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We have synthesized two types of all-organic radical liquid crystalline (LC) compounds, trans-2-alkoxyphenyl-5-[4-(4-alkoxybenzenecarbonyloxy)phenyl]-2,5-dimethylpyrrolidine-1-oxy (1) and 4-alkoxyphenyl trans-4-[5-(4-alkoxyphenyl)-2,5-dimethylpyrrolidine-1-oxy-2-yl]benzoate (2) and have fully characterized their LC properties.
Although the only difference in the molecular structure between 1 and 2 is the orientation of a binding group connecting the core portion and one side-chain (-OCO- and -COO- for 1 and 2), the racemic or enantiomerically enriched 2 showed an SmA phase, or SmA* and TGBA* phases, which were not observed for 1, besides N and SmC, or N* and SmC* phases, respectively.
The summary of the fundamental crystal data and experimental parameters for the structure solution is given in Table 1. 23 Table 1.
Vol. 479 (2007), p. 213
Vol. 3 (1976), p. 1

Introduction Alkali-activation of slag, fly ash and other alumino-silicate materials have been intensively investigated during the last decades; see [1–3] for comprehensive reviews.
Table 1 Analysis for components.
mix w/c water cement PV powder sand AA0 0.35 197 563 0 1448 AA5 0.35 197 535 28 1448 AA10 0.35 197 507 56 1448 AA15 0.35 197 479 84 1448 AA20 0.35 197 450 113 1448 AB5 0.35 197 535 28 1448 AB10 0.35 197 507 56 1448 AB15 0.35 197 479 84 1448 AB20 0.35 197 450 113 1448 BA0 0.55 278 505 0 1389 BA5 0.55 278 480 25 1389 BA10 0.55 278 455 51 1389 BA15 0.55 278 429 76 1389 BA20 0.55 278 404 101 1389 BB5 0.55 278 480 25 1389 BB10 0.55 278 455 51 1389 BB15 0.55 278 429 76 1389 BB20 0.55 278 404 101 1389 The Slump Tests The slump test was performed to measure the workability of each freshly mixed cement mortar to list those slumps in Tables 4 and 5 respectively for 2 different of water-cement ratios.
References [1] F.
Cleaner Prod. (2006), P. 1 [9] H.

The result showed that alumina-pillared montmorillonite with 1.83nm of basal spacing exhibited a high catalytic activity for the isomerization of α-pinene, and 97.4% conversion of α-pinene was achievedat 373K for 3hwhen the mass ratio of catalyst to α-pinene was 1/10.
Fig.1 XRD patterns of alumina-pillared montmorillonite and Na-montmorillonite According to Fig.1, the basal spacing of d001 reflection is shifted from 1.28nm of the Na-montmorillonite to 1.83nm of the Al-PILM, which confirms the successful modification of Na-montmorillonite by pillaring.
Conclusions (1) Alumina-pillared montmorillonitewith an expansion of the interlayer distances of 1.83nmwas prepared by intercalation with aluminiumpolyhydroxocation as a precursor into Na-MMT layer space of 1.28nm
References [1] Breen C,Moronta A J.Clay Minerals2001,36:467-472
[6] Breen C,WatsonR.Applied Clay Science 1998,12:479-494

The measurement error in the wetting angle is 1%.
Results The obtained density polytherms are shown in Figure 1.
Density, kg/m3 Figure 1.
Table 1.
Vol. 223 (3), (2014), 469–479

