Atg14 plays a cell-intrinsic role in orchestrating eTreg survival but not terminal differentiation. by Erienne G. Norton (9612079)

“…Jun/Fos transcription factors with predicted decreased activity in Atg14-deficient versus control eTregs are labeled. …”

An illustration of how GBT works. by Hoang Thanh Nhon (22311837)

“…The results indicate that incorporating business efficiency scores significantly enhances the models’ accuracy. For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

The average performance of the test set. by Hoang Thanh Nhon (22311837)

“…The results indicate that incorporating business efficiency scores significantly enhances the models’ accuracy. For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

The variables used and equations. by Hoang Thanh Nhon (22311837)

“…The results indicate that incorporating business efficiency scores significantly enhances the models’ accuracy. For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

An illustration of how RF works. by Hoang Thanh Nhon (22311837)

“…The results indicate that incorporating business efficiency scores significantly enhances the models’ accuracy. For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

The proposed method work-flow. by Hoang Thanh Nhon (22311837)

“…The results indicate that incorporating business efficiency scores significantly enhances the models’ accuracy. For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

Sociodemographic characteristics of the sample. by Senay Yildirim-Kahriman (22693464)

“…A moderate negative correlation was observed between CAM and CAM-MYCS scores (r = −0.511; p < 0.001), indicating that increased awareness of real causes is associated with decreased belief in myths. Regression analysis revealed that CAM scores were significantly predicted by academic year, being in the normal Body Mass Index (BMI) spectrum, and by having attended an oncology course (R² = 0.142; p < 0.001), whereas CAM-MYCS scores were predicted by academic year and high BMI values (R² = 0.072; p < 0.001). …”

Means scores of CAM and CAM-MYCS. by Senay Yildirim-Kahriman (22693464)

“…A moderate negative correlation was observed between CAM and CAM-MYCS scores (r = −0.511; p < 0.001), indicating that increased awareness of real causes is associated with decreased belief in myths. Regression analysis revealed that CAM scores were significantly predicted by academic year, being in the normal Body Mass Index (BMI) spectrum, and by having attended an oncology course (R² = 0.142; p < 0.001), whereas CAM-MYCS scores were predicted by academic year and high BMI values (R² = 0.072; p < 0.001). …”

Sampling scenarios used in our experiments. by Anna Beatriz Silva (20989245)

“…Results show that Hybridsampling techniques significantly improves models’ performance compared to Undersampling and Oversampling, highlighting the importance of a proper data balancing in predictive models for preterm birth. …”

Hybridsampling triple size models performance. by Anna Beatriz Silva (20989245)

“…Results show that Hybridsampling techniques significantly improves models’ performance compared to Undersampling and Oversampling, highlighting the importance of a proper data balancing in predictive models for preterm birth. …”

Multiscale QM/MM Simulations Identify the Roles of Asp239 and 1‑OH···Nucleophile in Transition State Stabilization in Arabidopsis thaliana Cell-Wall Invertase 1 by Wijitra Jitonnom (22410515)

“…The 1-OH···nucleophile interaction has been found to provide an important contribution to the transition state stabilization, with a contribution of ∼7 kcal/mol, and affected glycosylation more significantly than deglycosylation. This study provides molecular insights that improve the current understanding of sucrose binding and hydrolysis in members of clan GH-J, which may benefit protein engineering research. …”

Predicting Dinitrogen Activation and Coupling with Carbon Dioxide and Other Small Molecules by Methyleneborane: A Combined DFT and Machine Learning Study by Feiying You (22119041)

“…The capture of carbon dioxide is extremely important due to the increasingly severe greenhouse effect, and the conversion of dinitrogen into high-value N–C compounds is of great significance. Here, we predict through density functional theory calculations that the coupling of dinitrogen with carbon dioxide by methyleneborane becomes favorable both thermodynamically and kinetically. …”

n-fold cross-validation and predictor for the δ³⁴S random forest regression model: A) Observed and predicted δ³⁴S isotope values. by Borja González-Rabanal (22138847)

Prediction of transition readiness. by Sharon Barak (4803966)

“…<div><p>For individuals with Duchenne or Becker muscular dystrophy (DMD and BMD, respectively), transitioning to adulthood presents significant challenges. Although considerable attention has been given to facilitating medical transitions due to the complexity of these conditions, less focus has been placed on other aspects of the transition, such as achieving independence. …”

R scripts. by Ehsan Ghafouri (21688451)

“…Future projections under Shared Socioeconomic Pathways (SSP) scenarios SSP245 and SSP585 for 2030, 2050, 2070, and 2090 suggested a decline in suitable habitats for <i>T. undulata</i>, with high-suitability areas projected to decrease by up to 98% and unsuitable habitats predicted to increase. …”

Bioclimatic variables used in the study. by Ehsan Ghafouri (21688451)

“…Future projections under Shared Socioeconomic Pathways (SSP) scenarios SSP245 and SSP585 for 2030, 2050, 2070, and 2090 suggested a decline in suitable habitats for <i>T. undulata</i>, with high-suitability areas projected to decrease by up to 98% and unsuitable habitats predicted to increase. …”

Response Curves of environmental variables. by Ehsan Ghafouri (21688451)

“…Future projections under Shared Socioeconomic Pathways (SSP) scenarios SSP245 and SSP585 for 2030, 2050, 2070, and 2090 suggested a decline in suitable habitats for <i>T. undulata</i>, with high-suitability areas projected to decrease by up to 98% and unsuitable habitats predicted to increase. …”

Relative Variable Importance. by Ehsan Ghafouri (21688451)

“…Future projections under Shared Socioeconomic Pathways (SSP) scenarios SSP245 and SSP585 for 2030, 2050, 2070, and 2090 suggested a decline in suitable habitats for <i>T. undulata</i>, with high-suitability areas projected to decrease by up to 98% and unsuitable habitats predicted to increase. …”

Primers for quantitative real-time PCR. by Ya-nan Hu (12508990)

“…</p><p>Results</p><p>Immunofluorescence analysis revealed no significant difference in the intracellular localization of the p.Gly343Ser mutation, whereas protein expression of the p.Ala627Thr mutation was decreased and predominantly localized in the cytoplasm. …”

WGCNA as well as the co-expression network. by Hao Wang (39217)