Готові списки джерел за темами / Customizing

Добірка наукової літератури з теми "Customizing"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 3 березня 2023

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Статті в журналах з теми "Customizing":

Kurzel, Frank. "Customizing Instruction." Issues in Informing Science and Information Technology 2 (2005): 325–33. http://dx.doi.org/10.28945/831.

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Phaal, Robert, Clare Farrukh, and David Probert. "Customizing Roadmapping." Research-Technology Management 47, no. 2 (March 2004): 26–37. http://dx.doi.org/10.1080/08956308.2004.11671616.

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Denz, Cornelia, Alessandro Zannotti, Miguel A. Alonso, and Mark R. Dennis. "Customizing Caustics." Optics and Photonics News 31, no. 12 (December 1, 2020): 48. http://dx.doi.org/10.1364/opn.31.12.000048.

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Riddihough, G. "Customizing MicroRNAs." Science's STKE 2007, no. 375 (February 27, 2007): tw65. http://dx.doi.org/10.1126/stke.3752007tw65.

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Phaal, R., C. Farrukh, and D. Probert. "Customizing roadmapping." IEEE Engineering Management Review 32, no. 3 (2004): 80. http://dx.doi.org/10.1109/emr.2004.25111.

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Manning, Stephan. "Customizing Clusters." Economic Development Quarterly 22, no. 4 (November 2008): 316–23. http://dx.doi.org/10.1177/0891242408325585.

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Humphrey, Holly J. "Customizing Residency Education." Annals of Internal Medicine 140, no. 8 (April 20, 2004): 663. http://dx.doi.org/10.7326/0003-4819-140-8-200404200-00019.

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Mitch Jacoby. "Customizing alloy catalysts." C&EN Global Enterprise 100, no. 8 (February 28, 2022): 5. http://dx.doi.org/10.1021/cen-10008-scicon2.

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Nevarre, Daniel R., and Hillel D. Skoff. "CUSTOMIZING BONE ANCHORS." Plastic and Reconstructive Surgery 106, no. 1 (July 2000): 231–32. http://dx.doi.org/10.1097/00006534-200007000-00060.

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Buchen, Irving H. "Customizing Online Learning." World Futures Review 4, no. 2 (May 2012): 179–81. http://dx.doi.org/10.1177/194675671200400222.

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Дисертації з теми "Customizing":

Staron, Miroslaw. "Customizing UML with Stereotypes." Licentiate thesis, Karlskrona : Blekinge Institute of Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00238.

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The Unified Modeling Language (UML) is a visual modeling language for documenting and specifying software. It is gaining popularity as a language for a variety of purposes. It was designed as a result of a unifying activity in the last decade. Since this general purpose language cannot suit all possible needs, it has built-in mechanisms for providing extensibility for specific purposes. One such mechanism is the notion of stereotype, which is a means of branding the existing model element with a new semantics. Such extended elements can then act as new model elements as if they were standard model elements. This notion is only one of the possible ways of customizations of the language. The other, more powerful technique is metamodeling, which enables to change UML by directly changing its specification. The thesis investigates the notion of stereotype in UML both from theoretical and practical perspectives. It examines the notion of stereotype as it originally appeared in object-oriented software development as a means of branding objects according to their secondary classification in the system. The initial intent behind stereotypes is compared with the view of stereotypes in UML and similar languages, which later on provides a basis for an understanding of a stereotype in the thesis. The thesis elaborates on a classification of stereotypes from the perspective of their usage. The classification categorizes different usages of stereotypes in different situations. Based on the classification, one such usage is evaluated in an empirical way. The evaluation is done in the form of an experiment on how the stereotypes influence the understanding of UML models. An example of a customization of UML for a conceptual database model is presented. It is a basis for a study on the expressiveness of stereotypes in the context of persistency modeling in objectoriented software. Two ways of the introduction of the stereotypes into the software development process (dependent and independent of UML tools) are outlined.The thesis contains also a presentation of how the knowledge expressed as ontology can be imported into domain models expressed in UML. This research can be seen as a further study on the customization of UML towards usage of ontology-based knowledge.

