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"Amazed at the stubborn nature of the sexual division of labour in modern society, five Norwegian researchers set out to explore the sources of this pervasive resistance to change. Moving from the neutral concepts of work and money, the lofty notions of love and family and the triviality of domestic organization, social science is made to yield some surprising insights into hidden, secret and perhaps even sacred structures of everyday life. A provocative claim in these p. is that the practical arrangement in the family is informed by the erotic properties of work and semi-religious notions of poverty and dirt - and is sustained by both sexes. This anthology reveals some perplexing aspects of contemporary self-understanding and rediscovers sexual meaning as a pillar of modern culture. The book is an invitation to reconsider the conditions for gender equality and to explore further the cultural tangle behind this persistent tolerance for injustice within European thinking."--Provided by publisher.

Sex role --- Sexual division of labor --- Work and family

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What do people do all day? What did women and men do to make a living in early modern Europe, and what did their work mean? As this book shows, the meanings depended both on the worker and on the context. With an innovative analytic method that is yoked to a specially-built database of source materials, this book revises many received opinions about the history of gender and work in Europe. The applied verb-oriented method finds the 'work verbs' that appear incidentally in a wide variety of early modern sources and then analyzes the context in which they appear. By tying information technologies and computer-assisted analysis to the analytic powers - both quantitative and qualitative - of professional historians, the method gets much closer to a participatory observation of the micro-patterns of early modern life than was once believed possible. It directly addresses a number of broad problems often debated by historians of gender and early modern Europe. First, it discusses the problem of assessing more accurately the incidence, character and division of work. Second, it analyzes the configurations of work and human difference. Third, it deals with the extent to which work practices created notions of difference - gender difference but also other forms of difference - and, conversely, to what extent work practices contributed to notions of sameness and gender convergence. Finally, it studies the impact of processes of change. Drawing on sources from Sweden, the authors show the importance of multiple employment, the openness of early modern households, the significance of marriage and marital status, the gendered nature of specific tasks, and the ways in which state formation and commercialization were entangled in people's everyday lives.

Labor --- Sexual division of labor --- Women --- Travail --- Femmes --- History. --- Employment --- Histoire --- Europe --- History --- Social conditions. --- Conditions sociales --- Human females --- Wimmin --- Woman --- Womon --- Womyn --- Females --- Human beings --- Femininity --- Division of labor by sex --- Division of labor --- Sex role --- Sex discrimination in employment --- Labor and laboring classes --- Manpower --- Work --- Working class --- Division sexuelle du travail --- Employment&delete& --- History of Europe --- anno 1500-1799

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With the emergence of Systems Biology, there is a greater realization that the whole behavior of a living system may not be simply described as the sum of its elements. To represent a living system using mathematical principles, practical quantities with units are required. Quantities are not only the bridge between mathematical description and biological observations; they often stand as essential elements similar to genome information in genetics. This important realization has greatly rejuvenated research in the area of Quantitative Biology. Because of the increased need for precise quantification, a new era of technological development has opened. For example, spatio-temporal high-resolution imaging enables us to track single molecule behavior in vivo. Clever artificial control of experimental conditions and molecular structures has expanded the variety of quantities that can be directly measured. In addition, improved computational power and novel algorithms for analyzing theoretical models have made it possible to investigate complex biological phenomena. This research topic is organized on two aspects of technological advances which are the backbone of Quantitative Biology: (i) visualization of biomolecules, their dynamics and function, and (ii) generic technologies of model optimization and numeric integration. We have also included articles highlighting the need for new quantitative approaches to solve some of the long-standing cell biology questions. In the first section on visualizing biomolecules, four cutting-edge techniques are presented. Ichimura et al. provide a review of quantum dots including their basic characteristics and their applications (for example, single particle tracking). Horisawa discusses a quick and stable labeling technique using click chemistry with distinct advantages compared to fluorescent protein tags. The relatively small physical size, stability of covalent bond and simple metabolic labeling procedures in living cells provides this type of technology a potential to allow long-term imaging with least interference to protein function. Obien et al. review strategies to control microelectrodes for detecting neuronal activity and discuss techniques for higher resolution and quality of recordings using monolithic integration with on-chip circuitry. Finally, the original research article by Amariei et al. describes the oscillatory behavior of metabolites in bacteria. They describe a new method to visualize the periodic dynamics of metabolites in large scale cultures populations. These four articles contribute to the development of quantitative methods visualizing diverse targets: proteins, electrical signals and metabolites. In the second section of the topic, we have included articles on the development of computational tools to fully harness the potential of quantitative measurements through either calculation based on specific model or validation of the model itself. Kimura et al. introduce optimization procedures to search for parameters in a quantitative model that can reproduce experimental data. They present four examples: transcriptional regulation, bacterial chemotaxis, morphogenesis of tissues and organs, and cell cycle regulation. The original research article by Sumiyoshi et al. presents a general methodology to accelerate stochastic simulation efforts. They introduce a method to achieve 130 times faster computation of stochastic models by applying GPGPU. The strength of such accelerated numerical calculation are sometimes underestimated in biology; faster simulation enables multiple runs and in turn improved accuracy of numerical calculation which may change the final conclusion of modeling study. This also highlights the need to carefully assess simulation results and estimations using computational tools.

