33 research outputs found
Effects of Implicit and Explicit Instruction on Learning Adjective Order
No full textThis study tests the effect of implicit and explicit instruction in the learning of the order of adjectives for advanced second language learners of English. Ten participants were randomly divided into two groups of five each. The first group was shown grammatically correct and incorrect sentences, but were not given the details as to how the sentences were grammatically correct or incorrect. This was the group that received implicit instructions. The second group was given the same work sheet, but also received explicit instructions detailing the correct order of adjectives. Following two trails rounds, both groups were given tests with 15 tasks to assess correct placement of adjectives in a sentence. Results showed that those who received explicit instructions performed twice as well as those who received implicit instructions, making only five mistakes in total (33%), as opposed to ten mistakes made by those who had implicit instructions (66%). The most common mistakes were related to placement of the adjectives used for “opinion” and “physical quality”. The study supported the hypothesis that explicit instruction was more effective than implicit instruction in learning adjective order
Anatomy lessons
No full textThe microcosm of the human body, like the great rhythm of the universe, is silent, intricate, delicately balanced. Anatomy supports Physiology as organs and tissues connect, communicate and nourish life. In illness, they speak through the patient's history. Even in this era of cutting-edge technology, the clinical history remains the foundation of palliative and patient centred care. In listening to Anatomy speak, we understand how and where the body hurts. In health and infirmity, may we also marvel at the human form we touch and inhabit - so carefully, fearfully and wonderfully made.</jats:p
Towards an open data research ecosystem in Croatia
No full textOpen data initiatives have resulted in greater availability of data, thereby realising ambitions such as improved efficiency and effectiveness of public services, increased transparency, accountability and citizen participation, and economic and social value creation. Open data research is a crucial component in creating and accelerating sustainable and innovative open data ecosystems. However, not all countries equally progress with regard to implementing open data policies and some countries are falling behind. The project Twinning Open Data Operational (TODO) examines which strategy can boost the open data ecosystem of countries that are just beginning to develop open data policies. We are developing and implementing an interdisciplinary multi-domain open data research approach to increase the maturity of the concept and impact of the open data ecosystem in Croatia and beyond. This paper lays down the strategy to arrive at a sustainable open data research ecosystem in open data beginners countries.Geo InformationInformation and Communication Technolog
Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs
No full textOpen government data initiatives are part of the endeavor process of governments to show that they are accountable and transparent organizations. Opening more datasets to external data analytics providers or other government organizations holds the potential to help governments to improve their processes by promoting a better understanding and enhancing the decision-making. Nevertheless, the decision-making to disclose datasets is challenging. Decision-makers often refuse to open their datasets due to several potential risks. In situations like the Dutch Customs, a dataset can contain competitive sensitive data, and multiple parties have to agree to open it. Given this complex situation, in this paper, we test a Bayesian-belief Network method for supporting the decision to open data. Our work contributes to Customs in their efforts to disclose more datasets and helping decision-makers in the process of evaluating data and defining strategies of how to move from closed to open decisions.Information and Communication Technolog
Collective Data Analytics Capability Building Processes: a Governance Model
No full textCollective data analytics capability building offers opportunities for government organizations to develop capabilities that would be difficult to develop on their own. However, research on that topic is scarce and there is still a limited understanding of how collective data analytics capability building processes contribute to the value realization of the individual participating organizations. In this paper, drawing from the governance literature and by analyzing a case study from the customs domain we develop a governance model that allows to analyze collective data analytics capability building processes. Our governance model is a contribution to the literature on the use of data analytics in government, with the specific focus on understanding the collective data analytics capability building processes. For practitioners, the model can be used for identifying scenarios for engaging in collective data analytics initiatives in a multi-level context.Information and Communication Technolog
Polarimetric calibration of spaceborne and airborne multifrequency SAR data for scattering-based characterization of manmade and natural features