Staroń, Mirosław. "Customizing UML with stereotypes /." Ronneby : Department of Software Engineering and Computer Science, Blekinge Institute of Technology, 2003. http://www.bth.se/fou/forskinfo.nsf/01f1d3898cbbd490c12568160037fb62/2414b1966f07f876c1256e2a002cba53!OpenDocument.

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Mizuguchi, Mark. "Customizing human animation transitions for gaming environments." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0009/MQ61472.pdf.

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Lamack, Frank. "Customized Fabrication – Mass Customizing mit 3D-Druck." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-215180.

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Kernthesen Customized Fabrication bietet durch die Verschmelzung von (Mass) Customizingansätzen und digitaler und automatisierbaren Produktionsverfahren wie ADM neue Potentiale für ein kundenspezifischen Produktion der Losgröße 1, einer daraus folgenden intensivierten Kundenintegration, innovativen Produktentwürfen zu bisher unmöglichen Geschäftsmodellen. Digitale Mensch-Maschine-Schnittstellen und digitale Plattformen werden zu wesentlichen Bausteinen von Customized Fabrication (wie Industrie4.0- Strategien generell) und ermöglichen auch neue Kundenerlebnisse. CAD-Files als digitale Blueprints für einfache wie komplexe Konstruktionen und Produktentwicklungen etablieren sich als das nächste Sharing-Medium nach Text, Bild, Audio und Video zwischen Herstellern und Endkonsumenten – und stellen Hersteller wie auch Kunden vor neue Herausforderungen. ADM (Additive Design and Manufacturing bzw. 3D-Druck) gewinnt als hochflexible Fertigungstechnologie zunehmend an Bedeutung für die Massenproduktion und etabliert neue Paradigmen hinsichtlich Produktentwicklung und Design mit zum Teil disruptiver Innovationskraft.

Adebonojo, Leslie G. "LibGuides: Customizing Subject Guides for Individual Courses." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etsu-works/6313.

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Reference librarians at East Tennessee State University's Sherrod Library identified LibGuides as an efficient way to introduce undergraduate students, particularly those in their first two years of college, to the university library. Selecting pertinent library resources based on a course syllabus and creating a LibGuide for the course provides the students with a limited number of relevant materials. Librarians and professors view the use of subject guides attached to a course management system site as an effective educational solution. Librarians facing exponentially expanding resources and first-year students who are used to turning to Google for all their information needs can utilize LibGuides to guide students toward more relevant library resources.

Tveit, Amund. "Customizing Cyberspace : Methods for User Representation and Prediction." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1605.

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Cyberspace plays an increasingly important role in people’s life due to its plentiful offering of services and information, e.g. the Word Wide Web, the Mobile Web and Online Games. However, the usability of cyberspace services is frequently reduced by its lack of customization according to individual needs and preferences.

In this thesis we address the cyberspace customization issue by focusing on methods for user representation and prediction. Examples of cyberspace customization include delegation of user data and tasks to software agents, automatic pre-fetching, or pre-processing of service content based on predictions. The cyberspace service types primarily investigated are Mobile Commerce (e.g. news, finance and games) and Massively Multiplayer Online Games (MMOGs).

First a conceptual software agent architecture for supporting users of mobile commerce services will be presented, including a peer-to-peer based collaborative filtering extension to support product and service recommendations.

In order to examine the scalability of the proposed conceptual software agent architecture a simulator for MMOGs is developed. Due to their size and complexity, MMOGs can provide an estimated “upper bound” for the performance requirements of other cyberspace services using similar agent architectures.

Prediction of cyberspace user behaviour is considered to be a classification problem, and because of the large and continuously changing nature of cyberspace services there is a need for scalable classifiers. This is handled by proposed classifiers that are incrementally trainable, support a large number of classes, and supports efficient decremental untraining of outdated classification knowledge, and are efficiently parallelized in order to scale well.

Finally the incremental classifier is empirically compared with existing classifiers on: 1) general classification data sets, 2) user clickstreams from an actual web usage log, and 3) a synthetic game usage log from the developed MMOG simulator. The proposed incremental classifier is shown to an order of magnitude faster than the other classifiers, significantly more accurate than the naive bayes classifier on the selected data sets, and with insignificantly different accuracy from the other classifiers.

