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Under the trend of antibiotic resistance of H. pylori leading to the decrease of eradication rate, the development of a vaccine is the best choice to fight against H. pylori. In this study, we attempted to reduce the amounts of required antigens by using three different parenteral routes of immunization and an adjuvant cGAMP (cyclic guanosine monophosphate-adenosine monophosphate) to enhance the immunogenicity of the vaccine candidate. The immune protection and post-challenge immune responses were assessed and compared in mice immunized with recombinant Helicobacter pylori urease A, urease B, and neutrophil-activating protein adjuvanted with cGAMP. The gastric mucosal colonization by H. pylori was significantly reduced in mice immunized by intranasal and, to a less degree, subcutaneous route, but not by intramuscular route. All immunized mice, regardless of the route of immunization, displayed significant, but comparable, increases in antigen-specific serum IgG and mucosal IgA responses 5 weeks post-challenge. The magnitude of the vaccine-induced protection appeared to be associated with the level of antigen-specific Th1 and particularly Th17 responses, as IL-17 responses were only detected in intranasally immunized mice. Taken together, we explored and confirmed the possibility of using a novel adjuvant (cGAMP) to induce significant protective immunity with 10% of oral vaccine antigen dosage through parenteral immunization, especially intranasal immunization. This may provide an alternative approach to oral immunization for the development of effective H. pylori vaccines.

The infant brain undergoes a remarkable period of neural development that is crucial for the development of cognitive and behavioral capacities (Hasegawa et al., 2018). Longitudinal magnetic resonance imaging (MRI) is able to characterize the developmental trajectories and is critical in neuroimaging studies of early brain development. However, missing data at different time points is an unavoidable occurrence in longitudinal studies owing to participant attrition and scan failure. Compared to dropping incomplete data, data imputation is considered a better solution to address such missing data in order to preserve all available samples. In this paper, we adapt generative adversarial networks (GAN) to a new application: longitudinal image prediction of structural MRI in the first year of life. In contrast to existing medical image-to-image translation applications of GANs, where inputs and outputs share a very close anatomical structure, our task is more challenging as brain size, shape and tissue contrast vary significantly between the input data and the predicted data. Several improvements over existing GAN approaches are proposed to address these challenges in our task. To enhance the realism, crispness, and accuracy of the predicted images, we incorporate both a traditional voxel-wise reconstruction loss as well as a perceptual loss term into the adversarial learning scheme. As the differing contrast changes in T1w and T2w MR images in the first year of life, we incorporate multi-contrast images leading to our proposed 3D multi-contrast perceptual adversarial network (MPGAN). Extensive evaluations are performed to assess the qualityand fidelity of the predicted images, including qualitative and quantitative assessments of the image appearance, as well as quantitative assessment on two segmentation tasks. Our experimental results show that our MPGAN is an effective solution for longitudinal MR image data imputation in the infant brain. We further apply our predicted/imputed images to two practical tasks, a regression task and a classification task, in order to highlight the enhanced task-related performance following image imputation. The results show that the model performance in both tasks is improved by including the additional imputed data, demonstrating the usability of the predicted images generated from our approach.

