Journal articles on the topic 'Energy transfer'

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1

Eom, T. Y., C. S. Oh, and S. J. Park. "Wireless Power Transfer Technologies Trends." Journal of Energy Engineering 24, no. 2 (June 30, 2015): 174–78. http://dx.doi.org/10.5855/energy.2015.24.2.174.

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2

Tapolsky, Gilles, Rich Duesing, and Thomas J. Meyer. "Intramolecular energy transfer by an electron/energy transfer cascade." Journal of Physical Chemistry 93, no. 10 (May 1989): 3885–87. http://dx.doi.org/10.1021/j100347a004.

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3

Chang, Byong-Hoon. "Natural Convection Heat Transfer in Inclined Rectangular Enclosures." Journal of Energy Engineering 20, no. 1 (March 31, 2011): 44–53. http://dx.doi.org/10.5855/energy.2011.20.1.044.

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4

Pardeshi, Akash. "Wireless Energy Transfer." IOSR Journal of Electrical and Electronics Engineering 8, no. 1 (2013): 69–79. http://dx.doi.org/10.9790/1676-0816979.

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5

Krenn, Joachim R. "Watching energy transfer." Nature Materials 2, no. 4 (April 2003): 210–11. http://dx.doi.org/10.1038/nmat865.

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6

Tsakmakidis, Kosmas. "Molecular energy transfer." Nature Materials 11, no. 12 (November 23, 2012): 1002. http://dx.doi.org/10.1038/nmat3514.

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7

Flynn, George W., Charles S. Parmenter, and Alec M. Wodtke. "Vibrational Energy Transfer." Journal of Physical Chemistry 100, no. 31 (January 1996): 12817–38. http://dx.doi.org/10.1021/jp953735c.

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8

Chen, Yingying, Bo Liu, Hongbo Liu, and Yudong Yao. "VLC-based Data Transfer and Energy Harvesting Mobile System." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 01 (March 1, 2021): 01–09. http://dx.doi.org/10.5383/juspn.15.01.001.

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This paper explores a low-cost portable visible light communication (VLC) system to support the increasing needs of lightweight mobile applications. VLC grows rapidly in the past decade for many applications (e.g., indoor data transmission, human sensing, and visual MIMO) due to its RF interference immunity and inherent high security. However, most existing VLC systems heavily rely on fixed infrastructures with less adaptability to emerging lightweight mobile applications. This work proposes Light Storage, a portable VLC system takes the advantage of commercial smartphone flashlights as the transmitter and a solar panel equipped with both data reception and energy harvesting modules as the receiver. Light Storage can achieve concurrent data transmission and energy harvesting from the visible light signals. It develops multi-level light intensity data modulation to increase data throughput and integrates the noise reduction functionality to allow portability under various lighting conditions. The system supports synchronization together with adaptive error correction to overcome both the linear and non-linear signal offsets caused by the low time-control ability from the commercial smartphones. Finally, the energy harvesting capability in Light Storage provides sufficient energy support for efficient short range communication. Light Storage is validated in both indoor and outdoor environments and can achieve over 98% data decoding accuracy, demonstrating the potential as an important alternative to support low-cost and portable short range communication.
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9

Gridin, S. "Energy transfer in co-doped NaI:(Tl,Eu) crystals." Functional materials 22, no. 4 (December 15, 2015): 498–502. http://dx.doi.org/10.15407/fm21.04.498.

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10

Kubsch, Marcus, and Paul C. Hamerski. "Dynamic Energy Transfer Models." Physics Teacher 60, no. 7 (October 2022): 583–85. http://dx.doi.org/10.1119/5.0037727.

