Reasons for vaccine declination in healthy individuals attending an international vaccine and travel clinic

Little is known about the vaccine-related health behaviors of healthy individuals. We surveyed healthy individuals attending a vaccine center to define the reasons behind vaccine declination when the vaccine is warranted under current guidance. Declination due to perceived risks of the vaccines were by far the most common rationale, suggesting continued need for public health educational campaigns

The Influence of Arbuscular Mycorrhizal Fungi Inoculation on micro-propagated hybrid yam (Dioscorea spp.) growth and root knot nematode (Meloidogyne spp.) suppression

Article Purchased; Published online: 12 October 2016The use of commercial inoculants containing non-indigenous arbuscular mycorrhizal fungi (AMF) is an emerging technology towards improving crop production in Africa. The present study aims at evaluating the influence of two strains of commercial arbuscular mycorrhizal fungi (AMF) products, based on Funneliformis mosseae and Glomus dussii, on yam growth and on root knot nematodes suppression. Using micropropagated plantlets two cultivars each of Dioscorea alata (TDa98-01183 and TDa98-165), and D. rotundata (TDr97-00551 and TDr 745) were inoculated with the F. mosseae and G. dussii products separately, at transplanting into 2L pots, and then inoculated one month later with 500 infective juveniles of Meloidogyne spp. and grown for further seven months in the greenhouse. Results demonstrated that even with low colonization rates (6%), AMF led to improved yam growth, especially for D. alata. When challenged with Meloidogyne spp., AMF inoculation significantly suppressed galling symptoms across the treatments and led to higher tuber yield. This study indicates the potential of AMF to sustainably improve yam quality and productivity, although further screening should be done in order to identify a suitable combination AMF species/strain x cultivar compatibility to optimise the results

Mykorrhiza im ökologischen Landbau

The mycorrhizal symbiosis plays a major role in plant nutrient acquisition, pathogen control and soil stabilisation in land use systems with a low input of external resources. The use of inocula of mycorrhizal fungi for the development of sustainable agricultural production systems in Europe is still scarce. Since it was found that even in organically managed soils and particularly in substrates mycorrhizas can be limited, a set of recently introduced commercial inocula and 10 pre-selected strains of mycorrhizal fungi were multiplied and screened under farm conditions. Poinsettia, Pelargonium, leak and strawberry were used as test plants, which were inoculated in the seeding or potting substrates. There was a strong interaction between mycorrhizal fungi strains and crop. Mycorrhiza effects were found to be most pronounced in early seedling stages and, therefore, this phase of development should be investigated more intensively applying a combination of selected mycorrhizal fungal strains

Effect of two species of arbuscular mycorrhizal fungi inoculation on development of micro-propagated yam plantlets and suppression of Scutellonema bradys (Tylenchideae)

Using two commercially available arbuscular mycorrhizal fungal (AMF) products, one based on Funneliformis mosseae and the other on Glomus dussii, an experiment was conducted to assess their effect on yam growth and ability to suppress nematode damage in pots. Four yam cultivars (cvs) were used: two Dioscorea alata cvs (TDa98-01183 and TDa98-165), and two Dioscorea rotundata cvs (TDr97- 00551 and TDr 745). Micropropagated yam plantlets were inoculated either with F. mosseae or with G. dussii at the stage of transplanting into 2L pots and - one month later - with 500 vermiform Scutellonema bradys. The plantlets were grown for further six months in the greenhouse at IITA-Ibadan. The results showed that the presence of AMF tended to lead to improved growth of yam, especially D. alata cvs, as compared with the non-arbuscular mycorrhizal control plants. When challenged with the yam nematode S. bradys, plantlets of the two D. alata cultivars pre-inoculated with F. mosseae and cv TDr97-00551 pre-inoculated with G. dussii yielded significantly higher tuber weights compared to non- AMF control plantlets. S. bradys densities on yam plantlets pre-inoculated with AMF were generally suppressed, although no differences were observed in visible damage scores, which remained low or absent across treatments

Distributing Data and Analysis Software Containers For Better Data Sharing in Clinical Research

