科技考古研究范式之思考

范式自20世纪60年代创立以来,已普遍使用于多个科学研究领域,并于七八十年代引入至考古学。目前,国内外学界对考古学的研究范式有不少讨论,但对科技考古的研究范式的认知仍属空白。本文在简要介绍科学研究范式和考古学研究范式的基础上,首次提出了科技考古研究的3种范式,即科技范式、考古范式、科技考古融合范式,详细阐述了3种研究范式的理论、方法、实践等。此外,本文还指出：科技范式是推动科技考古研究发展的“发动机”,考古范式是掌控科技考古研究方向的“方向盘”,而科技考古融合范式则是协调科技考古各研究领域的“中控台”,真正让科技与考古融为一体。最后,笔者还对在科技考古研究范式下如何构建研究人员的知识体系提出了一些看法。     

Constructivism,sociology and the new genetics 1

In this paper it is argued that the social sciences, especially sociology, cannot afford to ignore the challenge that is coming from the new genetics. This will involve rethinking some of the epistemological assumptions of modernist social science, which has always assumed the separation of nature and society. The argument made in this article is that a qualified version of constructivism points to a possible opening within the sciences for a reorientation for sociology and in a way that the new genetics can be addressed in a serious way.     

Assortative Mating

Abstract

Theories of mate selection and the effects of assortative mating are reviewed, including differences in the basic theoretical orientations of the social and biological sciences with respect to human evolution and assortative mating. Topics discussed include evolution in parallel and interaction, terminology of nonrandom mate selection, theories of mate choice, social stratification and class endogamy, and suggestions for future research.     

Beyond the genome: Reconstituting the new genetics

The mapping and sequencing of the human genome has been the 'Holy Grail' of the new genetics, and its publication marks a turning point in the development of modern biotechnology. However, the question remains: what has been the impact of this discovery on how biotechnology develops in science, and in society at large? Using concepts developed in the social studies of science and technology, the paper begins by rehearsing the historical development of the Human Genome Project (HGP), and suggests that its translation into genomics has been achieved through a process of 'black-boxing' to ensure stabilization. It continues by exploring the extent to which the move to genomics is part of a paradigm shift in biotechnology resulting from the conceptual and organizational changes that have occurred following the completion of HGP. The discussion then focuses on whether genomics can be seen as part of the development of socially robust knowledge in late modernity. The paper suggests that there is strong evidence that a transformation is indeed taking place. It concludes by sketching a social scientific agenda for investigating the reconstitution of the new genetics in a post-genomic era using a 'situated' analytic approach based on an understanding of techno-scientific change as both emergent and contingent.     

合成生物学技术在材料科学中的应用

材料是人类赖以生存与发展的物质基础,科技和社会的进步都离不开材料技术的发展,未来先进材料的合成和制备必然朝着绿色可持续、低耗高产出、精细可调控、高效多功能的方向发展。以"基因调控·工程设计"为核心的合成生物学技术从分子、细胞层面极大地推动了生命科学的发展,也已经并继续为材料科学的发展注入新的思路和活力。本文将围绕合成生物学技术在材料科学中的应用,以基因回路设计为核心,概念应用为线索,重点介绍合成生物学技术在高分子生物材料和无机纳米材料领域的开发和生产,细胞展示和蛋白定向进化战略对分子材料的筛选和优化,"活体"功能材料、工程菌调节的人工光合系统功能材料体系以及基因回路在材料科学中的应用。     

An Application of Ordinal Matrix Analysis to Archaeological Data

Abstract

A recent trend in American archaeology has been an increasing concern with the formulation of testable hypotheses of culture change or process. A number of formal techniques have been adapted from statistics and the natural sciences to further this aim. This paper reports the results of an experimental application of an ordinal matrix analysis program, (ORDMAT) developed for cross cultural anthropological studies, to archaeological data. Four current hypotheses dealing with changing aboriginal settlement patterns in southern Montana were evaluated using the OROMAT program. The observed advantages and limitations of this technique for the study of prehistoric cultures are discussed.     

