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  1. 2281

    Crop, semi-natural, and water features of the cotton agroecosystem as indicators of risk of infestation of two plant bug (Hemiptera: Miridae) pests by Michael J. Brewer

    Published 2024-11-01
    “…When selected, the composition of cotton and grassland/shrubland/pasture also had a positive association with C. signatus abundance. …”
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  2. 2282

    Impact of climate change on agricultural insurance by Noah Gbenga Alli

    Published 2025-08-01
    “…The analysis utilized Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess relationships among latent variables, ensuring reliability and validity through Cronbach’s Alpha, Composite Reliability, Average Variance Extracted, and the Heterotrait-Monotrait Ratio (HTMT). …”
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  3. 2283

    Global Response of Vertical Total Electron Content to Mother’s Day G5 Geomagnetic Storm of May 2024: Insights from IGS and GIM Observations by Sanjoy Kumar Pal, Soumen Sarkar, Kousik Nanda, Aritra Sanyal, Bhuvnesh Brawar, Abhirup Datta, Stelios M. Potirakis, Ajeet K. Maurya, Arnab Bhattacharya, Pradipta Panchadhyayee, Saibal Ray, Sudipta Sasmal

    Published 2025-04-01
    “…These anomalies are primarily attributed to penetration electric fields, neutral wind effects, and composition changes in the ionosphere. The storm’s peak impact on DoY 132 exhibited maximum disturbances at ±90° and ±180° longitudes, emphasizing the role of geomagnetic forces in plasma redistribution. …”
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  4. 2284

    Microbiome-derived bile acids as endogenous regenerative mediators in liver repair by Surya Nath Pandey, Kavita Goyal, Mohit Rana, Soumya V. Menon, Subhashree Ray, Haider Ali, Popat S. Kumbhar, John Disouza, Sachin Kumar Singh, Gaurav Gupta, Ling Shing Wong, Vinoth Kumarasamy, Vetriselvan Subramaniyan

    Published 2025-12-01
    “…We address the interindividual variability in microbiome composition, potential biomarkers such as serum FGF19, imaging-based measures of functional liver mass, and considerations for optimal trial design. …”
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  5. 2285
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  7. 2287

    AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

    Published 2025-06-01
    “…The optimization process directed by the metaheuristic approach utilizing SMA demonstrated swift convergence in 216 iterations, identifying the optimal mix proportions of cement, water-to-cement ratio, sand, and sisal fiber content. The optimized composition achieved a tensile strength of 4.16 MPa, representing a 9.5 % enhancement compared to conventional experimental methods, which yielded 3.8 MPa. …”
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  8. 2288

    Anticholinesterase Activity and Bioactive Compound Profiling of Six Hop (<i>Humulus lupulus</i> L.) Varieties by Bartłomiej Sagan, Bogusław Czerny, Anna Stasiłowicz-Krzemień, Piotr Szulc, Urszula Skomra, Tomasz M. Karpiński, Jolanta Lisiecka, Adam Kamiński, Aleksandra Kryszak, Oskar Zimak-Krótkopad, Judyta Cielecka-Piontek

    Published 2024-12-01
    “…This study investigates the chemical composition and biological activities of extracts from six hop varieties, focusing on quantifying xanthohumol and lupulone using High-Performance Liquid Chromatography (HPLC) and Total Phenolic Content (TPC) analysis. …”
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  9. 2289

    The evolution of sprinting performance: Technological and regulatory influences from 1976 to 2024 by Dariusz Tadeusz SKALSKI, Magdalena PROŃCZUK, Kinga ŁOSIŃSKA, Ewelina LULIŃSKA, Joanna MOTOWIDŁO, Petr STASTNY, Adam MASZCZYK, Grzegorz TRYBEK

    Published 2025-06-01
    “…Statistical analyses reveal that advancements in material sciences, particularly in track composition and running shoe technology, have contributed to faster race times. …”
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  10. 2290

    Seasonally Robust Offshore Wind Turbine Detection in Sentinel-2 Imagery Using Imaging Geometry-Aware Deep Learning by Xike Song, Ziyang Li

    Published 2025-07-01
    “…This approach is implemented using Faster R-CNN as the baseline, with three enhanced extensions: (1) direct integration of imaging parameters, where Geowise-Net incorporates solar and view angular information of satellite metadata to improve geometric awareness; (2) implicit geometry learning, where Contrast-Net employs contrastive learning on seasonal image pairs to capture variability in turbine appearance and shadows caused by changes in solar and viewing geometry; and (3) a Composite model that integrates the above two geometry-aware models to utilize their complementary strengths. …”
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  11. 2291

    Paragenetic relations of minerals in the Snezhnoye ruby deposit, Muzkol-Rangkul anticlinorium, Central Pamir by A. K. Litvinenko, Sh. A. Odinaev

    Published 2025-01-01
    “…The diversity and uneven manifestation of paragenesis is determined by the variable chemical composition of protolith (bauxite-like sediment), the metamorphogenic transformation of which led to the emergence of Snezhnoye and other deposits.Aim. …”
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  12. 2292

    Modeling actinic flux and photolysis frequencies in dense biomass burning plumes by J.-L. Tirpitz, S. F. Colosimo, N. Brockway, R. Spurr, M. Christi, S. Hall, K. Ullmann, J. Hair, T. Shingler, R. Weber, J. Dibb, R. Moore, E. Wiggins, V. Natraj, N. Theys, J. Stutz

