随着全球癌症发病率的不断攀升,预计到2040年新发癌症病例将达到2840万,癌症患者的有效自我管理显得尤为重要。本文综述知信行(KABP or KAP)理论在癌症患者自我管理中的应用。KAP理论涉及知识、信念与行为3个方面,强调这些元素之间的相...随着全球癌症发病率的不断攀升,预计到2040年新发癌症病例将达到2840万,癌症患者的有效自我管理显得尤为重要。本文综述知信行(KABP or KAP)理论在癌症患者自我管理中的应用。KAP理论涉及知识、信念与行为3个方面,强调这些元素之间的相互作用对患者行为的影响。本综述首先概述了KAP理论的基本框架和原理,随后探讨了该理论在癌症患者自我管理中的具体应用,包括提高疾病认知、改善负性情绪、增强治疗依从性等方面。研究表明,KAP理论的应用可显著提升癌症患者的健康知识水平,改善态度与行为,进而提高治疗效果和生活质量。然而,当前研究在癌症类型和治疗阶段的覆盖上还存在局限,未来研究需扩展至更广泛的癌症种类和治疗过程,结合创新技术进行长期跟踪评估,以全面提升癌症患者的自我管理能力和生活质量。展开更多
The diffusion trajectory of a Brownian particle passing over the saddle point of a two-dimensional quadratic potential energy surface is tracked in detail according to the deep learning strategies.Generative adversari...The diffusion trajectory of a Brownian particle passing over the saddle point of a two-dimensional quadratic potential energy surface is tracked in detail according to the deep learning strategies.Generative adversarial networks(GANs)emanating in the category of machine learning(ML)frameworks are used to generate and assess the rationality of the data.While their optimization is based on the long short-term memory(LSTM)strategies.In addition to drawing a heat map,the optimal path of two-dimensional(2D)diffusion is simultaneously demonstrated in a stereoscopic space.The results of our simulation are completely consistent with the previous theoretical predictions.展开更多
文摘随着全球癌症发病率的不断攀升,预计到2040年新发癌症病例将达到2840万,癌症患者的有效自我管理显得尤为重要。本文综述知信行(KABP or KAP)理论在癌症患者自我管理中的应用。KAP理论涉及知识、信念与行为3个方面,强调这些元素之间的相互作用对患者行为的影响。本综述首先概述了KAP理论的基本框架和原理,随后探讨了该理论在癌症患者自我管理中的具体应用,包括提高疾病认知、改善负性情绪、增强治疗依从性等方面。研究表明,KAP理论的应用可显著提升癌症患者的健康知识水平,改善态度与行为,进而提高治疗效果和生活质量。然而,当前研究在癌症类型和治疗阶段的覆盖上还存在局限,未来研究需扩展至更广泛的癌症种类和治疗过程,结合创新技术进行长期跟踪评估,以全面提升癌症患者的自我管理能力和生活质量。
基金supported by the Natural Science Foundation of Shandong Province(Grant No.ZR2020MA092)the Innovation Project for Graduate Students of Ludong University(Grant No.IPGS2024-048).
文摘The diffusion trajectory of a Brownian particle passing over the saddle point of a two-dimensional quadratic potential energy surface is tracked in detail according to the deep learning strategies.Generative adversarial networks(GANs)emanating in the category of machine learning(ML)frameworks are used to generate and assess the rationality of the data.While their optimization is based on the long short-term memory(LSTM)strategies.In addition to drawing a heat map,the optimal path of two-dimensional(2D)diffusion is simultaneously demonstrated in a stereoscopic space.The results of our simulation are completely consistent with the previous theoretical predictions.
