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Статті в журналах з теми "IET-devices"

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Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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1

Schmid, Simone M., Wolfgang Büscher, and Julia Steinhoff-Wagner. "PSII-9 Body core and skin temperatures in suckling piglets measured by infrared thermography and thermometry methods." Journal of Animal Science 97, Supplement_3 (December 2019): 234–35. http://dx.doi.org/10.1093/jas/skz258.477.

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Abstract Monitoring piglets’ temperatures after birth is crucial to prevent losses caused by hypothermia and ensure well-being. Rectal measuring, which is still considered the ‘gold standard’ for assessing core temperatures, takes time and requires fixation. Aim of this study was to evaluate the effectiveness of infrared thermography and thermometry in comparison to rectal temperatures. In one to seven days old piglets, rectal temperatures were measured with digital thermometers (DT) (Geratherm® GT-195-1) (n = 958), tympanic membrane temperatures with an infrared ear thermometer (IET) (ThermoScan® IRT6520) (n = 424), skin temperatures with infrared laser thermometers (ILT) (Eventek™ ET312) behind the ear (n = 671), an infrared camera (IC) (Optris® PI400) at six body locations (n≥488) or an infrared camera attachment (ICA) (FLIR ONE® for iOS) (n = 60). Devices’ reliability was tested. Correlations and differences (GLM) were estimated with SAS® 9.4. DT devices and repeated measurements showed no differences (n = 77). Repeated IET measurements at left and right ear were not different (n = 57). Temperatures decreased for ILT when measured from 10, 30, 50, and 100cm (P < 0.001; n = 360). Three ILT devices obtained different values (P < 0.001). At 10cm, means were different at left and right side (P < 0.001). For following results, the same device was used for all measurements (10cm, left). Highest correlations were found between DT and IET (r = 0.93; P < 0.001) and ILT (r = 0.81; P < 0.001). All infrared temperatures were lower (P < 0.001) than rectal temperatures (38.8°C), except IET (38.7°C). For IC, temperatures at inner thigh and lower abdomen correlated best with DT (0.59≤r≤0.62; P < 0.001). IET seems suited for assessing temperatures in piglets as it is reliable, with values comparable to DT. For IC, inner thigh and lower abdomen seem promising locations, but fixation is still required for both techniques. ILT is an option for estimating core temperatures at a short distance, but reliability needs to be considered.
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2

Kim, Youngsang, Safa G. Bahoosh, Dmytro Sysoiev, Thomas Huhn, Fabian Pauly, and Elke Scheer. "Inelastic electron tunneling spectroscopy of difurylethene-based photochromic single-molecule junctions." Beilstein Journal of Nanotechnology 8 (December 6, 2017): 2606–14. http://dx.doi.org/10.3762/bjnano.8.261.

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Diarylethene-derived molecules alter their electronic structure upon transformation between the open and closed forms of the diarylethene core, when exposed to ultraviolet (UV) or visible light. This transformation results in a significant variation of electrical conductance and vibrational properties of corresponding molecular junctions. We report here a combined experimental and theoretical analysis of charge transport through diarylethene-derived single-molecule devices, which are created using the mechanically controlled break-junction technique. Inelastic electron tunneling (IET) spectroscopy measurements performed at 4.2 K are compared with first-principles calculations in the two distinct forms of diarylethenes connected to gold electrodes. The combined approach clearly demonstrates that the IET spectra of single-molecule junctions show specific vibrational features that can be used to identify different isomeric molecular states by transport experiments.
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3

Mongkolrattanothai, Kanokporn, Leslie Stach, and Regina Orbach. "519. Multidrug-resistant Gram-Negative Bacteremia in Pediatric Patients: Is It Time to Change to Empiric Meropenem?" Open Forum Infectious Diseases 6, Supplement_2 (October 2019): S250. http://dx.doi.org/10.1093/ofid/ofz360.588.