生态学的科学概念及其演变与当代生态学学科体系之商榷

生态学既是生物学的分支学科,也是环境科学、地球系统科学的重要组成部分,其研究成果可直接服务于植物、动物、微生物的生物多样性保护、生物资源利用及生物产业管理等应用领域.生态系统概念将经典生态学或者基础生态学研究扩展到了生态系统生态学或者生态系统科学的新阶段,奠定了大尺度及全球生态环境科学研究的理论基础,促进了生物学、地理...     

The intellectual structure and substance of the knowledge utilization field: A longitudinal author co-citation analysis, 1945 to 2004

Background

It has been argued that science and society are in the midst of a far-reaching renegotiation of the social contract between science and society, with society becoming a far more active partner in the creation of knowledge. On the one hand, new forms of knowledge production are emerging, and on the other, both science and society are experiencing a rapid acceleration in new forms of knowledge utilization. Concomitantly since the Second World War, the science underpinning the knowledge utilization field has had exponential growth. Few in-depth examinations of this field exist, and no comprehensive analyses have used bibliometric methods.

Methods

Using bibliometric analysis, specifically first author co-citation analysis, our group undertook a domain analysis of the knowledge utilization field, tracing its historical development between 1945 and 2004. Our purposes were to map the historical development of knowledge utilization as a field, and to identify the changing intellectual structure of its scientific domains. We analyzed more than 5,000 articles using citation data drawn from the Web of Science^®. Search terms were combinations of knowledge, research, evidence, guidelines, ideas, science, innovation, technology, information theory and use, utilization, and uptake.

Results

We provide an overview of the intellectual structure and how it changed over six decades. The field does not become large enough to represent with a co-citation map until the mid-1960s. Our findings demonstrate vigorous growth from the mid-1960s through 2004, as well as the emergence of specialized domains reflecting distinct collectives of intellectual activity and thought. Until the mid-1980s, the major domains were focused on innovation diffusion, technology transfer, and knowledge utilization. Beginning slowly in the mid-1980s and then growing rapidly, a fourth scientific domain, evidence-based medicine, emerged. The field is dominated in all decades by one individual, Everett Rogers, and by one paradigm, innovation diffusion.

Conclusion

We conclude that the received view that social science disciplines are in a state where no accepted set of principles or theories guide research (i.e., that they are pre-paradigmatic) could not be supported for this field. Second, we document the emergence of a new domain within the knowledge utilization field, evidence-based medicine. Third, we conclude that Everett Rogers was the dominant figure in the field and, until the emergence of evidence-based medicine, his representation of the general diffusion model was the dominant paradigm in the field.     

Autopoiesis 40 years Later. A Review and a Reformulation

The concept of autopoiesis was proposed 40 years ago as a definition of a living being, with the aim of providing a unifying concept for biology. The concept has also been extended to the theory of knowledge and to different areas of the social and behavioral sciences. Given some ambiguities of the original definitions of autopoiesis, the concept has been criticized and has been interpreted in diverse and even contradictory ways, which has prevented its integration into the biological sciences where it originated. Here I present a critical review and conceptual analysis of the definition of autopoiesis, and propose a new definition that is more precise, clear, and concise than the original ones. I argue that the difficulty in understanding the term lies in its refined conceptual subtlety and not, as has been claimed by some authors, because it is a vacuous, trivial or very complex concept. I also relate the concept of autopoiesis to the concepts of closed systems, boundaries, homeostasis, self-reproduction, causal circularity, organization and multicellularity. I show that under my proposed definition the concept of a molecular autopoietic system is a good demarcation criterion of a living being, allowing its general integration into the biological sciences and enhancing its interdisciplinary use.     

