Thermal Avalanches Drive Logarithmic Creep in Disordered Media by Daniel J. Korchinski, Dor Shohat, Yoav Lahini, Matthieu Wyart

“…We show that these predictions hold both in numerical models of amorphous solids, as well as in experiments with thin crumpled sheets. …”
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Brief communication: Monitoring snow depth using small, cheap, and easy-to-deploy snow–ground interface temperature sensors by C. L. Bachand, C. L. Bachand, C. Wang, B. Dafflon, L. N. Thomas, L. N. Thomas, I. Shirley, S. Maebius, S. Maebius, C. M. Iversen, K. E. Bennett

“…We trained a random forest machine learning model to predict snow depth from variability in snow–ground interface temperature. …”
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Controls of Slab Subduction and Tearing on the Magmatism of Wrangell Volcanoes in South‐Central Alaska by Meng Liu, Haiying Gao

“…Our model reveals three key features, including (a) the presence of the subducting Yakutat slab with apparent velocity reductions near the trench and within its flat segment, (b) two slab segments beneath the Wrangell volcanic field, differing in steepness, depth, and seismic velocity, and aligning spatially with the northwestern and southeastern volcano clusters, and (c) the existence of slab windows between the Yakutat and Wrangell slabs and between the northwestern and southeastern portions of the Wrangell slab. …”
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Characterization of Crystal Properties and Defects in CdZnTe Radiation Detectors by Manuel Ballester, Jaromir Kaspar, Francesc Massanés, Srutarshi Banerjee, Alexander Hans Vija, Aggelos K. Katsaggelos

“…This characterization allows us to mitigate and compensate for the undesired effects caused by crystal impurities. We tested our model with computer-generated noise-free input data, where it showed excellent accuracy, achieving an average RMSE of 0.43% between the predicted and the ground truth crystal properties. …”
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LAGOS-US LANDSAT: Remotely sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020 by Patrick J. Hanly, Katherine E. Webster, Patricia A. Soranno

“…Two random forest models were fit for each variable: Holdout-data (75/25 spatially representative train-test split) and Full-data (trained on all data). …”
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A Multi-Modal Attentive Framework That Can Interpret Text (MMAT) by Vijay Kumari, Sarthak Gupta, Yashvardhan Sharma, Lavika Goel

“…Questions such as “What temperature is my oven set to?” need the models to understand objects in the images visually and then spatially identify the text associated with them. …”
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Advances on the Links Between Turbulent and Submeso‐ to Mesoscales During EUREC4A by E. Gauvrit, M.‐N. Bouin, J.‐M. Delouis, F. Boulanger

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Evaluation of potential productivity in coniferous forests by integrating field data and aerial laser scanning in Hidalgo, México by Rodrigo Ramos-Madrigal, Héctor M. de los Santos-Posadas, José René Valdez-Lazalde, Efraín Velasco-Bautista, Gregorio Ángeles-Pérez, Alma Delia Ortiz-Reyes

“…The Hossfeld IV anamorphic model adjusted as MEM and autocorrelation corrected model showed the best performance for predicting DH growth with R2adj of 0.87 and RMSE of 2.11 m. …”
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Unsupervised semantic label generation in agricultural fields by Gianmarco Roggiolani, Julius Rückin, Marija Popović, Jens Behley, Cyrill Stachniss, Cyrill Stachniss

“…Using our generated labels to train deep learning models boosts our prediction performance on previously unseen fields with respect to unseen crop species, growth stages, or different lighting conditions. …”
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Theoretical Studies on the Longitudinal Inhomogeneity of Track Stiffness and a Track Status Estimation Method by Wen Bai, Lei Xu

