321 research outputs found

    Climate risk mapping provides rice growers with adaptation options in the Mekong River Delta

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    The Mekong River Delta in Vietnam accounts for over half of the country’s domestic #rice production yet is increasingly affected by climate change. Dr. Bui Tan Yen is leading a team to develop an approach known as CS-MAP, a participatory approach of climate risk mapping, which provides farmers with adaptation options

    Southeast Asia Climate-Smart Villages AR4D sites: 2016 Inventory

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    Inventory of CSA practises in Southeast Asia's Climate-Smart Villages

    Finite element study of oil tank foundation system

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    Master'sMASTER OF ENGINEERIN

    Protocol for mapping climate-risks and associated adaptation plans under Asian Mega-Deltas Initiative

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    The Participatory Mapping method was applied by Vietnam’s Department of Crop Production and the CGIAR Research Program on Climate Change, Agriculture and Food Security – Southeast Asia in designing the approach for Climate-risk mapping and adaptation planning – CS-MAP. Local knowledge is very important in identifying affected area, the level of climate risks and adaptation measures taking into account local contexts (natural resources, infrastructure and production activities). In CS-MAP, spatial and temporal factors are used in analysis following a 5-step process. This protocol describes the detailed process and methods of participatory risk mapping and adaptation planning in cooperation with local stakeholders, adaptable to the contexts of Cambodia and Bangladesh

    Methane Emission Factors for Rice Production in the Mekong River Delta

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    This is an info note elaborating on a study of the International Rice Research Institute (IRRI) conducted by Vo et al. (2018) on methane emission from rice cultivation in different agro-ecological zones of the Mekong River Delta, focusing on seasonal patterns and emission factors for baseline water management

    Utilizing Video Feedback to Increase Appropriate Social Behaviors When Used in Conjunction with Peer Tutoring

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    The ability to integrate, adapt and strive in the community has become a focal point in research with individuals who have an intellectual disability. However, research regarding teaching social skills to adults who are preparing to transition into the community is limited.The purpose of this study is to utilize peer tutoring with adults who have a mild intellectual disability. Furthermore, a video feedback component will be added in an attempt to enhance the effects of peer tutoring. This overall aim is to increase social skills in adults who are currently living in an institutionalized setting and who may be able to transition into a community residential setting in the future.The results of this study provide preliminary support for a peer tutoring intervention and video feedback in order to enhance social skills with adults who have a mild intellectual disability. Peer tutoring is an intervention that is generally used with children and youth in school settings when increasing social skills. The data suggest that peer tutoring is an effective strategy for increasing social skills in adults with mild disabilities. The data also demonstrated that video feedback does enhance the effects of peer tutoring despite the high levels of appropriate behavior that peer tutoring facilitated.Educatio

    Scientific data for CS-MAP in Cambodia

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    The presentation elaborated on the various scientific data used to develop Climate-Smart Mapping and Adaptation Planning (CS-MAP) for Cambodia. These include spatial data for flood risk and drought risk, land cover/land use type, and other spatial data (i.e., administrative boundary, natural resources, satellite images, and topography)

    Deconstructing Cation-pi Interactions: Understanding the Binding Energies Involved with Metal and Aromatic Amino Acid Residues

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    The Effective Fragment Potential (EFP) method is a computationally efficient technique for describing non-covalent interactions, such as hydrogen bonding and van der Waals forces. Cation-pi interactions are a type of non-covalent interactions and are thought to be important in biological processes, such as permittivity of ion channels. The goal of our work is to establish that the EFP method reliably describes the strength, directionality, and composition of cation-pi interactions. Optimal geometries were found for a series of biologically relevant cations (K+, Li+, Na+, Ca2+, and Mg2+) and aryl moieties appearing as residue groups in natural amino acids (3-methyl-1h-indole, p-cresol, phenylalanine, toluene, and tyrosine) using the MP2 level of theory and the cc-pVTZ basis set. The cation was then displaced along a line normal to the aromatic compound with EFP calculations performed for every 0.2 angstroms between 1 and 7 angstroms along the trajectory. The obtained binding energies and relative energy components were compared against Symmetry-Adapted Pertubation Theory (SAPT) calculations at 0.4 angstrom increments along the same trajectory. SAPT has been previously used to test the accuracy of EFP for a variety of systems. Preliminary results indicate that the EFP method accurately predicts equilibrium geometries in cation-pi complexes. The low computational cost of EFP against SAPT provides promise in expansion on the research of cation-pi interactions to larger systems using EFP

    Participatory Land Use Planning for Climate-Smart Villages: Guidelines and References

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    Participatory land-use planning (PLUP) refers to a bottom-up method of analyzing land and water resources. In its current form, PLUP integrates inputs about climate change and sea level rise to help the community utilize the resources within its vicinities. In utilizing its resources, the community will be able to improve the people’s livelihoods and help them sustain such resources for the benefit of the next generations. This publication in implementing PLUP focused on climate-smart adaptation in Climate-Smart Villages (CSVs)

    Exploring Characteristics of Social Classification

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    Three empirical studies on characteristics of social classification are reported in this paper. The first study compared social tags with controlled vocabularies and title-based automatic indexing and found little overlaps among the three indexing methods. The second study investigated how well tags could be categorized to improve effectiveness of searching and browsing. The third study explored factors and radios that had the most significant impact on tag convergence. Finding of the three studies will help to identify characteristics of those tagging terms that are content-rich and that can be used to increase effectiveness of tagging, searching and browsing
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