Wine samples were obtained from LB42708 local store. For previous studies “Viña Albali” and “Prada” red wines and “Antonio Barbadillo” white wine were used. For wine analysis and correlation study, nine red wines and five white wines were used. Red wines: Red 1: Gibalbin, Red 2: Cariñena joven, Red 3: Cariñena Crianza, Red 4: Cariñena Reserva, Red 5: Dominio de la Fuente Joven, Red 6: Dominio de la Fuente Crianza, Red 7: Dominio de la Fuente Reserva, Red 8: Organic Piedra Luenga and Red 9: Organic Matalagrana. White wines: White 1: Verdejol, White 2: El Coto, White 3: Estero, White 4: Señorío de Ojailen and White 5: Organic Piedra Luenga. They were selected taking into account their different geographical origin, grape variety, type of soil and different cultivation techniques. Inside the group of the red wines two series of the same trademark with different aged time in oak cask and bottle were selected. Each group includes a young (not aged) wine, an aged wine “crianza” (at least 24 months in oak cask) and an aged wine “reserva” (at least 36 months in oak cast).
With optical fiber fault becoming increasingly far from OLT, detection signal attenuation will increase, resulting in gradually decrease of margin of autocorrelation output by decoder related to reflection pulse processing module. Schematic block diagram of traditional optical receiver in Fig. 4 CCG-63808 as shown in Fig. 5. Optical detector transforms optical signal into electric signal, which is amplified by trans-impedance amplifier (TIA) ,  and  and limiting amplifier (LA) to realize continuous output; automatic gain control circuit (AGC) is used to stabilize output signal amplitude of limiting amplifier, while the clock and data recovery circuit (CDR) may extract clock from limiting amplifier to recover the data. For continuous optical signal, clock recovery may be realized with phase-locked loop ,  and . Owing to progress made in optical device packaging technology as well as the emerging of driver integrated circuit and amplification integrated circuit, modularization has been realized, e.g. packaging with 1 × 9, SFF, GBIC and etc. We adopt a 1 × 9 optical receiver module with speed of 622 Mb/s for the experiment; wherein, the analog signal is the signal with pulse width of 2 ns sent by pulse pattern generator (PPG), the digital signal source, and the light source is DFB laser. According to the experimental result, when branching ratio of the sent signal is 1:16, correct signal may be received with relative time scheme. However, if such branching ratio is as large as 1:64, signal received with this scheme will present obvious degradation. And if such branching ratio is as large as 1:128, signal received with this scheme will present obvious and severe degradation, even with signal to noise ration less than 1.5, which indicates that the scheme has been incapable of receiving correct optical signal under large branching ratio. The experimental result is as shown in Fig. 2. According to experiment on traditional signal receiving scheme, signal with large branching ratio cannot be received, i.e. signal with small margin of autocorrelation. Therefore, to realize real identification with optical orthogonal code, the problem of signal receiving with small margin of autocorrelation must be solved.
Transport of ENPs in soils has been often studied in column experiments under saturated flow conditions using either coarse-textured, homogeneous, artificial porous media (Tian et al., 2010 and Ben-Moshe et al., 2010) or natural soils (Cornelis et al., 2013). A recent study by Liang et al. (2013) on the transport of AgENPs used columns packed with loamy sand PR619 under unsaturated conditions reported that the mobility of AgENPs in soils can be overestimated when applying artificially high input flow rates of AgENPs.
Hence, further studies are necessary to fully understand the fate of the various ENPs in soils under undisturbed and natural flow conditions, to properly describe the interactions of AgENPs and AuENPs with natural soil colloids and to determine the effects of these interactions on ENPs availability in soils (Sagee et al., 2012 and Cornelis et al., 2014).
The main objective of sarcomeres study was to quantify the soil–pore water distribution of Ag and AuENPs after addition to soils under environmentally relevant conditions, i.e. aerated soils and to infer on their potential mobility. Pot experiments with agricultural soils were performed to identify the degree to which ENPs added to aerated soils remain chemically available. Agricultural soils were used since the regular application of biosolids is likely to result in the preferential accumulation of metal-based ENPs in agricultural areas (Gardea-Torresdey et al., 2014). Finally the results of this study were evaluated in view of implications for risk assessment.
