Viability of Nuerospora macroconidia after cryogenic storage by liquid nitrogen refrigeration

Viability of macroconidia after liquid nitrogen refrigeratio

Growth of conidia of adenine-dependent mutants of Neurospora crassa

Growth of conidia of adenine-dependent mutant

Creepiness Creeps In: Uncanny Valley Feelings Are Acquired in Childhood

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150519/1/cdev12999_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150519/2/cdev12999.pd

Infants Use Statistical Sampling to Understand the Psychological World

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/133581/1/infa12131.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/133581/2/infa12131_am.pd

An exploration of concepts of community through a case study of UK university web production

The paper explores the inter-relation and differences between the concepts of occupational community, community of practice, online community and social network. It uses as a case study illustration the domain of UK university web site production and specifically a listserv for those involved in it. Different latent occupational communities are explored, and the potential for the listserv to help realize these as an active sense of community is considered. The listserv is not (for most participants) a tight knit community of practice, indeed it fails many criteria for an online community. It is perhaps best conceived as a loose knit network of practice, valued for information, implicit support and for the maintenance of weak ties. Through the analysis the case for using strict definitions of the theoretical concepts is made

Does \u2018bigger\u2019mean \u2018better\u2019? Pitfalls and shortcuts associated with big data for social research

\u2018Big data is here to stay.\u2019 This key statement has a double value: is an assumption as well as the reason why a theoretical reflection is needed. Furthermore, Big data is something that is gaining visibility and success in social sciences even, overcoming the division between humanities and computer sciences. In this contribution some considerations on the presence and the certain persistence of Big data as a socio-technical assemblage will be outlined. Therefore, the intriguing opportunities for social research linked to such interaction between practices and technological development will be developed. However, despite a promissory rhetoric, fostered by several scholars since the birth of Big data as a labelled concept, some risks are just around the corner. The claims for the methodological power of bigger and bigger datasets, as well as increasing speed in analysis and data collection, are creating a real hype in social research. Peculiar attention is needed in order to avoid some pitfalls. These risks will be analysed for what concerns the validity of the research results \u2018obtained through Big data. After a pars distruens, this contribution will conclude with a pars construens; assuming the previous critiques, a mixed methods research design approach will be described as a general proposal with the objective of stimulating a debate on the integration of Big data in complex research projecting

Characterization of Material from Wells 299-W10-35 (C7573) and 299-W14-74 (C7024)

The objective of this work was to characterize material accumulating on wells 299-W10-35 (C7573) and 299-W14-74 (C7024) to determine the type of material (i.e., chemical or biological) and, if the material is biological, to identify the microorganisms present

Radionuclide Retention in Concrete Wasteforms

Assessing long-term performance of Category 3 waste cement grouts for radionuclide encasement requires knowledge of the radionuclide-cement interactions and mechanisms of retention (i.e., sorption or precipitation); the mechanism of contaminant release; the significance of contaminant release pathways; how wasteform performance is affected by the full range of environmental conditions within the disposal facility; the process of wasteform aging under conditions that are representative of processes occurring in response to changing environmental conditions within the disposal facility; the effect of wasteform aging on chemical, physical, and radiological properties; and the associated impact on contaminant release. This knowledge will enable accurate prediction of radionuclide fate when the wasteforms come in contact with groundwater. Data collected throughout the course of this work will be used to quantify the efficacy of concrete wasteforms, similar to those used in the disposal of LLW and MLLW, for the immobilization of key radionuclides (i.e., uranium, technetium, and iodine). Data collected will also be used to quantify the physical and chemical properties of the concrete affecting radionuclide retention

Insides and essences: Early understandings of the non-obvious

Insides and essences are both critical concepts for appreciating the importance of non-obvious entities: neither are observable, both contrast with external appearances, and both can be more important than external appearances. The present research examined understandings of insides and essences in 3- to 5- year-old children. In Study 1, children were asked questions requiring them to think about both the insides and the outer appearances of a series of objects. In Study 2, children were tested on their understanding that insides are typically more important than outer surfaces for an object's identity and functioning. In Studies 3, 4, and 5, children were tested on their understanding of innate potential, a concept that reflects understanding of an inborn essence. Contrary to the traditional view of children as externalists (cf. Piaget, 1951), these studies demonstrate that by age 4 children have a firm grasp of the importance of both insides and essences. Even by age 3 children reason clearly about the inside- outside distinction. These results suggest that preschool children attend to non- obvious features and realize their privileged status. They may also indicate a more basic predisposition toward psychological essentialism in young children.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/29429/1/0000510.pd

Rational bidding using reinforcement learning: an application in automated resource allocation

The application of autonomous agents by the provisioning and usage of computational resources is an attractive research field. Various methods and technologies in the area of artificial intelligence, statistics and economics are playing together to achieve i) autonomic resource provisioning and usage of computational resources, to invent ii) competitive bidding strategies for widely used market mechanisms and to iii) incentivize consumers and providers to use such market-based systems. The contributions of the paper are threefold. First, we present a framework for supporting consumers and providers in technical and economic preference elicitation and the generation of bids. Secondly, we introduce a consumer-side reinforcement learning bidding strategy which enables rational behavior by the generation and selection of bids. Thirdly, we evaluate and compare this bidding strategy against a truth-telling bidding strategy for two kinds of market mechanisms – one centralized and one decentralized