Alien Registration- Irons, Ronald C. (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/23260/thumbnail.jp

Self-compassion and compassion towards one’s partner mediate the negative association between insecure attachment and relationship quality.

The quality of intimate relationships has been found to be a strong negative predictor for individuals’ mental and physical health problems. A significant predictor of relationship quality is adult attachment insecurity, but the mechanism by which attachment insecurity affects relationship quality needs further investigation. This study investigated whether self-compassion and compassion for one’s partner mediated this association. Three-hundred-forty-two individuals participated in an online survey assessing attachment anxiety and avoidance, compassionate and uncompassionate attitude towards self and one’s partner, as well as relationship quality and relationship satisfaction. The results showed that low self-compassionate attitude mediated the association between attachment anxiety and poor relationship quality. Further, low compassionate and high uncompassionate attitude towards one’s partner mediated the association between attachment avoidance and poor relationship quality. No mediating effect was found for relationship satisfaction. Implications for interventions are discussed

Airborne multispectral linear array instruments at Goddard Space Flight Center

The fabrication of airborne instruments is contributing to the development of multispectral linear array technology at NASA's Goddard Space Flight Center. The linear array pushbroom radiometer (LAPR-I), was built to demonstrate capabilities for acquiring digital image data using linear arrays. The LAPR-I employed three arrays of 512 silicon photodiodes each to simultaneously acquire three channels of data for spectral bands within the visible and near-infrared portions of the spectrum. A second instrument, LAPR-II, uses four arrays each consisting of 512 silicon detectors. A filter wheel containing six spectral filters is used in conjunction with each array to allow filter changes in flight. This capability will facilitate studies into the utility of various bands within the visible and near infrared portions of the spectrum. The LAPR-II's aircraft mounting will allow off-nadir pointing (plus-or-minus 50 deg fore-and-aft and side-to-side) which will enable investigations of the radiometric and geometric effects of off-nadir viewing. A short wave infrared radiometer is also described

Landsat Data Continuity Mission Expected Instrument Performance

The Landsat Data Continuity Mission (LDCM) is scheduled for a December 2012 launch date. LDCM is being managed by an interagency partnership between NASA and the U.S. Geological Survey (USGS). In order to provide the necessary spectral coverage of the visible through shortwave-infrared (SWIR) and the thermal-infrared (TIR), the satellite will carry two sensors. The Operational Land Imager (OLI) will collect data for nine visible to shortwave spectral bands with a spatial resolution of 30 m (with a 15 m panchromatic band). The Thermal Infrared Sensor (TIRS) will collect coincident image data for two TIR bands with a spatial resolution of 100 m. The OLI is fully assembled and tested and has been shipped by it's manufacturer, Ball Aerospace and Technology Corporation, to the Orbital Sciences Corporation (Orbital) facility where it is being integrated onto the LDCM spacecraft. Pre-launch testing indicates that OLI will meet all performance specification with margin. TIRS is in development at the NASA Goddard Space F!ight Center (GSFC) and is in final testing before shipping to the Orbital facility in January, 2012. The presentation will describe the LDCM satellite instrument systems, present pre-launch performance data for OLI and TIRS, and present simulated images to highlight notable features and expected imaging performance

A Qualitative Study Exploring the Impact the Self-Compassion App Has on Levels of Compassion, Self-Criticism, and Wellbeing

