Relevant bibliographies by topics / Effective summarizing data

Contents

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

Academic literature on the topic 'Effective summarizing data'

Author: Grafiati
Published: 11 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Effective summarizing data"

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Devrapalli, Dr Dharmaiah, Srija Padmini Guduri, Pericharla Jaya Madhuri, Sathi Navya Vahini Reddy, and Pavani Pasupuleti. "Effective Text Processing utilizing NLP." Indian Journal of Artificial Intelligence and Neural Networking 2, no. 1 (2021): 1–7. http://dx.doi.org/10.54105/ijainn.b3873.122121.

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Summarizing is the practice of condensing a body of material into a more manageable size while retaining all of the key data elements and the intended meaning. Automatic text summarizing systems can now quickly retrieve summary phrases from input documents. However, it has a number of shortcomings, such as duplication, insufficient coverage, incorrect extraction of key lines, and poor sentence coherence. In this study, a new concept of summarizer technique is proposed using the Python spacy package. It extracts the most significant information from the text. The scoring system is also used to
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Dr., Dharmaiah Devrapalli, Padmini Guduri Srija, Jaya Madhuri Pericharla, Navya Vahini Reddy Sathi, and Pasupuleti Pavani. "Effective Text Processing utilizing NLP." Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) 2, no. 1 (2021): 1–7. https://doi.org/10.54105/ijainn.B3873.122121.

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<strong>Abstract:</strong> Summarizing is the practice of condensing a body of material into a more manageable size while retaining all of the key data elements and the intended meaning. Automatic text summarizing systems can now quickly retrieve summary phrases from input documents. However, it has a number of shortcomings, such as duplication, insufficient coverage, incorrect extraction of key lines, and poor sentence coherence. In this study, a new concept of summarizer technique is proposed using the Python spacy package. It extracts the most significant information from the text. The scor
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Gu, Jianyang, Kai Wang, Wei Jiang, and Yang You. "Summarizing Stream Data for Memory-Constrained Online Continual Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (2024): 12217–25. http://dx.doi.org/10.1609/aaai.v38i11.29111.

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Replay-based methods have proved their effectiveness on online continual learning by rehearsing past samples from an auxiliary memory. With many efforts made on improving training schemes based on the memory, however, the information carried by each sample in the memory remains under-investigated. Under circumstances with restricted storage space, the informativeness of the memory becomes critical for effective replay. Although some works design specific strategies to select representative samples, by only employing a small number of original images, the storage space is still not well utilize
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David, Chaim, and Haridimos Kondylakis. "KEGGSum: Summarizing Genomic Pathways." Information 15, no. 1 (2024): 56. http://dx.doi.org/10.3390/info15010056.

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Over time, the renowned Kyoto Encyclopedia of Genes and Genomes (KEGG) has grown to become one of the most comprehensive online databases for biological procedures. The majority of the data are stored in the form of pathways, which are graphs that depict the relationships between the diverse items participating in biological procedures, such as genes and chemical compounds. However, the size, complexity, and diversity of these graphs make them difficult to explore and understand, as well as making it difficult to extract a clear conclusion regarding their most important components. In this reg
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Wang, Ning, and Tian Tian. "Summarizing Personal Dataspace Based on User Interests." International Journal of Software Engineering and Knowledge Engineering 26, no. 05 (2016): 691–713. http://dx.doi.org/10.1142/s0218194016500224.

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A personal dataspace management system (PDSMS) is a platform to manage personal data with various data types. Facing huge volume of heterogeneous personal data and complex relationships between them, it is better for users to start with a simplified, easy-to-read schema and then explore in depth only the relevant schema elements during formulating queries. Existing approaches of database schema summarization neglect user interests, which is very important in a personal dataspace. We propose a framework for building a concise resource summary based on user interests automatically in PDSMS. Our
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Beldi, Amal, Salma Sassi, Richard Chbeir, and Abderrazek Jemai. "DG_summ: A schema-driven approach for personalized summarizing heterogeneous data graphs." Computer Science and Information Systems, no. 00 (2023): 62. http://dx.doi.org/10.2298/csis230331062b.

