Pattern languages in HCI: A critical review

This article presents a critical review of patterns and pattern languages in human-computer interaction (HCI). In recent years, patterns and pattern languages have received considerable attention in HCI for their potential as a means for developing and communicating information and knowledge to support good design. This review examines the background to patterns and pattern languages in HCI, and seeks to locate pattern languages in relation to other approaches to interaction design. The review explores four key issues: What is a pattern? What is a pattern language? How are patterns and pattern languages used? and How are values reflected in the pattern-based approach to design? Following on from the review, a future research agenda is proposed for patterns and pattern languages in HCI

Business experience and start-up size: buying more lottery tickets next time around?

This paper explores the determinants of start-up size by focusing on a cohort of 6247 businesses that started trading in 2004, using a unique dataset on customer records at Barclays Bank. Quantile regressions show that prior business experience is significantly related with start-up size, as are a number of other variables such as age, education and bank account activity. Quantile treatment effects (QTE) estimates show similar results, with the effect of business experience on (log) start-up size being roughly constant across the quantiles. Prior personal business experience leads to an increase in expected start-up size of about 50%. Instrumental variable QTE estimates are even higher, although there are concerns about the validity of the instrument

Predicting new venture survival and growth: does the fog lift?

This paper investigates whether new venture performance becomes easier to predict as the venture ages: does the fog lift? To address this question we primarily draw upon a theoretical framework, initially formulated in a managerial context by Levinthal (Adm Sci Q 36(3):397–420, 1991) that sees new venture sales as a random walk but survival being determined by the stock of available resources (proxied by size). We derive theoretical predictions that are tested with a 10-year cohort of 6579 UK new ventures in the UK. We observe that our ability to predict firm growth deteriorates in the years after entry—in terms of the selection environment, the ‘fog’ seems to thicken. However, our survival predictions improve with time—implying that the ‘fog’ does lift

A global analysis of management capacity and ecological outcomes in terrestrial protected areas

Protecting important sites is a key strategy for halting the loss of biodiversity. However, our understanding of the relationship between management inputs and biodiversity outcomes in protected areas (PAs) remains weak. Here, we examine biodiversity outcomes using species population trends in PAs derived from the Living Planet Database in relation to management data derived from the Management Effectiveness Tracking Tool (METT) database for 217 population time‐series from 73 PAs. We found a positive relationship between our METT‐based scores for Capacity and Resources and changes in vertebrate abundance, consistent with the hypothesis that PAs require adequate resourcing to halt biodiversity loss. Additionally, PA age was negatively correlated with trends for the mammal subsets and PA size negatively correlated with population trends in the global subset. Our study highlights the paucity of appropriate data for rigorous testing of the role of management in maintaining species populations across multiple sites, and describes ways to improve our understanding of PA performance

Separation of the magnetic phases at the N\'{e}el point in the diluted spin-Peierls magnet CuGeO3

The impurity induced antiferromagnetic ordering of the doped spin-Peierls magnet Cu(1-x)Mg(x)GeO(3) was studied by ESR technique. Crystals with the Mg concentration x<4% demonstrate a coexistence of paramagnetic and antiferromagnetic ESR modes. This coexistence indicates the separation of a macroscopically uniform sample in the paramagnetic and antiferromagnetic phases. In the presence of the long-range spin-Peierls order (in a sample with x=1.71%) the volume of the antiferromagnetic phase immediately below the N\'{e}el point T_N is much smaller than the volume of the paramagnetic phase. In the presence of the short-range spin-Peierls order (in samples with x=2.88%, x= 3.2%) there are comparable volumes of paramagnetic and antiferromagnetic phases at T=T_N. The fraction of the antiferromagnetic phase increases with lowering temperature. In the absence of the spin-Peierls dimerization (at x=4.57%)the whole sample exhibits the transition into the antiferromagnetic state and there is no phase separation. The phase separation is explained by the consideration of clusters of staggered magnetization located near impurity atoms. In this model the areas occupied by coherently correlated spins expand with decreasing temperature and the percolation of the ordered area through a macroscopic distance occurs.Comment: 7pages, 10 figure

