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  1. 1141

    Initial versus Subsequent Injury and Illness and Temporal Trends Among Professional Hockey Players by Chelsea Martin, Allison Lieb, John Tokish, Ellen Shanely, Stefan Kluzek, Gary Collins, Garrett Bullock

    Published 2024-02-01
    “…Combined injury and illness IR peaked in 2009-2010 season at 12.01 (95%CI: 11.22-12.79). The groin/hip/thigh demonstrated peak incidence during the 2007-2008 season (2.53, 95%CI:2.17-2.90); head/neck demonstrated a peak incidence in 2010-2011 season (Overall: 1.03, 95%CI:0.81-1.26). …”
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  2. 1142

    Evaluation of crop and pond-deepening adaptations to climate change in saline coastal Bangladesh: Benefit-cost and risk analysis by Md. Jahangir Kabir, Donald S. Gaydon, Rob Cramb

    Published 2025-03-01
    “…This study estimates the irrigation water requirement and irrigation water productivity (IWP) of dry-season crops across various sowing dates, and assesses the economic viability of different potential adaptation options. …”
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  3. 1143

    Precipitation Chemistry and Occurrence of Acid Rain over the Oil-Producing Niger Delta Region of Nigeria by John Kanayo Chukwu Nduka, Orish Ebere Orisakwe

    Published 2010-01-01
    “…This study investigated the nitrate, sulfate, total dissolved solid (TDS), electrical conductivity, total hardness (TH), and bicarbonates of rainwater samples collected from Warri and Port Harcourt between April–June, July–August, and September–October of 2005 and 2006 to depict onset of rainy season, mid-rainy season, and end of rainy season for the two major crude oil–producing cities of the Niger Delta region of Nigeria (although Port Harcourt is also noted for non-oil manufacturing industries). …”
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  4. 1144

    Investigation of 25-hydroxy vitamin D deficiency prevelance in healthy adults aged 18-65 years in Istanbul, Türkiye by Ülfer Gözde

    Published 2025-01-01
    “…That prevalence varied across seasons and months, indicating that sunlight was not used sufficiently. …”
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  5. 1145

    Attraction points: A new sampling design method to quantify common finches’ population by Lorenzo Marazuela Pinela, Ángel Julián Martín Fernández, Pablo-Luis López-Espí

    Published 2025-02-01
    “…Existing methodologies for monitoring bird populations primarily focus on their presence, habitat, physical and health characteristics, and, more comprehensively, their abundance and trends in breeding season. Due to the fact that these methodologies do not use unbiased statistical estimators, the accurate estimation of bird densities or obtaining measures of abundance is often based on indirect counts, such as, detection probability versus distance, or assumptions, such as the homogeneous distribution of all individuals, which are then correlated with bird density. …”
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  6. 1146

    Regional nutrient emissions and hydrological regime modulate the spatiotemporal patterns of nutrient levels within lake bay by Qiqi Yuan, Zhihui Ren, Ruidong Chen, Qingji Zhang, Jinsong Ma, Lachun Wang

    Published 2025-01-01
    “…Scenario simulations indicated that a 30 % reduction in nutrient emissions led to a corresponding decrease in TN and TP loads in the lake bays, with more significant reductions observed during the dry season (TN: 3.05 %; TP: 9.51 %). A 12 % reduction in river discharge during the dry season resulted in a corresponding decrease in TN and TP loads in the lake bays, with the reduction in TP (1.81 %) greater than that of TN (1.39 %). …”
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  7. 1147

    Spatiotemporal Response of MODIS Derived Vegetation index to climatic condition Case study: Kohgiloyeh O Boirahmad Province of Iran by Mohammad Hossein Nasserzadeh, zahra Hejazizadeh, Zahra Gholampour, Bohloul Alijani

    Published 2020-06-01
    “…The spatial correlation of NDVI and TRMM monthly accumulative rainfall was statistical significant in spring season (April to Jun) by 1 month lag time in remain months we don’t find any significant correlation between NDVI and rainfall.…”
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  8. 1148

    Risk assessment of non-point source pollution in tropical watersheds considering water functional zones by Shiyu Xue, Yanhu He, Hao Cai, Jun Li, Lirong Zhu, Changqing Ye

    Published 2025-02-01
    “…In terms of temporal distribution, the risk of NPS pollution from ammonia nitrogen (NH3-N), TN, and TP increased by 26.68%, 58.70%, and 21.05%, respectively, during the wet season (May − October) compared to the dry season (November − April). …”
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  9. 1149

    Comparison of the effects of production and processing parameters on the eating quality of lamb by L.J. Farmer, A.W. Gordon, D.W. Sanderson, J.S. Speers, T.D.J. Hagan, E.L. Swancott, J.L. Evans, D.J. Richards, E.M. Thomas

    Published 2025-02-01
    “…The three factors that had the most significant effect on consumer sensory quality were muscle, season and individual farm. While the differences between muscles are well known, the effects of season within the 1st year and individual farm have not been widely reported. …”
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  10. 1150