The papers leading to this thesis have combined been cited more than 50 times in book, journal, magazine, conference, workshop, thesis, whitepaper and technical report publications at research events and universities in 20 countries. 2 of the papers have been applied in educational settings for university courses in Canada, Finland, France, Germany, Norway, Sweden and USA.

Bunt, Andrea. "Mixed-initiative support for customizing graphical user interfaces." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31263.

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Graphical user interfaces (GUIs) are becoming increasingly complex, motivating research into ways of providing users with interfaces that are customized or personalized to their individual needs. Two opposing approaches to interface customization that have received the most attention to date are adaptable and adaptive approaches. An adaptable approach places the user in charge of customizing the interface, whereas with an adaptive approach, the system performs the customization automatically. Since both the adaptive and adaptable approaches have unique advantages and disadvantages, this thesis investigates a mixed-initiative solution to interface customization that aims to maximize each of their advantages, while minimizing their disadvantages. As our first step, we conducted an exploratory experiment with simulated users. Using GOMS analysis, we evaluated the benefits of an appropriately customized interface. We also identified ways in which adaptive support could help users customize more efficiently, and identified user and task factors that impact effective customization. Based on the results of our simulation experiment, we designed and implemented the MICA (Mixed-Initiative Customization Assistance) system. MICA provides users with a facility to customize their interfaces according to their needs, but also provides them with system-controlled adaptive support to help them customize effectively. MICA's adaptive support relies on a novel application of GOMS analysis to reason about the potential performance implications of different customization decisions. Using this formal reasoning, MICA generates customization recommendations aimed at maximizing the user's performance with the interface. MICA also communicates predicted time savings to the user in its rationale component, which describes why and how MICA makes recommendations. We evaluated our mixed-initiative approach through two user studies. Study One examined the general benefits of MICA's approach in comparison to a purely adaptable alternative. The results indicate that users prefer MICA's support to customizing independently, that MICA's support positively impacts performance with the interface (in terms of time on task), and that MICA reduces customization time. Study Two explored the utility of MICA's rationale. With a focus on qualitative data, the study revealed that the majority of users wish to have access to the rationale for reasons such as increased understanding and predictability of MICA's recommendations and increased trust in the system. The study also indicated that not all users want access to the rationale, suggesting that fine-grained transparency and predictability may not be important to all users in all contexts. Since previous work has advocated the importance of interaction transparency and predictability, the results of Study Two suggest that it would be beneficial to gain a more general understanding of when and why rationale is useful.
Science, Faculty of
Computer Science, Department of
Graduate

Li, Li. "Evolutionary optimization methods for mass customizing platform products." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B3955790X.

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Li, Li, and 李麗. "Evolutionary optimization methods for mass customizing platform products." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B3955790X.

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Chia-Yin, Chuang. "Political Consumerism in Contemporary Taiwan- Customizing a Nation." Thesis, Lancaster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518160.

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Книги з теми "Customizing":

Tickoo, Sham. Customizing AutoCAD. Albany: Autodesk Press, 1998.

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Tickoo, Sham. Customizing AutoCAD. Albany, N.Y: Delmar Publishers, 1992.

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Yapa, Sanjaya. Customizing Dynamics 365. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4379-4.

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Tickoo, Sham. Customizing AutoCAD 2011. Australia: Cengage Learning, 2011.

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Tickoo, Sham. Customizing AutoCAD 2009. Clifton Park, NY: Delmar Cengage Learning, 2008.

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Girdler, Allan. Customizing your van. 3rd ed. Blue Ridge Summit, PA: TAB Books, 1986.

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Tickoo, Sham. Customizing AutoCAD 2009. Clifton Park, NY: Delmar Cengage Learning, 2008.

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Tickoo, Sham. Customizing AutoCAD 2009. Clifton Park, NY: Delmar Cengage Learning, 2008.

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Caiati, Carl. Customizing your Harley. Blue Ridge Summit, PA: Tab Books, 1993.

