目的探讨乌克兰战时军队人员心理急救(psychological first aid,PFA)模式和流程,为我军PFA的开展及培训提供借鉴。方法重点介绍乌克兰战时PFA三级结构模式,梳理其具体任务、实施者、PFA的不同时间、地点以及内容。结果乌克兰军队PFA模...目的探讨乌克兰战时军队人员心理急救(psychological first aid,PFA)模式和流程,为我军PFA的开展及培训提供借鉴。方法重点介绍乌克兰战时PFA三级结构模式,梳理其具体任务、实施者、PFA的不同时间、地点以及内容。结果乌克兰军队PFA模式和流程已经过顿巴斯战争(2016~2019年)和当前俄乌冲突的实践检验,对我军未来战场PFA工作具有启示作用。结论通过研究乌克兰战时PFA模式,本文从培养一线救援力量、确立基本原则和策略、构建阶梯后送体系三个方面提出了对我军PFA的启示;并指出培养一线救援力量是提高战场心理急救时效的前提,确立基本原则和策略是开展战场心理急救工作的关键,构建阶梯后送体系是实施战场心理急救任务的保证。展开更多
目的了解二次疫情封闭式管理模式下,医学专业大一新生的心理状态,并调查分析心理因素和录课视频播放+线上答疑授课方式对学习效果的影响,为应对突发情况下优化教学、提高学习效果提供依据。方法2021-01-26~27日对医学专业352名大一新生...目的了解二次疫情封闭式管理模式下,医学专业大一新生的心理状态,并调查分析心理因素和录课视频播放+线上答疑授课方式对学习效果的影响,为应对突发情况下优化教学、提高学习效果提供依据。方法2021-01-26~27日对医学专业352名大一新生进行问卷调查,采取单因素方差分析和Logistic回归方法对调查数据进行分析。结果78.12%(275/352)的大一新生有焦虑/抑郁情绪,其中少数民族学生心理健康问卷4(patient health questionnaire 4,PHQ-4)评分显著低于汉族学生。封闭式管理下新生焦虑/抑郁程度增加的风险是非封闭式管理的2.485倍(OR=2.485,95%CI:1.568~3.938,P<0.001)。疫情心理波动使新生学习效果降低发生的概率增加了1.649倍(OR=1.649,95%CI:1.094~2.487)。94.03%(331/352)的新生对视频播放+线上答疑授课方式表示满意。相比疫情期间的学习方式,78.69%(277/352)的新生认为传统课堂授课是最合适的学习方式。结论二次突发疫情使汉族学生更易发生焦虑/抑郁;疫情造成的心理波动使新生的学习效果影响显著,应积极给予心理疏导;虽然新生对视频播放+线上答疑授课方式满意度较高,但仍然认为传统课堂授课模式是最合适的学习方式。展开更多
Background:The rate at which the anticancer drug paclitaxel is cleared from the body markedly impacts its dosage and chemotherapy effectiveness.Importantly,paclitaxel clearance varies among individuals,primarily becau...Background:The rate at which the anticancer drug paclitaxel is cleared from the body markedly impacts its dosage and chemotherapy effectiveness.Importantly,paclitaxel clearance varies among individuals,primarily because of genetic polymorphisms.This metabolic variability arises from a nonlinear process that is influenced by multiple single nucleotide polymorphisms(SNPs).Conventional bioinformatics methods struggle to accurately analyze this complex process and,currently,there is no established efficient algorithm for investigating SNP interactions.Methods:We developed a novel machine‐learning approach called GEP‐CSIs data mining algorithm.This algorithm,an advanced version of GEP,uses linear algebra computations to handle discrete variables.The GEP‐CSI algorithm calculates a fitness function score based on paclitaxel clearance data and genetic polymorphisms in patients with nonsmall cell lung cancer.The data were divided into a primary set and a validation set for the analysis.Results:We identified and validated 1184 three‐SNP combinations that had the highest fitness function values.Notably,SERPINA1,ATF3 and EGF were found to indirectly influence paclitaxel clearance by coordinating the activity of genes previously reported to be significant in paclitaxel clearance.Particularly intriguing was the discovery of a combination of three SNPs in genes FLT1,EGF and MUC16.These SNPs‐related proteins were confirmed to interact with each other in the protein–protein interaction network,which formed the basis for further exploration of their functional roles and mechanisms.Conclusion:We successfully developed an effective deep‐learning algorithm tailored for the nuanced mining of SNP interactions,leveraging data on paclitaxel clearance and individual genetic polymorphisms.展开更多
