Academic literature on the topic 'Data element mapping'
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Journal articles on the topic "Data element mapping"
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Chen, Ya-Ning. "A RDF-based approach to metadata crosswalk for semantic interoperability at the data element level." Library Hi Tech 33, no. 2 (June 15, 2015): 175–94. http://dx.doi.org/10.1108/lht-08-2014-0078.
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Purpose – The purpose of this paper is to propose a Resource Description Framework (RDF)-based approach to transform metadata crosswalking from equivalent lexical element mapping into semantic mapping with various contextual relationships. RDF is used as a crosswalk model to represent the contextual relationships implicitly embedded between described objects and their elements, including semantic, hierarchical, granular, syntactic and multiple object relationships to achieve semantic metadata interoperability at the data element level. Design/methodology/approach – This paper uses RDF to translate metadata elements and their relationships into semantic expressions, and also as a data model to define the syntax for element mapping. The feasibility of the proposed approach for semantic metadata crosswalking is examined based on two use cases – the Archives of Navy Ships Project and the Digital Artifacts Project of National Palace Museum in Taipei – both from the Taiwan e-Learning and Digital Archives Program. Findings – As the model developed is based on RDF-based expressions, unsolved issues related to crosswalking, such as sets of shared terms, and contextual relationships embedded between described objects and their metadata elements could be manifested into a semantic representation. Corresponding element mapping and mapping rules can be specified without ambiguity to achieve semantic metadata interoperability. Research limitations/implications – Five steps were developed to clarify the details of the RDF-based crosswalk. The RDF-based expressions can also serve as a basis from which to develop linked data and Semantic Web applications. More use cases including biodiversity artifacts of natural history museums and literary works of libraries, and conditions, constraints and cardinality of metadata data elements will be required to make revisions to fine tune the proposed RDF-based metadata crosswalk. Originality/value – In addition to reviving contextual relationships embedded between described objects and their metadata elements, nine types of mapping rules were developed to achieve a semantic metadata crosswalk which will facilitate the design of related mapping software. Furthermore, the proposed approach complements existing crosswalking documents provided by authoritative organizations, and enriches mapping language developed by the CIDOC community.
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Zhang, Yan. "Researching about Performance of Archiving History Data Based on XML under Hadoop." Applied Mechanics and Materials 380-384 (August 2013): 2482–85. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2482.
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Analyzed radical problem of historical data archiving in date warehouse, presented applying XML into archiving. Arithmetic of structuring level direct graph was provided. The arithmetic of mapping from data base structure to XML Schema based on level direct graph was implemented. In the meantime, the ways to describe all level elements, including base element, table element, recorder element, field element and relation ship between them, were provided. The experiment results are showed that the method is efficient.
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Wright, Sue Ellen, and Gerhard Budin. "Data elements in terminological entries." Terminology 1, no. 1 (January 1, 1994): 41–59. http://dx.doi.org/10.1075/term.1.1.05wri.
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Differing theoretical and methodological views and working-group needs have spawned a wide diversity in the content, layout and internal structure of terminological entries in database environments, which in turn complicates standardization and data interchange. Major criticisms lodged against the data element list provided in ISO 6156 (MATER) prompted the authors to conduct an empirical examination of over thirty existing databases to ascertain which data elements are truly used in practice (as opposed to those which are espoused or rejected in theory). Their results reveal that designation of data elements, like other terminological products, are subject to the vagaries of polysemy and synonymy. They conclude that, given the widespread differences in approach evidenced in existing databases, the most practical approach to data element concerns during interchange is to compile an open-ended dictionary of common data element types for use as a mapping device during the data preparation stage.
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Yan, Ge, Heqin Cheng, Lizhi Teng, Wei Xu, Yuehua Jiang, Guoqiang Yang, and Quanping Zhou. "Analysis of the Use of Geomorphic Elements Mapping to Characterize Subaqueous Bedforms Using Multibeam Bathymetric Data in River System." Applied Sciences 10, no. 21 (October 30, 2020): 7692. http://dx.doi.org/10.3390/app10217692.
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Riverbed micro-topographical features, such as crest and trough, flat bed, and scour pit, indicate the evolution of fluvial geomorphology, and have an influence on the stability of underwater structures and overall scour pits. Previous studies on bedform feature extraction have focused mainly on the rhythmic bed surface morphology and have extracted crest and trough, while flat bed and scour pit have been ignored. In this study, to extend the feature description of riverbeds, geomorphic elements mapping was used by employing three geomorphic element classification methods: Wood’s criteria, a self-organization map (SOM) technique, and geomorphons. The results showed that geomorphic element mapping can be controlled by adjusting the slope tolerance and curvature tolerance of Wood’s criteria, using the map unit number and combination of the SOM technique and the flatness of geomorphons. Relatively flat bed can be presented using “plane”, “flat planar”, and “flat” elements, while scour pit can be presented using a “pit” element. A comparison of the difference between parameter settings for landforms and bedforms showed that SOM using 8 or 10 map units is applicable for land and underwater surface and is thus preferentially recommended for use. Furthermore, the use of geomorphons is recommended as the optimal method for characterizing bedform features because it provides a simple element map in the absence of area loss.
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Hudecová, Ľubica. "Mapping as a Spatial Data Source." Slovak Journal of Civil Engineering 21, no. 1 (March 1, 2013): 24–30. http://dx.doi.org/10.2478/sjce-2013-0004.
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Abstract The basic database for a geographic information system (BD GIS) forms the core of a national spatial data infrastructure. Nowadays decisions are being made about the potential data sources for additional data updates and refinement of the BD GIS. Will the data from departmental or other information system administrators serve for this purpose? This paper gives an answer as to whether it is advisable to use “geodetic mapping” (the results realized in the process of land consolidation) or “cadastral mapping” (the results realized in the process of the renewal of cadastral documentation by new mapping) for additional data updates. In our analysis we focus on the quality parameters at the individual data element level, namely the positional accuracy, attribute accuracy, logical consistency, and data resolution. The results of the analysis are compared with the contents of the Object Class Catalog of BD GIS (OCC), which describes the group of objects managed by BD GIS and defines the data collection methods, types of geometry and its properties.
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Aldaoud, Manar, Dawood Al-Abri, Medhat Awadalla, and Firdous Kausar. "Data Structure and Management Protocol to Enhance Name Resolving in Named Data Networking." Future Internet 16, no. 4 (March 30, 2024): 118. http://dx.doi.org/10.3390/fi16040118.
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Named Data Networking (NDN) is a future Internet architecture that requires an Inter-Domain Routing (IDR) to route its traffic globally. Address resolution is a vital component of any IDR system that relies on a Domain Name System (DNS) resolver to translate domain names into their IP addresses in TCP/IP networks. This paper presents a novel two-element solution to enhance name-to-delivery location resolution in NDN networks, consisting of (1) a mapping table data structure and a searching mechanism and (2) a management protocol to automatically populate and modify the mapping table. The proposed solution is implemented and tested on the Peer Name Provider Server (PNPS) mapping table, and its performance is compared with two other algorithms: component and character tries. The findings show a notable enhancement in the operational speed of the mapping table when utilizing the proposed data structure. For instance, the insertion process is 37 times faster compared to previous algorithms.
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Shang, Jian Dong, Ya Peng Zhang, and Dong Fang Hu. "The Contrast Study on the Method of STEP/XML Data Transformation." Advanced Materials Research 403-408 (November 2011): 4103–7. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4103.
