Propagation material borne fungus pathogens causing early stock decay in vineyards

A decline, a slow or sudden decay of vine trunks can occur in any phase of trunk life. In senescent or old plantages the increase in trunk decay is quite common but it is unacceptable in young plantage in their best production years.All over the world as well as in Hungary, a drastic decay of young trunks in nurseries and new plantages have caused panic in the past decades. From among the numerous fungal pathogens which are responsible for considerable financial and yield losses and threaten stock vigour Petri disease, esca and Black foot are the most important. In young decaying plants the fungal species Phaeomoniella chlamydospora, Phaeoacremonium spp. and Cylindrocarpon spp. were the most frequent while other fungi causing different trunk diseases, cancer or decay, like Eutypa lata, Botryosphaeria spp. and Fomitiporia mediterranea were also found. The most important infection source is the infected propagation material. Infection is systematic, the disease process is latent, diseased plants cannot be cured, thus, prevention is the only answer to the challenge

Correspondence between 3D ear depth information derived from 2D images and MRI: Use of a neural-network model

There is much interest in anthropometric-derived head-related transfer functions (HRTFs) for simulating audio for virtual-reality systems. Three-dimensional (3D) anthropometric measures can be measured directly from individuals, or indirectly simulated from two-dimensional (2D) pinna images. The latter often requires additional pinna, head and/or torso measures. This study investigated accuracy with which 3D depth information can be obtained solely from 2D pinna images using an unsupervised monocular-depth estimation neural-network model. Output was compared to depth information obtained from corresponding magnetic resonance imaging (MRI) head scans (ground truth). Results show that 3D depth estimates obtained from 2D pinna images corresponded closely with MRI head-scan depth values

The National School Lunch Program in Rural Appalachian Tennessee – or Why Implementation of the Healthy, Hunger Free Kids Act of 2010 was Met with Challenges: A Brief Report

Purpose: The purpose of this study was to investigate challenges faced by high schools in rural Appalachia in implementing the Healthy, Hunger Free Kids Act of 2010 (HHFKA). Methodology: We used qualitative, secondary analysis to analyze a collection of thirteen focus groups and 22 interviews conducted in 2013-14 among parents, teachers, and high school students in six counties in rural Appalachian Tennessee (n=98). Results: Five basic themes were identified during the thematic analysis: poor food quality prior to implementation of the HHFKA school nutrition reforms; students’ preference for low-nutrient energy-dense foods; low acceptance of healthier options after implementation of the HHFKA school nutrition reforms; HHFKA school nutrition reforms not tailored to unique needs of under-resourced communities; and students opting out of the National School Lunch Program after implementation of the HHFKA school nutrition reforms. Rural communities face multiple and intersecting challenges in implementing the HHFKA school nutrition reforms. Conclusion: As a result, schools in rural Appalachia may be less likely to derive benefits from these reforms. The ability of rural schools to take advantage of school nutrition reforms to improve student health may depend largely on factors unique to each community or school

Preliminary Trials on Treatment of Esca-Infected Grapevines with Trunk Injection of Fungicides

An increase in trunk diseases (due to esca, Agrobacterium, rugose wood virus, leaf roll viruses, phytoplasma etc.) leading to young vines death is a very serious worry in vineyards in Hungary, as it is in other countries. In response to a demand expressed by grapevine growers, a method was tested for the direct treatment of pathogens in wood tissue. An experiment based on trunk injection was carried out in an esca infected vineyard. The various fungicides (propiconazole, difenoconazole, thiabendazole; propiconazole+ thiabendazole) were injected into the trunk before the beginning of the xylem sap flow at high pressure. As a result the number of symptomatic plants was decreased, and the vigour of the plants was not impaired by the fungicide ingredients. The combination difenoconazole+ thiabendazole showed the best result

Glucose Metabolism, Islet Architecture, and Genetic Homogeneity in Imprinting of [Ca2+]i and Insulin Rhythms in Mouse Islets

We reported previously that islets isolated from individual, outbred Swiss-Webster mice displayed oscillations in intracellular calcium ([Ca2+]i) that varied little between islets of a single mouse but considerably between mice, a phenomenon we termed “islet imprinting.” We have now confirmed and extended these findings in several respects. First, imprinting occurs in both inbred (C57BL/6J) as well as outbred mouse strains (Swiss-Webster; CD1). Second, imprinting was observed in NAD(P)H oscillations, indicating a metabolic component. Further, short-term exposure to a glucose-free solution, which transiently silenced [Ca2+]i oscillations, reset the oscillatory patterns to a higher frequency. This suggests a key role for glucose metabolism in maintaining imprinting, as transiently suppressing the oscillations with diazoxide, a KATP-channel opener that blocks [Ca2+]i influx downstream of glucose metabolism, did not change the imprinted patterns. Third, imprinting was not as readily observed at the level of single beta cells, as the [Ca2+]i oscillations of single cells isolated from imprinted islets exhibited highly variable, and typically slower [Ca2+]i oscillations. Lastly, to test whether the imprinted [Ca2+]i patterns were of functional significance, a novel microchip platform was used to monitor insulin release from multiple islets in real time. Insulin release patterns correlated closely with [Ca2+]i oscillations and showed significant mouse-to-mouse differences, indicating imprinting. These results indicate that islet imprinting is a general feature of islets and is likely to be of physiological significance. While islet imprinting did not depend on the genetic background of the mice, glucose metabolism and intact islet architecture may be important for the imprinting phenomenon

