Relevant bibliographies by topics / Rich Data Set

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Rich Data Set'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Rich Data Set"

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Papoušek, Jan, Radek Pelánek, and Vít Stanislav. "Adaptive Geography Practice Data Set." Journal of Learning Analytics 3, no. 2 (2016): 317–21. http://dx.doi.org/10.18608/jla.2016.32.17.

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We present a data set on student learning of geography facts in an open online system slepemapy.cz. The data set has simple format with intuitive interpretation. At the same time it offers rich possibilities for modelling and analysis, for example of prior knowledge, forgetting or response times.
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Tabuenca, Bernardo, and Dirk Börner. "Noise in Classrooms Data Set." Journal of Learning Analytics 3, no. 2 (2016): 325–29. http://dx.doi.org/10.18608/jla.2016.32.19.

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We present a data set comprising noise samples collected during 26 sessions of the subject “Technology” of Secondary Education studies with a mobile device. The data set includes rich metadata with the aim to facilitate the correlation with further studies, namely, type of session (i.e. traditional face-to-face lecture, collaborative workshop session, individual computer session), the number of students participating in the session, the percentage of male/female students, the mean age of the students, timestamp when the sample was collected, language of the session, country, city and location
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Zhu, Sirui, Glareh Amirjamshidi, and Matthew J. Roorda. "Data Fusion of Commercial Vehicle GPS and Roadside Intercept Survey Data." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 44 (2018): 10–20. http://dx.doi.org/10.1177/0361198118768516.

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GPS tracking technology produces large amounts of data which represent samples of the commercial vehicle population that are much larger than conventional commercial travel surveys. However, passively collected GPS data lack behavioral detail that a conventional survey offers. This study develops a data fusion method to impute variables of interest for a large GPS data set, by establishing a link to a behaviorally rich commercial travel survey data set. As a case study, this study uses detailed information from the Ministry of Transportation of Ontario’s Commercial Vehicle Survey (CVS), a truc
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Roberto, Paiano, and Pasanisi Stefania. "BRAIN Journal - A New Challenge for Information Mining." BRAIN: Broad Research in Artificial Intelligence and Neuroscience 8, no. 2 (2017): 63–80. https://doi.org/10.5281/zenodo.1045363.

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ABSTRACT In the field of "Data Exploration" many approaches have been developed to solve the problem of management of big data that are also semantically rich. Nowadays, there is a strong need to support the discovery-oriented applications where data discovery is a highly ad hoc interactive process to support the users by assisting the navigation in the data to find interesting objects. In this work starting by a theoretical data exploration system, where we identified the main features that a data exploration system must have to an efficient exploratory experience, we propose a combination of
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O'Donoghue, Aileen A., Jean A. Eilek, and Frazer N. Owen. "Observations of Straight-angle Tailed Radio Galaxies in Rich Clusters of Galaxies." Symposium - International Astronomical Union 175 (1996): 349–50. http://dx.doi.org/10.1017/s0074180900081067.

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We have begun VLA observations of straight-angle tailed radio sources (SATs) at 1.5 and 4.8 GHz (L and C band) to achieve one arcsecond resolution at each frequency. This will provide a SAT data set similar to the O'Donoghue, Owen, and Eilek (1990) WAT data set with both total intensity and spectral index information. We will use these data to examine morphological and dynamical properties of straight-tailed radio sources in clusters of galaxies.
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Matney, Susan A., Theresa (Tess) Settergren, Jane M. Carrington, Rachel L. Richesson, Amy Sheide, and Bonnie L. Westra. "Standardizing Physiologic Assessment Data to Enable Big Data Analytics." Western Journal of Nursing Research 39, no. 1 (2016): 63–77. http://dx.doi.org/10.1177/0193945916659471.

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Disparate data must be represented in a common format to enable comparison across multiple institutions and facilitate Big Data science. Nursing assessments represent a rich source of information. However, a lack of agreement regarding essential concepts and standardized terminology prevent their use for Big Data science in the current state. The purpose of this study was to align a minimum set of physiological nursing assessment data elements with national standardized coding systems. Six institutions shared their 100 most common electronic health record nursing assessment data elements. From
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Yan, Su, W. Scott Spangler, and Ying Chen. "Chemical Name Extraction Based on Automatic Training Data Generation and Rich Feature Set." IEEE/ACM Transactions on Computational Biology and Bioinformatics 10, no. 5 (2013): 1218–33. http://dx.doi.org/10.1109/tcbb.2013.101.

