28 research outputs found
The role of cyclooxygenase-2 on endurance exercise training in female LDL-receptor knockout ovariectomized mice
The New Economy and New Business Models
This chapter tackles the definition of New Economy, its main elements and its transformation, a theoretical perspective, the economics of digital information; negligible marginal costs, network externalities and barriers and enablers of business model change.
Digital Business Models; origins, concept, guidelines to develop a consensus for the business models and Digital Business Models best practices identified are also outlined.
The chapter draws to a close with the key information regarding the main characteristics for E-Business Environment: generic e-Business Strategies, new Strategies for E-Organizations and new Digital Business Models for E-Organizations.2019-2
Residential proximity to major roads and adverse birth outcomes: a hospital-based study
Calcitonin Gene-Related Peptide Receptor Antagonists: Beyond Migraine Pain—A Possible Analgesic Strategy for Osteoarthritis?
Special section on Industrial information systems: Progresses and perspectives in Pacific Rim
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Induction of pluripotent stem cells from adult somatic cells by protein-based reprogramming without genetic manipulation
The concept of reprogramming of somatic cells has opened a new era in regenerative medicine. Transduction of defined factors has successfully achieved pluripotency. However, during the generation process of induced pluripotent stem (iPS) cells, genetic manipulation of certain factors may cause tumorigenicity, which limits further application. We report that that a single transfer of embryonic stem (ES) cell-derived proteins into primarily cultured adult mouse fibroblasts, rather than repeated transfer or prolonged exposure to materials, can achieve full reprogramming up to the pluripotent state without the forced expression of ectopic transgenes. During the process, gene expression and epigenetic status were converted from somatic to ES-equivalent status. We verified that protein-based reprogramming was neither by the contamination of protein donor ES cell nor by DNA/RNA from donor ES cell. Protein-iPS cells were biologically and functionally very similar to ES cells and differentiated into 3 germ layers in vitro. Furthermore, protein-iPS cells possessed in vivo differentiation (well-differentiated teratoma formation) and development (chimeric mice generation and a tetraploid blastocyst complementation) potentials. Our results provide an alternative and safe strategy for the reprogramming of somatic cells that can be used to facilitate pluripotent stem cell-based cell therapy. (Blood. 2010; 116(3): 386-395)X11142sciescopu
Service-requester-centered service selection and ranking model for digital transportation ecosystems
Transport services are a fundamental utility that drives human society. A Digital Transportation Ecosystem is a sub-system of the Digital Ecosystem, which uses ICT resources to facilitate transport service transactions. This research focuses on the selection and ranking of online transport service information. The previous research in this area has been unable to achieve satisfactory performance or give sufficient freedom to service requesters to rank services based on their preferences. ‘User-centered design’ is a broad term to describe how end-users influence system design. In this research, we propose a Service-Requester-Centered Service Selection and Ranking Model, guided by the philosophy of user-centered design. Three major sub-models are involved in this model: a model for assisting service requesters to search appropriate transport service ontology concepts to denote their service requests, a model for enhancing the accuracy of automatic transport service concept recommendation by observing service requesters’ click behaviours, and a model for enabling service-requester-preference-based service ranking. Implementations and empirical experiments are conducted to evaluate the three sub-models and the drawn conclusions along with directions for future work are outlined
Bayesian-inference-based neural networks for tool wear estimation
10.1007/s00170-005-0124-8International Journal of Advanced Manufacturing Technology309-10797-807IJAT