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Exploring the Dynamics of Dietary Self-Monitoring Adherence Among Participants in a Digital Behavioral Weight Loss Program: Model Development Study

Exploring the Dynamics of Dietary Self-Monitoring Adherence Among Participants in a Digital Behavioral Weight Loss Program: Model Development Study

The values for the cognitive architecture’s system parameters (c, a, s, and α) were adopted from a study that used ACT-R to explore the impact of self-efficacy scores and different reminder strategies on health behavior changes [33]. The model included 5 free parameters: the coefficient β and intercept β0 of the total activation, the intention-action transformation coefficient Tr, and the initial reward R0 and utility U0 of the production rules.

Hui Lin, Min Yang, Zhiheng Zhou, Yu Zhang, Ning Deng

J Med Internet Res 2025;27:e65431

Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study

Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study

(A) AA, (B) PCC, (C) AM, (D) AC, (E) AGN, and (F) ACC. AA: adrenocortical adenoma; AC: adrenal cyst; ACC: adrenocortical carcinoma; AGN: adrenal ganglioneuroma; AM: adrenal myelolipoma; MA-YOLO: Multi-Attention YOLO; PCC: pheochromocytoma. Performance of Multi-Attention YOLO (MA-YOLO) model on the external test set. (A) Average m AP and Io U for localizing and classifying the 6 types of adrenal masses across different phases.

Liuyang Yang, Xinzhang Zhang, Zhenhui Li, Jian Wang, Yiwen Zhang, Liyu Shan, Xin Shi, Yapeng Si, Shuailong Wang, Lin Li, Ping Wu, Ning Xu, Lizhu Liu, Junfeng Yang, Jinjun Leng, Maolin Yang, Zhuorui Zhang, Junfeng Wang, Xingxiang Dong, Guangjun Yang, Ruiying Yan, Wei Li, Zhimin Liu, Wenliang Li

J Med Internet Res 2025;27:e65937