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Heterogeneous data sharing is always a bottleneck problem for the development of collaborative design. The method of STEP/XML element mapping achieves the data transformation between STEP and XML by establishing the mapping relationship of the two data. It’s hard to ensure all element mapping one to one and easy to cause the partial data loss. Based on the research, this paper put forward a new method with data encapsulation. It encapsulates the whole STEP data into the XML data by using of the XML character data, and then the data are uploaded to the collaborative design platform. Another designer can download it and get the original STEP data by using the XML parser. This method is not only easy to be realized, but also can ensure the integrity of the product model data conversion. It is more conducive to achieve collaborative design.
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Ledford, Allison, Susan Askew, and Edward Huang. "DATA ELEMENT MAPPING AND ANALYSIS (DEMA) TO ENABLE SYSTEMATIC MODEL CREATION USING SYSML." INCOSE International Symposium 34, no. 1 (July 2024): 2373–83. http://dx.doi.org/10.1002/iis2.13275.
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AbstractData Element Mapping and Analysis (DEMA) represents a new and systematic methodology for the standardized capture, mapping, and analysis of data threads essential for comprehending digital systems and their architecture. This research studies the synergies between DEMA and Systems Modeling Language (SysML). The study aims to enable the systematic creation of digital artifacts using SysML. The results show that DEMA can serve as a complementary tool, enhancing the creation of SysML models by improving knowledge capture and verification processes. The prototype DEMA to SysML framework presented in this work provides the foundation for a systematic methodology to enable the systematic creation of models using SysML.
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Fournelle, J., C. Davidson, F. Spear, M. Kohn, and H. Guo. "Trace Element Mapping of Minerals and Materials by Electron Microprobe." Microscopy and Microanalysis 5, S2 (August 1999): 630–31. http://dx.doi.org/10.1017/s1431927600016470.
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A strength of the modern electron microprobe is its ability to provide 2D compositional information about materials. These images give the ability to observe features that might otherwise pass unseen. Elements at the trace element level are generally ignored due to the high detection limits imposed by mapping under “standard” EMP conditions.Trace element mapping requires beam regulation at high (e.g. 300 nA) to very high (e.g. 3 μA) faraday cup currents, reliable beam and stage control, and suitable samples and mounting media. The ability to operate at high accelerating voltage to maximize Pk2/Bkg is desirable (Robinson and Graham, 1992), although we have encountered column difficulties above 25-30 kV.We are mapping trace and minor elements including Y, Sc, P, Cr, Mn, Ca, in garnets. Fig. 1 shows Y, Sc and Cr maps (Spear and Kohn, 1996; Kohn, Spear and Valley, 1997), and Fig. 2 Y and Sc maps (Cameron, unpub. data), produced with a Cameca SX51.
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Bektaş, Başak Aldemir. "Use of Recursive Partitioning to Predict National Bridge Inventory Condition Ratings from National Bridge Elements Condition Data." Transportation Research Record: Journal of the Transportation Research Board 2612, no. 1 (January 2017): 29–38. http://dx.doi.org/10.3141/2612-04.
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In the United States, National Bridge Inventory (NBI) condition ratings, since the 1970s, and AASHTO’s commonly recognized (CoRe) element condition data, since the 1990s, have provided two major sources of bridge condition data. Although these separate systems of condition assessment had their individual uses, comparing the two, and mapping one from the other had uses for both state and federal agencies and the bridge management community. Alternative methods for this mapping have been proposed in the literature with varying predictive accuracy. With the publication of the new AASHTO Manual for Bridge Element Inspection in 2013, national bridge elements (NBEs) replace the CoRe element condition data as the comparable condition data for the NBI condition ratings. This paper investigates the use of the recursive partitioning method to develop classification trees that predict NBI condition ratings from NBE condition data. On the basis of data from a 2016 submission and 12 transportation agencies, classification trees were developed that presented the most likely NBI condition ratings for a set of logical conditions based on the relative element quantities and the percentage of element quantities in the condition states. The predictive accuracies for the trees are sufficient, and the percentages of exact matches and matches within one error term are better than other studies in the literature. Although the trees can be improved in the future with the availability of more NBE data submissions, the study presented preliminary decision trees with sufficient predictive accuracy that could be adopted by transportation agencies for a variety of bridge management functions.
Dissertations / Theses on the topic "Data element mapping"
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Minami, Masayo, Tsuyoshi Tanaka, Koshi Yamamoto, Koichi Mimura, Yoshihiro Asahara, Makoto Takeuchi, Hidekazu Yoshida, and Setsuo Yogo. "Database for geochemical mapping of the northeastern areas of Aichi Prefecture, central Japan ^ XRF major element data of stream sediments collected in 1994 to 2004 -." Dept. of Earth and Planetary Sciences, Nagoya University, 2005. http://hdl.handle.net/2237/7650.
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Griffier, Romain. "Intégration et utilisation secondaire des données de santé hospitalières hétérogènes : des usages locaux à l'analyse fédérée." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0479.
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Les données issues du soin peuvent être utilisées pour des finalités autres que celles pour lesquelles elles ont été collectées initialement : c’est l’utilisation secondaire des données de santé. Dans le contexte hospitalier, afin de lever les verrous de l’utilisation secondaire des données de santé (verrous liés aux données et verrous organisationnels), une stratégie classique consiste à mettre en place un Entrepôt de Données de Santé (EDS). Dans le cadre de cette thèse, trois contributions à l’EDS du CHU de Bordeaux sont décrites. Premièrement, une méthode d’alignement des data éléments de biologie numérique basée sur les instances et conforme aux règles de protection des données à caractère personnel est présentée, avec une F-mesure à 0,850, permettant de réduire l’hétérogénéité sémantique des données. Ensuite, une adaptation du modèle d’intégration des données cliniques d’i2b2 est proposée pour assurer la persistance des données d’un EDS dans une base de données NoSQL, Elasticsearch. Cette implémentation a été évaluée sur la base de données de l’EDS du CHU de Bordeaux et retrouve des performances améliorées en termes de stockage et de temps de requêtage, par rapport à une base de données relationnelle. Enfin, une présentation de l’environnement EDS du CHU de Bordeaux est réalisée, avec la description d’un premier EDS dédié aux usages locaux et qui peut être exploité en autonomie par les utilisateurs finaux (i2b2), et d’un second EDS, dédié aux réseaux fédérés (OMOP) permettant notamment la participation au réseau fédéré DARWIN-EUHealthcare data can be used for purposes other than those for which it was initially collected: this is the secondary use of health data. In the hospital context, to overcome the obstacles to secondary use of healthcaree data (data and organizational barriers), a classic strategy is to set up Clinical Data Warehouses (CDWs). This thesis describes three contributions to the Bordeaux University Hospital’s CDW. Firstly, an instance-based, privacy-preserving, method for mapping numerical biology data elements is presented, with an F-measure of 0,850, making it possible to reduce the semantic heterogeneity of data. Next, an adaptation of the i2b2 clinical data integration model is proposed to enable CDW data persistence in a NoSQL database, Elasticsearch. This implementation has been evaluated on the Bordeaux University Hospital’s CDW, showing improved performance in terms of storage and query time, compared with a relational database. Finally, the Bordeaux University Hospital’s CDW environment is presented, with the description of a first CDW dedicated to local uses that can be used autonomously by end users (i2b2), and a second CDW dedicated to federated networks (OMOP) enabling participation in the DARWIN-EU federated network
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Block, Lorraine Joy. "Mapping nursing wound care data elements to SNOMED-CT." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/60290.