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Zeynali, Ali, Bo Sun, Mohammad Hajiesmaili, and Adam Wierman. "Data-driven Competitive Algorithms for Online Knapsack and Set Cover." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (2021): 10833–41. http://dx.doi.org/10.1609/aaai.v35i12.17294.

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The design of online algorithms has tended to focus on algorithms with worst-case guarantees, e.g., bounds on the competitive ratio. However, it is well-known that such algorithms are often overly pessimistic, performing sub-optimally on non-worst-case inputs. In this paper, we develop an approach for data-driven design of online algorithms that maintain near-optimal worst-case guarantees while also performing learning in order to perform well for typical inputs. Our approach is to identify policy classes that admit global worst-case guarantees, and then perform learning using historical data
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Arslan, Ruben C. "How to Automatically Document Data With the codebook Package to Facilitate Data Reuse." Advances in Methods and Practices in Psychological Science 2, no. 2 (2019): 169–87. http://dx.doi.org/10.1177/2515245919838783.

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Data documentation in psychology lags behind not only many other disciplines, but also basic standards of usefulness. Psychological scientists often prefer to invest the time and effort that would be necessary to document existing data well in other duties, such as writing and collecting more data. Codebooks therefore tend to be unstandardized and stored in proprietary formats, and they are rarely properly indexed in search engines. This means that rich data sets are sometimes used only once—by their creators—and left to disappear into oblivion. Even if they can find an existing data set, rese
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Zhao, Wayne Xin, Gaole He, Kunlin Yang, et al. "KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems." Data Intelligence 1, no. 2 (2019): 121–36. http://dx.doi.org/10.1162/dint_a_00008.

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To develop a knowledge-aware recommender system, a key issue is how to obtain rich and structured knowledge base (KB) information for recommender system (RS) items. Existing data sets or methods either use side information from original RSs (containing very few kinds of useful information) or utilize a private KB. In this paper, we present KB4Rec v1.0, a data set linking KB information for RSs. It has linked three widely used RS data sets with two popular KBs, namely Freebase and YAGO. Based on our linked data set, we first preform qualitative analysis experiments, and then we discuss the effe
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Dissertations / Theses on the topic "Rich Data Set"

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Costa, Yuri Gonzaga Gonçalves da. "Desenvolvimento e implementação em FPGA de um compressor sem perdas de baixa complexidade para imagens de satélite." Universidade Federal da Paraí­ba, 2012. http://tede.biblioteca.ufpb.br:8080/handle/tede/6071.

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Made available in DSpace on 2015-05-14T12:36:33Z (GMT). No. of bitstreams: 1 Arquivototal.pdf: 3633724 bytes, checksum: f53669bf4f692585666fd625941bdbe0 (MD5) Previous issue date: 2012-07-31<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The amount of data generated and transmitted by satellites to ground stations is always growing. As the technology advances, space imaging systems, especially those present in Earth observing missions, use equipment of increasing resolutions. Hence, it is necessary to ensure that this great quantity of data arrives at their destination rel
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Yeh, Tsun-Hao, and 葉存皓. "Differential expression analysis from RNA-seq data upon different osmotic treatments during submergence in rice seedlings (Oryza sativa L.)." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5417015%22.&searchmode=basic.

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碩士<br>國立中興大學<br>農藝學系所<br>107<br>With the climate change in the world, the frequency of heavy rain and typhoon increased by global warming. The heavy rain and typhoon might result in crop yield reduction. Submergence not only causes hypoxic stress but osmotic stress. The physiological responses and molecular mechanism of hypoxia have been well studied, but there are limited studies in osmotic under submergence. To better understand the mechanisms of the osmotic submergence examined the responses of IR64-Sub1 under submergence (Sub), submergence combined with mannitol (Sub+Man) or sodium chlorid
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Piebiep, Goufo. "Appropriate set of pre- and post-harvest treatments for obtaining high levels of aromas and quality in fragrant rice (Oryza sativa L.)." Doctoral thesis, 2010. http://hdl.handle.net/10348/8936.