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Abstract Background The rise of antimicrobial resistance among gram-negative (GN) pathogens has been dramatic nationally. Delayed initiation of active antimicrobial agents has been associated with poor outcomes. We aimed at evaluating the prevalence and treatment of multi-drug-resistant gram-negative (MDR-GN) bacteremia in our pediatric patients. Methods All episodes of GN bacteremia from 2017–2018 at our institution were retrospectively reviewed. GN defined as MDR in our study were carbapenem-resistant organisms (CRO), extended-spectrum β-lactamase (ESBL) producers, and GN that were resistant to cefepime and ≥2 classes of non-cephalosporin antimicrobial agents. Stenotrophomonas maltophilia was excluded. Ineffective empirical treatment (IET) is defined as an initial antibiotic regimen that is not active against the identified pathogen[s] based on in vitro susceptibility testing results. Results A total of 292 episodes of GN bacteremia were identified and 6 S. maltophilia were excluded. Of these, 29 bacteremic episodes in 26 patients were caused by MDR-GN organisms including 18 ESBL, 7 CRO, 1 ESBL and CRO, 3 non-ESBL/non-CRO cefepime-resistant MDR-GN. None of the CRO had carbapenemase genes detected. However, there was a patient with multiple sites of infection simultaneously with non-NDM CR Acinetobacter bacteremia and NDM-mediated CR-Klebsiella ventriculitis. The annual rate of MDR-GN bacteremia increased from 8% in 2017 to 12% in 2018. Almost half (48%) of episodes were community onset. Among these, all but one had underlying medical conditions with hospital exposure and most patients had central venous devices at the time of infection. 52% (15/29) episodes of MDR-GN bacteremia had IET. Despite IET, 47% (7/15) had negative blood cultures prior to initiation of effective therapy (6 ESBL and 1 P. aeruginosa). Various antibiotic regimens were used for CRO therapy as shown in Table 1. Conclusion In our institution, MDR-GN infection is increasing. As such, empiric meropenem is currently recommended in BMT or neutropenic patients with suspected sepsis. However, empiric meropenem must be used judiciously as its widely use will lead to more selection of MDR pathogens. It is essential to continue monitoring of these MDR-GN to guide appropriate empiric regimens. Disclosures All authors: No reported disclosures.
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4

Danmanee, Tanapoom, Kulit Na Nakorn, and Kultida Rojviboonchai. "CU-MAC: A Duty-Cycle MAC Protocol for Internet of Things in Wireless Sensor Networks." ECTI Transactions on Electrical Engineering, Electronics, and Communications 16, no. 2 (April 9, 2018): 30–43. http://dx.doi.org/10.37936/ecti-eec.2018162.171332.

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Nowadays “Internet of Things” or IoT becomes the most popular technology in the Internet system. Types of devices and sensors have been connected as a network of devices and sensors. While a wireless sensor network is a traditional network of sensors that can be considered as a beginning point of IoT systems. Currently, these sensor data are not only exchanged within a local network but also are delivered to other devices in the Internet. Consequently, well-known organizations such as IEEE, IETF, ITU-T and ISO/IET are trying to set standards for wireless sensor devices in IoT systems. The recommended standard utilizes many of internet stack standards such as CoAP, UDP and IP. However, the traditional design of WSNs is to avoid using internet protocol in the system to reduce transmission overhead and power consumption due to resource limitation. Fortunately, the current technology in both hardware and software allow the internet standard to sufficiently operate in a small sensor. In this paper, we propose a MAC protocol named CU-MAC to efficiently support IoT standard that need request-respond communication or bi-direction communication. CU-MAC uses multi-channel communication to perform continuous and bi-directional data transfer at low duty-cycle. It also has a mechanism to overcome the hidden terminal problem. We evaluated the performance of CU-MAC on both simulation and real testbed based on Contiki OS. The result shows that CU-MAC outperforms other existing MAC protocols in term of packet delivery ratio at 98.7% and requires lower duty-cycle than others to operate in the high traffic environment.
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5

Zhang, Li, Geng Liu, Bing Han, Zhe Wang, Yuzhou Yan, Jianbing Ma, and Pingping Wei. "Knee Joint Biomechanics in Physiological Conditions and How Pathologies Can Affect It: A Systematic Review." Applied Bionics and Biomechanics 2020 (April 4, 2020): 1–22. http://dx.doi.org/10.1155/2020/7451683.

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The knee joint, as the main lower limb motor joint, is the most vulnerable and susceptible joint. The knee injuries considerably impact the normal living ability and mental health of patients. Understanding the biomechanics of a normal and diseased knee joint is in urgent need for designing knee assistive devices and optimizing a rehabilitation exercise program. In this paper, we systematically searched electronic databases (from 2000 to November 2019) including ScienceDirect, Web of Science, PubMed, Google Scholar, and IEEE/IET Electronic Library for potentially relevant articles. After duplicates were removed and inclusion criteria applied to the titles, abstracts, and full text, 138 articles remained for review. The selected articles were divided into two groups to be analyzed. Firstly, the real movement of a normal knee joint and the normal knee biomechanics of four kinds of daily motions in the sagittal and coronal planes, which include normal walking, running, stair climbing, and sit-to-stand, were discussed and analyzed. Secondly, an overview of the current knowledge on the movement biomechanical effects of common knee musculoskeletal disorders and knee neurological disorders were provided. Finally, a discussion of the existing problems in the current studies and some recommendation for future research were presented. In general, this review reveals that there is no clear assessment about the biomechanics of normal and diseased knee joints at the current state of the art. The biomechanics properties could be significantly affected by knee musculoskeletal or neurological disorders. Deeper understanding of the biomechanics of the normal and diseased knee joint will still be an urgent need in the future.
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6