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Documentation is a professional responsibility in nursing because it facilitates communication, promotes good nursing care, and acts as a valuable method to demonstrate that legal and agency standards are followed. Nurses are increasingly using health information technologies, such as electronic health records, to document care. To be able to measure and compare the impact of nursing on patient outcomes, standardized clinical terminologies compliant with international standards are necessary. In British Columbia, Canada, nurses use a standardized wound care template to document their assessments and the care they provide to patients; however, the content of this assessment is currently not shared in a computable format between different electronic health records within the province. The purpose of this thesis was to map wound care data elements from the BC Standardized Nursing Wound Documentation standard to SNOMED-CT. To complete this “bottom-up” mapping activity, creation of a conceptual model of knowledge representation for nursing wound care was developed to inform three concurrent methods of mapping (manual, automated, and literature comparison) for 107 data elements. These methods produced candidate lists, which were reviewed by two expert wound care clinicians who created an expert consensus list. Results of this expert consensus list indicated that 40.2% of the terms had direct matches, 1.9% had one-to-many matches, and 57.9% had no matches. The outcome of this study was the creation of a conceptual model of nursing knowledge representation for wound care, a list of mapped wound care data elements to SNOMED-CT, identification of missing and duplicate concepts in SNOMED-CT, and application of concurrent mapping methods to inform the creation of an expert consensus list. The advancement of standardized clinical terminologies to support semantic interoperability between disparate electronic health records is an important measure to ensure patient information is shared throughout the continuum of care. This thesis work provides a method to incorporate local nursing standards into SNOMED-CT, with the intent to ensure that nursing care is represented.Applied Science, Faculty of
Nursing, School of
Graduate
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Noordhuis-Fairfax, Sarina. "Field | Guide: John Berger and the diagrammatic exploration of place." Phd thesis, Canberra, ACT : The Australian National University, 2018. http://hdl.handle.net/1885/154278.
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Positioned between writing and drawing, the diagram is proposed by John Berger as an alternative strategy for articulating encounters with landscape. A diagrammatic approach offers a schematic vocabulary that can compress time and offer a spatial reading of information. Situated within the contemporary field of direct data visualisation, my practice-led research interprets Berger’s ‘Field’ essay as a guide to producing four field | studies within a suburban park in Canberra. My seasonal investigations demonstrate how applying the conventions of the pictorial list, dot-distribution map, routing diagram and colour-wheel reveals subtle ecological and biographical narratives.
Books on the topic "Data element mapping"
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C, Guptill Stephen, Morrison Joel L, and International Cartographic Association, eds. Elements of spatial data quality. Oxford, U.K: Elsevier Science, 1995.
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Snyder, Michael. Genomics and Personalized Medicine. Oxford University Press, 2016. http://dx.doi.org/10.1093/wentk/9780190234775.001.0001.
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In 2001 the Human Genome Project succeeded in mapping the DNA of humans. This landmark accomplishment launched the field of genomics, the integrated study of all the genes in the human body and the related biomedical interventions that can be tailored to benefit a person's health. Today genomics, part of a larger movement toward personalized medicine, is poised to revolutionize health care. By cross-referencing an individual's genetic sequence -- their genome -- against known elements of "Big Data," elements of genomics are already being incorporated on a widespread basis, including prenatal disease screening and targeted cancer treatments. With more innovations soon to arrive at the bedside, the promise of the genomics revolution is limitless. This entry in the What Everyone Needs to Know series offers an authoritative resource on the prospects and realities of genomics and personalized medicine. As this science continues to alter traditional medical paradigms, consumers are faced with additional options and more complicated decisions regarding their health care. This book provides the essential information everyone needs.
Book chapters on the topic "Data element mapping"
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Sanjon, Cedric Wilfried, Yuchen Leng, Marek Hauptmann, Jens-Peter Majschak, and Peter Groche. "Material Parameters Identification of Thin Fiber-Based Materials Using the Method of Machine Learning Exploiting Numerically Generated Simulation Data." In Lecture Notes in Mechanical Engineering, 209–23. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-58006-2_16.
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AbstractThe determination and validation of material parameters required for finite element simulation of the forming processes of fiber-based materials such as paperboard can be accomplished by strain-based loading of a specimen in combination with a simulation-based reverse engineering approach. Due to the complexity of the material itself, such as anisotropy, the development of such approaches can be very time-consuming and requires programming skills as well as expertise in FEM analysis and optimization. Machine learning methods offer a practical alternative to optimization, parameterization, and reverse engineering approaches, assuming that the data is fully known, generalized, and learned by the machine learning model. More specifically, a machine learning model can compute the material parameters required for a finite element simulation directly from the experimental measurements, if the hypothetical mapping function in this case is learned from the numerical study between material parameters and deformation behavior. In this paper, such data generated by numerical studies are used to train the machine learning model and, based on this, to determine elastic (e.g., Young’s modulus), plastic, and Hill’s parameters.
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Curry, Edward, Andreas Metzger, Arne J. Berre, Andrés Monzón, and Alessandra Boggio-Marzet. "A Reference Model for Big Data Technologies." In The Elements of Big Data Value, 127–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68176-0_6.
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AbstractThe Big Data Value (BDV) Reference Model has been developed with input from technical experts and stakeholders along the whole big data value chain. The BDV Reference Model may serve as a common reference framework to locate big data technologies on the overall IT stack. It addresses the main technical concerns and aspects to be considered for big data value systems. The BDV Reference Model enables the mapping of existing and future data technologies within a common framework. Within this chapter, we detail the reference model in more detail and show how it can be used to manage a portfolio of research and innovation projects.
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Ariza, Juan Medina, and Reka Solymosi. "Basics of cartographic design: elements of a map." In Crime Mapping and Spatial Data Analysis using R, 123–56. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003154914-5.
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Johnson, Steven G., Gyorgy Simon, and Constantin Aliferis. "Data Preparation, Transforms, Quality, and Management." In Health Informatics, 377–413. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-39355-6_8.
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AbstractData preparation and feature engineering transform source data elements into a form that can be used by analytic and machine learning methods. Raw source data elements are transformed into data design features that are specified in the data design through an iterative process of mapping data elements to concepts, value sets, and phenotype expressions. Data that meet the data design criteria are extracted into a data mart where the quality of the data can be assessed. Once data are of sufficient quality and meet expectations, ML features are developed for use in machine learning models.
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Zhuk, L. I., and A. A. Kist. "Mapping Technique Based on Elemental Hair Composition Data." In Nuclear Analytical Methods in the Life Sciences, 307–20. Totowa, NJ: Humana Press, 1990. http://dx.doi.org/10.1007/978-1-4612-0473-2_34.
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Rubio, María Alejandra, Olga L. Sarmiento, Tomás Guevara, Gary O’Donovan, Anamaría Muñoz, Luis A. Guzman, Julián Arellana, et al. "The Impacts of an Urban Cable Car System on Liveability: A Mixed Methods Study in Bogotá, Colombia." In S.M.A.R.T. Environments, 311–45. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32840-4_14.
