Academic literature on the topic 'Expanding knowledge in the mathematical sciences'
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Journal articles on the topic "Expanding knowledge in the mathematical sciences"
Corry, Leo. "Linearity and Reflexivity in the Growth of Mathematical Knowledge." Science in Context 3, no. 2 (1989): 409–40. http://dx.doi.org/10.1017/s0269889700000880.
Full textChen, Xiaohong, Jincheng Zhou, Jinqiu Wang, Dan Wang, Jiu Liu, Dingpu Shi, Duo Yang, and Qingna Pan. "Visualizing Status, Hotspots, and Future Trends in Mathematical Literacy Research via Knowledge Graph." Sustainability 14, no. 21 (October 25, 2022): 13842. http://dx.doi.org/10.3390/su142113842.
Full textDYER, JOSEPH. "The Place of Musica in Medieval Classifications of Knowledge." Journal of Musicology 24, no. 1 (January 1, 2007): 3–71. http://dx.doi.org/10.1525/jm.2007.24.1.3.
Full textIkeda, Toshikazu. "Development research of arithmetic and mathematics curriculum incorporating revolutionary and cumulative knowledge growth." Impact 2022, no. 5 (October 13, 2022): 20–22. http://dx.doi.org/10.21820/23987073.2022.5.20.
Full textGomez-Cabrero, David, Albert Compte, and Jesper Tegner. "Workflow for generating competing hypothesis from models with parameter uncertainty." Interface Focus 1, no. 3 (March 30, 2011): 438–49. http://dx.doi.org/10.1098/rsfs.2011.0015.
Full textKHODAKOVSKA, Olena, and Svitlana USTYCHENKO. "THE DEVELOPMENT OF MATHEMATICAL CULTURE OF STUDENTS AS A COMPONENT OF PROFESSIONAL COMPETENCE." Cherkasy University Bulletin: Pedagogical Sciences, no. 2 (2020): 131–36. http://dx.doi.org/10.31651/2524-2660-2020-2-131-136.
Full textRamiz Abdinov, Vidadi Akhundov, Ramiz Abdinov, Vidadi Akhundov. "METHODOLOGY FOR ASSESSING THE IMPACT OF INNOVATIONS ON THE PRODUCTION OF THE REGION'S FINAL PRODUCTS." PIRETC-Proceeding of The International Research Education & Training Centre 21, no. 04 (November 9, 2022): 33–38. http://dx.doi.org/10.36962/piretc21042022-33.
Full textTurovets, Yu M. "On the question of the methodology of research of administrative services in the field of construction." Analytical and Comparative Jurisprudence, no. 2 (July 24, 2022): 200–203. http://dx.doi.org/10.24144/2788-6018.2022.02.38.
Full textMcKiernan, Erin C., and Diano F. Marrone. "CA1 pyramidal cells have diverse biophysical properties, affected by development, experience, and aging." PeerJ 5 (September 19, 2017): e3836. http://dx.doi.org/10.7717/peerj.3836.
Full textMOTCH, CHRISTIAN. "The XMM-NEWTON VIEW ON NEUTRON STARS AND BLACK HOLES." International Journal of Modern Physics D 13, no. 07 (August 2004): 1229–37. http://dx.doi.org/10.1142/s0218271804005365.
Full textDissertations / Theses on the topic "Expanding knowledge in the mathematical sciences"
Wilensky, Uriel Joseph. "Connected mathematics : builiding concrete relationships with mathematical knowledge." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/29066.
Full textVan, de Merwe Chelsey Lynn. "Student Use of Mathematical Content Knowledge During Proof Production." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8474.
Full textSnyders, Sean. "Inductive machine learning bias in knowledge-based neurocomputing." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53463.
