An Exploration of Art Therapy and Attunement in Treating Families with DCFS Involvement

This qualitative research aimed to explore how art therapy may enhance attunement when working with families who have involvement with Department of Children and Family Services (DCFS). The study utilized a focus group methodology to examine the experience of two art therapists with backgrounds in treating families involved with DCFS. Through the analysis of the participants’ discussion, artwork and reflections, several subsequent emergent themes were revealed. These themes exposed various barriers within the system that may complicate the therapeutic relationship, as well as qualities within the art process, which act as an equalizer and source of containment. These themes illuminated findings that support the role of art in building attunement, as well as questions for future research regarding families with child welfare involvement

Automated identification of river hydromorphological features using UAV high resolution aerial imagery

European legislation is driving the development of methods for river ecosystem protection in light of concerns over water quality and ecology. Key to their success is the accurate and rapid characterisation of physical features (i.e., hydromorphology) along the river. Image pattern recognition techniques have been successfully used for this purpose. The reliability of the methodology depends on both the quality of the aerial imagery and the pattern recognition technique used. Recent studies have proved the potential of Unmanned Aerial Vehicles (UAVs) to increase the quality of the imagery by capturing high resolution photography. Similarly, Artificial Neural Networks (ANN) have been shown to be a high precision tool for automated recognition of environmental patterns. This paper presents a UAV based framework for the identification of hydromorphological features from high resolution RGB aerial imagery using a novel classification technique based on ANNs. The framework is developed for a 1.4 km river reach along the river Dee in Wales, United Kingdom. For this purpose, a Falcon 8 octocopter was used to gather 2.5 cm resolution imagery. The results show that the accuracy of the framework is above 81%, performing particularly well at recognising vegetation. These results leverage the use of UAVs for environmental policy implementation and demonstrate the potential of ANNs and RGB imagery for high precision river monitoring and river management

Collaborating with Culturally Competent Prenatal Education among Hispanic Communities

Introduction. Hispanics represent the largest minority group in the United States. In Kansas, the population of Hispanics has been increasing; unfortunately, their infant mortality rate has increased as well. Baby Talk is a prenatal education program promoting maternal and infant health through risk-reduction strategies and healthy decision-making. The aim of this pilot project was to develop and evaluate a Spanish curriculum for Baby Talk. Methods. A collaborative partnership between community members and bilingual health professionals from different origins, nationalities, and Spanish dialects was formed to create a culturally and linguistically appropriate Spanish Baby Talk curriculum. This interventional pilot study employed survey and interviews to evaluate participant knowledge, intentions, satisfaction and perceptions of the newly developed curriculum. Results. Fifteen pregnant women participated in Spanish Baby Talk. Of those, 12 participated in either phone interviews (n=6) or a focus group (n=6). All respondents described their experience with the Spanish Baby Talk program as “excellent”. Significant increases in knowledge were seen related to topics such as benefits of full-term pregnancy and benefits of breastfeeding. Four themes were identified from the focus group and interviews: 1) lack of accessible community resources; 2) sense of community; 3) Spanish Baby Talk strengths; and 4) areas for improvements. Conclusions. Findings suggested that the Spanish Baby Talk curriculum was linguistically appropriate and resulted in increases in knowledge and intentions related to health and safety behaviors. Areas for improvement were related to marketing the program and referring to resources that provide material supports (i.e., diapers) to continue the move towards a culturally competent program

Star Formation in a Stellar Mass Selected Sample of Galaxies to z=3 from the GOODS NICMOS Survey (GNS)

We present a study of the star-forming properties of a stellar mass-selected sample of galaxies in the GOODS NICMOS Survey (GNS), based on deep Hubble Space Telescope imaging of the GOODS North and South fields. Using a stellar mass selected sample, combined with HST/ACS and Spitzer data to measure both UV and infrared derived star formation rates (SFR), we investigate the star forming properties of a complete sample of ~1300 galaxies down to log M*=9.5 at redshifts 1.5<z<3. Eight percent of the sample is made up of massive galaxies with M*>10^11 Msun. We derive optical colours, dust extinctions, and ultraviolet and infrared SFR to determine how the star formation rate changes as a function of both stellar mass and time. Our results show that SFR increases at higher stellar mass such that massive galaxies nearly double their stellar mass from star formation alone over the redshift range studied, but the average value of SFR for a given stellar mass remains constant over this 2 Gyr period. Furthermore, we find no strong evolution in the SFR for our sample as a function of mass over our redshift range of interest, in particular we do not find a decline in the SFR among massive galaxies, as is seen at z < 1. The most massive galaxies in our sample (log M*>11) have high average SFRs with values, SFR(UV,corr) = 103+/-75 Msun/yr, yet exhibit red rest-frame (U-B) colours at all redshifts. We conclude that the majority of these red high-redshift massive galaxies are red due to dust extinction. We find that A(2800) increases with stellar mass, and show that between 45% and 85% of massive galaxies harbour dusty star formation. These results show that even just a few Gyr after the first galaxies appear, there are strong relations between the global physical properties of galaxies, driven by stellar mass or another underlying feature of galaxies strongly related to the stellar mass.Comment: 18 pages, 10 figures, accepted for publication in MNRA

