EPG analysis of stylet penetration preference of woolly apple aphid on different parts of apple trees

Woolly apple aphid (WAA), Eriosoma lanigerum (Hausmann), is an important global pest that feeds on Malus species. We studied the feeding preference of WAA on apple trees in the field for two consecutive years and in the laboratory we used electronic penetration graphs (EPG) to record the stylet penetration behavior of WAA on different parts of apple trees. We found that in the field WAA fed primarily on twigs and branches, not on leaves and fruits. Six EPG waveforms were produced during WAA probing on shoots, trunks and leaves of apple trees, including the non-penetration wave (np), the stylet pathway phase wave (C), the intracellular feeding wave (pd), the xylem feeding wave (G), waves indicative of release of saliva into the phloem (E1), and a wave indicative of ingestion from phloem (E2). In the laboratory, aphids only successfully fed on shoots, trunks and leaves, not on fruits. The EPG parameters on the phloem of shoots were significantly higher than those on trunks, indicating WAA prefer to feed on shoots. These laboratory findings explain the relative field feeding preference of WAA on different parts of apple trees, which occurs primarily on branches, barks, and young twigs in orchards, especially on young twigs.

TwinsUK COVID-19 personal experience questionnaire (CoPE): wave 1 data capture April-May 2020

TwinsUK is a population-based study which consists of 14,575 adult twins at present (55% monozygotic and 43% dizygotic) who are between 18 to 101 years of age from around the United Kingdom (UK). In response to the coronavirus disease 2019 (COVID-19) pandemic and the resulting UK ‘lockdown’ restrictions, our team developed the TwinsUK COVID-19 personal experience (CoPE) questionnaire. To date the CoPE questionnaire has been implemented three times, once during the first lockdown (April-May 2020), once as the restrictions eased (July-August 2020) and another when we entered the second wave of the pandemic and stricter restrictions were put into place (October-November 2020). This data note details the sample characteristics, and response rates of the data collected during the initial lockdown phase (wave 1) using the CoPE questionnaire. This questionnaire was designed to capture a variety of social, behavioural, psychological, environmental and health factors. It includes both measures that have been collected previously in TwinsUK as well as new measures. This data can be combined with pre-pandemic TwinsUK data and biological and genetic data. TwinsUK will also soon be complemented with the availability of linked health records. All TwinsUK data is available upon request and details are provided on how to access the data below.

Method for the numerical calculation of the mechanism of the origin the NBE (CID) due to the volume phase wave of synchronous ignition of streamer flashes by EAS-RREA

<p>In an article by Kostinskiy et al. (2019) proposed the mechanism of the origin and development of lightning from initiating event to initial breakdown pulses (termed the Mechanism). The Mechanism assumes initiation occurs in a region of a thundercloud of 1 km<sup>3</sup> with electric field E > 0.3-0.4 MV/(m∙atm), which contains, because of turbulence, numerous small “E<sub>th</sub>-volumes” of 0.001 m<sup>3</sup> with E ≥ 3 MV/(m∙atm). The Mechanism allows for lightning initiation by two observed types of initiating events: a high power VHF event called an NBE (narrow bipolar event or CID), or a weak VHF event. According to the Mechanism, both types of initiating events are caused by a group of relativistic runaway electron avalanche particles passing through many of the E<sub>th</sub>-volumes, thereby causing the nearly simultaneous launching of many positive streamer flashes.</p><p>This report describes the method for the numerical calculation of the volume phase wave of ignition of streamer flashes in the turbulent region of a thundercloud, which is initiated by secondary particles of a extensive air shower (EAS).  The lateral distribution of energetic electrons and positrons, which are created by cosmic particles with an energy ε> 10<sup>15</sup> eV, is described by the equation Nishimura-Kamata-Greizen (Kamata & Nishimura, 1958). When an EAS enters an electric field with an intensity of E> 400 kV /(m∙atm), which supports the movement of streamers, the electron runaway mechanism  is sure to start working (runaway threshold E> 280 kV/ (m∙atm), Dwyer, 2010). Each secondary electron and positron EAS initiates an avalanche of runaway electrons. The radial distribution of each avalanche was calculated in the diffusion approximation using the Dwyer-Babich approximation formulas (Dwyer, 2010; Babich & Bochkov, 2011). The model considered the effect of electrons of each such avalanche on the entire volume of a strong electric field.</p><p>The calculation showed that the EAS-RREA mechanism of almost simultaneous volumetric initiation of multiple streamer flashes can provide such NBE (CID) parameters as current and charge transfer at observation heights of 5–20 km above sea level.</p><p><strong>References</strong></p><p>Babich, L.P., Bochkov, E.I. (2011). Deterministic methods for numerical simulation of high-energy runaway electron avalanches. Journal of Experimental and Theoretical Physics, 112(3), 494–503, doi: 10.1134/S1063776111020014.</p><p>Dwyer, J. R. (2010), Diffusion of relativistic runaway electrons and implications for lightning initiation, J. Geophys. Res., 115, A00E14, doi:10.1029/2009JA014504.</p><p>Kamata, K., & Nishimura, J. (1958). The lateral and the angular structure functions of electron showers. Progress of Theoretical Physics Supplement, 6, 93. https://doi.org/10.1143/PTPS.6.93</p><p>Kostinskiy, A. Yu., Marshall, T.C., Stolzenburg, M. (2019), The Mechanism of the Origin and Development of Lightning from Initiating Event to Initial Breakdown Pulses, arXiv:1906.01033</p><p>Raizer Yu. (1991), Gas Discharge Physics, Springer-Verlag, 449 p.</p>

Time Lag in the System of Financial Transformations

The system of financial transformations has certain inertia. The processes of financial transformations develop in a volatile dynamic environment and require constant search for additional resources. Accordingly, this process occurs in a time interval and is recorded by a given lag gap. The purpose of this article is to study the lag as an indicator of the financial transformations process in the context of the “wave” differentiation, that is wave dynamics during the evaluation of the impact phase (wave push) and decline phase (wave surge strength). Objectives for meeting the purposes: - Build the interdependence of the GDP price deflator and the retail price index in the Russian Federation. - To make a wave projection to the phases of maturity, formation (push) and the effect of recession (surge) using the polynomial dependencies of the monetary, fiscal and business mechanisms. - Consider the time economics, as a category of economic theory for proposals in adjusting the institutions at different levels of housekeeping (economy). Research methods: the technique of wave dynamics, methods of analysis, comparison, induction and deduction were applied in this study. Results: The process of detailing the study of the time lags structure allows concluding that the complexity and ambiguity of the phenomenon of financial transformations imposes the ambiguous effect of time lags on the resultant feature, i.e. the effect of the wave force in the downturn (splash) phase. The ambiguous behavior of indicators, various subsystems instruments of monetary, fiscal and business mechanisms which are transforming and changing in each subsystem with different speed and turnover are of importance. This makes an impact both on the value of time lags and on their influence on the performance indicators of the system