Emerging Techniques in Breast MRI

As indicated throughout this chapter, there is a constant effort to move to more sensitive, specific, and quantitative methods for characterizing breast tissue via magnetic resonance imaging (MRI). In the present chapter, we focus on six emerging techniques that seek to quantitatively interrogate the physiological and biochemical properties of the breast. At the physiological scale, we present an overview of ultrafast dynamic contrast-enhanced MRI and magnetic resonance elastography which provide remarkable insights into the vascular and mechanical properties of tissue, respectively. Moving to the biochemical scale, magnetization transfer, chemical exchange saturation transfer, and spectroscopy (both “conventional” and hyperpolarized) methods all provide unique, noninvasive, insights into tumor metabolism. Given the breadth and depth of information that can be obtained in a single MRI session, methods of data synthesis and interpretation must also be developed. Thus, we conclude the chapter with an introduction to two very different, though complementary, methods of data analysis: (1) radiomics and habitat imaging, and (2) mechanism-based mathematical modeling

Conventional PCR primers for the detection of grapevine pathogens disseminated by propagating material

Polymerase chain reaction driven by sequence specific primers has become the most widely used diagnostic method to detect andidentify plant pathogens. The sensitive and cost-effective pathogen detection is exceptionally important in the production of propagatingmaterial. In this paper we have collected primer sequence data from the literature for the detection of the most important grapevine pathogensdisseminated by propagating stocks by conventional polymerase chain reaction. Basic protocols to obtain template nucleic acids have alsobeen briefly rewieved

College Students as Facilitators in Reducing Adolescent Obesity Disparity in Southern Appalachia: Team up for Healthy Living

The proportion of obese adolescents in Southern Appalachia is among the highest in the nation. Through funding from the National Institute on Minority Health and Health Disparities — National Institutes of Health, the Team Up for Healthy Living project was a cluster-randomized trial targeting obesity prevention in adolescents through a cross-peer intervention. The specific aims of the project were to: 1) develop a peer-based health education program focusing on establishing positive peer norms towards healthy eating and physical activity (PA) among high school students, 2) test program efficacy, and 3) explore mechanisms underlying the program. The study was guided by the Theory of Planned Behavior, which presupposes that human behavior is primarily driven by attitude, subjective norms, perceived behavioral control, and social support. To deliver the intervention, undergraduate students from the disciplines of public health, nutrition, and kinesiology were hired as peer facilitators. Ten area high schools were invited to participate, were matched on demographics and then randomized to intervention or control. The primary outcomes of the study included body mass status, dietary behaviors, PA, and sedentary behaviors which were assessed at baseline and at three and twelve months post baseline. Intervention schools received Team Up for Healthy Living curriculum, which consists of eight 40-minute sessions. The curriculum focused on improving nutrition awareness, PA, leadership and communication. Control schools received their regularly scheduled Lifetime Wellness curriculum. The long-term goal of the study was to establish an effective academia–community partnership program to address adolescent obesity disparity in Southern Appalachia

The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

The goal of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well‐powered meta‐ and mega‐analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large‐scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided

Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers.

Chronic motor impairments are a leading cause of disability after stroke. Previous studies have associated motor outcomes with the degree of damage to predefined structures in the motor system, such as the corticospinal tract. However, such theory-based approaches may not take full advantage of the information contained in clinical imaging data. The present study uses data-driven approaches to model chronic motor outcomes after stroke and compares the accuracy of these associations to previously-identified theory-based biomarkers. Using a cross-validation framework, regression models were trained using lesion masks and motor outcomes data from 789 stroke patients from the Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA) Stroke Recovery Working Group. Using the explained variance metric to measure the strength of the association between chronic motor outcomes and imaging biomarkers, we compared theory-based biomarkers, like lesion load to known motor tracts, to three data-driven biomarkers: lesion load of lesion-behaviour maps, lesion load of structural networks associated with lesion-behaviour maps, and measures of regional structural disconnection. In general, data-driven biomarkers had stronger associations with chronic motor outcomes accuracy than theory-based biomarkers. Data-driven models of regional structural disconnection performed the best of all models tested (R 2 = 0.210, P < 0.001), performing significantly better than the theory-based biomarkers of lesion load of the corticospinal tract (R 2 = 0.132, P < 0.001) and of multiple descending motor tracts (R 2 = 0.180, P < 0.001). They also performed slightly, but significantly, better than other data-driven biomarkers including lesion load of lesion-behaviour maps (R 2 = 0.200, P < 0.001) and lesion load of structural networks associated with lesion-behaviour maps (R 2 = 0.167, P < 0.001). Ensemble models - combining basic demographic variables like age, sex, and time since stroke - improved the strength of associations for theory-based and data-driven biomarkers. Combining both theory-based and data-driven biomarkers with demographic variables improved predictions, and the best ensemble model achieved R 2 = 0.241, P < 0.001. Overall, these results demonstrate that out-of-sample associations between chronic motor outcomes and data-driven imaging features, particularly when lesion data is represented in terms of structural disconnection, are stronger than associations between chronic motor outcomes and theory-based biomarkers. However, combining both theory-based and data-driven models provides the most robust associations