104,031 research outputs found
Miguel Z. Rodriguez
No full textPhotograph shows a full-length studio portrait of Miguel Z. Rodriguez, a resident of Beeville, Texas
Troglodrilus galarzai Giani and Rodriguez 1988
No full textTroglodrilus galarzai (Giani and Rodriguez, 1988) (Figures 3 B, 4 G–M, 5 C–D, 6; Table 1) Tubificoides galarzai Giani and Rodriguez, 1988 (partim): Figures 3 and 4. Tubificoides galarzai: Giani et al., 2001 (partim). Troglodrilus galarzai (Giani and Rodriguez) Juget et al., 2006 (partim): Figure 2; Achurra & Rodriguez, 2008; Timm, 2009 (partim); des Chatelliers et al., 2009 (partim). Lectotype. MCN 16.03 / 3037: a dissected specimen from Argatxa cave (Santa Eufemia–Ereñozar karst unit, 15 December 1984, UTM coordinates X: 527804, Y: 4800940, Z: 5). Paralectotype. MCN 16.03 / 3038: a dissected specimen from Argatxa cave (Ereñozar karst unit, 15 December 1984). Other material. One dissected specimen from the type locality (15 December 1984), 2 dissected specimens from Goiketxe cave (27 December 2007), 27 specimens (8 dissected, 3 whole-mounted and 16 in 70 % alcohol) from Artzegi cave (18 October 2007, 7 May 2008, 30 July 2008, 17 June 2009, 17 June 2009), 7 specimens (2 dissected and 5 in 70 % alcohol) from Lapurzulo II cave (15 October 2007), 5 dissected specimens from Ubegi II spring (25 October 2007, 25 June 2008), 8 specimens (2 dissected and 6 in 70 % alcohol) from Zubialde spring (18 October 2007) and 3 dissected specimens from Mairulegorreta cave (8 November 1987). All in the collection at the University of the Basque Country (UPV/EHU). Other localities. In Santa Eufemia-Ereñozar karst unit: Goiketxe cave (UTM coordinates X: 0 537014, Y: 4797642, Z: 40). In Gorbeia karst unit: Artzegi cave (UTM coordinates X: 0 520052, Y: 4762908, Z: 807), Lapurzulo II cave (UTM coordinates X: 0 515247, Y: 4765134, Z: 850), Mairulegorreta cave (UTM coordinates X: 0 5198557, Y: 4763525, Z: 915), Ubegi II spring (UTM coordinates X: 0 516270, Y: 4766001, Z: 973) and Zubialde spring (UTM coordinates X: 0 520044, Y: 4762955, Z: 818). Taxonomic remarks. The lectotype and paralectotype were chosen among the syntypes in the National Museum of Natural Sciences (Madrid). Although the original description by Giani and Rodriguez (1988) was only based on the population of Santa Eufemia-Ereñozar karst unit, new material from Gorbeia karst unit barely modifies the range of values of some characters (Table 1). New measurements of the penial sac and the spermathecal vestibule of the lectotype and paralectotype are given after their re-examination. Main diagnostic characters for the species are: ringed glandular epidermis; comma-shaped atrium with densely granulated epithelial cells in the concave part of the atrium both ental and ectal to the prostate junction, and non granulated epithelial cells in the convex and ectal part (Fig. 3 B); large prostate, joining the atrium subapically by a stout bundle of canals (Fig. 3 B); vas deferens ciliated throughout, longer than atrium, about 20–25 µm diameter, entering the atrium apically; penial sac rounded, maximum diameter 80–110 µm (lectotype: 100 µm; paralectotype: 85 µm); thick cuticular penial sheath, of particular form and size (see measurements of characters in Table 1), with longitudinal folds. One pair of spermathecae containing spermatozeugmata; spermathecal duct narrow (25–35 µm) ending in a spherical vestibule, 75–150 µm maximum diameter (paralectotype: 105 µm). The finding of specimens in different states of development (incompletely mature) in Gorbeia karst unit has revealed details on the formation of the penial sheath. In an early state, the penis is naked and when the formation of the penial sac seems to be completed, a cuticular sheath begins to develop around the penis (d, e, f and h in Fig. 2). In the end, the cuticular sheath covers also the internal wall of the penial sac (a and b in Fig. 2; Fig. 4).Published as part of Achurra, Ainara, Chatelliers, Michel Creuze Des & Rodriguez, Pilar, 2012, Troglodrilus jugeti n. sp. (Annelida, Clitellata, Tubificinae), a new stygobiont oligochaete species from south-western Europe, pp. 35-46 in Zootaxa 3229 on page 43, DOI: 10.5281/zenodo.28034
Polysulfonylamines, CLXXXVII. Structural Diversity in (Acetonitrile)silver(I) Di(arenesulfonyl)amides: Two Molecular Z '=1 Crystals, an Ionic Z '=2 Crystal, and Two Molecular Polymorphs Based upon C-Br center dot center dot center dot O=S Halogen Bonds and Featuring Z '=1 or Z '=2 in the Same Space Group
No full textCrystallization of silver di(4-methylbenzenesulfonyl)amide [Ag(MA)], silver di(4-nitrobenzenesulfonyl)amide [Ag(NA)], silver di(4-bromobenzenesulfonyl)amide [Ag(BA)] or silver di(4-fluorobenzenesulfonyl)amide [Ag(FA)] from acetonitrile solutions under slightly different conditions afforded single crystals of the following complexes, which were structurally authenticated by X-ray diffraction at low temperatures: (MeCN)Ag(MA) (1, triclinic, space group P (1) over bar, Z' = 1), (MeCN)(2)Ag(NA) (2, monoclinic, P2(1)/c, Z' = 1), (MeCN)(2)Ag(BA) (3, monoclinic, P2(1)/c, Z' = 1), (MeCN)(2)Ag(BA) (4, monoclinic, P2(1)/c, Z' = 2), and [(MeCN)(3)Ag][Ag(FA)(2)]center dot MeCN (5, triclinic, P (1) over bar, Z' = 1). In each structure. the inner coordination sphere of silver is formed by the ligand nitrogen atoms, leading to a linear NAgN core for the molecular complex I and the complex anion of 5, or to a trigonal planar AgN3 core for the molecular complex 2, the molecular