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Energy is a disciplinary core idea and a cross-cutting concept in the K-12 Framework for Science Education and the Next Generation Science Standards (NGSS). As numerous authors point out, the energy model in these standards emphasizes the connections between energy and systems. Using energy ideas to interpret or make sense of phenomena means tracking transfers of energy across systems (including objects and fields) as phenomena unfold. To support students in progressing towards this goal, numerous representations—both static and dynamic—that describe the flow of energy across systems exist. Static representations work well to describe phenomena where the flow of energy is unidirectional and the dynamics are not a focus but struggle to represent circular energy flows and the temporal order of complex, dynamic phenomena. Existing dynamic representations like Energy Theater are usually qualitative, i.e., they represent energy in ways that differentiate between larger or smaller rates of transfer but do not provide a more detailed quantitative picture. In this article, we present how an existing, empirically tested, static representation called Energy Transfer Model (ETM) can be turned into a dynamic representation that is quantitatively accurate using the freely available 3D animation programming environment GlowScript ( https://www.glowscript.org ). To do so, we first summarize the central ideas in a model of energy that emphasizes the idea of energy transfer between systems, and we describe how the ETM represents those ideas. Then, we introduce the dynamic ETM and explain how it goes beyond the limitations of its static counterpart and how its quantitative accuracy adds to existing dynamic representations. Lastly, we discuss how the dynamic ETM can be used to integrate computational thinking into the physics classroom.
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11

Lee, Suk Young. "Dynamic Analysis of a Three-Axis Mechanism for Transfer Robots." Journal of Energy Engineering 24, no. 3 (September 30, 2015): 128–34. http://dx.doi.org/10.5855/energy.2015.24.3.128.

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12

Zhang, Xiaofeng, Qing Ai, Kuilong Song, and Heping Tan. "Bidirectional monte carlo method for thermal radiation transfer in participating medium." AIMS Energy 9, no. 3 (2021): 603–22. http://dx.doi.org/10.3934/energy.2021029.

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13

Badawi, A., S. A. Kazmi, R. I. Boby, M. H. Shah, and K. Matter. "Resonant Circuit Response for Contactless Energy Transfer under Variable PWM." International Journal of Information and Electronics Engineering 7, no. 1 (2017): 41–47. http://dx.doi.org/10.18178/ijiee.2017.7.1.659.

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14

Ramamurthy, V., P. Lakshminarasimhan, Clare P. Grey, and Linda J. Johnston. "Energy transfer, proton transfer and electron transfer reactions within zeolites." Chemical Communications, no. 22 (1998): 2411–24. http://dx.doi.org/10.1039/a803871f.

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15

Willard, Dale M., and Alan Van Orden. "Resonant energy-transfer sensor." Nature Materials 2, no. 9 (September 2003): 575–76. http://dx.doi.org/10.1038/nmat972.

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16

Knight, Troy E., and James K. McCusker. "Orbital-Specific Energy Transfer." Journal of the American Chemical Society 132, no. 7 (February 24, 2010): 2208–21. http://dx.doi.org/10.1021/ja907303t.

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17

Skourtis, Spiros S., Chaoren Liu, Panayiotis Antoniou, Aaron M. Virshup, and David N. Beratan. "Dexter energy transfer pathways." Proceedings of the National Academy of Sciences 113, no. 29 (July 5, 2016): 8115–20. http://dx.doi.org/10.1073/pnas.1517189113.

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Energy transfer with an associated spin change of the donor and acceptor, Dexter energy transfer, is critically important in solar energy harvesting assemblies, damage protection schemes of photobiology, and organometallic opto-electronic materials. Dexter transfer between chemically linked donors and acceptors is bridge mediated, presenting an enticing analogy with bridge-mediated electron and hole transfer. However, Dexter coupling pathways must convey both an electron and a hole from donor to acceptor, and this adds considerable richness to the mediation process. We dissect the bridge-mediated Dexter coupling mechanisms and formulate a theory for triplet energy transfer coupling pathways. Virtual donor–acceptor charge-transfer exciton intermediates dominate at shorter distances or higher tunneling energy gaps, whereas virtual intermediates with an electron and a hole both on the bridge (virtual bridge excitons) dominate for longer distances or lower energy gaps. The effects of virtual bridge excitons were neglected in earlier treatments. The two-particle pathway framework developed here shows how Dexter energy-transfer rates depend on donor, bridge, and acceptor energetics, as well as on orbital symmetry and quantum interference among pathways.
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18

Gregor, Ingo, Alexey Chizhik, Narain Karedla, and Jörg Enderlein. "Metal-induced energy transfer." Nanophotonics 8, no. 10 (August 24, 2019): 1689–99. http://dx.doi.org/10.1515/nanoph-2019-0201.

