370 research outputs found
Searching for the Sunk Cost Fallacy
We seek to isolate in the laboratory factors that encourage and discourage the sunk cost fallacy. Subjects play a computer game in which they decide whether to keep digging for treasure on an island or to sink a cost (which will turn out to be either high or low) to move to another island. The research hypothesis is that subjects will stay longer on islands that were more costly to find. Nine treatment variables are considered, e.g. alternative visual displays, whether the treasure value of an island is shown on arrival or discovered by trial and error, and alternative parameters for sunk costs. The data reveal a surprisingly small and erratic sunk cost effect that is generally insensitive to the proposed psychological drivers.sunk cost fallacy, experimental economics
Searching for the Sunk Cost Fallacy
We seek to isolate in the laboratory factors that encourage and discourage the sunk cost fallacy. Subjects play a computer game in which they decide whether to keep digging for treasure on an island or to sink a cost (which will turn out to be either high or low) to move to another island. The research hypothesis is that subjects will stay longer on islands that were more costly to find. Nine treatment variables are considered, e.g. alternative visual displays, whether the treasure value of an island is shown on arrival or discovered by trial and error, and alternative parameters for sunk costs. The data reveal a surprisingly small and erratic sunk cost effect that is generally insensitive to the proposed psychological drivers.sunk cost fallacy
Reverse Vaccinology approach for antigen candidates prioritization to develop a vaccine against a poultry pathogen
PosterAvibacterium paragallinarum (AvP) is the causative agent of infectious coryza, an acute disease that affects the upper respiratory system of chickens. This Gram-negative pathogen is widely distributed in poultry production systems all over the world, causing significant economic losses. Despite vaccination being the main form of prevention, commercially available vaccines show incomplete protection against strains not included in the formulation.EEA BalcarceFil: Felici, MarĂa Esperanza. Universidad Nacional de CĂłrdoba. Facultad de Ciencias QuĂmicas; Argentina.Fil: Felici, MarĂa Esperanza. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas; Argentina.Fil: Huberman, Yosef Daniel. Instituto Nacional de TecnologĂa Agropecuaria (INTA) EstaciĂłn Experimental Agropecuaria Balcarce; Argentina.Fil: Maletto, Belkys. Universidad Nacional de CĂłrdoba. Facultad de Ciencias QuĂmicas; Argentina.Fil: Maletto, Belkys. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas; Argentina.Fil: Quiroga, Rodrigo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias QuĂmicas; Argentina.Fil: Quiroga, Rodrigo. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas; Argentina
Introduction to fungal physiology
This chapter describes some basic aspects of fungal cell physiology, focusing primarily on nutrition, growth, metabolism in unicellular yeasts and filamentous fungi, and cell death. It considers the most common growth forms, the filamentous fungi and unicellular yeasts. Fungal growth involves transport and assimilation of nutrients, followed by their integration into cellular components, followed by biomass increase and eventual cell division or septation. The physiology of vegetative reproduction and its control in fungi has been most widely studied in two model eukaryotes, the budding yeast, Saccharomyces cerevisiae, and the fission yeast, Schizosaccharomyces pombe. An understanding of the death of fungal cells is important from a fundamental viewpoint because fungi, especially yeasts, represent valuable model systems for the study of cellular aging and apoptosis (programed cell death). Recycling and redeployment of cellular material also helps drive the apical growth of filamentous fungi and the mycelium explores and extends through the environment
Pathogenicity of avibacterium paragallinarum strains from Peru and the selection of candidate strains for an inactivated vaccine
Worldwide, Avibacterium paragallinarum is the aetiological agent of infectious coryza in poultry. Vaccines are the best means of control, helping reduce clinical signs and colonization of this bacterium. Most vaccines are based on international reference strains, or, lately, regional strains, but, generally, without any information regarding their virulence. The characterization of the pathogenicity of 24 Av. paragallinarum strains of the three Page serogroups, including four variant strains of serogroup B, all isolated from infectious coryza outbreaks in Peru, was performed. After experimental inoculation into the infraorbital sinuses, information regarding their capacity to induce infectious coryza typical clinical signs, spreading, and colonization was recorded. Furthermore, after intraperitoneal inoculation, septicaemia and death were registered. Differences among strains in these parameters were observed, even within strains from the same serogroup. Finally, the four most pathogenic strains, one from