179,556 research outputs found

    RFLPtools: Tools To Analyse RFLP Data. R package version 2.0

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    R Package RFLPtools: Tools to analyse RFLP data. Provides functions to analyse DNA fragment samples (i.e. derived from RFLP-analysis) and standalone BLAST report files (i.e. DNA sequence analysis)

    Extending Bianchi's classification of homogeneous three-manifolds

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    A few of the Bianchi types of homogeneous cosmologies described by three-dimensional groups of motions G(3) with transitive actions on three- manifolds were extended to those involving transitive groups of motions G(r) with additional dimensions of four-manifolds. In order to extend a three-manifold metric which admits the Bianchi type N (N=I, II, V, IX) to that of four-manifold, the group G(r) was chosen

    Radicalization: an educational approach

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    This chapter aims to discuss the possibility of applying educational principles of Transformative Learning Theory to understand and eventually prevent violent radicalization. To begin, keywords – radicalization, extremism, and terrorism – are briefly presented to draw and limit the spaces usable for understanding this complex debate. Next, some space is dedicated to the correlation between Transformative Learning Theory and radicalization. Finally, a short biography is used as a case study to describe how everyday life can generate an environment where people can learn how to think radically and eventually risk transforming these thoughts into violent acts

    Study of Pakistan pilot project farmer-leaders to Nepal

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    Farmer participation / Irrigation management / Farmer managed irrigation systems / Irrigated farming / Sustainable agriculture / Institution building / Pakistan

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dataset acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.

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    • The data provided in this paper provides can be used for efficient monitoring and control of the power generation and distribution processes in the smart grid. • The data provided in this paper can be used for the integration of distributed power generation sources into the power transmission and distribution systems within realistic network scenarios. • It can also support reliable and dynamic data capacity requirements of different types of advanced cyber-physical systems equipped with sensors and devices to operate them optimally, either manual or automatic controls, and provide information about their operations to the utilities. • In case of faults, the designed scheme intelligently monitoring and identifies the faulty systems located in a remote position and notifies the user in real-time, so that appropriate actions can be taken to supply steady electricity to the customers

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Modelling the Water-Energy-Food-Ecosystem Nexus for integrated and sustainable resource management in Sardinia region

