bluuebunny/crossref_metadata_2025 huggingface dataset:
Crystal structure of potassium bismuth hexathiodiphosphate, KBiP2S6
Authors: Manriquez V. , Galdámez A. , León D. RUIZ , Garland M. T. , Jiménez M.
Published: September 2014

BiKP2S6, monoclinic, P1211 (No. 4), a = 6.6200(6) Å, b = 7.4058(7) Å, c = 9.9002(9) Å, β = 92.108(1)°, V = 485.0Å3, Z = 2, Rgt(F) = 0.027, wRref(F2) = 0.060, T = 293 K.
Crystal structure of erbium vanadium tantal boride, Er(V0.77Ta0.23)VB6
Authors: Kuz’ma Yu. B. , Prots Yu. , Grin Yu.
Published: September 2014

B6ErTa0.23V1.77, orthorhombic, Pbam (No. 55), a = 11.280(2) Å, b = 8.940(2) Å, c = 3.390(1) Å, V = 341.9 Å3, Z = 4, Rgt(F) = 0.034, wRobs(F) = 0.034, T = 293 K.
Crystal structure of aqua-bis(4-nitrobenzoato)disilver(I), Ag2(C7H4NO4)2(H2O)
Authors: Zhu H.-L. , Zhang X.-M. , Yu Q. , Wang D.-Q.
Published: September 2014

C14H10Ag2N2O9, monoclinic, C12/c1 (No. 15), a = 21.164(6) Å, b = 6.451(2) Å, c = 12.219(4) Å, β = 104.646(4)°, V = 1614.1 Å3, Z = 4, Rgt(F) = 0.035, wRref(F2) = 0.074, T = 298 K.
Crystal structure of lithium cadmium diaqua catena-[monoborodiphosphate]- monohydrate, LiCd(H2O)2[BP2O8] · H2O
Authors: Ge M.-H. , Mi J.-X. , Huang Y.-X. , Zhao J.-T. , Kniep R.
Published: September 2014

BCdH6LiO11P2, hexagonal, P65 (No. 170), a = 9.7111(6) , c = 16.012(1) Å, V = 1307.7 Å3, Z = 6, Rgt(F) = 0.055, wRref(F2) = 0.126, T = 293 K.
Crystal structure of sodium alumosilicate cyanide, Na8[AlSiO4]6(CN)2
Authors: Gesing Th. M. , Buhl J.-Ch.
Published: September 2014

Al6C2N2Na8O24Si6, cubic, P4̅3n (No. 218), a = 8.9192(1) Å, V = 709.5 Å3, Z = 1, R(P) = 0.036, R(I) = 0.020, T = 293 K.
Crystal structure of digadolinium(III) oxide disulfide, Gd2OS2
Authors: Wontcheu J. , Schleid Th.
Published: September 2014

Gd2OS2, monoclinic, P121/c1 (No. 14), a = 8.3365(6) Å, b = 6.9872(5) Å, c = 6.9231(5) Å, β = 99.463(6)°, V = 397.8Å3, Z = 4, Rgt(F) = 0.022, wRref(F2) = 0.047, T = 293 K.
Crystal structure of pentacaesium hexacosatelluridopentazirconate, Cs5Zr5Te26, a new polyanionic chalcogenometalate
Authors: Harringer N. A. , Klepp K. O.
Published: September 2014

Cs5Te26Zr5, monoclinic, P121/c1 (No. 14), a = 19.39(2) Å, b = 9.548(2) Å, c = 28.06(5) Å, β = 98.51(5)°, V = 5137.7 Å3, Z = 4, Rgt(F) = 0.045, wRref(F) = 0.047, T = 294 K.
Crystal structure of 4-di(2-pyridinoamino)methylbenzaldehyde, C18H16N4O
Authors: Zhu H.-L. , Liu Q.-X. , Usman A. , Fun H.-K.
Published: September 2014

C18H16N4O, monoclinic, P121/c1 (No. 14), a = 10.7420(6) Å, b = 12.7228(7)Å, c = 11.8769(7)Å, β = 105.495(1)°, V = 1564.2Å3, Z = 4, Rgt(F) = 0.045, wRref(F2) = 0.125, T = 298 K.
Crystal structure of 5,19-bis(acetyloxy)-13-deoxy-10-deoxy-20- (ethylthio)-2,20-dihydro-(2α,5β,19R)-enmein, C28H38O10S
Authors: Guo Y.-W. , Yu J.-L. , Sun J.
Published: September 2014

C28H38O10S, orthorhombic, P212121 (No. 19), a = 9.1243(6) Å, b = 9.3896(7) Å, c = 33.962(2) Å, V = 2909.6 Å3, Z = 4, Rgt(F) = 0.058, wRref(F2) = 0.149, T = 293 K.
Crystal structure of 1,1,5,5-tetramethyl-1,2,5,6-tetrahydro-3a,4,7a,8-tetraaza- s-indacene-3,7-dione, C12H16N4O2
Authors: Mrozek A. , Karolak-Wojciechowska J. , Wejroch K. , Lange J.
Published: September 2014

C12H16N4O2, monoclinic, P121/c1 (No. 14), a = 9.306(2) Å, b = 5.755(1) Å, c = 11.499(2) Å, β = 98.15(3)°, V = 609.6 Å3, Z = 2, Rgt(F) = 0.045, wRref(F2) = 0.075, T = 294 K.
Crystal structure of 4,4'-bipyridin-1-ium bi(trihydrogen- 1,2,4,5-benzenetetracarboxylate), C30H20N2O16
Authors: Zhu N.-W. , Zhang R.-Q. , Sun T.-H.
Published: September 2014

C30H20N2O16, monoclinic, C12/c1 (No. 15), a = 12.021(6) Å, b = 15.469(7) Å, c = 15.436(7) Å, β = 110.806(7)°, V = 2683.2Å3, Z = 4, Rgt(F) = 0.063, wRref(F2) = 0.143, T = 298 K.
Crystal structure of di-μ2-benzoato-di-[tris(pyrazolyl)methane-aquamanganese( II)] benzoate, C24H22N6MnO5
Authors: Moubaraki B. , Murray K. S. , Tiekink E. R. T.
Published: September 2014

C24H22MnO5N6, triclinic, P1̅ (No. 2), a = 11.126(1) Å, b = 12.953(1) Å, c = 9.0895(9) Å, α = 109.241(8)°, β = 102.835(8)°, ϒ = 71.273(8)°, V = 1161.3 Å3, Z = 2, Rgt(F) = 0.042, wRref(F2) = 0.136, T = 293 K.
Crystal structure of di(3,5-dinitrobenzoato-O,O')tetra(μ-3,5- dinitrobenzoato-O,O') di(1,10-phenanthroline-N,N')dieuropium(III), Eu2(C7H3N2O6)6(C12H8N2)2
Authors: Hu M.-L. , Li X.-H. , Xiao H.-P.
Published: September 2014

C66H34Eu2N16O36, monoclinic, P121/n1 (No. 14), a = 11.889(2) Å, b = 22.660(4) Å, c = 13.491(2) Å, β = 101.710(2)°, V = 3558.9Å3, Z = 2, Rgt(F) = 0.029, wRref(F2) = 0.064, T = 293 K.
Crystal structure of manganese gallium germanium silicon oxide (garnet type), Mn3(Ga2–yMny)(Ge3–zSiz)O12 (y = 0.6, z = 0.14; y = 0.44, z = 0), and of manganese gallium germanium silicon oxide (braunite type), Mn(Mn6–yGay)(Si1–zGez)O12 (y = 0.7, z = 0.4)
Authors: Wartchow R. , Müller L. , Binnewies M.
Published: September 2014

Ga1.4Ge2.86Mn3.6O12Si0.14 (1), cubic, Ia3̅d (No. 230), a = 12.043(3) Å, V = 1746.6 Å3, Z = 8, Rgt(F) = 0.028, wRref(F2) = 0.062, T = 300 K.