each serogroup, were chosen to formulate an experimental vaccine that was tested successfully against homologous challenges in reducing clinical signs and colonization in vaccinated birds compared to unvaccinated ones. This is the first time that Av. paragallinarum strains from Peru were studied thoroughly for their virulence in a search for improving vaccine formulation.EEA BalcarceFil: Caballero Garcia, Melanie. Quimtia. Research and Development; PerĂş.Fil: Mendoza Espinoza, Alfredo. Quimtia. Research and Development; PerĂş.Fil: Ascanio, Silvia. Quimtia. Research and Development; PerĂş.Fil: Chero, Paula. Quimtia. Research and Development; PerĂş.Fil: Rojas, Rober. Quimtia. Research and Development; PerĂş.Fil: Huberman, Yosef Daniel. Instituto Nacional de TecnologĂa Agropecuaria (INTA). EstaciĂłn Experimental Agropecuaria Balcarce; Argentina
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BIM Mediates EGFR Tyrosine Kinase Inhibitor-Induced Apoptosis in Lung Cancers with Oncogenic EGFR Mutations
Background: Epidermal growth factor receptor (EGFR) mutations are present in the majority of patients with non-small cell lung cancer (NSCLC) responsive to the EGFR tyrosine kinase inhibitors (TKIs) gefitinib or erlotinib. These EGFR-dependent tumors eventually become TKI resistant, and the common secondary T790M mutation accounts for half the tumors with acquired resistance to gefitinib. However, the key proapoptotic proteins involved in TKI-induced cell death and other secondary mutations involved in resistance remain unclear. The objective of this study was to identify the mechanism of EGFR TKI-induced apoptosis and secondary resistant mutations that affect this process.
Methods and Findings: To study TKI-induced cell death and mechanisms of resistance, we used lung cancer cell lines (with or without EGFR mutations), Ba/F3 cells stably transfected with EGFR mutation constructs, and tumor samples from a gefitinib-resistant patient. Here we show that up-regulation of the BH3-only polypeptide BIM (also known as BCL2-like 11) correlated with gefitinib-induced apoptosis in gefitinib-sensitive EGFR-mutant lung cancer cells. The T790M mutation blocked gefitinib-induced up-regulation of BIM and apoptosis. This blockade was overcome by the irreversible TKI CL-387,785. Knockdown of BIM by small interfering RNA was able to attenuate apoptosis induced by EGFR TKIs. Furthermore, from a gefitinib-resistant patient carrying the
activating L858R mutation, we identified a novel secondary resistant mutation, L747S in cis to the activating mutation, which attenuated the up-regulation of BIM and reduced apoptosis.
Conclusions: Our results provide evidence that BIM is involved in TKI-induced apoptosis in sensitive EGFRmutant cells and that both attenuation of the up-regulation of BIM and resistance to gefitinibinduced apoptosis are seen in models that contain the common EGFR T790M and the novel L747S secondary resistance mutations. These findings also suggest that induction of BIM may have a role in the treatment of TKI-resistant tumors
Resilience of the Internet to random breakdowns
A common property of many large networks, including the Internet, is that the
connectivity of the various nodes follows a scale-free power-law distribution,
P(k)=ck^-a. We study the stability of such networks with respect to crashes,
such as random removal of sites. Our approach, based on percolation theory,
leads to a general condition for the critical fraction of nodes, p_c, that need
to be removed before the network disintegrates. We show that for a<=3 the
transition never takes place, unless the network is finite. In the special case
of the Internet (a=2.5), we find that it is impressively robust, where p_c is
approximately 0.99.Comment: latex, 3 pages, 1 figure (eps), explanations added, Phys. Rev. Lett.,
in pres
Predicting Twitter user socioeconomic attributes with network and language information
Inferring socioeconomic attributes of social media users such as occupation and income is an important problem in computational social science. Automated inference of such characteristics has applications in personalised recommender systems, targeted computational advertising and online political campaigning. While previous work has shown that language features can reliably predict socioeconomic attributes on Twitter, employing information coming from users' social networks has not yet been explored for such complex user characteristics. In this paper, we describe a method for predicting the occupational class and the income of Twitter users given information extracted from their extended networks by learning a low-dimensional vector representation of users, i.e. graph embeddings. We use this representation to train predictive models for occupational class and income. Results on two publicly available datasets show that our method consistently outperforms the state-of-the-art methods in both tasks. We also obtain further significant improvements when we combine graph embeddings with textual features, demonstrating that social network and language information are complementary
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