State transition dynamics of reputation considering third-order information and multiple reputation values: by Hitoshi Yamamoto (738861)

Evaluation rule considering third-order information and multiple reputation values: By cluster analysis and best-fitting distribution for each distribution done on basis of BIC, re... by Hitoshi Yamamoto (738861)

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

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Data set from the 2022 study. by Peter Sandøe (553063)

Ethnic identity as a moderator among APIDA students. by Ronna Bañada (19233063)

The correlogram. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

The food consumption quantity. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

Dataset. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

Predicted^* value of age at school entry by height-for-age z-score and child’s sex. by Rabi Joël Gansaonré (20416803)

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Predicted^* value of age at school entry by height-for-age z-score and household socioeconomic status. by Rabi Joël Gansaonré (20416803)

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Predicted^* value of age at school entry by height-for-age z-score and mother’s education. by Rabi Joël Gansaonré (20416803)

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Age at school entry, incidence of grade repetition, incidence of dropout, and baseline characteristics of participants. by Rabi Joël Gansaonré (20416803)

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Change^a in incidence of repetition [95% confidence interval]. by Rabi Joël Gansaonré (20416803)

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Predicted^* value of age at school entry by height-for-age z-score and place of residence. by Rabi Joël Gansaonré (20416803)

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Change^a in incidence of repetition according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

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Change^a in years of age at school entry according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

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