Making, Emotion and the drive to re-shore UK garment manufacturing

Research suggests that the act of making with one’s hands may be linked to emotional wellbeing. Yet fashion businesses seeking to return production to the UK are struggling to recruit the necessary skilled manufacturing workers. Given the estimated cost of depression to the UK economy and the sustainability benefits of returning local production it seems that there is potential for massive social benefit could such a workforce be mobilized. This position paper proposes novel design challenges and research questions for further exploration. Application of design methods and critical or speculative design to these challenges could help to raise social awareness of garment manufacture and increase the emotional wellbeing of manufacturing workers, while maintaining rates of production which would make re-shoring (returning to on-shore manufacturing in the UK) economically viable

Acute exercise and appetite-regulating hormones in overweight and obese individuals: A meta-analysis

In lean individuals, acute aerobic exercise is reported to transiently suppress sensations of appetite, suppress blood-concentrations of acylated ghrelin (AG) and increase glucagon-like peptide-1 (GLP-1) and peptide-YY (PYY). Findings in overweight/obese individuals have yet to be synthesised. In this systematic review and meta-analysis, we quantified the effects acute exercise has on AG, total PYY and GLP-1 in overweight/obese individuals. The potential for body mass index (BMI) to act as a moderator for AG was also explored. Six published studies (73 participants, 78% male, mean BMI: 30.6 kg.m-2) met the inclusion criteria. Standardised mean differences (SMD) and standard errors were extracted for AG, total PYY and GLP-1 concentrations in control and exercise trials and synthesised using a random effects meta-analysis model. BMI was the predictor in a meta-regression for AG. Exercise moderately suppressed AG area-under-the-curve concentrations (pooled SMD -0.34, 95%CI: -0.53 to -0.15). The magnitude of this reduction was greater for higher mean BMIs (pooled meta-regression slope: -0.04 SMD/kg.m-2 (95%CI: -0.07 to 0.00)). Trivial SMDs were obtained for total PYY (0.10, 95%CI: -0.13 to 0.31) and GLP-1 (-0.03, 95%CI: -0.18 to 0.13). This indicates that exercise in overweight/obese individuals moderately alters AG in a direction that could be associated with decreased hunger and energy intake. (PROSPERO registration: CRD42014006265)

Error analysis for full discretizations of quasilinear parabolic problems on evolving surfaces

Convergence results are shown for full discretizations of quasilinear parabolic partial differential equations on evolving surfaces. As a semidiscretization in space the evolving surface finite element method is considered, using a regularity result of a generalized Ritz map, optimal order error estimates for the spatial discretization is shown. Combining this with the stability results for Runge--Kutta and BDF time integrators, we obtain convergence results for the fully discrete problems.Comment: -. arXiv admin note: text overlap with arXiv:1410.048

Neural Network-Based Equations for Predicting PGA and PGV in Texas, Oklahoma, and Kansas

Parts of Texas, Oklahoma, and Kansas have experienced increased rates of seismicity in recent years, providing new datasets of earthquake recordings to develop ground motion prediction models for this particular region of the Central and Eastern North America (CENA). This paper outlines a framework for using Artificial Neural Networks (ANNs) to develop attenuation models from the ground motion recordings in this region. While attenuation models exist for the CENA, concerns over the increased rate of seismicity in this region necessitate investigation of ground motions prediction models particular to these states. To do so, an ANN-based framework is proposed to predict peak ground acceleration (PGA) and peak ground velocity (PGV) given magnitude, earthquake source-to-site distance, and shear wave velocity. In this framework, approximately 4,500 ground motions with magnitude greater than 3.0 recorded in these three states (Texas, Oklahoma, and Kansas) since 2005 are considered. Results from this study suggest that existing ground motion prediction models developed for CENA do not accurately predict the ground motion intensity measures for earthquakes in this region, especially for those with low source-to-site distances or on very soft soil conditions. The proposed ANN models provide much more accurate prediction of the ground motion intensity measures at all distances and magnitudes. The proposed ANN models are also converted to relatively simple mathematical equations so that engineers can easily use them to predict the ground motion intensity measures for future events. Finally, through a sensitivity analysis, the contributions of the predictive parameters to the prediction of the considered intensity measures are investigated.Comment: 5th Geotechnical Earthquake Engineering and Soil Dynamics Conference, Austin, TX, USA, June 10-13. (2018

