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However, more distinct reduction in N2-fixing bacteria against AgNPs were detected than heterotrophic bacterial niches at least 100 ppm AgNPs .
More reduction in total N2-fixing bacterial cells than heterotrophs based on MPN method.
Under microscopic observation, Gram-negative bacteria were more likely to be disrupted than Gram positive bacteria (data not shown).
In Fig. 3, more reduction in numbers of bacterial species and rice growth compared with the control sample without AgNPs treatment.
Emtiazi, The impact of silver nanoparticles on bacterial aerobic nitrate reduction process, J.

These data are referred to as data for learning
This data is referred to as individual
One data is selected as individual, and the ordinal kriging matrixs are created from other 473 data.
( ) ( )∑== n i ii sZwsZ 1 0 (1) Where n is number of known data, si is position of known data, Z(s) is value of the data and w is a weight.
Table 2 Data for estimation Test No.

The Gaussian interaction weight was traced until the theoretical spectrum fit the μSR data.
The commonly used solution for the reduction problem is by decreasing the copper magnetic moment from neutron diffraction until the dipole field fit the μSR experiment data [24,26].
Eq. 1 will show us how much the magnetic moment of copper needs to be reduced from neutron data.
Dipole field spectrum in Fig. 2 and Fig. 3 show only values from 0 G to 1500 G as comparison with experimental data.
The effective interaction has a good agreement with neutron data magnetic moment.

Lubricated Friction Reduction by Spiral-Groove-Shape Nano-Texturing Yusuke Tanaka1,a, Kazuma Okada1, Tomoko Hirayama1,b, Takashi Matsuoka1,c, Hiroshi Sawada2, Kosuke Kawahara2 and Shunji Noguchi2 1 Doshisha University, 1-3 Miyakodani, Tatara, Kyotanabe, Kyoto 610-0394, Japan 2Canon Machinery Inc., 85 Minamiyamada-cho, Kusatsu, Shiga 525-8511, Japan adtl0395@mail4.doshisha.ac.jp, bthirayam@mail.doshisha.ac.jp, ctmatsuok@mail.doshisha.ac.jp Keywords: triibology, lubrication, friction reduction, nano-texturing, spiral-groove Abstract.
The sampling frequency was 100 Hz, and we conducted an averaging procedure on the obtained data for every ten points. 3.

This potential refers to the reduction of the investment costs and the reduction of the cycle time of the press hardening process which directly influences the unit costs of the components.
The reduction of the cycle time by one second, for example, leads to a reduction of the unit cost of 5 %.
A reduction of the contact areas by means of section points leads to a low heat transfer; in particular, because the "air gap" represents a "good" insulator.
The data base for the programming is composed of the CAD data of the tool.
Investigations about the extent of the cycle time reduction due to an optimal cooling order are currently being carried out.

This method includes least-square optimization and statistical data preprocessing approach.
Its validity is evaluated with measured and simulated data in comparison with BDJ and BTJ cases.
Statistical data preprocessing approach Eq. 1 can also be written as: Ii,Ai=1..4=Pui,Ai=1..4
The statistical data preprocessing approach was evaluated using experimental data for two-label excitation (green and red LEDs) with a constant mixture maintaining the same spectrum at two levels of optical power (28pW and 56pW).
Data projection in this signal subspace produces preprocessed data plotted in Fig. 3b, from which SNR improvements were evaluated: 5.0dB and 5.6dB for 28pW and 56pW respectively.

The tight coupling of control plane and data plane.
We refer to the separated networks as control and data network without confusion, and control and data node in each network respectively.
Data node discovers neighbors in data network and originates LSA to describe the link state it connects to.
For those data nodes whose routes will actually change, disseminate the corresponding LSAs to them, while other data node’s update is suppressed.
In our experiments, we observe that the VAR result in a 10-20ms reduction of transmission delay.

Synthesis of monodispersed lauric acid capped silver nanoparticles by wet-chemical reduction method Chunfa Donga, Xianglin Zhang*b, Chuanliang Caoc and Hao Caid State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China adongchunfa@126.com, bhust_zxl@mail.hust.edu.cn, ccaoliang1102736@126.com dchhust@hust.edu.cn, Keywords: Lauric acid; Silver nanoparticles; chemical reduction method; nanoparticles Abstract.
The results showed that monodispersed and stable nanosize silver sol can be prepared by wet-chemical reduction method and the distribution of particle size and the stability of the nano silver sol can be analyzed by UV-visible spectrophotometer.
The peaks are consistent with the data on standard card (JCPDS 04-0783) corresponding face centered cubic crystal system (FCC) elemental silver (111), (200), (220), (311), (222) crystal plane diffraction.There are no other peaks in Figure1, which indicated that the sample is high purity elemental silver .Combined with the Scherrer formula, crystallite size of each crystal face can be calculated.
TEM morphologies of nano-silver particles synthesized at different temperature: (a) 25 °C， （b) 50 °C，(c) 80 °C Conclusions (1)The uniform particle size of nano silver sol is successfully prepared by liquid chemical reduction method with the use of silver ammonium solution as the precursor, lauric acid as capping agent and hydrazine hydrate as reducing agent.

Efficient Multiscale Methods for Viscoelasticity and Fatigue of Short Fiber-Reinforced Polymers Fabian Welschinger1,a,*, Jonathan Köbler2,b, Heiko Andrä2,c, Ralf Müller3,d, Matti Schneider4,e, and Sarah Staub2,f 1Robert Bosch GmbH, Corporate Sector Research and Advance Engineering, Robert-Bosch-Campus 1, 71272 Renningen, Germany 2Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM), Fraunhofer-Platz 1, 67663 Kaiserslautern, Germany 3Technische Universität Kaiserslautern, Chair of Applied Mechanics, Postfach 3049, 67653 Kaiserslautern, Germany 4Karlsruhe Institute of Technology (KIT), Institute of Engineering Mechanics, Kaiserstraße 12, 76131 Karlsruhe, Germany afabian.welschinger@de.bosch.com, bjonathan.koebler@itwm.fraunhofer.de, cheiko.andrae@itwm.fraunhofer.de, dram@rhrk.uni-kl.de, ematti.schneider@kit.edu, fsarah.staub@itwm.fraunhofer.de Keywords: FFT-based preconditioner, viscoelasticity, fatigue, fiber orientation tensor, model order reduction, material
Afterwards, a numerical scheme based on a precomputed database trained with FeelMath simulations on the microscale and a model order reduction algorithm, is discussed.
Possible entries of the database are coefficients of closed-form effective models or coefficients derived from reduced modes when aiming at an effective modeling strategy based on a model order reduction technique.
To get information about the local orientation and configuration of the microstructure inside the macroscopic component, the user material routine has an interface to external data files containing the eigenvalues and eigenvectors of every single macroscopic element, which are typically obtained from a previously performed injection molding simulation.
Thus, a component scale model is derived bases on model order reduction techniques.

Therefore, a majority of the parameters have been modified with local Thailand data.
Therefore, a majority of the parameters have been modified with local Thailand data.
Some data are from journals and Thailand statistical records.
A summary of inventory data sources are shown in Table (2).
Table 2 Data sources for performing the WtW.