Ga1.56Ge3Mn3.44O12 (2), cubic, Ia3̅d (No. 230), a = 12.049(3) Å, V = 1749.3 Å3, Z = 8, Rgt(F) = 0.023, wRref(F2) = 0.052, T = 300 K.

Ga0.7Ge0.4Mn6.3O12Si0.6 (3), tetragonal, I41/acd (No. 142), a = 9.464(4) Å, c = 18.78(3) Å, V = 1682.1 Å3, Z = 8, Rgt(F) = 0.023, wRref(F2) = 0.053, T = 300 K.
Crystal structure of tetrarubidium hexathiodigermananate(IV), Rb4Ge2S6
Authors: Preishuber-Pflügl H. , Klepp K. O.
Published: September 2014

Ge2Rb4S6, monoclinic, C12/m1 (No. 12), a = 13.43(5) Å, b = 6.898(3) Å, c = 11.15(3) Å, β = 135.06(9)°, V = 729.7 Å3, Z = 2, Rgt(F) = 0.043, wRref(F) = 0.052, T = 296 K.
Crystal structure of potassium antimony hexathiodiphosphate, KSbP2S6
Authors: Manriquez V. , Galdámez A. , León D. Ruiz , Garland M. T.
Published: September 2014

KSbP2S6, monoclinic, P1211 (No. 4), a = 6.605(1) Å, b = 7.651(2) Å, c = 9.754(2) Å, β = 92.11(3)°, V = 492.6 Å3, Z = 2, Rgt(F) = 0.018, wRref(F2) = 0.044, T = 293 K.
Crystal structure of Tutton’s salts, Cs2[MII(H2O)6](SeO4)2, MII = Mg, Mn, Co, Ni, Zn
Authors: Euler H. , Barbier B. , Meents A. , Kirfel A.
Published: September 2014

Cs2H12MgO14Se2, monoclinic, P121/a1 (No. 14), a = 9.513(1) Å, b = 13.037(1) Å, c = 6.4730(8) Å, β = 106.244(8)°, V = 770.7 Å3, Z = 2, Rgt(F) = 0.020, wRref(F2) = 0.036, T = 293 K.

Cs2H12MnO14Se2, monoclinic, P121/a1 (No. 14), a = 9.591(1) Å, b = 13.141(2) Å, c = 6.5040(9) Å, β = 106.38(1)°, V = 786.5 Å3, Z = 2, Rgt(F) = 0.021, wRref(F2) = 0.043, T = 293 K.

CoCs2H12O14Se2, monoclinic, P121/a1 (No. 14), a = 9.494(1)Å, b = 13.009(1) Å, c = 6.4833(8) Å, β = 106.239(9)°, V = 768.8 Å3, Z = 2, Rgt(F) = 0.016, wRref(F2) = 0.032, T = 293 K.

Cs2H12NiO14Se2, monoclinic, P121/a1 (No. 14), a = 9.426(3)Å, b = 12.961(2) Å, c = 6.473(2) Å, β = 106.17(2)°, V = 759.5 Å3, Z = 2, Rgt(F) = 0.017, wRref(F2) = 0.034, T = 293 K.

Cs2H12O14Se2Zn, monoclinic, P121/a1 (No. 14), a = 9.483(1) Å, b = 13.005(2) Å, c = 6.4850(8) Å, β = 106.16(1)°, V = 768.2 Å3, Z = 2, Rgt(F) = 0.019, wRref(F2) = 0.037, T = 293 K.
Crystal structure of Tutton’s salts, Cs2[MII(H2O)6](SO4)2, MII = Mg, Mn, Fe, Co, Ni, Zn
Authors: Euler H. , Barbier B. , Meents A. , Kirfel A.
Published: September 2014

Cs2H12MgO14S2, monoclinic, P121/a1 (No. 14), a = 9.338(2) Å, b = 12.849(4) Å, c = 6.361(2) Å, β = 107.07(2)°, V = 729.6 Å3, Z = 2, Rgt(F) = 0.017, wRref(F2) = 0.041, T = 293 K.

Cs2H12MnO14S2, monoclinic, P121/a1 (No. 14), a = 9.418(3) Å, b = 12.963(2) Å, c = 6.386(3) Å, β = 107.17(4)°, V = 744.9 Å3, Z = 2, Rgt(F) = 0.017, wRref(F2) = 0.030, T = 293 K.

Cs2FeO14H12S2, monoclinic, P121/a1 (No. 14), a = 9.357(2) Å, b = 12.886(2) Å, c = 6.381(1) Å, β = 106.94(1)°, V = 736.0 Å3, Z = 2, Rgt(F) = 0.015, wRref(F2) = 0.030, T = 293 K.

CoCs2H12O14S2, monoclinic, P121/a1 (No. 14), a = 9.318(1) Å, b = 12.826(3) Å, c = 6.3650(9) Å, β = 107.13(1)°, V = 727.0 Å3, Z = 2, Rgt(F) = 0.021, wRref(F2) = 0.049, T = 293 K.

Cs2H12NiO14S2, monoclinic, P121/a1 (No. 14), a = 9.259(2) Å, b = 12.767(2) Å, c = 6.358(1) Å, β = 107.00(2)°, V = 718.7 Å3, Z = 2, Rgt(F) = 0.014, wRref(F2) = 0.027, T = 293 K.

Cs2H12O14S2Zn, monoclinic, P121/a1 (No. 14), a = 9.314(2) Å, b = 12.817(2) Å, c = 6.369(2) Å, β = 106.94(2)°, V = 727.3 Å3, Z = 2, Rgt(F) = 0.015, wRref(F2) = 0.033, T = 293 K.
Crystal structure of lanthanum borocarbide, La5B4C5–x (x = 0.15)
Authors: Mattausch Hj. , Babizhetskyy V. , Simon A.
Published: September 2014

B8C9.71La10, orthorhombic, Pna21 (No. 33), a = 24.657(1) Å, b = 8.6051(5) Å, c = 8.6540(7) Å, V = 1836.2 Å3, Z = 4, Rgt(F) = 0.039, wRref(F2) = 0.106, T = 293 K.
Crystal structure of 9-benzyl-6-ethoxy-7-ethyl-2-phenyl-7,9- dihydropurin-8-one, C22H22N4O2
Authors: Euler H. , Kirfel A. , Bauer A. , Müller C. E.
Published: September 2014

C22H22N4O2, monoclinic, C12/c1 (No. 15), a = 22.44(1) Å, b = 7.878(2) Å, c = 23.295(6) Å, β = 97.75(3)°, V = 4080.9 Å3, Z = 8, Rgt(F) = 0.045, wRref(F2) = 0.131, T = 295 K.
Crystal structure of (2-picoloylcarbonyl)thiosemicarbazone, C7H10N4O2S
Authors: Wu W.-S. , Feng Y.-L.
Published: September 2014

C7H10N4O2S, orthorhombic, Pbca (No. 61), a = 12.1705(9) Å, b = 7.421(2) Å, c = 22.7584(5) Å, V = 2055.3 Å3, Z = 8, Rgt(F) = 0.033, wRref(F2) = 0.075, T = 293 K.
Crystal structure of tris(nitrato-O,O′)bis(1,10-phenanthroline-N,N′)- cerium(III), Ce(NO3)3(C12H8N2)2
Authors: Lin Q.-Y. , Feng Y.-L.
Published: September 2014

