Prenatal exposure to criteria air pollution and traffic-related air toxics and risk of autism spectrum disorder: A population-based cohort study of California births (1990–2018) by Karl O’Sharkey, Sanjali Mitra, Ting Chow, Seung-a Paik, Laura Thompson, Jason Su, Myles Cockburn, Beate Ritz

“…Air toxics consistently exhibited elevated ASD risks, highlighting persistent vulnerabilities despite reductions in criteria pollutants. Conclusions: Prenatal/early-life exposure to AP, especially traffic-related toxics, is linked to increased ASD risk with temporal and spatial variability. …”
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Biogeochemical functioning of Lake Alaotra (Madagascar): a reset of aquatic carbon sources along the land–ocean aquatic continuum by V. F. Razanamahandry, A. V. Borges, L. Brosens, C. Morana, T. Razafimbelo, T. Rafolisy, G. Govers, S. Bouillon

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Exploring the effect of multi-modal intervention against cognitive decline on atrophy and small vessel disease imaging markers in the AgeWell.de imaging study by Frauke Beyer, Lukas Kleine, Andrea Zülke, Melanie Luppa, Toralf Mildner, Jochen Gensichen, Thomas Frese, David Czock, Birgitt Wiese, Hans-Helmut König, Hanna Kaduszkiewicz, Wolfgang Hoffmann, Jochen René Thyrian, Arno Villringer, Steffi Riedel-Heller, A.Veronica Witte

“…Preliminary evidence suggested an association of the intervention, increased cerebral blood flow and systolic blood pressure reductions.Abbreviations: ECT, entorhinal cortex thickness; FW, free water fraction; WHO, world health organization; AD, Alzheimer’s disease; VCI, vascular cognitive impairment; FINGER, Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability; MTL, medial temporal lobe; MIND, Mediterranean-DASH Intervention for Neurodegenerative Delay diet; cSVD, cerebral small vessel disease; WMH, white matter hyperintensities of presumed vascular origin; PSMD, peak width of the mean diffusivity distribution; WW-FINGERS, world wide FINGER studies; CAIDE, Cardiovascular Risk Factors, Aging, and Incidence of Dementia; GPP, general practitioner praxis; MRI, magnetic resonance imaging; MST, Mnemonic Similarity Test; TE, echo time; TR, repetition time; FA, flip angle; FOV, field of view; GRAPPA, GeneRalized Autocalibrating Partial Parallel Acquisition; CMRR, Center for Magnetic Resonance Research; BOLD, blood oxygenation level dependent; pcASL: pseudo-continuous arterial spin labeling; EPI, echo-planar imaging; FLAIR, fluid attenuated inversion recovery; CBF, cerebral blood flow; QA, quality assessment; GM, gray matter; HCV, hippocampal volume; eICV, estimated intracranial volume; DWI, diffusion-weighted imaging; MD, mean diffusivity; FA, fractional anisotropy
TBSS: tract-based spatial statistics; CSF, cerebral spinal fluid; ISI, inter-stimulus interval; LDI, lure discrimination index; REC, recognition score; CG, control group; IG, intervention group; MoCA, Montreal Cognitive Assessment; CASMIN, Comparative Analysis of Social Mobility in Industrial Nations; BMI, body mass index; SBP/DBP, systolic/diastolic blood pressure; OSF, open science framework; LMM, linear mixed model; ANOVA, analysis of covariance.…”
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Geospatial Data and Deep Learning Expose ESG Risks to Critical Raw Materials Supply: The Case of Lithium by Christopher J. M. Lawley, Marcus Haynes, Bijal Chudasama, Kathryn Goodenough, Toni Eerola, Artem Golev, Steven E. Zhang, Junhyeok Park, Eleonore Lèbre

“…The high AUC of the deep learning model demonstrates that public geospatial data can accurately predict natural resources conflicts, but we show that machine learning results are biased by proxies for population density and likely underestimate the potential for conflict in remote areas. …”
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Tree Species Classification at the Pixel Level Using Deep Learning and Multispectral Time Series in an Imbalanced Context by Florian Mouret, David Morin, Milena Planells, Cécile Vincent-Barbaroux

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Recurrent neural networks for anomaly detection in magnet power supplies of particle accelerators by Ihar Lobach, Michael Borland

“…We demonstrate that the RNN outperforms a reasonably complex physics-based model at predicting the PS temperatures and at anomaly detection. …”
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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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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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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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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

“…We improved an approach to predict the spatially and temporally resolved probability of microcystins (MCs) exceeding a threshold level (6 μg L−1) in western Lake Erie. …”
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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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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

“…Recent empirical evidence points to differential fitness in the pestiferous aphid biotypes under abiotic stresses such as flooding. As climate change predicts increased flooding in the North Central United States, mathematical models that incorporate such factors are required to better inform pest management strategies. …”
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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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The home field advantage of modern plant breeding. by Patrick M Ewing, Bryan C Runck, Thomas Y J Kono, Michael B Kantar

“…In contrast, ecological theory predicts that across environments that vary spatially or temporally, the most productive population will be a mixture of narrowly adapted specialists. …”
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