Zizyphus mauritiana Lam. is an important tropical fruit tree and has significant economic value. It is widely planted in Hainan, Guangdong, Guangxi and Fujian provinces in China (Yang et al. 2017). In March 2019, leaf spot was observed on leaves of Z. mauritiana at Bagui fields in Nanning, Guangxi, China, with incidence exceeding 50%. Symptomatic leaves developed a yellow to tan-brown sunken lesion and finally abscised. To isolate the pathogen causing the symptoms, small pieces (5 × 5 mm) of infected leaves were surface sterilized by exposure to 75% ethanol for 10 sec, 1% sodium hypochlorite for 1 min and rinsed three times in sterile water. Fifty pieces were isolated, surface sterilized, and pieces were plated onto potato dextrose agar (PDA) and grown at 28°C for 7 days. The isolation rate of Colletotrichum species was 100%. Three representative isolates (DQZ3-1, DQZ3-2 and DQZ3-3) were selected for further study. Mycelia were greyish-white for all three isolates, with isolate DQZ3-1 also appearing dark green in the center of the colony. Conidia were elliptical, aseptate and hyaline, with sizes of 13.4 ± 0.12 µm × 5.7 ± 0.1 µm, 14.8 ± 0.1 µm × 5.8 ± 0.1 µm and 15.1 ± 0.1 µm × 5.5 ± 0.1 µm for DQZ3-1, DQZ3-2 and DQZ3-3, respectively. Genomic DNA was extracted using the DNAsecure Plant Kit [Tiangen Biotech (Beijing) Co., Ltd] and the internal transcribed spacer (ITS), partial actin (ACT), calmodulin (CAL), chitin synthase (CHS-1), beta-tubulin (TUB2), and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) genes were sequenced (Weir et al. 2012). Phylogenetic analysis of the three isolates was performed with MEGA-X (Version 10.0) based on sequences of multiple loci (ITS, ACT, CAL, CHS-1, TUB2 and GAPDH) using Maximum Likelihood analysis. Isolate DQZ3-1 was identified as C. fructicola, and the other two isolates, DQZ3-2 and DQZ3-3, were identified as C. siamense (accessions MT039396 to MT039410, for ACT, CAL, CHS-1, GAPDH and TUB2 of DQZ3-1, DQZ3-2 and DQZ3-3; MT041651 to MT041653 for ITS of DQZ3-1, DQZ3-2 and DQZ3-3). Pathogenicity tests were conducted on 1-year-old plants. Young, healthy leaves were artificially wounded by gently scratching with a sterile needle and 10 µl droplets of conidial suspension (106 spores/ml) applied per wound site for each isolate. Some wounded leaves were inoculated with 10 µl droplets of water as controls. Each isolate was inoculated onto three plants, with 15 leaves at least for each plant, same as controls. All inoculated plants were sprayed with water and covered with plastic bags to maintain high humidity. Symptomatic lesions were observed on the inoculated leaves after 7 days at 28°C, whereas no symptoms were observed on the control leaves. To fulfill Koch's postulates, fungi were re-isolated from 50 symptomatic leaf pieces and fungi re-isolated from each leaf piece were morphologically identical to the inoculated isolates, for a 100% isolation frequency. To our knowledge, this is the first report of leaf spot caused by C. fructicola and C. siamense on Z. mauritiana worldwide. This research may accelerate the development of future epidemiological studies and management strategies for anthracnose caused by C. fructicola and C. siamense on Z. mauritiana.

The performance of wireless multihop networks depends on the achievable channel capacity for each transmission link as well as the level of spectrum spatial reuse in the network. For the latter one, successive interference cancellation (SIC) has emerged as an advanced PHY technique with the ability of decoding two or more overlapping signals and therefore allowing multiple concurrent transmissions. Effectively managing the transmission concurrency over the shared medium ensures good quality of transmission and therefore results in higher achievable transmission data rates. In this paper, we seek to understand the benefits of SIC and its interference management capabilities in a multi-rate multihop wireless network. To characterize the network performance under these characteristics, we follow a cross-layer design approach and formulate the joint routing and scheduling problem with rate control as a mixed integer linear program with the objective to maximize the minimum flow throughput. Given its large scale and combinatorial complexity, we follow a decomposition approach using column generation to solve the problem. However, the complexity of solving exactly the pricing subproblem limits the application of the model to very small size network instances. We develop one efficient greedy method for solving exactly the pricing subproblem as well as a simulated annealing based heuristic approach with very good performance. Our results indicate that SIC benefits strongly depend on the strength of the received signals. We show that transmission links with fixed higher data rates do not necessarily yield higher SIC gains because higher transmission rates result in sparser network topologies and thus less flexible routing. Larger networks with SIC capabilities and bitrate adaptation however are most effective in controlling the interference and improving the spatial reuse and thus reap the largest benefits with gains exceeding 20% over networks only with SIC capabilities or only with rate control.