文摘目的探讨乌克兰战时军队人员心理急救(psychological first aid,PFA)模式和流程,为我军PFA的开展及培训提供借鉴。方法重点介绍乌克兰战时PFA三级结构模式,梳理其具体任务、实施者、PFA的不同时间、地点以及内容。结果乌克兰军队PFA模式和流程已经过顿巴斯战争(2016~2019年)和当前俄乌冲突的实践检验,对我军未来战场PFA工作具有启示作用。结论通过研究乌克兰战时PFA模式,本文从培养一线救援力量、确立基本原则和策略、构建阶梯后送体系三个方面提出了对我军PFA的启示;并指出培养一线救援力量是提高战场心理急救时效的前提,确立基本原则和策略是开展战场心理急救工作的关键,构建阶梯后送体系是实施战场心理急救任务的保证。
文摘目的了解二次疫情封闭式管理模式下,医学专业大一新生的心理状态,并调查分析心理因素和录课视频播放+线上答疑授课方式对学习效果的影响,为应对突发情况下优化教学、提高学习效果提供依据。方法2021-01-26~27日对医学专业352名大一新生进行问卷调查,采取单因素方差分析和Logistic回归方法对调查数据进行分析。结果78.12%(275/352)的大一新生有焦虑/抑郁情绪,其中少数民族学生心理健康问卷4(patient health questionnaire 4,PHQ-4)评分显著低于汉族学生。封闭式管理下新生焦虑/抑郁程度增加的风险是非封闭式管理的2.485倍(OR=2.485,95%CI:1.568~3.938,P<0.001)。疫情心理波动使新生学习效果降低发生的概率增加了1.649倍(OR=1.649,95%CI:1.094~2.487)。94.03%(331/352)的新生对视频播放+线上答疑授课方式表示满意。相比疫情期间的学习方式,78.69%(277/352)的新生认为传统课堂授课是最合适的学习方式。结论二次突发疫情使汉族学生更易发生焦虑/抑郁;疫情造成的心理波动使新生的学习效果影响显著,应积极给予心理疏导;虽然新生对视频播放+线上答疑授课方式满意度较高,但仍然认为传统课堂授课模式是最合适的学习方式。
基金Beijing Hope Run Special Fund of the Cancer Foundation of China,Grant/Award Number:LC2020L03CAMS Innovation Fund for Medical Sciences,Grant/Award Number:2021‐I2M‐1‐014。
文摘Background:The rate at which the anticancer drug paclitaxel is cleared from the body markedly impacts its dosage and chemotherapy effectiveness.Importantly,paclitaxel clearance varies among individuals,primarily because of genetic polymorphisms.This metabolic variability arises from a nonlinear process that is influenced by multiple single nucleotide polymorphisms(SNPs).Conventional bioinformatics methods struggle to accurately analyze this complex process and,currently,there is no established efficient algorithm for investigating SNP interactions.Methods:We developed a novel machine‐learning approach called GEP‐CSIs data mining algorithm.This algorithm,an advanced version of GEP,uses linear algebra computations to handle discrete variables.The GEP‐CSI algorithm calculates a fitness function score based on paclitaxel clearance data and genetic polymorphisms in patients with nonsmall cell lung cancer.The data were divided into a primary set and a validation set for the analysis.Results:We identified and validated 1184 three‐SNP combinations that had the highest fitness function values.Notably,SERPINA1,ATF3 and EGF were found to indirectly influence paclitaxel clearance by coordinating the activity of genes previously reported to be significant in paclitaxel clearance.Particularly intriguing was the discovery of a combination of three SNPs in genes FLT1,EGF and MUC16.These SNPs‐related proteins were confirmed to interact with each other in the protein–protein interaction network,which formed the basis for further exploration of their functional roles and mechanisms.Conclusion:We successfully developed an effective deep‐learning algorithm tailored for the nuanced mining of SNP interactions,leveraging data on paclitaxel clearance and individual genetic polymorphisms.
