Table 3_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx nork Yaniv Altshuler (645084)

“...Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. ...”

Table 7_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx nork Yaniv Altshuler (645084)

“...Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. ...”

Table 1_Agricultural socialized services in China’s smallholder farming systems: a systematic review of service types, benefits, and measurement challenges.docx nork Rong Zeng (54019)

The Chi-square test significance results for the environmental factors effect on eye health among subjects with different professional engagements in agriculture. nork Athkar Alawneh (22793718)

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The questions associated with each outcome variable. nork Athkar Alawneh (22793718)

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The Chi-square test significance results for having an eye illness among subjects with different professional engagements in agriculture. nork Athkar Alawneh (22793718)

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The Q-Q plot for the effect of the environmental factors on eye health outcome variable confirming the normal distribution of the score. nork Athkar Alawneh (22793718)

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Linear regression model summary and ANOVA results. nork Athkar Alawneh (22793718)

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Linear regression model summary. nork Athkar Alawneh (22793718)

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The Q-Q plot for the (having eye illness) outcome variable confirming the normal distribution of the score. nork Athkar Alawneh (22793718)

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Regression ANOVA results. nork Athkar Alawneh (22793718)

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Research data. nork Athkar Alawneh (22793718)

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The one-way ANOVA test results. nork Athkar Alawneh (22793718)

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LSD results for the climate impact on eye health based on subject’s profession. nork Athkar Alawneh (22793718)

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The Chi-square test significance results for the use of protective equipment among subjects with different professional engagements in agriculture. nork Athkar Alawneh (22793718)

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Regression ANOVA results. nork Athkar Alawneh (22793718)

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Regression ANOVA results. nork Athkar Alawneh (22793718)

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Linear regression model summary. nork Athkar Alawneh (22793718)

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Frequency and percentages of demographic variables. 1 USD = 0.71 JOD (fixed rate). nork Athkar Alawneh (22793718)

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The Q-Q plot for the use of protective equipment outcome variable confirming the normal distribution of the score. nork Athkar Alawneh (22793718)

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