Smith, P. A., G. Dolman, T. W. Button, and M. Holker. "Ferrite helical devices." IET Microwaves, Antennas & Propagation 1, no. 4 (2007): 839. http://dx.doi.org/10.1049/iet-map:20060057.

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7

Saber, Md Ghulam, Luhua Xu, Rakibul Hasan Sagor, Yun Wang, Amar Kumar, Deng Mao, Eslam El-Fiky, et al. "Integrated polarisation handling devices." IET Optoelectronics 14, no. 3 (June 1, 2020): 109–19. http://dx.doi.org/10.1049/iet-opt.2019.0057.

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8

Trimberger, Steve. "Defect avoidance in programmable devices." IET Computers & Digital Techniques 9, no. 4 (July 2015): 188–89. http://dx.doi.org/10.1049/iet-cdt.2014.0155.

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9

Millán, J. "Wide band-gap power semiconductor devices." IET Circuits, Devices & Systems 1, no. 5 (2007): 372. http://dx.doi.org/10.1049/iet-cds:20070005.

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10

Jamal Deen, M., B. Bandyopadhyay, and Pradip Kumar Saha. "Editorial: Computers and devices for communication." IET Circuits, Devices & Systems 2, no. 1 (2008): 121. http://dx.doi.org/10.1049/iet-cds:20089002.

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11

Kwak, Ji-Young, Sunhee Yang, Kyung Hee Lee, and Seon-Tae Kim. "Service-oriented networking platform on smart devices." IET Communications 9, no. 3 (February 12, 2015): 429–39. http://dx.doi.org/10.1049/iet-com.2014.0312.

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12

Aldana-Lopez, Rodrigo, Jose Valencia-Velasco, Omar Longoria-Gandara, and Luis Pizano-Escalante. "Digital linear GFSK demodulator for IoT devices." IET Communications 12, no. 16 (October 9, 2018): 1997–2004. http://dx.doi.org/10.1049/iet-com.2018.5040.

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13

Decker, Andreas. "Solar energy harvesting for autonomous field devices." IET Wireless Sensor Systems 4, no. 1 (March 1, 2014): 1–8. http://dx.doi.org/10.1049/iet-wss.2013.0011.

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14

Schneider, Johannes, and Alexandru Caracas. "Robust speed measurements with standard wireless devices." IET Wireless Sensor Systems 7, no. 2 (April 1, 2017): 35–43. http://dx.doi.org/10.1049/iet-wss.2015.0130.

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15

Roy, S. "Editorial: Optical computing circuits, devices and systems." IET Circuits, Devices & Systems 5, no. 2 (2011): 73. http://dx.doi.org/10.1049/iet-cds.2011.9151.

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16

Karmakar, Supriya. "Simulator of semiconductor devices for multivalued logic." IET Circuits, Devices & Systems 14, no. 4 (April 30, 2020): 528–36. http://dx.doi.org/10.1049/iet-cds.2019.0415.

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17

Bucci, M., L. Giancane, R. Luzzi, M. Marino, G. Scotti, and A. Trifiletti. "Enhancing power analysis attacks against cryptographic devices." IET Circuits, Devices & Systems 2, no. 3 (2008): 298. http://dx.doi.org/10.1049/iet-cds:20070166.

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18

Zárate-Miñano, R., A. J. Conejo, and F. Milano. "OPF-based security redispatching including FACTS devices." IET Generation, Transmission & Distribution 2, no. 6 (2008): 821. http://dx.doi.org/10.1049/iet-gtd:20080064.

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19

Li, Z., and G. Gong. "HB entity authentication for low-cost pervasive devices." IET Information Security 6, no. 3 (September 1, 2012): 212–18. http://dx.doi.org/10.1049/iet-ifs.2011.0052.

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20

Chi, J., A. Fernandez, and L. Chao. "Comprehensive modelling of wave propagation in photonic devices." IET Communications 6, no. 5 (2012): 473. http://dx.doi.org/10.1049/iet-com.2011.0087.