    Blue rings in trees and shrubs as indicators of early and late summer cooling events at the northern treeline by Agata Buchwal, Agata Buchwal, Pawel Matulewski, Ylva Sjöberg, Alma Piermattei, Alma Piermattei, Alan Crivellaro, Alan Crivellaro, Angela Balzano, Maks Merela, Luka Krže, Katarina Čufar, Alexander V. Kirdyanov, Alexander V. Kirdyanov, Tatiana Bebchuk, Tito Arosio, Ulf Büntgen, Ulf Büntgen, Ulf Büntgen

    Published 2025-01-01
    “…Prolonged early growing season cooling shortened the growing season in 1902 and resulted in much thinner cell walls in trees and shrubs than in 1877, which was characterized by extended cooling at the end of the growing season. …”
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  11. 1151

    Effects of Monoculture, Crop Rotation, and Soil Moisture Content on Selected Soil Physicochemical and Microbial Parameters in Wheat Fields by A. Marais, M. Hardy, M. Booyse, A. Botha

    Published 2012-01-01
    “…Statistical analyses showed that soil moisture had an over-riding effect on seasonal fluctuations in soil physicochemical and microbial populations. …”
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  12. 1152

    An Assessment of the Microbiological Quality and Physical Properties of Indoor Atmosphere in Port Harcourt by Chuku Aleruchi

    Published 2013-05-01
    “…The study revealed that no indoor atmosphere is completely free from microorganisms; rooms that carry above their original design capacity for occupancy are prone to have a high load of microorganism and indoor microorganism survive and multiply faster during the dry season compared to their growth in the rainy season. …”
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  13. 1153

    Atmospheric Contributors to Heavy Rainfall Events in the Arkansas-Red River Basin by Taylor A. McCorkle, Skylar S. Williams, Timothy A. Pfeiffer, Jeffrey B. Basara

    Published 2016-01-01
    “…Further, the mesoscale forcings had more of an impact during the warm season and for the westernmost locations, whereas synoptic forcings were extremely prevalent during the cold season at the easternmost locations in the basin. …”
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  14. 1154

    Repeatability of Nest Site Selection of Green Turtles on Samandağ Beach by Bektaş Sönmez

    Published 2024-12-01
    “…During the 2013 nesting season, the distance to the sea, distance to vegetation, horizontal distance, and nest depth of the first and second nests of females were recorded using a tagging method. …”
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  15. 1155

    Monthly Runoff Forecasting Model Based on Electrostatic DischargeAlgorithm-Mixed Kernel SVM and Its Application by LI Xiangrong

    Published 2020-01-01
    “…In order to improve the accuracy of hydrological forecasting, this paper establishes a support vector machine (SVM) based on the mixture of polynomial kernel and Gauss kernel, optimizes the key parameters and the mixed weight coefficients of mixed kernel SVM by the electrostatic discharge algorithm (ESDA), proposes a monthly runoff forecasting model in dry season based on mixed kernel ESDA-SVM, builds the Gauss kernel ESDA-SVM, polynomial kernel ESDA-SVM and ESDA-BP, as contrast forecasting models, as well as conducts the forecasting through the models with the data of the first 24 years and the last 10 years, taking the monthly runoff forecasting of a hydrological station in Yunnan from January to April in dry season as an example. …”
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  16. 1156

    Verification of a Real Time Weather Forecasting System in Southern Italy by Luca Tiriolo, Rosa Claudia Torcasio, Stefania Montesanti, Stefano Federico

    Published 2015-01-01
    “…Results show that the MOS reduces the RMSE by 0–30%, depending on the forecasting time, on the season and on the meteorological parameter.…”
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  17. 1157

    A Study of Fitting a Swamp Meadow Ecosystem Evapotranspiration to a Model Based on the Penman-Monteith Equation by Feng Li, Bin Wang

    Published 2015-01-01
    “…The reference ET peaked from April to July, while the actual ET was primarily in growing season. The value of kc exhibited significant seasonal variations within the range 0.3–1.0 with a mean kc of 0.55 during the growing season. …”
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  18. 1158

    Productive capacity and genetic variation behavior in progenies from irrigated açai according to plant age by João Tomé de Farias Neto, Gilberto Ken Iti Yokomizo, Marcos Deon Vilela de Resende

    Published 2020-08-01
    “…The açai fruit yield is concentrated between the months of July to December (harvest), providing an important income to actors involved in the production chain, however in the off-season this brings serious socioeconomic problems, with the need for research that may offer selected genetic materials that can circumvent this problem. …”
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  19. 1159

    Hypothesis: glyphosate-based herbicides can increase risk of hematopoietic malignancies through extended persistence in bone by Charles M. Benbrook

    Published 2025-01-01
    “…Abstract Despite episodic and variable patterns of exposure, the levels of glyphosate (GLY) detected in the urine of herbicide applicators and the general public are relatively stable across space (urban vs. rural) and time (weed spray season, not spray season). Substantial GLY metabolism data show that within minutes of entering the bloodstream, GLY moves into bone marrow, and then laterally through bone tissue and back into general circulation. …”
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  20. 1160

    Day-Flying Lepidopteran Species Abundance, Diversity, and Distribution in Wolaita Sodo University, Ethiopia by Abenezer Wendimu, Wondimagegnehu Tekalign, Elias Bojago

    Published 2024-01-01
    “…About 36% of species were recorded only in dry season and 36% of total were recorded only in wet season. …”
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