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A dissertation submitted in partial fulfillment of the requirement for the degree of Doctor of Philosophy (Ph.D.) in CROP SCIENCE (first-level discipline), CROP CULTIVATION AND FARMING SYSTEM (second-level discipline)<br>Aromatic rices (Oryza sativa L.) constitute a special group of rice accessions well known for their aroma and/or superfine grain quality. For a successful development of aromatic rices, research regarding factors affecting the quality of the aroma is of economic interest to rice growers and processors. Therefore, this study was conducted as a preliminary step towards the ric
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Books on the topic "Rich Data Set"

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Bounegru, Liliana, and Jonathan Gray, eds. The Data Journalism Handbook. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789462989511.

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The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the news, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It als
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SED, 2004 (2004 Heidelberg Germany). The spectral energy distributions of gas-rich galaxies: Confronting models with data : international workshop, Heidelberg, Germany, 4-8 October 2004 : SED 2004 Heidelberg. American Institute of Physics, 2005.

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Mazzoni, Stefania, and Franca Pecchioli, eds. The Uşaklı Höyük Survey Project (2008-2012). Firenze University Press, 2016. http://dx.doi.org/10.36253/978-88-6655-902-3.

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This book presents the results of the survey conducted by the University of Florence, in the years 2008-2012, at the site and in the surrounding territory of U&amp;#351;akl&amp;#305; Höyük on the central Anatolian plateau in Turkey. Geological, geomorphological, topographic and geophysical research have provided new information and data relating to the environment and the settlement landscape, as well as producing new maps of the area and indicating the presence of large buried buildings on the site. Analysis of the rich corpus of pottery collected from the surface indicates that the site and
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Owens, Jonathan. History. Edited by Jonathan Owens. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199764136.013.0020.

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This article discusses the history of the Arabic language. It argues that Arabic should have a privileged place within historical linguistics. It is one of the few languages in the world for which a wealth of data exists both in the far-flung contemporary Arabic-speaking world and in a rich Classical tradition attested beginning 1400 years ago. Issues of maintenance and change, central concepts in historical linguistics, can be interpreted against a rich set of data. That they have not resides in the fact that basic concepts of historical linguistics have rarely been systematically applied to
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Evans, Nicholas. Polysynthesis in Dalabon. Edited by Michael Fortescue, Marianne Mithun, and Nicholas Evans. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199683208.013.43.

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This chapter gives a sketch of how polysynthesis behaves in Dalabon, a polysynthetic language of Arnhem Land belonging to the Gunwinyguan family. It focuses on synchronic issues; some additional features of Dalabon which are better understood in a diachronic perspective and hence require comparative data from other Gunwinyguan languages are discussed in Chapter 19. Particularly interesting are the rich set of adverbial prefixes to the verb, the complex methods for modifying valency (stem thematic alternations, applicatives, and reflexive/reciprocal suffixes), the rich incorporation possibiliti
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Mitchell, Erik. Metadata Standards and Web Services in Libraries, Archives, and Museums. ABC-CLIO, LLC, 2015. http://dx.doi.org/10.5040/9798400685026.

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Metadata in library information environments is evolving rapidly. This book provides readers with a set of tools for designing, developing, and implementing metadata-rich information systems while also examining the challenges and opportunities in this field. As the world of library and information science has developed in the age of digital information, metadata and metadata-rich information systems have become increasingly important—and more complex and confusing. This book will enable students, instructors, and practitioners in the information science field to understand how these new syste
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Rönkkö, Risto, Stuart Rutherford, and Kunal Sen. The impact of the COVID-19 pandemic on the poor: Insights from the Hrishipara diaries. 46th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/984-6.

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In this paper, we examine the economic impact of the COVID-19 pandemic on the livelihoods of the poor. We use an unusually rich data set from a ‘financial diaries’ study known as the Hrishipara Daily Diaries Project. The data set tracks the economic and financial transactions of 60 individuals and their families in a semi-rural setting in Bangladesh on a real-time basis from October 2019 to September 2020. We document individual diarists’ behavioural responses to COVID-19, which reveal the varied experiences of the poor during the pandemic. We find that the pandemic and associated government l
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Audring, Jenny, and Francesca Masini, eds. The Oxford Handbook of Morphological Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199668984.001.0001.