Introduction: Data sharing in clinical research is critical for increasing knowledge discovery. Data and software tools should be FAIR: Findable, Accessible, Inter-operable and Re-usable. Many bottlenecks exist in the process of a clinical investigator using shared data including data acquisition and statistical analysis. The objective of this project is to develop a structure for sharing data and providing rapid automated statistical analysis through creation of a pre-packaged, open-source software container. Methods: We use the open source software container technologies VirtualBox and Vagrant to create a template for sharing clinical data and analysis scripts as a single container. We use a timer to record the time necessary to setup and initialize the software container and view the results. Results: We have created a template for sharing data and analysis scripts together using open source software container technologies VirtualBox and Vagrant. We found the time needed to initialize the container to be 5 minutes and 36 seconds for a macOS-based machine and 7 minutes and 2 seconds for a Windows-based machine. Containers can be downloaded and executed from any Mac or Windows computer allowing both the reuse of and interaction with the data. This greatly reduces the time and effort needed to obtain and analyze clinical data. Conclusion: Reducing the time and effort needed to obtain and analyze clinical data increases the time available for data exploration and the discovery of new knowledge. This can be effectively achieved using software containers and virtualization

The Community-Acquired Pneumonia Organization (CAPO) Cloud-Based Research Platform (the CAPO-Cloud): Facilitating Data Sharing in Clinical Research

Background: Pneumonia is a costly and deadly respiratory disease that afflicts millions every year. Advances in pneumonia care require significant research investment and collaboration among pneumonia investigators. Despite the importance of data sharing for clinical research it remains difficult to share datasets with old and new investigators. We present CAPOCloud, a web-based pneumonia research platform intended to facilitate data sharing and make data more accessible to new investigators. Methods: We establish the first two use cases for CAPOCloud to be the automatic subsetting and constraining of the CAPO database and the automatic summarization of the database in aggregate. We use the REDCap data capture software and the R programming language to facilitate these use cases. Results: CAPOCloud allows CAPO investigators to access the CAPO clinical database and explore subsets of the data including demographics, comorbidities, and geographic regions. It also allows them to summarize these subsets or the entire CAPO database in aggregate while preserving privacy restrictions. Discussion: CAPOCloud demonstrates the viability of a research platform combining data capture, data quality, hypothesis generation, data exploration and data sharing in one interface. Future use cases for the software include automated univariate hypothesis testing, automated bivariate hypothesis testing, and principal component analysis

Options of partners improve carbon for phosphorus trade in the arbuscular mycorrhizal mutualism

The mutualism between plants and arbuscular mycorrhizal fungi (AMF) is widespread and has persisted for over 400 million years. Although this mutualism depends on fair resource exchange between plants and fungi, inequality exists among partners despite mechanisms that regulate trade. Here, we use (33) P and (14) C isotopes and a split-root system to test for preferential allocation and reciprocal rewards in the plant-AMF symbiosis by presenting a plant with two AMF that differ in cooperativeness. We found that plants received more (33) P from less cooperative AMF in the presence of another AMF species. This increase in (33) P resulted in a reduced (14) C cost per unit of (33) P from less cooperative AMF when alternative options were available. Our results indicate that AMF diversity promotes cooperation between plants and AMF, which may be an important mechanism maintaining the evolutionary persistence of and diversity within the plant-AMF mutualism

The City of Louisville Encapsulates the United States Demographics

Background: One weakness that applies to all population-based studies performed in the United States (US) is that investigators perform population-based extrapolations without providing objective statistical evidence to show how well a particular city is a suitable surrogate for the US. The objective of this study was to propose and utilize a novel computational metric to compare individual US cities with the US average. Methods: This was a secondary data analysis of publicly available databases containing US sociodemographic, economic, and health-related data. In total, 58 demographic, housing, economic, health behavior, and health status variables for each US city with a residential population of at least 500,000 were obtained. All variables were recorded as proportions. Euclidean, Manhattan, and average absolute difference metrics were used to compare the 58 variables to the average in the US. Results: Oklahoma City, OK, had the lowest distance from the United States, with Euclidean and Manhattan distances in proportion of 0.261 and 1.519, respectively. Louisville, Kentucky, had the second lowest distance for both Euclidean distance and Manhattan distance, with distances of 0.286 and 1.545, respectively. The average absolute differences in proportion for Oklahoma City and Louisville to the US average were 0.026 and 0.027, respectively. Conclusion: To our knowledge, this represents the first study evaluating a method for computing statistical comparisons of United States city sociodemographic, economic, and health-related data with the United States average. Our study shows that among cities with at least 500,000 residents, Oklahoma City is the closest to the United States, followed closely by Louisville. On average, these cities deviate from the US average on any variable studied by less than 3%