Exploring the processes controlling secondary inorganic aerosol: evaluating the global GEOS-Chem simulation using a suite of aircraft campaigns by O. G. Norman, C. L. Heald, C. L. Heald, C. L. Heald, S. Bililign, P. Campuzano-Jost, H. Coe, H. Coe, M. N. Fiddler, J. R. Green, J. L. Jimenez, K. Kaiser, J. Liao, J. Liao, A. M. Middlebrook, B. A. Nault, B. A. Nault, B. A. Nault, J. B. Nowak, J. Schneider, A. Welti

“…Across all the campaigns, the model performance is best for sulfate (<span class="inline-formula"><i>R</i>²</span> <span class="inline-formula">=</span> 0.51; normalized mean bias (NMB) <span class="inline-formula">=</span> 0.11) and worst for nitrate (<span class="inline-formula"><i>R</i>²=0.22</span>; NMB <span class="inline-formula">=</span> 1.76), indicating substantive model deficiencies in the nitrate simulation. …”
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Ice-proximal sea ice reconstruction in the Powell Basin, Antarctica, since the Last Interglacial by W. W. Khoo, J. Müller, J. Müller, J. Müller, O. Esper, W. Xiao, C. Stepanek, P. Gierz, G. Lohmann, G. Lohmann, G. Lohmann, W. Geibert, J. Hefter, G. Mollenhauer, G. Mollenhauer, G. Mollenhauer

“…We analyze the novel sea ice biomarker IPSO<span class="inline-formula">₂₅</span> (a di-unsaturated highly branched isoprenoid (HBI)), open-water biomarkers (tri-unsaturated HBIs; <span class="inline-formula"><i>z</i></span>-/<span class="inline-formula"><i>e</i></span>-trienes), and the diatom assemblage and primary productivity indicators in a marine sediment core retrieved from the Powell Basin, NW Weddell Sea. …”
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Contrasting seasonal patterns in particle aggregation and dissolved organic matter transformation in a sub-Arctic fjord by M. G. Digernes, Y. V. Bodur, M. Amargant-Arumí, O. Müller, J. A. Hawkes, S. G. Kohler, U. Dietrich, M. Reigstad, M. L. Paulsen

“…The change in POC concentrations was significantly different between the biologically productive period and the winter period (<span class="inline-formula"><i>t</i></span> test; <span class="inline-formula"><i>p</i>&lt;0.05</span>). …”
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Development of wader-fish (Rasbora argyrotaenia) and kidney beans as a supplementary food: A source of protein and minerals for toddlers aged 12-24 months by Palupi Eny, Isni Oktaviani Rachmalia, Purnaningsih Ninuk, Saraswati Yudhistira, Eka Putri Wahyu, Chandra Iwansyah Ade

“…The ratio of 70:30 was chosen as the optimal formula. One serving (125 g) contained 23.3% energy, 81.35% protein, 86.80% calcium, 74.82% iron, and 102.08% zinc.…”
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ANALISIS PEMANFAATAN PEKARANGAN UNTUK MENDUKUNG KETAHANAN PANGAN DI KECAMATAN RUMBAI PESISIR KOTA PEKANBARU YARD UTILIZATION ANALYSIS IN SUPPORT OF FOOD SECURITY INRUMBAI PESI... by Niken Nurwati, Surtinah surtinah, Amalia Masykur

“…Net income of farm yard using the formula : I = TR - TC . The utilization of research results in the District Rumbai yard Pesisir city of Pekanbaru , for vegetables , fruit and food crops is low , and the District Rumbai Pesisir of Pekanbaru City potential for increased utilization of the yard , especially commodity shallow root vegetables in a narrow area . …”
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Pregled dimenzioniranja Peltonove turbine by Ivana Sušanj Čule, Doris Vračević, Nevenka Ožanić

“…S obzirom da postoji cijeli niz različitih formula i preporuka za dimenzioniranje, cilj ovoga rada bio je objediniti i dati pregled istih na jednom mjestu. …”
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Effect of dietary protein level and lamb breed on meat physicochemical traits, fatty acid profile and nutritional indices by H. Hajji, S. Smeti, I. Mekki, N. Atti