Antecedentes. La valoración del riesgo de violencia es un requisito fundamental en la toma de decisiones profesionales que implican prevenir, intervenir o informar sobre la conducta de las personas. El uso de herramientas estructuradas de evaluación del riesgo de violencia ha mostrado mejoría en la precisión de las evaluaciones basadas exclusivamente en el juicio clínico o en la pericia de un experto en contextos psiquiátricos, penitenciarios y jurídicos.Objetivo. Este estudio presenta los resultados de la primera encuesta sobre las prácticas profesionales asociadas al uso de herramientas de evaluación del riesgo de violencia en España.Materiales y métodos. La información fue recogida mediante la administración de una encuesta en internet que fue distribuida por correo electrónico a los miembros de organizaciones profesionales.Resultados. De manera similar a los contextos profesionales del resto del mundo, las escalas de psicopatía de Robert Hare (Psychopathy Checklist-Revised y Psychopathy Checklist: Screening Version) y el Historical-Clinical-Risk Management-20 encabezaron la lista de las herramientas más usadas tanto por elección personal como por requisito institucional.Conclusiones. Se ofrecen datos novedosos sobre la prevalencia de uso y la utilidad percibida de las herramientas estructuradas, así como sobre otras cuestiones relacionadas a las prácticas profesionales de evaluación del riesgo de violencia en España que pueden orientar tanto a los profesionales de contextos sanitarios, correccionales y forenses, como a los responsables de las instituciones en la elección de las herramientas a implementar para asistirlos en la toma de decisiones. Background. Violence risk assessment is a key requirement in professional decision making involving prevention, intervention or reporting on human behavior. The use of structured tools for violence risk assessment has shown to improve the accuracy of assessments based exclusively on clinical judgment or expertise in psychiatric, correctional and legal settings.Objectives. This study presents results of the first survey about professional practices associated with tools for violence risk assessment in Spain.Materials and methods. The information was collected by administering an online-based survey that was distributed by e-mail to members of professional organizations around the country.Results. As in professional contexts worldwide, the Robert Hare's psychopathy scales (Psychopathy Checklist-Revised and Psychopathy Checklist: Screening Version) and the Historical-Clinical-Risk Management-20 topped the list of the most used tools both by professional choice and institutional requirement.Conclusions. We provide novel data on the prevalence of use and the perceived utility of specific tools, as well as on other issues related to the professional practice of violence risk assessment in Spain, which can guide professional in the health care, correctional and forensic settings, as well as those responsible for decisions in institutions about choosing which tool to implement.

In the breeding of broiler house, the proper use of lighting systems has great influence on the welfare and the productivity of the birds. The objective was to evaluate two artificial lighting systems used in broiler house in terms of the allocative efficiency of luminance. One of the broiler house was closed with black raffia bag (dark house), without thermal insulation (NTI) and its lighting was composed of incandescent, compact fluorescent light (LFCs) and light emitting diode (LED) bulbs. The other broiler house was closed with extruded polystyrene panels (XPS) and thermally insulated (TI), and its lighting was composed of compact fluorescent lamps. The influence of external light of sun inside the broiler house was analyzed by means of exhaust holes and the degree of distribution of illumination through statistical analyzes and the study of the distribution uniformity coefficient (DUC). Contour maps were prepared showing the degree of internal luminance distribution for each broiler house, specifically in the area that did not suffer interference from external natural sunlight. The results showed that natural lighting influenced the internal lighting across the last 18 meters at the end of the broiler house and there was a more homogeneous lighting in the broiler house TI. Al criar pollos de engorde, el uso adecuado de los programas de