Undetermined http://hdl.handle.net/20.500.11897/164248 2024-03-28T13:14:23Z 2024-03-28T13:14:23Z 张环宇 赵娟 王晨 邹丹丹 冯亚杰 刘俊萍 刘智新 梁立波 http://hdl.handle.net/20.500.11897/704869 2024-03-21T13:28:35Z 2024-03-01T00:00:00Z

Title: 医生医患环境感知与防御性医疗行为倾向关联研究 Authors: 张环宇; 赵娟; 王晨; 邹丹丹; 冯亚杰; 刘俊萍; 刘智新; 梁立波 Abstract: 目的：了解医生防御性医疗行为倾向现状，探索医生的医患环境感知与防御性医疗行为倾向之间的关系。方法：对黑龙江省27家公立医院的医生进行问卷调查，采用因子分析法提取医生的防御性医疗行为倾向类型，运用Amos26.0构建医生医患环境感知与防御性医疗行为倾向关系的结构方程模型。结果：医生积极防御性医疗行为倾向平均得分为14.98±5.24，消极防御性医疗行为倾向得分为16.37±7.62。医生积极防御性医疗行为倾向与医患互动（β=0.435,P<0.001）、制度环境（β=0.146,P<0.001）和文化环境（β=0.132,P=0.012）存在正相关关系，与对患者行为态度评价无关（P>0.1）。消极防御性医疗行为倾向与医患互动（β=-0.279,P<0.001）、对患者行为态度评价（β=-0.210,P=0.012）和文化环境（β=-0.042,P<0.001）存在负相关关系，与制度环境（β=0.078,P=0.007）存在正相关关系。结论：提升医生对患者行为及态度的评价，加强医患互动以及改善外部的制度和文化环境将有利于医生正确认识防御性医疗行为，减少消极防御性医疗行为的发生。; 目的：了解医生防御性医疗行为倾向现状，探索医生的医患环境感知与防御性医疗行为倾向之间的关系。方法：对黑龙江省27家公立医院的医生进行问卷调查，采用因子分析法提取医生的防御性医疗行为倾向类型，运用Amos26.0构建医生医患环境感知与防御性医疗行为倾向关系的结构方程模型。结果：医生积极防御性医疗行为倾向平均得分为14.98±5.24，消极防御性医疗行为倾向得分为16.37±7.62。医生积极防御性医疗行为倾向与医患互动（β=0.435,P<0.001）、制度环境（β=0.146,P<0.001）和文化环境（β=0.132,P=0.012）存在正相关关系，与对患者行为态度评价无关（P>0.1）。消极防御性医疗行为倾向与医患互动（β=-0.279,P<0.001）、对患者行为态度评价（β=-0.210,P=0.012）和文化环境（β=-0.042,P<0.001）存在负相关关系，与制度环境（β=0.078,P=0.007）存在正相关关系。结论：提升医生对患者行为及态度的评价，加强医患互动以及改善外部的制度和文化环境将有利于医生正确认识防御性医疗行为，减少消极防御性医疗行为的发生。

2024-03-01T00:00:00Z Zhang, Jiachen Jin, Ningde Ren, Weikai http://hdl.handle.net/20.500.11897/704793 2024-03-21T12:50:36Z 2024-01-01T00:00:00Z

Title: Generalized magnitude and sign correlations in nonlinear time series Authors: Zhang, Jiachen; Jin, Ningde; Ren, Weikai Abstract: To profoundly comprehend the underlying behaviors of dynamical systems with respect to time scales, we extend the magnitude and sign correlations proposed by Ashkenazy et al., based on the motivation of exploring the effect of time spans on the long-term correlation. We conduct simulations on characterizing fractional Brownian motion (fBm) with different Hurst exponents to demonstrate that the new approach is more appropriate to characterize the magnitude and sign correlations of the fluctuation in the time series. Then we apply this method to investigate the well-known ball bearing test data from Case Western Reserve University (CWRU) Bearing Data Center. The results show that the generalized magnitude and sign correlations analysis can be a helpful tool for revealing the evolution of physical process of the vibration of the bearing systems. It may help address the challenge of the profoundly comprehension of the multiple time scale physical behaviors beyond the series in terms of microscopic and macroscopic views.