C24H16CeN7O9, monoclinic, C12/c1 (No. 15), a = 11.162(2) Å, b = 18.070(4) Å, c = 13.102(3) Å, β = 100.56(3)°, V = 2597.9 Å3, Z = 4, Rgt(F) = 0.021, wRref(F2) = 0.056, T = 293 K.
Crystal structure of diaqua-monodimethylglycine-hexakis(μ2-dimethylglycine- O:O)-μ3-oxo-triiron(III) heptanitrate—water—dimethylgycine solvate (1:4:0.63), Fe3O(C4H9NO2)7(H2O)2(NO3)7 · 4H2O · 0.63C4H9NO2
Authors: Ramos Silva M. , Matos Beja A. , Paixão J. A. , Martin-Gil J.
Published: September 2014

C30.20H80.60Fe3N14.30O43.26, triclinic, P1̅ (No. 2), a = 12.424(6) Å, b = 16.565(5) Å, c = 17.627(3) Å, α = 90.59(4)°, β = 101.48(4)°, γ = 108.97(4)°, V = 3351.1 Å3, Z = 2, Rgt(F) = 0.070, wRref(F2) = 0.261, T = 293 K.
Crystal structure of imidazolium decanedioate, C18H31N2O6
Authors: Garbarczyk J. , Pogorzelec-Glaser K.
Published: September 2014

C18H31N2O6, triclinic, P1̅(No. 2), a = 8.8249(8) Å, b = 8.992(2) Å, c = 12.897(2) Å, α = 95.22(1)°, β = 92.91(1)°, γ = 94.62(1)°, V = 1014.1 Å3, Z = 2, Rgt(F) = 0.042, wRref(F2) = 0.124, T = 293 K.
Crystal structure of tetraguanidinium dioxo-tetraperoxo-μ-tartratodimolybdate(VI) dihydrate, (CN3H6)4[Mo2O2(O2)4(C4H2O6)] · 2H2O
Authors: Tinant B. , Bayot D. , Devillers M.
Published: September 2014

C16H60Mo4N24O36, orthorhombic, Pna21 (No. 33), a = 29.387(9) Å, b = 9.979(3) Å, c = 19.062(5) Å, V = 5590.0 Å3, Z = 4, Rgt(F) = 0.094, wRref(F2) = 0.264, T = 293 K.
Crystal structure of sodium caesium tetrahydrogen-tetraborate tetrahydrate, NaCs[B4O5(OH)4] · 4H2O
Authors: Zhou J.-G. , ZhaoI F.-Y. , Xia S.-P. , Yang L. , Lu Y. , Wang J.-J. , Gao S.-Y.
Published: September 2014

B4CsH12NaO13, monoclinic, P121/c1 (no. 14), a = 8.240(1) Å, b = 11.493(1) Å, c = 12.900(2) Å, β = 92.11(1)°, V = 1220.8 Å3, Z = 4, Rgt(F) = 0.023, wRref(F2) = 0.056, T = 296 K.
Crystal structure of 1,10-phenanthrolinecopper(II) bis(dihydrogen-1,3,5- benzenetricarboxylate), Cu(C12H8N2)(C9H5O6)2
Authors: Hu M.-L. , Shi Q. , Xiao H.-P. , Chen F.
Published: September 2014

C30H18CuN2O12, monoclinic, C12/c1 (no. 15), a = 9.9829(8) Å, b = 15.605(1) Å, c = 16.967(1) Å, β = 97.154(1)°, V = 2622.4 Å3, Z = 4, Rgt(F) = 0.028, wRref(F2) = 0.082, T = 273 K.
Crystal structure of bis[triaqua(2,2-bipyridine)cobalt(II)] 1,2,4,5-benzenetetracarboxylate dihydrate, [Co2(C10H8N2)2(H2O)6(C10H2O8)] · 2H2O
Authors: Hu M.-L. , Ye M.-D. , Xiao H.-P. , Yuan J.-X.
Published: September 2014

C30H34Co2N4O16, monoclinic, P121/n1 (no. 14), a = 12.286(1) Å, b = 7.5947(7) Å, c = 17.925(2) Å, β = 100.007(2)°, V = 1647.1 Å3, Z = 2, Rgt(F) = 0.025, wRref(F2) = 0.064, T = 273 K.
Crystal structure of chlorido(phenylselenolato)bis(triphenylphosphine)- platinum(II) –benzene (1:1), Pt(C6H5Se)(C18H15P)2Cl · C6H6
Authors: Hannu-Kuure M.S. , Oilunkaniemi R. , Laitinen R. S. , Ahlgren M.
Published: September 2014

C48H41ClP2PtSe, triclinic, P1̅(no. 2), a = 10.1598(2) Å, b = 13.8660(5) Å, c = 14.7308(3) Å, α = 79.595(1)°, β = 86.006(2)°, γ = 87.997(2)°, V = 2035.6 Å3, Z = 2, Rgt(F) = 0.029, wRref(F2) = 0.070, T = 150 K.
Crystal structure of a mixed dicalcium ferrite, Ca2Fe1.66V0.34O5
Authors: Harringer N. A. , Presslinger H. , Klepp K. O.
Published: September 2014

Ca2Fe1.66O5V0.34, orthorhombic, Pnma (no. 62), a = 5.4171(6) Å, b = 14.774(4) Å, c = 5.584(2) Å, V = 446.9 Å3, Z = 4, Rgt(F) = 0.032, wRref(F) = 0.037, T = 294 K.
Crystal structure of (2RS,4SR,4aSR)-1-acetyl-2-(1-methylethyl)-4-hydroxy- 4-methyl-1,2,3,4,4a,7-hexahydroquinoline, C15H22NO2
Authors: Gross S. , Brüdgam I. , Hartl H. , Reißig H.-U.
Published: September 2014

C15H22NO2, monoclinic, P121/c1 (no. 14), a = 9.644(1) Å, b = 8.750(1) Å, c = 16.666(2) Å, β = 103.733(2)°, V = 1366.1 Å3, Z = 4, Rgt(F) = 0.046, wRref(F2) = 0.146, T = 153 K.
Crystal structure of (μ2-1,4-cyclohexanedicarboxylato)(1,10-phenanthroline)- copper(II) monohydrate, Cu(C12H8N2)(C8H10O4) · H2O
Authors: Ma A.-Q. , Yu M.-X. , Zhu L.-G.
Published: September 2014

C20H20CuN2O5, monoclinic, P121/c1 (no. 14), a = 8.965(3) Å, b = 19.797(7) Å, c = 10.440(4) Å, β = 101.780(6)°, V = 1813.9 Å3, Z = 4, Rgt(F) = 0.054, wRref(F2) = 0.109, T = 293 K.
Crystal structure of trithallium-pentabromopalladate(II), Tl3PdBr5
Authors: Heines P. , Duchâteau M. , Keller H.-L.
Published: September 2014

Br5PdTl3, orthorhombic, Pbca (no. 61), a = 7.823(2) Å, b = 16.812(3) Å, c = 17.299(3) Å, V = 2275.1 Å3, Z = 8, Rgt(F) = 0.045, wRref(F2) = 0.057, T = 293 K.
Crystal structure of (O-ethyldithiocarbonato)(triphenylphosphine)gold(I), (C6H5)3PAu(S2COC4H9)
Authors: Ho S. Y. , Tiekink E. R. T.
Published: September 2014

