95 research outputs found
EVALUATION OF MILK PRODUCTION OF DAIRY COWS OF THE SLOVAK SPOTTED BREED ACCORDING TO SELECTION FOR LONGEVITY AND GENETIC VARIANTS OF POLYMORPHIC PROTEINS IN MILK
Elektroforetickým rozborom polymorfných bielkovín mlieka (metóda elektroforézy na škrobovom géli) 681 kráv slovenského strakatého plemena sme stanovili genetické varianty polymorfných bielkovín mlieka. Sledovali sme vplyv genetických variantov bielkovín mlieka na vybrané úžitkové vlastnosti (produkcia mlieka v kg, bielkovín v % a kg), kde rozdiely medzi testovanými skupinami boli vyhodnotené pomocou Studentovho t-testu. Pri sumárnom zhodnotení príslušných ukazovateľov úžitkovosti za produkčné obdobie medzi 25 - 162
mesiacom bol vypočítaný medzi skupinou homozygotných (AA + BB + CC genotypov) a heterozygotných genotypov (AB+AC+BC genotypov) β – kazeínu štatisticky vysoko preukazný rozdiel (+++P≤0,001, Tab. 1, 2) v produkcii mlieka o 183,7 kg a produkcii bielkovín o 7,6 kg. V polymorfizme alfa s1 – kazeín, β – laktoglobulín a κ – kazeín medzi testovanými skupinami homozygotných a heterozygotných genotypov nebol zistený preukazný rozdiel (-P≥0, 05).Milk performance of 681 cows of Slovak spotted breed was evaluated according to the genetic variants of the polymorphic proteins determined by starch gel electrophoresis. In the work the effect of genetic variants of the proteins was analysed on selected performance (production milk in kg, proteins in % and kg). Differences between the productive characters in testing groups were evaluated according to statistic method of Student ttest.
Evaluation of performance was done during productive period between 25 - 162 months. The calculation between groups of homozygotes (=AA+ BB + CC genotypes) and heterozygotes (=AB+AC+BC genotypes) in the system of β – casein showed a statistically significant difference (+++P≤0,001), (table 1, 2) in milk
production (183,7 kg) and proteins production (7,6 kg). In the systems of alpha s1 – casein, β – lactoglobulin and κ – casein polymorphisms, the differencies between the testing groups of homozygotes and heterozygotes were not statistically significant (-P≥0,05)
Brownian oscillators driven by correlated noise in a moving trap
Brownian oscillator, i.e. a micron-sized or smaller particle trapped in a
thermally fluctuating environment is studied. The confining harmonic potential
can move with a constant velocity. As distinct from the standard Langevin
theory, the chaotic force driving the particle is correlated in time. The
dynamics of the particle is described by the generalized Langevin equation with
the inertial term, a coloured noise force, and a memory integral. We consider
two kinds of the memory in the system. The first one corresponds to the
exponentially correlated noise in a weakly viscoelastic fluid and in the second
case the memory naturally arises within the Navier-Stokes hydrodynamics. Exact
analytical solutions are obtained in both the cases using a simple and
effective method not applied so far in this kind of problems.Comment: Presented at the 17th International Conference Applied Physics of
Condensed Matter (APCOM 2011), Novy Smokovec, High Tatras, Slovakia, June 22
- 24, 201
The Phenotypic Spectrum of 47 Czech Patients with Single, Large-Scale Mitochondrial DNA Deletions
BACKGROUND:
In this retrospective study, we analysed clinical, biochemical and molecular genetic data of 47 Czech patients with Single, Large-Scale Mitochondrial DNA Deletions (SLSMD).
METHODS:
The diagnosis was based on the long-range PCR (LX-PCR) screening of mtDNA isolated from muscle biopsy in 15 patients, and from the buccal swab, urinary epithelial cells and blood in 32 patients.
RESULTS:
A total of 57% patients manifested before the age of 16. We did not find any significant difference between paediatric and adult manifestation in either the proportion of patients that would develop extraocular symptoms, or the timespan of its progression. The survival rate in patients with Pearson Syndrome reached 60%. Altogether, five patients manifested with atypical phenotype not fulfilling the latest criteria for SLSMD. No correlation was found between the disease severity and all heteroplasmy levels, lengths of the deletion and respiratory chain activities in muscle.
