Effect of advanced chelate technology-based trace minerals on bone morphology and mineral contents observed in broiler chickens challenged with heat stress. by Taher Mohammadizad (19786989)

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Fig 1 - by Taher Mohammadizad (19786989)

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Bar charts of hepatic mRNA expression levels of nuclear factor kappa B (NF-kB), interleukin (IL)-1β, IL-6, IL-10, interferon-γ (INF-γ), and transforming growth factor-β (TGF-β) in... by Taher Mohammadizad (19786989)

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Effect of advanced chelate technology-based trace minerals on antibody responses against Newcastle disease virus (NDV), infectious bronchitis virus (IBV), and sheep red blood cells... by Taher Mohammadizad (19786989)

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Gene special primers used in the real-time quantitative reverse transcription PCR. by Taher Mohammadizad (19786989)

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S1 Data - by Taher Mohammadizad (19786989)

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Effect of advanced chelate technology-based trace minerals on serum antioxidant status and hormone profile observed in broiler chickens challenged with heat stress. by Taher Mohammadizad (19786989)

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Bar charts of hepatic mRNA expression levels of nuclear factor erythroid 2-related factor 2 (Nrf2), glutathione peroxidase 1 (GPx1), superoxide dismutase 1 (SOD1), and catalase (CA... by Taher Mohammadizad (19786989)

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Participants inclusion and exclusion criteria. by L. Cinnamon Bidwell (7069772)

“…<div><p>Background</p><p>As cannabis legalization continues to spread across the United States, average Δ⁹-tetrahydrocannabinol concentrations in recreational products have significantly increased, and no prior study has evaluated effective treatments to reduce cannabis use among high potency cannabis users. …”

Flowchart of included and excluded patients. by P.G.J. ter Horst (21743830)

“…<div><p>Medication can affect semen quality by decreasing ejaculate volume, sperm concentration, or decreased sperm motility and sperm function in general. …”

Characteristics of the study group. by P.G.J. ter Horst (21743830)

“…<div><p>Medication can affect semen quality by decreasing ejaculate volume, sperm concentration, or decreased sperm motility and sperm function in general. …”

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Major hyperparameters of RF-MLPR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Microbial differential abundance at 24 hours post-treatment was assessed using ANCOM (<i>P</i> <  0.05). by Elena G. Olson (10649705)

“…(a) The abundance of amplicon sequencing variants (ASVs) within <i>Enterobacterales</i> significantly decreased in the 1.25% SCFP treatment compared to the control at 24h, particularly in samples where <i>Salmonella</i> reduction was significant. …”

Effect of 1.25% SCFP on poultry cecal microbial composition inoculated with six multidrug-resistant (<i>MDR</i>) <i>Salmonella</i> serovars compared to a no-treatment control at 24... by Elena G. Olson (10649705)

The statistical data of the partial graph. by Si Yu Zhao (19544793)

“…Behavioral tests of both mutant and control strains revealed that the <i>rho-l</i>^{<i>△807</i>} mutant mosquitoes had a significant decrease in their ability to search for preferred oviposition sites that correlated with a reduced ability to recognize long-wavelength red light. …”

Experimental Design Flowchart. by Si Yu Zhao (19544793)

“…Behavioral tests of both mutant and control strains revealed that the <i>rho-l</i>^{<i>△807</i>} mutant mosquitoes had a significant decrease in their ability to search for preferred oviposition sites that correlated with a reduced ability to recognize long-wavelength red light. …”