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Rizzo, John. Customizing Windows XP. Berkeley, Calif: Peachpit, 2005.

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Частини книг з теми "Customizing":

Wenzel, Paul. "Customizing." In Betriebswirtschaftliche Anwendungen des integrierten Systems SAP-R/3, 31–89. Wiesbaden: Vieweg+Teubner Verlag, 1995. http://dx.doi.org/10.1007/978-3-663-14211-9_2.

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Wenzel, Paul. "Customizing." In Betriebswirtschaftliche Anwendungen mit SAP R/3®, 91–175. Wiesbaden: Vieweg+Teubner Verlag, 2001. http://dx.doi.org/10.1007/978-3-322-89793-0_2.

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Röger, Stefan, Frank Morelli, and Antonio del Mondo. "Customizing." In Controlling von Projekten mit SAP R/3®, 307–74. Wiesbaden: Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-90253-5_7.

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Röger, Stefan, Niko Dragoudakis, and Frank Morelli. "Customizing." In Projekt- und Investitionscontrolling mit SAP R/3®, 213–84. Wiesbaden: Vieweg+Teubner Verlag, 2003. http://dx.doi.org/10.1007/978-3-663-11175-7_7.

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Kirstein, B., CH Stoller, M. Pagels, and M. Sandberg. "Customizing." In Betriebswirtschaftliche Anwendungen des integrierten Systems SAP R/3, 33–111. Wiesbaden: Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-322-85429-2_2.

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Gossmann, Andreas, Alexander Korner, Steven Nies, and Markus Thielbeer. "Customizing." In Betriebswirtschaftliche Anwendungen mit SAP R/3®, 79–126. Wiesbaden: Vieweg+Teubner Verlag, 1999. http://dx.doi.org/10.1007/978-3-322-89895-1_2.

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Okungbowa, Andrew. "Customizing Transactions." In Asset Accounting Configuration in SAP ERP, 137–86. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1365-0_7.

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Angeli, Axeö, Ulrich Streit, and Robi Gonfalonieri. "IDocs Customizing." In The SAP R/3® Guide to EDI and Interfaces, 37–49. Wiesbaden: Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-663-01091-3_8.

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Grätzer, George. "Customizing LATEX." In Math into LATEX, 267–308. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4757-2446-2_9.

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Grätzer, George. "Customizing LATEX." In Math into LATEX, 311–63. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-1-4612-2134-0_9.

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Тези доповідей конференцій з теми "Customizing":

Simmons, Christopher, Karl Schulz, and Derek Simmel. "Customizing OpenHPC." In PEARC '20: Practice and Experience in Advanced Research Computing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3425306.3444765.

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Kurzel, Frank. "Customizing Instruction." In InSITE 2005: Informing Science + IT Education Conference. Informing Science Institute, 2005. http://dx.doi.org/10.28945/2870.

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Анотація:

In this paper, we examine techniques employed to customize features within an information technology related leaning environment. Fine grained concepts form the basis of the system; these are initially configured hierarchically into sessions by the instructor to constitute a week’s worth of work. Tools however, exist to provide other forms of access. This constitutes a separation of the course’s knowledge and skill base from the instructional methodology pursued. A session for example, is an instructor driven grouping that has instructional significance. Other instructional objects or artifacts that play particular roles in a methodology can be specified. We examine a problem based scenario and contrast it with an expository form of delivery. Adaptive hypermedia techniques driven by student profiling, are employed to provide students with feedback on their status with particular concepts. Students have access to all course metadata through a range of tools, along with web based tools to scrutinize and access information stored about them. This also includes the formal assessment maintained for the course and any individual settings used by the environment.

Bender, Nicholas, Hasan Yılmaz, Yaron Bromberg, and Hui Cao. "Customizing Speckle Statistics." In Frontiers in Optics. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/fio.2017.fw5b.2.

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Benford, Steve, Boriana Koleva, William Westwood Preston, Alice Angus, Emily-Clare Thorn, and Kevin Glover. "Customizing Hybrid Products." In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3173574.3173604.

