Identity Radicalization, Fragmentation and Re-assimilation: An Analysis of the GLBTQ Movement

An examination of social movements shows that they change in structure over time, not remaining one stable and static identity politic. This is obvious within the structure of the gay, lesbian, bisexual, and transgender movement. Each change has come with dissent from both within and without the homosexual community, and yet the end result is the inclusion of said groups. Current social movement theory’s explanations of this change have centered on concepts of identity politics. We seek to answer the question of how social movements in general, and the GLBTQ movement in particular, structure and restructure themselves throughout time. To do so, we move John Kitsuse’s (1980) sociological theory of tertiary deviance from the level of the individual to the collective. Using historical analysis, we apply this theory to the GLBTQ timeline and conclude that among other things, each restructuring is vital to the sustainability of the movement. We further conclude that queer theory is the natural progression of the movement

Effective judgmental forecasting in the context of fashion products

We study the conditions that influence judgmental forecasting effectiveness when predicting demand in the context of fashion products. Human judgment is of practical importance in this setting. Our goal is to investigate what type of decision support, in particular historical and/or contextual predictors, should be provided to human forecasters to improve their ability to detect and exploit linear and nonlinear cue-criterion relationships in the task environment. Using a field experiment on new product forecasts in the music industry, our analysis reveals that when forecasters are concerned with predictive accuracy and only managerial judgments are employed, providing both types of decision support data is beneficial. However, if judgmental forecasts are combined with a statistical forecast, restricting the decision support provided to human judges to contextual anchors is beneficial. We identify two novel interactions demonstrating that the exploitation of nonlinearities is easiest for human judgment if contextual data are present but historical data are absent. Thus, if the role of human judgment is to detect these nonlinearities (and the linearities are taken care of by some statistical model with which judgments are combined), then a restriction of the decision support provided would make sense. Implications for the theory and practice of building decision support models are discussed

Terahertz frequency standard based on three-photon coherent population trapping

A scheme for a THz frequency standard based on three-photon coherent population trapping in stored ions is proposed. Assuming the propagation directions of the three lasers obey the phase matching condition, we show that stability of few 10$^{-14}$ at one second can be reached with a precision limited by power broadening to $10^{-11}$ in the less favorable case. The referenced THz signal can be propagated over long distances, the useful information being carried by the relative frequency of the three optical photons.Comment: article soumis a PRL le 21 mars 2007, accepte le 10 mai, version 2 (24/05/2007

A utilização da poesia na formação de professores de química

Anais do II Seminário Seminário Estadual PIBID do Paraná: tecendo saberes / organizado por Dulcyene Maria Ribeiro e Catarina Costa Fernandes — Foz do Iguaçu: Unioeste; Unila, 2014O trabalho aborda a relação Ciência e Poesia na Formação de Professores de Química no contexto do PIBID. O objetivo é investigar as concepções dos licenciandos sobre o uso da Poesia na sala de aula assim como as contribuições para a formação docente. Aplicou-se um questionário aos licenciandos, bolsistas do subprojeto do PIBID - Química um (1) da UFPR. Os dados revelaram que os mesmos acreditam na utilização da poesia como recurso didático, mas, em contrapartida, afirmam que haverão barreiras a serem vencidas, tanto pelos docentes, quanto pelos alunos tais como a preparação do professor e a motivação por parte dos educando

Interactions of Neuroimmune Signaling and Glutamate Plasticity in Addiction

Chronic use of drugs of abuse affects neuroimmune signaling; however, there are still many open questions regarding the interactions between neuroimmune mechanisms and substance use disorders (SUDs). Further, chronic use of drugs of abuse can induce glutamatergic changes in the brain, but the relationship between the glutamate system and neuroimmune signaling in addiction is not well understood. Therefore, the purpose of this review is to bring into focus the role of neuroimmune signaling and its interactions with the glutamate system following chronic drug use, and how this may guide pharmacotherapeutic treatment strategies for SUDs. In this review, we first describe neuroimmune mechanisms that may be linked to aberrant glutamate signaling in addiction. We focus specifically on the nuclear factor-kappa B (NF-κB) pathway, a potentially important neuroimmune mechanism that may be a key player in driving drug-seeking behavior. We highlight the importance of astroglial-microglial crosstalk, and how this interacts with known glutamatergic dysregulations in addiction. Then, we describe the importance of studying non-neuronal cells with unprecedented precision because understanding structure-function relationships in these cells is critical in understanding their role in addiction neurobiology. Here we propose a working model of neuroimmune-glutamate interactions that underlie drug use motivation, which we argue may aid strategies for small molecule drug development to treat substance use disorders. Together, the synthesis of this review shows that interactions between glutamate and neuroimmune signaling may play an important and understudied role in addiction processes and may be critical in developing more efficacious pharmacotherapies to treat SUDs

