Measuring Space-Time Geometry over the Ages

Theorists are often told to express things in the "observational plane". One can do this for space-time geometry, considering "visual" observations of matter in our universe by a single observer over time, with no assumptions about isometries, initial conditions, nor any particular relation between matter and geometry, such as Einstein's equations. Using observables as coordinates naturally leads to a parametrization of space-time geometry in terms of other observables, which in turn prescribes an observational program to measure the geometry. Under the assumption of vorticity-free matter flow we describe this observational program, which includes measurements of gravitational lensing, proper motion, and redshift drift. Only 15% of the curvature information can be extracted without long time baseline observations, and this increases to 35% with observations that will take decades. The rest would likely require centuries of observations. The formalism developed is exact, non-perturbative, and more general than the usual cosmological analysis.Comment: Originally written for the Gravity Research Foundation 2012 Awards for Essays on Gravitation and received Honorable Mentio

Obedience as “Engaged Followership”:A Review and Research Agenda

Milgram’s Obedience to Authority (OtA) studies have long been understood as demonstrating that people are prone to blindly follow the orders of authority. More recently, we have proposed an engaged followership model of obedience, which suggests that a person’s willingness to go along with the requests of an authority figure is predicated on their identification with that person and/or the cause they represent. In this paper, we present a review of our rationale for this perspective and take stock of the current evidence we have to support it. We also highlight gaps in this evidence, and set out an agenda for future research

High definition systems in Japan

The successful implementation of a strategy to produce high-definition systems within the Japanese economy will favorably affect the fundamental competitiveness of Japan relative to the rest of the world. The development of an infrastructure necessary to support high-definition products and systems in that country involves major commitments of engineering resources, plants and equipment, educational programs and funding. The results of these efforts appear to affect virtually every aspect of the Japanese industrial complex. The results of assessments of the current progress of Japan toward the development of high-definition products and systems are presented. The assessments are based on the findings of a panel of U.S. experts made up of individuals from U.S. academia and industry, and derived from a study of the Japanese literature combined with visits to the primary relevant industrial laboratories and development agencies in Japan. Specific coverage includes an evaluation of progress in R&D for high-definition television (HDTV) displays that are evolving in Japan; high-definition standards and equipment development; Japanese intentions for the use of HDTV; economic evaluation of Japan's public policy initiatives in support of high-definition systems; management analysis of Japan's strategy of leverage with respect to high-definition products and systems

Reactome - a knowledgebase of human biological pathways

Pathway curation is a powerful tool for systematically associating gene products with functions. Reactome (www.reactome.org) is a manually curated human pathway knowledgebase describing a wide range of biological processes in a computationally accessible manner. The core unit of the Reactome data model is the Reaction, whose instances form a network of biological interactions through entities that are consumed, produced, or act as catalysts. Entities are distinguished by their molecular identities and cellular locations. Set objects allow grouping of related entities. Curation is based on communication between expert authors and staff curators, facilitated by freely available data entry tools. Manually curated data are subjected to quality control and peer review by a second expert. Reactome data are released quarterly. At release time, electronic orthology inference performed on human data produces reaction predictions in 22 species ranging from mouse to bacteria. Cross-references to a large number of publicly available databases are attached, providing multiple entry points into the database. The Reactome Mart allows query submission and data retrieval from Reactome and across other databases. The SkyPainter tool provides visualization and statistical analysis of user supplied data, e.g. from microarray experiments. Reactome data are freely available in a number of data formats (e.g. BioPax, SBML)

Engaged followership and toxic science : exploring the effect of prototypicality on willingness to follow harmful experimental instructions

Funding: This research was supported by Economic and Social Research Council grant (ES/L003104/1), a Fellowship from the Australian Research Council (FL110100199), from funding received from the School of Management at the University of St Andrews.Drawing on the ‘engaged followership’ reinterpretation of Milgram’s work on obedience, four studies (three of which were pre-registered) examine the extent to which people’s willingness to follow an experimenter’s instructions is dependent on the perceived prototypicality of the science they are supposedly advancing. In Studies 1, 2 and 3, participants took part in a study that was described as advancing either ‘hard’ (prototypical) science (i.e., neuroscience) or ‘soft’ (non-prototypical) science (i.e., social science) before completing an online analogue of Milgram’s ‘Obedience to Authority’ paradigm. In Studies 1 and 2, participants in the neuroscience condition completed more trials than those in the social science condition. This effect was not replicated in Study 3, possibly because the timing of data collection (late 2020) coincided with an emphasis on social science’s importance in controlling COVID-19. Results of a final cross-sectional study (Study 4) indicated that participants who perceived the study as to be more prototypical of science found it more worthwhile, reported making a wider contribution by taking part, reported less dislike for the task, more happiness at having taken part, and more trust in the researchers, all of which indirectly predicted greater followership. Implications for the theoretical understanding of obedience to the toxic instructions of an authority are discussed.Publisher PDFPeer reviewe

Camera for QUasars in EArly uNiverse (CQUEAN)

