Long-term variations in pH in coastal waters along the Korean Peninsula by Y.-W. Lee, M.-O. Park, S.-G. Kim, T.-H. Kim, Y. H. Oh, S. H. Lee, D. Joung, D. Joung

“…Analysis of environmental data including temperature, salinity, chlorophyll <span class="inline-formula"><i>a</i></span>, and dissolved oxygen (DO) revealed a strong correlation between pH and DO. …”
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EARice10: a 10&thinsp;m resolution annual rice distribution map of East Asia for 2023 by M. Song, M. Song, M. Song, L. Xu, L. Xu, J. Ge, J. Ge, J. Ge, H. Zhang, H. Zhang, H. Zhang, L. Zuo, L. Zuo, J. Jiang, J. Jiang, J. Jiang, Y. Ding, Y. Ding, Y. Ding, Y. Xie, Y. Xie, Y. Xie, F. Wu, F. Wu

“…The reliability of the product was verified by <span class="inline-formula"><i>R</i>²</span> values ranging between 0.94 and 0.98 with respect to official statistics and between 0.79 and 0.98 with respect to previous rice mapping products. …”
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Automatic detection of floating instream large wood in videos using deep learning by J. Aarnink, J. Aarnink, T. Beucler, T. Beucler, M. Vuaridel, V. Ruiz-Villanueva, V. Ruiz-Villanueva

“…We analysed the contribution of each scenario to the effectiveness of the model using <span class="inline-formula"><i>k</i></span>-fold cross-validation. The mean average precision of the model varies between 35 % and 93 % and is influenced by the quality of the data that the model detects. …”
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Mid-term to long-term outcome and risk factors for failure of 158 hips with two-stage revision for periprosthetic hip joint infection by M. Abuelnour, C. McNamee, A. B. Rafi, W. Hohlbein, W. Hohlbein, P. Keogh, J. Cashman

“…The mean Western Ontario and McMaster Universities Arthritis Index (WOMAC) hip score significantly improved from 68.3 at the pre-operative stage to 35.9 at 2.1 (2 to 3.3) years, 35.3 at 5.3 (5 to 8.4) years, 38.3 at 11.3 (10–15) years and 43.8 at 18.7 (16.5 to 21.7) years (<span class="inline-formula"><i>p</i>&lt;0.01</span>). Duration of antibiotics and gram-negative infection were the only predictive risk factors for re-infection. …”
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Geomorphic imprint of high-mountain floods: insights from the 2022 hydrological extreme across the upper Indus River catchment in the northwestern Himalayas by A. Kashyap, K. L. Cook, M. D. Behera

“…The flood-affected regions had high mean basin <span class="inline-formula"><i>k</i>_sn</span> (normalized steepness index) values and stream length–gradient (SL) index values, with numerous spikes in their magnitudes along their channel profiles downstream. …”
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Assessment of the southern polar and subpolar warming in the PMIP4 last interglacial simulations using paleoclimate data syntheses by Q. Gao, Q. Gao, Q. Gao, E. Capron, L. C. Sime, R. H. Rhodes, R. Sivankutty, X. Zhang, B. L. Otto-Bliesner, M. Werner

“…The hosed 128 ka HadCM3 simulation captures much of the warming and sea ice loss shown in the four data syntheses at 127 ka relative to preindustrial: south of 40° S, modeled annual sea surface temperature (SST) rises by 1.3 <span class="inline-formula">±</span> 0.6 °C, while reconstructed average anomalies range from 2.2 to 2.7 °C; modeled summer SST increases by 1.1 <span class="inline-formula">±</span> 0.7 °C, close to the 1.2–2.2 °C reconstructed average anomalies; September sea ice area (SIA) is reduced by 40 <span class="inline-formula"><i>%</i></span>, similar to the reconstructed 40 <span class="inline-formula">%</span> reduction of sea ice concentration (SIC); over the Antarctic Ice Sheet, modeled annual surface air temperature (SAT) increases by 2.6 <span class="inline-formula">±</span> 0.4 °C, even larger than reconstructed average anomalies of 2.2 °C. …”
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Accurate space-based NO_<i>x</i> emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes by F. Cifuentes, F. Cifuentes, H. Eskes, E. Dammers, E. Dammers, C. Bryan, F. Boersma, F. Boersma

“…However, when the coarse <span class="inline-formula">1×1</span>° TM5-MP <span class="inline-formula">NO₂</span> profile used in the retrieval is replaced by the high-resolution profile of LOTOS-EUROS, the TROPOMI <span class="inline-formula">NO_<i>x</i></span> emissions are enhanced by 22 % and are in better agreement with the inventory for the Netherlands. …”
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