Schr\"odinger formalism for a particle constrained to a surface in R13\mathbb{R}_1^3

In this work it is studied the Schr\"odinger equation for a non-relativistic particle restricted to move on a surface $S$ in a three-dimensional Minkowskian medium $\mathbb{R}_1^3$, i.e., the space $\mathbb{R}^3$ equipped with the metric $\text{diag}(-1,1,1)$. After establishing the consistency of the interpretative postulates for the new Schr\"odinger equation, namely the conservation of probability and the hermiticity of the new Hamiltonian built out of the Laplacian in $\mathbb{R}_1^3$, we investigate the confining potential formalism in the new effective geometry. Like in the well-known Euclidean case, it is found a geometry-induced potential acting on the dynamics $V_S = - \frac{\hbar^{2}}{2m} \left(\varepsilon H^2-K\right)$ which, besides the usual dependence on the mean ($H$) and Gaussian ($K$) curvatures of the surface, has the remarkable feature of a dependence on the signature of the induced metric of the surface: $\varepsilon= +1$ if the signature is $(-,+)$, and $\varepsilon=1$ if the signature is $(+,+)$. Applications to surfaces of revolution in $\mathbb{R}^3_1$ are examined, and we provide examples where the Schr\"odinger equation is exactly solvable. It is hoped that our formalism will prove useful in the modeling of novel materials such as hyperbolic metamaterials, which are characterized by a hyperbolic dispersion relation, in contrast to the usual spherical (elliptic) dispersion typically found in conventional materials.Comment: 26 pages, 1 figure; comments are welcom

Evaluation of the effectiveness of killer toxins produced by some strains of yeasts against other strains killer.

To make the wine, you do not need killer strains used for the purpose of dominance. It is only necessary that the yeasts are neutral. The aim of this study was to evaluate the effectiveness of killer toxins produced by some strains to produce a lethal effect on other strains killer. The experiments were conducted using the medium must Lorena M80: 20 with methylene blue. The killer test strains used were: 7M, 12M, 24M, 25M and 30M isolated from grape berries derived from the cultivar Merlot municipality of Pinto Bandeira (RS, Brazil). These strains were tested against other strains isolated killer Pinto Bandeira, they being the 3CF lineage derived from the cultivar Cabernet Franc, and the 24A strain isolated from cultivar Ancelota,; and also against strains isolated from the city of Colombo (PR, Brazil), called 4C, 6C, 7C, 10C, 11C, 12C, 13C, 14C, 15C, 17C, 19C, 20C, 22C and 24C. Were also used in the reference 1B, 91B and K1 strains. The inoculated plates were placed in an oven at 18 ° C 48 to 72 hours. The results revealed that none of the isolates showed sensitivity of these regions with the killer of five strains isolated killer test Merlot. However, the pattern and 91B K1 strains are sensitive to the killer factor produced by strains 30M and 12M. The 7M line introduced himself as killer only with respect to strain 91B. The taxonomic identification was first performed by amplifying the ITS region. Thus, three of the five strains analyzed, 7M, 24M and 25M, showed an amplicon at 610 base pairs.Resumo expandido

Coleta e identificação de germoplasma de jambu (Sphilanthes oleracea L.) resistentes ao carvão (Thecaphora sp.) e a ferrugem (Puccinia sphilanthes).

Resumo 386

Manejo da brusone no arroz de terras altas.

A integração de práticas culturais e o controle químico com o plantio das cultivares de terras altas, melhoradas para qualidade de grãos e com diferentes graus de resistência, oferece controle adequado da brusone com pouco ou nenhum custo adicional.bitstream/CNPAF/20446/1/circ_52.pd

Mineralização do fósforo nos estercos caprino e bovino em função da profundidade de incorporação sob irrigação por micro aspersão.