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Advances in computing resources have enabled the processing of vast amounts of data. However, identifying trends in such data remains challenging for humans, especially in fields like medicine and social networks. These challenges make it difficult to process, analyze, and visualize the data. In this context, graph summarization has emerged as an effective framework aiming to facilitate the identification of structure and meaning in data. The problem of graph summarization has been studied in the literature and many approaches for static contexts are proposed to summarize the graph. These appr
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Harwell, Michael R. "Summarizing Monte Carlo Results in Methodological Research." Journal of Educational Statistics 17, no. 4 (1992): 297–313. http://dx.doi.org/10.3102/10769986017004297.

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Monte Carlo studies provide information that can assist researchers in selecting a statistical test when underlying assumptions of the test are violated. Effective use of this literature is hampered by the lack of an overarching theory to guide the interpretation of Monte Carlo studies. The problem is exacerbated by the impressionistic nature of the studies, which can lead different readers to different conclusions. These shortcomings can be addressed using meta-analytic methods to integrate the results of Monte Carlo studies. Quantitative summaries of the effects of assumption violations on t
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Qomariyah, Siti Syafi’atul. "THE EFFECT OF SUMMARIZING TECHNIQUE ON READING ACHIEVEMENT." Jo-ELT (Journal of English Language Teaching) Fakultas Pendidikan Bahasa & Seni Prodi Pendidikan Bahasa Inggris IKIP 2, no. 1 (2020): 19. http://dx.doi.org/10.33394/jo-elt.v2i1.2408.

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This article is a report of experimental conducted at the second year students of SMA Kanjeng Sepuh Sidayu Gresik. This study was conducted to measure the effect of summarizing technique on reading achievement. The instrument used for collecting data was test. The data analysis showed that mean of pretest was 37,94 in experimental group and 33,68 in control group. The result of t-test of pre-test was 2,444 and t-critical was 1,684 in level of significant .05. And the mean of post-test was 74,52 in experimental group and 68,39 in control group. The difference between the two mean score is 6.13.
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Kyoya, Shunki, and Kenji Yamanishi. "Summarizing Finite Mixture Model with Overlapping Quantification." Entropy 23, no. 11 (2021): 1503. http://dx.doi.org/10.3390/e23111503.

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Finite mixture models are widely used for modeling and clustering data. When they are used for clustering, they are often interpreted by regarding each component as one cluster. However, this assumption may be invalid when the components overlap. It leads to the issue of analyzing such overlaps to correctly understand the models. The primary purpose of this paper is to establish a theoretical framework for interpreting the overlapping mixture models by estimating how they overlap, using measures of information such as entropy and mutual information. This is achieved by merging components to re
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Huan, Jia-Ming, Wen-Ge Su, Wei Li, et al. "Summarizing the Effective Herbs for the Treatment of Hypertensive Nephropathy by Complex Network and Machine Learning." Evidence-Based Complementary and Alternative Medicine 2021 (June 11, 2021): 1–12. http://dx.doi.org/10.1155/2021/5590743.

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Hypertensive nephropathy is a common complication of hypertension. Traditional Chinese medicine has been used in the clinical treatment of hypertensive nephropathy for a long time, but the commonly used prescriptions have not been summarized, and the basic therapeutic approaches have not been discussed. Based on data from 3 years of electronic medical records of traditional Chinese medicine used at the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, a complex network and machine learning algorithm was used to explore the prescribed herbs of traditional Chinese medic
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Dissertations / Theses on the topic "Effective summarizing data"

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Mazzeo, Giuseppe Massimiliano, Domenico Saccà, and Domenico Talia. "Effective Histogram-based Techniques for Summarizing Multi-dimensional Data." Thesis, 2012. http://hdl.handle.net/10955/64.