2024-01-01T00:00:00Z Wen, Tingting Zhang, Xuefei Zhu, Jiaojiao Zhang, Susu Rhaman, Mohammad Saidur Zeng, Wei http://hdl.handle.net/20.500.11897/704789 2024-03-21T12:48:36Z 2024-02-07T00:00:00Z

Title: A SLAF-based high-density genetic map construction and genetic architecture of thermotolerant traits in maize (Zea mays L.) Authors: Wen, Tingting; Zhang, Xuefei; Zhu, Jiaojiao; Zhang, Susu; Rhaman, Mohammad Saidur; Zeng, Wei Abstract: The leaf scorching trait at flowering is a crucial thermosensitive phenotype in maize under high temperature stress (HS), yet the genetic basis of this trait remains poorly understood. In this study, we genotyped a 254 RIL-F2:8 population, derived from the leaf scorch-free parental inbred line Abe2 and the leaf scorching maternal inbred line B73, using the specific-locus amplified fragment sequencing (SLAF-seq) method. A total of 10,112 polymorphic SLAF markers were developed, and a high-density genetic map with a total length of 1,475.88 cM was constructed. The average sequencing depth of the parents was 55.23X, and that of the progeny was 12.53X. Then, we identified a total of 16 QTLs associated with thermotolerant traits at flowering, of which four QTLs of leaf scorching damage (LS) were distributed on chromosomes 1 (qLS1), 2 (qLS2.1, qLS2.2) and 3 (qLS3), which could explain 19.73% of phenotypic variation. Combining one qLS1 locus with QTL-seq results led to the identification of 6 candidate genes. Expression experiments and sequence variation indicated that Zm00001d033328, encoding N-acetyl-gamma-glutamyl-phosphate reductase, was the most likely candidate gene controlling thermotolerant traits at flowering. In summary, the high-density genetic map and genetic basis of thermotolerant traits lay a critical foundation for mapping other complex traits and identifying the genes associated with thermotolerant traits in maize.

2024-02-07T00:00:00Z Han, Jiawei Li, Qingsa Xu, Ying Zhu, Yan Wu, Bingxin http://hdl.handle.net/20.500.11897/704771 2024-03-21T12:39:35Z 2024-02-01T00:00:00Z

Title: Design of a Trusted Content Authorization Security Framework for Social Media Authors: Han, Jiawei; Li, Qingsa; Xu, Ying; Zhu, Yan; Wu, Bingxin Abstract: Artificial intelligence-generated content (AIGC) technology has had disruptive results in AI, representing a new trend in research and application and promoting a new era of AI. The potential benefits of this technology are both profound and diverse. However, the benefits of generative tools are accompanied by a series of significant challenges, the most critical of which is that it may cause AI information pollution on social media and mislead the public. Traditional network security models have shown their limitations in dealing with today's complex network threats, so ensuring that generated content published on social media accurately reflects the true intentions of content creators has become particularly important. This paper proposes a security framework called "secToken". The framework adopts multi-level security and privacy protection measures. It combines deep learning and network security technology to ensure users' data integrity and confidentiality while ensuring credibility of the published content. In addition, the framework introduces the concept of zero trust security, integrates OAuth2.0 ideas, and provides advanced identity authentication, fine-grained access control, continuous identity verification, and other functions, to comprehensively guarantee the published content's reliability on social media. This paper considers the main issues of generative content management in social media and offers some feasible solutions. Applying the security framework proposed in this paper, the credibility of generated content published on social media can be effectively ensured and can help detect and audit published content on social media. At the operational level, when extracting key information summaries from user-generated multimodal artificial intelligence-generated content and binding them to user identity information as a new token to identify user uniqueness, it can effectively associate user identity information with the current network status and the generated content to be published on the platform. This method significantly enhances system security and effectively prevents information pollution caused by generative artificial intelligence on social media platforms. This innovative method provides a powerful solution for addressing social and ethical challenges and network security issues.

2024-02-01T00:00:00Z

map