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    Water, energy, food, and ecosystem security serve as the main pillars of sustainable development, deeply linked in a way that shapes economic growth, human well-being and environmental balance. Sector-specific frameworks often neglect the intersectoral links resulting in fragmented solutions that lead to inefficiencies, unforeseen consequences and unsustainable outcomes that weaken the resilience of interdependent sectors. The compound uncertainty due to shift in climate extreme, socio-economic imbalance, and increasing resource demand intensified the issue related to the Water, Energy, Food and Ecosystem sectors. The integrated approach “nexus” provides the understanding of complex intersectoral systems, enhance the synergies and minimize trade-offs to optimise the efficiency of resources. The main aim of this thesis is to enhance sustainable resource management, particularly focusing on the WEFE Nexus under historical conditions and projected changes in climate. The thesis is divided into two parts to obtain these objectives, beginning with chapter 2 where a comprehensive assessment of the Water-Food (WF) Nexus in the Sardinia region is carried on. This objective was achieved by utilizing the Simulation of Evapotranspiration of Applied Water model integrated with GIS libraries (SIMETAW_GIS), i.e., the crop-water-soil balance model used to accurately estimate the crop water demand and quantify the yield losses due to water stress under historical and future projections. The modelling of crop water demand and the effect of water scarcity on crops delivers critical perceptions for the policymakers that can support the management of water resources and form the foundation for adaptation management strategies in the Sardinia region. Chapter 3 expands the WF Nexus to a more holistic Water-Energy-Food-Ecosystem Nexus analysis utilizing both qualitative and quantitative tools to understand and assess the complexity of the intertwined nature of WEFE systems with a special focus on seven hydrographic subbasins of Sardinia region. The qualitative tools Hoff WEF Nexus analytical framework and Causal Loop Diagram (CLD) were utilized to capture and explore the key linkages between water, energy, food, and ecosystem sectors. The novel quantitative tool R-WEFE Nexus platform was validated and coupled with climate change and socio-economic scenarios to investigate the nexus behaviour under various scenario conditions and policy frameworks. The policies were assessed against predefined thresholds to test the effective resource management and ensure the sustainability of sectoral strategies with sustainability goals. The study identifies favorable and unfavorable trajectories offering strategic recommendations for better nexus performance. These include adaptive strategies for enhancing water resource management, tourism management, sustainable land management, decarbonizing the economy by increasing the proportion of renewable energy, agriculture resilience, and ensuring ecosystem integrity. The multiple policies were tested in R-WEFE Nexus platform effectively addressing the compound uncertainty stemming from socio-economic shift and hydroclimate variability intensified by changes in climate conditions. The thesis provided valuable findings and recommendations, particularly focusing on the holistic WEFE sectors of Sardinia Island. The application of the SIMETAW_GIS model and R-WEFE Nexus platform effectively assessed the W-F Nexus and WEFE Nexus sectors respectively. Projected changes in socio-economic and climate change highlight the increasing uncertainty in the WEFE sectors.Water, energy, food, and ecosystem security serve as the main pillars of sustainable development, deeply linked in a way that shapes economic growth, human well-being and environmental balance. Sector-specific frameworks often neglect the intersectoral links resulting in fragmented solutions that lead to inefficiencies, unforeseen consequences and unsustainable outcomes that weaken the resilience of interdependent sectors. The compound uncertainty due to shift in climate extreme, socio-economic imbalance, and increasing resource demand intensified the issue related to the Water, Energy, Food and Ecosystem sectors. The integrated approach “nexus” provides the understanding of complex intersectoral systems, enhance the synergies and minimize trade-offs to optimise the efficiency of resources. The main aim of this thesis is to enhance sustainable resource management, particularly focusing on the WEFE Nexus under historical conditions and projected changes in climate. The thesis is divided into two parts to obtain these objectives, beginning with chapter 2 where a comprehensive assessment of the Water-Food (WF) Nexus in the Sardinia region is carried on. This objective was achieved by utilizing the Simulation of Evapotranspiration of Applied Water model integrated with GIS libraries (SIMETAW_GIS), i.e., the crop-water-soil balance model used to accurately estimate the crop water demand and quantify the yield losses due to water stress under historical and future projections. The modelling of crop water demand and the effect of water scarcity on crops delivers critical perceptions for the policymakers that can support the management of water resources and form the foundation for adaptation management strategies in the Sardinia region. Chapter 3 expands the WF Nexus to a more holistic Water-Energy-Food-Ecosystem Nexus analysis utilizing both qualitative and quantitative tools to understand and assess the complexity of the intertwined nature of WEFE systems with a special focus on seven hydrographic subbasins of Sardinia region. The qualitative tools Hoff WEF Nexus analytical framework and Causal Loop Diagram (CLD) were utilized to capture and explore the key linkages between water, energy, food, and ecosystem sectors. The novel quantitative tool R-WEFE Nexus platform was validated and coupled with climate change and socio-economic scenarios to investigate the nexus behaviour under various scenario conditions and policy frameworks. The policies were assessed against predefined thresholds to test the effective resource management and ensure the sustainability of sectoral strategies with sustainability goals. The study identifies favorable and unfavorable trajectories offering strategic recommendations for better nexus performance. These include adaptive strategies for enhancing water resource management, tourism management, sustainable land management, decarbonizing the economy by increasing the proportion of renewable energy, agriculture resilience, and ensuring ecosystem integrity. The multiple policies were tested in R-WEFE Nexus platform effectively addressing the compound uncertainty stemming from socio-economic shift and hydroclimate variability intensified by changes in climate conditions. The thesis provided valuable findings and recommendations, particularly focusing on the holistic WEFE sectors of Sardinia Island. The application of the SIMETAW_GIS model and R-WEFE Nexus platform effectively assessed the W-F Nexus and WEFE Nexus sectors respectively. Projected changes in socio-economic and climate change highlight the increasing uncertainty in the WEFE sectors
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