Compactness vs. Sprawl Revisited: Converging Views

This paper examines the relative merits of compact cities or urban sprawl (suburban settlement patterns) as a spatial solution to environmental problems (such as climate control), automobile dependence, economic development, infrastructure costs and the quality of urban life

Bayesian Varying-Effects Vector Autoregressive Models for Inference of Brain Connectivity Networks and Covariate Effects in Pediatric Traumatic Brain Injury

In this article, we develop an analytical approach for estimating brain connectivity networks that accounts for subject heterogeneity. More specifically, we consider a novel extension of a multi-subject Bayesian vector autoregressive model that estimates group-specific directed brain connectivity networks and accounts for the effects of covariates on the network edges. We adopt a flexible approach, allowing for (possibly) nonlinear effects of the covariates on edge strength via a novel Bayesian nonparametric prior that employs a weighted mixture of Gaussian processes. For posterior inference, we achieve computational scalability by implementing a variational Bayes scheme. Our approach enables simultaneous estimation of group-specific networks and selection of relevant covariate effects. We show improved performance over competing two-stage approaches on simulated data. We apply our method on resting-state functional magnetic resonance imaging data from children with a history of traumatic brain injury (TBI) and healthy controls to estimate the effects of age and sex on the group-level connectivities. Our results highlight differences in the distribution of parent nodes. They also suggest alteration in the relation of age, with peak edge strength in children with TBI, and differences in effective connectivity strength between males and females

Suitability and acceptability of the Carer Support Needs Assessment Tool (CSNAT) for the assessment of carers of people with MND: a qualitative study

Objectives: Motor neurone disease (MND) is a progressive, life-limiting illness. Caregiving impacts greatly on family carers with few supportive interventions for carers. We report Stages 1 and 2 of a study to: (1) explore experiences of MND caregiving and use carer-identified support needs to determine suitability and acceptability of the Carer Support Needs Assessment Tool (CSNAT), (2) adapt the CSNAT as necessary for comprehensive assessment and support of MND carers, prior to (Stage 3) feasibility testing. Design: Qualitative: focus groups, interviews and carer workshops. Setting: Three UK MND specialist centres serving a wide range of areas. Participants: Stage 1: 33 carers, 11 from each site: 19 current carers, 14 bereaved. Stage 2: 19 carer advisors: 10 bereaved, 9 current carers. Majority were spouses/partners ranging in age from under 45 years to over 75 years. Duration of caring: 4 months to 12.5 years. Results: Carers described challenges of a disease that was terminal from the outset, of ‘chasing’ progressive deterioration, trying to balance normality and patient independence against growing dependence, and intensive involvement in caregiving. Carers had extensive support needs which could be mapped to existing CSNAT domains: both ‘enabling’ domains which identify carers’ needs as co-workers as well as carers’ ‘direct’ needs as clients in relation to their own health and well-being. Only one aspect of their caregiving experience went beyond existing domains: a new domain on support needs with relationship changes was identified to tailor the CSNAT better to MND carers. Conclusions: Carers of people with MND found the adapted CSNAT to be an appropriate and relevant tool for assessment of their support needs. The revised version has potential for assessment of carers in other longer-term caring contexts. A further paper will report the Stage 3 study on feasibility of using the adapted CSNAT in routine practice

Trimetallaborides as starting points for the syntheses of large metal-rich molecular borides and clusters

Treatment of an anionic dimanganaborylene complex ([{Cp(CO)2Mn}2B]–) with coinage metal cations stabilized by a very weakly coordinating Lewis base (SMe2) led to the coordination of the incoming metal and subsequent displacement of dimethylsulfide in the formation of hexametalladiborides featuring planar four-membered M2B2 cores (M = Cu, Au) comparable to transition metal clusters constructed around four-membered rings composed solely of coinage metals. The analogies between compounds consisting of B2M2 units and M4 (M = Cu, Au) units speak to the often overlooked metalloid nature of boron. Treatment of one of these compounds (M = Cu) with a Lewis-basic metal fragment (Pt(PCy3)2) led to the formation of a tetrametallaboride featuring two manganese, one copper and one platinum atom, all bound to boron in a geometry not yet seen for this kind of compound. Computational examination suggests that this geometry is the result of d10-d10 dispersion interactions between the copper and platinum fragments

Mathematicians’ Central Role in Educating the STEM Workforce

In the recent report Engage to Excel,1 President Obama’s Council of Advisors on Science and Technology (PCAST) identifies mathematics as a bottleneck in undergraduate Science, Technology, Engineering, and Mathematics (STEM) education. Among PCAST’s recommendations are ones calling for the development and teaching of college-level mathematics courses “by faculty from mathematics-intensive disciplines other than mathematics” and for “a new pathway for producing K–12 mathematics teachers…in programs in mathematics-intensive fields other than mathematics.”2 While we are in sharp disagreement with these specific recommendations, we do share PCAST’s concern for the state of STEM education. We encourage the mathematics community to focus constructively on the broad view the report sketches. We appeal to the community to amplify its communications with other STEM disciplines, to publicize its teaching innovations, and to redouble its efforts to meet the challenges discussed by PCAST

Strategies designed to help healthcare professionals to recruit participants to research studies.