Self-guided, smartphone apps may be helpful in reducing symptoms associated with psychological distress and may boost wellbeing, and levels of compassion. To our knowledge this is the first study to examine the impact a 28-day app based on Compassion Focused Therapy and Compassionate Mind Training has on participant’s levels of compassion, wellbeing, and self-criticism. The Self-Compassion App includes exercises, meditations, quotes, a daily wisdom, and audios, all of which aim to help individuals develop compassion for themselves, experience compassion from others, and be more compassionate to other people. The aim of the study was to explore participants’ experiences of the app, including ease of use, preferred sessions, barriers, as well as perceived impact on well-being, self-compassion, and self-criticism. Nine members of staff and eight students from The University of Salford took part in two focus groups; one for staff and one for students approximately four-six weeks after use of the app. The analysis highlighted eight themes: (1) Thinking of my experiences differently (2) Soothing the threat: Managing the three systems (3) Stop, reflect, and befriend the self-critic (4) Looking after me: The therapist within (5) Fears, Blocks, and Resistances (6) Looking back at the good things in life (7) Gender of Therapist (8) An ap(p)t App. Following use of the app, participants reported that they were more supportive of themselves, connected with their compassionate self, befriended their inner critic, experienced gratitude, and in times of personal struggles, reminded themselves that the present moment was an opportunity for compassion to be applied. The COVID-19 pandemic had, and continues to have, a negative impact on the mental health of many people. Therefore considering interventions that utilise technology with the aim of boosting wellbeing, levels of compassion, and reducing self-criticism is imperative

VetCompass Australia: A National Big Data Collection System for Veterinary Science

VetCompass Australia is veterinary medical records-based research coordinated with the global VetCompass endeavor to maximize its quality and effectiveness for Australian companion animals (cats, dogs, and horses). Bringing together all seven Australian veterinary schools, it is the first nationwide surveillance system collating clinical records on companion-animal diseases and treatments. VetCompass data service collects and aggregates real-time, clinical records for researchers to interrogate, delivering sustainable and cost-effective access to data from hundreds of veterinary practitioners nationwide. Analysis of these clinical records will reveal geographical and temporal trends in the prevalence of inherited and acquired diseases, identify frequently prescribed treatments, revolutionize clinical auditing, help the veterinary profession to rank research priorities, and assure evidence-based companion-animal curricula in veterinary schools. VetCompass Australia will progress in three phases: (1) roll-out of the VetCompass platform to harvest Australian veterinary clinical record data; (2) development and enrichment of the coding (data-presentation) platform; and (3) creation of a world-first, real-time surveillance interface with natural language processing (NLP) technology. The first of these three phases is described in the current article. Advances in the collection and sharing of records from numerous practices will enable veterinary professionals to deliver a vastly improved level of care for companion animals that will improve their quality of life

Managing plagiarism in programming assignments with blended assessment and randomisation.

Plagiarism is a common concern for coursework in many situations, particularly where electronic solutions can be provided e.g. computer programs, and leads to unreliability of assessment. Written exams are often used to try to deal with this, and to increase reliability, but at the expense of validity. One solution, outlined in this paper, is to randomise the work that is set for students so that it is very unlikely that any two students will be working on exactly the same problem set. This also helps to address the issue of students trying to outsource their work by paying external people to complete their assignments for them. We examine the effectiveness of this approach and others (including blended assessment) by analysing the spread of similarity scores across four different introductory programming assignments to find the natural similarity i.e. the level of similarity that could reasonably occur without plagiarism. The results of the study indicate that divergent assessment (having more than one possible solution) as opposed to convergent assessment (only one solution) is the dominant factor in natural similarity. A key area for further work is to apply the analysis to a larger sample of programming assignments to better understand the impact of different features of the assignment design on natural similarity and hence the detection of plagiarism

Exploring the impact of a Compassion Focused Therapy training course on Healthcare Educators

Background: Stress and particularly burnout, is a major problem among healthcare workers and can lead to high staff turnover and low patient/client satisfaction. Objective: To explore the impact of three-day Compassion Focused Therapy training on those delivering education to healthcare students. The underpinning premise was that the training course could potentially be replicated through the participants’ work with students embarking on a career within the helping professions. Design: Mixed methods study, with the qualitative findings being presented in this paper. Setting: Training course was delivered in one higher education institution in England. Methods: In total 44 healthcare lecturers attended the course, with 6 taking part in a reflective focus group. Findings: The analysis highlighted four main themes: reassurance and increased knowledge; increased compassion others; self-compassion and empathy; and blocks to compassion. Conclusion: Findings add to previous quantitative research findings showing that participants who undertook training were able to engage with their compassionate self and consider the importance of showing compassion towards the self and others in healthcare education