Using Eq. (22) and substituting the Zeldovich relation for the speed of the ignition front and the turbulent Damköhler number in the same manner as discussed in Section 2.2.1, the Sankaran criterion is found to beequation(26)Dat=TT2A5PrγβYFexpAββ+1.Hence, the Sankaran criterion is independent to the Reynolds number. However, additional dependence on the chemical kinetics beyond that ASC-J9 encapsulated by the turbulent Damköhler number appears in explicit form via the Arrhenius factor. This indicates a potential difficulty with the regime demarcation in the region of negative temperature coefficient (NTC) for a given fuel. As the Arrhenius factor becomes less in the NTC region, the critical Damköhler number for mild ignition correspondingly lessens and potentially becomes negative. A negative Damköhler limit implies that mild ignition could occur from cold-spots; however in these cases, non-ideal ignition is more likely to occur within the thermal boundary layer. Hence, initiation codon (AUG) demarcation should be viewed as a conservative estimate of where fuels show evidence of non-ideal ignition. Additionally, a compositional dependence is shown by the fuel mass fraction; however, for narrow ranges of equivalence ratio for a given fuel, this factor is not expected to appreciably affect the demarcation. The boundary given by Eq. (26) is shown in Fig. 2 and separates mild and mixed regimes.
4.2. Variable measurements
4.2.1. Independent variable: SERVPERF measures
To ascertain construct reliability and validity of Siponimod independent variable (SERVPERF dimension), 22 items were adapted from past studies shown in Table 2. A 7-point Likert scale was employed to measure the level of agreement for every item starting from strongly disagree (1) to strongly agree (7).
Sources of adapted constructs.ConstructsNumber of itemsSourcesTangibles (TA)4Kumar et al., 2010 and Parasuraman et al., 1991cReliability (RL)5Kumar et al., reptiles 2010 and Parasuraman et al., 1991cResponsiveness (RP)4Kumar et al., 2010 and Parasuraman et al., 1991cAssurance (AS)4Kumar et al., 2010 and Parasuraman et al., 1991cEmpathy (EM)5Kumar et al., 2010 and Parasuraman et al., 1991cCustomer satisfaction (CS)3Olorunniwo and Hsu, 2006 and Parasuraman et al., 1991bCustomer loyalty (CL)4Ismail, Haron, Ibrahim, and Mohd Isa (2006) and Parasuraman et al. (1991b)Full-size tableTable optionsView in workspaceDownload as CSV
Transmission TNKS 22 microscopy (TEM) micrographs were obtained with a transmission electron microscope (TEM, HITACHI H-800, Japan). Scanning electron microscopy (SEM) micrographs were obtained with a field-emission scanning electron microscope (SEM, Hitachi S-4800, Japan). The thermogravimetric (TG) analysis was carried out with a STA 409/PC simultaneous thermal analyzer (Netzsch, Germany) at a heating rate of 10 °C min−1 in a flowing air. Fourier transform infrared (FTIR) spectra were collected on a FTIR spectrometer (FTIR-7600, Lamdba Scientific, Australia). X-ray powder diffraction (XRD) patterns were recorded using an X-ray diffractometer (Rigaku D/max 2500 V, Cu Kα radiation, λ=1.54178 Å).
3. Results and discussion
The crystal phases of the products prepared using 0.400 g of casein sodium salt, 0.222 g of CaCl2 and 0.220 g of Na2ATP by the hydrothermal method at 120 °C for various hydrothermal times were characterized by XRD, as shown in Fig. 1. The product obtained by the hydrothermal method at 120 °C for 2 h is amorphous. When the hydrothermal time increases to 12 h or up to one week, the product contains hydroxyapatite (HAP). The experimental results indicate peristalsis the crystal phase of the product can be controlled by adjusting the hydrothermal time.