“…The <span class="inline-formula"><i>n</i>−3</span> and <span class="inline-formula"><i>n</i>−6</span> polyunsaturated FA (PUFA) contents were higher (<span class="inline-formula"><i>P</i><i>&lt;</i>0.001</span>) for meat of fat-tailed BB than other breeds, resulting in a higher total PUFA and higher PUFA <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mo>/</mo></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="8pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="57ee8123d9c9aefcf23d9c7f6463c158"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="aab-68-57-2025-ie00001.svg" width="8pt" height="14pt" src="aab-68-57-2025-ie00001.png"/></svg:svg></span></span> SFA ratio (0.135 vs. 0.09, where SFA represents saturated fatty acid). …”
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Sustainability of regional Antarctic ice sheets under late Eocene seasonal atmospheric conditions by D. H. A. Vermeulen, M. L. J. Baatsen, A. S. von der Heydt

“…<p>The Eocene–Oligocene transition (EOT) is marked by a sudden <span class="inline-formula"><i>δ</i>¹⁸</span>O excursion occurring in two distinct phases approximately 500 kyr apart. …”
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Surface processes and drivers of the snow water stable isotopic composition at Dome C, East Antarctica – a multi-dataset and modelling analysis by I. Ollivier, I. Ollivier, H. C. Steen-Larsen, B. Stenni, L. Arnaud, M. Casado, A. Cauquoin, G. Dreossi, C. Genthon, B. Minster, G. Picard, M. Werner, A. Landais

“…We observe that the mean effect of post-depositional processes over the study period enriches the snow surface in <span class="inline-formula"><i>δ</i>¹⁸</span>O by 3.0 ‰ to 3.3 ‰ and lowers the snow surface d-excess by 3.4 ‰ to 3.5 ‰ compared to the incoming precipitation isotopic signal. …”
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Estimating ocean heat content from the ocean thermal expansion parameters using satellite data by V. P. Kondeti, S. Palanisamy

“…Statistical analysis showed high correlation coefficients and low errors in the validation of model-derived TSL and OHC for the 700 m modeling depth (<span class="inline-formula"><i>N</i></span> 388 469, <span class="inline-formula"><i>R</i></span> 0.9926 and 0.9922, RMSE 1.16 m and 1.56 GJ m<span class="inline-formula">⁻²</span>, MBE <span class="inline-formula">−0.19</span> m and <span class="inline-formula">−0.24</span> GJ m<span class="inline-formula">⁻²</span>, MBPE <span class="inline-formula">−0.46</span> % and <span class="inline-formula">−0.03</span> %, MAE 0.76 m and 1.03 GJ m<span class="inline-formula">⁻²</span>, and MAPE 2.34 % and 0.13 %) and nearly similar results at the remaining modeling depths. …”
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High-resolution mapping of global winter-triticeae crops using a sample-free identification method by Y. Fu, X. Chen, C. Song, X. Huang, J. Dong, Q. Peng, W. Yuan

“…Moreover, compared with the Cropland Data Layer (CDL) and EuroCrops datasets, the overall accuracy and <span class="inline-formula"><i>F</i>₁</span> score in most regions of the United States and Europe were more than 80 % and 75 %, respectively. …”
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Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

“…The distribution of CT follows an exponential linear distribution and can be characterized by a single slope parameter <span class="inline-formula"><i>k</i></span>. This distribution is independent of the BC core's distribution. …”
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Particle fluxes by subtropical pelagic communities under ocean alkalinity enhancement by P. Suessle, J. Taucher, S. U. Goldenberg, M. Baumann, K. Spilling, K. Spilling, A. Noche-Ferreira, A. Noche-Ferreira, M. Vanharanta, M. Vanharanta, U. Riebesell