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Morphology, the science of words, is a complex theoretical landscape, where a multitude of frameworks, each with their own tenets and formalism, compete for the explanation of linguistic facts. The Oxford Handbook of Morphological Theory is a comprehensive guide through this jungle of morphological theories. It provides a rich and up-to-date overview of theoretical frameworks, from Structuralism to Optimality Theory and from Minimalism to Construction Morphology. In the core part of the handbook (Part II), each theory is introduced by a practitioner, who guides the reader through its principle
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Cieri, Christopher, Lauren Hall-Lew, Katie Drager, and Malcah Yaeger-Dror, eds. Dimensions of Linguistic Variation. Oxford University PressNew York, 2025. https://doi.org/10.1093/oso/9780197533499.001.0001.

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Abstract This book investigates evidence for the myriad factors which influence language variation and change, and considers how to best account for these factors in data collection and metadata coding. Given linguists’ increasing ability to preserve and share data, questions arise around the possibility of comparing data from different communities: how should a corpus builder model, elicit, encode, analyze, and archive data, which has been collected from highly diverse groups of language users, from situations beyond the sociolinguistic interview, in a way that supports reuse, comparison acro
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Uysal, Suzan, and David L. Reich. Assessment of Postoperative Cognitive Decline. Edited by David L. Reich, Stephan Mayer, and Suzan Uysal. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190280253.003.0007.

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Neurocognitive outcome studies are a potentially rich source of information for evidence-based approaches to neuroprotection. This chapter provides a critical examination of assessment methods for studying postoperative cognitive decline (POCD), with regard to definition of the phenomenon, the role of hypotheses regarding mechanisms and localization of neural injury, and psychometric considerations for the design of POCD assessment protocols. It also describes an approach to conducting clinical neuropsychological assessments outside of research contexts for patients who present with signs or s
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Book chapters on the topic "Rich Data Set"

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Menzel, Karsten, and Andriy Hryshchenko. "Business Modelling for Smart Continual Commissioning in ESCO Set-Ups." In Collaboration in a Data-Rich World. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65151-4_29.

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Berthet, Valentine, Barbara Gaweda, Johanna Kantola, Cherry Miller, Petra Ahrens, and Anna Elomäki. "Set up: The European Parliament." In Guide to Qualitative Research in Parliaments. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39808-7_2.

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AbstractPrior to conducting any research, it is crucial to understand and familiarise oneself with the research context and setting. The chapter provides an overview of the existing research on the European Parliament and its political groups, as well as key information on the Parliament as a setting for qualitative research. Following the step-by-step approach of the book, Chapter 2 provides the readers with key preliminary insights about the European Parliament with regard to conducting qualitative research. It engages with key concepts in qualitative research on parliaments and discusses th
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Yajima, Naonari, Toshi H. Arimura, and Taisuke Sadayuki. "Energy Consumption in Transition: Evidence from Facility-Level Data." In Economics, Law, and Institutions in Asia Pacific. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6964-7_8.

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Abstract This chapter estimated the impact of the Tokyo emissions trading scheme (ETS) and Saitama ETS on energy consumption in the manufacturing sector using a facility-level panel data set compiled from the Current Survey of Energy Consumption, a nationwide survey on energy consumption conducted by the Agency for Natural Resources and Energy in Japan. To our knowledge, no study has used this rich data set to perform sophisticated econometric analyses. We found that the Tokyo ETS reduced electricity consumption by 16%. On the other hand, we did not find evidences of switching from dirty fossi
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Hsu, Tzu-Han, César Sánchez, and Borzoo Bonakdarpour. "Bounded Model Checking for Hyperproperties." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72016-2_6.

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AbstractThis paper introduces a bounded model checking (BMC) algorithm for hyperproperties expressed in HyperLTL, which — to the best of our knowledge — is the first such algorithm. Just as the classic BMC technique for LTL primarily aims at finding bugs, our approach also targets identifying counterexamples. BMC for LTL is reduced to SAT solving, because LTL describes a property via inspecting individual traces. Our BMC approach naturally reduces to QBF solving, as HyperLTL allows explicit and simultaneous quantification over multiple traces. We report on successful and efficient model checki
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Angriman, Eugenio, Alexander van der Grinten, Michael Hamann, Henning Meyerhenke, and Manuel Penschuck. "Algorithms for Large-Scale Network Analysis and the NetworKit Toolkit." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-21534-6_1.

