Showing 1,281 - 1,300 results of 4,656 for search '"season"', query time: 0.08s Refine Results
  1. 1281

    Estimation of the Visibility in Seoul, South Korea, Based on Particulate Matter and Weather Data, Using Machine-learning Algorithm by Bu-Yo Kim, Joo Wan Cha, Ki-Ho Chang, Chulkyu Lee

    Published 2022-08-01
    “…The estimation accuracy for the test dataset was good (bias = −0.11 km, RMSE = 2.08 km, and r = 0.94); the estimation accuracy was higher in the dry season (bias = −0.06 km, RMSE = 1.79 km, and r = 0.96) than in the rainy season (bias = −0.17 km, RMSE = 2.34 km, and r = 0.91). …”
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  2. 1282

    Is Month of Birth a Risk Factor for Colorectal Cancer? by N. K. Francis, N. J. Curtis, E. Noble, M. Cortina-Borja, E. Salib

    Published 2017-01-01
    “…The developmental origins of health and disease hypothesis and season of birth have been linked to a wide variety of later life conditions including cancer. …”
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  3. 1283

    Dominant Arm Internal and External Rotation Strength is Related to Arm Pain in Youth Baseball Players by Jeffrey Paskewitz, Fred Breidenbach, Philip Malloy, P Michael Eckrich, Ryan Zarzycki

    Published 2024-11-01
    “…# Background and Purpose The prevalence of arm pain in youth baseball players is high with approximately half reporting arm pain during the season, and the number of ulnar collateral ligament reconstructions in youth baseball players is increasing. …”
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  4. 1284

    Inherent Risk Analysis of Power Supply Management: Case of Belize’s System Operator and Third-Party Actors by Khadija Sherece Usher, Benjamin Craig McLellan

    Published 2024-12-01
    “…Case 1 exhibited the highest exposure levels in the early dry season (0.237 and 0.179), while case 2 showed peak exposure levels in the late wet season (1.009 and 0.948), along with cases 3 (0.977 and 0.908) and 4 (0.950 and 0.879).…”
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  5. 1285

    Preferential Water Infiltration Path in a Slow-Moving Clayey Earthslide Evidenced by Cross-Correlation of Hydrometeorological Time Series (Charlaix Landslide, French Western Alps) by Grégory Bièvre, Agnès Joseph, Catherine Bertrand

    Published 2018-01-01
    “…On the contrary, seasonal motion patterns are frequently observed with acceleration during the wet season and deceleration during the dry season. …”
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  6. 1286

    Dynamics of CO2 fluxes and environmental responses in a Poplar plantation by Mengyu Ge, Mengyu Ge, Weifeng Wang, Honghua Ruan, Guobing Wang, Shuang Zhang, Shuiqiang Yu

    Published 2024-11-01
    “…The Poplar plantation ecosystem was a carbon sink overall, with high carbon uptake in growing season and limited uptake/emission in non-growing season. …”
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  7. 1287

    Spatiotemporal Variation Characteristics of Water Pollution and the Cause of Pollution Formation in a Heavily Polluted River in the Upper Hai River by Chunfang Meng, Xiaoyu Song, Kening Tian, Bingxiao Ye, Tianxiu Si

    Published 2020-01-01
    “…In the nonflood season, the pollution sources were mainly domestic sewage and industrial wastewater. …”
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  8. 1288

    CHANGES IN AMINO ACID COMPOSITION OF BLOOD PROTEIN HYDROLYSATE DEPENDING ON THE RAW MATERIAL PREPARATION MATERIAL by M. N. Guseva, М. A. Shevchenko, D. S. Bolshakov, M. I. Doronin, D. V. Mikhalishin, A. A. Shishkova, V. V. Mikhalishin

    Published 2018-07-01
    “…The dependence of amino acid composition of blood protein hydrolysate on the season of the raw material preparation was studied. …”
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  9. 1289

    Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

    Published 2022-01-01
    “…Machine learning is critical in crop production prediction because it can anticipate crop output based on factors such as location, meteorological conditions, and season. It is advantageous for policymakers and farmers alike to be able to precisely estimate crop yields throughout the growing season since it allows them to anticipate market prices, plan import and export operations, and limit the social cost of crop losses. …”
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  10. 1290