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Tesi di dottorato di ricerca in Ingegneria dei sistemi ed informatica, XIX Ciclo<br>This thesis is an effort towards the definition of effective summarization techniques for multi-dimensional data. The state-of-the-art techniques are examviii Preface ined and the issues related to their inability in effectively summarizing multidimensional data are pointed out. The attention is particularly focused on histogram-based summarization techniques, which are the most flexible, the most studied and the most adopted in commercial systems. In particular, hierarchical binary partitions are studie
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Liu, Chunyang. "Summarizing data with representative patterns." Thesis, 2016. http://hdl.handle.net/10453/52923.

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University of Technology Sydney. Faculty of Engineering and Information Technology.<br>The advance of technology makes data acquisition and storage become unprecedentedly convenient. It contributes to the rapid growth of not only the volume but also the veracity and variety of data in recent years, which poses new challenges to the data mining area. For example, uncertain data mining emerges due to its capability to model the inherent veracity of data; spatial data mining attracts much research attention as the widespread of location-based services and wearable devices. As a fundamental topic
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Books on the topic "Effective summarizing data"

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Gugerty, Mary Kay, and Dean Karlan. Concluding Thoughts and (Hopefully) Helpful Resources. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199366088.003.0016.

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This chapter concludes The Goldilocks Challenge, summarizing key lessons about when and when not to collect data and how to build evidence systems for learning and improvement. The chapter also identifies areas for future work related to right-fit data, including social enterprise, organizational behavior, government contracting, and responsibility in the era of “big data.” Lastly, the chapter introduces Innovation for Poverty Action’s (IPA) “Goldilocks Initiative” and the Goldilocks Toolkit, efforts to help organizations apply the Goldilocks principles. The Goldilocks Initiative will compleme
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Book chapters on the topic "Effective summarizing data"

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Upton, Graham, and Dan Brawn. "Summarizing data." In Data Analysis. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780192885777.003.0002.

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Abstract The data analyst needs to be able to collect information in a compact form. An analyst cannot look at a set of a thousand values on a value-by-value basis. This chapter presents solutions to that situation; it provides a variety of methods for summarising and displaying data. In addition to the simple average value, which statisticians call the mean, alternatives are presented that reduce the influence of any atypical values. In the same way, while the simplest measure of summarising the spread of data values is the range, more useful measures, that take account of all the data values
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Styrin, Evgeny, and Natalya Dmitrieva. "Evaluating Public Organizations Using Open Data." In Open Government. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9860-2.ch002.

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Information openness and stakeholder involvement through ICT become the driving factors of public organization change. In this article, an ecosystem approach is embraced to study the social sphere organizations (SSOs), such as hospitals, schools, and libraries. SSOs report on their activities by publishing information on the Web which can be used to evaluate the effectiveness and efficiency of these organizations by the public. The opening of data transforms the relationship between SSOs and other stakeholders. In this article, the institutionalization of SSO evaluation system in Russia is stu
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Singhal, Arvind, and Martin R. Cowie. "Digital health in heart failure." In The ESC Textbook of Heart Failure, edited by Petar M. Seferović, Andrew J. S. Coats, Gerasimos Filippatos, Stefan D. Anker, Johann Bauersachs, and Giuseppe Rosano. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/med/9780198891628.003.0084.

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Abstract This chapter discusses digital technologies used in the diagnosis, monitoring, and management of heart failure (HF). Remote monitoring for decompensation of HF can be in the form of telephone support, or by telemonitoring systems which collect and send physiological data to the HF team. The evidence for remote monitoring is mixed, but remote pulmonary artery pressure monitoring is consistently effective at reducing HF hospitalization in patients at higher risk. Wearable devices are increasingly accurate at measuring physiological variables and show promise for HF monitoring and progno
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Singh, Anamika, Rajeev Singh, and Neha Gupta. "Role of Supercomputers in Bioinformatics." In Oncology. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0549-5.ch021.

