习近平新时代中国特色社会主义思想的价值分析

习近平新时代中国特色社会主义思想发展了马克思主义价值论,以中国梦为价值理想,以"两个一百年"为价值目标,以中国特色社会主义为价值选择,以人民为价值主体,以社会主义核心价值观为价值核心,以"四个全面"战略布局为价值建构。它具有鲜明的价值特色,是时代性与民族性、特殊价值与普遍价值、弘扬正价值与摒弃负价值、科学性与合理性、价值观念和价值实体、事实性价值与规范性价值的有机统一。     

以学科建设为龙头,提升学校办学水平

总结“十五”以来福建农林大学学科建设的成绩和经验,分析学科建设存在的问题,结合实际,提出“十一五”期间学科建设的目标和加快学科建设的具体措施。(1)认真做好规划,既要有所突破,又要可持续发展;(2)转变思路,加强建设,提高质量;(3)优化学科建设环境,促进学科建设良性循环;(4)汇聚学术队伍,建立一支高素质的学术梯队;(5)加强学科创新平台建设,加大校内资源共享力度;(6)重视研究生的招收和培养,发挥其科研主力军作用;(7)加强自我评估,以评促建,推动学位授权点整体水平的提高;(8)加大对外合作交流力度,提升学科建设的层次和水平。     

非英语专业研究生学术英语写作能力的培养

明晰学术英语与学术英语写作、学术能力与学术写作能力的概念区别;综述国内外几十年来的学术英语写作能力的培养研究;提出对非英语专业研究生学术英语写作能力的培养模式：以学术阅读带动学术写作能力的提高,以体裁分析理论为基础的互动学习,写作技能训练与研究生专业知识相结合,面授知识与网络自主学习相结合。     

构建武陵山区交通枢纽提升武陵地区经济竞争力

在分析武陵山区交通状况的基础上,结合恩施州现有交通情况,立足构建铁路、公路、航空及水运的综合交通运输体系,提出了把恩施建成武陵山区交通枢纽目标、任务及措施,提升恩施区域经济竞争力。     

Performativity as ongoing journeys: Implications for strategy,entrepreneurship, and innovation

For the most part, strategy, entrepreneurship, and innovation have been researched and practiced from a representational position. In this paper, we make a case for taking a performative turn. Strategists, entrepreneurs, and intrapreneurs are embedded-embodied actors who engage in material-discursive practices in their attempts at constituting phenomena. Overflows, which are inevitable given dispersion of agency, give rise to matters of concern for multiple stakeholder groups. Settlements between stakeholders are temporary, as phenomena will be de-constituted when constitutive arrangements change. Consequently, the projects and initiatives that strategists, entrepreneurs, and intrapreneurs undertake are best seen as ongoing journeys.     

A dynamic business modelling approach to design and experiment new business venture strategies

Business Modelling has evolved as a key activity to reflect new business venture strategy by framing the way a firm will operate and how it will function in achieving its goals (e.g., profitability, growth, innovation, social impact). However, scholars and practitioners have criticized the adoption of a too static perspective in the design and use of conventional Business Model representations. Such a static perspective prevents nascent entrepreneurs experimenting with their Business Models and, as a result, identifying the most effective strategies, especially in terms of business sustainability and profitability. In this paper, we argue that combining conventional Business Model schemas with System Dynamics modelling results in a strategy design tool that may overcome several limitations related to a static view of Business Model representation. Mapping the different key elements underlying value creation processes into a system of causal interdependencies – through the use of simulation – allows strategy analysts and entrepreneurs to experiment and learn how the business reacts to strategic and organizational changes in terms of performance, innovation and value creation. As such, Dynamic Business Models provide useful insights to strategy formulation and business venturing by capturing how critical Business Model elements interact to produce enduring competitive advantages over time.     

New evidence about effects of reproductive variables on child mortality in sub-Saharan Africa

There is still considerable uncertainty about how reproductive factors affect child mortality. This study, based on Demographic and Health Survey data from 28 countries in sub-Saharan Africa, shows that mortality is highest for firstborn children with very young mothers. Other children with young mothers, or of high birth order, also experience high mortality. Net of maternal age and birth order, a short preceding birth interval is associated with above average mortality. These patterns change, however, if time-invariant unobserved mother-level characteristics of importance for both mortality and fertility are controlled for in a multilevel–multiprocess model. Most importantly, there are smaller advantages associated with longer birth intervals and being older at first birth. The implications of alternative reproductive ‘strategies’ are discussed, taking into account that if the mother is older at birth, the child will also be born in a later calendar year, when mortality may be lower.     

Changes in Parenting and Youth Adjustment Across the Military Deployment Cycle

This study examined how changes in at‐home parents' mental health and parenting practices related to changes in their children's adjustment throughout the course of a service members' military deployment. Participants included at‐home parents from 114 National Guard families who were interviewed at four different occasions across the deployment cycle. The results revealed changes across the deployment cycle among the following three indicators: parental warmth, depressive symptoms, and children's externalizing behaviors. Changes in parental warmth were associated with changes in children's adjustment. Overall, these findings indicate that during parental separation, at‐home parents' responses to children have important implications for children's adjustment.     

Class participation as a pedagogical tool in social work education

Class participation is an essential part of the social work pedagogy. However, active student engagement in classes is inconsistent and varies based on factors such as social backgrounds, educational background, and individual characteristics. Instructors often evaluate participation based on frequency of verbal contributions. Evaluation criteria are often unarticulated or difficult to measure, presenting numerous challenges for instructors and students alike. A model of reflective self-assessment of participation by students, paired with timely instructor feedback is put forth in this paper to mitigate these concerns. The steps in this model include initial self-assessment, goal setting, midterm review, and a final review. The process of continuous self-evaluation and problem-solving is discussed as strategies that aid the process of class participation. Three instructor touch points are suggested: at the goal-setting stage, the midterm review, and the final grade. Throughout the paper, connections to social work practice and social work pedagogy are highlighted. This model has yet to be implemented in a social work school’s curriculum. Challenges in the implementation and resolution of those challenges are also presented. This model suggests ways to enhance opportunities for student engagement and integration into graduate programs, in addition to fostering valuable skills for future practice in the field.     

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Summary.  Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox processes and geostatistical and geoadditive models. We consider approximate Bayesian inference in a popular subset of structured additive regression models, latent Gaussian models , where the latent field is Gaussian, controlled by a few hyperparameters and with non-Gaussian response variables. The posterior marginals are not available in closed form owing to the non-Gaussian response variables. For such models, Markov chain Monte Carlo methods can be implemented, but they are not without problems, in terms of both convergence and computational time. In some practical applications, the extent of these problems is such that Markov chain Monte Carlo sampling is simply not an appropriate tool for routine analysis. We show that, by using an integrated nested Laplace approximation and its simplified version, we can directly compute very accurate approximations to the posterior marginals. The main benefit of these approximations is computational: where Markov chain Monte Carlo algorithms need hours or days to run, our approximations provide more precise estimates in seconds or minutes. Another advantage with our approach is its generality, which makes it possible to perform Bayesian analysis in an automatic, streamlined way, and to compute model comparison criteria and various predictive measures so that models can be compared and the model under study can be challenged.