Full textENGLISH ABSTRACT: The integration of symbolic knowledge with artificial neural networks is becoming an increasingly popular paradigm for solving real-world problems. This paradigm named knowledge-based neurocomputing, provides means for using prior knowledge to determine the network architecture, to program a subset of weights to induce a learning bias which guides network training, and to extract refined knowledge from trained neural networks. The role of neural networks then becomes that of knowledge refinement. It thus provides a methodology for dealing with uncertainty in the initial domain theory. In this thesis, we address several advantages of this paradigm and propose a solution for the open question of determining the strength of this learning, or inductive, bias. We develop a heuristic for determining the strength of the inductive bias that takes the network architecture, the prior knowledge, the learning method, and the training data into consideration. We apply this heuristic to well-known synthetic problems as well as published difficult real-world problems in the domain of molecular biology and medical diagnoses. We found that, not only do the networks trained with this adaptive inductive bias show superior performance over networks trained with the standard method of determining the strength of the inductive bias, but that the extracted refined knowledge from these trained networks deliver more concise and accurate domain theories.
AFRIKAANSE OPSOMMING: Die integrasie van simboliese kennis met kunsmatige neurale netwerke word 'n toenemende gewilde paradigma om reelewereldse probleme op te los. Hierdie paradigma genoem, kennis-gebaseerde neurokomputasie, verskaf die vermoe om vooraf kennis te gebruik om die netwerkargitektuur te bepaal, om a subversameling van gewigte te programeer om 'n leersydigheid te induseer wat netwerkopleiding lei, en om verfynde kennis van geleerde netwerke te kan ontsluit. Die rol van neurale netwerke word dan die van kennisverfyning. Dit verskaf dus 'n metodologie vir die behandeling van onsekerheid in die aanvangsdomeinteorie. In hierdie tesis adresseer ons verskeie voordele wat bevat is in hierdie paradigma en stel ons 'n oplossing voor vir die oop vraag om die gewig van hierdie leer-, of induktiewe sydigheid te bepaal. Ons ontwikkel 'n heuristiek vir die bepaling van die induktiewe sydigheid wat die netwerkargitektuur, die aanvangskennis, die leermetode, en die data vir die leer proses in ag neem. Ons pas hierdie heuristiek toe op bekende sintetiese probleme so weI as op gepubliseerde moeilike reelewereldse probleme in die gebied van molekulere biologie en mediese diagnostiek. Ons bevind dat, nie alleenlik vertoon die netwerke wat geleer is met die adaptiewe induktiewe sydigheid superieure verrigting bo die netwerke wat geleer is met die standaardmetode om die gewig van die induktiewe sydigheid te bepaal nie, maar ook dat die verfynde kennis wat ontsluit is uit hierdie geleerde netwerke meer bondige en akkurate domeinteorie lewer.
Schreiber, Raphael, and Moisin Monica Bota. "Rebranding “Made in India” through Cultural Sustainability : Exploring and Expanding Indian Perspectives." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25395.
Full textBryngelsson, Erik. "Mathematical Knowledge for Teaching (MKT) i praktiken : Vilka kunskaper krävs för att undervisa matematik?" Thesis, Södertörns högskola, Lärarutbildningen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-43021.
Full textGeorge, Bam Angely, and Mathio Oraha. "Hur uppmärksammar lärare att elever är i behov av särskilt stöd i matematikundervisningen?" Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-56084.
Full textWalker, Geoffrey. "Communities of practice, networks & technologies : the dynamics of knowledge flows within third sector organisations in the North East of England." Thesis, Northumbria University, 2008. http://nrl.northumbria.ac.uk/3385/.
Full textIwuanyanwu, Paul Nnanyereugo. "Pre-service science teachers’ conceptual and procedural difficulties in solving mathematical problems in physical science." Thesis, University of the Western Cape, 2014. http://hdl.handle.net/11394/4002.
