植物功能基因组学手段

综述了近几年发展起来的几种植物功能基因组学手段，对这些方法的优缺点作了比较．并讨论了植物功能基因组学的发展前景。     

河北省高校周边文化圈建设研究

建设河北特色文化大省，实现文化大发展、大繁荣，是时代的课题。高校和地方文化各自独立发展，缺乏竞合的现状是制约河北文化发展的一个难题。高校周边文化圈建设是解决这一难题、建设文化特色大省的有效途径，河北省政府牵头，协调高校，以地方文化为主体，采取以点带面的形式，逐步实现文化圈的建设。     

Promoting sustainable development through civil society: A case study of the EU’s NSA/LA thematic programme in Kyrgyzstan

The article focuses on the contribution of the European Union (EU) in promoting sustainable development through the involvement of civil society in partner countries. More specifically, it analyses the main features and outcomes of the projects implemented by civil society organizations (CSOs) in Kyrgyzstan under the EU thematic programme Non‐State Actors and Local Authorities in Development (NSA/LA). Despite its importance—this is the only EU programme providing direct support to non‐state actors and local authorities engaged in poverty reduction—to date, there has been very little research on the functioning of this instrument on the ground. This article seeks to fill this gap in the literature by examining the EU’s contribution to sustainable development through a case study on Kyrgyzstan. The study is based on primary data: 10 semi‐structured interviews conducted with the EU‐funded organizations implementing the NSA/LA programme. The NSA/LA projects were analysed by considering two major fields of engagement of non‐state actors in the development process: as service providers and as advocates (Banks & Hulme, 2012). Overall, the organizations awarded EU support were not only focused on fulfilling short‐term needs but also sought to introduce new ways of dealing with poverty and inequality, positioning themselves between the “Big‐D” and the “little‐d” approaches to development (Bebbington, Hickey, & Mitlin, 2008). Nonetheless, the EU‐funded projects were too limited and fragmented to be able to sustain long‐term structural change. Therefore, the EU should place new emphasis on creating synergies between new and old structures at the grassroots level and establishing mechanisms and bodies that could merge and co‐ordinate their efforts. In addition, the calls for proposals could highlight the need to share the lessons learnt by “obliging” the beneficiaries to act as multipliers and to pass on their positive experience to neighbouring communities. Finally, the EU could stimulate the funded organizations to experiment with innovative mechanisms of involvement in the policy‐making process, by making this aspect a mandatory requirement of the projects implemented with its support.     

Open Data on a Closed Shop? Assessing the potential of transparency initiatives with a focus on efforts to strengthen capacity development support

Despite strong political commitment, actual gains in improving accountability in development co‐operation have been limited. Main reasons for this include the low level of transparency and high number of actors, as well as the limitations of the self‐reported and input‐oriented OECD reporting system. Efforts through the International Aid Transparency Initiative (IATI) and related transparency initiatives are ill‐equipped to change this given their decision to adhere to the same system. This article uses the specific area of support to capacity development to illustrate this. While further disaggregation of reporting on technical co‐operation could respond to a transparency gap, overcoming the accountability gap requires moving beyond promoting ‘supply‐side’ reform and re‐engaging in efforts to promote collective action.     

Predicting Children's Prosocial and Co‐operative Behavior from Their Temperamental Profiles: A Person‐centered Approach

The goal of this study was to examine how aspects of self‐regulation and negative emotionality predicted children's co‐operative and prosocial behavior concurrently and longitudinally using the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development. Mothers completed measures of children's temperamental proneness to negative emotionality and self‐regulation at 54 months. Teachers and parents completed measures of children's co‐operative and prosocial behavior at 54 months, first grade, and third grade. A latent profile analysis of the temperamental variables revealed four profiles of children: those high in regulation and low in negative emotionality, those moderate in regulation and moderate in negative emotionality, those low in regulation and high in negative emotionality, and finally those who were very low in regulation but high in anger emotionality. Generally, children with profiles that were high or moderate in terms of regulation and low or moderate in terms of negative emotionality were rated as the most prosocial and co‐operative. Children with profiles that were less well regulated and who were high in negative emotionality (particularly anger proneness) were rated as less co‐operative and prosocial by parents and teachers.     