CONCLUSIONS:
Paediatric manifestation of Progressive External Ophthalmoplegia (PEO) is not associated with a higher risk of multisystemic involvement. Contrary to PEO and Kearns-Sayre Syndrome Spectrum, Pearson Syndrome still contributes to a significant childhood mortality. SLSMD should be considered even in cases with atypical presentation. To successfully identify carriers of SLSMD, a repeated combined analysis of buccal swab and urinary epithelial cells is neede
A sustainable reaction process for phase pure LiFeSi2O6 with goethite as an iron source
Lithium-iron methasilicate (LiFeSiO, LFS), a member of clinopyroxene family, is an attractive compound for its multiferroic properties and applicability in energy-related devices. Conventional preparative method requires heating at elevated temperatures for long periods of time, with inevitable severe grain growth. We demonstrate that α-FeO(OH) (goethite) is superior as an iron source toward phase pure LFS over conventional hematite, α-FeO. The exact phase purity, i.e., no trace of iron containing reactant, is confirmed in the goethite-derived LFS by 57Fe Mössbauer spectroscopy. The grain growth of LFS during heating is suppressed to keep its crystallite size of 120 nm. Higher reactivity of goethite in comparison with hematite is mainly attributed to the dehydration of goethite, which in our case was accelerated by LiO. Related reaction mechanisms with the possible product pre-nucleation during mechanical activation are also mentioned. The magnetic properties of goethite-derived LFS are equivalent to those prepared via a laborious solid-state route. Thus, the presented preparative method offers a more sustainable route than conventional processing, and thus enables practical application of LFS
A host receptor enables type 1 pilus-mediated pathogenesis of Escherichia coli pyelonephritis
Type 1 pili have long been considered the major virulence factor enabling colonization of the urinary bladder by uropathogenic Escherichia coli (UPEC). The molecular pathogenesis of pyelonephritis is less well characterized, due to previous limitations in preclinical modeling of kidney infection. Here, we demonstrate in a recently developed mouse model that beyond bladder infection, type 1 pili also are critical for establishment of ascending pyelonephritis. Bacterial mutants lacking the type 1 pilus adhesin (FimH) were unable to establish kidney infection in male C3H/HeN mice. We developed an in vitro model of FimH-dependent UPEC binding to renal collecting duct cells, and performed a CRISPR screen in these cells, identifying desmoglein-2 as a primary renal epithelial receptor for FimH. The mannosylated extracellular domain of human DSG2 bound directly to the lectin domain of FimH in vitro, and introduction of a mutation in the FimH mannose-binding pocket abolished binding to DSG2. In infected C3H/HeN mice, type 1-piliated UPEC and Dsg2 were co-localized within collecting ducts, and administration of mannoside FIM1033, a potent small-molecule inhibitor of FimH, significantly attenuated bacterial loads in pyelonephritis. Our results broaden the biological importance of FimH, specify the first renal FimH receptor, and indicate that FimH-targeted therapeutics will also have application in pyelonephritis
Probabilistic 3D surface reconstruction from sparse MRI information
Surface reconstruction from magnetic resonance (MR) imaging data is
indispensable in medical image analysis and clinical research. A reliable and
effective reconstruction tool should: be fast in prediction of accurate well
localised and high resolution models, evaluate prediction uncertainty, work
with as little input data as possible. Current deep learning state of the art
(SOTA) 3D reconstruction methods, however, often only produce shapes of limited
variability positioned in a canonical position or lack uncertainty evaluation.
In this paper, we present a novel probabilistic deep learning approach for
concurrent 3D surface reconstruction from sparse 2D MR image data and aleatoric
uncertainty prediction. Our method is capable of reconstructing large surface
meshes from three quasi-orthogonal MR imaging slices from limited training sets
whilst modelling the location of each mesh vertex through a Gaussian
distribution. Prior shape information is encoded using a built-in linear
principal component analysis (PCA) model. Extensive experiments on cardiac MR
data show that our probabilistic approach successfully assesses prediction
uncertainty while at the same time qualitatively and quantitatively outperforms
SOTA methods in shape prediction. Compared to SOTA, we are capable of properly
localising and orientating the prediction via the use of a spatially aware
neural network.Comment: MICCAI 202
Organic Farming e-book
A agricultura biológica está-se a tornar cada vez mais importante como um caminho preferencial para a produção de produtos agrícolas, face à crescente procura do mercado mundial. A relevância da agricultura biológica é ainda maior, devido à necessidade e procura de produtos agrícolas de origem biológica, que são isentos de produtos químicos, saudáveis e amigos do ambiente. Atualmente, a agricultura biológica resulta em produtos de valor acrescentado, mas estes sistemas de produção exigem abordagens especializadas. Verifica-se uma lacuna de conhecimento especializado para enfrentar os desafios e exigências da
agricultura biológica.
