328 research outputs found

    Territorializing spatial data: Controlling land through One Map projects in Indonesia and Myanmar

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    Once confined to paper, national cartographic projects increasingly play out through spatial data infrastructures such as software programs and smartphones. Across the Global South, foreign donor-funded digital platforms emphasize transparency, accountability and data sharing while echoing colonial projects that consolidated statebased territorial knowledge. This article brings political geography scholarship on state and counter-mapping together with new work on the political ecology of data to highlight a contemporary dimension of territorialization, one in which state actors seek to consolidate and authorize national geospatial information onto digital platforms. We call attention to the role of data infrastructures in contemporary resource control, arguing that territorializing data both extends state territorialization onto digital platforms and, paradoxically, provides new avenues for non-state actors to claim land. Drawing on interviews, document review, and long-term fieldwork, we compare the origins, institutionalization and realization of Indonesia and Myanmar’s ‘One Map’ projects. Both projects aimed to create a government-managed online spatial data platform, building on national mapping and management traditions while responding to new international incentives, such as climate change mitigation in Indonesia and good democratic governance in Myanmar. While both projects encountered technical difficulties and evolved during implementation, different national histories and political trajectories resulted in the embrace and expansion of the program in Indonesia but reluctant participation and eventual crisis in Myanmar. Together, these cases show how spatial data infrastructures can both extend state control over space and offer opportunities for contesting or reimagining land and nation, even as such infrastructures remain embedded in local power relations

    Being honest with causal language in writing for publication

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    The misleading use of causal language in publication is problematic for authors, reviewers and consumers of the information. Published research in quality journals has important knowledge implications and it is, therefore, contingent on authors to use language that is accurate and appropriate to their work. Language implying unsupported causal relationships may overstate the evidence-base, especially if accepted by uncritical readers or unwitting members of the general public who may not understand how to interpret inferential statistics

    Exploratory factor analysis and principal component analysis in clinical studies: Which one should you use?

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    Factor analysis covers a range of multivariate methods used to explain how underlying factors influence a set of observed variables. When research aims to identify these underlying factors, exploratory factor analysis (EFA) is used. In contrast, when the aim is to test whether a set of observed variables represents the underlying factors, in accordance with an existing conceptual basis, confirmatory factor analysis is performed. EFA has many similarities with a commonly used data reduction technique called principal component analysis (PCA). These similarities, along with using the related terms factor and component interchangeably, contribute to confusion in analysis. The difficulty in identifying the appropriate use of statistical methods and their application and interpretation impacts clinical and research implications (Beavers et al., 2013; Tabachnick & Fidell, 2001). We acknowledge previous articles in nursing journals offering guidance on the use of factor analysis (Gaskin & Happell, 2014; Watson & Thompson, 2006)

    Using risk and odds ratios to assess effect size for meta-analysis outcome measures

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    Best practice is built on the principle of aggregating all available evidence on a topic to make a clinical decision on the most appropriate intervention for the situation at hand. Systematic reviews and meta-analyses are powerful tools that summarize the evidence for current best practice guidelines for the available interventions for a particular problem (Moher, Liberati, Tetzlaff, & Altman, 2009). Meta-analysis combines the results of multiple studies to produce an aggregated and more precise estimates of the benefits of the interventions. Meta-analysis of high-quality randomized trials is considered the highest level of evidence to inform practice

    The schizophrenia susceptibility gene neuregulin 1 modulates tolerance to the effects of canabinoids

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    Cannabis increases the risk of schizophrenia in genetically vulnerable individuals. In this study we aim to show that the schizophrenia susceptibility gene neuregulin 1 (Nrg1) modulates the development of tolerance to cannabinoids in mice. Nrg1 heterozygous (HET) and wild-type (WT) mice were treated daily for 15 d with the synthetic analogue of D9-tetrahydrocannabinol, CP55,940 (0.4 mg/kg). We measured the impact of this exposure on locomotor activity, anxiety, prepulse inhibition (PPI), body temperature and FosB/DFosB immunohistochemistry. Tolerance to CP55,940-induced hypothermia and locomotor suppression developed more rapidly in Nrg1 HET mice than WT mice. Conversely in the light-dark test, while tolerance to the anxiogenic effect of CP55,940 developed in WT mice over days of testing, Nrg1 hypomorphs maintained marked anxiety even after 15 d of treatment. Repeated cannabinoid exposure selectively increased FosB/DFosB expression in the lateral septum, ventral part (LSV) of Nrg1 HET but not WT mice. On day 1 of exposure opposite effects of CP55,940 treatment were observed on PPI, i.e. it was facilitated in Nrg1 hypomorphs and impaired in WT mice, despite the drug significantly impairing the acoustic startle reflex equally in both genotypes. These effects of CP55,940 on PPI were not maintained as both genotypes became tolerant to cannabinoid action with repeated exposure. Our results highlight that Nrg1 modulates the development of cannabinoid tolerance dependent on the parameter being measured. Furthermore, these data reinforce the notion that the VLS is an important brain region involved in Nrg1–cannabinoid interactions

    Summary of the High Ice Water Content (HIWC) RADAR Flight Campaigns

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    NASA and the FAA conducted two flight campaigns to quantify onboard weather radar measurements with in-situ measurements of high concentrations of ice crystals found in deep convective storms. The ultimate goal of this research was to improve the understanding and develop onboard weather radar processing to detect regions of high ice water content ahead of an aircraft and enable tactical avoidance of the potentially hazardous conditions. Both High Ice Water Content (HIWC) RADAR campaigns utilized the NASA DC-8 Airborne Science Laboratory which was equipped with a Honeywell RDR-4000 weather radar and icing instruments to characterize the ice crystal clouds. The purpose of this paper is to summarize how these campaigns were conducted and highlight key results

    Summary of the High Ice Water Content (HIWC) RADAR Flight Campaigns

    Get PDF
    NASA and the FAA (Federal Aviation Administration) conducted two flight campaigns to quantify onboard weather radar measurements with in-situ measurements of high concentrations of ice crystals found in deep convective storms. The ultimate goal of this research was to improve the understanding and develop onboard weather radar processing to detect regions of high ice water content ahead of an aircraft and enable tactical avoidance of the potentially hazardous conditions. Both High Ice Water Content (HIWC) RADAR campaigns utilized the NASA DC-8 Airborne Science Laboratory which was equipped with a Honeywell RDR-4000 weather radar and icing instruments to characterize the ice crystal clouds. The purpose of this paper is to summarize how these campaigns were conducted and highlight key results

    Student Satisfaction and Performance in an Online Teacher Certification Program

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    The article presents a study which demonstrates the effectiveness of an online post baccalaureate teacher certification program developed by a Wisconsin university. The case method approach employing multiple methods and multiple data sources were used to investigate the degree to which pre-service teachers were prepared to teach. It was concluded that the study supports online delivery as an effective means of teacher preparation, but it was limited in the number of students followed into their first year of teaching
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