iluminación es un factor que influye directamente en el bienestar y la productividad de las aves. Así, el objetivo de este trabajo fue evaluar dos sistemas de iluminación artificial utilizados en aviarios de pollos de engorde, en cuanto a su eficiencia de iluminación distributiva. Uno de los aviarios se cerró con un sistema convencional de lona de rafia oscura (Dark house), sin aislamiento térmico (N.ISO) y su sistema de iluminación consistió en lámparas incandescentes, fluorescentes compactas y LED. La otra casa se cerró con isopaneles de poliestireno extruido (XPS), y se aisló térmicamente (ISO) y su sistema de iluminación estaba compuesto únicamente por lámparas fluorescentes compactas. Se analizó la extensión de la influencia de la luz solar externa al interior de la vivienda, a través de los extractores, y el grado de distribución de la iluminación en las viviendas mediante el análisis estadístico y el estudio del coeficiente de uniformidad de distribución (CUD). Se elaboraron mapas de isolíneas que muestran el grado de distribución de iluminancia interna de cada vivienda, concretamente en la zona que no sufrió interferencias de la luz solar natural externa. Los resultados mostraron que la luz solar natural externa influyó en la iluminación interior durante los últimos 18 metros al final de la casa y la iluminación fue más homogénea en la casa ISO. Na criação de frangos de corte o uso adequado de programas de iluminação é um fator que influencia diretamente o bem-estar e a produtividade das aves. Assim, o objetivo deste trabalho foi avaliar dois sistemas de iluminação artificial utilizados em aviários de frango de corte, quanto à sua eficiência distributiva de iluminamento. Um dos aviários foi fechado com sistema convencional de lona de ráfia escura (Dark house), sem isolamento térmico (N.ISO) e seu sistema de iluminação foi composto por lâmpadas incandescentes, fluorescente compacta e led. O outro aviário foi fechado com isopainéis de poliestireno extrudado (XPS), e isolado termicamente (ISO) e seu sistema de iluminação foi composto somente por lâmpadas fluorescente compacta. Foram analisados o alcance da influência da luz solar externa para o interior do aviário, por meio dos exaustores, e o grau de distribuição da iluminação nos aviários por meio de análises estatísticas e do estudo do coeficiente de uniformidade de distribuição (CUD). Foram elaborados mapas de isolinhas mostrando o grau de distribuição de iluminância interna para cada aviário, especificamente na área que não sofreu interferência da iluminação solar natural externa. Os resultados mostraram que a iluminação solar natural externa influenciou a iluminação interna ao longo dos últimos 18 metros no final do aviário e a iluminação foi mais homogênea no aviário ISO.

The evolution of massive stars is still partly unconstrained. Mass, metallicity, mass loss and rotation are the main drivers of stellar evolution. Binarity and magnetic field may also significantly affect the fate of massive stars. Our goal is to investigate the evolution of single O stars in the Galaxy. For that, we use a sample of 74 objects comprising all luminosity classes and spectral types from O4 to O9.7. We rely on optical spectroscopy obtained in the context of the MiMeS survey of massive stars. We perform spectral modelling with the code CMFGEN. We determine the surface properties of the sample stars, with special emphasis on abundances of carbon, nitrogen and oxygen. Most of our sample stars have initial masses in the range 20 to 50 Msun. We show that nitrogen is more enriched and carbon/oxygen more depleted in supergiants than in dwarfs, with giants showing intermediate degrees of mixing. CNO abundances are observed in the range of values predicted by nucleosynthesis through the CNO cycle. More massive stars, within a given luminosity class, appear to be more chemically enriched than lower mass stars. We compare our results with predictions of three types of evolutionary models and show that, for two sets of models, 80% of our sample can be explained by stellar evolution including rotation. The effect of magnetism on surface abundances is unconstrained. Our study indicates that, in the 20-50 Msun mass range, the surface chemical abundances of most single O stars in the Galaxy are fairly well accounted for by stellar evolution of rotating stars. Comment: 15 pages, 12 figures. Accepted in Astronomy & Astrophysics