EFEITO DE DIFERENTES HÍBRIDOS, MÉTODOS DE SEMEADURA E APLICAÇÕES FOLIARES DE COBALTO, MOBILIDÊNIO, CÁLCIO, BORO E NITROGÊNIO NA QUALIDADE DAS SILAGENS DE PLANTA INTEIRA DE SOJA DE SEGUNDA SAFRA.

O Brasil possui aproximadamente 215,20 milhões de cabeças bovinas de corte e de leite. O grande desafio na alimentação de ruminantes de alta produtividade é  aumentar a capacidade de ingestão de alimento fazendo com que atinjam suas necessidades nutricionais, sem causar alterações prejudiciais à fisiologia do animal. A silagem de planta inteira de soja, apesar de ser uma ferramenta dietética pouco utilizada,  é uma boa alternativa na alimentação animal, por ser um volumoso de excelente valor  protéico e energético, proporcionando redução no uso de concentrados em detrimento às  forragens, além da boa aceitabilidade pelos animais. Objetivou-se com o projeto piloto  avaliar o efeito de diferentes estádios de desenvolvimento na qualidade das silagens de  planta inteira de soja. Assim, obteve-se que o melhor estádio de desenvolvimento da  soja para a ensilagem, seria o R6, onde as vagens possuem granação de 100% e as folhas estão verdes. A partir deste resultado, seriam avaliadas as alterações qualitativas das silagens de planta inteira de soja de diferentes híbridos, métodos de semeadura e  aplicações foliares de Cobalto, Molibdênio, Cálcio, Boro e Nitrogênio no estádio de desenvolvimento R6 (resultado do projeto piloto). No entanto, devido a alta infestação de Oídio (Erysiphe difusa) e a consequente secagem e queda prematura das folhas da planta, não foi possível a realização do experimento e sim só a instalação da lavoura  para a realização futura

Bayesian population receptive field modelling

We introduce a probabilistic (Bayesian) framework and associated software toolbox for mapping population receptive fields (pRFs) based on fMRI data. This generic approach is intended to work with stimuli of any dimension and is demonstrated and validated in the context of 2D retinotopic mapping. The framework enables the experimenter to specify generative (encoding) models of fMRI timeseries, in which experimental manipulations enter a pRF model of neural activity, which in turns drives a nonlinear model of neurovascular coupling and Blood Oxygenation Level Dependent (BOLD) response. The neuronal and haemodynamic parameters are estimated together on a voxel-by-voxel or region-of-interest basis using a Bayesian estimation algorithm (variational Laplace). This offers several novel contributions to receptive field modelling. The variance / covariance of parameters are estimated, enabling receptive fields to be plotted while properly representing uncertainty about pRF size and location. Variability in the haemodynamic response across the brain is accounted for. Furthermore, the framework introduces formal hypothesis testing to pRF analysis, enabling competing models to be evaluated based on their model evidence (approximated by the variational free energy), which represents the optimal tradeoff between accuracy and complexity. Using simulations and empirical data, we found that parameters typically used to represent pRF size and neuronal scaling are strongly correlated, which should be taken into account when making inferences. We used the framework to compare the evidence for six variants of pRF model using 7T functional MRI data and we found a circular Difference of Gaussians (DoG) model to be the best explanation for our data overall. We hope this framework will prove useful for mapping stimulus spaces with any number of dimensions onto the anatomy of the brain.Comment: 30 pages, 10 figures. Code available at https://github.com/pzeidman/BayespR

Metabolic Alterations in Parkinson's Disease after Thalamotomy, as Revealed by 1H MR Spectroscopy

Objective: To determine, using proton magnetic resonance spectroscopy ( 1H MRS) whether thalamotomy in patients with Parkinson\u27s disease gives rise to significant changes in regional brain metabolism. Materials and Methods: Fifteen patients each underwent stereotactic thalamotomy for the control of medically refractory parkinsonian tremor. Single-voxel 1H MRS was performed on a 1.5T unit using a STEAM sequence (TR/TM/TE, 2000/14/20 msec), and spectra were obtained from substantia nigra, thalamus and putamen areas, with volumes of interest of 7-8ml, before and after thalamotomy. NAA/Cho, NAA/Cr and Cho/Cr metabolite ratios were calculated from relative peak area measurements, and any changes were recorded and assessed. Results: In the substantia nigra and thalamus, NAA/Cho ratios were generally low. In the substantia nigra of 80% of patients (12/15) who showed clinical improvement, decreased NAA/Cho ratios were observed in selected voxels after thalamic surgery (\u3c 0.05). In the thalamus of 67% of such patients (10/15), significant decreases were also noted (\u3c 0.05). Conclusion: Our results suggest that the NAA/Cho ratio may be a valuable criterion for the evaluation of Parkinson\u27s disease patients who show clinical improvement following surgery. By highlighting variations in this ratio, 1H MRS may help lead to a better understanding of the pathophysiologic processes occurring in those with Parkinson\u27s disease

