Museum of emotion: artefacts of separation and memory

Objects, when understood as retrieval cues for memories, may elicit psychological benefits and connections to an individual's past. They are integral to our life story and help to form our individual sense of identity and ability to establish a sound psychological foundation. Transitional objects are an important related category of objects that have been identified in this research. The concept and use of transitional objects and their related phenomena during infancy is well researched, whereas the impact and importance beyond infancy is less established. This study researches this phenomenon through the creative works made for this project. The methodology for this project synthesises established areas of research on memory and psychoanalysis from the perspective of an art-based investigation. Objects have been reimagined and re-made into artefacts using thread, wool fibres and silk for this practice- based project. Stitching and writing have been structured into artefacts to signify a trace of time, motion, emotion and memory. It is the exploration of the retrieval cue for memory and the adult version of the transitional object that is significant and key to the research. The research for this project seeks a deeper understanding of transitional objects during any stage of life. This research contributes to the fields of fine art, memory and psychology. Further inquiries for personal and psychoanalytical research may assist in understanding the potential of this research and its application for adults. Developing areas such as art therapy and the psychological support that extrapolates on an infant's recognised use of a transitional object

Wetlands in drylands: diverse perspectives for dynamic landscapes

The United Nations Environment Programme (UNEP 1997) classifes global drylands according to an Aridity Index (AI), defned as the ratio between mean annual precipitation (MAP) and potential evapotranspiration (PET). Drylands are areas where AI is <0.65, collectively incorporating subhumid, semiarid, arid and hyperarid settings (UNEP 1997; see Fig. 1). Wetlands in drylands (hereafter WiDs) have distinctive hydrogeomorphological, biogeochemical, ecological, and social-ecological features, and as a result, they require carefully tailored research and management strategies.Fil: Grenfell, Suzanne. STELLENBOSCH UNIVERSITY (SUN);Fil: Grenfell, Michael. University of Cape Town; SudáfricaFil: Tooth, Stephen. Aberystwyth University.; Reino UnidoFil: Mehl, Adriana Ester. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; ArgentinaFil: OGorman, Emily. Macquarie University; AustraliaFil: Ralph, Tim. Macquarie University; AustraliaFil: Ellery, William. Rhodes University; Sudáfric

Recent Transits of the Super-Earth Exoplanet GJ 1214B

We report recent ground-based photometry of the transiting super-Earth exoplanet GJ1214b at several wavelengths, including the infrared near 1.25 microns (J-band). We observed a J-band transit with the FLAMINGOS infrared imager and the 2.1-meter telescope on Kitt Peak, and we observed several optical transits using a 0.5-meter telescope on Kitt Peak and the 0.36-meter Universidad de Monterrey Observatory telescope. Our high-precision J-band observations exploit the brightness of the M-dwarf host star at this infrared wavelength as compared to the optical, as well as being significantly less affected by stellar activity and limb darkening. We fit the J-band transit to obtain an independent determination of the planetary and stellar radii. Our radius for the planet (2.61 +0.30 / -0.11 Earth radii) is in excellent agreement with the discovery value reported by Charbonneau et al. based on optical data. We demonstrate that the planetary radius is insensitive to degeneracies in the fitting process. We use all of our observations to improve the transit ephemeris, finding P=1.5804043 +/- 0.0000005 days, and T0=2454964.94390 +/- 0.00006 BJD

Climate-Invariant Machine Learning

Data-driven algorithms, in particular neural networks, can emulate the effects of unresolved processes in coarse-resolution climate models when trained on high-resolution simulation data; however, they often make large generalization errors when evaluated in conditions they were not trained on. Here, we propose to physically rescale the inputs and outputs of machine learning algorithms to help them generalize to unseen climates. Applied to offline parameterizations of subgrid-scale thermodynamics in three distinct climate models, we show that rescaled or "climate-invariant" neural networks make accurate predictions in test climates that are 4K and 8K warmer than their training climates. Additionally, "climate-invariant" neural nets facilitate generalization between Aquaplanet and Earth-like simulations. Through visualization and attribution methods, we show that compared to standard machine learning models, "climate-invariant" algorithms learn more local and robust relations between storm-scale convection, radiation, and their synoptic thermodynamic environment. Overall, these results suggest that explicitly incorporating physical knowledge into data-driven models of Earth system processes can improve their consistency and ability to generalize across climate regimes.Comment: 12+18 pages, 8+12 figures, 2+2 tables in the main text + supplementary information. Submitted to PNAS on December 14th, 202

Patients who walk out from our emergency departments; is alcohol an issue?

Patients who Did Not Wait and Left Against Medical Advice over a 1 month period at ED in Letterkenny General Hospital were identified and their charts isolated for review. A proforma sheet was designed and various parameters were recorded from their charts. Patients were followed up by telephone with the aim of obtaining the reasons why they left and to require about any residual medical complaints

The Effects of a Parent Training Program that is Responsive to Current Repertoire and Affect

Social deficits are one of the defining symptoms of autism spectrum disorder and affect a child’s ability to build relationships with others. These deficits put children with autism at a disadvantage when most of their world is focused on building connections with others – family, friendships, and community ties. Sunny Starts, a service-learning project, was created to specifically meet the needs of families with young toddlers with autism. The primary focus of Sunny Starts is to enhance the quality of the parent-child relationship by teaching parents a basic teaching interaction and to arrange the child’s environment in ways that are mutually reinforcing. The purpose of this experiment is to study the effects of the Sunny Starts DANCE training package, a responsive parent training program, on three levels of parent and child behaviors: 1) teaching episodes, 2) turn taking, social attending, vocal requests, and 3) synchronous engagement. Participants included two parent-child dyads. Parent training included 5-minute video assessments, video review, descriptions, rationales, modeling, practice, and feedback. The effects of the parent training were evaluated using a concurrent multiple baseline across participants. Results indicate parent teaching episodes and child behaviors (turn taking, social attending, and verbal requests) increased during the intervention phase. The duration of parent-child synchronous engagement maintained at high levels and slightly increased

ABC of architecture

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Data set used in the phylogenetic analysis modified from Benson et al., 2013 "Benson, R. B., Evans, M., Smith, A. S., Sassoon, J., Moore-Faye, S., Ketchum, H. F., & Forrest, R. (2013). A giant pliosaurid skull from the Late Jurassic of England. PLOS One, 8(5), e65989