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AbstractThe abundance of massive network data in a plethora of applications makes scalable analysis algorithms and software tools necessary to generate knowledge from such data in reasonable time. Addressing scalability as well as other requirements such as good usability and a rich feature set, the open-source software NetworKit has established itself as a popular tool for large-scale network analysis. This chapter provides a brief overview of the contributions to NetworKit made by the SPP 1736. Algorithmic contributions in the areas of centrality computations, community detection, and sparsi
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Watson, Janet C. E., Erik Anonby, and Miranda J. Morris. "Harvesting the Sea in Southeastern Arabia." In Semitic Languages and Cultures. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0409.00.

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The Arabian Peninsula has long been home to peoples subsisting where often-inhospitable coasts meet the historically rich and productive marine ecosystems. This chapter introduces the first volume of Harvesting the Sea, a collection of studies on three main regions of southern and eastern Arabia: the Musandam Peninsula, Dhofar and al-Mahrah, and the island of Soqotra. The authors set out the purpose and scope of the work – exploring and reflecting on traditional maritime livelihoods of the region through oral literature, traditional scientific knowledge, and ocean-related resources and activit
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Culotta, Fabrizio. "Given N forecasting models, what to do?" In Proceedings e report. Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.55.

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This work evaluates the forecasting performances of different models using data on Italian unemployment and employment rates over the years 2004-2022 at the monthly frequency. The logic of this work is inspired by the series of M-Competitions, i.e. the tradition of competitions organized to test the forecasting performances of classical and innovative models. Given N competing models, only one winner is selected. The types of forecasting models range from the Exponential Smoothing family to ARIMA-like models, to their hybridization, to machine learning and neural network engines. Model combina
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Zeng, Yixuan, Qiaoming Deng, and Yubo Liu. "Research on the Spatial Layout Design of University Educational Buildings Based on Rule Screening and Multi-agent System." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8637-6_5.

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AbstractUnlike traditional empiricism-based building design, the data-oriented quantitative analysis method is more rigorous and intuitive, taking into account a variety of factors such as site conditions, functional requirements and design specifications, and combining computer technology to propose a more rational and efficient design strategy. This study takes the design logic process and algorithm rule screening as the entry point to explore the design method of using multi-agent body algorithm planning to realize the spatial layout of university education buildings. Based on multi-agent a
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Tavazzi, Erica, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, and Michel A. Cuendet. "A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset." In Lecture Notes in Business Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72693-5_22.

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AbstractThanks to its ability to offer a time-oriented perspective on the clinical events that define the patient’s path of care, Process Mining (PM) is assuming an emerging role in clinical data analytics. PM’s ability to exploit time-series data and to build processes without any a priori knowledge suggests interesting synergies with the most common statistical analyses in healthcare, in particular survival analysis. In this work we demonstrate contributions of our process-oriented approach in analyzing a real-world retrospective dataset of patients treated for advanced melanoma at the Lausa
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Carleton, Tamara, and Falk Uebernickel. "How to Start Strong: Different Approaches for Crafting Project Briefs with Corporate Sponsors for Global Innovation and STEM-Based Team Projects." In Contributions from Science Education Research. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78720-1_7.

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Abstract The project brief is considered a pivotal component in corporate-sponsored student projects, yet many university teaching teams lack guidelines and best practices to define, frame, evaluate, and change these briefs with sponsors. We examine a rich data set of 68 project briefs used by 19 partner universities across a decade (2012–2022), drawn from a long-running project course taught at Stanford University and a related academic spinoff consortium called the SUGAR Network. All projects share a similar pedagogy for global innovation challenges and STEM-based team projects. Our study fo
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Conference papers on the topic "Rich Data Set"

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Pint, B. A. "Performance of Al-Rich Oxidation Resistant Coatings for Fe-Base Alloys." In AM-EPRI 2010, edited by D. Gandy, J. Shingledecker, and R. Viswanathan. ASM International, 2010. http://dx.doi.org/10.31399/asm.cp.am-epri-2010p0839.

