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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.

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.

The former model, by treating magnitude of grain-scaled stresses as a fitting parameter, provides better correspondence to experimental data.
In the present work the model predictions are compared with the experimental data obtained on pearlitic steel wires [6].
The results of calculations together with experimental data for four reflections are presented in Fig. 3.
Experimental ε211 vs. sin 2ψ data [6] for specimen with dia. 0.12 mm (circles) and model predictions: thin line - full-constraint model [5], thick line - full-constraint after reduction, dashed line - simplified model [3].
Nevertheless, the difference between the predicted grain-scaled stress and the one which provides agreement with experiment data is even larger.

Isotherm data were analyzed using the Langmuir and Freundlich isotherms.
The data fitted well to Langmuir isotherm with derived adsorption capacity of 20.1 mg/g.
Kinetics data were analyzed using intra-particle model, Elovich equation, pseudo first-, and pseudo second-order models.
The kinetics data fitted well to pseudo second-order suggesting that the mechanism is the adsorption process.
The experimental data had good fit to the pseudo second-order model with adsorption rate of 61.2 x 10-4 g/mg-min.

FIR Digital Filter Design Based on Virtual Instrument Yu-jian Du1,a, Zu-bin Chen1,b ,Teng Yu1,c,Yang yang1,d 1College of Instrumentation & Electrical Engineering,Jilin University China 1344107728@qq.com Keywords:FIR Digital Filter,Virtual Instrument,MATLAB Abstract.With the information era and the advent of the digital world, digital signal processing has become extremely important in today's one of the disciplines and technical fields.Digital signal processing in seismic signal ,communications, voice, image, automatic control radar, and other fields has been widely used.In this paper,I design several kind of FIR digital filters based on virtual instrument to solve the problem that signal noise reduction.
FIR Filter implement in MATLAB In this paper, I design four kinds of filter to reach the goal of signal reduction through calling the function in MATLAB.
in MATLAB workplace.LabVIEW supply control interface to MATLAB, we can call the function in MATLAB directly.So combine Labview and MATLAB,we can use massive reliable algorithm in MATLAB and Graphics Programming in virtual instrument to develop powerful application software.In the mixed programming,we usually use LabVIEW to design graphical interface for collecting data and network communication.And use MATLAB to supply processing and analysis for Large algorithm.The result is called by LabVIEW.
the back panel,through Functions-MATLAB ScriptNods to open MATLAB script control.Second step:add MATLAB script program.There are two methods.1.Have debugged a MATLAB program in MATLAB environment.Right-click the mouse at the frame of the MATLAB script control,select "import" in the option.Introduce the MATLAB program into MATLAB script node.2.Write MATLAB program in the MATLAB script node directly.The third step:Define transfer function and data type of LabVIEW and MATLAB,connect and simulate.We must notice:The data communication between the LabVIEW8.2 and MATLAB only supports six kinds of formats of the data including Real, Complex 1-D Array of Real,1-D Array of complex,2-D the Array of Real,2-D Array of Complex,And must be selected according to the specific circumstances.MATLAB script node and its external LabVIEW block diagram program rely on the input and output of the script node to connect to, you can add the input and output in the script node shortcut menu, select and add the Input
Experimental Data We can input sine wave into the FIR Filter.And we can observe whether the wave is filtered in particular range.

Wang et al. [6] compared the accuracy of prediction by AASHTOWare Pavement ME Design and FlexPAVETM using material and field data.
Wang et al. [7] have compared the failure predictions made using FlexPAVETM with the actual field performance of numerous existing pavement sections and observed that the predictions reflected results similar to the field data.
Wang et al. [8] used field data from 39 pavement sections for the calibrations.
The prediction results using the FlexPAVETM software produced similar results to the field data.
The traffic data was taken from the example II.3, Annex II of [9].

The reduction in detail category number recommended in Eurocode 9 for aluminium butt welds on immersion in sea water appears suitable (or even marginally conservative) for the 5XXX series Al-Mg-Mn welds examined in this investigation.
The use of logarithmic scales allows the Ds-N data for a particular sample set to be presented as a straight line.
The best fit linear regression line for a given sample set was determined from the experimental data, and as shown in Fig. 3(a), very good fit was obtained for the data points measured in air and the data points measured in NaCl (indicated by high R2 values).
The introduction of a corrosive environment resulted in a further reduction in the fatigue life of 5083-H111 welds.
The reduction in detail category number recommended in Eurocode 9 for butt welds on immersion in sea water appears suitable (or even marginally conservative) for the 5XXX series aluminium welds.

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.

Phase identification was based on the PDF2 database of the International Diffraction Data Center (ICDD).
Reducibility of pellets (%) Probe Absolute reduction rate (max oxidation) Absolute reduction rate (mass loss) Fact Absolute reduction rate of initial probe 1 70.42 59.19 70.26 0.56 2 63.23 50.06 62.74 1.32 3 59.63 69.95 59.08 1.35 Reduced pellet shooting (Figure 2, a-c) was performed at room temperature (298 K) on the D8 ADVANCE diffractometer (Cu-Kα radiation, 34 V, 40 mA, position-sensitive detector VÅNTEC-1, β filter).
The data were recorded in the angle range of 5°–90° with the step of 0.021° to 2θ and exposure at the point of no less than 2963 s.
The phase composition and crystalline structure of the sample were determined from X-ray diffraction data using the DIFFRACplus software package: EVA and the ICDD PDF4 data-base.
Vyaznikova, Reduction roasting of titaniferrous ores, Defect and Diffusion Forum. 391 (2019) 215-220

Sanind Institute of Structural Macrokinetics and Materials Science, Russian Academy of Sciences, Chernogolovka, Moscow, 142432 Russia a*ade@ism.ac.ru, byukh@ism.ac.ru, cdenis-ikornikov@yandex.ru, dsvn@ism.ac.ru Keywords: combustion synthesis, centrifugal SHS, aluminothermy, calciothermic reduction, cast titanium aluminide.
For the first time is used a reduction mixture on Al/Ca base which markedly increases the yield of Ti–Al–Nb and decreases the amount of non-metallic impurities (oxygen, nitrogen, carbon) in target product.
According to XRD data, the structural constituents of the product are TiAl and Ti3Al.