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Due to the involvement of effective and client-friendly components (i.e. supercomputers), rapid data analysis is being accomplished. In Bioinformatics, it is expanding many areas of research such as genomics, proteomics, metabolomics, etc. Structure-based drug design is one of the major areas of research to cure human malady. This chapter initiates a discussion on supercomputing in sequence analysis with a detailed table summarizing the software and Web-based programs used for sequence analysis. A brief talk on the supercomputing in virtual screening is given where the databases like DOCK, ZIN
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Harding, Rosalind M. "New phylogenies: an introductory look at the coalescent." In New Uses for New Phylogenies. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198549857.003.0002.

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Abstract It must be a reasonable assumption that anyone interested in this book will be well acquainted with phylogenies, though not necessarily with population genetics. A special kind of phylogeny that has recently come to prominence is a gene tree, which is a phylogeny constructed from DNA sequences, and of particular interest are gene trees not for sets of different taxa, but for samples of individuals from an interbreeding population. The coalescent is a population genetic model for the neutral evolution of gene trees (Griffiths 1980; Kingman 1982a,b; Tavaré 1984; Donnelly and Tavaré 1995
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Guimarães, Nicolly Thomas, Gustavo Ferreira Moreira, Rian Barreto Arrais Rodrigues de Morais, et al. "ADVANCES IN SURGICAL MANAGEMENT OF GASTRIC CANCER: MINIMALLY INVASIVE TECHNIQUES VERSUS CONVENTIONAL APPROACHES." In Science and Connections: The Interdependence of Disciplines. Seven Editora, 2025. https://doi.org/10.56238/sevened2024.037-170.

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Gastric cancer is one of the leading causes of mortality from neoplasia worldwide, especially in developing countries. This study aims to compare clinical, oncological and quality of life outcomes between minimally invasive surgical techniques, such as laparoscopic and robotic gastrectomy, and the conventional open approach in the management of gastric cancer. A narrative review of the literature was performed using databases such as PubMed, Embase, Cochrane Library and SciELO. Studies published in the last ten years that comparatively addressed different surgical techniques in patients with e
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Shubneet, Mr, Anushka Raj Yadav, Partha Chanda, and Mohammad Yasir Bin Taleb Abrar. "EXPLORATORY DATA ANALYSIS AND VISUALIZATION." In Artificial Intelligence Technology in Healthcare: Security and Privacy Issues. Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025. https://doi.org/10.58532/nbennuraith5.

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Exploratory Data Analysis (EDA) is a foundational step in the data science process, enabling practitioners to uncover meaningful patterns, detect anomalies, and inform subsequent modeling decisions [1, 2]. By systematically visualizing and summarizing data, EDA reveals relationships, trends, and data quality issues that might otherwise remain hidden. Tools such as Matplotlib and Seaborn in Python, along with Tableau for interactive dashboards, empower analysts to create compelling visualizations that clarify complex datasets and communicate insights effectively. EDA plays a pivotal role in ano
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Lyu, Bo, and Weiyue Yao. "An Exploration of the Impact of Digital Economy on Bulk Commodity Trade Models and Risk Management." In Modern Management based on Big Data V. IOS Press, 2024. http://dx.doi.org/10.3233/faia240269.

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Bulk commodity circulation trade has stepped into an advanced stage, the traditional trade model can not adapt to the needs of high-quality development of enterprises. If enterprises want to achieve sustainable development, they must try every means to continuously innovate the trade model. Today, with the rapid development of information technology, digital economy has become a key element driving the evolution of global bulk commodity trade models, which are also undergoing profound changes. This paper synthesizes the relevant research on bulk commodity trade models and risk management throu
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Antonopoulos, Antonis, and Antonis Mygiakis. "Shipping Digital Twin Data Management With the Use of Knowledge Graphs." In Advances in Logistics, Operations, and Management Science. IGI Global, 2024. http://dx.doi.org/10.4018/978-1-6684-9848-4.ch003.

