Use of the KAWA Model for Teambuilding with Rehabilitative Professionals: An Exploratory Study

Purpose: The KAWA model, a culturally-sensitive model of occupational therapy practice, can enhance patient-provider collaboration, but its use as a tool for teambuilding and collaboration among an interprofessional group has not been studied. Teambuilding has been positively correlated with job satisfaction, and quality of client care. The purpose of this exploratory qualitative study was to identify potential uses of the KAWA model and areas for future research related to teambuilding. Method: Trainings on the model, including a review of model components, its potential utility with clients, and an interactive activity, were provided to two rehabilitative teams (N=26) within two skilled nursing facilities. Results: Focus groups were conducted and analysis of the discussions revealed 4 potential applications of the model: (1) as a teambuilding tool to build team cohesiveness/morale; (2) as a tool to address performance issues with individual team members; (3) as a tool for conflict resolution among multiple team members; and (4) as a means to address workplace challenges external to the team itself. Conclusions & Recommendations: Teambuilding in healthcare settings can benefit both clients and rehab professionals, and the KAWA model may be an effective tool for this purpose. Limitations include a modest sample, and interpreter bias; however, this study provides a foundation for future research on the KAWA model related to teambuilding and interprofessional collaboration

Use of the Kawa Model to Facilitate Interprofessional Collaboration: A Pilot Study

Purpose: The Kawa (river in Japanese) model uses the metaphor of a river to view one’s life from a metaphysical perspective, with consideration given to the interaction between social and physical environments, life circumstances, assets, and liabilities. Preliminary research suggests that the Kawa model may be an effective tool for interprofessional collaboration, but studies employing the model with diverse groups of healthcare professionals have not been undertaken. The purpose of this pilot study was to determine if the Kawa model could serve as an effective collaboration tool for a diverse healthcare team within a skilled nursing facility. Method: A pilot study using survey methodology was conducted with an interprofessional team (N=10) involving rehabilitation, nursing, administration, social work, and activities personnel. Education on the Kawa model and its components was provided to the team, followed by their participation in an interactive activity involving application of the model to a case study. An author-generated survey was administered before and after the study to elicit views about the Kawa model’s potential use as a team collaboration tool. Results: All 10/10 participants agreed or strongly agreed the Kawa model provides a common language for interprofessional collaboration, and 9/10 felt it would be an effective tool to increase collaboration in their facility. Conclusions: Healthcare professionals from a variety of fields must collaborate effectively for quality client care. Using a tool, such as the Kawa model, may provide a common ground for interprofessional discussions when making decisions about a client’s care. Recommendations include replication of this study with larger, more diverse healthcare teams, incorporation of an actual client and his or her family in the team, and comparison of other collaborative practices with those employing the Kawa model

An excess of emission in the dark cloud LDN 1111 with the Arcminute Microkelvin Imager

We present observations of the Lynds' dark nebula LDN 1111 made at microwave frequencies between 14.6 and 17.2 GHz with the Arcminute Microkelvin Imager (AMI). We find emission in this frequency band in excess of a thermal free--free spectrum extrapolated from data at 1.4 GHz with matched uv-coverage. This excess is > 15 sigma above the predicted emission. We fit the measured spectrum using the spinning dust model of Drain & Lazarian (1998a) and find the best fitting model parameters agree well with those derived from Scuba data for this object by Visser et al. (2001).Comment: accepted MNRA

Predictability of South China Sea summer monsoon onset

Predicting monsoon onset is crucial for agriculture and socioeconomic planning in countries where millions rely on the timely arrival of monsoon rains for their livelihoods. In this study we demonstrate useful skill in predicting year to year variations in South China Sea summer monsoon onset at up to 3 months lead time using the GloSea5 seasonal forecasting system. The main source of predictability comes from skilful prediction of Pacific sea surface temperatures associated with El Niño and La Niña. The South China Sea summer monsoon onset is a known indicator of the broadscale seasonal transition that represents the first stage of the onset of the Asian summer monsoon as a whole. Subsequent development of rainfall across East Asia is influenced by sub-seasonal variability and synoptic events that reduce predictability, but interannual variability in the broadscale monsoon onset for East Asian summer monsoon still provides potentially useful information for users about possible delays or early occurrence of the onset of rainfall over East Asia

AMI observations of Lynds Dark Nebulae: further evidence for anomalous cm-wave emission

