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Modeling the I- λ-T Characteristic for Photovoltaic Systems Storage Batteries During Charging Process

HEV: fuel cells, batteries, ultracapacitors, flywheels and engine-generators, Journal of Power Sources vol. 128, pp. 76-89, 2004. [5] Y. Hu, H. Yurkovich, Y. Guezennec, and B.J. Yurkovich, Electrothermal battery model identification for automotive applications, Journal of Power Sources vol. 196, pp. 449-457, 2001. [6] http://www.icpe.ro [7] http://www.posharp.com/tsm-230pc05-solar-panel-from-trina-solar_p1955443815d.aspx [8] http://www.sma.de/en.html [9] http://www.mathworks.com/support/index.html?s_cid=pl_support [10] H

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New Pumped Storage Plants as Renewable Energy Sources in Romania

Journal. [5] Punys P, Baublys R, Kasiulis E, Vaisvila A, Pelikan B, Steller J. Assessment of renewable electricity generation by pumped storage power plants in EU Member States. Renewable and Sustainable Energy Reviews 2013; 26: 190–200. 10.1016/j.rser.2013.05.072 [6] ISPH and ISPH Project Development documentation, www.isph.ro . [7] Rumann J. Optimization of the Operation of a Classic Weekly Cycle Pumped Storage Power Plant. Slovak Journal of Civil Engineering, 2008. [8] Popa R, Popa F, Popa B, Zachia-Zlatea D. Optimization of the weekly

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Some Constraints on the Reuse of Li-ion Batteries in Data Centers

. Omar, P. Van Den Bossche, J. Van Mierlo, Internal resistance of cells of lithium battery modules with FreedomCAR model, in Proc. EVS24, Stavanger, Norway, May 13-16, 2009. [9] V. Cimpoeru, C. Cepisca, Analysis of the state of charge of rechargeable dc sources to optimize their embedded control systems”, U.P.B. Sci. Bull., Series C, Vol. 76, Iss.1, 2014. [10] Lithium Ion Rechargeable Batteries - Technical Handbook, Sony Corporation. [Online] Available at: www.esupport.sony.com . [11] M. Kultgen, J. Munson, Battery Stack Monitor Extends Life of Li

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Choanal Atresia – A Permanent Challenge in Rhinology Pathology

Otorrinolaringol Esp. 2013;64: 389–395 10.1016/j.otorri.2013.05.001 [5] J J Ballenger, J B Snow Jr Ballenger’s Otorhinolaryngology Head and Neck Surgery, 16th edition, BC Decker, Ontario, 2003;46: 1079-1080 [6] R Wetmore, H Muntz T McGill, Pediatric Otolaryngology Principles and Practice Pathways, Second Edition, Thieme Medical Publishers, New York, 2012;25: 411, 412 [7] F J Stucker, C de Souza, G S Kenyon, T S Lian, W Draf, B Shick Rhinology and Facial plastic surgery, Springer, Leipzig, 2009;11:133, 134 [8] K M Kwong Current Updates on Choanal Atresia

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A fast method to estimate body capacitance to ground at mid frequencies

measurements, either bipolar with direct contact [ 13 ] or capacitive electrodes [ 16 ], or tetrapolar [ 10 ] warrant the interest of its measurement. Measurement method In a scenario where bipolar impedances are measured on the human body, we propose to estimate the capacitance from the body to ground by connecting a known capacitor between each electrode and the impedance analyzer. Figure 2 shows the resulting equivalent circuit. If the capacitance of the added capacitors C is small enough for its impedance to be much larger than that of the body and the

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Rectifying memristor bridge circuit realized with human skin

three times for different frequencies (0.005 Hz, 0.05 Hz and 0.5 Hz) in randomized order. The time between runs during which no voltage was applied was 4 seconds. Instrumentation A custom-built measurement system (see Fig. 1c top) was used for the recordings. A data acquisition card (DAQ) (type USB-6356 from National instruments) enabled the application of two constant voltages and simultaneous reading (both was performed with 500 samples per period). The DAQ was connected to a personal computer and controlled by a custom-made software, which was written in NI

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A new system for measuring electrical conductivity of water as a function of admittance

frequencies (0.05, 2, 20, 60 and 100 kHz) for the 2-inner electrodes system. Table (2) Calculated values of admittance and measured conductivity for different frequencies by the two-inner electrode system 2-Inner Electrodes f = 0.05 kHz f = 2 kHz f = 20 kHz f = 60 kHz f = 100 kHz Admittance (μS) Conductivity (μS/cm) Admittance (μS) Conductivity (μS/cm) Admittance (μS) Conductivity (μS/cm) Admittance (μS) Conductivity (μS/cm) Admittance (μS) Conductivity (μS/cm) Distilled Water 2.91 16.20 3.77 16.20 10.38 16

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Relating membrane potential to impedance spectroscopy

, the permittivity spectra present a clear dependency of α dispersion on the membrane potential. However, for cells with radius ~2 μm, the spectra of impedance magnitude relative to the value at 1 kHz (impedance level prior to β dispersion) reveal ( fig. 1B) very small decrements related to α dispersion, ΔZr ≤ 5×10 -3 % raising tough experimental constraints. The same challenge is related to phase variations in the α dispersion ( fig 1C) where changes Δθ ≤ 2×10 -3 degrees are emphasized. When considering suspensions of larger cells ( R 1 ~ 0.5 mm), impedance

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Estimation of body composition and water data depends on the bioelectrical impedance device

.5 (-29 to -20) -19 1 FM (kg) 14±4 5±4.4 0.07* 0.27* 8.8+5.1 (81+202.4) 7.2 to 10 (15 to 147) -1.1 19 Normal weight subjects (n=120) Bland-Altman 95% limits of agreement Data analysed BIS SFBIA ICC r Bias a (%) b 95%CI Bias c (%) d Lower Upper R (ohm) 718±99 621±97 -0.02 -0.05 97+141 (14.6+20.6) 71 to 122 (11 to 18) -180 374 Xc (ohm) 82±9.6 63±8.9 0.04 0.13 19+12 (25.8+16.9) 16 to 21 (23 to 29) -5.3 43 PA ( ₒ ) 6.6±0.8 5

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Screening post-menopausal women for bone mineral level by bioelectrical impedance spectroscopy of dominant arm

/m 2 ) Normal 21 30.76 ± 5.51 [19.82, 43.57] NS NS Osteopenia 22 29.97 ± 6.02 [16.41, 43.42] - NS Osteoporosis 5 25.25 ± 1.33 [24.03, 27.33] - - Dominant arm Characteristic Frequency (kHz) Normal 21 51.72 ± 8.57 [39.92, 69.57] NS P < 0.005 Osteopenia 22 55.91 ± 10.01 [39.96, 75,68] - NS Osteoporosis 5 65.42 ± 12.96 [57.98, 88.30] - - Total Lumbar Spine BMD (g∙cm -2 ) Normal 21 1.048 ± 0.08 [0.934, 1.259] P < 0.001 P < 0.001 Osteopenia 22 0.855 ± 0.05 [0.784, 0

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