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AbstractSince about a decade, metal-induced energy transfer (MIET) has become a tool to measure the distance of fluorophores to a metal-coated surface with nanometer accuracy. The energy transfer from a fluorescent molecule to surface plasmons within a metal film results in the acceleration of its radiative decay rate. This can be observed as a reduction of the molecule’s fluorescence lifetime which can be easily measured with standard microscopy equipment. The achievable distance resolution is in the nanometer range, over a total range of about 200 nm. The method is perfectly compatible with biological and even live cell samples. In this review, we will summarize the theoretical and technical details of the method and present the most important results that have been obtained using MIET. We will also show how the latest technical developments can contribute to improving MIET, and we sketch some interesting directions for its future applications in the life sciences.
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19

Saks, Valdur A., Theo Wallimann, and Uwe Schlattner. "Calcium and energy transfer." Journal of Physiology 565, no. 2 (June 2005): 703. http://dx.doi.org/10.1113/jphysiol.2005.565101.

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20

ALHUSSAN, KHALED. "METHOD OF ENERGY TRANSFER." Modern Physics Letters B 19, no. 28n29 (December 20, 2005): 1663–66. http://dx.doi.org/10.1142/s0217984905010165.

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The aim of this paper is to show numerically the semi-ideal way of transferring energy in the non-steady supersonic mechanism. Energy can be transferred between two fluids in semi-ideal process if the two fluids are brought together for a direct contact. This paper shows the energy transfer between two fluids via the direct fluid-fluid interaction in a non-steady supersonic flow. This was shown by using two fluids one with higher energy than the other. Results including contour plots of static pressure, static temperature, and total pressure and velocity vectors show the structure of flow of the energy-transfer-mechanism in a supersonic flow.
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21

Harvey, Alex. "Energy transfer between satellites." American Journal of Physics 73, no. 5 (May 2005): 389. http://dx.doi.org/10.1119/1.1848118.

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22

Solarz, P., and W. Ryba-Romanowski. "Energy transfer processes in :." Radiation Measurements 42, no. 4-5 (April 2007): 759–62. http://dx.doi.org/10.1016/j.radmeas.2007.02.007.

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23

Treviño, George. "Energy transfer in turbulence." Physics of Fluids A: Fluid Dynamics 1, no. 12 (December 1989): 2061–64. http://dx.doi.org/10.1063/1.857481.

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24

Selvin, Paul R., Tariq M. Rana, and John E. Hearst. "Luminescence Resonance Energy Transfer." Journal of the American Chemical Society 116, no. 13 (June 1994): 6029–30. http://dx.doi.org/10.1021/ja00092a088.

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25

Brown, D. W., K. Lindenberg, and B. J. West. "THERMODYNAMICALLY CONSISTENT ENERGY TRANSFER." Le Journal de Physique Colloques 46, no. C7 (October 1985): C7–41—C7–44. http://dx.doi.org/10.1051/jphyscol:1985708.

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26

Savadatti, Maharudrappa I., Sanjeev R. Inamdar, Ningayya N. Math, and Abdulgani D. Mulla. "Energy-transfer dye lasers." Journal of the Chemical Society, Faraday Transactions 2 82, no. 12 (1986): 2417. http://dx.doi.org/10.1039/f29868202417.

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27

MacColl, Robert. "Allophycocyanin and energy transfer." Biochimica et Biophysica Acta (BBA) - Bioenergetics 1657, no. 2-3 (July 2004): 73–81. http://dx.doi.org/10.1016/j.bbabio.2004.04.005.

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28

Andersen, Nils. "Wind energy technology transfer." Renewable Energy 5, no. 1-4 (August 1994): 556–65. http://dx.doi.org/10.1016/0960-1481(94)90434-0.