    Uncertainties of the rainfall regime in a tropical semi-arid region: the case of the State of Ceará by Eunice Maia de Andrade, Maria Gina Torres Sena, Antonio Givanilson Rodrigues da Silva, Francisco Jairo Soares Pereira, Fernando Bezerra Lopes

    Published 2016-07-01
    “…The region is characterised by the frequent occurrence of dry years and consecutive dry days (CDD) during the rainy season, demonstrating the vulnerability of rainfed agriculture. …”
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  11. 1291

    Impact of deformed wing virus master variants (dwv-a, dwv-b, and dwv-c) in managed honey bee colonies of türkiye by Mustafa Emin Oz, Oguzhan Avci, Muge Dogan

    Published 2023-09-01
    “…Thus, it is thought that DWV, which causes yield losses at varying rates in every season of the year in Turkish bee hives, should be carefully monitored.…”
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  12. 1292

    Will things feel better in the morning? A time-of-day analysis of mental health and wellbeing from nearly 1 million observations by Daisy Fancourt, Feifei Bu, Jessica K Bone

    Published 2025-02-01
    “…Background Mood is known to change over seasons of the year, days of the week, and even over the course of the day (diurnally). …”
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  13. 1293

    Effect of Irrigation to Winter Wheat on the Radiation Use Efficiency and Yield of Summer Maize in a Double Cropping System by Li Quanqi, Chen Yuhai, Zhou Xunbo, Yu Songlie, Guo Changcheng

    Published 2012-01-01
    “…During the winter wheat growing season, irrigation was applied at the jointing, heading, or milking stage, respectively. …”
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  14. 1294

    Saline Water Impact on Water Use Efficiency of Bitter Melon (Momordica charantia L) Using Drip Irrigation by Kamran Baksh Soomro, M. M. Shaikh, Sanyogita Andriyas, Muhammad Rizwan Shahid

    Published 2022-01-01
    “…Hence, both the treatments remained equally effective in season 1 as compared to season 2 (p≤0.05). The WUE of bitter melon under IT1 was 1.60 and 1.56 kg.m−3 in seasons 1 and 2, respectively, and was higher than those under IT2 which were observed 1.21 and 1.07 kg.m−3 in seasons 1 and 2, respectively.…”
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  15. 1295

    Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments by H. A. Canham, B. Lane, C. B. Phillips, B. P. Murphy

    Published 2025-01-01
    “…The role of water year type and season should be considered in future hydrologic analysis to better isolate the increasing and changing effects of wildfires on streamflow. …”
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  16. 1296

    High Prevalence of Low Back Pain in College Rifle Athletes by Bailey Urbach, Cody Mansfield, Mica Harr, Matthew S. Briggs, James Onate, Laura Boucher

    Published 2025-01-01
    “… # Study Design Cross-Sectional Study # Methods Athletes at least 18 years of age who were members of a collegiate rifle program during the 2019-2020 season were surveyed via an online questionnaire. …”
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  17. 1297

    Suitability assessment for handling methods of municipal solid waste by B. Seng, T. Fujiwara, B. Seng

    Published 2018-04-01
    “…The moisture content is too high to meet the technology demands, especially in the rainy season. It seems workable for incineration without energy recovery. …”
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  18. 1298

    Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data by Thong Nguyen Hoang, Van Tran Thi

    Published 2025-01-01
    “…This study aims to determine the trophic state of the reservoir based on the trophic state index (TSI) calculated from ground monitoring data of Secchi depth (SD), total phosphorus (TP), and chlorophyll-a (Chl-a) obtained from 35 points in 2 survey periods during the late rainy season to early dry season 2012–2013 and May 2023. …”
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  19. 1299

    Genetic diversity of soybean cultivars belonging to different ripeness groups with regard to performance and quality by A. I. Abugaliyeva, S. V. Didorenko

    Published 2016-08-01
    “…None of the Kazakstani varieties has been assigned to early season ripening group 00. Varietes in the mid-late and middle season ripening group, which are the most adapted to the cultivation conditions in the southeastern area of Kazahstan, showed the highest yield. …”
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  20. 1300

    Waterlogging of soil induces diverging rates of senescence in Svalbard reindeer forage plants by Emilie K. S. Andersen, Samantha P. H. Dwinnell, Leif Egil Loe, Caroline Iveland, René van der Wal

    Published 2025-12-01
    “…However, waterlogging reduced the growing season of the forb and shrub but considerably extended that of the grass. …”
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