Factors associated with AL score (multivariable regression analyses for the third follow-up). by Eric Priedemann (21175492)

Subjects:

Intraoperative facial and intraoral photographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

Posttreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

Pretreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

Decrease in loss during the training process. by Muhammad Idrees (92773)

Superimposition of the cephalometric tracings obtained before and after treatment of case with mandibular third molar extraction. by Lijuan Liu (136685)

Comparison of pretreatment cephalometric variables between premolar extraction and mandibular third molar extraction groups. by Lijuan Liu (136685)

Predicted^* value of age at school entry (in years), by level of height-for-age. by Rabi Joël Gansaonré (20416803)

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

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

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

Comparison of upper and lower arch crowding between premolar extraction group and the mandibular third molar extraction groups. by Lijuan Liu (136685)

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

Participants enrollment. by Chikondi Maluwa (20660522)

“…Among the 422 caregivers who participated in the study, 267 (63.2%) were females and mean age was 44.94 years. The baseline mean knowledge level score was 9.5 (38.0%) and rose to 21.08 (84.3%) p = 0.000 immediate post-health education and a 2.1% decrease 20.54 (82.2%) p<0.001 at week six from the immediate post health education score. …”

KAP assessment scores (n = 422). by Chikondi Maluwa (20660522)

“…Among the 422 caregivers who participated in the study, 267 (63.2%) were females and mean age was 44.94 years. The baseline mean knowledge level score was 9.5 (38.0%) and rose to 21.08 (84.3%) p = 0.000 immediate post-health education and a 2.1% decrease 20.54 (82.2%) p<0.001 at week six from the immediate post health education score. …”

Impact of changes in competitive strength of direct marketing channels on pharmaceutical pricing and profits. by Yan Wen (416285)

Comparison of treatment effects between premolar extraction and mandibular third molar extraction groups. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

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)

Market structure of e-commerce platforms. by Min Zhao (66793)

“…Based on the network externality perspective, considering the duopoly e-commerce platform market, this paper uses game theory to construct a theoretical model to compare and analyze the changes in consumers, merchants, platforms, and social total welfare when the reputation information of e-commerce products is symmetric and asymmetric. …”

A sample choice question with a warning label. by Yulian Ding (5984591)

“…The rapid increase in SSB consumption in China necessitates robust regulations. This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. …”