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Abstract Diffusion aluminide coatings have been evaluated as a strategy for improving the oxidation resistance of austenitic and ferritic-martensitic (FM) steels, particularly in the presence of steam or water vapor. The objective was to evaluate the strengths and weaknesses of these coatings and quantify their performance and lifetime. Long-term diffusion and oxidation experiments were conducted to study the behavior of various model diffusion coatings and produce a better data set for lifetime predictions. The key findings are that (1) thin coatings (&amp;lt;50μm) with relatively low Al cont
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Tombaugh, Raymond S., John S. Quincy, and Matt Randall. "Rapid Installation of Replacement Connection Plates on the County of Placer/Foresthill Road Bridge – a Novel Engineered Approach to a Unique Set of Challenges." In SSPC 2014 Greencoat. SSPC, 2014. https://doi.org/10.5006/s2014-00058.

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Abstract The seismic retrofitting of the County of Placer/Foresthill Road Bridge included replacing the gusset plates at the bolted connection points on the structure. Newly fabricated connection plates were prepared in the steel fabrication shop by abrasive blast cleaning and applying an inorganic zinc-rich primer. Existing connection plates were removed and the surfaces beneath abrasive blast cleaned and primed on-site with an organic (epoxy) zinc-rich primer. The connections were slip-critical. The coating manufacturer did not have historical test data to demonstrate the slip coefficient cl
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Battocchi, Dante, Alda Simoes, Gordon Bierwagen, Dennis Tallman, and Anthony Stamness. "The Use of Multiple Electrochemical Techniques to Characterize Mg-rich Primers for Al Alloys." In CORROSION 2006. NACE International, 2006. https://doi.org/10.5006/c2006-06250.

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Abstract To insure that the corrosion protective behavior of Mg-rich primers1 (MRPs) over Al aircraft alloys is properly understood, multiple electrochemical techniques have been utilized to characterize the behavior of this class of Cr-free coatings. To confirm that the MRPs did indeed provide cathodic, sacrificial protection to these alloys, the corrosion potential of the mixed Al-Mg system (Ecorrmixed),, the Open Circuit Potential (OCP), can be used to show when the potential of the alloy substrate is modified by contact with the Mg to yield a potential cathodic to the Al Alloy (Ecorralloy)
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Yuan, Xuming, Ashish Yewale, and Brahim Benyahia. "Systematic Model Builder, Model-Based Design of Experiments, and Design Space Identification for A Multistep Pharmaceutical Process � Toward Quality by Digital Design." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.178659.

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This study aims at developing a holistic approach to establish robust mathematical models of integrated and interactive multistep processes, while systematically identifying the corresponding design space and acceptable operating region (AOR). The overall objective is to reduce the experimentation costs, enhance accuracy of integrated metathetical models, and deliver built-in quality assurance based on a new Quality by Digital Design (QbDD) paradigm. This methodology starts with the construction of a set of model candidates for different unit operations, based on the prior knowledge and inhere
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DeVilbiss, Jerome L. "A Web-Based FRP Equipment Specifications Generation Tool." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00554.

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Abstract This new website allows a specifying engineer anywhere in the world to enter information for FRP equipment, and then, with the stroke of a key, generate and retrieve a complete set of FRP equipment specifications in industry-standard CSI format. This information includes project information, equipment information, process chemistry data, standards information, other special requirements, etc. Bid documents may also be created. The specifications and documents are delivered via email in rich text format (.rtf) which enables the user to make any final changes. This website enables engin
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DeVilbiss, Jerome L. "An FRP Specifications Generation Tool for Bleach Plant Tanks and Towers." In CORROSION 2001. NACE International, 2001. https://doi.org/10.5006/c2001-01421.

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Abstract Bleach plant tanks and towers are critical equipment that must perform reliably in a highly corrosive process environment over an extended service life. To assure the necessary quality to withstand this environment, while also assuring competitive bidding, the new equipment must be rigorously specified and the bidding process must be carefully controlled. A new website has been created that enables the specifying engineer to generate a complete set of equipment specifications and bidding documents for bleach plant tanks and towers. Similar FRP equipment specifications for bleach plant
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Stern, Roger, Ric Coe, and David Stern. "Still coming down from the mountains." In Teaching Statistics in a Data Rich World. International Association for Statistical Education, 2017. http://dx.doi.org/10.52041/srap.17606.

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Statistics has changed in many ways since the 1960s, when many African countries became independent. Among these changes are an increasing emphasis on data and a set of unifying principles that can simplify the teaching of statistical modelling. These changes have yet to impact training in statistics in many countries. Access to technology is needed if these changes are to be incorporated into statistics teaching, and this is now feasible in many African unive
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Iacullo, Gerald. "Problem-based learning as a pedagogical approach for preparing statistics graduates." In Teaching Statistics in a Data Rich World. International Association for Statistical Education, 2017. http://dx.doi.org/10.52041/srap.17313.