Optimierung und ökonomisierung im kontext von evolutionstheorie und phylogenetischer rekonstruktion

The meaning of optimality and economy in phylogenetics and evolutionary biology is discussed. It can be shown that the prevailing concepts of optimality and economy are equivocal as they are not based on strict theoretical positions and as they have a variable meaning in different theoretical contexts. The ideas of optimality and economy can be considered to be identical with the expectation of a relatively simple order in a particular field of study. Although there exists no way of inferring one or several methods of solving scientific problems from the presupposed idea of economy and optimality, a lack of motivation for scientific investigations would result if the concepts of economy and optimality in nature were dropped. By reference to several examples, it is shown that the concepts of optimality and economy are only useful against the background of indispensable theories. If there is a shift from one theory to another, a restriction on the use of these concepts is necessary. Optimality and economy in the sense of operations research in engineering or economical sciences depend on the principle of minimum costs. Both theoretical concepts: technical efficiency in relation to the energy required to run a machine and profit maximation in an economical framework must be shown to be realistic assumptions. In the field of biology processes of optimization and economization are normally discussed under two different views:

1. The concept of economy is used in cases of functional adaptation when the organism makes good use of the building material which is available to fulfill one (or more) functions. The theoretical background must be seen in the energy-consuming aspect of the organism.
2. In evolutionary change and phylogeny ‘economization’ and ‘optimization’ are deduced from the evolutionary theory, and evolution is shown to produce a special kind of biological economy in biological systems (Bock & von Wahlert, 1965). The ‘Okonomie-Prinzip’ or ‘Lesrichtungskriterium’ points out the arguments needed to state a phylogenetic theory and to construct a dendrogram (Peters & Gutmann, 1971).

In every phylogenetic theory concerning the adaptational change in the evolving biological system an explanation for the function of all stages is required. Only those statements should be accepted as phylogenetic theories which are characterized by the demonstration of the process of economization in the functional relations of the evolving organism. The process of adaptation can be determined by the improved chance of some mutants to propagate their genetical information. In this process all functional systems in their interrelations — i.a. mutual dependence — and their relation with the environment add their functional efficiency to the information to be delivered to their progeny, because the more economical biological system in a certain environment will have a better chance to produce offspring. This outcome is affirmed by natural selection which works on all levels of the evolving biological systems (Gutmann & Peters 1973). Nevertheless a judgment about adaptation cannot be taken as a scale of measurement in the phylogenetic process. The conditions in the organism itself and in the environment or in the organic system alone can change in so profound a manner that the marginal conditions of the earlier stages of the process of adaptation are not the same as in the derived ones. During phylogenetic change of the evolving organism the selective strains are also continuously changing. As a consequence no state or invariant concept of economy can cover the different stages of the phylogenetic process. The pragmatical meaning of the theoretical consideration is substantiated by the example of the hydrostatic skeleton theory in which the chordates are derived from metameric worms with a fluid skeleton. Herrn Professor Dr. P. Dullemeijer sind die Verfasser für kritische Lektüre und wertovolle Hinweise zu Dank verpflichtet.     

Impaired Recognition of Communicative Interactions from Biological Motion in Schizophrenia

BackgroundPatients with schizophrenia are deficient in multiple aspects of social cognition, including biological motion perception. In the present study we investigated the ability to read social information from point-light stimuli in schizophrenia.Conclusions/SignificanceThese findings are consistent with theories of “overmentalizing” (excessive attribution of intentionality) in schizophrenia, and suggest that processing social information from biological motion does rely on social cognition abilities.     

Abiogenic synthesis of oligopeptides in the open space

Exobiology is a relatively new field of sciences, which was established in connection with the development of the space technology, expanding the range of biological studies beyond the Earth. The major task of exobiology is the study of processes that give rise to the life, biological evolution, and distribution of living creatures in the universe. The term exobiology was introduced by the Dutch researcher Lederberg (1960). During fifty years of progressive development, it turned into a wide interdisciplinary field of sciences, including a number of disciplines, such as astrophysics, organic and analytical chemistry, geology, geochemistry, and other planet sciences not to mention various biological disciplines. Exobiology has become an inherent part of national and international space programs (Carle et al., 1992; Morrison, 2001).     