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Kassem, Gamal, and Rene Schult. "ERP Self-Adaptive customizing." In Communication Technologies: from Theory to Applications (ICTTA). IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4530374.

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Cheema, Amina, and Arshad Ali Shahid. "Customizing Project Management Methodology." In 2005 Pakistan Section Multitopic Conference. IEEE, 2005. http://dx.doi.org/10.1109/inmic.2005.334390.

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Gelhausen, Tom, Bugra Derre, and Rubino Geiß. "Customizing grgen.net for model transformation." In the third international workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1402947.1402951.

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Weiler, Luc, Alexander Kröner, and Boris Brandherm. "Customizing instructions from smart objects." In the 2012 ACM Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2370216.2370464.

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Morais, Y., and G. Elias. "Customizing Message-Oriented Mobile Middleware." In 2010 6th International Conference on Wireless and Mobile Communications (ICWMC 2010). IEEE, 2010. http://dx.doi.org/10.1109/icwmc.2010.27.

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Lutze, Rainer. "Customizing cooperative office procedures by planning." In Conference Sponsored by ACM SIGOIS and IEEECS TC-OA. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/45410.45418.

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Звіти організацій з теми "Customizing":

Marshak, Ronni. Customizing Greeting Cards Online. Boston, MA: Patricia Seybold Group, June 2013. http://dx.doi.org/10.1571/ce06-20-13cc.

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Lemon, T., and T. Mrugalski. Customizing DHCP Configuration on the Basis of Network Topology. RFC Editor, October 2016. http://dx.doi.org/10.17487/rfc7969.

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Radhakrishnan, Balasubramaniam, Sarma Gorti, Ranadip Acharya, and Younggil Song. Predictive Tools for Customizing Heat Treatment of Additively Manufactured Aerospace Components. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1883850.

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Radhakrishnan, Balasubramaniam, Jean-Luc Fattebert, Sarma B. Gorti, Timor Haxhimali, Tahany El-Wardany, Ranadip Acharya, and Alexander Staroselsky. Integrated Predictive Tools for Customizing Microstructure and Material Properties of Additively Manufactured Aerospace Components. Office of Scientific and Technical Information (OSTI), December 2017. http://dx.doi.org/10.2172/1414688.

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Hendricks, M. D. Customizing the GeMS Toolbox for local requirements (presentation): U.S. Geological Survey Digital Mapping Techniques Workshop Series DMT Lite 2020 (A Virtual Event), Dec 8, 2020. Alaska Division of Geological & Geophysical Surveys, December 2020. http://dx.doi.org/10.14509/30858.

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Barrera, Victor, Alexis Villacis, Jeffrey Alwang, and Luis Escudero. Open configuration options New Products, New Markets: Dragon Fruit in Ecuador. Inter-American Development Bank, January 2022. http://dx.doi.org/10.18235/0003964.

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Анотація:

Expanding incomes in Asian countries and changes in fresh-fruit value chains have created an important niche for producers of dragon fruit. Ecuadorean producers have responded and taken advantage of these evolving opportunities and market dynamism. By customizing their products to the specific demands of target markets and complying with the standards imposed by modern buyers, Ecuadorian exporters of dragon fruit demonstrate how challenges related to and opportunities in agri-food markets evolution can be met. This study documents the development of the dragon fruit market in Ecuador, with a special emphasis on the analysis of its value chain. The study additionally identifies and analyzes the main drivers of the success of the production and exports of the fruit and examines the main challenges and needs for improved public policies to promote sustainable growth of the sector. Findings are complemented with interviews conducted with the principal actors in the Ecuadorian dragon fruit industry, as well as a case study that involves several relatively recently formed dragon fruit-producing companies in the Amazon region of the country.

Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3241.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business for business analytics and production, in sales for offerings and, for sales forecasting, in marketing for customizing customers, and recommendations on purchasing, digital marketing, in banking and insurance for risk assessment, fraud detection, scoring, and in medicine for disease forecasting, process automation and patient health monitoring, in tourism in the field of price analysis, flight safety, opinion mining etc. However, data science applications in education have been relatively limited, and many opportunities for advancing the fields still unexplored.