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AbstractCable cars represent an integral element of urban transport systems designed to connect underserved communities in Latin America. However, evaluations of the liveability impacts of cable cars are scarce. The TransMiCable cable car in Colombia connects the peripheral neighbourhoods of Ciudad Bolívar with the integrated public transport system of Bogotá. This study assessed the effect of TransMiCable on domains of liveability, including transport, public open space, social cohesion, local democracy, and security. Urban Transformations and Health: The Case of TransMiCable in Bogotá was a natural experiment involving participatory mixed methods. Household surveys, the Our Voice citizen science research method, and the Ripple Effects Mapping technique were applied to capture baseline measurements before TransMiCable’s inauguration and follow-up measurements afterwards in both intervention and control areas. Following a simultaneous bidirectional approach, quantitative and qualitative data were collected and analysed separately, then merged for interpretation. The mixed methods approach revealed concordance and complementarity among the multiple effects of the TransMiCable intervention across domains of liveability. These impacts included shorter travel times, increased satisfaction with public transport, increased access to parks, perceived reduction in the neighbourhood’s social stigma, increased pride in community, and decreased perceived insecurity. The participatory process facilitated dialogue between community leaders and public sector decision-makers on the ways transportation interventions can improve liveability. This multisectoral engagement enabled a broad understanding of the ongoing transformation of the Ciudad Bolívar area after the implementation of TransMiCable, providing lessons for effectively engaging with local stakeholders to support the sustainability of urban transformations.
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Gravagnuolo, Antonia, Gabriella Monteleone, and Luigi Fusco Girard. "In Search of a Circular Model for Cultural Heritage Adaptive Reuse: Building Evidence-Base." In Adaptive Reuse of Cultural Heritage, 127–63. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-67628-4_5.
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AbstractThe CLIC framework for circular adaptive reuse of cultural heritage was tested through the assessment of European adaptive reuse cases, to identify the elements of success in diverse contexts according to specific and multidimensional circularity criteria. One of the objectives of the CLIC project was to strengthen efforts to harness data for heritage management in EU regions, developing participatory mapping, unified access to heritage-related databases, data visualization, citizen-generated data. This contribution aims to present the methodology and tools used in the CLIC adaptive reuse of cultural heritage to collect, organise, analyse and interpret relevant data on European cultural heritage adaptive reuse practices, to identify good practices, success factors and barriers towards the implementation of the circular model for heritage reuse and regeneration. The CLIC Survey rationale and structure is described, followed by the pilot data collection platform features, data analysis and assessment. A number of case studies is provided as an overview of the relevant information collected and how it was used to advance knowledge on successful adaptive reuse cases.
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de la Peña, F., R. Arenal, O. Stephan, M. Walls, A. Loiseau, and C. Colliex. "Elemental and bond mapping of complex nanostructures by MLS analysis of EELS spectrum-imaging data." In EMC 2008 14th European Microscopy Congress 1–5 September 2008, Aachen, Germany, 367–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85156-1_184.
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Belcore, Elena, Vincenzo Di Pietra, Nives Grasso, Marco Piras, Francesco Tondolo, Pierclaudio Savino, Daniel Rodriguez Polania, and Anna Osello. "Towards a FOSS Automatic Classification of Defects for Bridges Structural Health Monitoring." In Communications in Computer and Information Science, 298–312. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94426-1_22.
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AbstractBridges are among the most important structures of any road network. During their service life, they are subject to deterioration which may reduce their safety and functionality. The detection of bridge damage is necessary for proper maintenance activities. To date, assessing the health status of the bridge and all its elements is carried out by identifying a series of data obtained from visual inspections, which allows the mapping of the deterioration situation of the work and its conservation status. There are, however, situations where visual inspection may be difficult or impossible, especially in critical areas of bridges, such as the ceiling and corners. In this contribution, the authors acquire images using a prototype drone with a low-cost camera mounted upward over the body of the drone. The proposed solution was tested on a bridge in the city of Turin (Italy). The captured data was processed via photogrammetric process using the open-source Micmac solution. Subsequently, a procedure was developed with FOSS tools for the segmentation of the orthophoto of the intrados of the bridge and the automatic classification of some defects found on the analyzed structure. The paper describes the adopted approach showing the effectiveness of the proposed methodology.
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Tsui, Tanya, Wendy Wuyts, and Karel Van den Berghe. "Geographic Information Systems for Circular Cities and Regions." In Circular Economy and Sustainability, 21–40. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-39675-5_2.
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AbstractA geographic information system (GIS) stores, manipulates, analyses, and visualises spatial data. GIS enables the mapping of building elements and components and can optimise the location of facilities for circular activities, thus contributing to the closing of material loops and the spatial development of circular cities and regions. This chapter presents use cases of GIS in the circular built environment, with examples from academia, industry, and government. Academics use GIS data for urban mining studies to estimate the location and availability of secondary construction materials. Businesses in industry use GIS analysis to inform the facility location of circular construction hubs and (reverse) logistics. Governments use GIS to monitor and assess the circular spatial development potential of their (industrial) territories. In order to integrate GIS into circular economy solutions, improvements need to be made in making spatial data available and in presenting findings that emerge from it. Finally, present enthusiasm for GIS tools should be balanced by a deeper understanding of the connection between digital tools and governance decisions.
Conference papers on the topic "Data element mapping"
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Liu, Baoyu, Shuo Yan, Liang Du, Xiushan Shi, Yuanzhe Duan, Yunxiu Ma, and Jian Li. "Research on finite element model for tank safety evaluation based on high precision surveying and mapping data." In Second International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), edited by Bin Zou and Yaoping Cui, 12. SPIE, 2024. http://dx.doi.org/10.1117/12.3048641.
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Cimpoesu, Maria Cristina, and Adrian Grozavu. "TOURISM ACTIVITIES AND VULNERABILITY TO NATURAL HAZARDS IN THE PIATRA-NEAMT CITY (NORTH-EAST ROMANIA)." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024, 345–52. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s20.44.
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In the area of the city of Piatra-Neamt (North-East of Romania), the activities related to the tourism sector may register malfunctions due to the manifestation of some natural risk phenomena. The touristic potential of the city (recreational, sports, balneary, cultural-historical) represents a central component of the national tourist structure with many exploitation possibilities. Risk situations of tourist activities can be induced by the natural hazards attributes (probability and intensity) and vulnerability conditions (physical, economic and social dimensions). The approach in the present study is mainly based on documentary investigation and statistical data collection on risk events covering the period between 1887 and the present, quantitative/qualitative data processing using GIS techniques for making a relevant mapping, and the critical interpretation of the results. The study highlights the fact that some tourist actors, tourist objectives as well as elements of the tourist infrastructure fall under the incidence of geomorphological risks (landslides), climatic risks (lightning) and biophysical risks (the COVID-19 pandemic). The main effects of these risk phenomena are the economic difficulties resulting from the interruption of activities and the decrease in the number of tourists. Identifying the characteristics causing the susceptibility to adverse effects of natural hazards and assessing the vulnerability of the tourism sector in Piatra-Neamt City constitutes an essential element in the risk management strategy and sustainable development of the community.
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Ram, Pritham, Na Hong, Hua Xu, and Xiaoqian Jiang. "Mapping Study Variables to Common Data Elements Using GPT for Sheets: Towards Standardized Data Collection and Sharing." In 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI), 320–25. IEEE, 2024. http://dx.doi.org/10.1109/ichi61247.2024.00048.
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Kantan, Prithvi Ravi, Sofia Dahl, and Erika G. Spaich. "Adapting Audio Mixing Principles and Tools to Parameter Mapping Sonification Design." In ICAD 2024: The 29th International Conference on Auditory Display, 148–55. icad.org: International Community for Auditory Display, 2024. http://dx.doi.org/10.21785/icad2024.034.