Enhanced gain and output power of a sealed‐off rf‐excited CO2 waveguide laser with gold‐plated electrodes

The small‐signal gain and the laser output power have been measured in a cw sealed‐off rf‐excited CO2waveguide laser for two different electrodematerials, gold‐plated copper and aluminum, at several excitation frequencies, gas pressures and mixture compositions. In the case of the gold‐plated electrodes an enhancement of the gain up to a factor of 2 and the output power up to a factor of 1.4 with time at a frequency of 190 MHz and 60 Torr of 1:1:5+5% (CO2:N2:He+Xe) mixture is observed. This is believed to be the result of the goldcatalytic activities which are favored by increased electrode temperatures and helium rich gas compositions

Niveles de interferón tipo I en pacientes con lupus eritematoso sistémico

Introducción: el interferón (IFN) tipo I es una citoquina que juega un rol fundamental en la patogenia del Lupus Eritematoso Sistémico (LES). Diferentes niveles de esta citoquina podrían explicar la heterogeneidad de esta patología y ser útil para evaluar la actividad de la misma. Objetivos: determinar los niveles de IFN tipo I sérico en pacientes con LES y evaluar su utilidad como biomarcador de actividad. Material y Métodos: 16 pacientes con LES (ACR 1997) y 16 controles. Métodos: Actividad de la enfermedad (SLEDAI-2K), daño orgánico (SLICC), IFN tipo I (HEK-Blue-IFNα/β), anticuerpos anti-DNAdc (Inmunofluorescencia Indirecta), anticuerpos anti-ENA (ELISA), C3-C4 (Inmunoturbidimetría). Estadística: InfoStat/Instat/MedCalc. Valores de p<0,05 fueron considerados estadísticamente significativos. Resultados: se observó un aumento de la concentración de IFN en el grupo LES con respecto al control (p<0,05). Los pacientes con valores de IFN superiores al punto de corte, se asociaron con la presencia de anticuerpos anti-DNAdc (OR:13,33;p<0,05). Pacientes con hipocomplementemia y aquellos con puntaje de SLEDAI-2K mayor a 8 presentaron mayores niveles de IFN comparados con pacientes con complemento normal y menor puntaje de índice, respectivamente (p<0,05). Conclusiones: estos resultados sugieren la importancia que podría tener la determinación de IFN tipo I para el monitoreo de la actividad del LES

Generating Sustainable Value from Open Data in a Sharing Society

Part 1: Creating ValueInternational audienceOur societies are in the midst of a paradigm shift that transforms hierarchal markets into an open and networked economy based on digital technology and information. In that context, open data is widely presumed to have a positive effect on social, environmental and economic value; however the evidence to that effect has remained scarce. Subsequently, we address the question how the use of open data can stimulate the generation of sustainable value. We argue that open data sharing and reuse can empower new ways of generating value in the sharing society. Moreover, we propose a model that describes how different mechanisms that take part within an open system generate sustainable value. These mechanisms are enabled by a number of contextual factors that provide individuals with the motivation, opportunity and ability to generate sustainable value

Cocaine Self-Administration and Extinction Leads to Reduced Glial Fibrillary Acidic Protein Expression and Morphometric Features of Astrocytes in the Nucleus Accumbens Core

As a more detailed picture of nervous system function emerges, diversity of astrocyte function becomes more widely appreciated. While it has been shown that cocaine experience impairs astroglial glutamate uptake and release in the nucleus accumbens (NAc), few studies have explored effects of self-administration on the structure and physiology of astrocytes. We investigated the effects of extinction from daily cocaine self-administration on astrocyte characteristics including GFAP expression, surface area, volume, and colocalization with a synaptic marker

Who Shares? Who Doesn't? Factors Associated with Openly Archiving Raw Research Data

Many initiatives encourage investigators to share their raw datasets in hopes of increasing research efficiency and quality. Despite these investments of time and money, we do not have a firm grasp of who openly shares raw research data, who doesn't, and which initiatives are correlated with high rates of data sharing. In this analysis I use bibliometric methods to identify patterns in the frequency with which investigators openly archive their raw gene expression microarray datasets after study publication