Computer memories: the history of computer form

This paper looks at the computer as a truly global form. The similar beige boxes found in offices across the world are analysed from the perspective of design history rather than that of the history of science and technology. Through the exploration of an archive of computer manufacturer's catalogues and concurrent design texts, this paper examines the changes that have occurred in the production and consumption of the computer in the context of the workplace, from its inception as a room-sized mainframe operated through a console of flashing lights, to the personal computer as a 'universal' form, reproduced by many manufacturers. It shows how the computer in the past has been as diverse as any other product, and asks how and why it now appears as a standardised, sanitised object. In doing so our relationship with the office computer, past and present is explored, revealing a complex history of vicissitude.</p

Statistical modeling of ground motion relations for seismic hazard analysis

We introduce a new approach for ground motion relations (GMR) in the probabilistic seismic hazard analysis (PSHA), being influenced by the extreme value theory of mathematical statistics. Therein, we understand a GMR as a random function. We derive mathematically the principle of area-equivalence; wherein two alternative GMRs have an equivalent influence on the hazard if these GMRs have equivalent area functions. This includes local biases. An interpretation of the difference between these GMRs (an actual and a modeled one) as a random component leads to a general overestimation of residual variance and hazard. Beside this, we discuss important aspects of classical approaches and discover discrepancies with the state of the art of stochastics and statistics (model selection and significance, test of distribution assumptions, extreme value statistics). We criticize especially the assumption of logarithmic normally distributed residuals of maxima like the peak ground acceleration (PGA). The natural distribution of its individual random component (equivalent to exp(epsilon_0) of Joyner and Boore 1993) is the generalized extreme value. We show by numerical researches that the actual distribution can be hidden and a wrong distribution assumption can influence the PSHA negatively as the negligence of area equivalence does. Finally, we suggest an estimation concept for GMRs of PSHA with a regression-free variance estimation of the individual random component. We demonstrate the advantages of event-specific GMRs by analyzing data sets from the PEER strong motion database and estimate event-specific GMRs. Therein, the majority of the best models base on an anisotropic point source approach. The residual variance of logarithmized PGA is significantly smaller than in previous models. We validate the estimations for the event with the largest sample by empirical area functions. etc

Explaining Energy Resource Cooperation: Shale Gas, Chinese Investment, and the Changing Calculus of U.S. Energy Security