#Greener by GreenTech

In recent years there has been growing concern about the negative impact humankind has on the planet. Companies and individuals are making efforts to mitigate their environmental impact. In this context and as individuals that care about the environment and try to lead a more sustainable life, we decided to research which elements could be stopping individuals from trying to implement changes in their daily habits. One of the key conclusions of this research was that there is too much information, sometimes even conflicting, on how to lead a sustainable life. #Greener aims to make a contribution by giving clear tips to reduce the negative impact on the environment on an individual basis, by stimulating practices that are accessible and safe for everyone to do in a fun manner. In order to do this we developed a mobile application and a website that proposes challenges to be completed, and encourages you to submit evidence as pictures to the platform and to social media, so as to motivate others to also lead a more sustainable life

Deconvoluting an Americium-Beryllium Neutron Spectrum from a Proton Recoil Detector

A proton recoil detector was acquired from LND, Inc. to be used in neutron counting experiments with an 241AmBe source. Neutrons elastically scatter off of and ionize hydrogen atoms creating protons that can be detected. A single neutron can undergo multiple scattering events and this can result in several pulses being registered by the detector. This method of detection creates a detector response that changes with varying neutron fields, and unless both the incident neutron field and detector response to the neutron field are known, then it is not possible to visually determine what the detector is measuring. In order to solve this problem, we attempted to unfold the measured spectrum using MAXED. MAXED requires the measured spectrum, as well as a file containing response functions. Since there was no access to monoenergetic neutron sources to experimentally determine these response functions, the response functions were calculated using MCNPX. In addition, the detector response to several different 241AmBe neutron spectra were calculated and compared to the experimental data. Using MCNPX, the detector response was able to be modeled. Unfolding the experimental data was not successful, but the MCNPX results are consistent with the detector measuring an 241AmBe spectrum. The actual 241AmBe neutron spectrum can vary from source to source, so the spectrum used in MCNPX is not necessarily the spectrum emitted by the 241AmBe source. For future experiments and simulations using this specific source, the results of the MCNPX simulation can serve as a starting point for the neutron energy distribution. There will still be uncertainty associated with the source in simulations; however, with the number of different 241AmBe source spectra available, using a spectrum that produces results that match experiments can help reduce the error in future simulations

Astro2020 White Paper: A Direct Measure of Cosmic Acceleration

Nearly a century after the discovery that we live in an expanding Universe, and two decades after the discovery of accelerating cosmic expansion, there remains no direct detection of this acceleration via redshift drift - a change in the cosmological expansion velocity versus time. Because cosmological redshift drift directly determines the Hubble parameter H(z), it is arguably the cleanest possible measurement of the expansion history, and has the potential to constrain dark energy models (e.g. Kim et al. 2015). The challenge is that the signal is small - the best observational constraint presently has an uncertainty several orders of magnitude larger than the expected signal (Darling 2012). Nonetheless, direct detection of redshift drift is becoming feasible, with upcoming facilities such as the ESO-ELT and SKA projecting possible detection within two to three decades. This timescale is uncomfortably long given the potential of this cosmological test. With dedicated experiments it should be possible to rapidly accelerate progress and detect redshift drift with only a five-year observational baseline. Such a facility would also be ideal for precision radial velocity measurements of exoplanets, which could be obtained as a byproduct of the ongoing calibration measurements for the experiment.Comment: White paper submitted to the Astro2020 Decadal Survey. 6 page

Assessment of culture and environment in the Adolescent Brain and Cognitive Development Study: Rationale, description of measures, and early data.

Neurodevelopmental maturation takes place in a social environment in addition to a neurobiological one. Characterization of social environmental factors that influence this process is therefore an essential component in developing an accurate model of adolescent brain and neurocognitive development, as well as susceptibility to change with the use of marijuana and other drugs. The creation of the Culture and Environment (CE) measurement component of the ABCD protocol was guided by this understanding. Three areas were identified by the CE Work Group as central to this process: influences relating to CE Group membership, influences created by the proximal social environment, influences stemming from social interactions. Eleven measures assess these influences, and by time of publication, will have been administered to well over 7,000 9-10 year-old children and one of their parents. Our report presents baseline data on psychometric characteristics (mean, standard deviation, range, skewness, coefficient alpha) of all measures within the battery. Effectiveness of the battery in differentiating 9-10 year olds who were classified as at higher and lower risk for marijuana use in adolescence was also evaluated. Psychometric characteristics on all measures were good to excellent; higher vs. lower risk contrasts were significant in areas where risk differentiation would be anticipated