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Designing a parameter mapping sonification (PMSon) involves defining a mapping function that determines how data variables affect audio signal parameters. The mapping function is represented using mathematical notation and/or characterized in terms of scaling, transfer function and polarity; both approaches manifest in software platforms for PMSon design. Math notation is not always directly relatable to complex design requirements, and simple characterizations lack generality and may be ambiguous - both issues hamper mapping function design, conceptualization, and dissemination. We seek to address them through knowledge transfer from audio mixing, a mature craft with strong parallels to PMSon design. For mixing, it was a versatile and universally applicable technological platform (the multitrack mixer) that supported the development of mixing technique, concepts, and recent formalizations thereof, laying the foundation for modern audio production. We posit that a PMSon design platform that adapts the essential elements of the mixer can similarly reinforce PMSon by supporting a mapping function representation directly tied to the design process. We define the correspondence between mixing and PMSon design, outline specifics of mixer functionality adaptation, and demonstrate the resulting capabilities with our proof-of-principle platform Mix-N-Map that is currently pending user testing. We believe a general PMSon framework explicitly rooted in audio mixing can potentially advance theory and practice to the benefit of PMSon designers and users alike.
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Hansen, Brian, Leya Breanna Baltaxe-Admony, Sri Kurniawan, and Angus G. Forbes. "Exploring Sonic Parameter Mapping for Network Data Structures." In ICAD 2019: The 25th International Conference on Auditory Display. Newcastle upon Tyne, United Kingdom: Department of Computer and Information Sciences, Northumbria University, 2019. http://dx.doi.org/10.21785/icad2019.055.
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In this paper, we explore how sonic features can be used to represent network data structures that define relationships between elements. Representations of networks are pervasive in contemporary life (social networks, route planning, etc), and network analysis is an increasingly important aspect of data science (data mining, biological modeling, deep learning, etc). We present our initial findings on the ability of users to understand, decipher, and recreate sound representations to support primary network tasks, such as counting the number of elements in a network, identifying connections between nodes, determining the relative weight of connections between nodes, and recognizing which category an element belongs to. The results of an initial exploratory study (n=6) indicate that users are able to conceptualize mappings between sounds and visual network features, but that when asked to produce a visual representation of sounds users tend to generate outputs that closely resemble familiar musical notation. A more in-depth pilot study (n=26) more specifically examined which sonic parameters (melody, harmony, timbre, rhythm, dynamics) map most effectively to network features (node count, node classification, connectivity, edge weight). Our results indicate that users can conceptualize relationships between sound features and network features, and can create or use mappings between the aural and visual domains.
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Suo, Chen, Eugene McGovern, and Alan Gilmer. "UAV Data for Coastal Dune Mapping." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.245.
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High resolution topographic maps are critical for the development of rigorous and quantitative numerical simulation landscape models. These models can inform targeted land management actions that maintain biodiversity and ecological functions. Mapping functional vegetation communities to obtain accurate distribution and population estimates is an important element of landscape models and is a challenging task which requires a considerable investment in time and resources. A recent development in surveying technologies, Unmanned Aerial Vehicles (UAV’s), also known as drones, has enabled high resolution and high accuracy ground-based data to be gathered quickly and easily on-site. The application of UAV’s represents a new opportunity to survey relatively large areas in significantly less time compared to other on-site surveying methods, including GPS, robotic total stations and terrestrial laser scanners. The objective of this research is to use UAV technology to create topographical and vegetation mapping of coastal dune complexes with particular reference to the Brittas-Buckroney dune complex in Co. Wicklow. As the area of study site was about 60 hectares, it was divided into three sections, North, Centre and South. This paper presents the five steps to achieve the objective, setting ground control points, making an autonomous flight plan, flying the UAV for data collection, data processing and result analysis via ArcGIS. The final result, processed by specific software PIX4D, was a topographical map of the study site in the Irish Transverse Mercator coordinate system, with a resolution of 0.125 m and Root-Mean-Square (RMS) error 0.050 m. In conclusion, UAV technology provides new possibilities for mapping as it maximizes improvement of the data quality while reducing the investment in time and labour.
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Yoosef-Ghodsi, Nader, Da-Ming Duan, Qishi Chen, Randy Petersen, and Chengye Fan. "Finite Element Analysis of Flaw Growth History." In 2010 8th International Pipeline Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ipc2010-31418.
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Finite element models of curved wide plate (CWP) samples were used to generate a family of load-deformation curves, where each curve corresponds to a flaw with a constant depth. This family of curves was then compared to the test results to find the flaw depth corresponding to each load step using two techniques. One technique is based on mapping the crack mouth opening displacement (CMOD) response obtained from finite element analysis (FEA) and tests, while the other one is based on FEA and experimental unloading compliance data. Both the CMOD mapping and unloading compliance techniques were applied to six CWP specimens and the results from the two techniques were compared. The CWP specimens included flaws either at the centreline of the girth weld or at the heat affected zone (HAZ). Nominal flaw sizes were 3 or 5 mm deep by 25, 50 or 75 mm long. For all specimens, testing continued until either maximum load was reached or specimen rupture occurred. Failure strain, defined as the remote strain at peak load, ranged from 1.1% to 4.1%. The flaw growth history curves from the CMOD mapping and unloading compliance techniques for a given specimen were generally found to be in close agreement. The prediction of flaw growth at failure for the specimens with flaw in the weld was closer to the experimental flaw growth at failure than for the specimens with flaw in the HAZ. The average FEA to test ratio of the flaw growth at failure for these two groups of specimens was 0.95 and 0.6, respectively. Additional analyses were carried out to study the effect of HAZ softening and the shape of the input stress strain curves beyond the onset of necking.
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Chen, Yih-Jen D. "Smooth Surface Fitting and Finite Element Mesh Generation for Irregularly Distributed Data Points." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0372.
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Abstract This paper presents two computational methods for geometric modeling of curved surfaces represented by irregularly distributed data points. The study emphasizes irregularly distributed data points since this represents the most general case in geometric data interpretation. The first method is a direct mesh mapping procedure, which projects an relatively regular mesh to the complicated real surface. The second method is a surface fitting technique that reconstructs the mathematical surface model using piecewise bi-cubic parametric functions or B-spline functions. This data reconstruction method uses a normal-distance least-squares concept to generate the best fit. Recursive subdivision algorithm and quad tree data structure are applied to optimize the number of patches needed within the desired precision and thus minimize the computing time in the further processing of the surface model. A computer program based on the two computational methods in surface modeling has been developed and demonstrated by its engineering application. Its development provides an automated tool for design engineers and structure analysts to interpret and model complex surfaces derived from data points.
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Bull, Richard K., Ian Adsley, and Claire Burgess. "A Matrix-Inversion Method for Gamma-Source Mapping From Gamma-Count Data." In ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59082.
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Gamma ray counting is often used to survey the distribution of active waste material in various locations. Ideally the output from such surveys would be a map of the activity of the waste. In this paper a simple matrix-inversion method is presented. This allows an array of gamma-count data to be converted to an array of source activities. For each survey area the response matrix is computed using the gamma-shielding code Microshield [1]. This matrix links the activity array to the count array. The activity array is then obtained via matrix inversion. The method was tested on artificially-created arrays of count-data onto which statistical noise had been added. The method was able to reproduce, quite faithfully, the original activity distribution used to generate the dataset. The method has been applied to a number of practical cases, including the distribution of activated objects in a hot cell and to activated nimonic springs amongst fuel-element debris in vaults at a nuclear plant.
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Adsley, Ian, Richard K. Bull, and Claire Burgess. "A Matrix-Inversion Method for Gamma-Source Mapping From Gamma-Count Data." In ASME 2013 15th International Conference on Environmental Remediation and Radioactive Waste Management. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icem2013-96017.