polymorphs 3 and 4. and the complex cation of 5. The flexible di(arenesulfonyl)amide ligands adopt extended pseudo-C-2 symmetric conformations in 1, 2 and 5, but folded pseudo-mirror symmetric conformations in 3 and 4. The molecules of 1 are associated into inversion-symmetric dimers via a short Ag center dot center dot center dot O contact; the dimers form stacks by translation along the a axis, causing the silver ions to segregate in zigzag chains. The arrangement of the molecules in 2 is controlled mainly by a centered C-H center dot center dot center dot Ph hydrogen bond, a dipolar nitro-nitro and a dipolar nitro-sulfonyl interaction, giving rise to layers oriented parallel to the bc plane. The packing motifs of polymorphs 3 and 4 are very similar. Both forms consist of layers in which the molecules act as 4-connecting nodes in a network based upon C-Br center dot center dot center dot O=S halogen bonds. In the Z' = 1 structure of 3, the layers are generated by 2(1) screw axes and display one short and one long halogen bond. whereas in the Z' = 2 structure of 4, the layers are realized by glide planes and are based on four independent halogen bonds that are all reasonably short. The packing of 5 exhibits alternating layers comprised of complex anions or of complex cations and acetonitrile solvent molecules, respectively. This Z' = 2 structure may be viewed as a kinetic polymorph of a more symmetric Z' = 1 crystal
Polysulfonylamines, CLXXXVII. Structural Diversity in (Acetonitrile)silver(I) Di(arenesulfonyl)amides: Two Molecular Z '=1 Crystals, an Ionic Z '=2 Crystal, and Two Molecular Polymorphs Based upon C-Br center dot center dot center dot O=S Halogen Bonds and Featuring Z '=1 or Z '=2 in the Same Space Group
No full textCrystallization of silver di(4-methylbenzenesulfonyl)amide [Ag(MA)], silver di(4-nitrobenzenesulfonyl)amide [Ag(NA)], silver di(4-bromobenzenesulfonyl)amide [Ag(BA)] or silver di(4-fluorobenzenesulfonyl)amide [Ag(FA)] from acetonitrile solutions under slightly different conditions afforded single crystals of the following complexes, which were structurally authenticated by X-ray diffraction at low temperatures: (MeCN)Ag(MA) (1, triclinic, space group P (1) over bar, Z' = 1), (MeCN)(2)Ag(NA) (2, monoclinic, P2(1)/c, Z' = 1), (MeCN)(2)Ag(BA) (3, monoclinic, P2(1)/c, Z' = 1), (MeCN)(2)Ag(BA) (4, monoclinic, P2(1)/c, Z' = 2), and [(MeCN)(3)Ag][Ag(FA)(2)]center dot MeCN (5, triclinic, P (1) over bar, Z' = 1). In each structure. the inner coordination sphere of silver is formed by the ligand nitrogen atoms, leading to a linear NAgN core for the molecular complex I and the complex anion of 5, or to a trigonal planar AgN3 core for the molecular complex 2, the molecular polymorphs 3 and 4. and the complex cation of 5. The flexible di(arenesulfonyl)amide ligands adopt extended pseudo-C-2 symmetric conformations in 1, 2 and 5, but folded pseudo-mirror symmetric conformations in 3 and 4. The molecules of 1 are associated into inversion-symmetric dimers via a short Ag center dot center dot center dot O contact; the dimers form stacks by translation along the a axis, causing the silver ions to segregate in zigzag chains. The arrangement of the molecules in 2 is controlled mainly by a centered C-H center dot center dot center dot Ph hydrogen bond, a dipolar nitro-nitro and a dipolar nitro-sulfonyl interaction, giving rise to layers oriented parallel to the bc plane. The packing motifs of polymorphs 3 and 4 are very similar. Both forms consist of layers in which the molecules act as 4-connecting nodes in a network based upon C-Br center dot center dot center dot O=S halogen bonds. In the Z' = 1 structure of 3, the layers are generated by 2(1) screw axes and display one short and one long halogen bond. whereas in the Z' = 2 structure of 4, the layers are realized by glide planes and are based on four independent halogen bonds that are all reasonably short. The packing of 5 exhibits alternating layers comprised of complex anions or of complex cations and acetonitrile solvent molecules, respectively. This Z' = 2 structure may be viewed as a kinetic polymorph of a more symmetric Z' = 1 crystal
The Benefits of Being Economics Professor A (and not Z)
No full textAlphabetic name ordering on multi-authored academic papers, which is the convention in the economics discipline and various other disciplines, is to the advantage of people whose last name initials are placed early in the alphabet. As it turns out, Professor A, who has been a first author more often than Professor Z, will have published more articles and experienced afaster growth rate over the course of her career as a result of reputation and visibility. Moreover, authors know that name ordering matters and indeed take ordering seriously: Several characteristics of an author group composition determine the decision to deviate from the default alphabetic name order to a significant extent.performance measurement, incentives, economists, name ordering
Final word on Jersey Dutch
No full textIn this article, William Z. Shetter compares and contrasts the dialects that developed between different Dutch colonies in the New World. He explores in-depth the nuances of Jersey Dutch, and provides theories to explain how Dutch and colonial languages blended. The article is reprinted from American Speech, December 1958, Volum XXXIII, No. 4
Epitome de la eloquencia española : arte de discurrir y hablar con agudeza y elegancia en todo genero de assumptos...