“…Due to material multiplicity, rigid-flexible hybrid and environmental variations, and so forth, the properties of the tracks will be inevitably changed due to the cyclic loads temporally and spatially. In this paper, a theoretical study is conducted to clarify the influence of the longitudinal inhomogeneity of track stiffness on system responses and then a general state estimation method is proposed to inversely predict the parametric distribution of the tracks. …”
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Ten‐Year Hindcast Assessment of an Improved Probabilistic Forecast System for Cyanotoxin (Microcystins) Risk Level in Lake Erie by Qianqian Liu, Mark D. Rowe, Richard P. Stumpf, Reagan Errera, Casey Godwin, Justin D. Chaffin, Eric J. Anderson, Tongyao Pu

“…This approach combines a 5‐day chlorophyll‐a forecast model, a weekly updated regression model predicting MCs from chlorophyll‐a, and an empirical relationship between predicted MCs and observed probability of MCs exceeding the threshold calibrated over a hindcast period. …”
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The diverse pathways of social inequality transmission in the neighbourhood by Agata Troost

“… This PhD thesis aims to move beyond the standard treatments of neighbourhoods in research on spatially transmitted inequality. The research questions explored in the four empirical chapters of the thesis delve into under-researched elements of sociospatial inequality transmission in neighbourhoods. …”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We demonstrate how existing open-source datasets can be spatially integrated and subsequently used as training for machine learning (ML) models to predict building occupancy type, a major component needed for disaster preparedness and decision -making. …”
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Elastic energy storage and radial forces in the myofilament lattice depend on sarcomere length. by C David Williams, Michael Regnier, Thomas L Daniel

“…Here we develop a fully three-dimensional spatially explicit model of muscle to isolate the locations of forces and energies that are difficult to separate experimentally. …”
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Power efficiency of outer hair cell somatic electromotility. by Richard D Rabbitt, Sarah Clifford, Kathryn D Breneman, Brenda Farrell, William E Brownell

“…The model includes a mixture-composite constitutive model of the active lateral wall and spatially distributed electro-mechanical fields. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…The extracted canopy features were progressively grouped into seven input feature groups for model training. Model overall performance metrics were optimized with grid search-based hyperparameter tuning and repeated-k-fold-cross-validation. …”
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Two species competition with a 'non-smooth' Allee mechanism: applications to soybean aphid population dynamics under climate change by Aniket Banerjee, Urvashi Verma, Margaret T. Lewis, Rana D. Parshad

“…Motivated by these empirical results, we considered the effect of non-smooth Allee type mechanisms, for the two species Lotka-Volterra competition model. We showed that this mechanism can alter classical competitive dynamics in both the ordinary differential equation (ODE) as well as the spatially explicit setting. …”
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Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution by Jing Duan, Yuanlong Li, Yilong Lyu, Zhao Jing, Fan Wang

“…Changes in surface winds drove meridional heat redistribution via Rossby wave dynamics, leading to regional warming and cooling structures and a more complex historical heat storage than models predict. Despite this, enhanced anthropogenic warming has already been emerging in marginal seas along the North Pacific basin rim, for which we shall prepare for the pressing consequences such as increasing marine heatwaves.…”
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Does telework weaken urban structure–travel relationships? by Erik Elldér

“…If so, traditional distance- and location-based models and policies for predicting and planning transport may prove less accurate and effective than currently assumed.…”
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Design and results from a national soil carbon stock benchmarking and monitoring system for agricultural land in New Zealand by Paul L. Mudge, Georgie L. Glover-Clark, Stephen J.E. McNeill, Zach Dewhurst, Veronica Penny, Jonno Rau, Emily McKay, Carolyn B. Hedley, Andre Eger, Scott Fraser, Ngaire Foster, Pierre Roudier, Sam R. McNally, Maya Korth, Nina Koele, Shana Dooley, Lena E. Reifschneider, Lauren O’Brien, Anthony Ward, Thomas Caspari, Maddison Bingham, James Arbuckle, Hamish Maule, Kaleb McCollum, Gerard Grealish, Balin Robertson, Maya Greet, Amy Milnes, Louis A. Schipper

“…National-scale changes of SOC stocks in New Zealand’s mineral soils, reported to meet international requirements, are currently predicted based on transitions of land use using a statistical model calibrated with historic data. …”
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