C23H24AuOPS2, monoclinic, C12/c1 (no. 15), a = 23.581(1) Å, b = 13.7153(8) Å, c = 17.182(1) Å, β = 125.554(1)°, V = 4521.2 Å3, Z = 8, Rgt(F) = 0.026, wRref(F2) = 0.062, T = 183 K.
Crystal structure of aquabis(4-methyl-5-formyl-imidazolfuranoylhydrazone)- (trinitrato)praseodymium(III) monohydrate, Pr(H2O)(C9H10O2N4)2(NO3)3·H2O
Authors: Haba P. M. , Gaye M. , Sall A. S. , Barry A. H. , Jouini T.
Published: September 2014

C20H24N11O15Pr, monoclinic, P121/c1 (no. 14), a = 18.956(4) Å, b = 8.161(2) Å, c = 22.151(3) Å, β = 114.53(2)°, V = 3117.5 Å3, Z = 4, Rgt(F) = 0.025, wRref(F2) = 0.063, T = 293 K.
Crystal structure of diaqua-bis(pyridine-2,6-dicarboxylato-O,N,O′)-(μ2- pyrazino)dicopper(II) dihydrate, [Cu2(C4H4N2)(C7H3NO4)2(H2O)2] · 2H2O
Authors: Altin E. , Kirchmaier R. , Lentz A.
Published: September 2014

C18H18Cu2N4O12, monoclinic, P121/n1 (no. 14), a = 5.808(1) Å, b = 15.541(3) Å, c = 11.962(3) Å, β = 92.79(3)°, V = 1078.3 Å3, Z = 2, Rgt(F) = 0.028, wRref(F2) = 0.079, T = 293 K.
Crystal structure of dimethyl 1-acetyl-1,2-dihydro-2,3-quinolinedicarboxylate, C15H15NO5
Authors: Ramazani A. , Dolatyari L. , Kazemizadeh A. R. , Souldozi A.
Published: September 2014

C15H15NO5, triclinic, P1̅ (no. 2), a = 7.366(1) Å, b = 8.884(2) Å, c = 11.242(2) Å, α = 68.640(4)°, β = 81.328(4)°, γ = 85.050(4)°, V = 676.9 Å3, Z = 2, Rgt(F) = 0.064, wRref(F2) = 0.151, T = 120 K.
Crystal structure of 2-(6-[2-(5-ethyl-5-hydroxy-6-methyl-tetrahydro-pyran- 2-yl)-15-oxo-2,10,12-trimethyl-1,6,8-trioxa-dispiro[4.1.5.3]pentadec-13-en- 9-yl]-2-hydroxy-1,3-dimethyl-4-oxo-heptyl-5-methyl-tetrahydro-pyran- 2-yl)-butyrate sodium, Na(C42H67O11), SY-9 – antibiotic 20-oxo-salinomycin
Authors: Paulus E. F. , Vértesy L.
Published: September 2014

C42H67NaO11, orthorhombic, P212121 (no. 19), a = 10.5617(5) Å, b = 19.1580(9) Å, c = 21.5366(9) Å, V = 4357.7 Å3, Z = 4, Rgt(F) = 0.035, wRref(F2) = 0.082, T = 293 K.
Crystal structure of samarium nickel tetraaluminide, SmNiAl4
Authors: Fornasini M. L. , Raggio R. , Borzone G.
Published: September 2014

Al4NiSm, orthorhombic, Cmcm (no. 63), a = 4.0948(6) Å, b = 15.582(3) Å, c = 6.610(1) Å, V = 421.8 Å3, Z = 4, Rgt(F) = 0.028, wRobs(F2) = 0.074, T = 293 K.
Crystal structure of pentabismuth heptaoxide nitrate, Bi5O7NO3
Authors: Ziegler P. , Ströbele M. , Meyer H.-J.
Published: September 2014

Bi5NO10, monoclinic, P121/c1 (no. 14), a = 8.5846(6) Å, b = 23.385(2) Å, c = 5.5422(4) Å, β = 108.103(8)°, V = 1057.5 Å3, Z = 4, Rgt(F) = 0.029, wRref(F2) = 0.074, T = 210 K.
Crystal structure of bis(diaqua-μ-(4,4'-bipyridine-κN)bis(pyridine-2,6- dicarboxylato-κ 3O,N,O)dicopper(II)) monoaqua-μ-(4,4'-bipyridine-κN)- bis(pyridine-2,6-dicarboxylato-κ 3O,N,O)dicopper(II) hexahydrate, 2Cu2(H2O)2(C10H8N2)(C7H3NO4)2 · Cu2(H2O)(C10H8N2)(C7H3NO4)2 · 6H2O
Authors: Wen Y.-H. , He Y.-H.
Published: September 2014

C72H64Cu6N12O35, triclinic, P1̅ (no. 2), a = 10.5798(5) Å, b = 10.7076(5) Å, c = 18.6826(6) Å, α = 84.413(7)°, β = 86.541(8)°, ϒ = 62.797(4)°, V = 1873.1 Å3, Z = 1, Rgt(F) = 0.029, wRref(F2) = 0.087, T = 130 K.
Crystal structure of cis-4-tert-butyl-2-(4-nitrophenylsulfonyl)cyclohexanone, C16H21NO5S
Authors: Zukerman-Schpector J. , Maganhi S. , Olivato P. R. , Vinhato E. , Cerqueira Jr. C. R.
Published: September 2014

C16H21NO5S, triclinic, P1̅ (no. 2), a = 7.3395(9) Å, b = 11.103(1) Å, c = 11.391(1) Å, α = 107.933(9)°, β = 95.12(1)°, ϒ = 99.96(1)°, V = 859.8 Å3, Z = 2, Rgt(F) = 0.062, wRref(F2) = 0.218, T = 293 K.
Crystal structure of 1,3-benzene-bis(1-ferrocenyl-3-hydroxyprop-2-en-1-one), (C5H5)Fe(C22H16O4)Fe(C5H5)
Authors: Shi Y.-C. , Cheng H.-J. , Zhou R. , Lu Y.
Published: September 2014

C32H26Fe2O4, monoclinic, C12/c1 (no. 15), a = 19.831(4) Å, b = 9.994(2) Å, c = 25.913(5) Å, β = 94.38(3)°, V = 5120.7 Å3, Z = 8, Rgt(F) = 0.053, wRref(F2) = 0.148, T = 295 K.
Crystal structure of N,N'-bis(4-nitrophenyl)-1,4-naphthalenedicarboxamide bis(dimethylsulfoxide) solvate, C24H16N4O6 · 2C2H6OS
Authors: Jing L.-H. , Qin D.-B. , Gu S.-J. , Zhang H.-X. , Mao Z.-H.
Published: September 2014

C28H28N4O8S2, monoclinic, I12/a1 (no. 15), a = 23.820(5) Å, b = 9.166(3) Å, c = 26.778(6) Å, β = 95.58(2)°, V = 5818.9 Å3, Z = 8, Rgt(F) = 0.069, wRref(F2) = 0.176, T = 290 K.
Crystal structure of 4-methyl-N-(4,5-diazafluorenylidene)benzenamine monohydrate, C18H13N3 · H2O
Authors: Wang C.-X. , Wang P. , Li Z.-F.
Published: September 2014

C18H15N3O, triclinic, P1̅ (no. 2), a = 7.624(2) Å, b = 8.626(2) Å, c = 11.086(2) Å, α = 77.68(3)°, β = 86.66(3)°, ϒ = 86.49(3)°, V = 710.2 Å3, Z = 2, Rgt(F) = 0.088, wRref(F2) = 0.156, T = 293 K.
Crystal structure of (2RS)-2-bromomethyl-4,4-dimethyl-3,4-dihydro- 2H-pyrrole 1-oxide hemi(hydrobromide), C7H12BrNO · ½HBr
Authors: Frey W. , Gulla M. , Jäger V.
Published: September 2014