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In a previous paper (1) it was proposed that a simple matrix inversion method could be used to extract source distributions from gamma-count maps, using simple models to calculate the response matrix. The method was tested using numerically generated count maps. In the present work a 100 kBq Co60 source has been placed on a gridded surface and the count rate measured using a NaI scintillation detector. The resulting map of gamma counts was used as input to the matrix inversion procedure and the source position recovered. A multisource array was simulated by superposition of several single-source count maps and the source distribution was again recovered using matrix inversion. The measurements were performed for several detector heights. The effects of uncertainties in source-detector distances on the matrix-inversion method are also examined. The results from this work give confidence in the application of the method to practical applications, such as the segregation of highly active objects amongst fuel-element debris.
Reports on the topic "Data element mapping"
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Corriveau, L., and E. G. Potter. Advancing exploration for iron oxide-copper-gold and affiliated deposits in Canada: context, scientific overview, outcomes, and impacts. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332495.
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The Geo-mapping for Energy and Minerals (GEM) and Targeted Geoscience Initiative (TGI) programs conducted extensive collaborative research on mineral systems with iron oxide-copper-gold (IOCG) and affiliated deposits in prospective settings of Canada. Regional alteration mapping as well as geochemical and geophysical modelling undertaken under the GEM program documented the evolution of polymetallic metasomatic systems with iron-oxide and alkali-calcic alteration and led to an increased recognition of the mineral potential of poorly explored areas and historic deposits of the Great Bear magmatic zone in the Northwest Territories, thus providing a solid framework for exploration. Early and barren albitite corridors form across the mineral systems and locally host uranium mineralization associated with telescoping of alteration facies by tectonic activity during the metasomatic growth of the systems. Subsequent to albitization, high-temperature Ca-Fe and Ca-K-Fe alteration form iron oxide-apatite (± rare-earth element) mineralization and IOCG variants rich in cobalt and other critical metals, respectively. Systems that further mature to K-Fe alteration form IOCG mineralization and can evolve to mineralized near-surface phyllic alteration and epithermal caps. Transitional facies also host polymetallic skarn mineralization. Rare-earth element enrichments within iron oxide-apatite zones are strongest where remobilization has occurred, particularly along deformation zones. The TGI projects documented the pertinence for a GEM activity in the Great Bear magmatic zone and subsequently synthesized GEM geoscientific data into a system-scale, ore-deposit model, and outlined criteria for mineral resource assessment. This model, and newly developed field-mapping and lithogeochemical tools were shown to be efficient mineral exploration and regional mapping methods in Canada and were also applied to the archetype IOCG deposit, Olympic Dam, and other deposits in the Olympic Cu-Au metallogenic province of Australia. Case examples also include the Romanet Horst in the Trans-Hudson Orogen (second phase of GEM), the Central Mineral Belt in Labrador (TGI), the Wanapitei Lake district in Ontario (private sector exploration results used by TGI), and the Bondy gneiss complex in Quebec (TGI).
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Ansari, S. M., E. M. Schetselaar, and J. A. Craven. Three-dimensional magnetotelluric modelling of the Lalor volcanogenic massive-sulfide deposit, Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/328003.
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Unconstrained magnetotelluric inversion commonly produces insufficient inherent resolution to image ore-system fluid pathways that were structurally thinned during post-emplacement tectonic activity. To improve the resolution in these complex environments, we synthesized the 3-D magnetotelluric (MT) response for geologically realistic models using a finite-element-based forward-modelling tool with unstructured meshes and applied it to the Lalor volcanogenic massive-sulfide deposit in the Snow Lake mining camp, Manitoba. This new tool is based on mapping interpolated or simulated resistivity values from wireline logs onto unstructured tetrahedral meshes to reflect, with the help of 3-D models obtained from lithostratigraphic and lithofacies drillhole logs, the complexity of the host-rock geological structure. The resulting stochastic model provides a more realistic representation of the heterogeneous spatial distribution of the electric resistivity values around the massive, stringer, and disseminated sulfide ore zones. Both models were combined into one seamless tetrahedral mesh of the resistivity field. To capture the complex resistivity distribution in the geophysical forward model, a finite-element code was developed. Comparative analyses of the forward models with MT data acquired at the Earth's surface show a reasonable agreement that explains the regional variations associated with the host rock geological structure and detects the local anomalies associated with the MT response of the ore zones.
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de Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.
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Heavy minerals (HMs) are minerals with a specific gravity greater than 2.9 g/cm3. They are commonly highly resistant to physical and chemical weathering, and therefore persist in sediments as lasting indicators of the (former) presence of the rocks they formed in. The presence/absence of certain HMs, their associations with other HMs, their concentration levels, and the geochemical patterns they form in maps or 3D models can be indicative of geological processes that contributed to their formation. Furthermore trace element and isotopic analyses of HMs have been used to vector to mineralisation or constrain timing of geological processes. The positive role of HMs in mineral exploration is well established in other countries, but comparatively little understood in Australia. Here we present the results of a pilot project that was designed to establish, test and assess a workflow to produce a HM map (or atlas of maps) and dataset for Australia. This would represent a critical step in the ability to detect anomalous HM patterns as it would establish the background HM characteristics (i.e., unrelated to mineralisation). Further the extremely rich dataset produced would be a valuable input into any future machine learning/big data-based prospectivity analysis. The pilot project consisted in selecting ten sites from the National Geochemical Survey of Australia (NGSA) and separating and analysing the HM contents from the 75-430 µm grain-size fraction of the top (0-10 cm depth) sediment samples. A workflow was established and tested based on the density separation of the HM-rich phase by combining a shake table and the use of dense liquids. The automated mineralogy quantification was performed on a TESCAN® Integrated Mineral Analyser (TIMA) that identified and mapped thousands of grains in a matter of minutes for each sample. The results indicated that: (1) the NGSA samples are appropriate for HM analysis; (2) over 40 HMs were effectively identified and quantified using TIMA automated quantitative mineralogy; (3) the resultant HMs’ mineralogy is consistent with the samples’ bulk geochemistry and regional geological setting; and (4) the HM makeup of the NGSA samples varied across the country, as shown by the mineral mounts and preliminary maps. Based on these observations, HM mapping of the continent using NGSA samples will likely result in coherent and interpretable geological patterns relating to bedrock lithology, metamorphic grade, degree of alteration and mineralisation. It could assist in geological investigations especially where outcrop is minimal, challenging to correctly attribute due to extensive weathering, or simply difficult to access. It is believed that a continental-scale HM atlas for Australia could assist in derisking mineral exploration and lead to investment, e.g., via tenement uptake, exploration, discovery and ultimately exploitation. As some HMs are hosts for technology critical elements such as rare earth elements, their systematic and internally consistent quantification and mapping could lead to resource discovery essential for a more sustainable, lower-carbon economy.
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McClenaghan, M. B., W. A. Spirito, S. J. A. Day, M. W. McCurdy, R. J. McNeil, and S. W. Adcock. Overview of Geo-mapping for Energy and Minerals program surficial geochemistry and indicator-mineral surveys and case studies in northern Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331421.