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21

Abraham, J. K., H. Yoon, R. Chintakuntla, M. Kavdia, and V. K. Varadan. "Nanoelectronic interface for lab-on-a-chip devices." IET Nanobiotechnology 2, no. 3 (2008): 55. http://dx.doi.org/10.1049/iet-nbt:20070030.

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22

Bhellar, Benazeer, and Farooq A. Tahir. "Frequency reconfigurable antenna for hand‐held wireless devices." IET Microwaves, Antennas & Propagation 9, no. 13 (October 2015): 1412–17. http://dx.doi.org/10.1049/iet-map.2015.0199.

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23

Di Noia, Tommaso, Eugenio Di Sciascio, Francesco Maria Donini, Marina Mongiello, and Francesco Nocera. "Formal model for user‐centred adaptive mobile devices." IET Software 11, no. 4 (August 2017): 156–64. http://dx.doi.org/10.1049/iet-sen.2016.0169.

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24

Cevallos, F., Q. Yuan, X. Wang, and A. Gan. "Using personal global positioning system devices in paratransit." IET Intelligent Transport Systems 3, no. 3 (2009): 282. http://dx.doi.org/10.1049/iet-its.2008.0078.

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25

Ríos‐Sánchez, Belén, David Costa‐da Silva, Natalia Martín‐Yuste, and Carmen Sánchez‐Ávila. "Deep learning for face recognition on mobile devices." IET Biometrics 9, no. 3 (February 25, 2020): 109–17. http://dx.doi.org/10.1049/iet-bmt.2019.0093.

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26

Zou, L., and T. Larsen. "Dynamic power control circuit for implantable biomedical devices." IET Circuits, Devices & Systems 5, no. 4 (2011): 297. http://dx.doi.org/10.1049/iet-cds.2010.0330.

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27

Benda, Vitězslav. "Editorial: Construction and technology of power semiconductor devices." IET Circuits, Devices & Systems 8, no. 3 (May 2014): 153–54. http://dx.doi.org/10.1049/iet-cds.2014.0044.

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28

Canard, Sébastien, Duong-Hieu Phan, and Viet Cuong Trinh. "Attribute-based broadcast encryption scheme for lightweight devices." IET Information Security 12, no. 1 (January 1, 2018): 52–59. http://dx.doi.org/10.1049/iet-ifs.2017.0157.

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29

Chen, Ying, Ming Li, Pengpeng Chen, and Shixiong Xia. "Survey of cross-technology communication for IoT heterogeneous devices." IET Communications 13, no. 12 (July 30, 2019): 1709–20. http://dx.doi.org/10.1049/iet-com.2018.6069.

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30

Lin, Yun‐Wei, Yi‐Bing Lin, and Chun‐You Liu. "AItalk: a tutorial to implement AI as IoT devices." IET Networks 8, no. 3 (May 2019): 195–202. http://dx.doi.org/10.1049/iet-net.2018.5182.

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31

Sudhakaran, Pradeep, and Chidambaranathan Malathy. "Authorisation, attack detection and avoidance framework for IoT devices." IET Networks 9, no. 5 (September 1, 2020): 209–14. http://dx.doi.org/10.1049/iet-net.2019.0167.

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32

Shahverdiev, E. M., and K. A. Shore. "Generalised synchronisation in laser devices with electro-optical feedback." IET Optoelectronics 3, no. 6 (December 1, 2009): 274–82. http://dx.doi.org/10.1049/iet-opt.2009.0025.

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33

Selim, R., S. S. A. Obayya, and D. Pinto. "Improved design of photonic crystal-based multiplexer/demultiplexer devices." IET Optoelectronics 4, no. 4 (August 1, 2010): 165–73. http://dx.doi.org/10.1049/iet-opt.2009.0032.

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34

Kostakis, Ioannis, Daryoosh Saeedkia, and Mohamed Missous. "Efficient terahertz devices based on III–V semiconductor photoconductors." IET Optoelectronics 8, no. 2 (April 1, 2014): 33–39. http://dx.doi.org/10.1049/iet-opt.2013.0057.

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35

Martín, F., and R. W. Ziolkowski. "Editorial: Microwave metamaterials: application to devices, circuits and antennas." IET Microwaves, Antennas & Propagation 4, no. 8 (2010): 975. http://dx.doi.org/10.1049/iet-map.2010.9076.

