The identification of wheat genetic resources with high dietary fiber content

The quality properties of different variety mixtures and composite cross populations were studied with the aim of identifying genotypes with high dietary fiber content and to cultivate and examine the effect of these components on the end-use quality. Based on the results of a Europe-wide trial, we could detect two populations and variety mixtures which had significantly higher total (TOTAX) and water extractable arabinoxylan (WEAX) content, than most of the studied genotypes, with positive effect on the human health. These populations/mixtures are promising dietary fiber resources and suitable not only for organic but also for conventional farming, especially in Central Europe. The seeds of the best population (Mv Elit CCP) was multiplied to supply it for interested farmers in Hungary in the frame of the European trial on organic heterogeneous materials

Henderson News 3.3

In This Issue: Who\u27s Who at the Library: Charles Skewis Putting It All Together in the Learning Commons Henderson Library Invites Susan Orlean Delivers 14th Annual Normal Fries Distinguished Lecture 2015 Taxes: Do YOU e-file? Georgia Poetry Circuit Annual Donors\u27 Receptio

Etude théorique de la cyclocondensation [4+2] de N,N-diméthyl- N-(3-oxo-cyclohexe-1-enyl)-formamidine avec les 9H-carbazole 1,4-dione substitués et activés par le brome

Theoretical study of [4+2] cyclocondensation of N,N-dimethyl-N-(3-oxocyclohexe-1-enyl)-formamidine with substituted and bromo-activated 9Hcarbazole1,4-dioneA theoretical study of hetero-Diels-Alder reaction between N,N-diméthyl-N-(3-oxocyclohexe-1-enyl)-formamidine (aza-diene) and substituted 9H-carbazole-1,4-dione. This reaction is regioselective and is an effective method for synthesizing calothrixin B and its analogues. The rich-electron substituted dienophiles permit to acces to the major adducts. The theoretical results are consistent with experience

An ArcGIS Tool for Modeling the Climate Envelope with Feed-Forward ANN

This paper is about the development and the application of an ESRI ArcGIS tool which implements multi-layer, feed-forward artificial neural network (ANN) to study the climate envelope of species. The supervised learning is achieved by backpropagation algorithm. Based on the distribution and the grids of the climate (and edaphic data) of the reference and future periods the tool predicts the future potential distribution of the studied species. The trained network can be saved and loaded. A modeling result based on the distribution of European larch (Larix decidua Mill.) is presented as a case study

Henderson News 2.1

In This Issue: Technology Edition- Henderson Library\u27s Fresh New Look Online-DISCOVER: One Year Later- Digital Special Collections: Using Contentdm to Bring Local History & More to Your Browser- Open Access: How Scholarship is Changing- Digital Commons: Expanding Georgia Southern\u27s Visibility and Influence-Digital Commons from a Client\u27s Perspective-LibGuides: Online Subject Guides-The Right to Privacy in the 21st Century-Series Summary: America\u27s Music-Government Shutdown Impacts Library Researc

The Utility of Data Transformation for Alignment, De Novo Assembly and Classification of Short Read Virus Sequences.

Advances in DNA sequencing technology are facilitating genomic analyses of unprecedented scope and scale, widening the gap between our abilities to generate and fully exploit biological sequence data. Comparable analytical challenges are encountered in other data-intensive fields involving sequential data, such as signal processing, in which dimensionality reduction (i.e., compression) methods are routinely used to lessen the computational burden of analyses. In this work, we explored the application of dimensionality reduction methods to numerically represent high-throughput sequence data for three important biological applications of virus sequence data: reference-based mapping, short sequence classification and de novo assembly. Leveraging highly compressed sequence transformations to accelerate sequence comparison, our approach yielded comparable accuracy to existing approaches, further demonstrating its suitability for sequences originating from diverse virus populations. We assessed the application of our methodology using both synthetic and real viral pathogen sequences. Our results show that the use of highly compressed sequence approximations can provide accurate results, with analytical performance retained and even enhanced through appropriate dimensionality reduction of sequence data

FINANCIAL SECTOR REFORM AND ECONOMIC DEVELOPMENT IN NIGERIA

Various reforms have been brought to bear on the financial system ostensibly to improve the country's macroeconomic variables and the standard of living of the people, among which are the financial reforms that were implemented in recent times. This study examines the impact of financial sector reform on the Human Development Index (HDI) following the recent statistics that show improvement in the HDI of Nigeria since 2005. The study employed several variables as a proxy for financial reforms and adopted the Granger causality test and vector error correction model to analyse the impact of the relationship for the period between 1980 and 2017. The findings revealed a negative long-run relationship between financial sector reform variables and HDI, except for owners' equity. The study also showed positive short-run dynamics between total savings to GDP and HDI. The study concluded that the recent improvements in HDI, which is the proxy for economic development, are not due to the financial sector's reforms; rather, some other influences in the economy could be responsible. The study, therefore, recommends a more inclusive reform agenda that will focus on economic development rather than economic growth

The paradox of the binomial Ixodes ricinus activity and the observed unimodal Lyme borreliosis season in Hungary

The change of ambient temperature plays a key role in determining the run of the annual Lyme season. Our aim was to explain the apparent contradiction between the annual unimodal Lyme borreliosis incidence and the bimodal Ixodes ricinus tick activity run – both observed in Hungary – by distinguishing the temperaturedependent seasonal human and tick activity, the temperature-independent factors, and the multiplicative effect of human outdoor activity in summer holiday, using data from Hungary in the period of 1998–2012. This separation was verified by modeling the Lyme incidence based on the separated factors, and comparing the run of the observed and modeled incidence. We demonstrated the bimodality of tick season by using the originally unimodal Lyme incidence data. To model the outdoor human activity, the amount of camping guest nights was used, which showed an irregular run from mid-June to September. The human outdoor activity showed a similar exponential correlation with ambient temperature to that what the relative incidence did. It was proved that summer holiday has great influence on Lyme incidence