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1

Sharma, Nalin Kumar, and Janardhanan Sivaramakrishnan. Discrete-Time Higher Order Sliding Mode. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00172-8.

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2

Hirose, Akira. Higher order collisionless ballooning mode in tokamaks. Saskatoon, Sask: Plasma Physics Laboratory, University of Saskatchewan, 1994.

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3

Hadjiona, Stelios. Higher order mode ring resonator filters and oscillators. Manchester: UMIST, 1998.

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4

Zhu, Q. M. Properties of higher order correlation function tests for nonlinear model validation. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1996.

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5

Chabi-Yo, Fousseni. Conditioning information and variance bounds on pricing kernels with higher-order moments: Theory and evidence. Ottawa: Bank of Canada, 2006.

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6

Nowman, K. B. Open higher order continuous time dynamic model with mixed stock and flow data: Some further results. [Colchester]: University of Essex, Dept. of Economics, 1990.

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7

Han, Yanbo. Software infrastructure for configurable workflow systems: A model-driven approach based on higher order object nets and CORBA. Berlin: Wissenschaft und Technik, 1997.

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8

Nowman, K. B. Finite sample properties of the Gaussian estimation of an open higher order continuous time dynamic model with mixed stock and flow data. [Colchester]: University of Essex, Dept. of Economics, 1990.

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9

Bryans, Tricia. Mixed mode learning. Newcastle upon Tyne: University of Northumbria at Newcastle, Materials and Resources Centre for Enterprising Teaching, 1995.

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10

Higher order derivatives. Boca Raton: Taylor & Francis, 2012.

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11

Dominus, Mark Jason. Higher-Order Perl. San Diego: Elsevier Science, 2005.

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12

Steffen, Martin. Higher-order subtyping. Edinburgh: LFCS, Dept. of Computer Science, University of Edinburgh, 1994.

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13

Higher order asymptotics. Hayward, Calif: Institute of Mathematical Statistics, 1994.

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14

Longley, John, and Dag Normann. Higher-Order Computability. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47992-6.

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15

Ghosh, Jayanta K. Higher Order Asymptotics. Haywood CA and Alexandria VA: Institute of Mathematical Statistics and American Statistical Association, 1994. http://dx.doi.org/10.1214/cbms/1462297300.

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16

Battiston, Federico, and Giovanni Petri, eds. Higher-Order Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91374-8.

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17

Battiston, Federico, and Giovanni Petri, eds. Higher-Order Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91374-8.

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18

Billings, S. A. Estimating higher order spectra. Sheffield: University, Dept. of Control Engineering, 1986.

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19

Prehofer, Christian. Solving Higher-Order Equations. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1778-7.

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20

Weinstein, Jonathan. Impact of higher-order uncertainty. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2003.

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21

Karel, Segeth, and Dolez̆el Ivo, eds. Higher-order finite element methods. Boca Raton, Fla: Chapman & Hall/CRC, 2004.

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22

Amano, Ryoichi. Higher order turbulence closure models. Milwaukee, Wis: Dept. of Mechanical Engineering, University of Wisconsin-Milwaukee, 1988.

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23

Osborne, Michael James. Higher order parametric x-rays. Monterey, Calif: Naval Postgraduate School, 1991.

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24

Gennaro, Rocco J., ed. Higher-Order Theories of Consciousness. Amsterdam: John Benjamins Publishing Company, 2004. http://dx.doi.org/10.1075/aicr.56.

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25

Cheng, Yong. Incompleteness for Higher-Order Arithmetic. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9949-7.

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26

Viraswami, Kalyanee. Higher order asymptotics and robustness. Toronto: [s.n.], 1995.

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27

Gopalan, Nadathur, ed. Programming with higher-order logic. Cambridge: Cambridge University Press, 2012.

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28

Alestalo, Pekka. Uniform domains of higher order. Helsinki: Suomalainen Tiedeakatemia, 1994.

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29

Khalil, Asma, Liesbeth Lewi, and Enrico Lopriore, eds. Twin and Higher-order Pregnancies. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-47652-6.

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30

Lambek, J. Introduction to higher order catagorical logic. Cambridge: CUP, 1986.

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31

Kondō, Kazuo. Higher order geometry of the brain. [Japan: s.n.], 1999.

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32

Deninger, Christopher. Higher order operations in Deligne cohomology. [Münster: Mathematischen Instituts der Universität Münster, 1991.

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33

Barndorff-Nielsen, O. E. Derivative strings and higher order differentiation. Aarhus C, Denmark: Dept. of Theoretical Statistics, Institute of Mathematics, University of Aarhus, 1988.

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34

Nandi, Asoke Kumar. Blind Estimation Using Higher-Order Statistics. Boston, MA: Springer US, 1999.

