Naming of Objects and Actions after Treatment with Phonological Components Analysis in Aphasia

Joana Kristensson,Charlotta Saldert 한국언어재활사협회 2018 Clinical Archives of Communication Disorders Vol.3 No.2

Objectives: To explore the effects of intensive treatment with phonological components analysis on naming of both objects and actions. Methods: Phonological components analysis (PCA) was used to treat two individuals with moderate or severe aphasia after stroke. A single case study design with chronological time series analysis was employed to explore the effects of treatment for a total of up to 20 hours comprising the naming of self-chosen objects and actions. Changes in confrontation naming ability were assessed repeatedly. In addition, generalisation of training effects was examined in connected speech in a picture description task as well as in ratings of functional communication skills as perceived by the participants and their next of kin. Results: An increase in correctly produced words for treated items with some generalisation to untreated items was demonstrated post-treatment in a participant with moderate mixed fluent aphasia and mostly phonological errors. Number of words and degree of informativeness in the picture description task also increased. Results remained at a 10-week follow-up. A participant with severe conduction aphasia and mainly semantic errors in the pre-training assessment also demonstrated a small increase in correct confrontation naming post-treatment. Some aspects of functional communication skills were rated slightly higher, but both participants perceived the negative impact of the aphasia to be greater post-treatment. Conclusions: Phonological component analysis may be used in training of both objects and actions. However, aphasia severity and underlying deficits most likely influence the results and further research is warranted to explore the training effects.

COMPETETING CATEGORIES OF SERVICE INNOVATION

Lars Witell,Hannah Snyder,Anders Gustafsson,Paul Fombelle,Per Kristensson 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.3

To stay ahead in today’s competitive landscape service firms must continually innovate their offerings and processes (Thakur and Hale 2013). Spurred by this focus on innovation, there has been a tremendous growth in service firms over the past decade. Service innovation has been recognized as the engine of renewal and reason for the growth of the services sector. Although the concept service innovation is gaining increased attention, the question of what a service innovation really is remains unanswered. Traditionally, research on service innovation has separated radical and incremental innovations (see e.g. Gallouj and Weinstein, 1997), and product and process innovations (Vaux Halliday and Trott, 2010). This suggests that there are different conceptualizations that can be used to categorize service innovation. The basis of this research is a literature review. This systematic literature review is based on 879 empirical and conceptual articles used in order to identify conceptualizations of categories of service innovation. In total, 43 categories of service innovation were identified. These conceptualizations were analyzed to show what the benefits and drawbacks are with the different categories. We identify five unique conceptualizations of categories that emphasize different traits of service innovation (1) degree of change in the offering, (2) type of change in the content of the offering, (3) degree of newness in the offering, (4) type of change in the organization and (5) alternative means to an innovative offering. Our review of categories of service innovation provides evidence that the research field is diverse and moving in a number of alternative directions The results indicate that most conceptualizations of service innovation are in-ward focus and views innovations as something that is (only) new to the firm. In addition, the view that service innovations must have an effect is neglected, both in terms of effect on customer behavior and financial performance. Furthermore, this review shows that a service innovation can be anything from an improvement of a single service characteristic to the introduction of an offering that is new to the world. By showing the plethora of conceptualizations of service innovation it is possible to create a common platform to discuss and develop service innovations beneficial for the firm.

COMPETETING CATEGORIES OF SERVICE INNOVATION

Lars Witell,Hannah Snyder,Anders Gustafsson,Paul Fombelle,Per Kristensson 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7