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The purpose of this study was to explore selected reform-oriented practices centered on Problem- based Learning (PBL). The target group was developmental math instructors who provide formative level instruction that can be defining in developing quantitative reasoning. Data were collected using a 10-item scale developed from a set of criteria that focused on knowledge acquisition, critical thinking, active learning, multiple representations, skills development, and assessment. The majority of the PBL strategies were highly rated as either "usually" or "always" (ranging from 72% to 90%), howeve
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Brown, Mark, and Jackie Carter. "Using internships to engage social science students in the practice and development of data skills." In Teaching Statistics in a Data Rich World. International Association for Statistical Education, 2017. http://dx.doi.org/10.52041/srap.17505.

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There is growing recognition that good (quantitative) data skills are an essential part of a graduates skill set in an increasingly competitive jobs market. This is the context for the UK’s ‘Q- Step’ programme, a strategic response to a widely reported shortage of these skills among social science graduates. This paper describes an initiative at the University of Manchester Q-Step Centre to pilot the use of internships as an integral part of quantitative training in the undergraduate curriculum, enabling students to apply and practice the skills they have learned in the classroom in a workplac
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Ponomarenko, Alexey. "Reformatting statistical education in Russia: changes in classifications, standards, and programs." In Teaching Statistics in a Data Rich World. International Association for Statistical Education, 2017. http://dx.doi.org/10.52041/srap.17314.

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In the centrally planned economy the main function of official statistics was monitoring of plans’ execution. Hence, official statisticians had to be experts in economics and bookkeeping, like tax inspectors. Russian statistical education was oriented mostly to official needs and statistics was included in the same educational group as economics. Currently, professional requirements for statisticians have changed. Official statistics lost its control function, and the old reporting system is being replaced by sample surveys that are less onerous for respondents and also less expensive. The sta
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Reports on the topic "Rich Data Set"

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Desai, Jairaj, Rahul Suryakant Sakhare Sakhare, Justin Mahlberg, Jijo K. Mathew, Howell Li, and Darcy M. Bullock. Implementation of Enhanced Probe Data (CANBUS) for Tactical Workzone and Winter Operations Management. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317643.

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For over a decade, segment-based probe data has been extensively used by transportation stakeholders for monitoring mobility on Indiana roadways. However, enhanced probe data from connected vehicles includes a richer dataset that can provide more detailed real-time and after-action reviews. This enhanced data includes detailed vehicle trajectories, at 3s resolution, and “event data.” This event data is near real-time and includes hard-braking events, hard-acceleration events, weather-related data, including wiper activations and some seat belt usage data. This project developed a set of method
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Bastos, Paulo, and Sebastián J. Miller. Politics Under the Weather: Droughts, Parties and Electoral Outcomes. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0011513.

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The increased occurrence of extreme weather conditions leading to drought is a key development challenge. This paper studies how these extreme events interact with the political process at the local level using rich administrative data for drought declarations and mayoral elections in Brazil. While accounting for current and historical rainfall patterns, the paper finds that that: i) municipalities led by a mayor affiliated with the President¿s party are more likely to receive formal drought declarations prior to the municipal election; and ii) receiving a drought declaration reinforces the el
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Ziesemer, Thomas. A data set for domestic and foreign private and public R&D stocks and labour-augmenting technical change for 44 rich or emerging economies with explorations on panel unit roots, cointegration, growth rate slowdown, and con- or divergence. UNU-MERIT, 2025. https://doi.org/10.53330/irzp8539.

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We extend existing data sets for domestic and foreign private and public R&amp;D stocks as well as labour-augmenting technical change data based on CES production functions. We cover slightly more periods and many more countries, now 44 up from 17. We consider panel unit root issues for a large sample of 41 countries and two smaller samples with 21 rich and 20 emerging economies. Autoregressive regressions show negative time trends in the growth rates of labour-augmenting technical change, domestic private and domestic and foreign public R&amp;D stocks indicating the growth slowdown in the dat
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Simmons, Ruth, and Rezina Mita. Women's status and family planning in Bangladesh: An analysis of focus group data. Population Council, 1995. http://dx.doi.org/10.31899/rh1995.1000.