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36

Tong, Haoping, and Wen Geyi. "Optimal design of smart antenna systems for handheld devices." IET Microwaves, Antennas & Propagation 10, no. 6 (April 2016): 617–23. http://dx.doi.org/10.1049/iet-map.2015.0339.

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37

Gonçalves, Ricardo, Nuno B. Carvalho, and Pedro Pinho. "Small antenna design for very compact devices and wearables." IET Microwaves, Antennas & Propagation 11, no. 6 (February 8, 2017): 874–79. http://dx.doi.org/10.1049/iet-map.2016.0900.

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38

Xiao, Song, Mihai Rotaru, and Jan K. Sykulski. "Correlation matrices in kriging assisted optimisation of electromagnetic devices." IET Science, Measurement & Technology 9, no. 2 (March 1, 2015): 189–96. http://dx.doi.org/10.1049/iet-smt.2014.0194.

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39

Di Barba, Paolo, Michele Forzan, Elisabetta Sieni, and Fabrizio Dughiero. "Sensitivity-based optimal shape design of induction-heating devices." IET Science, Measurement & Technology 9, no. 5 (August 1, 2015): 579–86. http://dx.doi.org/10.1049/iet-smt.2014.0227.

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40

Wang, F., Z. Liu, and X. Song. "Power-saving mechanisms for mobile devices in wireless communications." IET Communications 3, no. 2 (2009): 257. http://dx.doi.org/10.1049/iet-com:20080355.

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41

Faddis, Kelly N., James R. Matey, Jessica R. Maxey, and Jerrell T. Stracener. "Performance assessments of iris recognition in tactical biometric devices." IET Biometrics 2, no. 3 (September 2013): 107–16. http://dx.doi.org/10.1049/iet-bmt.2012.0078.

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42

Abed, Sa'ed, Bassam Jamil Mohd, and Mohammad H. Al Shayeji. "Implementation of speech feature extraction for low‐resource devices." IET Circuits, Devices & Systems 13, no. 6 (September 2019): 863–72. http://dx.doi.org/10.1049/iet-cds.2018.5225.

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43

Kong, Moufu, and Xingbi Chen. "Novel technique for lateral high‐voltage totem‐pole power devices." IET Power Electronics 7, no. 9 (September 2014): 2396–402. http://dx.doi.org/10.1049/iet-pel.2013.0561.

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44

Liu, Xiaochang, Gaofeng Wang, and Wen Ding. "Efficient circuit modelling of wireless power transfer to multiple devices." IET Power Electronics 7, no. 12 (December 2014): 3017–22. http://dx.doi.org/10.1049/iet-pel.2013.0969.

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45

Shoji, Tomoyuki, Shuichi Nishida, Kimimori Hamada, and Hiroshi Tadano. "Cosmic ray neutron‐induced single‐event burnout in power devices." IET Power Electronics 8, no. 12 (December 2015): 2315–21. http://dx.doi.org/10.1049/iet-pel.2014.0977.

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46

You, Ilsun, Jae Deok Lim, Jeong Nyeo Kim, Hyobeom Ahn, and Chang Choi. "Adaptive authentication scheme for mobile devices in proxy MIPv6 networks." IET Communications 10, no. 17 (November 24, 2016): 2319–27. http://dx.doi.org/10.1049/iet-com.2016.0480.

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47

Perez‐Gonzalez, Victor Hugo, Roberto Carlos Gallo‐Villanueva, Sergio Camacho‐Leon, Jose Isabel Gomez‐Quiñones, Jose Manuel Rodriguez‐Delgado, and Sergio Omar Martinez‐Chapa. "Emerging microfluidic devices for cancer cells/biomarkers manipulation and detection." IET Nanobiotechnology 10, no. 5 (October 2016): 263–75. http://dx.doi.org/10.1049/iet-nbt.2015.0060.

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48

Garduño-Nolasco, Edson, Peter J. Carrington, Mohamed Missous, and Anthony Krier. "Characterisation of InAs/GaAs quantum dots intermediate band photovoltaic devices." IET Optoelectronics 8, no. 2 (April 1, 2014): 71–75. http://dx.doi.org/10.1049/iet-opt.2013.0056.

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Bo, Xi Chao, Jian Feng Zhang, Hao Lin Jiang, and Tie Jun Cui. "WBPAT for FDTD simulation of microwave devices with homogeneous waveport." IET Microwaves, Antennas & Propagation 13, no. 2 (January 8, 2019): 239–45. http://dx.doi.org/10.1049/iet-map.2018.5274.

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