Supporting the development of shared understanding in distributed design teams

Distributed teams are an increasingly common feature of engineering design work. One key factor in the success of these teams is the development of short- and longer-term shared understanding. A lack of shared understanding has been recognized as a significant challenge, particularly in the context of globally distributed engineering activities. A major antecedent for shared understanding is question asking and feedback. Building on question-asking theory this work uses a quasi-experimental study to test the impact of questioning support on homogeneous and heterogeneous teams. The results show significant improvement in shared understanding for both team types (27% improvement for heterogeneous and 16% for homogeneous), as well as substantial differences in how this improvement is perceived. This extends theoretical insight on the development of shared understanding and contributes one of few empirical studies directly comparing homogeneous and heterogeneous teams in the engineering design context. This has implications for how distributed teams can be more effectively supported in practice, as well as how shared understanding can be facilitated in engineering design

Magnetic Breakdown in the electron-doped cuprate superconductor Nd2−x_{2-x}Cex_xCuO4_4: the reconstructed Fermi surface survives in the strongly overdoped regime

We report on semiclassical angle-dependent magnetoresistance oscillations (AMRO) and the Shubnikov-de Haas effect in the electron-overdoped cuprate superconductor Nd$_{2-x}$Ce$_x$CuO$_4$. Our data provide convincing evidence for magnetic breakdown in the system. This shows that a reconstructed multiply-connected Fermi surface persists, at least at strong magnetic fields, up to the highest doping level of the superconducting regime. Our results suggest an intimate relation between translational symmetry breaking and the superconducting pairing in the electron-doped cuprate superconductors.Comment: 5 pages, 4 figures, submitted to PR

Co-detección de Patógenos Periodontales en Pacientes Chilenos con Periodontitis Crónica

Indexación: ScieloLas enfermedades periodontales asociadas a la placa dental son un importante problema de salud pública. La etiología de estas patologías es de origen multifactorial e involucra factores del hospedero, medio ambiente y de carácter infeccioso asociados a bacterias embebidas en la placa dental. Las principales bacterias asociadas a la periodontitis crónica son Porphyromonas gingivalis, Treponema denticola y Tannerella forsythia, mientras que Aggregatibacter actinomycetemcomitans se ha asociado principalmente a la periodontitis agresiva. Otro microorganismo clave en el desarrollo de la enfermedad es Fusobacterium nucleatum, el cual tiene la capacidad de co-agregarse con los patógenos periodontales y así facilitar su colonización. Para demostrar la prevalencia de estas bacterias, la co-detección y la asociación entre pacientes chilenos fumadores y no fumadores, se analizaron 67 muestras mediante PCR convencional. Los resultados mostraron que un 90% de las muestras fueron positivas para F. nucleatum, siendo la bacteria más detectada. Al analizar la co-detección entre las distintas bacterias se observa que F nucleatum está presente en más de un 80% de los casos cuando se detecta cualquiera de las cuatro bacterias restantes, mientas que A. actinomycetemcomitans se detecta en no más de un 20% al amplificar cualquiera de las bacterias restantes. Por otra parte, los resultados por género indican que existen diferencias significativas en la detección de T. forsythia, F. nucleatum y A. actinomycetemcomitans. Al considerar el factor de tabaquismo se observó que ninguna de las muestras de pacientes fumadores resultó ser positiva para A. actinomycetemcomitans.Periodontal disease associated with dental plaque is a major public health problem. The etiology of these disorders is multifactorial involved seeing host factors, environmental factors and infectious nature associated with the presence of bacteria belonging to the plaque. The main bacteria associated with chronic periodontitis are Porphyromonas gingivalis, Treponema denticola and Tannerella forsythia, while Aggregatibacter actinomycetemcomitans is mainly associated with aggressive periodontitis. Another key organism in the development of the disease is Fusobacterium nucleatum, which has the ability to co-aggregate with other periodontal pathogen. To demonstrate the prevalence of these bacteria and the association between Chilean smokers and nonsmokers patients, 67 samples were analyzed by conventional PCR. The results showed that 90% of the samples were positive for F nucleatum being the most commonly detected bacteria. By analyzing the co-detection between different bacteria shows that F nucleatum is present in more than 80% of cases when it detects any of the four remaining bacteria, which lie A. actinomycetemcomitans was detected in no more than 20% by amplifying any remaining bacteria. Moreover the results by gender indicate that significant differences exist in the detection of T forsythia, F. nucleatum and A. actinomycetemcomitans. In considering the factor of smoking was observed that none of the samples from smokers was found to be positive for A. actinomycetemcomitans.http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-01072010000300003&nrm=is