Full textStudents frequently leave first-year physical science classes with a dual set of physical laws in mind- the equations to be applied to qualitative problems and the entrenched set of concepts, many erroneous, to be applied to qualitative, descriptive, or explanatory problems. It is in this sense that the emphasis of this study is on ‘change’ rather than acquisition. Thus, a blend of theoretical framework was considered according to the aim of the study. Of immediate relevance in this regard within the “constructivist paradigm” are: Posner, Strike, Hewson and Gertzog’s (1982) conceptual change theory and the revised Bloom’s Taxonomy. Moreover, the very shift or restructuring of existing knowledge, concepts or schemata is what distinguishes conceptual change from other types of learning, and provides students with a more fruitful conceptual framework to solve problems, explain phenomena, and function in the world (Biemans & Simons, 1999; Davis, 2011). A quasi-experimental design was adopted to explore pre-service teachers’ conceptual and procedural difficulties in solving mathematical problems in physical science. Sixteen second and third year pre-service teachers in one of the historically black universities in the Western Cape, South Africa, participated in the study. Two inseparable concepts of basic mechanics, work-energy concepts were taught and used for data collection. Data were collected using questionnaires, Physical Science Achievement Test (PSAT), Multiple Reflective Questions (MRQ) and an interview. An explicit problem solving strategy (IDEAL strategy versus maths-in-science instructional model) was taught in the intervention sessions for duration of three weeks to the experimental group (E-group). IDEAL strategy placed emphasis on drill and practice heuristics that helped the pre-service teachers’ (E-group) understanding of problem-solving. Reinforcing heuristics of this IDEAL strategy include breaking a complex problem into sub-problems. Defining and representing problem (e.g. devising a plan-using Free-Body-Diagram) was part of the exploring possible strategies of the IDEAL. More details on IDEAL strategy are discussed in Chapter 3. The same work-energy concepts were taught to the control group (C-group) using lecture-demonstration method. A technique (i.e. revised taxonomy table for knowledge and cognitive process dimension) was used to categorize and analyse the level of difficulties for each item tested (e.g. D1 = minor difficulty, D2 = major difficulty, and D3 = atypical difficulty
Wade, Richard Peter. "A systematics for interpreting past structures with possible cosmic references in Sub-Saharan Africa." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-05052009-174557/.
Full textKalash, Abeer. "Trust modelling through social sciences." Thesis, 2014. http://hdl.handle.net/1805/6454.
Full textIn today's fast paced world, people have become increasingly interested in online communication to facilitate their lives and make it faster. This goes on from simple social interactions to more advanced actions like shopping on the internet. The presence of such activities makes it crucial for people to use their common sense and judgment to process all this information and evaluate what/who they trust and what/whom they do not. This process would have been much easier if the number of people in such networks is really small and manageable. However, there are millions of users who are hooked online every day. This makes the person very overwhelmed with his trusting decision, especially when it comes to interacting with strangers over the internet, and/or buying personal items, especially expensive ones. Therefore, many trust models have been proposed by computer scientists trying to evaluate and manage the trust between users using different techniques and combining many factors. What these computer scientists basically do is coming up with mathematical formulas and models to express trust in online networks and capture its parameters. However, social scientists are the people better trained to deal with concepts related to human behaviors and their cognitive thinking such as trust. Thus, in order for computer scientists to support their ideas and get a better insight about how to direct their research, people like social scientists should contribute. With this in mind, we realized in our group work the importance of such contribution, so we came up with the idea of my research work. In my search, I tried to find how these social scientists think and tackle a dynamic notion like trust, so we can use their findings in order to enhance our work and trust model. Through the chapters, I will discuss an already developed trust model that uses measurement theory in modeling trust. I will refer back to this model and see how other social scientists dealt with some of the issues encountered by the model and its functionality. Some small experiments have been done to show and compare our results with social scientists results for the same matter. One of the most important and controversial points to be discussed from social scientists' point of view is whether trust is transitive or not. Other points to be discussed and supported by social scientists' research include aggregation, reputation, timing effects on trust, reciprocity, and experience effects on trust. Some of these points are classified into trust mapping categories and others are related to trust management or decision making stages. In sum, this work is a multidisciplinary study of trust whose overall goal is to enhance our work and results, as computer scientists.
