Hyperparameter ranges by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Linear mixed effect model comparing spike exposure groups in a nursing home cohort—Georgia, December 2020–July 2022, n = 37. by Zeshan A. Chisty (18388200)

Association of covariates and COPD risk. by Yushan Shi (16440272)

“…Stratified analyses revealed no significant differences or interactions.</p><p>Conclusion</p><p>Our findings suggest a potential link between increased dietary niacin intake and a decreased prevalence of COPD.…”

Unit root test. by Fuwei Wang (721008)

“…The results show that: (1) Rural tourism development has a non-linear positive impact on poverty alleviation in underdeveloped areas and has a double threshold effect. (2) When the poverty rate is used to express the poverty level, it can be found that the development of rural tourism at a high level can significantly promote poverty alleviation. (3) When the number of poor people is used to express the poverty level, it can be found that the poverty reduction effect shows a marginal decreasing trend with the phased improvement of the development level of rural tourism. (4) The degree of government intervention, industrial structure, economic development, and fixed asset investment play a more significant role in poverty alleviation. …”

Sample inspection results of threshold effect. by Fuwei Wang (721008)

“…The results show that: (1) Rural tourism development has a non-linear positive impact on poverty alleviation in underdeveloped areas and has a double threshold effect. (2) When the poverty rate is used to express the poverty level, it can be found that the development of rural tourism at a high level can significantly promote poverty alleviation. (3) When the number of poor people is used to express the poverty level, it can be found that the poverty reduction effect shows a marginal decreasing trend with the phased improvement of the development level of rural tourism. (4) The degree of government intervention, industrial structure, economic development, and fixed asset investment play a more significant role in poverty alleviation. …”

Theoretical analysis framework. by Fuwei Wang (721008)

“…The results show that: (1) Rural tourism development has a non-linear positive impact on poverty alleviation in underdeveloped areas and has a double threshold effect. (2) When the poverty rate is used to express the poverty level, it can be found that the development of rural tourism at a high level can significantly promote poverty alleviation. (3) When the number of poor people is used to express the poverty level, it can be found that the poverty reduction effect shows a marginal decreasing trend with the phased improvement of the development level of rural tourism. (4) The degree of government intervention, industrial structure, economic development, and fixed asset investment play a more significant role in poverty alleviation. …”

Descriptive statistical analysis of variables. by Fuwei Wang (721008)

“…The results show that: (1) Rural tourism development has a non-linear positive impact on poverty alleviation in underdeveloped areas and has a double threshold effect. (2) When the poverty rate is used to express the poverty level, it can be found that the development of rural tourism at a high level can significantly promote poverty alleviation. (3) When the number of poor people is used to express the poverty level, it can be found that the poverty reduction effect shows a marginal decreasing trend with the phased improvement of the development level of rural tourism. (4) The degree of government intervention, industrial structure, economic development, and fixed asset investment play a more significant role in poverty alleviation. …”

BMI structure of women and men. by Albertas Skurvydas (550032)

“…Perceived stress was assessed using the <i>10-item Perceived Stress Scale (PSS-10</i>). Descriptive analysis, a two-way analysis of variance, and linear regression analysis were used to interpret the data.…”

S1 Dataset - by Albertas Skurvydas (550032)

“…Perceived stress was assessed using the <i>10-item Perceived Stress Scale (PSS-10</i>). Descriptive analysis, a two-way analysis of variance, and linear regression analysis were used to interpret the data.…”

Average (σ) descriptive data. by Albertas Skurvydas (550032)

“…Perceived stress was assessed using the <i>10-item Perceived Stress Scale (PSS-10</i>). Descriptive analysis, a two-way analysis of variance, and linear regression analysis were used to interpret the data.…”

Molecular Simulation of Argon Adsorption and Diffusion in a Microporous Carbon with Poroelastic Couplings by Kévin Potier (16447522)

“…Finally, we show that self-diffusivity decreases with applied pressure, following an almost perfectly linear evolution with the free volume. …”

Molecular Simulation of Argon Adsorption and Diffusion in a Microporous Carbon with Poroelastic Couplings by Kévin Potier (16447522)

“…Finally, we show that self-diffusivity decreases with applied pressure, following an almost perfectly linear evolution with the free volume. …”

BMI groups by SES. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”