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As part of the Geo-mapping for Energy and Minerals (GEM) program, which ran from 2008 to 2020, the Geological Survey of Canada carried out reconnaissance-scale to deposit-scale geochemical and indicator-mineral surveys and case studies across northern Canada. In these studies, geochemical methods were used to determine the concentrations of 65 elements in lake-sediment, lake-water, stream-sediment, stream-water, and till samples across approximately 1 000 000 km2 of northern Canada. State-of the-art methods were used to examine the indicator-mineral signatures identified through regional-scale stream-sediment and till surveys. As a result of this research, areas with anomalous concentrations of elements and/or indicator minerals that are indicative of bedrock mineralization were identified, new mineral exploration models and protocols were developed, a new generation of geoscientists was trained, and knowledge was transferred to northern communities. The most immediate impact of the GEM surveys has been the stimulation of mineral exploration in Canada's north, with exploration efforts being focused on high mineral-potential areas identified in GEM regional-scale surveys. Regional- and deposit-scale studies demonstrated how transport data (till geochemistry, indicator minerals) and ice-flow indicator data can be used together to identify and understand complex ice flow and glacial transport. Detailed studies at the Izok Lake, Pine Point, Strange Lake, and Kiggavik deposits, and across the Great Bear magmatic zone, demonstrate new suites of indicator minerals that can now be used in future reconnaissance- and regional-scale stream-sediment and till surveys across Canada.
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McClenaghan, M. B., W. A. Spirito, S. J. A. Day, M. W. McCurdy, and R. J. McNeil. Overview of GEM surficial geochemistry and indicator mineral surveys and case studies in northern Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330473.
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As part of the Geo-mapping for Energy and Minerals (GEM) program between 2008 and 2020, the Geological Survey of Canada carried out reconnaissance-scale to deposit-scale geochemical and indicator mineral surveys and case studies across northern Canada. In these studies, geochemical methods were used to determine the concentrations of 65 elements in lake sediment, stream sediment, stream water, lake water and till samples across approximately 1,000,000 km2 of northern Canada. State-of the-art indicator methods were used to examine the indicator mineral signatures in regional-scale stream sediment and till surveys. This research identified areas with anomalous concentrations of elements and/or indicator minerals that are indicative of bedrock mineralization, developed new mineral exploration models and protocols, trained a new generation of geoscientists and transferred knowledge to northern communities. The most immediate impact of the GEM surveys has been the stimulation of mineral exploration in Canada's north, focussing exploration efforts into high mineral potential areas identified in GEM regional-scale surveys. Regional- and deposit-scale studies demonstrated how transport data (till geochemistry, indicator minerals) and ice flow indicator data can be used together to identify and understand complex ice flow and glacial transport. Detailed studies at the Izok Lake, Pine Point, Strange Lake, Amaruq deposits and across the Great Bear Magmatic Zone demonstrate new suites of indicator minerals that can now be used in future reconnaissance- and regional-scale stream sediment and till surveys across Canada.
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Brushett, D. M., C. E. Beckett-Brown, M. B. McClenaghan, R. C. Paulen, J. M. Rice, A. Haji Egeh, and P. Pelchat. Till geochemical data for the Brazil Lake pegmatite area, southwest Nova Scotia, Canada (NTS 21-A/04, 20-O/16 and 20-P/13): samples collected in 2020, 2021, and 2022. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332384.
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This open file reports geochemical data for till samples collected as a part of a till geochemical and surficial mapping project around the Brazil Lake lithium-cesium-tantalum (LCT-type) pegmatite in southwestern Nova Scotia (NTS map sheets 21A/04, 20O/16 and 20P/13). The global rise in lithium demand has motivated the Geological Survey of Canada's (GSC) recent investigations of the Brazil Lake pegmatites to study surficial geochemistry methods that can be used to explore for lithium and associated critical minerals (i.e., Cs, Ta, Be, In, Sn, W). These types of deposits are important sources of lithium, tin, and rubidium and the primary source of tantalum. This research at Brazil Lake is being undertaken as part of the GSC's Targeted Geoscience Initiative Program and has been carried out in partnership with the Nova Scotia Department of Natural Resources and Renewables (NSDNRR). The goals of the research are to increase exploration success in regions covered by glacial sediments by documenting how critical minerals and associated elements are glacially dispersed in till from pegmatites at the Brazil Lake property. Newly available LiDAR data assisted in deciphering ice flow trajectories, which in turn, allowed for targeted till sampling. A total of 184 till samples were collected for till geochemistry in 2020, 2021 and 2022 and the data reported here include widely spaced regional samples collected across southwest Nova Scotia, proximal samples collected up-ice, overlying, and down-ice of the Brazil Lake pegmatites. The widely spaced till samples provide the regional context for the interpretation of the case study samples and assess the potential for additional pegmatites buried by extensive till cover. Data reported in this Open File include sample descriptions, location, site photos, and geochemical analyses of the coarse sand (1.0 - 2.0 mm) and silt + clay (<0.063 mm) fractions. For the 2020 samples only, the <0.002 mm (clay) fraction was also analyzed. Analyses over the 3 years (2020-2021-2022) include various combinations of different digestions or fusions to test and compare their efficacy for the various pathfinder elements for LCT pegmatites: aqua regia (partial) digestion, 2) Na peroxide fusion (total), 3) 4-acid (near total) digestion, 4) Li-meta/tetraborate fusion, 5) loss on ignition, and 6) portable X-ray fluorescence (XRF).
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Fromm, Hillel, Paul Michael Hasegawa, and Aaron Fait. Calcium-regulated Transcription Factors Mediating Carbon Metabolism in Response to Drought. United States Department of Agriculture, June 2013. http://dx.doi.org/10.32747/2013.7699847.bard.
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Original objectives: The long-term goal of the proposed research is to elucidate the transcription factors, genes and metabolic networks involved in carbon metabolism and partitioning in response to water deficit. The proposed research focuses on the GTLcalcium/calmodulinbindingTFs and the gene and metabolic networks modulated by these TFs in Arabidopsis thaliana. The specific objectives are as follows. Objective-1 (USA): Physiological analyses of GTL1 loss- and gain-of-function plants under water sufficient and drought stress conditions Objective 2 (USA / Israel-TAU): Characterizion of GTL target genes and bioinformatic analysis of data to eulcidate gene-network topology. Objective-3 (Israel-TAU): Regulation of GTLmediated transcription by Ca²⁺/calmodulin: mechanism and biological significance. Objective-4 (Israel-BGU): Metabolic networks and carbon partitioning in response to drought. Additional direction: In the course of the project we added another direction, which was reported in the 2nd annual report, to elucidate genes controlling drought avoidance. The TAU team has isolated a few unhydrotropic (hyd) mutants and are in the process of mapping these mutations (of hyd13 and hyd15; see last year's report for a description of these mutants under salt stress) in the Arabidopsis genome by map-based cloning and deep sequencing. For this purpose, each hyd mutant was crossed with a wild type plant of the Landsberg ecotype, and at the F2 stage, 500-700 seedlings showing the unhydrotropic phenotype were collected separately and pooled DNA samples were subkected to the Illumina deep sequencing technology. Bioinformatics were used to identify the exact genomic positions of the mutations (based on a comparison of the genomic sequences of the two Arabidopsis thaliana ecotypes (Columbia and Landsberg). Background: To feed the 9 billion people or more, expected to live on Earth by the mid 21st century, the production of high-quality food must increase substantially. Based on a 2009 Declaration of the World Summit on Food Security, a target of 70% more global food production by the year 2050 was marked, an unprecedented food-production growth rate. Importantly, due to the larger areas of low-yielding land globally, low-yielding environments offer the greatest opportunity for substantial increases in global food production. Nowadays, 70% of the global available water is used by agriculture, and 40% of the world food is produced from irrigated soils. Therefore, much needs to be done towards improving the efficiency of water use by plants, accompanied by increased crop yield production under water-limiting conditions. Major conclusions, solutions and achievements: We established that AtGTL1 (Arabidopsis thaliana GT-2 LIKE1) is a focal determinant in water deficit (drought) signaling and tolerance, and water use efficiency (WUE). The GTL1 transcription factor is an upstream regulator of stomatal development as a transrepressor of AtSDD1, which encodes a subtilisin protease that activates a MAP kinase pathway that negatively regulates stomatal lineage and density. GTL1 binds to the core GT3 cis-element in the SDD1 promoter and transrepresses its expression under water-sufficient conditions. GTL1 loss-of-function mutants have reduced stomatal number and transpiration, and enhanced drought tolerance and WUE. In this case, higher WUE under water sufficient conditions occurs without reduction in absolute biomass accumulation or carbon assimilation, indicating that gtl1-mediated effects on stomatal conductance and transpiration do not substantially affect CO₂ uptake. These results are proof-of-concept that fine-tuned regulation of stomatal density can result in drought tolerance and higher WUE with maintenance of yield stability. Implications: Accomplishments during the IS-4243-09R project provide unique tools for continued discovery research to enhance plant drought tolerance and WUE.