C7H12.50Br1.50NO, monoclinic, C12/c1 (no. 15), a = 22.249(2) Å, b = 8.571(1) Å, c = 11.083(1) Å, β = 117.037(8)°, V = 1882.5 Å3, Z = 8, Rgt(F) = 0.043, wRref(F2) = 0.116, T = 293 K.
Crystal structure of diaquabis(μ3-hydroxo)bis(μ2-hydroxo)- tetrakis(1,10-phenanthroline-N,N')tetracopper(II) tetraperchlorate tetrakis(N,N-dimethylformamide) solvate dihydrate, [Cu4(C12H8N2)4(OH)4(H2O)2][ClO4]4 · 4(CH3)2NCHO · 2H2O
Authors: Zhang G.-L. , Liu X.-F. , Liu W.-L.
Published: September 2014

C60H72Cl4Cu4N12O28, triclinic, P1̅ (no. 2), a = 10.177(1) Å, b = 14.189(2) Å, c = 15.142(2) Å, α = 114.16(1)°, β = 92.98(1)°, ϒ = 109.77(1)°, V = 1830.7 Å3, Z = 1, Rgt(F) = 0.049, wRref(F2) = 0.155, T = 298 K.
Re-investigation of the crystal structure of dodecasodium dodecaniobomanganate( IV) hydrate (1:52), Na12[Mn(Nb6O19)2] · 52H2O
Authors: Wang J.-P. , Ma P.-T. , Niu J.-Y.
Published: September 2014

H114MnNa6Nb12O92, monoclinic, P121/n1 (no. 14), a = 14.165(2) Å, b = 12.694(2) Å, c = 24.202(3) Å, β = 92.500(2)°, V = 4347.7 Å3, Z = 2, Rgt(F) = 0.030, wRref(F2) = 0.084, T = 293 K.
Crystal structure of tristrontium octagallide, Sr3-xGa8+3x (x = 0.15)
Authors: Haarmann F. , Prots Yu. , Göbel S. , von Schnering H. G.
Published: September 2014

Ga8.45Sr2.85, orthorhombic, Immm (no. 71), a = 4.3958(9) Å, b = 4.5298(6) Å, c = 26.002(4) Å, V = 517.8 Å3, Z = 2, Rgt(F) = 0.038, wRref(F2) = 0.091, T = 293 K.
Crystal structure of dieuropium trigallium iridium, Eu2Ga3Ir
Authors: Sichevych O. , Prots Yu. , Schnelle W. , Schmidt M. , Grin Yu.
Published: September 2014

Eu2Ga3Ir, hexagonal, P63/mmc (no. 194), a = 5.6785(2) Å, c = 8.6911(5) Å, V = 242.7 Å3, Z = 2, Rgt(F) = 0.032, wRref(F) = 0.028, T = 293 K.
Re-investigation of the crystal structure of trieuropium octagallide, Eu3-xGa8+3x (x = 0.12)
Authors: Sichevych O. , Prots Yu. , Grin Yu.
Published: September 2014

Eu2.88Ga8.36, orthorhombic, Immm (no. 71), a = 4.4105(3) Å, b = 4.3732(2) Å, c = 25.852(1) Å, V = 498.6 Å3, Z = 2, Rgt(F) = 0.025, wRref(F) = 0.062, T = 295 K.
Crystal structure of niobium chromium nickel, Nb(Cr1-xNix)2 (x = 0.49)
Authors: Grüner D. , Ormeci A. , Kreiner G.
Published: September 2014

Cr1.02NbNi0.98, hexagonal, P63/mmc (no. 194), a = 4.8692(5) Å, c = 7.9628(8) Å, V = 163.5 Å3, Z = 4, Rgt(F) = 0.052, wRref(F2) = 0.111, T = 293 K.
Crystal structure of (2,6-diisopropyl-phenyl)[N-tris(pentafluorophenyl)- boronyl-pyridin-2-yl]amine, (C6F5)3B(C5H4N)(C12H18N)
Authors: Noor A. , Irrgang T. , Kempe R.
Published: September 2014

C35H22BF15N2, triclinic, P1̅ (no. 2), a = 9.800(1) Å, b = 12.022(1) Å, c = 14.326(1) Å, α = 99.486(5)°, β = 102.673(5)°, γ = 94.591(5)°, V = 1612.3 Å3, Z = 2, Rgt(F) = 0.046, wRref(F2) = 0.124, T = 193 K.
Crystal structure of bis(6,6-dimethylcyclohexadienyl)vanadium, V(C8H11)2
Authors: Ernst R. D. , Basta R. , Arif A. M.
Published: September 2014

C16H22V, monoclinic, P121/a1 (no. 14), a = 12.1600(3) Å, b = 9.0848(3) Å, c = 13.2123(4) Å, β = 104.822(2)°, V = 1411.0 Å3, Z = 4, Rgt(F) = 0.046, wRref(F2) = 0.110, T = 200 K.
Crystal structure of 2-bromobenzoic acid hydrazide, C7H7BrN2O
Authors: Zareef M. , Iqbal R. , Qadeer G. , Wong W.-Y. , Akhtar H. , Arfan M.
Published: September 2014

C7H7BrN2O, monoclinic, P121/c1 (no. 14), a = 12.769(3) Å, b = 12.754(3) Å, c = 5.026(1) Å, β = 99.874(4)°, V = 806.5 Å3, Z = 4, Rgt(F) = 0.028, wRref(F2) = 0.074, T = 293 K.
Crystal structure of 2-phenylsulfinyl-cyclohexanone, C12H14O2S
Authors: Zukerman-Schpector J. , Oliveira da Silva R. , Olivato P. R. , Vinhato E. , Rodrigues A. , Cerqueira C. R.
Published: September 2014

C12H14O2S, monoclinic, P121/a1 (no. 14), a = 10.787(1) Å, b = 10.3955(9) Å, c = 10.888(1) Å, β = 108.928(5)°, V = 1154.9 Å3, Z = 4, Rgt(F) = 0.047, wRref(F2) = 0.142, T = 293 K.
Refinement of the crystal structure of bis(2-hydroxy-1,10- phenanthroline)dicopper(I), Cu2(C12H7N2O)2
Authors: Yu L. , Ma P.-T. , Li J. , Wang J.-P.
Published: September 2014

C24H14Cu2N4O2, monoclinic, P121/n1 (no. 14), a = 4.7747(4) Å, b = 12.688(1) Å, c = 15.446(1) Å, β = 95.316(1)°, V = 931.7 Å3, Z = 2, Rgt(F) = 0.023, wRref(F2) = 0.062, T = 293 K.
Crystal structure of rel-(3aR,4S,6aS)-4-chloromethyl-6-methyl-3,6adiphenyl- 3a,4,6,6a-tetrahydro-isoxazolo[5,4-c]isoxazole, C18H17ClN2O2
Authors: Frey W. , Shiva S. , Jäger V.
Published: September 2014

C18H17ClN2O2, monoclinic, P121/c1 (no. 14), a = 12.2900(9) Å, b = 13.325(1) Å, c = 10.482(1) Å, β = 102.69(1)°, V = 1674.7 Å3, Z = 4, Rgt(F) = 0.053, wRref(F2) = 0.162, T = 293 K.
Crystal structure of 6-(4-difluoromethoxy-3-methoxyphenyl)-3(2H)- pyridazinone, C12H10F2N2O3
Authors: Doyle C. R. , Zimmerman M. D. , Chruszcz M. , Cymborowski M. , Gawlicka-Chruszcz A. , Minor W.
Published: September 2014

