Image10_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image2_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.JPEG by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image14_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image11_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image3_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.JPEG by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

DataSheet1_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.docx by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image5_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image8_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image1_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image6_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image7_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image15_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image4_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.JPEG by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image13_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image9_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

Image12_Temperature dependence of dielectric properties of blood at 10 Hz–100 MHz.TIF by Weice Wang (14011341)

“…The temperature coefficient of the imaginary part was positive and bimodal from 6.31 kHz to 100 MHz, with peaks of 5.22%/°C and 4.14%/°C at 126 kHz and 39.8 MHz, respectively. Finally, a third-order function model was developed to describe the dielectric spectra at these temperatures, in which the resistivity parameter in each dispersion zone decreased linearly with temperature and each characteristic frequency increased linearly with temperature. …”

<i>AUC</i>_<i>best</i>, <i>AUC</i>_<i>adj</i> and <i>O</i> versus number of features (<i>k</i>) included in the model. by Rudolph L. Gleason Jr. (730701)

“…(b) <i>AUC</i>_<i>adj</i> − <i>k</i> curves show that as the number of features included in the model increased, the <i>AUC</i>_<i>adj</i> increased to reach a maximum value, plateaued in some cases, then decreased in models with a high number of features. …”

Dynamics of the granule cells in response to sinusoidally oscillating MF signals at 0.5 Hz. by Tadashi Yamazaki (40072)

“…The reproducibility increases towards 0.9 at the beginning of a cycle, and then linearly decreases towards 0.8, suggesting that the spike patterns of granule cells are highly reproducible across cycles.…”

Resolution in crystallographic structures is positively correlated with sequence-structure communication fidelity. by Andreas Martin Lisewski (22746)

“…<p>(A) Linearity between channel capacity <i>C</i> and sequence-structure fidelity <i>q_e⁻</i> for thirteen nested sets of structures with increasing crystallographic resolution (Supporting Information <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0003110#pone.0003110.s002" target="_blank">Table S2</a>). …”

Self-regulating pen-needle-based micronozzle for printing array of nanoliter droplets under fluorinated liquid by Muhammad Awais Maqbool (19447986)

“…Droplet volume decreased hyperbolically with robot speed (<i>w</i>) as <i>V</i> = 1613 <i>w</i>⁻¹ + 14.3 (nL, mm/s), while the number of droplets produced per minute (<i>N</i>) increased linearly with speed as <i>N</i> = 2.0 <i>w</i> + 28.5. …”