Books on the topic "Expanding knowledge in the mathematical sciences"
Peter, Müller. Computer modelling in atmospheric and oceanic sciences: Building knowledge. Berlin: Springer, 2004.
Find full textWhitley, Richard. Knowledge and practice in the management and policy sciences. Manchester: Manchester Business School, 1989.
Find full text1953-, Roth Wolff-Michael, ed. Scientific & mathematical bodies: The interface of culture and mind. Rotterdam: Sense Publishers, 2011.
Find full textBarbin, Evelyne. The Dialectic Relation Between Physics and Mathematics in the XIXth Century. Dordrecht: Springer Netherlands, 2013.
Find full textDybjer, P. Epistemology versus Ontology: Essays on the Philosophy and Foundations of Mathematics in Honour of Per Martin-Löf. Dordrecht: Springer Netherlands, 2012.
Find full textGillispie, Charles C. Lazare and Sadi Carnot: A Scientific and Filial Relationship. Dordrecht: Springer Netherlands, 2013.
Find full textSubrahmanian, V. S. Computational Analysis of Terrorist Groups: Lashkar-e-Taiba: Lashkar-e-Taiba. New York, NY: Springer New York, 2013.
Find full textCanadian Association for Information Science. Conference. Advancing knowledge: Expanding horizons for information science : proceedings of the 30th Annual Conference of the Canadian Association for Information Science, Faculty of Information Studies, University of Toronto, May 30-June 01, 2002 = L'avancement du savoir : élargir les horizons des sciences de l'information : travaux de 30e congr`es annuel de l'Association canadienne des sciences de l'information, Faculty of Information Studies, University of Toronto, 30 mai-01 juin 2002. [Toronto: Canadian Association for Information Science, 2002.
Find full textKorolev, Oleg, Mihail Kussyy, Anatoliy Sigal, Veniamin Livshic, and Evgeniy Solozhencev. The use of entropy in modeling decision-making processes in economics. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1865188.
Full textZhang, Wei-Bin. Capital and Knowledge: Dynamics of Economic Structures with Non-Constant Returns. Springer London, Limited, 2012.
Find full textBook chapters on the topic "Expanding knowledge in the mathematical sciences"
Ferreirós, José. "Mathematical Knowledge and the Interplay of Practices." In EPSA Philosophical Issues in the Sciences, 55–64. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3252-2_6.
Full textKohlhase, Michael, Luca De Feo, Dennis Müller, Markus Pfeiffer, Florian Rabe, Nicolas M. Thiéry, Victor Vasilyev, and Tom Wiesing. "Knowledge-Based Interoperability for Mathematical Software Systems." In Mathematical Aspects of Computer and Information Sciences, 195–210. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72453-9_14.
Full textDjebbar, Ahmed. "Mathematical Knowledge Fields in the Islamicate World." In Routledge Handbook on the Sciences in Islamicate Societies, 555–65. London: Routledge, 2023. http://dx.doi.org/10.4324/9781315170718-50.
Full textValente, K. G. "Queer(y)ing Mathematical Knowledge and Practices." In Handbook of the Mathematics of the Arts and Sciences, 1–18. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-70658-0_71-1.
Full textValente, K. G. "Queer(y)ing Mathematical Knowledge and Practices." In Handbook of the Mathematics of the Arts and Sciences, 2777–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-57072-3_71.
Full textWiesing, Tom, Michael Kohlhase, and Florian Rabe. "Virtual Theories – A Uniform Interface to Mathematical Knowledge Bases." In Mathematical Aspects of Computer and Information Sciences, 243–57. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72453-9_17.
Full textFantinelli, Stefania. "Knowledge Creation Processes Between Open Source Intelligence and Knowledge Management." In Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences, 377–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54819-7_25.
Full textChen, Wen-Chi, Jin-De Chang, Wen-Hong Chiu, Cheng-Lung Lee, Hui-Ru Chi, and Pei-Fen Tsai. "Mathematical Demonstration of Astronomical and Geographical Knowledge." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 375–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06158-6_36.
