Imputation of missing land carbon sequestration data in the AR6 Scenarios Database by R. Prütz, R. Prütz, R. Prütz, R. Prütz, S. Fuss, S. Fuss, S. Fuss, J. Rogelj, J. Rogelj, J. Rogelj

“…We find that a <span class="inline-formula"><i>k</i></span>-nearest neighbors regression performs best among the tested regression models and use it to impute and provide two publicly available imputation datasets (<a href="https://doi.org/10.5281/zenodo.13373539">https://doi.org/10.5281/zenodo.13373539</a>, Prütz et al., 2024) on CO<span class="inline-formula">₂</span> removal via land sinks for incomplete global scenarios (<span class="inline-formula"><i>n</i>=404</span>) and incomplete regional R10 scenario variants (<span class="inline-formula"><i>n</i>=2358</span>) of the AR6 Scenarios Database. …”
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Measurement report: Analysis of aerosol optical depth variation at Zhongshan Station in Antarctica by L. Chen, L. Chen, L. Zhang, Y. She, Z. Zeng, Y. Zheng, B. Tian, W. Zhang, Z. Liu, H. Che, M. Ding

“…The temperature and AOD showed an insignificant positive correlation (<span class="inline-formula"><i>R</i></span> <span class="inline-formula">=</span> 0.22, <span class="inline-formula"><i>p</i></span> <span class="inline-formula">=</span> 0.40), and relative humidity exhibited a significant negative correlation with AOD (<span class="inline-formula"><i>R</i></span> <span class="inline-formula">=</span> <span class="inline-formula">−</span>0.59, <span class="inline-formula"><i>p</i></span> <span class="inline-formula">=</span> 0.02). …”
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Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI by H. Kim, H. Kim, X. Chen, X. Chen, J. Wang, J. Wang, J. Wang, J. Wang, Z. Lu, Z. Lu, Z. Lu, M. Zhou, G. R. Carmichael, G. R. Carmichael, S. S. Park, J. Kim

“…The GEMS ALH displays minimal bias (0.1 km) but a slightly lower correlation (<span class="inline-formula"><i>R</i></span> <span class="inline-formula">=</span> 0.64). …”
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The Mosquito Repellent Activity of the Active Component of Air Freshener Gel from Java Citronella Oil (Cymbopogon winterianus) by Willy Tirza Eden, Dante Alighiri, Kasmadi Imam Supardi, Edy Cahyono

“…The most significant specific gravity (0.0136) was recorded in formula V, while gel formula I exhibited the highest level of instability at 35°C, with a syneresis value of 77.11% in t=72 h and pH 5.33. …”
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Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 by Z. Engberg, R. Teoh, T. Abbott, T. Dean, M. E. J. Stettler, M. L. Shapiro

“…Outputs are provided for <span class="inline-formula"><i>N</i></span> aircraft-engine groups, with groupings based on similarities in aircraft mass and engine particle number emissions: <span class="inline-formula"><i>N</i>=7</span> results in a 3 % mean error between the trajectory- and grid-based CoCiP, while <span class="inline-formula"><i>N</i>=3</span> facilitates operational simplicity but increases the mean error to 13 %. …”
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The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes by I. Wiekenkamp, A. K. Lehmann, A. Bütow, J. Hartmann, S. Metzger, S. Metzger, T. Ruhtz, C. Wille, M. Zöllner, T. Sachs, T. Sachs

“…The uncertainty of <span class="inline-formula"><i>w</i></span> is between 0.15 and 0.27 m s<span class="inline-formula">⁻¹</span> (median <span class="inline-formula">=</span> 0.23 m s<span class="inline-formula">⁻¹</span>), and the uncertainty of <span class="inline-formula"><i>u</i></span> and <span class="inline-formula"><i>v</i></span> ranges between 0.16 and 0.55 m s<span class="inline-formula">⁻¹</span> (median <span class="inline-formula">=</span> 0.25 m s<span class="inline-formula">⁻¹</span>). …”
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FORMULATION OF CREAM BODY SCRUB FROM ETHANOL EXTRACT OF CASSAVA LEAVES (Manihot esculenta) AS ANTIOXIDANT by Fadhliyah Malik, Suryani Suryani, Sunandar Ihsan, Elvianti Meilany, Rini Hamsidi

