中国饲料原粮供应模式分析

养殖业的发展对饲料的供应提出了数量、品质、时间等诸多要求,而占饲料成本80%的原料粮供应成为当前养殖业健康发展的瓶颈,面对我国部门分割、地区封锁严重,粮食流通不畅、粮食产业链短小等诸多问题,文章着重对当前饲料原粮供应的各种模式进行分析,并提出推广成功模式、创新供应链建设、协调原粮供应主体之间的关系以及加强粮食产销区合作的建议。     

网络化环境下信息技术与口译教学整合路径初探

为适应新时期培养复合型口译人才的需要,口译教学与网络化、数字化环境下的信息技术必须进一步的重组、优化和整合。     

市场转型下的老年供养研究

现代化理论预测未来家庭纽带会减弱,对老人的家庭供养会逐渐减弱。我们认为市场转型过程中,子女的人力资本和收入的快速提高有助于供养老人。利用2005年全国1%人口抽样调查数据,本文对60岁以上老年人口的主要生活来源进行了深入分析。研究表明,城市老年居民主要靠离退休金,镇和农村老年人仍有一半靠家庭供养,农村另有40%的老人依靠自我劳动生活。Logistic回归的结果显示农村家庭中子女的劳务迁移提高了老年人的家庭供养比。此外,农村、女性、高龄、低教育老人的家庭供养比高,而城市,男性,低龄,和教育程度较高的供养比低。分城乡老人家庭供养比,农村在不发达的西部最高,城市在发达的东部最高,反映家庭供养U型发展趋势。面对老人比例激增的局面,政府应积极扩大社会养老保障的覆盖面,加强扶持老年弱势群体,减轻家庭养老负担。     

旧题王昌龄《诗格》臆说

《诗格》二卷的分离,在考据之外,有更深层的理论意义。通过《诗格》卷上与《河岳英灵集》的选诗及《诗式》的理论倾向之比较;通过《诗格》卷下与《诗式》的意境理论及晚唐五代诗格的理论传承之比较,可以确认《诗格》二卷分离后各自的理论背景及合视之所呈现的唐代诗格发展的轨迹。     

论科技管理体制、机制变革的内生性要求

按照客观规律性来构造和完善科技管理体制与机制 ,关键在于揭示其变动的内生性要求。本文从科技管理体制、机制的基本模型出发 ,具体分析了经济体制转轨、经济发展阶段转化及新科技革命等重大变化对科技管理体制、机制提出的新要求 ,从而为构造和完善新型科技管理体制、机制提供了基本依据     

市场转型理论与社会整合

市场转型理论并没有直接言说社会整合议题,它的主题是社会与 分层。其主要的观点是,从计划再分配体制向市场体制的转型,将同时 出现产权私有化、精英权力转移和利益群体重组。因而环绕它的争论 集中在三个问题上:谁占有产权?谁控制管理?谁获得较多报酬?对 这些问题的回答直接涉及整合机制的变动问题,可以概括地说是产权 关系的整合、权力支配关系的整合和利益群体的整合(以下简称产权整 合、权力整合和利益整合)。我将着重评述关于产权整合和权力整合的     

人力资源管理在企业管理中的角色定位创新

人力资源管理在企业管理中有着无可替代的重要性。只有明确了人力资源管理在企业管理中的角色,才有利于其工作的开展,使其为更好地实现企业目标而服务。现在的人力资源管理受到了多方面的挑战,必须进行角色的创新,转变战略角色,从传统意义上的行政管理者转变为企业管理者的合作者,为组织保持旺盛的生命力和强劲的竞争力提供人力支持。     

辩证理解中国文化现代化的内涵

文化现代化是现代化中最复杂、最深层次、最艰难的文化转型。历史发展和新的时代赋予了中国文化现代化以新的内涵。从文化与经济政治、时代性与民族性、本土化与全球化、一元与多元、文化事业和文化产业、人的发展与社会发展等六个对立统一中把握中国文化现代化的内涵具有重要的理论意义。     

“Leaving Home Ain't Easy:” The timing and pathways of young immigrants’ home-leaving transitions

Leaving the parental home to live independently has long been a marker of one's transition to adulthood and a sign of immigrant adaptation to the host country. The timing and pathways of home-leaving are important for both the housing trajectories of young adults and the overall housing demand of immigrant receiving areas. However, young adults—immigrants or not— have increasingly been delaying this transition, opting instead to stay in the parental home for an extended period of time. In this paper, we conceptualize home-leaving as a decision made over time—influenced by individual, family, and contextual factors—and use panel data collected in the 2011 and 2017 Canadian General Social Survey (GSS). Through both a Cox proportional hazard model and a competing risk model, we examine the timing of exit from the parental home, the determinants of this exit, and the variable rates of independent household formation across immigrant, non-visible, and visible minority groups. We find, although the relationship is not always linear, generational status, as well as race and ethnicity, play an important role in not only the timing, but also the destination of home leaving, while age at arrival is particularly salient for racialized immigrant groups. Young immigrants of visible minority background are generally less likely to leave their parental home, even though immigrants to Canada are selected for their ability to succeed in Canada.     

Covariate handling approaches in combination with dynamic borrowing for hybrid control studies

Borrowing data from external control has been an appealing strategy for evidence synthesis when conducting randomized controlled trials (RCTs). Often named hybrid control trials, they leverage existing control data from clinical trials or potentially real-world data (RWD), enable trial designs to allocate more patients to the novel intervention arm, and improve the efficiency or lower the cost of the primary RCT. Several methods have been established and developed to borrow external control data, among which the propensity score methods and Bayesian dynamic borrowing framework play essential roles. Noticing the unique strengths of propensity score methods and Bayesian hierarchical models, we utilize both methods in a complementary manner to analyze hybrid control studies. In this article, we review methods including covariate adjustments, propensity score matching and weighting in combination with dynamic borrowing and compare the performance of these methods through comprehensive simulations. Different degrees of covariate imbalance and confounding are examined. Our findings suggested that the conventional covariate adjustment in combination with the Bayesian commensurate prior model provides the highest power with good type I error control under the investigated settings. It has desired performance especially under scenarios of different degrees of confounding. To estimate efficacy signals in the exploratory setting, the covariate adjustment method in combination with the Bayesian commensurate prior is recommended.