To stay ahead in today’s competitive landscape service firms must continually innovate their offerings and processes (Thakur and Hale 2013). Spurred by this focus on innovation, there has been a tremendous growth in service firms over the past decade. Service innovation has been recognized as the engine of renewal and reason for the growth of the services sector. Although the concept service innovation is gaining increased attention, the question of what a service innovation really is remains unanswered. Traditionally, research on service innovation has separated radical and incremental innovations (see e.g. Gallouj and Weinstein, 1997), and product and process innovations (Vaux Halliday and Trott, 2010). This suggests that there are different conceptualizations that can be used to categorize service innovation. The basis of this research is a literature review. This systematic literature review is based on 879 empirical and conceptual articles used in order to identify conceptualizations of categories of service innovation. In total, 43 categories of service innovation were identified. These conceptualizations were analyzed to show what the benefits and drawbacks are with the different categories. We identify five unique conceptualizations of categories that emphasize different traits of service innovation (1) degree of change in the offering, (2) type of change in the content of the offering, (3) degree of newness in the offering, (4) type of change in the organization and (5) alternative means to an innovative offering. Our review of categories of service innovation provides evidence that the research field is diverse and moving in a number of alternative directions The results indicate that most conceptualizations of service innovation are in-ward focus and views innovations as something that is (only) new to the firm. In addition, the view that service innovations must have an effect is neglected, both in terms of effect on customer behavior and financial performance. Furthermore, this review shows that a service innovation can be anything from an improvement of a single service characteristic to the introduction of an offering that is new to the world. By showing the plethora of conceptualizations of service innovation it is possible to create a common platform to discuss and develop service innovations beneficial for the firm.

Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories

Schmale, Julia,Henning, Silvia,Decesari, Stefano,Henzing, Bas,Keskinen, Helmi,Sellegri, Karine,Ovadnevaite, Jurgita,Pö,hlker, Mira L.,Brito, Joel,Bougiatioti, Aikaterini,Kristensson, Adam,Kaliviti Copernicus GmbH 2018 Atmospheric Chemistry and Physics Vol.18 No.4

<P><p><strong>Abstract.</strong> Aerosol-cloud interactions (ACI) constitute the single largest uncertainty in anthropogenic radiative forcing. To reduce the uncertainties and gain more confidence in the simulation of ACI, models need to be evaluated against observations, in particular against measurements of cloud condensation nuclei (CCN). Here we present a data set - ready to be used for model validation - of long-term observations of CCN number concentrations, particle number size distributions and chemical composition from 12 sites on 3 continents. Studied environments include coastal background, rural background, alpine sites, remote forests and an urban surrounding. Expectedly, CCN characteristics are highly variable across site categories. However, they also vary within them, most strongly in the coastal background group, where CCN number concentrations can vary by up to a factor of 30 within one season. In terms of particle activation behaviour, most continental stations exhibit very similar activation ratios (relative to particles<span class='thinspace'></span><span class='inline-formula'>&gt;</span><span class='thinspace'></span>20<span class='thinspace'></span>nm) across the range of 0.1 to 1.0<span class='thinspace'></span>% supersaturation. At the coastal sites the transition from particles being CCN inactive to becoming CCN active occurs over a wider range of the supersaturation spectrum.</p> <p>Several stations show strong seasonal cycles of CCN number concentrations and particle number size distributions, e.g. at Barrow (Arctic haze in spring), at the alpine stations (stronger influence of polluted boundary layer air masses in summer), the rain forest (wet and dry season) or Finokalia (wildfire influence in autumn). The rural background and urban sites exhibit relatively little variability throughout the year, while short-term variability can be high especially at the urban site.</p> <p>The average hygroscopicity parameter, <span class='inline-formula'><i>κ</i></span>, calculated from the chemical composition of submicron particles was highest at the coastal site of Mace Head (0.6) and lowest at the rain forest station ATTO (0.2-0.3). We performed closure studies based on <span class='inline-formula'><i>κ</i></span>-Köhler theory to predict CCN number concentrations. The ratio of predicted to measured CCN concentrations is between 0.87 and 1.4 for five different types of <span class='inline-formula'><i>κ</i></span>. The temporal variability is also well captured, with Pearson correlation coefficients exceeding 0.87.</p> <p>Information on CCN number concentrations at many locations is important to better characterise ACI and their radiative forcing. But long-term comprehensive aerosol particle characterisations are labour intensive and costly. Hence, we recommend operating “migrating-CCNCs” to conduct collocated CCN number concentration and particle number size distribution measurements at individual locations throughout one year at least to derive a seasonally resolved hygroscopicity parameter. This way, CCN number concentrations can only be calculated based on continued particle number size distribution information and greater spatial coverage of long-term measurements can be achieved.</p> </P>