Data_Sheet_1_2-Hydroxy-4-(Methylthio) Butanoic Acid Isopropyl Ester Supplementation Altered Ruminal and Cecal Bacterial Composition and Improved Growth Performance of Finishing Bee... by Xiaoli Qin (30441)

“…The concentrations of ammonia–nitrogen (NH₃-N), propionate, isobutyrate, butyrate, isovalerate, valerate, and total volatile fatty acid (VFA) were linearly decreased in the cecum (P < 0.05). The results of Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) showed that the abundance of most pathways with a significant difference was higher in the rumen and lower in the cecum in the H₃₀ group compared to the H₀ group, and those pathways were mainly related to the metabolism of amino acids, carbohydrates, and lipids. …”

Theoretical predictions: Fano factor constancy of synaptic conductances. by Rubén Moreno-Bote (562116)

“…The FF of the synaptic conductances for a network without probabilistic synapses is lower than in the previous case and strongly decreases with firing rate (dashed lines). …”

Restoring normal stepping from steady state (standing still). by Tibor Istvan Toth (482706)

“…The recruitment plays a crucial part in the restoration process. In case A, the recruitment of the fast fibres occurs very fast (instantaneously), while in the cases B and C, it does so linearly over a time interval of 3 s. …”

Local supersaturation and the growth of protective scales during CO2 corrosion of steel: Effect of pH and solution flow by Sk, Mobbassar Hassan

“…We show that siderite is the first crystalline product and that chukanovite follows, with a delay time that decreases with increasing pH. …”
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Photonic Rubber Sheets with Tunable Color by Elastic Deformation by Hiroshi Fudouzi (2653102)

“…For example, the peak of reflection was tuned from 589 to 563 nm as a function of sheet elongation. The peak position decreased linearly with deformation when the deformation was within 20% of its elongation. …”

Soil properties and cowpea yield after six years of consecutive amendment of composted tannery sludge by Ademir Sergio Ferreira de Araújo (10442058)

“…The soil bulk density decreased linearly while the aggregate stability index increased after compost amendment. …”

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. …”