“…Result : The ethanol extract of cassava leaves are formulated into dosage cream body scrub with concentration variations 0,0085 mg/mL  (formula 1), 0,017 mg/mL  (formula 2), and 0,0255 mg/mL  (formula 3). …”
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Development of a high-order global dynamical core using the discontinuous Galerkin method for an atmospheric large-eddy simulation (LES) and proposal of test cases: SCALE-DG v0.8.0 by Y. Kawai, H. Tomita, H. Tomita

“…By conducting several tests with various polynomial (<span class="inline-formula"><i>p</i></span>) orders, the impact of the high-order DGM on the accuracy of the numerical simulations of atmospheric flows was investigated. …”
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Evidence of slow millennial cliff retreat rates using cosmogenic nuclides in coastal colluvium by R. Bossis, R. Bossis, V. Regard, S. Carretier, S. Choy

“…We test this approach along the Mediterranean coast of the eastern Pyrenees (<span class="inline-formula"><i>n</i>=8</span>) and the desert coast in southern Peru (<span class="inline-formula"><i>n</i>=3</span>). …”
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Towards a high-quality in situ observation network for oxygenated volatile organic compounds (OVOCs) in Europe: transferring metrological traceability to the field by M. Iturrate-Garcia, T. Salameh, P. Schlauri, A. Baldan, M. K. Vollmer, E. Stratigou, S. Dusanter, J. Li, S. Persijn, A. Claude, R. Holzinger, C. Sutour, T. Macé, Y. Elshorbany, A. Ackermann, C. Pascale, S. Reimann

“…For the working standards based on certified spiked whole-air samples in pressurised cylinders, results showed a good agreement among the laboratories (i.e. differences within the measurement expanded uncertainty (<span class="inline-formula"><i>U</i></span>) ranging between 0.5 and 3.3 <span class="inline-formula">nmol mol⁻¹</span>) and with the certified amount of substance fraction for acetaldehyde (15.7 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 3.6 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>), acetone (17 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 1.5 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>) and MEK (12.3 nmol mol<span class="inline-formula">⁻¹</span> <span class="inline-formula">±</span> 2.3 (<span class="inline-formula"><i>U</i></span>) nmol mol<span class="inline-formula">⁻¹</span>). …”
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The surface tension and cloud condensation nuclei (CCN) activation of sea spray aerosol particles by J. Kleinheins, N. Shardt, U. Lohmann, C. Marcolli

“…In a sensitivity study we show that organic compounds can be categorized into weak, intermediate, and strong surfactants for CCN activation based on their separation factor in water <span class="inline-formula"><i>S</i>_1<i>i</i></span> and their pure component surface tension <span class="inline-formula"><i>σ</i>_<i>i</i></span>. …”
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Global decadal measurements of methanol, ethene, ethyne, and HCN from the Cross-track Infrared Sounder by K. C. Wells, D. B. Millet, J. F. Brewer, V. H. Payne, K. E. Cady-Pereira, R. Pernak, S. Kulawik, S. Kulawik, C. Vigouroux, N. Jones, E. Mahieu, M. Makarova, T. Nagahama, I. Ortega, M. Palm, K. Strong, M. Schneider, D. Smale, R. Sussmann, M. Zhou

“…The CrIS data are well correlated with ground-based Network for the Detection of Atmospheric Composition Change (NDACC) retrievals for methanol (<span class="inline-formula"><i>r</i></span> <span class="inline-formula">=</span> 0.77–0.84); HCN and ethyne exhibit lower correlations (<span class="inline-formula"><i>r</i></span> <span class="inline-formula">=</span> 0.36–0.44 and 0.56–0.65, respectively) with an apparent 40 % CrIS–NDACC disparity for ethyne. …”
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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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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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Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend by V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon

“…More specifically, using a methodology based on principal component analysis and <span class="inline-formula"><i>k</i></span>-means clustering, we have identified different modes of spatial variability, mainly depending on the elevation, which reflect different climatic zones. …”
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Assessment of Disease Activity in Small Bowel Crohn’s Disease: Comparison between Endoscopy and Magnetic Resonance Enterography Using MRIA and Modified MRIA Score by Arnaldo Scardapane, Annalisa Ambrosi, Emanuela Salinaro, Maria Elisabetta Mancini, Mariabeatrice Principi, Alfredo Di Leo, Filomenamila Lorusso, Amato Antonio Stabile Ianora, Giuseppe Angelelli

“…Namely, MRIA was calculated as follows: (1.5 × wall thickening + 0.02 × RCE + 5 × intramural edema + 10 × ulcers), while mMRIA was calculated with the modified formula (1.5 × wall thickening + 5 × intramural edema + 10 × ulcers). …”
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