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This study involved secondary analysis of a substantial set of 1987–88 focus group data from Bangladesh’s Matlab Thana, where the Family Planning and Health Services Project was underway since 1977. The project was highly successful in increasing family planning (FP) acceptance and provided a rich research base for studying the diffusion of FP and its effects. The study involved 36 focus groups with fieldworkers, community women, husbands, educated women, and community leaders. The intent of the present study is to examine the effect of FP on women's status in Bangladesh, and to prepare papers
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Bravo, David, Sergio Urzúa, and Claudia Sanhueza. Is There Labor Market Discrimination among Professionals in Chile?: Lawyers, Doctors and Businesspeople. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0011271.

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This paper analyzes gender differences in three Chilean professional labor markets, business, law and medicine, utilizing a new and rich data set collected for this purpose. The results show that differences in wages attributed to gender are only present in the legal profession. In business/economics, a vector of current family condition eliminates the gender effect and in Medicine, taking into account hours worked, size of firm and region also eliminates gender differences. The paper further shows that individuals' perceived locus of control (internal or external) is relevant in explaining th
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Hunter, Fraser, and Martin Carruthers. Scotland: The Roman Presence. Society of Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.06.2012.104.

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The main recommendations of the panel report can be summarised under five key headings:  Scotland in the Roman world: Research into Roman Scotland requires an appreciation of the wider frontier and Empire-wide perspectives, and Scottish projects must be integrated into these wider, international debates. The rich data set and chronological control that Scotland has to offer can be used to inform broader understandings of the impact of Rome.  Changing worlds: Roman Scotland’s rich data set should be employed to contribute to wider theoretical perspectives on topics such as identity and ethnic
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Bravo, David, Sergio Urzúa, and Claudia Sanhueza. Ability, Schooling Choices and Gender Labor Market Discrimination: Evidence for Chile. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0011270.

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This paper analyzes gender differences in the Chilean labor market, formally addressing the selection of individuals into schooling levels and its impact on gender gaps. The paper utilizes a new and rich data set containing information on labor market outcomes, schooling attainment and schooling performance, as well as variables characterizing individuals' family background. Although the results show statistically significant gender differences in several dimensions of the Chilean labor market, these gaps depend largely on individuals' level of schooling. Nonetheless, these findings should not
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Calderón, María Cecilia, and John Hoddinott. The Inter-Generational Transmission of Cognitive Abilities in Guatemala. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0011205.

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This paper examines early childhood development (ECD) outcomes and their association with family characteristics, investments, and environmental factors, with particular emphasis on the inter- generational transmission of cognitive abilities. The paper examines the causal relationship between parental cognitive abilities and ECD outcomes of their offspring using a rich data set from rural Guatemala that can account for such unobservable factors. A 10 percent increase in maternal Raven's scores increase children's Raven's scores by 7.8 percent. A 10 percent increase in maternal reading and voca
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Contreras, M. Ignacia, Suzanne Duryea, and Claudia Martínez. The Effect of the Pandemic on the Transition to Tertiary Education in Chile: A Focus on Students with Disabilities. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004862.

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Using a rich set of administrative data, we study the effect of the COVID-19 pandemic on the transition to tertiary education for students with disabilities in Chile. Enrollment rates in primary and secondary education in Chile differ by less than 2 percentage points for students with or without disabilities, but there is an approximately 17 percentage point gap in enrollment in tertiary education. Our difference in differences analysis finds that the pandemic significantly decreased the probability of students with disabilities taking the admission test to tertiary education and enrolling in
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Perdigão, Rui A. P., and Julia Hall. Empowering Next-Generation Synergies among Models and Data with Information Physical Quantum Technological Intelligence. Synergistic Manifolds, 2024. https://doi.org/10.46337/241209.

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We present and deploy our methodological and technological framework of Information Physical Quantum Technological Intelligence (IPQuTI), to empower next-generation mathematically robust, physically consistent, computationally efficient and operationally scalable synergies among models and data across multisectoral theoretical and applied workflows. Going beyond digital computing platforms, IPQuTI encompasses a richer basis alphabet of fundamental quantum states (information building blocks) and a high-order set of superposition and entanglement functionals (grammar) beyond the state of the ar
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