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29

Clegg, Robert M. "Fluorescence resonance energy transfer." Current Opinion in Biotechnology 6, no. 1 (January 1995): 103–10. http://dx.doi.org/10.1016/0958-1669(95)80016-6.

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30

Chua, M., P. A. Tanner, and M. F. Reid. "Phonon-assisted energy transfer." Journal of Luminescence 60-61 (April 1994): 838–41. http://dx.doi.org/10.1016/0022-2313(94)90291-7.

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31

Pandey, K. K., and T. C. Pant. "Diffusion-modulated energy transfer." Chemical Physics Letters 170, no. 2-3 (July 1990): 244–52. http://dx.doi.org/10.1016/0009-2614(90)87123-9.

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32

Colbow, Konrad, and R. P. Dunyluk. "Energy transfer in photosynthesis." International Journal of Quantum Chemistry 10, S3 (June 18, 2009): 151–59. http://dx.doi.org/10.1002/qua.560100718.

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33

Fedchenia, I. I., and P. O. Westlund. "Energy transfer between two mobile chromophores in a zero energy transfer configuration." Molecular Physics 84, no. 1 (January 1995): 159–69. http://dx.doi.org/10.1080/00268979500100121.

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34

Selvin, P. R., and J. E. Hearst. "Luminescence energy transfer using a terbium chelate: improvements on fluorescence energy transfer." Proceedings of the National Academy of Sciences 91, no. 21 (October 11, 1994): 10024–28. http://dx.doi.org/10.1073/pnas.91.21.10024.

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35

Kim, Youngchan, Grace H. Taumoefolau, Henry L. Puhl, Tuan A. Nguyen, Paul S. Blank, and Steven S. Vogel. "Anomalous Ultra-Fast Energy Transfer Suggests Coherent Energy Transfer between Fluorescence Proteins." Biophysical Journal 114, no. 3 (February 2018): 683a. http://dx.doi.org/10.1016/j.bpj.2017.11.3684.

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36

Kum, Sung-Min. "Heat Transfer Characteristics by Rods in Transition Region of Impinging Air Jet." Journal of Energy Engineering 20, no. 2 (June 30, 2011): 96–102. http://dx.doi.org/10.5855/energy.2011.20.2.096.

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37

Park, Joo-Hyun, and Bum-Jin Chung. "Natural Convection Heat Transfer of an Inclined Helical Coil in a Duct." Journal of Energy Engineering 23, no. 2 (June 30, 2014): 13–20. http://dx.doi.org/10.5855/energy.2014.23.2.013.

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38

Park, Hae-Kyun, and Bum-Jin Chung. "Natural Convection Heat Transfer in a Hemispherical Pool with Volumetric Heat Sources." Journal of Energy Engineering 24, no. 3 (September 30, 2015): 135–41. http://dx.doi.org/10.5855/energy.2015.24.3.135.

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39

Sun, Oliver M., and Robert Pinkel. "Subharmonic Energy Transfer from the Semidiurnal Internal Tide to Near-Diurnal Motions over Kaena Ridge, Hawaii." Journal of Physical Oceanography 43, no. 4 (April 1, 2013): 766–89. http://dx.doi.org/10.1175/jpo-d-12-0141.1.

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Abstract Nonlinear energy transfers from the semidiurnal internal tide to high-mode, near-diurnal motions are documented near Kaena Ridge, Hawaii, an energetic generation site for the baroclinic tide. Data were collected aboard the Research Floating Instrument Platform (FLIP) over a 35-day period during the fall of 2002, as part of the Hawaii Ocean Mixing Experiment (HOME) Nearfield program. Energy transfer terms for a PSI resonant interaction at midlatitude are identified and compared to those for near-inertial PSI close to the M2 critical latitude. Bispectral techniques are used to demonstrate significant energy transfers in the Nearfield, between the low-mode M2 internal tide and subharmonic waves with frequencies near M2/2 and vertical wavelengths of O(120 m). A novel prefilter is used to test the PSI wavenumber resonance condition, which requires the subharmonic waves to propagate in opposite vertical directions. Depth–time maps of the interactions, formed by directly estimating the energy transfer terms, show that energy is transferred predominantly from the tide to subharmonic waves, but numerous reverse energy transfers are also found. A net forward energy transfer rate of 2 × 10−9 W kg−1 is found below 400 m. The suggestion is that the HOME observations of energy transfer from the tide to subharmonic waves represent a first step in the open-ocean energy cascade. Observed PSI transfer rates could account for a small but significant fraction of the turbulent dissipation of the tide within 60 km of Kaena Ridge. Further extrapolation suggests that integrated PSI energy transfers equatorward of the M2 critical latitude may be comparable to PSI energy transfers previously observed near 28.8°N.
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40