In June of 2005, the relatively small and generally insignificant energy company Unocal became the focus of a fierce bidding war. China National Offshore Oil Company (CNOOC) made the first move, outbidding the American firm Chevron. Accepting the CNOOC bid looked like an obvious choice for Unocal since it was almost $1.5 billion dollars more. However, as it became increasingly clear that policy makers in Washington would not allow the deal to go through CNOOC withdrew its bid and Unocal had little option but to accept Chevron’s offer. Washington’s opposition seemed to be an overreaction to a deal that would have little immediate or long-term impact on U.S. energy supplies. Unocal accounted for less than one percent of U.S. oil and gas production. The opposition, however, was the product of larger forces. Industry experts and policy makers projected that the world was entering a period of fossil fuel scarcity. Holding energy resources was of vital importance for energy security and national survival. American policy makers found the deal unacceptable. China had a comparable energy demand and deficit. China would likely divert energy products away from the United States and towards itself. Many observers thought that this would be the beginning of what would be a long, drawn-out battle between the two countries over the world’s fossil fuel resources. This competition, many believed, would unavoidably strain resources, and scholars such as Michael Klare predicted it would eventually end in war. In 2005, few would have predicted that the U.S. and China would soon cooperate in the development of energy resources located in the United States. This, however, is what transpired. In 2010, the U.S. allowed a Chinese company to invest in its domestic energy resources. CNOOC, the company that five years earlier had their attempt to invest in American energy assets blocked, reached a deal with Chesapeake Energy to help develop and produce shale gas reserves in the Eagle Ford formation in Texas. In 2011, these two companies reached an agreement to develop shale resources in Colorado and Wyoming. A little less than a year later, the Chinese firm Sinopec and the American firm Devon Energy also entered into a joint venture. CNOOC and Sinopec are also currently in competition to buy a 30 percent stake in FTS international, a company that specializes in hydraulic fracturing technology. Why would U.S. policy makers allow Chinese investment in 2010? This question becomes especially perplexing when taking into consideration that the energy demand for both countries grew during this time, and projections of energy scarcity have persisted. While the shale gas boom has given US policy makers reason for optimism, the amount of gas in the ground or how long it will supply U.S. demand is far from certain. I will offer an explanation for this puzzle by applying the theory outlined by Stephen Brooks in his book Producing Security. I will use his theory to create a typology that explains when US policy makers support cooperation and when they do not. I will argue that the United States can no longer seek to obtain energy security independently, or to limit investment only to close allies who pose no threat to energy supplies. High costs and rapid technological development have forced the United States to allow for investment from China, an energy competitor. The United States, however, does not indiscriminately allow for Chinese investment but will only do so when the investment will enable technological innovation and provide needed capital that will further ensure energy security. This paper will continue as follows: I will first provide a review of the relevant literature. I will then offer the theoretical foundations of my argument. I will then give the relevant background information. This will include a brief explanation of natural gas exploration and production as well as a short historical outline of the U.S.-China energy relationship. I will then test two case studies against the hypotheses that I will pose later in this paper. The first case will provide an in-depth examination of the previous attempt of CNOOC to buy a stake in American-held energy assets in 2005. This incident will help provide a baseline of the behavior of energy-deficit states when energy is scarce, or there are projections of scarcity, and there is no pressing need for technological innovation to produce fossil fuel economically. The second case study, U.S.-Chinese shale gas cooperation, will show the response of the United States when projects are technologically and capital intensive

The Allen Telescope Array: The First Widefield, Panchromatic, Snapshot Radio Camera for Radio Astronomy and SETI

The first 42 elements of the Allen Telescope Array (ATA-42) are beginning to deliver data at the Hat Creek Radio Observatory in Northern California. Scientists and engineers are actively exploiting all of the flexibility designed into this innovative instrument for simultaneously conducting surveys of the astrophysical sky and conducting searches for distant technological civilizations. This paper summarizes the design elements of the ATA, the cost savings made possible by the use of COTS components, and the cost/performance trades that eventually enabled this first snapshot radio camera. The fundamental scientific program of this new telescope is varied and exciting; some of the first astronomical results will be discussed.Comment: Special Issue of Proceedings of the IEEE: "Advances in Radio Telescopes", Baars,J. Thompson,R., D'Addario, L., eds, 2009, in pres

The Allen Telescope Array Pi GHz Sky Survey I. Survey Description and Static Catalog Results for the Bootes Field

The Pi GHz Sky Survey (PiGSS) is a key project of the Allen Telescope Array. PiGSS is a 3.1 GHz survey of radio continuum emission in the extragalactic sky with an emphasis on synoptic observations that measure the static and time-variable properties of the sky. During the 2.5-year campaign, PiGSS will twice observe ~250,000 radio sources in the 10,000 deg^2 region of the sky with b > 30 deg to an rms sensitivity of ~1 mJy. Additionally, sub-regions of the sky will be observed multiple times to characterize variability on time scales of days to years. We present here observations of a 10 deg^2 region in the Bootes constellation overlapping the NOAO Deep Wide Field Survey field. The PiGSS image was constructed from 75 daily observations distributed over a 4-month period and has an rms flux density between 200 and 250 microJy. This represents a deeper image by a factor of 4 to 8 than we will achieve over the entire 10,000 deg^2. We provide flux densities, source sizes, and spectral indices for the 425 sources detected in the image. We identify ~100$ new flat spectrum radio sources; we project that when completed PiGSS will identify 10^4 flat spectrum sources. We identify one source that is a possible transient radio source. This survey provides new limits on faint radio transients and variables with characteristic durations of months.Comment: Accepted for publication in ApJ; revision submitted with extraneous figure remove