The role of pattern recognition in creative problem solving: A case study in search of new mathematics for biology

Rosen classified sciences into two categories: formalizable and unformalizable. Whereas formalizable sciences expressed in terms of mathematical theories were highly valued by Rutherford, Hutchins pointed out that unformalizable parts of soft sciences are of genuine interest and importance. Attempts to build mathematical theories for biology in the past century was met with modest and sporadic successes, and only in simple systems. In this article, a qualitative model of humans' high creativity is presented as a starting point to consider whether the gap between soft and hard sciences is bridgeable. Simonton's chance-configuration theory, which mimics the process of evolution, was modified and improved. By treating problem solving as a process of pattern recognition, the known dichotomy of visual thinking vs. verbal thinking can be recast in terms of analog pattern recognition (non-algorithmic process) and digital pattern recognition (algorithmic process), respectively. Additional concepts commonly encountered in computer science, operations research and artificial intelligence were also invoked: heuristic searching, parallel and sequential processing. The refurbished chance-configuration model is now capable of explaining several long-standing puzzles in human cognition: a) why novel discoveries often came without prior warning, b) why some creators had no ideas about the source of inspiration even after the fact, c) why some creators were consistently luckier than others, and, last but not least, d) why it was so difficult to explain what intuition, inspiration, insight, hunch, serendipity, etc. are all about. The predictive power of the present model was tested by means of resolving Zeno's paradox of Achilles and the Tortoise after one deliberately invoked visual thinking. Additional evidence of its predictive power must await future large-scale field studies. The analysis was further generalized to constructions of scientific theories in general. This approach is in line with Campbell's evolutionary epistemology. Instead of treating science as immutable Natural Laws, which already existed and which were just waiting to be discovered, scientific theories are regarded as humans' mental constructs, which must be invented to reconcile with observed natural phenomena. In this way, the pursuit of science is shifted from diligent and systematic (or random) searching for existing Natural Laws to firing up humans' imagination to comprehend Nature's behavioral pattern. The insights gained in understanding human creativity indicated that new mathematics that is capable of handling effectively parallel processing and human subjectivity is sorely needed. The past classification of formalizability vs. non-formalizability was made in reference to contemporary mathematics. Rosen's conclusion did not preclude future inventions of new biology-friendly mathematics.     

Why Nonlinear Biomedical Physics?

The two goals of Nonlinear Biomedical Physics are: firstly to show how nonlinear methods can shed new light on biological phenomena and medical applications and secondly to bridge the technical, mathematical, and cultural divides between the physical disciplines where these methods are being developed and the audience for their use in the biological and medical sciences.     

Towards social life cycle assessment of mobility services: systematic literature review and the way forward

Purpose

The main purpose of this review is to describe the state of the art of social impact assessment with a focus on mobility services. Whereas the use phase plays an important role for the assessment of services in general, the evaluation of the use phase has been underrepresented in previous social life cycle assessment studies. For that reason, particular attention has been paid to indicators, which allow the assessment of social impacts during the use phase of mobility services.

Methods

Continuous efforts to mitigate climate change and to improve quality of life in cities result in new mobility solutions based on collective use. This will have a huge impact on our society transforming the use of vehicles. In order to better understand the implications for cities, society and the automotive industry, it is essential to evaluate the social impact generated along a product life cycle with particular attention to the use phase. To reach the goal, a systematic literature review was carried out with a focus on social indicators that allow assessing use phase impacts of mobility services. The indicators were analysed and allocated to stakeholder groups. Based on the analysis, a core set of indicators is proposed under consideration of data availability.

Results and discussion

Based on the selected search strings, 51 publications were selected for the literature review, including 579 social indicators. The analysis revealed a wide variety and diversity of indicators that are trying to measure the same aspect. The allocation to the respective stakeholder groups showed that most of the indicators (36%) evaluate impacts regarding the stakeholder group local community. The majority of analysed indicators are of quantitative nature (63%). Nevertheless, a clear assessment method was often missing in the respective publications. Therefore, for the core set of indicators, an assessment method is proposed for every indicator.