Bootstrap Testing of Hypotheses on Co‐Integration Relations in Vector Autoregressive Models

It is well known that the finite‐sample properties of tests of hypotheses on the co‐integrating vectors in vector autoregressive models can be quite poor, and that current solutions based on Bartlett‐type corrections or bootstrap based on unrestricted parameter estimators are unsatisfactory, in particular in those cases where also asymptotic χ² tests fail most severely. In this paper, we solve this inference problem by showing the novel result that a bootstrap test where the null hypothesis is imposed on the bootstrap sample is asymptotically valid. That is, not only does it have asymptotically correct size, but, in contrast to what is claimed in existing literature, it is consistent under the alternative. Compared to the theory for bootstrap tests on the co‐integration rank (Cavaliere, Rahbek, and Taylor, 2012), establishing the validity of the bootstrap in the framework of hypotheses on the co‐integrating vectors requires new theoretical developments, including the introduction of multivariate Ornstein–Uhlenbeck processes with random (reduced rank) drift parameters. Finally, as documented by Monte Carlo simulations, the bootstrap test outperforms existing methods.     

国外环境风险感知跨学科研究的知识谱系

自20世纪80年代开始,环境风险感知研究成为国际学者关注的重点和热点。国内外大量学者基于不同学科视角对环境风险感知进行研究,但这一研究领域仍存在较大争议。以1982—2019年公开发表的关于环境风险感知的415篇WOS期刊相关论文为样本,运用SATI软件构建知识单元共现矩阵,将矩阵导入 Ucinet 社会网络分析软件生成环境风险感知关键词共现知识图谱,采用SPSS软件对高频关键词相异矩阵进行因子分析、聚类分析和多维尺度分析,呈现环境风险感知的9个研究流派和4个维度的知识谱系,并在此基础上割裂为实存论和建构论。多学科路径下环境风险感知研究在“概念阐释”“内容统一”“理论整合”呈现相互渗透,彼此交融特征,但是由于实存论和建构论的互异性和隔膜,导致环境风险感知研究难以实质融合,由此可为我国的环境风险感知研究提供借鉴和反思。     

我国农村信贷市场重建的合作制基础

随着新农村建设的深入开展,农村金融发展尤其是农村金融市场建设成为人们关注的焦点。我国农村有普遍的存款服务和汇兑服务,但缺乏有效率和规模的信贷供给。如何重建农村信贷市场成为制约农村金融市场建设的关键因素。通过对农户信贷需求的满足问题的探讨,可以发现,在目前城乡二元经济结构下,小农经济与市场化的矛盾成为制约农户借贷供求的根源。突破这一制约的有效途径是发展合作经济和建立"农民所有"的合作金融。     

浅谈建筑幕墙设计中的成本控制

建筑幕墙成本控制的重点在设计阶段 ,设计方案对成本的控制是决定性的。设计对项目成本的控制是战略性、全局性的 ,而施工过程的管理对项目成本的控制是战术性、局部性的。幕墙设计中如何达到控制成本的目的至关重要。把技术与经济融为一体 ,在设计中既保证幕墙安全、实用、美观 ,又做到控制和降低成本 ,是施工企业适应市场的关键     

Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, stored in public repositories. We review applications of a variety of empirical Bayes methods to several well‐known model‐based prediction methods, including penalized regression, linear discriminant analysis, and Bayesian models with sparse or dense priors. We discuss “formal” empirical Bayes methods that maximize the marginal likelihood but also more informal approaches based on other data summaries. We contrast empirical Bayes to cross‐validation and full Bayes and discuss hybrid approaches. To study the relation between the quality of an empirical Bayes estimator and p, the number of variables, we consider a simple empirical Bayes estimator in a linear model setting. We argue that empirical Bayes is particularly useful when the prior contains multiple parameters, which model a priori information on variables termed “co‐data”. In particular, we present two novel examples that allow for co‐data: first, a Bayesian spike‐and‐slab setting that facilitates inclusion of multiple co‐data sources and types and, second, a hybrid empirical Bayes–full Bayes ridge regression approach for estimation of the posterior predictive interval.