Scale in regional environmental planning : the reconstruction of North-Brabant, The Netherlands

Selection of scale in science and planning is often guided by ad-hoc decisions and arguments of accuracy and availability of existing data and resources. A more analytical approach to selection of scale and a bridge between theoretical insight and practical application is required. This paper reviews recent developments in thinking on theoretical concepts on scale from the perspective of geo-information science and compares these with a real life case. The concept of scale is framed as a three dimensional boundary object that explains scale choice as resultant of rationalities in reality-, model- and data scales. It is applied to a case-study of how issues of scale were handled in the Reconstruction program of the Province of North Brabant in The Netherlands. The Reconstruction is an ongoing regional spatial planning exercise that started in the year 2000 in response to major veterinary, environmental, social and economic problems in areas with concentrations of intensive livestock keeping. It combines legislation and policies at international, national, regional and municipal levels. Geographic information was produced to support and present the results of the plan process and related SEA. Scale of various intermediate and final geo-information products varied from 1:5000–1:400,000 and was dependent on the plan stage, plan status and target audience, plan instrument, level of participation, data characteristics, costs and technology. By comparing theory with the case study we bring out the criteria and conditions of selection of appropriate scale whereby the usefulness of academic research in geographic information science for planning and decision making could be improved

DNA electrophoresis studied with the cage model

The cage model for polymer reptation, proposed by Evans and Edwards, and its recent extension to model DNA electrophoresis, are studied by numerically exact computation of the drift velocities for polymers with a length L of up to 15 monomers. The computations show the Nernst-Einstein regime (v ~ E) followed by a regime where the velocity decreases exponentially with the applied electric field strength. In agreement with de Gennes' reptation arguments, we find that asymptotically for large polymers the diffusion coefficient D decreases quadratically with polymer length; for the cage model, the proportionality coefficient is DL^2=0.175(2). Additionally we find that the leading correction term for finite polymer lengths scales as N^{-1/2}, where N=L-1 is the number of bonds.Comment: LaTeX (cjour.cls), 15 pages, 6 figures, added correctness proof of kink representation approac

TWO-POINT ANGULAR CORRELATION FUNCTION FOR THE GREEN BANK 4.85 GHZ SKY SURVEY

This paper presents an angular correlation analysis of the Green Bank 4.85 GHz radio catalog (Gregory \& Condon 1991) of 54,579 sources (S \gsim 25 mJy). The Green Bank catalog is found to be complete to S $\geq$ 35 mJy over 20$^{\circ} \leq \delta < 74^{\circ}$, 0$^h \leq \alpha < 24^h$, and Galactic latitude $|b| \geq 10^{\circ}$. The 2-point angular correlation function shows evidence for the clustering of radio sources, with a power-law distribution consistent with a slope $\gamma = -0.8$. This may well provide the $first$ detection of an angular correlation in a large area, complete deep radio survey.Comment: 14 pages, compressed, uuencoded postscript. Plots and text: anonymous ftp://charon.nmsu.edu/pub/PAPERS/aklypin, apj.uu and apjfigs.u

A boundary object for scale selection-Moderating differences and synergising understanding

Lack of attention to scale selection may limit the utility of multidisciplinary assessments and studies. This paper integrates research on scale from several disciplines to identify commonalities. Boundary objects – flexible enough to appeal and apply to different interest groups, and yet robust enough to maintain core concepts – offer a medium to connect findings from different disciplines. We propose a boundary object on scale — a 3-dimensional framework, whose axes are reality-, model- and data-scale. This framework can be applied to facilitate an improved transdisciplinary understanding of scale and more conscious scale selection that promotes the credibility, salience and legitimacy of decision support systems

'The heart of what we do': policies on teaching, learning and assessment in the learning and skills sector

One of the stated aims of government policy in England is to put teaching, training,and learning at the heart of the learning and skills system. This paper provides a critical review of policies on teaching, learning and assessment in the learning and skills sector over the past five years. It draws upon data collected and analysed in the early stages of an ESRC-funded Teaching and Learning Research Programme project. Using evidence from policy sources, we argue that despite policy rhetoric about devolution of responsibility to the 'front line', the dominant 'images' that government has of putting teaching, learning and assessment at the heart of the Learning and Skills Sector involves a narrow concept of learning and skills; an idealisation of learner agency lacking an appreciation of the pivotal role of the learner/tutor relationship and a top-down view of change in which central government agencies are relied on to secure education standards

Prospects for local co-governance

British local authorities and their partners are increasingly developing new ways of working together with local communities. The nature of this co-working, however, is complex, multi-faceted and little understood. This article argues for greater clarity of thinking on the topic, by analysing this co-working as a form of political co-governance, and drawing attention in particular to issues of scale and democracy. Using evidence from a study of 43 local authority areas, 16 authorities are identified where co-governance is practised, following three main types of approach: service-influencing, service-delivering and parish council developing. It is concluded that strengthening political co-governance is essential for a healthy democracy

Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults:a protocol of the StayFine RCT

INTRODUCTION: Youth in remission of depression or anxiety have high risks of relapse. Relapse prevention interventions may prevent chronicity. Aim of the study is therefore to (1) examine efficacy of the personalised StayFine app for remitted youth and (2) identify high-risk groups for relapse and resilience. METHOD AND ANALYSIS: In this Dutch single-blind parallel-group randomised controlled trial, efficacy of app-based monitoring combined with guided app-based personalised StayFine intervention modules is assessed compared with monitoring only. In both conditions, care as usual is allowed. StayFine modules plus monitoring is hypothesised to be superior to monitoring only in preventing relapse over 36 months. Participants (N=254) are 13–21 years and in remission of depression or anxiety for >2 months. Randomisation (1:1) is stratified by previous treatment (no treatment vs treatment) and previous episodes (1, 2 or >3 episodes). Assessments include diagnostic interviews, online questionnaires and monitoring (ecological momentary assessment with optional wearable) after 0, 4, 12, 24 and 36 months. The StayFine modules are guided by certified experts by experience and based on preventive cognitive therapy and ingredients of cognitive behavioural therapy. Personalisation is based on shared decision-making informed by baseline assessments and individual symptom networks. Time to relapse (primary outcome) is assessed by the Kiddie Schedule for Affective Disorders and Schizophrenia-lifetime version diagnostic interview. Intention-to-treat survival analyses will be used to examine the data. Secondary outcomes are symptoms of depression and anxiety, number and duration of relapses, global functioning, and quality of life. Mediators and moderators will be explored. Exploratory endpoints are monitoring and wearable outcomes. ETHICS, FUNDING AND DISSEMINATION: The study was approved by METC Utrecht and is funded by the Netherlands Organisation for Health Research and Development (636310007). Results will be submitted to peer-reviewed scientific journals and presented at (inter)national conferences. TRIAL REGISTRATION NUMBER: NCT05551468; NL8237

Congruency of multimodal data-driven personalization with shared decision-making for StayFine:individualized app-based relapse prevention for anxiety and depression in young people

Tailoring interventions to the individual has been hypothesized to improve treatment efficacy. Personalization of target-specific underlying mechanisms might improve treatment effects as well as adherence. Data-driven personalization of treatment, however, is still in its infancy, especially concerning the integration of multiple sources of data-driven advice with shared decision-making. This study describes an innovative type of data-driven personalization in the context of StayFine, a guided app-based relapse prevention intervention for 13- to 21-year-olds in remission of anxiety or depressive disorders ( n = 74). Participants receive six modules, of which three are chosen from five optional modules. Optional modules are Enhancing Positive Affect, Behavioral Activation, Exposure, Sleep, and Wellness. All participants receive Psycho-Education, Cognitive Restructuring, and a Relapse Prevention Plan. The personalization approach is based on four sources: (1) prior diagnoses (diagnostic interview), (2) transdiagnostic psychological factors (online self-report questionnaires), (3) individual symptom networks (ecological momentary assessment, based on a two-week diary with six time points per day), and subsequently, (4) patient preference based on shared decision-making with a trained expert by experience. This study details and evaluates this innovative type of personalization approach, comparing the congruency of advised modules between the data-driven sources (1-3) with one another and with the chosen modules during the shared decision-making process (4). The results show that sources of data-driven personalization provide complementary advice rather than a confirmatory one. The indications of the modules Exposure and Behavioral Activation were mostly based on the diagnostic interview, Sleep on the questionnaires, and Enhancing Positive Affect on the network model. Shared decision-making showed a preference for modules improving positive concepts rather than combating negative ones, as an addition to the data-driven advice. Future studies need to test whether treatment outcomes and dropout rates are improved through personalization. </p

Demystifying Governance and its Role for Transitions in Urban Social–Ecological Systems

Governance is key to sustainable urban transitions. Governance is a system of social, power, and decision‐making processes that acts as a key driver of resource allocation and use, yet ecologists—even urban ecologists–seldom consider governance concepts in their work. Transitions to more sustainable futures are becoming increasingly important to the management of many ecosystems and landscapes, and particularly so for urban systems. We briefly identify and synthesize important governance dimensions of urban sustainability transitions, using illustrations from cities in which long‐term social–ecological governance research is underway. This article concludes with a call to ecologists who are interested in environmental stewardship, and to urban ecologists in particular, to consider the role of governance as a driver in the dynamics of the systems they study