C12H10F2N2O3, monoclinic, P121/n1 (no. 14), a = 7.239(1) Å, b = 15.838(1) Å, c = 10.099(1) Å, β = 91.991(6)°, V = 1157.2 Å3, Z = 4, Rgt(F) = 0.033, wRref(F2) = 0.093, T = 109 K.
Refinement of the crystal structure of sinoacutine, C19H21NO4
Authors: Wang X.-L.
Published: September 2014

C19H21NO4, orthorhombic, P212121 (no. 19), a = 10.817(2) Å, b = 11.463(2) Å, c = 13.025(2) Å, V = 1615.0 Å3, Z = 4, Rgt(F) = 0.038, wRref(F2) = 0.083, T = 297 K.
Crystal structure of tetraaqua-bis(norfloxacin)barium(II) 1,4-benzenedicarboxylate hydrate, [Ba(H2O)4(C16H17FN3O3)2][C6H4(COO)2] · H2O
Authors: An Z. , Wang R.-S.
Published: September 2014

C40H48BaF2N6O15, triclinic, P1̅ (no. 2), a = 12.305(1) Å, b = 12.472(1) Å, c = 16.591(2) Å, α = 101.920(2)°, β = 104.630(2)°, γ = 111.703(1)°, V = 2157.9 Å3, Z = 2, Rgt(F) = 0.054, wRref(F2) = 0.170, T = 295 K.
Crystal structure of catena-[dodecaaqua(μ3-benzene-1,3,5-tricarboxylato)- (μ2-benzene-1,3,5-tricarboxylato)tricopper(II)], Cu3(H2O)12(C9H3O6)2
Authors: Zhang Q.-W. , Wang G.-X.
Published: September 2014

C18H30Cu3O24, monoclinic, C121 (no. 5), a = 17.412(2) Å, b = 12.913(3) Å, c = 6.5669(1) Å, β = 111.93(2)°, V = 1369.7 Å3, Z = 2, Rgt(F) = 0.036, wRref(F2) = 0.083, T = 293 K.
Crystal structure of 1,6-bis(1-phenyl-1H-tetrazol-5-ylthio)hexane, C6H12(SCN4C6H5)2
Authors: He D.-P. , Dou Y.-L. , She J.-B.
Published: September 2014

C20H22N8S2, monoclinic, P121/c1 (no. 14), a = 7.481(4) Å, b = 16.759(9) Å, c = 8.621(5) Å, β = 101.555(8)°, V = 1059.0 Å3, Z = 2, Rgt(F) = 0.038, wRref(F2) = 0.096, T = 298 K.
Crystal structure of trans-bis(triphenylphospine oxide)tetrachlorotitanum( IV), TiCl4[(C6H5)3PO]2
Authors: Li M.-F. , Shan Y.-K.
Published: September 2014

C36H30Cl4O2P2Ti, triclinic, P1̅ (no. 2), a = 9.492(1) Å, b = 9.640(1) Å, c = 10.429(1) Å, α = 102.100(2)°, β = 108.657(2)°, γ = 92.652(2)°, V = 877.4 Å3, Z = 1, Rgt(F) = 0.043, wRref(F2) = 0.106, T = 273 K.
Crystal structure of (R)-1,1′-bi-2-naphthol 1,3-bis(pyrid-4-yl)propane, C20H14O2 · C13H14N2
Authors: Ma Z.-C.
Published: September 2014

C33H28N2O2, orthorhombic, P212121 (no. 19), a = 10.106(1) Å, b = 11.501(1) Å, c = 22.425(2) Å, V = 2606.4 Å3, Z = 4, Rgt(F) = 0.062, wRref(F2) = 0.124, T = 298 K.
Pleiotropic roles of Notch signaling in normal, malignant, and developmental hematopoiesis in the human
Authors: Kushwah Rahul , Guezguez Borhane , Lee Jung Bok , Hopkins Claudia I , Bhatia Mickie
Published: September 2014

The Notch signaling pathway is evolutionarily conserved across species and plays an important role in regulating cell differentiation, proliferation, and survival. It has been implicated in several different hematopoietic processes including early hematopoietic development as well as adult hematological malignancies in humans. This review focuses on recent developments in understanding the role of Notch signaling in the human hematopoietic system with an emphasis on hematopoietic initiation from human pluripotent stem cells and regulation within the bone marrow. Based on recent insights, we summarize potential strategies for treatment of human hematological malignancies toward the concept of targeting Notch signaling for fate regulation.
Reference values for mitral and tricuspid annular dimensions using two-dimensional echocardiography
Authors: Dwivedi Girish , Mahadevan Ganadevan , Jimenez Donie , Frenneaux Michael , Steeds Richard P
Published: September 2014

Only limited data are available from which normal ranges of mitral annular (MA) and tricuspid annular (TA) dimensions have been established. Normative data are important to assist the echocardiographer in defining the mechanism of atrioventricular valve regurgitation and to inform surgical planning. This study was conceived to establish normal MA and TA dimensions. Consecutive healthy subjects over the age of 60 were randomly recruited from the community as part of a screening project within South Birmingham. MA and TA dimensions in end-systole and end-diastole were evaluated in the parasternal and apical acoustic windows views using transthoracic echocardiography. Gender (males (M) and females (F))-specific dimensions were then assessed. A total of 554 subjects were screened and 74 with pathology considered to have an effect on annular dimensions were excluded from analysis. The mean age of the remaining 480 subjects was 70±7 years and the majority were female (56%). Dimensions were larger in men than in women and greater at end-diastole than end-systole (both P<0.05). Mean MA diameters at end-systole in the parasternal long axis view (cm) were 3.44 cm (M) and 3.11 cm (F) and at end-diastole 3.15 cm (M) and 2.83 cm (F) respectively. Mean TA diameters (cm) at end-systole in the apical 4 chamber view were 2.84 (M) and 2.80 (F) and at end-diastole 3.15 (M) and 3.01 (F) respectively. The reference ranges derived from this study differ from current published standards and should help to improve distinction of normal from pathological findings, in identifying aetiology and defining the mechanism of regurgitation.
Cross-species transcriptomic approach reveals genes in hamster implantation sites
Authors: Lei Wei , Herington Jennifer , Galindo Cristi L , Ding Tianbing , Brown Naoko , Reese Jeff , Paria Bibhash C
Published: September 2014

The mouse model has greatly contributed to understanding molecular mechanisms involved in the regulation of progesterone (P4) plus estrogen (E)-dependent blastocyst implantation process. However, little is known about contributory molecular mechanisms of the P4-only-dependent blastocyst implantation process that occurs in species such as hamsters, guineapigs, rabbits, pigs, rhesus monkeys, and perhaps humans. We used the hamster as a model of P4-only-dependent blastocyst implantation and carried out cross-species microarray (CSM) analyses to reveal differentially expressed genes at the blastocyst implantation site (BIS), in order to advance the understanding of molecular mechanisms of implantation. Upregulation of 112 genes and downregulation of 77 genes at the BIS were identified using a mouse microarray platform, while use of the human microarray revealed 62 up- and 38 down-regulated genes at the BIS. Excitingly, a sizable number of genes (30 up- and 11 down-regulated genes) were identified as a shared pool by both CSMs. Real-time RT-PCR andin situhybridization validated the expression patterns of several up- and down-regulated genes identified by both CSMs at the hamster and mouse BIS to demonstrate the merit of CSM findings across species, in addition to revealing genes specific to hamsters. Functional annotation analysis found that genes involved in the spliceosome, proteasome, and ubiquination pathways are enriched at the hamster BIS, while genes associated with tight junction, SAPK/JNK signaling, and PPARα/RXRα signalings are repressed at the BIS. Overall, this study provides a pool of genes and evidence of their participation in up- and down-regulated cellular functions/pathways at the hamster BIS.
Die Abgrenzung zwischen bezweckten und bewirkten Wettbewerbsbeschränkungen nach Art. 101 AEUV
Authors: Kuhn Tilman
Published: September 2014