BACKGROUND: Identifying and approaching eligible participants for recruitment to research studies usually relies on healthcare professionals. This process is sometimes hampered by deliberate or inadvertent gatekeeping that can introduce bias into patient selection. OBJECTIVES: Our primary objective was to identify and assess the effect of strategies designed to help healthcare professionals to recruit participants to research studies. SEARCH METHODS: We performed searches on 5 January 2015 in the following electronic databases: Cochrane Methodology Register, CENTRAL, MEDLINE, EMBASE, CINAHL, British Nursing Index, PsycINFO, ASSIA and Web of Science (SSCI, SCI-EXPANDED) from 1985 onwards. We checked the reference lists of all included studies and relevant review articles and did citation tracking through Web of Science for all included studies. SELECTION CRITERIA: We selected all studies that evaluated a strategy to identify and recruit participants for research via healthcare professionals and provided pre-post comparison data on recruitment rates. DATA COLLECTION AND ANALYSIS: Two review authors independently screened search results for potential eligibility, read full papers, applied the selection criteria and extracted data. We calculated risk ratios for each study to indicate the effect of each strategy. MAIN RESULTS: Eleven studies met our eligibility criteria and all were at medium or high risk of bias. Only five studies gave the total number of participants (totalling 7372 participants). Three studies used a randomised design, with the others using pre-post comparisons. Several different strategies were investigated. Four studies examined the impact of additional visits or information for the study site, with no increases in recruitment demonstrated. Increased recruitment rates were reported in two studies that used a dedicated clinical recruiter, and five studies that introduced an automated alert system for identifying eligible participants. The studies were embedded into trials evaluating care in oncology mainly but also in emergency departments, diabetes and lower back pain. AUTHORS' CONCLUSIONS: There is no strong evidence for any single strategy to help healthcare professionals to recruit participants in research studies. Additional visits or information did not appear to increase recruitment by healthcare professionals. The most promising strategies appear to be those with a dedicated resource (e.g. a clinical recruiter or automated alert system) for identifying suitable participants that reduced the demand on healthcare professionals, but these were assessed in studies at high risk of bias.We would like to acknowledge the support of the Methodology theme of theCancer ExperiencesCollaborative (CECo), who have supported this review.This is the final published version. It first appeared at http://onlinelibrary.wiley.com/doi/10.1002/14651858.MR000036.pub2/abstract

Granulocyte Macrophage Colony-Stimulating Factor: A New Putative Therapeutic Target in Multiple Sclerosis

Experimental autoimmune encephalomyelitis (EAE), a model for multiple sclerosis, can be induced by immunization with a number of myelin antigens. In particular, myelin oligodendrocyte glycoprotein, a central nervous system (CNS)-specific antigen expressed on the myelin surface, is able to induce a paralytic MS-like disease with extensive CNS inflammation and demyelination in several strains of animals. Although not well understood, the egress of immune cells into the CNS in EAE is governed by a complex interplay between pro and antiinflammatory cytokines and chemokines. The hematopoietic growth factor, granulocyte macrophage colony-stimulating factor (GM-CSF), is considered to play a central role in maintaining chronic inflammation. The present study was designed to investigate the previously unexplored role of GM-CSF in autoimmune-mediated demyelination. GM-CSF−/− mice are resistant to EAE, display decreased antigen-specific proliferation of splenocytes, and fail to sustain immune cell infiltrates in the CNS, thus revealing key activities for GM-CSF in the development of inflammatory demyelinating lesions and control of migration and/or proliferation of leukocytes within the CNS. These results hold implications for the pathogenesis of inflammatory and demyelinating diseases and may provide the basis for more effective therapies for inflammatory diseases, and more specifically for multiple sclerosis

Synthesis and characterization of a mercury-containing metalloborylene

The reaction of phenylmercuric chloride with an anionic dimanganaborylene [Cp2(CO)4Mn2B]Na led to the formation and isolation of a trimetalloborylene featuring at previously unreported bond between mercury and a single boron atom. Examination by 199Hg NMR displayed a small 11B-199Hg scalar coupling (J = 103 Hz), confirming the electronic interaction of the two atoms. The use of ETS-NOCV analysis indicated the nature of bonding to be σ-donation from a B-Mn π-orbital to Hg, in conjunction with weak Hgd→π* back-donation