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Guy, Charles, Gozal Ben-Hayyim, Gloria Moore, Doron Holland, and Yuval Eshdat. Common Mechanisms of Response to the Stresses of High Salinity and Low Temperature and Genetic Mapping of Stress Tolerance Loci in Citrus. United States Department of Agriculture, May 1995. http://dx.doi.org/10.32747/1995.7613013.bard.
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The objectives that were outlined in our original proposal have largely been achieved or will be so by the end of the project in February 1995 with one exception; that of mapping cold tolerance loci based on the segregation of tolerance in the BC1 progeny population. Briefly, our goals were to 1) construct a densely populated linkage map of the citrus genome: 2) map loci important in cold and/or salt stress tolerance; and 3) characterize the expression of genes responsive to cold land salt stress. As can be seen by the preceding listing of accomplishments, our original objectives A and B have been realized, objective C has been partially tested, objective D has been completed, and work on objectives E and F will be completed by the end of 1995. Although we have yet to map any loci that contribute to an ability of citrus to maintain growth when irrigated with saline water, our very encouraging results from the 1993 experiment provides us with considerable hope that 1994's much more comprehensive and better controlled experiment will yield the desired results once the data has been fully analyzed. Part of our optimism derives from the findings that loci for growth are closely linked with loci associated with foliar Cl- and Na+ accumulation patterns under non-salinization conditions. In the 1994 experiment, if ion exclusion or sequestration traits are segregating in the population, the experimental design will permit their resolution. Our fortunes with respect to cold tolerance is another situation. In three attempts to quantitatively characterize cold tolerance as an LT50, the results have been too variable and the incremental differences between sensitive and tolerant too small to use for mapping. To adequately determine the LT50 requires many plants, many more than we have been able to generate in the time and space available by making cuttings from small greenhouse-grown stock plants. As it has turned out, with citrus, to prepare enough plants needed to be successful in this objective would have required extensive facilities for both growing and testing hardiness which simply were not available at University of Florida. The large populations necessary to overcome the variability we encountered was unanticipated and unforeseeable at the project's outset. In spite of the setbacks, this project, when it is finally complete will be exceedingly successful. Listing of Accomplishments During the funded interval we have accomplished the following objectives: Developed a reasonably high density linkage map for citrus - mapped the loci for two cold responsive genes that were cloned from Poncirus - mapped the loci for csa, the salt responsive gene for glutathione peroxidase, and ccr a circadian rhythm gene from citrus - identified loci that confer parental derived specific DNA methylation patterns in the Citrus X Poncirus cross - mapped 5 loci that determine shoot vigor - mapped 2 loci that influence leaf Na+ accumulation patterns under non-saline conditions in the BC1 population - mapped 3 loci that influence leaf Na+ accumulation paterns during salt sress - mapped 2 loci that control leaf Cl- accumulation patterns under non-saline conditions - mapped a locus that controls leaf Cl- accumulation patterns during salt stress Screened the BC1 population for growth reduction during salinization (controls and salinized), and cold tolerance - determined population variation for shoot/root ratio of Na+ and Cl- - determined levels for 12 inorganic nutrient elements in an effort to examine the influence of salinization on ion content with emphasis on foliar responses - collected data on ion distribution to reveal patterns of exclusion/sequestration/ accumulation - analyzed relationships between ion content and growth Characterization of gene expression in response to salt or cold stress - cloned the gene for the salt responsive protein csa, identified it as glutathione peroxidase, determined the potential target substrate from enzymatic studies - cloned two other genes responsive to salt stress, one for the citrus homologue of a Lea5, and the other for an "oleosin" like gene - cold regulated (cor) genes belonging to five hybridization classes were isolated from Poncirus, two belonged to the group 2 Lea superfamily of stress proteins, the others show no significant homology to other known sequences - the expression of csa during cold acclimation was examined, and the expression of some of the cor genes were examined in response to salt stress - the influence of salinization on cold tolerance has been examined with seedling populations - conducted protein blot studies for expression of cold stress proteins during salt stress and vice versa
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McLemore, Virginia T., Nels Iverson, Snir Woodard, Haley Dietz, Evan Owen, Ethan B. Haft, Tristan Childress, Amy Trivitt, and Richard Kelley. Geology and Mineral Deposits of the Cornudas Mountains, Otero County, New Mexico. New Mexico Bureau of Geology and Mineral Resources, 2022. http://dx.doi.org/10.58799/ofr-619.
Full textAbstract:
Re-examination of the rare earth elements (REE) deposits in the Cornudas Mountains is warranted in light of today's economic importance of critical minerals, including REE that are essential in most of our electronic devices. New mapping, petrography, 40Ar/39Ar geochronology, and geochemical analyses have provided a better understanding of the emplacement of these intrusions and associated mineral deposits. The Cornudas Mountains form the northern Trans-Pecos alkaline magmatic province in the southern part of the North American Cordilleran alkaline-igneous belt. The igneous rocks in the Cornudas Mountains were emplaced in two pulses at 37.14-34.5 and 32.48-26.95 Ma, just prior to or during the early phases of Rio Grande rift extension, and consist of 1) larger nepheline syenite-syenite laccoliths and plugs, 2) phonolite plugs, sills, and dikes, 3) smaller syenite plugs and dikes that intrude Permian and Cretaceous sedimentary rocks, and 4) volcanic breccia dikes. New USGS geophysical data indicate that some of these intrusions extend deep into the subsurface, with additional buried intrusions potentially at depth. The focus of REE exploration is along the lower unit (PEnsp2) of the Wind Mountain nepheline syenite laccolith, as well as within syenite-phonolite and volcanic breccia dikes, plugs and skarns and carbonate-replacement deposits in Chess Draw. Some samples contain as much as 3110 ppm total REE. REE could be leached from a mineral concentrate of the REE-bearing minerals (eudialyte, zircon, monazite, bastnasite, calcio-catapleiite, vitusite, roumaite, xenotime). We incorporate whole rock and clinopyroxene chemistry of each intrusion into the clinopyroxene-liquid geothermobarometer (Masotta, 2013) to determine the temperatures and pressures of emplacement. This thermometer provides higher crystallization temperature estimates for the syenite intrusions (857-1027 deg. C) than the phonolite sills (760-869 deg. C). We then use the barometric estimates (0.3-3.3 kbar) to calculate emplacement depths (1.2-12.3 km). Pairing these depths with the new geochronology, minimum exhumation rates for intrusions in the Cornudas Mountains are estimated that range from 0.04-0.34 mm/yr crystallization temperatures and exhumation rates provide additional information to aid in developing a model for the formation of REE deposits.