Howard, Stephen L. "Vibrational energy transfer in symmetric N2 charge transfer." Canadian Journal of Physics 69, no. 5 (May 1, 1991): 584–87. http://dx.doi.org/10.1139/p91-097.

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Results of the crossed-beam investigation of the symmetric charge-transfer reaction of N2+ (X2Σg, ν = 0) with N2 (X1Σg, ν = 0) near 10 eV collision energy showed a symmetrically resonant channel with Δν = 0 as well as a series of inelastically scattered channels. Upon deconvolution to remove the Δν = 0 contribution, the inelastic Δν = 1, 2, and 4 channels were readily observed.
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41

Vakakis, Alexander F. "Passive nonlinear targeted energy transfer." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376, no. 2127 (July 23, 2018): 20170132. http://dx.doi.org/10.1098/rsta.2017.0132.

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Nonlinearity in dynamics and acoustics may be viewed as scattering of energy across frequencies/wavenumbers. This is in contrast with linear systems when no such scattering exists. Motivated by irreversible large-to-small-scale energy transfers in turbulent flows, passive targeted energy transfers (TET) in mechanical and structural systems incorporating intentional strong nonlinearities are considered. Transient or permanent resonance captures are basic mechanisms for inducing TET in such systems, as well as nonlinear energy scattering across scales caused by strongly nonlinear resonance interactions. Certain theoretical concepts are reviewed, and some TET applications are discussed. Specifically, it is shown that the addition of strongly nonlinear local attachments in an otherwise linear dynamical system may induce energy scattering across scales and ‘redistribution' of input energy from large to small scales in the linear modal space, in similarity to energy cascades that occur in turbulent flows. Such effects may be intentionally induced in the design stage and may lead to improved performance, e.g. it terms of vibration and shock isolation or energy harvesting. In addition, a simple mechanical analogue in the form of a nonlinear planar chain of particles composed of linear stiffness elements but exhibiting strong nonlinearity due to kinematic and geometric effects is discussed, exhibiting similar energy scattering across scales in its acoustics. These results demonstrate the efficacy of intentional utilization of strong nonlinearity in design to induce predictable and controlled intense multi-scale energy transfers in the dynamics and acoustics of a broad class of systems and structures, thus achieving performance objectives that would be not possible in classical linear settings. This article is part of the theme issue ‘Nonlinear energy transfer in dynamical and acoustical systems’.
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42

Kim, Jong-Min, Jinsu Kim, Byeonghun Yu, Sungmin Kum, Chang-Eon Lee, and Seungro Lee. "Heat Transfer and Pressure Drop of Cross-flow Heat Exchanger on Modules Variation." Journal of Energy Engineering 22, no. 2 (June 30, 2013): 120–27. http://dx.doi.org/10.5855/energy.2013.22.2.120.

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43

Strouse, Geoffrey F., Laura A. Worl, Janet N. Younathan, and Thomas J. Meyer. "Long-range energy transfer in a soluble polymer by an energy-transfer cascade." Journal of the American Chemical Society 111, no. 25 (December 1989): 9101–2. http://dx.doi.org/10.1021/ja00207a017.

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44

Frost, Michael J. "Energy transfer in the 31,214151Fermi‐resonant states of acetylene. I. Rotational energy transfer." Journal of Chemical Physics 98, no. 11 (June 1993): 8572–79. http://dx.doi.org/10.1063/1.464517.