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35

Ismail, Mohd Zaidi. Islam & higher-order thinking: An overview. Kuala Lumpur: Institute of Islamic Understanding Malaysia, 2014.

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36

Rahul, Mukerjee, ed. Probability Matching Priors: Higher Order Asymptotics. New York, NY: Springer New York, 2004.

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37

Higher order logic and hardware verification. Cambridge: Cambridge University Press, 1993.

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38

Camilleri, Albert. Hardware verification using higher-order logic. Cambridge: University of Cambridge, Computer Laboratory, 1986.

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39

Michael, Evans. Higher order envelope random variate generators. Toronto: University of Toronto, Dept. of Statistics, 1998.

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40

Assessment of higher order thinking skills. Charlotte, N.C: Information Age Pub., 2011.

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41

J, Scott P., ed. Introduction to higher order categorical logic. Cambridge [Cambridgeshire]: Cambridge University Press, 1986.

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42

Carreño, Victor A., César A. Muñoz, and Sofiène Tahar, eds. Theorem Proving in Higher Order Logics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45685-6.

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43

Vega, Jose Manuel, and Soledad Le Clainche. Higher Order Dynamic Mode Decomposition and Its Applications. Elsevier Science & Technology Books, 2020.

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44

Higher Order Dynamic Mode Decomposition and Its Applications. Elsevier, 2021. http://dx.doi.org/10.1016/c2019-0-00038-6.

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45

Center, Langley Research, ed. Sensitivity analysis of complex coupled systems to second and higher order derivatives. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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46

Shapiro, Stewart. Higher‐order Logic. Edited by Stewart Shapiro. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195325928.003.0025.

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The philosophical literature contains numerous claims on behalf of and numerous claims against higher-order logic. Virtually all of the issues apply to second-order logic (vis-à-vis first-order logic), so this article focuses on that. It develops the syntax of second-order languages and present typical deductive systems and model-theoretic semantics for them. This will help to explain the role of higher-order logic in the philosophy of mathematics. It is assumed that the reader has at least a passing familiarity with the theory and metatheory of first-order logic.
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47

Sharma, Nalin Kumar, and Janardhanan Sivaramakrishnan. Discrete-Time Higher Order Sliding Mode: The Concept and the Control. Springer, 2018.

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48

Sharma, Nalin Kumar, and Janardhanan Sivaramakrishnan. Discrete-Time Higher Order Sliding Mode: The Concept and the Control. Springer, 2019.

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49

Skipper, Mattias, and Asbjørn Steglich-Petersen, eds. Higher-Order Evidence. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198829775.001.0001.

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We often have reason to doubt our own ability to form rational beliefs, or to doubt that some particular belief of ours is rational. Perhaps we learn that a trusted friend disagrees with us about what our shared evidence supports. Or perhaps we learn that our beliefs have been afflicted by motivated reasoning or other cognitive biases. These are examples of higher-order evidence. While it may seem plausible that higher-order evidence should somehow impact our beliefs, it is less clear how and why. Normally, when evidence impacts our beliefs, it does so by virtue of speaking for or against the truth of their contents. But higher-order evidence does not directly concern the contents of the beliefs that they impact. In recent years, philosophers have become increasingly aware of the need to understand the nature and normative role of higher-order evidence. This is partly due to the pervasiveness of higher-order evidence in human life, for example in the form of disagreement. But it has also become clear that higher-order evidence lies at the heart of a number of central epistemological debates, spanning from classical disputes between internalists and externalists to more recent discussions of peer disagreement and epistemic akrasia. Many of the controversies within these and other debates stem, at least in part, from conflicting views about the normative significance of higher-order evidence. This collection brings together, for the first time, a distinguished group of leading and up-and-coming epistemologists to explore a wide range of interrelated issues about higher-order evidence.
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50

Guillery, Ray. Thalamic higher-order driver inputs as sensorimotor links. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198806738.003.0009.

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This chapter provides a closer look at the branching patterns of driver inputs to higher-order thalamic nuclei, and introduces their functional significance for discussion in later chapters. Their thalamic branches bring information for relay to higher cortical levels, including a copy of the information carried in the motor branches about anticipated cortical contributions to the control of actions and consequent changes in perceptions. In this way, the cortex can add to the control of an action when there is a mismatch between action and perception. Most of these branched axons that have so far been described come from early sensory areas and only a few from other, higher areas have been studied. These branching inputs are a part of the hierarchy of cortical areas that provide an opportunity for higher areas to monitor lower areas and, when needed, contribute to the motor control of the phylogenetically older brainstem and spinal centres. A far more extensive review of the branched thalamic driver inputs and their contributions to the control of actions than we have at present will be crucial for understanding the full complexity of the thalamic relay.
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