fluorescence chemistry --- numerical integration --- molecular crowding --- quantum dot --- cell division --- data visualization --- imaging --- model optimization --- GPGPU

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With the emergence of Systems Biology, there is a greater realization that the whole behavior of a living system may not be simply described as the sum of its elements. To represent a living system using mathematical principles, practical quantities with units are required. Quantities are not only the bridge between mathematical description and biological observations; they often stand as essential elements similar to genome information in genetics. This important realization has greatly rejuvenated research in the area of Quantitative Biology. Because of the increased need for precise quantification, a new era of technological development has opened. For example, spatio-temporal high-resolution imaging enables us to track single molecule behavior in vivo. Clever artificial control of experimental conditions and molecular structures has expanded the variety of quantities that can be directly measured. In addition, improved computational power and novel algorithms for analyzing theoretical models have made it possible to investigate complex biological phenomena. This research topic is organized on two aspects of technological advances which are the backbone of Quantitative Biology: (i) visualization of biomolecules, their dynamics and function, and (ii) generic technologies of model optimization and numeric integration. We have also included articles highlighting the need for new quantitative approaches to solve some of the long-standing cell biology questions. In the first section on visualizing biomolecules, four cutting-edge techniques are presented. Ichimura et al. provide a review of quantum dots including their basic characteristics and their applications (for example, single particle tracking). Horisawa discusses a quick and stable labeling technique using click chemistry with distinct advantages compared to fluorescent protein tags. The relatively small physical size, stability of covalent bond and simple metabolic labeling procedures in living cells provides this type of technology a potential to allow long-term imaging with least interference to protein function. Obien et al. review strategies to control microelectrodes for detecting neuronal activity and discuss techniques for higher resolution and quality of recordings using monolithic integration with on-chip circuitry. Finally, the original research article by Amariei et al. describes the oscillatory behavior of metabolites in bacteria. They describe a new method to visualize the periodic dynamics of metabolites in large scale cultures populations. These four articles contribute to the development of quantitative methods visualizing diverse targets: proteins, electrical signals and metabolites. In the second section of the topic, we have included articles on the development of computational tools to fully harness the potential of quantitative measurements through either calculation based on specific model or validation of the model itself. Kimura et al. introduce optimization procedures to search for parameters in a quantitative model that can reproduce experimental data. They present four examples: transcriptional regulation, bacterial chemotaxis, morphogenesis of tissues and organs, and cell cycle regulation. The original research article by Sumiyoshi et al. presents a general methodology to accelerate stochastic simulation efforts. They introduce a method to achieve 130 times faster computation of stochastic models by applying GPGPU. The strength of such accelerated numerical calculation are sometimes underestimated in biology; faster simulation enables multiple runs and in turn improved accuracy of numerical calculation which may change the final conclusion of modeling study. This also highlights the need to carefully assess simulation results and estimations using computational tools.

fluorescence chemistry --- numerical integration --- molecular crowding --- quantum dot --- cell division --- data visualization --- imaging --- model optimization --- GPGPU

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This chapter focuses on women, work, and family, with a particular focus on differences by educational attainment. First, we review long-term trends regarding family structure, participation in the labor market, and time spent in household production, including time with children. In looking at family, we focus on mothers with children. Next we examine key challenges faced by mothers as they seek to combine motherhood and paid work: workforce interruptions associated with childbearing, the impact of home and family responsibilities, and constraints posed by workplace culture. We also consider the role that gendered norms play in shaping outcomes for mothers. We conclude by discussing policies that have the potential to increase gender equality in the workplace and mitigate the considerable conflicts faced by many women as they seek to balance work and family.

Mothers --- Sexual division of labor. --- Work and family. --- Families --- Employment. --- Economic aspects.