Conclusions

The results from this study can help practitioners as well as researchers in the field of urban mobility assessment as it systematically analyses social sustainability aspects. The presented data gives an overview of various indicators that are suggested in other publications, and the proposed core set of indicators can be used to evaluate different mobility services in further research.

     

Communication

Abstract

In studying the effect of father's education on child's cognitive ability, we find that some models of analysis yield a negative effect, which does not seem plausible according to our current understanding of the nature of the two variables. Two new models are proposed to take account of the biological relationships between parents and children. The analyses based on these new models show a positive effect of father's education on child's IQ scores. While the results of the proposed models become more plausible, it cannot be claimed as “correct,” because there is no conclusive and permanent “proof in empirical sciences.     

Deconstructing the Animal Image: Toward an Anthropology of Animals

Abstract

Natural science tends to reduce animals to parts, ignoring such characteristics as “inwardness,” ideas, and culture. The social sciences, such as sociology and anthropology, generally confine themselves to human subjects. Even those who study human-animal interactions tend to view animals as passive objects that are acted upon or thought and felt about. Scholars in the humanities assume that sociality and culture do not exist outside the human realm. The author calls for the development of a true anthropology of animals that studies and elucidates, to the extent possible, the animal Other.     

Candida Sepsis: a New Entity?

Despite progress in the field of biological sciences, a definitive diagnosis of Candida sepsis remains an elusive target. Candida, which is frequently found in non-immunocompromised patients in intensive care units, causes severe sepsis, septic shock, and multiple-organ failure in a similar fashion as bacteria. Despite its imprecision, the blood and/or sterile-site culture is still the gold standard for diagnosis, although new biological markers are becoming available for earlier and more accurate diagnosis of invasive candidiasis. Mortality remains high due to a number of factors, and early initiation of appropriate antifungal therapy is a critical factor in positive outcomes. Echinocandins are the drug of choice for severe Candida infections in hospitalized patients. Antifungal stewardship programs may decrease the likelihood of resistance strains, and preventive measures are becoming available to lower the rate of fungal infections in intensive care units.     

A succession of theories: purging redundancy from disturbance theory

The topics of succession and post‐disturbance ecosystem recovery have a long and convoluted history. There is extensive redundancy within this body of theory, which has resulted in confusion, and the links among theories have not been adequately drawn. This review aims to distil the unique ideas from the array of theory related to ecosystem change in response to disturbance. This will help to reduce redundancy, and improve communication and understanding between researchers. We first outline the broad range of concepts that have developed over the past century to describe community change in response to disturbance. The body of work spans overlapping succession concepts presented by Clements in 1916, Egler in 1954, and Connell and Slatyer in 1977. Other theories describing community change include state and transition models, biological legacy theory, and the application of functional traits to predict responses to disturbance. Second, we identify areas of overlap of these theories, in addition to highlighting the conceptual and taxonomic limitations of each. In aligning each of these theories with one another, the limited scope and relative inflexibility of some theories becomes apparent, and redundancy becomes explicit. We identify a set of unique concepts to describe the range of mechanisms driving ecosystem responses to disturbance. We present a schematic model of our proposed synthesis which brings together the range of unique mechanisms that were identified in our review. The model describes five main mechanisms of transition away from a post‐disturbance community: (i) pulse events with rapid state shifts; (ii) stochastic community drift; (iii) facilitation; (iv) competition; and (v) the influence of the initial composition of a post‐disturbance community. In addition, stabilising processes such as biological legacies, inhibition or continuing disturbance may prevent a transition between community types. Integrating these six mechanisms with the functional trait approach is likely to improve the predictive capacity of disturbance theory. Finally, we complement our discussion of theory with a case study which emphasises that many post‐disturbance theories apply simultaneously to the same ecosystem. Using the well‐studied mountain ash (Eucalyptus regnans) forests of south‐eastern Australia, we illustrate phenomena that align with six of the theories described in our model of rationalised disturbance theory. We encourage further work to improve our schematic model, increase coverage of disturbance‐related theory, and to show how the model may link to, or integrate with, other domains of ecological theory.