Além disso, um número crescente de pessoas com níveis elevados de educação está a mudar a sua atividade para a agricultura sem qualquer tipo de formação nesta área técnica, principalmente em países com dificuldades económicas, como Portugal.
Há, portanto, necessidade de desenvolver a capacidade de pessoas com algum tipo de qualificação prévio, a fim de melhorar suas competências agrícolas e facilitar a sua capacidade de desempenho e inovação, para que possam contribuir para a Estratégia Europeia (CE) de Desenvolvimento Rural.
Este e-book foi concebido para melhorar as competências desses agricultores. O seu objectivo geral é dotar os novos agricultores com conhecimentos e capacidades necessários para o desenvolvimento da cadeia de valor dos produtos da agricultura biológica.
Os objectivos específicos são:
i) Fornecer conhecimento básico em vários aspectos da agricultura biológica e áreas afins, tais como a gestão de recursos naturais (solo, água, plantas, ambiente) e
desenvolvimento rural (conservação, agricultura biológica e familiar,
multifuncionalidade).
ii) Facilitar a troca efetiva de conhecimento e experiências em agricultura biológica, desenvolvimento rural e ambiente. iii) Oferecer suporte técnico e conhecimento em agricultura biológica num contexto de
mobilidade e em ambiente de trabalho.
Este e-livro, produzido em sete idiomas diferentes (Português, Inglês, Espanhol, Italiano, Eslovaco, Turco e Húngaro) também contribui para preservar línguas e culturas Europeias e, assim, melhorar a comunicação entre os diferentes intervenientes e grupos-alvo.
O e-book inclui os princípios e técnicas da agricultura biológica, com base no triângulo planta-solo-ambiente e nas relações entre a produção animal e o ambiente. A preparação de alimentos e rotulagem, marketing e conversão à agricultura biológica são também abordados. Os princípios e as técnicas apresentadas são explicados com base em regras e diretrizes (normas), baseados numa abordagem logística que garante o equilíbrio e integridade do sistema. O e-book apresenta também os regulamentos e normas nacionais e Europeias que são obrigatórias para os agricultores biológicos.info:eu-repo/semantics/publishedVersio
Centrality dependence of charged particle production at large transverse momentum in Pb-Pb collisions at TeV
The inclusive transverse momentum () distributions of primary
charged particles are measured in the pseudo-rapidity range as a
function of event centrality in Pb-Pb collisions at
TeV with ALICE at the LHC. The data are presented in the range
GeV/ for nine centrality intervals from 70-80% to 0-5%.
The Pb-Pb spectra are presented in terms of the nuclear modification factor
using a pp reference spectrum measured at the same collision
energy. We observe that the suppression of high- particles strongly
depends on event centrality. In central collisions (0-5%) the yield is most
suppressed with at -7 GeV/. Above
GeV/, there is a significant rise in the nuclear modification
factor, which reaches for GeV/. In
peripheral collisions (70-80%), the suppression is weaker with almost independently of . The measured nuclear
modification factors are compared to other measurements and model calculations.Comment: 17 pages, 4 captioned figures, 2 tables, authors from page 12,
published version, figures at
http://aliceinfo.cern.ch/ArtSubmission/node/284
Measurement of charm production at central rapidity in proton-proton collisions at TeV
The -differential production cross sections of the prompt (B
feed-down subtracted) charmed mesons D, D, and D in the rapidity
range , and for transverse momentum GeV/, were
measured in proton-proton collisions at TeV with the ALICE
detector at the Large Hadron Collider. The analysis exploited the hadronic
decays DK, DK, DD, and their charge conjugates, and was performed on a
nb event sample collected in 2011 with a
minimum-bias trigger. The total charm production cross section at TeV and at 7 TeV was evaluated by extrapolating to the full phase space
the -differential production cross sections at TeV
and our previous measurements at TeV. The results were compared
to existing measurements and to perturbative-QCD calculations. The fraction of
cdbar D mesons produced in a vector state was also determined.Comment: 20 pages, 5 captioned figures, 4 tables, authors from page 15,
published version, figures at
http://aliceinfo.cern.ch/ArtSubmission/node/307
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