No full textThe Polarimetric Synthetic Aperture Radar (PolSAR) systems use electromagnetic radiations of different polarizations in the microwave frequency to collect the scattering information from targets on the Earth. Nevertheless, as with any other electronic device, the PolSAR systems are also not ideal and subjected to distortions. The most important of these distortions are the polarimetric distortions caused due to the channel imbalance, phase bias, and crosstalk between the different polarization channels. For the spaceborne PolSAR systems, the Earth's ionosphere also contributes to an additional polarimetric distortion known as the Faraday rotation. An effort was made in this study to perform the polarimetric calibration of the Quad-pol and Compact-pol PolSAR datasets acquired using different airborne and spaceborne PolSAR systems to estimate and minimize these polarimetric distortions. The investigation was also done to analyze the impact of these polarimetric distortions on the scattering mechanisms from ground targets and on its dependency on the radar wavelength. The study was done using the UAVSAR L-band Quad-pol dataset, RADARSAT-2 Quad-pol dataset, ALOS-2 PALSAR-2, ISRO's L&S- Band Airborne SAR (LS-ASAR) Quad-pol and Compact-pol datasets, and the RISAT-1 Compact-pol dataset. Calibration of the airborne PolSAR data was carried to understand the level of polarimetric distortions in the LS-ASAR product that is a precursor mission to the spaceborne Dual-Frequency L&S Band NASA-ISRO Synthetic Aperture Radar (NISAR) mission. It is understood that the crosstalk is the dominant polarimetric distortion, which severely affects the PolSAR datasets compared to the other polarimetric distortions, and it is more for the higher wavelength PolSAR systems. The Quegan, Improved Quegan, and Ainsworth algorithms for crosstalk estimation and minimization was performed for the different Quad-pol datasets and it was found that the Improved Quegan algorithm is suitable for removing crosstalk from datasets having high crosstalk and the Ainsworth algorithm is suitable for removing crosstalk from datasets having low crosstalk. The Freeman method of the polarimetric calibration was implemented for the compact-pol datasets and it was able to considerably minimize the polarimetric distortions. The coherency matrix, scattering matrix, model-based decomposition, polarimetric signatures, and roll invariant parameter-based analysis revealed that all the datasets after polarimetric calibration were showing the correct scattering responses expected from the ground targets.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Mathematical Geodesy and PositioningPhysical and Space Geodes
Budhan Stories S1E2: Corona took many lives
No full textEpisode 2 of Season 1 is based on deaths happening in Chharanagar. During the first wave, Chharanagar people lost many lives due to Corona disease. The young Advocate Umesh Tamaychi was the first person who died in the civil hospital as during that time private hospitals were not allowed to treat Corona patients. After him so many others also died in Chharanagar. The episode focuses on those families who lost their near and dear ones.Directed (Author) by: Budhan Theatre Team. Participants: Dakxin Chhara, Atish Indrekar, Ruchika Kodekar, Chetna Rathod, Kushal Batunge, Keyur Bajrange, Anish Garange, Siddharth Garange, Umesh Tamaychi, Shefali Tamaychi, Dr Surya Bali, Bhopal, Akshay Khanna, Alice TilcheSupplementary materials include shortclips, poster and subtitles.</p
SPIDER: open SPatial data Infrastructure eDucation nEtwoRk
No full textIn this 2 hour workshop the experiences of the geographic data domain will be shared with the open data research & education community to promote and strengthen active innovative learning and teaching in both worlds. The domain of geographic data can be considered as one of the front running in open data. Over the past two decades, many geographic datasets in Europe became available as open data through the open [spatial] data infrastructure. Several of the high value dataset categories in the EU Directive on Open data and reuse of Public Sector Information have a geographic component. Teachers in this domain are struggling with the concepts of data ecosystems and data infrastructures presented in the academic literature. A very current Vancauwenberghe et al. 2018), in which also nongovernment data and nongovernment actors should be considered as key to the performance of the infrastructure and/or ecosystem. Moreover, teaching methods are still limited to traditional teaching in the classroom. As a consequence, there is barely an international exchange of educational material and approaches on open SDI among universities. In this workshop an overview and detailed analysis of the concepts of open data ecosystems and infrastructures are presented and discussed and existing open data education highlighting good practices of learning, teaching and training in open [spatial] data infrastructures or ecosystems explored.Geo Informatio
BPMN Tools - A Comparative Analysis to Improve Interoperability
No full textThe purpose of this research study was to investigate whether the interoperability across different vendor implementations of the BPMN 2.0 standard can be improved. The study attempted to identify significant discrepancies in the process modeling and execution notations as supported by three BPMN modeling tools with respect to the BPMN 2.0 specification. The three BPMN 2.0 tools included MID Innovator for Business Analysts, Activiti BPM Platform, and Trisotech BPMN 2.0 Modeler for Visio. An evaluation framework was used to compare the selected tools based on three classes of BPMN 2.0 objects – SIMPLE, STANDARD, and COMPLETE. Furthermore, the study tested the ability of the three tools to exchange process models in order to improve the interoperability across the tools. It was observed that there are noteworthy differences between the three tools with respect to their support for BPMN 2.0 notations and the corresponding XML process definition formats. As a result, none of the three tools can seamlessly exchange process models. Attempts were made through this study to modify the XML process model definitions to enable sharing of process models between the tools. Thus, the author identified gaps between the tools and suggested ways for bridging the identified gaps, consequently facilitating the exchange of process models. The research focused on enhancing interoperability and discusses its necessity in domains such as supply chain management (SCM), customer relationship management (CRM), enterprise resource planning (ERP), and electronic commerce (E-commerce)
