有机污染物降解的光化学及微生物降解方法探索

随着塑料用途的不断扩大和消费量的日益增长，塑料废弃物也与日俱增，环境污染和社会公害等问题也日趋严重。塑料废弃物具有不易降解性，它不仅污染环境（土壤、水源等），还会阻止其它物质的降解。文章试图从基本机理入手，找到有机物降解的最有效途径，以达到保护环境、节约能源的目的。     

The potential of integrated modelling in conservation biology: A case study of the black‐footed albatross (Phoebastria nigripes)

Conservation biology aims at assessing the status of a population, based on information which is often incomplete. Integrated population modelling based on state‐space models appears to be a powerful and relevant way of combining into a single likelihood several types of information such as capture‐recapture data and population surveys. In this paper, the authors describe the principles of integrated population modelling and they evaluate its performance for conservation biology based on a case study, that of the black‐footed albatross, a northern Pacific albatross species suspected to be impacted by longline fishing     

在中学生物学教学中怎样进行爱国主义教育

本文对中学生物学教学如何进行爱国主义教育相关问题加以论述。     

垂叶榕的生物学习性及栽培管理技术

垂叶榕是城市绿化和园林造景中应用的一种重要树种,本文就垂叶榕的生物学习性及在绿化和盆景制作中的管理技术作一简要概述。     

中学生物教师科学素养现状调查与思考

为了解中学生物教师科学素养的现状,我们采用自编调查问卷的形式对淄博市中学生物教师进行了抽样调查。结果显示中学生物教师的科学素养水平整体较高,但在科学方法等方面存在明显的问题和不足。我们建议通过组织培养与自身努力相结合的方式,加大继续教育改革力度,加强岗位自我培训,深化高师院校生物教育改革,以提高中学生物教师的科学素养。     

Bayesian inference for a discretely observed stochastic kinetic model

The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observed by means of discrete-time sampling systems, which are often limited in their completeness. In this paper we explore how to make Bayesian inference for the kinetic rate constants of regulatory networks, using the stochastic kinetic Lotka-Volterra system as a model. This simple model describes behaviour typical of many biochemical networks which exhibit auto-regulatory behaviour. Various MCMC algorithms are described and their performance evaluated in several data-poor scenarios. An algorithm based on an approximating process is shown to be particularly efficient.     

欧美合成生物学应用的风险治理经验及启示

合成生物学技术的应用与发展为基础生命科学研究、人类健康、环境保护和经济增长做出了重要贡献。随着合成生物学变得更便宜、更容易使用和更容易获得,亟需建立行之有效的风险治理体系以防控其潜在的伦理道德、生物安全和生物安保风险,促进技术健康发展。通过观照欧美国家风险治理模式,建议预防风险与促进创新并重、伦理治理与法律规制“双管齐下”,以期为我国合成生物学监管提供有益经验、减少风险和控制利益冲突,促进我国合成生物学创新,规范合成生物学研究和生产。     

How biology became social,and what it means for social theory

In this paper I first offer a systematic outline of a series of conceptual novelties in the life‐sciences that have favoured, over the last three decades, the emergence of a more social view of biology. I focus in particular on three areas of investigation: (1) technical changes in evolutionary literature that have provoked a rethinking of the possibility of altruism, morality and prosocial behaviours in evolution; (2) changes in neuroscience, from an understanding of the brain as an isolated data processor to the ultrasocial and multiply connected social brain of contemporary neuroscience; and (3) changes in molecular biology, from the view of the gene as an autonomous master of development to the ‘reactive genome’ of the new emerging field of molecular epigenetics. In the second section I reflect on the possible implications for the social sciences of this novel biosocial terrain and argue that the postgenomic language of extended epigenetic inheritance and blurring of the nature/nurture boundaries will be as provocative for neo‐Darwinism as it is for the social sciences as we have known them. Signs of a new biosocial language are emerging in several social‐science disciplines and this may represent an exciting theoretical novelty for twenty‐first social theory.     

Thinking about biology and culture: can the natural and human sciences be integrated?

Genomic analyses have shown that only 1.2 per cent of the genome is devoted to protein coding sequences (the most commonly invoked definition of genes), and that much of the remaining sequences are employed in regulation – that is, in responding to signals, first, from the immediate environment of the DNA, but ultimately from the distal environment – from the cytoplasm, from the environment outside the cell, and finally, from the environment beyond the organism. Such signals are not restricted to the simple physical and chemical stimuli that impinge directly on the DNA, on the surface of the cell, or even on the body as a whole: organisms with central nervous systems have receptors for forms of perception that are not only more complex but far longer range. Humans have especially sophisticated perceptual capacities, enabling them to respond to a wide range of complex visual, auditory, linguistic and behavioural/emotional signals in their extended environment. Research has recently begun to show that responses to such signals can extend all the way down to the level of gene expression. The question is this: to what extent are we witnessing (at last) a rapprochement between the natural science of biology and the human sciences of sociology and anthropology, and to what extent do the new promises of synthesis merely reflect an expansion of older reductionist aims, threatening once again to marginalize rather than incorporate the insights of cultural analysis? As in my earlier discussion of the nature/nurture debate (2010), my focus will be restricted to the Anglo-American context.     

迈尔的生物学自主性思想述评

迈尔讨论了生物学自主性的确切内涵,提出生物学是独立于物理学的学科.生物学自主性的渊源是机械论与活力论之间的冲突和争论.通过批评物理主义的本质论、还原论和决定论等错误,迈尔确立了生物学自主论,主张要扩大科学统-的基础.迈尔思想的精神实质是生物学整体论.