    Published 2025-02-01
    “…To validate VPC and investigate photochemical conditions within BB plumes, the model was used to simulate spatial distributions of actinic fluxes and photolysis frequencies for the Shady wildfire (Idaho, US, 2019) based on plume composition data from the NOAA/NASA FIREX-AQ (Fire Influence on Regional to Global Environments and Air Quality) campaign.…”
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  13. 2293

    Ecological impacts of single-axis photovoltaic solar energy with periodic mowing on microclimate and vegetation by Yudi Li, Yudi Li, Alona Armstrong, Alona Armstrong, Christopher Simmons, Noah Z. Krasner, Noah Z. Krasner, Rebecca R. Hernandez, Rebecca R. Hernandez, Rebecca R. Hernandez, Rebecca R. Hernandez

    Published 2025-02-01
    “…Over a 12-month period, we monitored nine above- and belowground microclimate variables and 16 plant ecology metrics across these micro-patches. …”
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  14. 2294

    Urinary Hippuric Acid as a Sex-Dependent Biomarker for Fruit and Nut Intake Raised from the EAT-Lancet Index and Nuclear Magnetic Resonance Analysis by Edwin Fernández-Cruz, Víctor de la O, Cristina M. Fernández-Diaz, Pilar Matía-Martín, M. Ángel Rubio-Herrera, Nuria Amigó, Alfonso L. Calle-Pascual, J. Alfredo Martínez

    Published 2025-05-01
    “…Traditional methods, such as dietary questionnaires and quality indices, are limited by subjectivity and variability in food composition tables. Metabolomic markers, like urinary hippuric acid, provide an objective means to estimate food and nutrient intake, helping to link dietary patterns with metabolic outputs and health outcomes. …”
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  15. 2295

    Electoral precinct-level database for Mexican municipal elections by Bruno Calderón-Hernández, Horacio Larreguy, John Marshall, José Luis Pérez-Castellanos

    Published 2025-04-01
    “…This database includes: (i) electoral precinct-level votes for each electoral coalition, the coalitions of the incumbent mayor and incumbent state governor, and the four most popular political parties; (ii) electoral precinct-level valid and total votes, the number of registered voters, and turnout; (iii) the partisan composition and municipal-level votes of the incumbent and runner-up electoral coalitions from the previous election; and (iv) the partisan composition of the state-level incumbent governor. …”
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  16. 2296

    Utilisation de typologies multi-dates pour l’analyse des transformations socio-spatiales de Bogota (Colombie) by Marie Piron, Françoise Dureau, Christian Mullon

    Published 2004-02-01
    “…For that, we set up a “multi-dates” typology in order to show the perennials structures of the socio-demographic composition of Bogota. The methodology suggested consists in defining a coherent reference area that is the set of households listed in 1973 and in 1993 and working on basic socio-demographic variables on the households that are factual recognized information. …”
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  17. 2297

    Analysis of the spatiotemporal evolution and driving factors of land use change in Jinan springs area of the Northern Karst region, China from 1986 to 2022 by Shenting Gang, Xiaoyun Kong, Tao Jia, Minghui Lv, Lixia Li

    Published 2025-04-01
    “…A Random Forest model was employed for classifying the remote sensing data, while the land use dynamic and land use transfer matrix were used to analyse the scale, composition, morphology, pattern and spatial and temporal characteristics of land use changes from 1986 to 2022. …”
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  18. 2298

    Diversity and plant growth-promoting functions of diazotrophic/N-scavenging bacteria isolated from the soils and rhizospheres of two species of Solanum. by Mónica Yorlady Alzate Zuluaga, Karina Maria Lima Milani, Leandro Simões Azeredo Gonçalves, André Luiz Martinez de Oliveira

    Published 2020-01-01
    “…Overall, the strategy adopted allowed us to identify the variability in the composition of culturable diazotroph/N-scavenger representatives from soils under different management conditions by using two Solanum species as trap plants. …”
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  19. 2299

    Neuromuscular Electrical Stimulation to Maximize Hip Abductor Strength and Reduce Fall Risk in Older Veterans: Protocol for a Randomized Controlled Trial by Ben Friedman, Brock A Beamer, Jeffrey Beans, Vicki Gray, Gad Alon, Alice Ryan, Leslie I Katzel, John D Sorkin, Odessa Addison

    Published 2025-05-01
    “…Secondary outcomes will examine muscle composition through computed tomography (CT) scans and assess gait variability parameters. …”
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  20. 2300

    Validation of 12 years (2008–2019) of IASI-A CO with IAGOS aircraft observations by B. Barret, P. Loicq, E. Le Flochmoën, Y. Bennouna, J. Hadji-Lazaro, D. Hurtmans, B. Sauvage

    Published 2025-01-01
    “…<p>IASI-A, IASI-B and IASI-C (Infrared Atmospheric Sounding Interferometer) are nadir-looking thermal-infrared sensors which have monitored the atmospheric composition since 2008. Atmospheric carbon monoxide (CO) is retrieved from IASI radiances with two algorithms: the SOftware for a Fast Retrieval of IASI Data (SOFRID) and Fast Optimal Retrievals on Layers for IASI (FORLI). …”
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