Observations at 14.2 to 17.9 GHz made with the AMI Small Array towards fourteen Lynds Dark Nebulae with a resolution of 2' are reported. These sources are selected from the SCUBA observations of Visser et al. (2001) as small angular diameter clouds well matched to the synthesized beam of the AMI Small Array. Comparison of the AMI observations with radio observations at lower frequencies with matched uv-plane coverage is made, in order to search for any anomalous excess emission which can be attributed to spinning dust. Possible emission from spinning dust is identified as a source within a 2' radius of the Scuba position of the Lynds dark nebula, exhibiting an excess with respect to lower frequency radio emission. We find five sources which show a possible spinning dust component in their spectra. These sources have rising spectral indices in the frequency range 14.2--17.9 GHz. Of these five one has already been reported, L1111, we report one new definite detection, L675, and three new probable detections (L944, L1103 and L1246). The relative certainty of these detections is assessed on the basis of three criteria: the extent of the emission, the coincidence of the emission with the Scuba position and the likelihood of alternative explanations for the excess. Extended microwave emission makes the likelihood of the anomalous emission arising as a consequence of a radio counterpart to a protostar or a proto-planetary disk unlikely. We use a 2' radius in order to be consistent with the IRAS identifications of dark nebulae (Parker 1988), and our third criterion is used in the case of L1103 where a high flux density at 850 microns relative to the FIR data suggests a more complicated emission spectrum.Comment: submitted MNRA

The role of temperature in the variability and extremes of electricity and gas demand in Great Britain

The daily relationship of electricity and gas demand with temperature in Great Britain is analysed from 1975 to 2013 and 1996 to 2013 respectively. The annual mean and annual cycle amplitude of electricity demand exhibit low frequency variability. This low frequency variability is thought to be predominantly driven by socio-economic changes rather than temperature variation. Once this variability is removed, both daily electricity and gas demand have a strong anti-correlation with temperature (r elec = −0.90 , r gas = −0.94). However these correlations are inflated by the changing demand–temperature relationship during spring and autumn. Once the annual cycles of temperature and demand are removed, the correlations are ${r}_{{\rm{elec}}}=-0.60$ and ${r}_{{\rm{gas}}}=-0.83$. Winter then has the strongest demand–temperature relationship, during which a 1 °C reduction in daily temperature typically gives a ~1% increase in daily electricity demand and a 3%–4% increase in gas demand. Extreme demand periods are assessed using detrended daily temperature observations from 1772. The 1 in 20 year peak day electricity and gas demand estimates are, respectively, 15% (range 14%–16%) and 46% (range 44%–49%) above their average winter day demand during the last decade. The risk of demand exceeding recent extreme events, such as during the winter of 2009/2010, is also quantified

AMI Large Array radio continuum observations of Spitzer c2d small clouds and cores

We perform deep 1.8 cm radio continuum imaging towards thirteen protostellar regions selected from the Spitzer c2d small clouds and cores programme at high resolution (25") in order to detect and quantify the cm-wave emission from deeply embedded young protostars. Within these regions we detect fifteen compact radio sources which we identify as radio protostars including two probable new detections. The sample is in general of low bolometric luminosity and contains several of the newly detected VeLLO sources. We determine the 1.8 cm radio luminosity to bolometric luminosity correlation, L_rad -L_bol, for the sample and discuss the nature of the radio emission in terms of the available sources of ionized gas. We also investigate the L_rad-L_IR correlation and suggest that radio flux density may be used as a proxy for the internal luminosity of low luminosity protostars.Comment: submitted MNRA

Radio continuum observations of Class I protostellar disks in Taurus: constraining the greybody tail at centimetre wavelengths

We present deep 1.8 cm (16 GHz) radio continuum imaging of seven young stellar objects in the Taurus molecular cloud. These objects have previously been extensively studied in the sub-mm to NIR range and their SEDs modelled to provide reliable physical and geometrical parametres.We use this new data to constrain the properties of the long-wavelength tail of the greybody spectrum, which is expected to be dominated by emission from large dust grains in the protostellar disk. We find spectra consistent with the opacity indices expected for such a population, with an average opacity index of beta = 0.26+/-0.22 indicating grain growth within the disks. We use spectra fitted jointly to radio and sub-mm data to separate the contributions from thermal dust and radio emission at 1.8 cm and derive disk masses directly from the cm-wave dust contribution. We find that disk masses derived from these flux densities under assumptions consistent with the literature are systematically higher than those calculated from sub-mm data, and meet the criteria for giant planet formation in a number of cases.Comment: submitted MNRA

Relationship between dielectric properties and critical behavior of the electric birefringence in binary liquid mixtures

We present experimental results on the critical exponent ψEKE describing the divergence of the Kerr constant of binary liquid mixtures near the critical consolute point. We show that the measured value of ψEKE agrees with the theoretical prediction only if the measurement is performed with a mixture of two liquids presenting a small mismatch in the dielectric constant, and that the measured ψEKE grows as the dielectric constant mismatch increases. Such findings are consistent with a recent model which assumes that the elongation of critical fluctations along the direction of the electric field can become so strong that fluctuations in the direction perpendicular to the electric field may cross over from Ising to mean-field behavior