We describe the overall characteristics and the performance of an optical CCD camera system, Camera for QUasars in EArly uNiverse (CQUEAN), which is being used at the 2.1 m Otto Struve Telescope of the McDonald Observatory since 2010 August. CQUEAN was developed for follow-up imaging observations of red sources such as high redshift quasar candidates (z >= 5), Gamma Ray Bursts, brown dwarfs, and young stellar objects. For efficient observations of the red objects, CQUEAN has a science camera with a deep depletion CCD chip which boasts a higher quantum efficiency at 0.7 - 1.1 um than conventional CCD chips. The camera was developed in a short time scale (~ one year), and has been working reliably. By employing an auto-guiding system and a focal reducer to enhance the field of view on the classical Cassegrain focus, we achieve a stable guiding in 20 minute exposures, an imaging quality with FWHM >= 0.6" over the whole field (4.8' * 4.8'), and a limiting magnitude of z = 23.4 AB mag at 5-sigma with one hour total integration time.Comment: Accepted for publication in PASP. 26 pages including 5 tables and 24 figure

Engaged followership and toxic science:Exploring the effect of prototypicality on willingness to follow harmful experimental instructions

Drawing on the ‘engaged followership’ reinterpretation of Milgram's work on obedience, four studies (three pre-registered) examine the extent to which people's willingness to follow an experimenter's instructions is dependent on the perceived prototypicality of the science they are supposedly advancing. In Studies 1, 2 and 3, participants took part in a study that was described as advancing either ‘hard’ (prototypical) science (i.e., neuroscience) or ‘soft’ (non-prototypical) science (i.e., social science) before completing an online analogue of Milgram's ‘Obedience to Authority’ paradigm. In Studies 1 and 2, participants in the neuroscience condition completed more trials than those in the social science condition. This effect was not replicated in Study 3, possibly because the timing of data collection (late 2020) coincided with an emphasis on social science's importance in controlling COVID-19. Results of a final cross-sectional study (Study 4) indicated that participants who perceived the study to be more prototypical of science found it more worthwhile, reported making a wider contribution by taking part, reported less dislike for the task, more happiness at having taken part, and more trust in the researchers, all of which indirectly predicted greater followership. Implications for the theoretical understanding of obedience to toxic instructions are discussed

Questioning authority: New perspectives on Milgram’s ‘obedience’ research and its implications for intergroup relations

Traditionally, Milgram's 'obedience' studies have been used to propose that 'ordinary people' are capable of inflicting great harm on outgroup members because they are predisposed to follow orders. According to this account, people focus so much on being good followers that they become unaware of the consequences of their actions. Atrocity is thus seen to derive from inattention. However recent work in psychology, together with historical reassessments of Nazi perpetrators, questions this analysis. In particular, forensic re-examination of Milgram's own findings, allied to new psychological and historical research, supports an “engaged follower” analysis in which the behaviour of perpetrators is understood to derive from identification with, and commitment to, an ingroup cause that is believed to be noble and worthwhile

ProServer: a simple, extensible Perl DAS server

Summary: The increasing size and complexity of biological databases has led to a growing trend to federate rather than duplicate them. In order to share data between federated databases, protocols for the exchange mechanism must be developed. One such data exchange protocol that is widely used is the Distributed Annotation System (DAS). For example, DAS has enabled small experimental groups to integrate their data into the Ensembl genome browser. We have developed ProServer, a simple, lightweight, Perl-based DAS server that does not depend on a separate HTTP server. The ProServer package is easily extensible, allowing data to be served from almost any underlying data model. Recent additions to the DAS protocol have enabled both structure and alignment (sequence and structural) data to be exchanged. ProServer allows both of these data types to be served

Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays

Background Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much debate on the best ways to process data, to design experiments and analyse the output. Furthermore, many of the more sophisticated mathematical approaches to data analysis in the literature remain inaccessible to much of the biological research community. In this study we examine ways of extracting and analysing a large data set obtained using the Agilent long oligonucleotide transcriptomics platform, applied to a set of human macrophage and dendritic cell samples. Results We describe and validate a series of data extraction, transformation and normalisation steps which are implemented via a new R function. Analysis of replicate normalised reference data demonstrate that intrarray variability is small (only around 2% of the mean log signal), while interarray variability from replicate array measurements has a standard deviation (SD) of around 0.5 log2 units ( 6% of mean). The common practise of working with ratios of Cy5/Cy3 signal offers little further improvement in terms of reducing error. Comparison to expression data obtained using Arabidopsis samples demonstrates that the large number of genes in each sample showing a low level of transcription reflect the real complexity of the cellular transcriptome. Multidimensional scaling is used to show that the processed data identifies an underlying structure which reflect some of the key biological variables which define the data set. This structure is robust, allowing reliable comparison of samples collected over a number of years and collected by a variety of operators. Conclusions This study outlines a robust and easily implemented pipeline for extracting, transforming normalising and visualising transcriptomic array data from Agilent expression platform. The analysis is used to obtain quantitative estimates of the SD arising from experimental (non biological) intra- and interarray variability, and for a lower threshold for determining whether an individual gene is expressed. The study provides a reliable basis for further more extensive studies of the systems biology of eukaryotic cells