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This chapter explores the data management challenges inherent in a digital twin framework and elucidates the pivotal role of knowledge graphs in meeting these demands. The author introduces a functional metamodel designed to semantically convert scenarios related to the green transition into a standardized format. This metamodel emerges as a vital instrument for both business and technical stakeholders, streamlining the intricate interplay among operational requisites, environmental factors, optimization strategies, and decarbonization technologies. It adeptly encapsulates the ship's environme
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Maluleke, Mzamani. "Strategies to Improve the Reading Proficiency of Grade 10 Learners." In Teaching Reading Comprehension to English Learners in Secondary Schools. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-0144-0.ch008.

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Teaching reading comprehension is essential in language education, helping learners acquire various skills. Reading is an active process where readers extract meaning using different strategies. Grade 10 learners are expected to read fluently and comprehend diverse texts, utilizing prior knowledge to enhance understanding. Reading comprehension is a complex process that requires active engagement with the text. This chapter employs qualitative research methods, sampling teachers and learners from a Limpopo circuit in the Vhembe district. Data were analyzed according to the study's aims, guided
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Conference papers on the topic "Effective summarizing data"

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Alzahmi, Abdulazeiz M., Abdalla O. Mohammed, Abdulla A. Al Khateri, and Noufal Nadakkavil. "Empowering Frontliners to Work Effectively for HSECES Equipment Through Introducing Cost-Effective E-Inspection Digital Solution." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222163-ms.

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Abstract The essence of maintaining Health Safety Environment Critical Equipment &amp; Systems (HSECES) is paramount for the safe operation of production facilities. The HSECES management standard necessitates that minimum assurance tasks (MAT) for each HSECES category or tag level are performed and documented to confirm that the HSECES are functioning correctly and as intended. Historically, the process for executing MATs or HSECES maintenance jobs during planned maintenance was unsystematic, with data being uploaded to SAP as handwritten scanned documents or Excel files, resulting in poor da
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Rakova, Elvira, and Jürgen Weber. "Exonomy Analysis for the Selection of the Most Cost-Effective Pneumatic Drive Solution." In 9th FPNI Ph.D. Symposium on Fluid Power. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpni2016-1518.

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Today pneumatic drives are widely used to perform various motion tasks. They distinguish themselves through low purchase price and robust design, but show high energy consumption in comparison with electric drives. Existing energy saving measures lead to the reduction of energy consumption, but at the same time they cause the increase of the life cycle costs. All in all, the selection of pneumatic drives has to be done regarding their functionality, efficiency and costs. In this paper the novel Exonomy approach is presented for the selection of the most cost-effective pneumatic drive solution.
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Paviglianiti, Joe, and Sarah Shaw. "Analysis of the National Energy Board Pipeline Integrity Performance Measures Data." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78413.

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The National Energy Board’s (NEB or the Board) top priorities are the safety of people and protection of the environment. NEB-regulated pipelines have a very good safety record; however, the NEB noticed an increased trend in some types of incidents. Therefore, after considerable stakeholder consultation, in March 2012 the NEB started requiring NEB-regulated companies to report annually on new pipeline performance measures. These performance measures were developed and introduced to promote continual improvement in the management of pipelines by allowing companies to compare their results with
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Doris, Elizabeth, Sarah Booth, Joseph Chavez, Vitaliy Krasko, and Sherry Stout. "Understanding the Impacts of Local Policies on Distributed Photovoltaic Market Development." In ASME 2014 8th International Conference on Energy Sustainability collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/es2014-6383.

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A growing body of literature discusses the impacts of state-level policies on the development of distributed photovoltaic (PV) markets both in the implementing jurisdictions and spilling into others. Localities (municipalities and counties) are also increasing their involvement in policy development to support clean energy markets. There is a barrier to knowing the impacts of the policies within a jurisdiction as well as how the patchwork of local policies interacts to contribute to national PV market developments. This barrier can result in an inability for localities to implement effective a
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Twombly, Jeffrey G., Eric D. Cutright, and Kenneth K. Jackson. "Cost-Effective Risk Assessment of PTC Systems per FRA Rule 49CFR236 Subpart H." In 2009 Joint Rail Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/jrc2009-63020.