Die Grenzlinien zwischen i. S. d. Art. 101 Abs. 1 AEUV bezweckten und bewirkten Wettbewerbsbeschränkungen verschwimmen zunehmend. Gerade in den letzten Jahren wurden neue Formen von Beschränkungen, die keine klassischen Kernbeschränkungen darstellten, von der Europäischen Kommission und den Unionsgerichten als bezweckte Beschränkungen eingestuft. In den USA werden hingegen immer weniger Arten von Beschränkungen als per se verboten angesehen. Der Verfasser analysiert insbesondere das jüngere Fallrecht und die offenen Fragestellungen zum Konzept der bezweckten Wettbewerbsbeschränkung im EU-Recht, die praktische Bedeutung der Abgrenzung zwischen bezweckten und bewirkten Wettbewerbsbeschränkungen, und plädiert für klarere Grenzlinien.
Information at the crossroads of competition and data protection law
Authors: Weber Rolf H.
Published: September 2014

Information is increasingly becoming a valuable currency in online businesses and, thereby, a competition factor, however, equally an important element of privacy. This article addresses the only weakly researched relationship between competition law and data protection law outlining potential factors that can contribute to a suitable balance of the two legal sectors.
An Improved Genetic Algorithm for the Multi Level Uncapacitated Facility Location Problem
Authors: Korac Vanja Miomir , Kratica Jozef , Savić Aleksandar
Published: September 2014

In this paper, an improved genetic algorithm (GA) for solving the multi-level uncapacitated facility location problem (MLUFLP) is presented. First improvement is achieved by better implementation of dynamic programming, which speeds up the running time of the overall GA implementation. Second improvement is hybridization of the genetic algorithm with the fast local search procedure designed specially for MLUFLP. The experiments were carried out on instances proposed in the literature which are modied standard single level facility location problem instances. Improved genetic algorithm reaches all known optimal and the best solutions from literature, but in much shorter time. Hybridization with local search improves several best-known solutions for large-scale MLUFLP instances, in cases when the optimal is not known. Overall running time of both proposed GA methods is signicantly shorter compared to previous GA approach.
Localization of Wireless Sensor Network Based on Genetic Algorithm
Authors: Jiang Nan , Jin Sixin , Guo Yan , He Yueshun
Published: September 2014

This paper proposes a novel localization approach based on genetic algorithm for Wireless Sensor Networks. In this method, we use a new way to approximate the distance between unknown node and anchor node when anchor node is out of an unknown node’s communicate radius. In addition, we use self-adapting genetic algorithm into localization to ensure it could produce the result as similar as its real position in any environment. Our simulate experiment on various network topologies shows surprisingly good results. These demonstrate that the approach could help unknown nodes obtain high accuracy position whether in open space or the environment with obstruction even the unconnected well environment. In comparison, we find that previous anchor node free localization approach cannot work well in the unidealization environment.
Modeling and Simulation of Genetic Fuzzy Controller for L-type ZCS Quasi-Resonant Converter
Authors: Ranjani Mani , Murugesan Palzha
Published: September 2014

A new method of speed control of DC drives using series Quasi-Resonant (QR) Zero current switching (ZCS)DC to DC converters is proposed.  .It employs a Fuzzy logic controller (FLC) in feed back loop conventionally but due to the advent of new intelligent techniques the FLC are optimized by Genetic algorithm (GA). In this paper the GA optimization technique is applied for speed control of series ZCS-QRC fed drive. The main objective of this work is to obtain reduced transient response, reduced switching stresses and switching losses which in turn enhances the efficiency and commutation capability of motor
Using the Breeder genetic algorithm to optimize a multiple regression analysis model used in prediction of the mesiodistal width of unerupted teeth
Authors: Stoica Florin , Boitor Cornel
Published: September 2014

For the prediction of the unerupted canine and premolars mesiodistal size, have been proposed different variants of multiple linear regression equations (MLRE). These are based on the amount of the upper and lower permanent incisors with a tooth of the lateral support. Aim of present study was to develop a method for optimization of MLRE, using a genetic algorithm for determining a set of coefficients that minimizes the prediction error for the sum of permanent premolars and canines dimensions from a group of young people in an area Romania's central city represented by Sibiu. To test the proposed method, we used a multiple linear regression equation derived from the estimation method proposed by Mojers to which we adjusted regression coefficients using Breeder genetic algorithm proposed by Muhlenbein and Schlierkamp.  A total of 92 children were selected with complete permanent teeth which had not clinically visible dental caries, proximal restorations or orthodontic treatment that requires the decrease of the mesiodistal size of teeth. For each of these models was made a hard dental stone which was then measured with a digital calliper, the instrument having an accuracy of 0.01 mm. To improve prediction equations, we divided data into training and validation sets. The Breeder algorithm, using the training set, will provide new values for regression coefficients and error term. The validation set was used to test the accuracy of the new proposed equations.
The Parallel One-way Hash Function Based on Chebyshev-Halley Methods with Variable Parameter
Authors: Nouri Mahdi , Safarinia Mahyar , Pourmahdi Payam , Garshasebi Mohammad Hossein
Published: September 2014

In this paper a parallel Hash algorithm construction based on the Chebyshev Halley methods with variable parameters is proposed and analyzed. The two core characteristics of the recommended algorithm are parallel processing mode and chaotic behaviors. Moreover in this paper, an algorithm for one way hash function construction based on chaos theory is introduced. The proposed algorithm contains variable parameters dynamically obtained from the position index of the corresponding message blocks. Theoretical analysis and computer simulation indicate that the algorithm can assure all performance requirements of hash function in an efficient and flexible style and secure against birthday attacks or meet-in-the-middle attacks, which is good choice for data integrity or authentication.
Síndrome de imunodeficiência adquirida: análise das complicações neurológicas em 44 casos
Authors: Puccioni Marzia , Favoreto Ana Cristina , André Charles , Peixoto Carlos A. , Novis Sergio A. P.
Published: September 2014

De 280 pacientes com anticorpos anti-HIV, 44 apresentaram manifestações neurológicas centrais. O quadro neurológico foi a manifestação inicial da AIDS em 13,5% dos casos. Déficit motor, cefaléia, sinais meníngeos e alterações do comportamento foram as manifestações mais freqüentes. A toxoplasmose cerebral, as meningites criptocócica e tuberculosa representaram 79,4% das complicações observadas. Os achados do liqüido cefalorraquidiano nos pacientes com meningite eram em geral inespecíficos, exceto pelo isolamento do Cryptococcus neoformans no exame direto e/ou cultura. A tomografia computadorizada de crânio comu-mente revelou lesões hipodensas, geralmente múltiplas, sem captação ou com captação anelar de contraste, predominando em regiões hemisféricas profundas. O tempo de doença do SNC foi inferior a 6 meses em 29 casos. Observou-se que 90,4% dos pacientes evoluíram para o óbito e nenhum destes sobreviveu por mais de 12 meses.
Escherichia coli with virulence factors and multidrug resistance in the Plankenburg River
Authors: Lamprecht Corne , Romanis Marco , Huisamen Nicola , Carinus Anneri , Schoeman Nika , Sigge Gunnar O. , Britz Trevor J.
Published: September 2014