No full textFecha de la fe de erratas, 1737Sign. : [calderón], 2[calderón], A-Z, 2A-2I<8
On the fractal structure of soil moisture fields
No full textWe study the spatial structure of soil moisture fields within savanna ecosystems, whose persistence is vital because it is the driver of the entire ecological structure and function. These include changes in the physical and biogeochemical conditions of the landscape, affecting vegetation state, soil composition, water fluxes, and solar radiation. We focus on computations of the probabilistic structure of islands of soil moisture, known empirically to be related to that of tree clusters, defined as crossing properties of simulated soil moisture fields. Rainfall is modelled via Cox-Isham space-time fields endowed with characteristic scales. Results show that clusters of soil moisture islands are characterized by robust scale-free structures in the region of a phase transition whose order parameter depends on mean soil moisture. Signatures of this fractal structure are well-defined power laws of size distributions of soil moisture clusters; their perimeters-vs-area relations; variance-vs- area of the fields. These characteristics allow for the estimation of the fractal dimension of the field, and its Hurst coefficient. From the general covariance equation of a fractal field, spatial simulations are possible because its mean and variance are known from the probabilistic structure of soil moisture at a point. Our results identify the statistics of hotspots of microbial activity deduced from proper moisture islands, unattainable otherwise, and thus may guide the design of field and remote observations. The critical order parameter characterizing the phase transition establishes where the fractal structure of soil moisture fields exists as a function of the climatic drivers, and the thresholds reflecting where vegetation survives in the field. An example of application of the phase transition diagram presented here is carried out with reference to the Nylsvley savanna in South Africa
On the possibility of predicting glycaemia ‘on the fly’ with constrained IoT devices in type 1 diabetes mellitus patients
No full textType 1 Diabetes Mellitus (DM1) patients are used to checking their blood glucose levels several times per day through finger sticks and, by subjectively handling this information, to try to predict their future glycaemia in order to choose a proper strategy to keep their glucose levels under control, in terms of insulin dosages and other factors. However, recent Internet of Things (IoT) devices and novel biosensors have allowed the continuous collection of the value of the glucose level by means of Continuous Glucose Monitoring (CGM) so that, with the proper Machine Learning (ML) algorithms, glucose evolution can be modeled, thus permitting a forecast of this variable. On the other hand, glycaemia dynamics require that such a model be user-centric and should be recalculated continuously in order to reflect the exact status of the patient, i.e., an 'on-the-fly' approach. In order to avoid, for example, the risk of being disconnected from the Internet, it would be ideal if this task could be performed locally in constrained devices like smartphones, but this would only be feasible if the execution times were fast enough. Therefore, in order to analyze if such a possibility is viable or not, an extensive, passive, CGM study has been carried out with 25 DM1 patients in order to build a solid dataset. Then, some well-known univariate algorithms have been executed in a desktop computer (as a reference) and two constrained devices: a smartphone and a Raspberry Pi, taking into account only past glycaemia data to forecast glucose levels. The results indicate that it is possible to forecast, in a smartphone, a 15-min horizon with a Root Mean Squared Error (RMSE) of 11.65 mg/dL in just 16.15 s, employing a 10-min sampling of the past 6 h of data and the Random Forest algorithm. With the Raspberry Pi, the computational effort increases to 56.49 s assuming the previously mentioned parameters, but this can be improved to 34.89 s if Support Vector Machines are applied, achieving in this case an RMSE of 19.90 mg/dL. Thus, this paper concludes that local on-the-fly forecasting of glycaemia would be affordable with constrained devices
R.P.M. Fr. Emmanuelis de Villarroel ..., In sacras tautologias cum illustrationibus panegyricis, anagogicis, tropologicis, et politicis, commentariorum literalium : tomus primus.
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