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The US rail industry is charged with developing and implementing interoperable Positive Train Control (PTC) on many lines by 2015. It will be a challenge to assure the overall design safety of this next generation of train control, and there are significant issues with accommodating varying operating methods and different territories. The Federal Railroad Administration (FRA) will also require the railroads to meet the processor-based train control standards in FRA Rule 49CFR236 Sub-Part H (hereinafter FRA Rule 236H) [1], including the requirement for a comparative risk assessment, preferably
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Sergejeva, Natalija, Julija Mangale, and Kristaps Vergins. "Evaluation of meeting effectiveness for improvement of digital tools." In Research for Rural Development 2022 : annual 28th international scientific conference proceedings. Latvia University of Life Sciences and Technologies, 2022. https://doi.org/10.22616/rrd.28.2022.044.

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Meetings are an integral part of every company. During the meeting new ideas are generated, experiences are shared, decisions are made; therefore, it is necessary to make meetings more effective and productive. In today’s digital age, which development was accelerated by the COVID-19 pandemic, different digital tools are being created which help to organise various meeting management stages in a more qualitative way. With the help of digital tools, it is possible to significantly facilitate the observance of meeting plans, preparation of the meeting minutes and sending meeting minutes to the p
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Lange, Alexander, Dean Johnson, and Nicole Key. "Section Based Profile Tolerance Assessment of 3D Scanned Compressor Airfoils." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-14294.

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Abstract This paper presents two turbomachinery-specific methods for profile tolerance assessment of compressor airfoils that process 3D scan data. This optical inspection technology digitizes the entire surface of the part into a triangulated mesh, which is aligned to nominal geometry and then processed to extract densely arranged profile sections. For the reverse engineering method, the profile sections are decomposed into thickness and camber distributions. These distributions and the camber line are used to identify the profile parameter vector of the reverse engineering model. The deviati
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Fu, Libing, Jun Ni, Yuming Liu, Xuanran Li, and Anzhu Xu. "Artificial Intelligence Method of Flow Unit Division Based on Waveform Clustering: A Case Study on Zhetybay Oil Field, South Mangyshalk Basin, Kazakhstan." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205740-ms.

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Abstract The Zhetybay Field is located in the South Mangyshlak Sub-basin, a delta front sedimentary reservoir onshore western Kazakhstan. It was discovered in 1961 and first produced by waterflooding in 1967. After more than 50 years of waterflooding development, the reservoirs are generally in the mid-to-high waterflooded stage and oil-water distribution becomes complicated and chaotic. It is very difficult to handle and identify so much logging data by hand since the oilfield has the characteristics of high-density well pattern and contains rich logging information with more than 2000 wells.
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Fitzgerald, Tesca, Ashok Goel, and Andrea Thomaz. "Abstraction in Data-Sparse Task Transfer (Extended Abstract)." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/800.

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When a robot adapts a learned task for a novel environment, any changes to objects in the novel environment have an unknown effect on its task execution. For example, replacing an object in a pick-and-place task affects where the robot should target its actions, but does not necessarily affect the underlying action model. In contrast, replacing a tool that the robot will use to complete a task will effectively alter its end-effector pose with respect to the robot's base coordinate system, and thus the robot's motion must be replanned accordingly. These examples highlight the relationship among
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Marimon, Frederic, Ruggero Colombari, and Marta Mas-Machuca. "ChatGPT’s role in Higher Education: Functional capabilities, and their impact on student satisfaction." In Eleventh International Conference on Higher Education Advances. Editorial Universitat Politècnica de València (edUPV), 2025. https://doi.org/10.4995/head25.2025.19833.