Escherichia coli is a natural inhabitant of the gut and E. coli levels in water are considered internationally to be an indication of faecal contamination. Although not usually pathogenic, E. coli has been linked to numerous foodborne disease outbreaks, especially those associated with fresh produce. One of the most common ways through which E. coli can be transferred onto fresh produce is if contaminated water is used for irrigation. In this study, a total of 81 confirmed E. coli strains were isolated from the Plankenburg River as part of three separate studies over 3 years. During sampling, E. coli levels in the river were above the accepted levels set by the World Health Organization and the South African Department of Water Affairs and Forestry for safe irrigation of fresh produce, which indicates that transfer of E. coli during irrigation is highly probable. Multiplex polymerase chain reaction screening for pathogenic gene sequences revealed one enteroaggregative positive strain and four enteropathogenic positive strains. The four enteropathogenic strains were also found to be resistant to three or more critically and highly important antibiotics and were therefore classified as multidrug resistant strains. These results show that E. coli with enteropathogenic potential and multiple antimicrobial resistance properties has persisted over time in the Plankenburg River.
Long bone cross-sectional geometric properties of Later Stone Age foragers and herder–foragers
Authors: Cameron Michelle E. , Pfeiffer Susan
Published: September 2014

Diaphyseal cross-sectional geometry can be used to infer activity patterns in archaeological populations. We examined the cross-sectional geometric (CSG) properties of adult Later Stone Age (LSA) herder–forager long bones from the inland lower Orange River Valley of South Africa (n=5 m, 13 f). We then compared their CSG properties to LSA forager adults from the coastal fynbos (n=23 m, 14 f) and forest (n=17 m, 19 f) regions, building on a previous report (Stock and Pfeiffer, 2004). The periosteal mould method was used to quantify total subperiosteal area, torsional strength, bilateral asymmetry and diaphyseal circularity (Imax/Imin) at the mid-distal (35%) location of upper arms (humeri) and the mid-shaft (50%) location of upper legs (femora). Maximum humerus and femur lengths were similar among the three samples, suggesting that adult stature was similar in all three regions. When compared to the previous study, CSG property values obtained using the periosteal mould method correlated well, and there were no significant differences between data collected using the different methods. No statistically significant differences were found among the humerus or femur CSG properties from the different regions. This finding suggests that all individuals undertook similar volitional habitual activities in regard to their upper limbs, and also had similar degrees of terrestrial mobility. These results indicate relative behavioural homogeneity among LSA foragers and herder– foragers from South Africa. The small degree of regional variation apparent among the three samples may reflect local ecology and the subsistence demands affecting populations in these different regions.
Innovation in low-energy residential renovation: UK and France
Authors: Killip Gavin , Fawcett Tina , Janda Kathryn B.
Published: September 2014

In both France and the UK, low-energy renovation of housing is an important part of wider climate change mitigation strategy. Policy directed at householders and building professionals aims to increase the number and ambition of low-energy renovations. However, persistent problems exist for delivering genuine energy reductions at scale, including the design–performance gap, which can be understood as a problem for industry related to three factors: knowledge and skills; uncertainty over who has responsibility; and poor communication. This paper reports two case studies, focusing on the practices of innovative construction firms – one in the UK and one in France. The UK case concerns a social housing organisation that developed innovative ways of working and delivered high-quality results at lower than expected costs. The French case study profiles a new start-up company with a co-operative governance structure offering guaranteed performance contracts to clients for its renovation services. Key common themes for these innovative firms are: new configurations of traditional roles and responsibilities on site; new ways of responding to the needs and behaviours of building occupants; and the integration of different feedback mechanisms to provide learning.
Erosion rates as a potential bottom‐up control of forest structural characteristics in the Sierra Nevada Mountains
Authors: Milodowski David T. , Mudd Simon M. , Mitchard Edward T. A.
Published: September 2014

The physical characteristics of landscapes place fundamental constraints on vegetation growth and ecosystem function. In actively eroding landscapes, many of these characteristics are controlled by long‐term erosion rates: increased erosion rates generate steeper topography and reduce the depth and extent of weathering, limiting moisture storage capacity and impacting nutrient availability. Despite the potentially important bottom‐up control that erosion rates place on substrate characteristics, the relationship between the two is largely unexplored. We investigate spatial variations in aboveground biomass (AGB) across a structurally diverse mixed coniferous/deciduous forest with an order of magnitude erosion‐rate gradient in the Northern Californian Sierra Nevada, USA, using high resolution LiDAR data and field plots. Mean basin slope, a proxy for erosion rate, accounts for 32% of variance in AGB within our field area (P< 0.001), considerably outweighing the effects of mean annual precipitation, temperature, and bedrock lithology. This highlights erosion rate as a potentially important, but hitherto unappreciated, control on AGB and forest structure.
Structural Interactions with Fracture Treatments in the Horn River Basin of NE BC
Authors: Hards Eric , Marechal Francois , Welsh Jennifer , Verkhovtseva Natalia
Published: September 2014

This paper presents a case history describing the use of three-dimensional (3D) surface seismic and downhole microseismic data to understand and optimize a fracturing stimulation completion project performed in the Horn River basin (HRB) shale.

The behavior of the hydraulic fractures is interpreted from the data, and a geological theory is then used to further explain the observed data. The theory and observations are then used for completion and stimulation designs on the subsequent well pad.

The target intervals are in the HRB of northeastern British Columbia. They consist of Devonian age clastic sedimentary rocks of the Muskwa and Klua formation that overlie the carbonates of the Keg River formation. Fig. 1 illustrates the HRB geological schematic in the general area.
Rotary Steerable System With Optimized Functionally Integrated System-Specific Drill Bits Reduces Drilling Days and Extends Laterals in Northeastern US Horizontal Shale Plays
Authors: Hakam Carmel El , Davis Eric , Serdy Andrew , Spencer Reed
Published: September 2014

In the Marcellus and Utica shale plays in the northeastern United States, operators are continually seeking to optimize drilling performance and reduce overall drilling days of horizontal shale wells. This paper describes how several operators have maximized drilling performance and reduced drilling time per well by an average of two days in the Marcellus and Utica shales by adopting a new technology and employing drill bits that are specifically designed for the specific technology and application. The latest fleet of system-specific bit designs has enabled operators to repeatedly achieve more than 4,000 ft of footage drilled in a 24-hr period (well above the average footage per day achieved with conventional BHAs).

Most horizontal wells drilled in the Marcellus utilize conventional bent motor BHAs to drill the curve and lateral sections. However, the adoption of a new "pus-the-bit" rotary steerable system (RSS) by some operators has enabled them to reduce overall days per well and extend the length of the lateral sections. The unique aspect of the RSS is the customized complimentary fleet of drill bits designed in conjunction with the RSS, thereby, functionally integrating the bit into the tool. The new custom drill bits used with the RSS incorporate system-specific features to compliment the tool's drilling dynamics and optimize its drilling performance. Bit features such as cutter profile, gage cutter count configuration, polished cutters, cutter exposure and gage pad geometry were developed to improve build-up rates (BURs), rate of penetration (ROP), steerability and durability as well as to mitigate vibrations and any shale-balling tendencies specific to the RSS tool. Through successive bit design iterations, drilling performance with the RSS has steadily advanced with every horizontal job by reducing days spent drilling the curve and lateral sections.

This paper will present increased efficiency and monetary savings from the development of drill bits carried out in parallel with improving the RSS drilling system. The paper will show the improvements in comparison to offset wells and highlighting the money saved and reduced non-productive time (NPT).