Hossain, Rubaya Rubaya, Joyanta Halder, Md. Ekramul Karim, Anjuman Ara Bhuiya, Anwara Khatun, Jahangir Alam

“…However, these findings might have important implications for the development of an AMR prediction model to tackle future AMR outbreaks.…”
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