Electron-spin-resonance in the doped spin-Peierls compound Cu(1-x)Ni(x)GeO3

ESR-study of the Ni-doped spin-Peierls compound CuGeO3 has been performed in the frequency range 9-75 GHz. At low temperatures the g-factor is smaller than the value expected for Cu- and Ni-ions. This anomaly is explained by the formation of magnetic clusters around the Ni-ions within a nonmagnetic spin-Peierls matrix. The transition into the AFM-state detected earlier by neutron scattering for doped samples was studied by means of ESR. For x=0.032 a gap in the magnetic resonance spectrum is found below the Neel temperature and the spectrum is well described by the theory of antiferromagnetic resonance based on the molecular field approximation. For x=0.017 the spectrum below the Neel point remained gapless. The gapless spectrum of the antiferromagnetic state in weekly doped samples is attributed to the small value of the Neel order parameter and to the magnetically disordered spin-Peierls background.Comment: 16 pages, LATEX, 12 figures, submitted to Journal of Physics : Condensed Matte

Structuration theory: Reflections on its further potential for management accounting research

PurposeTo examine the potential of strong structuration theory in management accounting research. Design/methodology/approach The paper explains how the ontological perspective of strong structuration theory extends the work of Giddens and explores how the perspective overcomes a number of the limitations of existing management accounting research based on structuration theory. FindingsStrong structuration theory develops and extends the work of Giddens, providing greater insights into the role of agents, improves our understanding of the diffusion of accounting practices through organisational fields, adds to our knowledge of how artefacts are used in the production and reproduction of organisational life, and improves research design.Research limitations/implicationsStrong structuration theory provides clear guidance about management accounting case study research design, and suggests the potential for the accounting research community to engage more actively in debates about the development of structuration theory beyond the work of Giddens. Originality/value Provides a clear explanation of the ontology of strong structuration theory, its implications for research design, and how it holds the potential to overcome many of the limitations of earlier management accounting studies deploying structuration theory

‘Better late than never’: the interplay between green technology and age for firm growth

This paper investigates the relationship between green/non-green technologies and firm growth. By combining the literature on eco-innovations, industrial organisation and entrepreneurial studies, we examine the dependence of this relationship on the pace at which firms grow and the age of the firm. From a dataset of 5498 manufacturing firms in Italy for the period of 2000–2008, longitudinal fixed effects quantile models are estimated, in which the firm’s age is set to moderate the effects of green and non-green patents on employment growth. We find that the positive effect of green technologies on growth is greater than that of non-green technologies. However, this result does not apply to struggling and rapidly growing firms. With fast-growing (above the median) firms, age moderates the growth effect of green technologies. Inconsistent with the extant literature, this moderation effect is positive: firm experience appears important for the growth benefits of green technologies, possibly relative to the complexity of their management

Maternal plasma selenium and the occurrence of infection symptoms among women at six and twelve months postpartum

Selenium is essential for human health because it produces selenoproteins, which have antioxidant and anti-inflammatory roles. Recently published data have suggested high selenium status (high hair selenium concentration) improved outcomes in patients with COVID-19 infections. Our objective was to investigate the occurrence of infectious symptoms and selenium status among postpartum women. This is a secondary analysis of data collected in the Mother and Infant Nutrition Investigation—an observational, longitudinal cohort study spanning the first postpartum year of mother and infant pairs (n = 87) in Palmerston North, New Zealand. Plasma selenium was measured in women at six months postpartum (6MPP), and the validated Carr Infection Symptom Checklist (CISC) measured the type and frequency of infection symptoms experienced at 6MPP and twelve months postpartum (12MPP). The checklist contains 30 symptoms of infection; each symptom is scored from 0 (no symptoms) to 4 (severe symptoms), thus the possible total score ranges from zero to 120. The data were expressed as the median (q25, q75). The median maternal plasma selenium was 105.8 (95.6, 115.3) µg/L, with 41% of women meeting the criteria for the maximum expression of selenoprotein P (>110 µg/L). The median CISC scores were 12 (8, 18) at 6MPP and 13 (8, 21) at 12MPP, which were weakly correlated (r = 0.363, p = 0.002). Plasma selenium levels among women with a low CISC score ≤ 15 (n = 56) at 6MPP were significantly higher (110.05 µg/L) than those women with a high score of symptoms of infection (score > 15, n = 23) at 102.18 µg/L (p = 0.048, Mann–Whitney U test). Further research is warranted to investigate whether higher plasma selenium levels contribute to a lower rate of maternal infection during the postpartum period. The association between wider selenium biomarkers and maternal immune function should be determined by examining inflammatory markers or immunoglobulin concentrationsfalseBasel, Switzerlan