后疫情时代数字化生存的技术哲学思考

在后疫情时代数字化生存表现出更为鲜明的时代特征,以对数字化生存的技术哲学分析作为理论支撑,从技术本质、技术价值、技术异化和技术实践四个层面对数字化生存进行技术视角下的全面认识,既要肯定数字化技术对人类生产生活数字化转型的积极意义,又要警惕数字化技术应用对人本界限的跨越,一旦越界,就会产生技术焦虑、人类经验被取缔和群体性孤独等社会问题,技术力量异化为技术权力.因此,应坚持以人为本的价值取向,积极发挥数字化技术的人类自由全面发展价值,从而保证数字化生存的高质量发展.     

新时代高素质人才培养体系探究 ——基于吉林省地方高校教育实践的视角

构建新时代高素质人才培养体系是贯彻落实全国教育大会和全国高等学校本科教育工作会议精神的要求，是培养引领区域经济社会发展的高素质人才的需要，是吉林省地方高校面临的新挑战。本文从人才培养目标定位、专业设置更新、内部治理结构、课程体系构建、师资队伍建设等方面分析了吉林省地方高校高素质人才培养体系目前存在的问题，并给出相应解决方案，为吉林省地方高校高素质人才培养提供有益参考。     

跨学科体验式学习的实践路径与保障机制——基于加拿大多伦多大学的个案研究

建设世界一流大学和一流学科是我国高等教育领域中长期改革与发展的目标之一。学习借鉴世界著名大学一流人才培养的成功经验，可更加快速和有效地推进我国高校的"双一流"建设。加拿大多伦多大学工程学院是最早采用跨学科体验式学习的学院之一，主要通过设置跨学院学位与课程、实施体验式研究活动与实习项目、设立专门机构等，来致力于培养世界一流人才。借鉴多伦多大学卓越人才培养经验，我国高校可通过变革"教"与"学"、丰富学生学习体验、强调国际视野和加强伙伴合作、合理组织和调配战略资源等，来推进世界一流大学和一流学科的建设步伐，培养更多高层次复合型世界一流人才。     

Environmental Justice in the Context of Scientifi Uncertainty: On the Safety of Genetically Modifi Organisms

应对风险特别是科学不确定性所导致的风险，实现和维护环境正义是当今时代的 一个前沿核心议题。转基因生物安全为代表的科学不确定性背景下的环境正义，需要 建立在相应的科学研究基础之上，但在本质上乃是一种社会构建。对转基因生物技术 及其产品等现代科技的研发、应用和推广等活动，应当维护其市场自由，与此同时， 为了公共安全以及社会弱势群体的最大利益，还应当对相关科技活动进行必要的政府 干预和法律规制。     

Species richness,phylogenetic and functional structure of bird communities in Chinese university campuses are associated with divergent variables

University campus is an important component of urban landscapes for biodiversity conservation. However, to our knowledge no study has quantitatively assessed the diversity and structure of bird communities in Chinese university campuses, especially from phylogenetic and functional perspectives. Here, for the first time we linked species richness, phylogenetic structure and body mass structure of campus bird communities with contemporary climate, glacial-interglacial climate change, altitudinal range, population density around campus, area and age of campus to test their associations. We found 393 bird species in 38 university campuses (29% of all Chinese bird species, two species are endangered, four species are vulnerable, and 33 species are near threatened). The variables significantly correlated with campus bird species richness, phylogenetic structure and body mass structure were altitudinal range and mean annual precipitation, glacial-interglacial anomaly in temperature, and altitudinal range, respectively. In particular, there were more species in steeper and wetter campuses, more young species clustered in campuses with stable glacial-interglacial climate, and more species with smaller body size in steeper campuses. Our study highlights the importance of considering both phylogenetic and functional information for biodiversity conservation in urban ecosystems.     

Semiparametric regression of clustered current status data

This paper discusses regression analysis of clustered current status data under semiparametric additive hazards models. In particular, we consider the situation when cluster sizes can be informative about correlated failure times from the same cluster. To address the problem, we present estimating equation-based estimation procedures and establish asymptotic properties of the resulting estimates. Finite sample performance of the proposed method is assessed through an extensive simulation study, which indicates the procedure works well. The method is applied to a motivating data set from a lung tumorigenicity study.     

湖南省林地变更利用效益的时空特征与影响因素分析

提高林地变更利用效益能够缓解我国面临的林地利用、保护与建设用地扩张之间的矛盾,实现林地可持续利用从而促进林业可持续发展.首先计算了2014—2018年5年间的湖南省122个县市区的林地变更利用效益,利用ArcGIS对湖南省各县市区的林地变更利用效益的测算结果进行可视化呈现,分析其时空演变特征,然后采用计量经济学模型检验了湖南省林地变更利用效益的各影响因素.研究认为:1)湖南省林地变更利用效益高于全国水平,且增速呈下降趋势;2)湖南省区域之间的林地变更利用效益存在明显的差异,主要表现为大湘西地区的较低值连片集中分布和长株潭地区的较高值连片集中分布;3)每万人大学生数、每万人互联网户数、货运总量、劳均外商直接投资、公共设施用地占比、工矿仓储用地占比、对外交通用地占比与林地变更利用效益呈正相关,人口密度、居住用地占比与林地变更利用效益呈负相关,而人均财政支出、人均年末存款余额、招拍挂土地出让面积占总出让面积比及商业服务用地占比不对湖南省林地变更利用效益产生影响.     

局部平稳部分线性面板数据模型的统计推断

部分线性模型是一类非常重要的半参数回归模型,由于它既含有参数部分又含有非参数部分,与常规的线性模型相比具有更强的适应性和解释能力。文章研究带有局部平稳协变量的固定效应部分线性面板数据模型的统计推断。首先提出一个两阶段估计方法得到模型中未知参数和非参数函数的估计,并证明估计量的渐近性质,然后运用不变原理构造出非参数函数的一致置信带,最后通过数值模拟研究和实例分析验证了该方法的有效性。     

Resampling-based stepwise multiple testing procedures with applications to clinical trial data

Endpoints in clinical trials are often highly correlated. However, the commonly used multiple testing procedures in clinical trials either do not take into consideration the correlations among test statistics or can only exploit known correlations. Westfall and Young constructed a resampling-based stepdown method that implicitly utilizes the correlation structure of test statistics in situations with unknown correlations. However, their method requires a “subset pivotality” assumption. Romano and Wolf proposed a more general stepdown method, which does not require such an assumption. There is at present little experience with the application of such methods in analyzing clinical trial data. We advocate the application of resampling-based multiple testing procedures to clinical trials data when appropriate. We have conjectured that the resampling-based stepdown methods can be extended to a stepup procedure under appropriate assumptions and examined the performance of both stepdown and stepup methods under a variety of correlation structures and distribution types. Results from our simulation studies support the use of the resampling-based methods under various scenarios, including binary data and small samples, with strong control of Family wise type I error rate (FWER). Under positive dependence and for binary data even under independence, the resampling-based methods are more powerful than the Holm and Hochberg methods. Last, we illustrate the advantage of the resampling-based stepwise methods with two clinical trial data examples: a cardiovascular outcome trial and an oncology trial.