“…We applied a <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula">₂</span>-equilibrated OAE approach; i.e., dissolved inorganic carbon (DIC) was raised simultaneously with TA to maintain seawater <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula">₂</span> in equilibrium with the atmosphere, thereby keeping perturbations of seawater carbonate chemistry moderate. …”
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Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data by K. N. Reddy, S. Baidya Roy, S. S. Rabin, D. L. Lombardozzi, D. L. Lombardozzi, G. V. Varma, R. Biswas, D. C. Naik

“…The <span class="inline-formula"><i>r</i></span> value of the monthly sensible and latent heat fluxes improved from 0.76 and 0.52 to 0.9 and 0.88, respectively. …”
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Global Navigation Satellite System (GNSS) radio occultation climatologies mapped by machine learning and Bayesian interpolation by E. Shehaj, E. Shehaj, S. Leroy, K. Cahoy, A. Geiger, L. Crocetti, G. Moeller, G. Moeller, B. Soja, M. Rothacher

“…At the six iso-heights, we obtain post-fit residuals of 10.9, 9.1, 5.3, 1.6, 0.6, and 0.3 <span class="inline-formula"><i>N</i></span> units for BI and 8.7, 6.6, 3.6, 1.1, 0.3, and 0.2 <span class="inline-formula"><i>N</i></span> units for the fused BI&amp;ML. …”
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Assessment framework to predict sensitivity of marine calcifiers to ocean alkalinity enhancement – identification of biological thresholds and importance of precautionary principle... by N. Bednaršek, H. van de Mortel, G. Pelletier, G. Pelletier, M. García-Reyes, R. A. Feely, A. G. Dickson, A. G. Dickson

“…The results show that 34.4 % of responses are predicted to be positive (<span class="inline-formula"><i>N</i>=33</span>), 26.0 % negative (<span class="inline-formula"><i>N</i>=25</span>), and 39.2 % (<span class="inline-formula"><i>N</i>=38</span>) neutral upon alkalinity addition. …”
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General Six-Step Discrete-Time Zhang Neural Network for Time-Varying Tensor Absolute Value Equations by Min Sun, Jing Liu

“…Firstly, based on the Taylor expansion theory, we derive a general Zhang et al. discretization (ZeaD) formula, i.e., a general Taylor-type 1-step-ahead numerical differentiation rule for the first-order derivative approximation, which contains two free parameters. …”
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A new method for calculating highway blocking due to high-impact weather conditions by D. Liu, T. Jing, T. Jing, T. Jing, M. Yan, I. Gultepe, Y. Bao, Y. Bao, Y. Bao, H. Wang, F. Zu

“…Based on the <span class="inline-formula"><i>K</i></span>-means cluster analysis and the CRITIC (criteria importance through intercriteria correlation) weight assignment method, we analyzed the highway-blocking events that occurred in Chinese provinces in 2020. …”
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Impacts from cascading multi-hazards using hypergraphs: a case study from the 2015 Gorkha earthquake in Nepal by A. Dunant, T. R. Robinson, A. L. Densmore, N. J. Rosser, R. M. Rajbhandari, M. Kincey, S. Li, P. R. Awasthi, M. Van Wyk de Vries, M. Van Wyk de Vries, R. Guragain, E. Harvey, S. Dadson

“…We apply this model to the 2015 <span class="inline-formula"><i>M</i>_w</span> 7.8 Gorkha earthquake in Nepal as a case study, demonstrating its ability to simulate the primary and secondary effects of the earthquake on buildings and roads across the whole earthquake-affected area. …”
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Validation of cantilever-enhanced photoacoustic particle-size-resolved light absorption measurement using nigrosin reference particles and Mie modelling by J. Kuula, J. Kuula, J. Karhu, J. Karhu, T. Mikkonen, P. Grahn, A. Virkkula, A. Virkkula, H. Timonen, T. Hieta, T. Hieta, M. Vainio, M. Vainio

“…The system showed strong agreement (<span class="inline-formula"><i>R</i>²&gt;0.94</span>) with Mie-modelled absorption, confirming its reliability. …”
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