Este trabalho foi desenvolvido no campo experimental do CEFET Petrolina com o objetivo de verificar a mineralização de fósforo em dois estercos (caprino e bovino), quando incorporados a diferentes profundidades, ao longo do tempo, sob irrigação por micro aspersão. Cada unidade experimental foi constituída de 20 g de esterco seco a estufa a 65oC, por 48 horas, acondicionadas em sacolas de náilon que foram incorporadas ao solo obedecendo à profundidade e o tempo dos respectivos tratamentos. Ao término de cada tratamento as sacolas de náilon foram coletadas, o esterco foi recolhido, com auxílio de um pincel de cerdas flexíveis, e secos em estufa à 65oC, por 48 horas, seguindo-se da determinação do teor de fósforo pelo método do Amarelo de Vanadato. Verificou-se uma maior mineralização de P no esterco caprino que no bovino. Neste, o P mineralizado variou com a profundidade de incorporação sendo mais intensa nas camadas de 0 - 10 e de 10 - 20 cm. A mineralização de P aumentou com o tempo de incorporação nos dois estercos estudados

Taxa de composição de estercos em função do tempo e da profundidade de incorporação sob irrigação por micro aspersão.

Este trabalho teve como objetivo determinar a taxa de decomposição de estercos bovino e caprino, quando incorporados a diferentes profundidades, ao longo do tempo, sob irrigação por microaspersão. O trabalho foi realizado na área de uva de mesa, no Campo Experimental da Unidade Agrícola do CEFET - Petrolina, situada na BR 235, km 22, Zona Rural da cidade de Petrolina. Antes da instalação do experimento o solo foi amostrado a diferentes profundidades (0-10, 10-20, 20-30 e 30-40 cm) e caracterizado quimicamente

The age of data-driven proteomics : how machine learning enables novel workflows

A lot of energy in the field of proteomics is dedicated to the application of challenging experimental workflows, which include metaproteomics, proteogenomics, data independent acquisition (DIA), non-specific proteolysis, immunopeptidomics, and open modification searches. These workflows are all challenging because of ambiguity in the identification stage; they either expand the search space and thus increase the ambiguity of identifications, or, in the case of DIA, they generate data that is inherently more ambiguous. In this context, machine learning-based predictive models are now generating considerable excitement in the field of proteomics because these predictive models hold great potential to drastically reduce the ambiguity in the identification process of the above-mentioned workflows. Indeed, the field has already produced classical machine learning and deep learning models to predict almost every aspect of a liquid chromatography-mass spectrometry (LC-MS) experiment. Yet despite all the excitement, thorough integration of predictive models in these challenging LC-MS workflows is still limited, and further improvements to the modeling and validation procedures can still be made. In this viewpoint we therefore point out highly promising recent machine learning developments in proteomics, alongside some of the remaining challenges

Technical note: Influence of feed on image quality of abdominal ultrasonography in New Zealand white kits

[EN] The aim of this study was to evaluate the influence of feed change on image quality of ultrasound scanning of the gallbladder, kidney and jejunum in New Zealand White kits. Thirty-nine 35-day-old rabbits were used, distributed into 4 diet groups: C, only commercial feed; CH, commercial feed and hay; C24H, only commercial feed, replaced by hay 24 h before examination; and CH24H, commercial feed and hay, with the commercial feed withdrawn 24 h before the exam. The rabbits received the diet for 42 d (from 35 to 77 d of age) and the ultrasound evaluations were performed on days 56 and 77. Ultrasonographic assessment for image quality focused on the possibility of visualisation and an image quality rating (3 scores: unacceptable, acceptable or excellent) for the gallbladder, kidneys and jejunum. The kidneys were visualised in 100% of animals of all diets and ages. There was no difference in visualisation (P>0.05) of the gallbladder among the animals fed different diets on days 56 and 77. The C24H diet had a higher visualisation possibility (P<0.05) of the jejunum compared to the C and CH diets on day 77. For the image quality score, there was no difference in the studied organs on day 56. However, on day 77, there was a difference for the jejunum (P<0.05), and only the C24H and CH24H diets presented images classified as excellent. In conclusion, the image quality of the kidneys and gallbladder was unaffected by feed, and the jejunum had an improved image quality with the inclusion of hay and without the commercial feed 24 h before the test in New Zealand White rabbits at 77 d of age.Silva, KG.; Andrade, C.; Costa, LB.; Sotomaior, CS. (2017). Technical note: Influence of feed on image quality of abdominal ultrasonography in New Zealand white kits. World Rabbit Science. 25(4):339-343. doi:10.4995/wrs.2017.6821SWORD33934325