400 research outputs found

    Dealing with the experimenter effect

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    Methods in experimental science assume objective facts, and those effects are generally independent of the observer or experimenter. This objectivity assumption is not warranted in the field of human studies. Results of psychological experiments tend to be dependent on among other things the expectations of the experimenter. The experimenter effect together with the replication crisis in social psychology are major issues in experimental parapsychology. We use Houtkooper's Hierarchical Observational Theory to look at a model for dealing with this issue, and conclude that multiple-experimenter projects might be able to sort out experimenter effects from intrinisic effects

    Two Attempted Retro-Priming Replications Show Theory-Relevant Anomalous Connectivity

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    We report a theory-relevant post hoc analysis of two Dutch retro-priming experiments that were part of a large replication project of the retro-priming experiment by Daryl Bem and colleagues. This replication project sought to investigate the role of the experimenter in psi studies. The results of the retro-priming experiments performed by student re- search groups at the University of Amsterdam (N = 61) and the University of Groningen (N = 222) did not, however, replicate Bem’s earlier findings of an anomalous interference of a future stimulus on response times. We report the results of these two studies here, but the overall results will be reported elsewhere. Both Dutch studies used the exact same software as did Bem and colleagues. However, each study used a different questionnaire. The questionnaires asked for information that in previous research had been associated with success in psi tasks and that could help us to deal with in- dividual differences, but above all could be used as selection criteria for participants in future studies. In the Amsterdam study, there were 14 questions, while in the Groningen study there were 55. A correlation analysis revealed several significant correlations between the psi effect in the Bem task and questionnaire items. In this paper we focus on the post-hoc research question: Is this global composition of the correlation matrix anomalous, as suggested by Generalized Quantum Theory? Rather than using the subjective number of ‘significant’ correlations as a dependent variable, we introduced two objective measures directly representing the correlation values in the cells to characterize the ‘Connectivity’ in the matrix. Our analy- sis revealed ‘Connectivity’ to be marginally significantly larger (p < 0.075) in the Groningen study and significantly larger in the Amsterdam study (p < 0.025). These results are discussed in the framework of the Consciousness Induced Restoration of Time Symmetry (CIRTS) theory and the Generalized Quantum Theory (GQT) that predict that as soon as there are reasons to expect replicability (or control) the extra chance psi scores will disappear or reverse. The conclusion is that these results can be seen as support, though statistically not strong, for the GQT

    The LIAISE approach for co-designing knowledge on impact assessment tools

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    Impact Assessment (IA) intends to collect evidence on the likely impacts of new policies and thereby minimize unwanted side-effects and maximize the benefits to society. Although it is a requirement in the EC and all OECD countries, the scope and methods vary considerably. Governments have invested considerably in research to support the evidence basis of policy making for sustainable development. However, the general picture shows a gap between the proliferation of IA tools from the scientific community and their actual use in the policy process. The FP7 network of excellence LIAISE (www.liaise- noe.eu) is designed to identify the causes for non-use of IA tools and bridge the gaps between researchers with a generally strong orientation towards their (disciplinary) peers and practitioners who tend to focus on their policy domain and policy problems. LIAISE aims at: 1) understanding of the policy process and the resulting needs for IA knowledge and IA tools; 2) description of IA tools and scientific IA expertise in a standardised way; 3) a shared IA toolbox targeted at the needs of both researchers and practitioners; 4) a shared IA research agenda integrating scientific knowledge gaps and the priorities for the development of new IA knowledge that arise from the future policy agenda; and 5) safeguarding the project results beyond the period of project funding, by developing an institutional setting and a business plan that facilitate the extension of the present consortium towards a broad centre of IA expertise with a structural permanence. A lively interaction between the different communities involved, is essential to realize these objectives. The Berlin Conference is an important opportunity to inform external research groups about the LIAISE approach to bridging the gap between science and policy. Their feedback and views on possible next steps in the further integration of the IA research community are highly valued, as well as their interest to become involved in this process

    The LIAISE approach to unite researchers and practitioners in a community of experts on impact assessment

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    Impact Assessment (IA) intends to collect evidence on the likely impacts of new policies and thereby minimize unwanted side-effects and maximize the benefits to society. Although it is a requirement in the EC and all OECD countries, the scope and methods vary considerably. Governments have invested considerably in research to support the evidence basis of policy making for sustainable development. However, the general picture shows a gap between the proliferation of IA tools from the scientific community and their actual use in the policy process. The FP7 network of excellence LIAISE (www.liaise- noe.eu) is designed to identify the causes for non-use of IA tools and bridge the gaps between researchers with a generally strong orientation towards their (disciplinary) peers and practitioners who tend to focus on their policy domain and policy problems. LIAISE aims at: 1) understanding of the policy process and the resulting needs for IA knowledge and IA tools; 2) description of IA tools and scientific IA expertise in a standardised way; 3) a shared IA toolbox targeted at the needs of both researchers and practitioners; 4) a shared IA research agenda integrating scientific knowledge gaps and the priorities for the development of new IA knowledge that arise from the future policy agenda; and 5) safeguarding the project results beyond the period of project funding, by developing an institutional setting and a business plan that facilitate the extension of the present consortium towards a broad centre of IA expertise with a structural permanence. A lively interaction between the different communities involved, is essential to realize these objectives. The Berlin Conference is an important opportunity to inform external research groups about the LIAISE approach to bridging the gap between science and policy. Their feedback and views on possible next steps in the further integration of the IA research community are highly valued, as well as their interest to become involved in this process