Effect of Mn doping on the photocatalytic photodegradation properties of Zn1−xMnxO nanomaterials Chuanling Men 1, a, Hongqin Li 1,b and Hua Zhang 1,c 1School of energy and power engineering, University of Shanghai for Science and Technology, Shanghai 200093, China a anziloveling@yahoo.com.cn, b tianxinyu0301@163.com, c zhanghua3000@163.com Keywords: Zn1−xMnxO, sol-gel, Photocatalytic photodegradation.
Fig.1 photodecolorization of methyl orange using Zn0.82Mn0.18O as photocatalyst under UV irradiation and under solar light Results and Discussion Methyl orange was solved in water and diluted to a concentration of 3mg/L for the photocatalytic activity study.
Figure 1 illustrates the results of photodecolorization of methyl orange using Zn0.82Mn0.18O as photocatalyst under UV irradiation and under solar light.
Acknowledgement This work is supported by Innovation Program of Shanghai Municipal Education Commission (No. 09YZ219) and Doctoral Fund of Ministry of Education of China (No. 200802520006) and Shanghai Leading Academic Discipline Project (S30503) References [1] R.W.
Ouyang, Journal of Alloys and Compounds 479 (2009) p.

Table 1 Defining features of the geological structure of the Jurassic deposits.
Fig. 1 Map of the current status of development and interventions done of the YUK11 formation experimental site of the Talinsk area of the Krasnoleninsk field (as of April 1, 2007).
The duration of the technological effect has exceeded 1 year since the completion of the work (Fig. 6).
[m3/day] Specific injectivity [m3/day·atm] Specific injectivity decrease [%] max min aver initial final initial final max min aver max min aver Talinsk, YUK11 MPDC 8 411.8 25.2 186.0 493 410 459 493 338 442 18.8 4.1 78.2 Talinsk, YUK11 DSFC 9 298.9 85.6 218.2 540 345 450 480 320 398 17.5 4.7 73.1 Ershovoye, YUV1 MPDC 3 32.4 25.8 25.9 508 432 457 508 360 423 5.9 3.8 35.6 Vostochno-Surgutskoye, YUS1 DSFC 5 52.9 4.7 34.8 720 350 496 720 332 479 9.3 4.4 52.7 Vostochno-Surgutskoye, YUS 1 DSFC 5 52.9 2.95 23.0 720 350 496 720 332 479 9.3 4.4 52.7 Kinyaminskoye, YUS 11 DSFC 5 93.3 31.6 54.8 480 320 380 467 270 350 2.5 2.2 10.8 Summary and Conclusions The obtained results show that in consequence of the MPDC and DSFC chemical compositions injection, a significant decrease in the specific injectivity of injection wells occurred.
References [1] T.A.

The compositions of Al6061 alloys are shown in Table 1.
This was followed by polishing with 6 μm, 3 μm and 1 μm diamond paste.
References [1] H.C.
Basheer, Effect of fly ash addition on the physical and mechanical properties of AA6063 alloy reinforcement, Metals. 7 (2017) 477-479
Sornakumar, Development and properties of aluminium silicon alloy fly ash composites, Powder Metall. 54 (2010) 474–479

After the deformation process the alloys were annealed at the temperature range 350 – 500oC for 1 hour.
Table 1.
Figure 1.
References [1] M.
Sci. & Eng.A 481-482 (2008), 479 [3] M.

., 480-1, Takamiya, Hikone, Shiga, 522-0292, Japan a*tokuyama@screen.co.jp, bk.shinohara@screen.co.jp Keywords: Convolutional neural network, Machine learning, Wet etch.
Having a model that can predict the desired etch profile will help reduce time and resources to develop new etch conditions, Figure 1.
Figure 1: A system which finds process conditions to obtain the desired etch profile.
Therefore, multiple training datasets (14, 27, 53, 104, 185, 305, 479, and 709 training data) were prepared by extracting the conditions from each grouped cluster.
References [1] LeCun, Y., et al., Contour and Grouping in Computer Vision, Lecture Notes in Computer Science, 1681 (1999) 319-345

Introduction Liquid crystal (LCs), was a kind of phase state [1-3].
The preparative routes for the liquid crystalline compounds of trifluoromethyl substitutent were shown in Figure 1.
Figure 1.
References [1] R.
Forum Vol. 479-481 (2012), P. 2165