Going it alone? North Korea’s adaptability as a small power in a changing world

This article uses small states scholarship to map North Korea’s evolution from a post-colonial small state to a system-influencing state due to its nuclear weapons programme. The framework allows for contributions to: (1) The DPRK literature which in some parts has suggested the future collapse of the state, (2) The small states literature that suggests they can only survive if they integrate larger political and/or economic units, (3) The mainstream IR literature and its dominant realist streak that considers great powers and their will as the main drivers in contemporary world politics

How to verify the precision of density-functional-theory implementations via reproducible and universal workflows

In the past decades many density-functional theory methods and codes adopting periodic boundary conditions have been developed and are now extensively used in condensed matter physics and materials science research. Only in 2016, however, their precision (i.e., to which extent properties computed with different codes agree among each other) was systematically assessed on elemental crystals: a first crucial step to evaluate the reliability of such computations. We discuss here general recommendations for verification studies aiming at further testing precision and transferability of density-functional-theory computational approaches and codes. We illustrate such recommendations using a greatly expanded protocol covering the whole periodic table from Z=1 to 96 and characterizing 10 prototypical cubic compounds for each element: 4 unaries and 6 oxides, spanning a wide range of coordination numbers and oxidation states. The primary outcome is a reference dataset of 960 equations of state cross-checked between two all-electron codes, then used to verify and improve nine pseudopotential-based approaches. Such effort is facilitated by deploying AiiDA common workflows that perform automatic input parameter selection, provide identical input/output interfaces across codes, and ensure full reproducibility. Finally, we discuss the extent to which the current results for total energies can be reused for different goals (e.g., obtaining formation energies).Comment: Main text: 23 pages, 4 figures. Supplementary: 68 page

A randomized, double-blind, placebo-controlled trial of coenzyme Q10 in Huntington disease

Objective: To test the hypothesis that chronic treatment of early-stage Huntington disease (HD) with high-dose coenzyme Q10 (CoQ) will slow the progressive functional decline of HD. Methods: We performed a multicenter randomized, double-blind, placebo-controlled trial. Patients with early-stage HD (n = 609) were enrolled at 48 sites in the United States, Canada, and Australia from 2008 to 2012. Patients were randomized to receive either CoQ 2,400 mg/d or matching placebo, then followed for 60 months. The primary outcome variable was the change from baseline to month 60 in Total Functional Capacity score (for patients who survived) combined with time to death (for patients who died) analyzed using a joint-rank analysis approach. Results: An interim analysis for futility revealed a conditional power of <5% for the primary analysis, prompting premature conclusion in July 2014. No statistically significant differences were seen between treatment groups for the primary or secondary outcome measures. CoQ was generally safe and well-tolerated throughout the study. Conclusions: These data do not justify use of CoQ as a treatment to slow functional decline in HD

Prospective intervention study with a microarray-based, multiplexed, automated molecular diagnosis instrument (Verigene system) for the rapid diagnosis of bloodstream infections, and its impact on the clinical outcomes

The Verigene Gram-positive blood culture test (BC-GP) and the Verigene Gram-negative blood culture test (BC-GN) identify representative Gram-positive bacteria, Gram-negative bacteria and their antimicrobial resistance by detecting resistance genes within 3 h. Significant benefits are anticipated due to their rapidity and accuracy, however, their clinical utility is unproven in clinical studies. We performed a clinical trial between July 2014 and December 2014 for hospitalized bacteremia patients. During the intervention period (N = 88), Verigene BC-GP and BC-GN was used along with conventional microbiological diagnostic methods, while comparing the clinical data and outcomes with those during the control period (N = 147) (UMIN registration ID: UMIN000014399). The median duration between the initiation of blood culture incubation and the reporting time of the Verigene system results was 21.7 h (IQR 18.2-26.8) and the results were found in 88% of the cases by the next day after blood cultures were obtained without discordance. The hospital-onset infection rate was higher in the control period (24% vs. 44%, p = 0.002), however, no differences were seen in co-morbidities and severity between the control and intervention periods. During the intervention period, the time of appropriate antimicrobial agents\u27 initiation was significantly earlier than that in the control period (p = 0.001) and most cases (90%; 79/88) were treated with antimicrobial agents with in-vitro susceptibility for causative bacteria the day after the blood culture was obtained. The costs for antimicrobial agents were lower in the intervention period (3618 yen vs. 8505 yen, p = 0.001). The 30-day mortality was lower in the intervention period (3% vs. 13%, p = 0.019)

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals &lt;1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security