    O uso das novas tecnologias nas aulas de Geografia para a melhoria do ensino e aprendizagem em escolas de ensino básico

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    Este trabalho tem como objetivo apresentar a importância do uso das novas tecnologias como instrumento para a melhoria do ensino e aprendizagem em Geografia. A atividade foi realizada em duas escolas do ensino básico na cidade de Fortaleza no ano 2014, onde se desenvolveram práticas com o uso de recursos tecnológicos, tais como a plataforma Moodle, criação e reprodução de slides, além de vídeos, havendo uma maior socialização e produção de conhecimentos e uma nova forma de conduzir as aulas de Geografia. Podemos perceber a importância e os desafios quanto ao uso das novas tecnologias

    Collaborative autoethnography and reclaiming an African episteme: investigating “customary” ownership of natural resources

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    Collaborative autoethnography can function as a means of reclaiming certain African realities that have been co-opted by colonial epistemes and language. This can be significant in very concrete ways: northern Uganda is suffering a catastrophic loss of tree cover, much of which is taking place on the collective family landholdings that academia and the development sector have categorized as “customary land.” A collaboration by ten members of such landholding families, known as the Acholi Land Lab, explores what “customary ownership” means to them and their relatives, with a view to understanding what may be involved in promoting sustainable domestic use of natural resources, including trees

    Histological variation of early stage atherosclerotic lesions in baboons after prolonged challenge with high-cholesterol, highfat diet

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    Introduction—The baboon is a well-characterized model of human early stage atherosclerosis. However, histological and morphological changes involved in atherogenesis in baboons are not known. Previously we challenged baboons with a high-cholesterol, high-fat diet for two years and observed fatty streak and plaque lesions in iliac arteries (RCIA). Methods—We evaluated histological and morphological changes of baboon arterial lesions and control arteries. In addition, we evaluated the vascular expression of CD68 and SMαA markers with progression of atherosclerosis. Results—We observed changes that correlated with extent of atherosclerosis, including increased maximum intimal thickness. We demonstrated at molecular level the infiltration of smooth muscle cells and macrophages into the intimal layer. Further, we observed histological and morphological discordancy between the affected and adjacent areas of the same RCIA. Conclusion—Atherogenesis in baboons is accompanied by histological, morphological and molecular changes, as in humans, providing insights to evaluate the mechanisms underlying early stage atherosclerosis in target tissues

    Elastomeric Sensing of Pressure with Liquid Metal and Wireless Inductive Coupling

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    This project describes resistance-based soft sensors filled with liquid metal, which permit measurements of large strains (0 percent to 110 percent), associated with small forces of less than 30 Newtons. This work also demonstrates a methodology for wireless transfer of these strain measurements without connected electrodes. These sensors allow intermittent detection of pressure on soft membranes with low force. Adapting these sensors for passive wireless pressure sensing will eliminate the need for embedded batteries, and will allow the sensors to transmit pressure data through non-conductive materials including glass and acrylic. The absence of batteries allows us to embed these sensors into materials for long-term use because the sensors only use passive analog circuit elements. We found the oxidation of the liquid metal (eutectic gallium indium) plays a role in the repeatability of the soft sensors. We investigated how the oxidation layer affected the behavior of the sensor by encapsulating materials (silicone, fluorosilicone, and PVC) with varied permeabilities to oxygen. We measured the effects of mechanical loading on the oxidation layer and the effects of wireless inductive coupling on the oxidation layer. We concluded our research by investigating the effects of embedding self-resonant circuits into polydimethylsiloxane (PDMS). Efforts to design engineered systems with soft materials are a growing field with progress in soft robotics, epidermal electronics, and wearable electronics. In the field of soft robotics, PDMS-based grippers are capable of picking up delicate objects because their form-fitting properties allow them to conform to the shape of objects more easily than conventional robotic grippers. Epidermal devices also use PDMS as a substrate to hold electronic components such as radios, sensors, and power supply circuits. Additionally, PDMS-based soft sensors can monitor human motion with liquid metal embedded within micro-channels. Passive wireless sensors have applications in structural health monitoring and medical health monitoring. Doctors can take wireless blood pressure measurements inside arteries to monitor the progression of heart disease. Glaucoma patients can use this technology to monitor the pressure in their eyes to track the progression of the disease
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