Full textHeggen, Marianne Presthus, and Anne Myklebust Lynngård. "Curious Curiosity – Reflections on How Early Childhood Lecturers Perceive Children’s Curiosity." In International Perspectives on Early Childhood Education and Development, 183–201. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72595-2_11.
Full textRemmert, Volker R. "The Art of Garden and Landscape Design and the Mathematical Sciences in the Early Modern Period." In Gardens, Knowledge and the Sciences in the Early Modern Period, 9–28. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26342-7_2.
Full textConference papers on the topic "Expanding knowledge in the mathematical sciences"
Tsai, Hsine-Jen, Les Miller, Ming Hua, Sree Nilakanta, and Meher Vani Bojja. "Expanding the Disaster Management Knowledge Space through Spatial Mediation." In 2012 45th Hawaii International Conference on System Sciences (HICSS). IEEE, 2012. http://dx.doi.org/10.1109/hicss.2012.262.
Full textCroasdell, D. T., and Y. K. Wang. "Virtue-nets: toward a model for expanding knowledge networks." In 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the. IEEE, 2004. http://dx.doi.org/10.1109/hicss.2004.1265594.
Full textBidaibekov, Yessen Y., Viktor S. Kornilov, Guldina B. Kamalova, and Nagima Sh Akimzhan. "Fundamentalization of knowledge system on applied mathematics in teaching students of inverse problems for differential equations." In ADVANCEMENTS IN MATHEMATICAL SCIENCES: Proceedings of the International Conference on Advancements in Mathematical Sciences. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4930470.
Full textKhatimin, Nuraini, Azami Zaharim, and Azrilah Abd Aziz. "Validation of instruments to measure students' mathematical knowledge." In THE 2ND ISM INTERNATIONAL STATISTICAL CONFERENCE 2014 (ISM-II): Empowering the Applications of Statistical and Mathematical Sciences. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4907521.
Full textTajudin, Nor'ain Mohd, and Noor Zarinawaty Abd Kadir. "Technological pedagogical content knowledge and teaching practice of mathematics trainee teachers." In PROCEEDINGS OF THE 21ST NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM21): Germination of Mathematical Sciences Education and Research towards Global Sustainability. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4887681.
Full textBinti Mohamad Sani, Nur Syafiqah, and Nur Syafiqah Binti Mohamad Sani. "Towards a framework to measure knowledge transfer in organizations." In 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC). IEEE, 2015. http://dx.doi.org/10.1109/ismsc.2015.7594062.
Full textGobithaasan, R. U., Kenjiro T. Miura, and Mohamad Nor Hassan. "Bridging CAGD knowledge into CAD/CG applications: Mathematical theories as stepping stones of innovations." In PROCEEDINGS OF THE 21ST NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM21): Germination of Mathematical Sciences Education and Research towards Global Sustainability. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4887595.
Full textWan Salleh, Masturah, and Hajar Sulaiman. "A survey on the effectiveness of using GeoGebra software towards lecturers' conceptual knowledge and procedural mathematics." In PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Research in Mathematical Sciences: A Catalyst for Creativity and Innovation. AIP, 2013. http://dx.doi.org/10.1063/1.4801143.
Full textSaniah Sulaiman, Nor Intan, Saadiah Ghazali, Rose Alinda Alias, Mohd Faizal Omar, and Nerda Zura Zabidi. "Multi attribute decision making assessment on knowledge sharing through social media." In 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC). IEEE, 2015. http://dx.doi.org/10.1109/ismsc.2015.7594050.
Full textMun, Johnathan, Nelson R. de Albuquerque, Choong-Yeun Liong, and Abdul Razak Salleh. "Fuzzy inference systems, ASKE, knowledge value added, and Monte Carlo risk simulation for evaluating intangible human capital investments." In PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Research in Mathematical Sciences: A Catalyst for Creativity and Innovation. AIP, 2013. http://dx.doi.org/10.1063/1.4801263.
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