Correlation between Fermi surface transformations and superconductivity in the electron-doped high-TcT_c superconductor Nd2−x_{2-x}Cex_xCuO4_4

Two critical points have been revealed in the normal-state phase diagram of the electron-doped cuprate superconductor Nd$_{2-x}$Ce$_x$CuO$_4$ by exploring the Fermi surface properties of high quality single crystals by high-field magnetotransport. First, the quantitative analysis of the Shubnikov-de Haas effect shows that the weak superlattice potential responsible for the Fermi surface reconstruction in the overdoped regime extrapolates to zero at the doping level $x_c = 0.175$ corresponding to the onset of superconductivity. Second, the high-field Hall coefficient exhibits a sharp drop right below optimal doping $x_{\mathrm{opt}} = 0.145$ where the superconducting transition temperature is maximum. This drop is most likely caused by the onset of long-range antiferromagnetic ordering. Thus, the superconducting dome appears to be pinned by two critical points to the normal state phase diagram.Comment: 9 pages; 7 figures; 1 tabl

Drawing Boundaries

In “On Drawing Lines on a Map” (1995), I suggested that the different ways we have of drawing lines on maps open up a new perspective on ontology, resting on a distinction between two sorts of boundaries: fiat and bona fide. “Fiat” means, roughly: human-demarcation-induced. “Bona fide” means, again roughly: a boundary constituted by some real physical discontinuity. I presented a general typology of boundaries based on this opposition and showed how it generates a corresponding typology of the different sorts of objects which boundaries determine or demarcate. In this paper, I describe how the theory of fiat boundaries has evolved since 1995, how it has been applied in areas such as property law and political geography, and how it is being used in contemporary work in formal and applied ontology, especially within the framework of Basic Formal Ontology

Identifying clinically useful biomarkers in neurodegenerative disease through a collaborative approach: the NeuroToolKit

BACKGROUND: Alzheimer’s disease (AD) is a complex and heterogeneous disease, which requires reliable biomarkers for diagnosis and monitoring disease activity. Preanalytical protocol and technical variability associated with biomarker immunoassays makes comparability of biomarker data across multiple cohorts difficult. This study aimed to compare cerebrospinal fluid (CSF) biomarker results across independent cohorts, including participants spanning the AD continuum. METHODS: Measured on the NeuroToolKit (NTK) prototype panel of immunoassays, 12 CSF biomarkers were evaluated from three cohorts (ALFA+, Wisconsin, and Abby/Blaze). A correction factor was applied to biomarkers found to be affected by preanalytical procedures (amyloid-β1–42, amyloid-β1–40, and alpha-synuclein), and results between cohorts for each disease stage were compared. The relationship between CSF biomarker concentration and cognitive scores was evaluated. RESULTS: Biomarker distributions were comparable across cohorts following correction. Correlations of biomarker values were consistent across cohorts, regardless of disease stage. Disease stage differentiation was highest for neurofilament light (NfL), phosphorylated tau, and total tau, regardless of the cohort. Correlation between biomarker concentration and cognitive scores was comparable across cohorts, and strongest for NfL, chitinase-3-like protein-1 (YKL40), and glial fibrillary acidic protein. DISCUSSION: The precision of the NTK enables merging of biomarker datasets, after correction for preanalytical confounders. Assessment of multiple cohorts is crucial to increase power in future studies into AD pathogenesis