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This study investigates how ChatGPT is perceived and utilized by university students who use it for academic writing, summarizing and brainstorming. It examines what drives satisfaction beyond usage frequency and ease of use, focusing on three core functional capabilities: quality of information, learning facilitation, and human language interaction. Structural modeling techniques applied to survey data reveal that student satisfaction is shaped by how these capabilities are experienced, along with perceptions of clarity and usability. The results highlight that educational impact depends not
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Reports on the topic "Effective summarizing data"

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Ziesler, Pamela, and James Horn. Statistical abstract: 2024. National Park Service, 2025. https://doi.org/10.36967/2310175.

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In the pages that follow, a series of tables and figures display visitor use statistics for calendar year 2024. By documenting visits, hours, and overnight stays across the National Park System, the National Park Service (NPS) Statistical Abstract offers a historical record of visitor use in parks and provides NPS staff and partners with a useful tool for effective management and planning. In 2024, 404 of 433 National Park System units collected and reported visitor use statistics; the remainder are unable to do so for a variety of reasons such as administration by another agency, non-federal
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Ziesler, Pamela, and Claire Spalding. Statistical abstract: 2023. National Park Service, 2024. http://dx.doi.org/10.36967/2304344.

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In the pages that follow, a series of tables and figures display visitor use statistics for calendar year 2023. By documenting visits, hours, and overnight stays across the National Park System, the National Park Service (NPS) Statistical Abstract offers a historical record of visitor use in parks and provides NPS staff and partners with a useful tool for effective management and planning. In 2023, 400 of the 428 National Park System units collected and reported visitor use statistics; the remainder are unable to do so for a variety of reasons such as administration by another agency, non-fede
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Posacka, Anna, and Peter Ross. Tackling microfibre pollution through science, policy, and innovation: A framework for Canadian leadership. Raincoast Conservation Foundation, 2024. http://dx.doi.org/10.70766/47.9973.

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Microfibre pollution has emerged as a global conservation and public health concern, prompting a wave of research related to its source, transport, fate and effects, as well as mitigation strategies. This report provides support for the Government of Canada in decision-making on microfibres, by summarizing important elements of the topic from the scientific literature, stakeholder consultations and cross-sector activities. The goal herein is to characterize the primary sources, discharge mechanisms and environmental fate of microfibre pollution in Canada, review available methodologies and def
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R for Beginners (part 2) - Visualizing, Summarizing, and Exploring Data. Instats Inc., 2025. https://doi.org/10.61700/sae4b17fet5ps1989.

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This one-day workshop, "R for Beginners (Part 2) - Visualizing, Summarizing, and Exploring Data," equips researchers with essential skills for using R to create effective data visualizations, summarize datasets, and conduct exploratory data analysis.
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5

Applied Statistics with SPSS. Instats Inc., 2023. http://dx.doi.org/10.61700/lavb4hfjfnpvw469.

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This seminar is designed to help participants enhance their statistical skills and learn how to effectively use SPSS, a user-friendly data analysis tool widely used in social and health sciences. Participants will gain knowledge in statistics as a tool for summarizing, inferring, and modeling data, and will explore the SPSS environment, including its architecture, basic commands, syntax, and help features. They will also learn about data processing and generating clean graphical and tabular outputs, as well as basic statistical analyses such as descriptive statistics, parametric and non-parame
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6

Applied Statistics with SPSS. Instats Inc., 2023. http://dx.doi.org/10.61700/ntqfofhi9igv4469.

Full text
Abstract:
This seminar is designed to help participants enhance their statistical skills and learn how to effectively use SPSS, a user-friendly data analysis tool widely used in social and health sciences. Participants will gain knowledge in statistics as a tool for summarizing, inferring, and modeling data, and will explore the SPSS environment, including its architecture, basic commands, syntax, and help features. They will also learn about data processing and generating clean graphical and tabular outputs, as well as basic statistical analyses such as descriptive statistics, parametric and non-parame
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