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45

Lulu Wang, Lulu Wang, Changtai Xia Changtai Xia, Peng Xu Peng Xu, Juqing Di Juqing Di, Qinglin Sai Qinglin Sai, and Fei Mou Fei Mou. "Energy transfer in Ce, Nd, and Yb co-doped YAG phosphors." Chinese Optics Letters 11, no. 6 (2013): 061604–61607. http://dx.doi.org/10.3788/col201311.061604.

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46

Fang, Yingping, Gota Kikugawa, Hiroki Matsubara, Takeshi Bessho, Seiji Yamashita, and Taku Ohara. "108 Molecular Thermal Energy Transfer in Binary Mixture of Simple Liquids." Proceedings of Conference of Tohoku Branch 2016.51 (2016): 15–16. http://dx.doi.org/10.1299/jsmeth.2016.51.15.

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47

Jiao, Dongbin, Liangjun Ke, Shengbo Liu, and Felix Chan. "Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels." Sensors 19, no. 4 (February 14, 2019): 785. http://dx.doi.org/10.3390/s19040785.

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In this work, we investigate the capacity allocation problem in the energy harvesting wireless sensor networks (WSNs) with interference channels. For the fixed topologies of data and energy, we formulate the optimization problem when the data flow remains constant on all data links and each sensor node harvests energy only once in a time slot. We focus on the optimal data rates, power allocations and energy transfers between sensor nodes in a time slot. Our goal is to minimize the total delay in the network under two scenarios, i.e., no energy transfer and energy transfer. Furthermore, since the optimization problem is non-convex and difficult to solve directly, by considering the network with the relatively high signal-to-interference-plus-noise ratio (SINR), the non-convex optimization problem can be transformed into a convex optimization problem by convex approximation. We attain the properties of the optimal solution by Lagrange duality and solve the convex optimization problem by the CVX solver. The experimental results demonstrate that the total delay of the energy harvesting WSNs with interference channels is more than that in the orthogonal channel; the total network delay increases with the increasing data flow for the fixed energy arrival rate; and the energy transfer can help to decrease the total delay.
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48

Li, Xiang. "On the essence of cardiopulmonary resuscitation." F1000Research 11 (May 19, 2022): 545. http://dx.doi.org/10.12688/f1000research.121825.1.

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This article discusses that the essence of cardiopulmonary resuscitation (CPR) is energy transfer. The concept of occult cardiac arrest is proposed, and cardioversion after cardiac arrest is divided into spontaneous cardioversion and CPR according to the principle of energy transfer: the internal energy transmission of the body makes the cardioversion that is known as spontaneous cardioversion, and energy is mainly transfers from the outside leads to cardioversion, that is, CPR. The concept of domain energy in CPR is proposed, and it is argued that only energy transfer beyond the domain energy can lead to cardioversion in both spontaneous cardioversion and CPR. The principle of energy transfer is used to explain the common clinical electrocardiographic phenomena: dysrhythmia can occur when the energy required for the cardiac functions is insufficient, it is a manifestation of self-protection of the heart and the body, and the mechanism is further argued. It is demonstrated that serious cardiac events, such as ventricular fibrillation and cardiac arrest, are special types of cardiac self-protection. The mechanisms, general rules, and energy properties of modern CPR energy transfer are described, and the influence and interaction of energy transfer principle on the three states of time, space, and energy transfer during CPR are assessed, which will be significant for future research on CPR.
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49

Ohk, Seung-Min, and Bum-Jin Chung. "Influence of the Geometry on the Natural Convection Heat Transfer inside a Vertical Cylinder." Journal of Energy Engineering 24, no. 1 (March 31, 2015): 97–103. http://dx.doi.org/10.5855/energy.2015.24.1.097.

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50

Pan, Hong-Yu, Chuang Sun, and Xue Chen. "Transient thermal characteristics of infrared window coupled radiative transfer subjected to high heat flux." AIMS Energy 9, no. 5 (2021): 882–98. http://dx.doi.org/10.3934/energy.2021041.

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