Comparing the contents, functions and neonicotinoid take-up between floral and extrafloral nectar within a single species (Hemerocallis citrina Baroni)

BACKGROUND AND AIMS: Many angiosperms can secrete both floral (FN) and extrafloral (EFN) nectar. However, much remains unclear about how EFN and FN differ in secretion, composition and ecological function, especially when both FN and EFN are secreted on flowers of the same species. METHODS: Hemerocallis citrina flowers secrete both FN and EFN. The FN and EFN traits including volume, presentation pattern and temporal rhythms of secretion were compared by field observation. Sugar and amino acid contents were analysed using regular biochemical methods, whereas the proteome was investigated by combined gel-based and gel-free approaches. Animal feeders on FN and EFN were investigated by field observation. Hemerocallis citrina plants were exposed by soil drenching to two systemic insecticides, acetamiprid and imidacloprid, and the concentration of these in FN and EFN was measured by ultra-high performance liquid chromatography coupled with mass spectrometry. KEY RESULTS: Hemerocallis citrina FN was concentrated and sucrose dominant, secreted in the mature flower tube and served as a reward for pollinators. Conversely, EFN was hexose rich, more dilute and less rich in sugar and amino acids. EFN was secreted on the outside of developing floral buds, and was likely to attract predatory animals for defence. EFN had fewer phenolics, but more pathogenesis-related components, such as chitinase and glucanase. A significantly different proteomic profile and enzymatic activities between FN and EFN suggest that they had different biosynthesis mechanisms. Both neonicotinoid insecticides examined became present in both nectar types soon after application, but in greater concentration within EFN; EFN also attracted a wider range of insect species than FN. CONCLUSIONS: Hemerocallis citrina FN and EFN differed in production, composition and ecological function. The EFN pathway could be a significant way for neonicotinoids to enter the wild food chain, and must be considered when evaluating the risks to the environment of other systemic insecticides

Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations

Navier-Stokes equations are significant partial differential equations that describe the motion of fluids such as liquids and air. Due to the importance of Navier-Stokes equations, the development on efficient numerical schemes is important for both science and engineer. Recently, with the development of AI techniques, several approaches have been designed to integrate deep neural networks in simulating and inferring the fluid dynamics governed by incompressible Navier-Stokes equations, which can accelerate the simulation or inferring process in a mesh-free and differentiable way. In this paper, we point out that the capability of existing deep Navier-Stokes informed methods is limited to handle non-smooth or fractional equations, which are two critical situations in reality. To this end, we propose the \emph{Deep Random Vortex Method} (DRVM), which combines the neural network with a random vortex dynamics system equivalent to the Navier-Stokes equation. Specifically, the random vortex dynamics motivates a Monte Carlo based loss function for training the neural network, which avoids the calculation of derivatives through auto-differentiation. Therefore, DRVM not only can efficiently solve Navier-Stokes equations involving rough path, non-differentiable initial conditions and fractional operators, but also inherits the mesh-free and differentiable benefits of the deep-learning-based solver. We conduct experiments on the Cauchy problem, parametric solver learning, and the inverse problem of both 2-d and 3-d incompressible Navier-Stokes equations. The proposed method achieves accurate results for simulation and inference of Navier-Stokes equations. Especially for the cases that include singular initial conditions, DRVM significantly outperforms existing PINN method

A Grid-Based Motion Planning Approach for Coherent Groups

This paper presents a novel motion planning approach for coherent groups with constant area, and it integrates C-L method into the probabilistic roadmap algorithm with sampling on the medial axis (MAPRM). In the preprocessing phase, the group is discretized into a grid-set which represents the configuration of the group. Then, a number of samples are generated on workspace by medial axis technique. These samples are extended into group’s configuration nodes of the roadmap using an extending strategy. Also, the group's deformation degree relative to the desired shape is introduced to improve the evaluation function. It gives users more flexibility to determine the respective weights of the group’s deformation degree and its distance to the goal in the query phase. After that, a novel local planner is constructed to connect any two neighbor configurations by using C-L method and the improved evaluation function. Experiments show that our approach is able to find paths for the coherent group efficiently and keep its area invariant when moving toward the goal

Numerical strategy on the grid orientation effect in the simulation for two-phase flow in porous media by using the adaptive artificial viscosity method

It is a challenge to numerically solve nonlinear partial differential equations whose solution involves discontinuity. In the context of numerical simulators for multi-phase flow in porous media, there exists a long-standing issue known as Grid Orientation Effect (GOE), wherein different numerical solutions can be obtained when considering grids with different orientations under certain unfavorable conditions. Our perspective is that GOE arises due to numerical instability near displacement fronts, where spurious oscillations accompanied by sharp fronts, if not adequately suppressed, lead to GOE. To reduce or even eliminate GOE, we propose augmenting adaptive artificial viscosity when solving the saturation equation. It has been demonstrated that appropriate artificial viscosity can effectively reduce or even eliminate GOE. The proposed numerical method can be easily applied in practical engineering problems.Comment: 10 page

Immunity duration of a recombinant adenovirus type-5 vector-based Ebola vaccine and a homologous prime-boost immunisation in healthy adults in China: fi nal report of a randomised, double-blind, placebo-controlled, phase 1 trial

Background The 2013–15 Ebola virus disease epidemic in west Africa greatly accelerated the development of Ebola vaccine. We aimed to analyse the immune persistence induced by one shot of an adenovirus type-5 vector-based Ebola virus vaccine up to 6 months and the eff ect of boosting with a homologous vector in healthy adults in China. Methods In a randomised, double-blind, placebo-controlled, phase 1 clinical trial in one site in Jiangsu Province, China, 120 healthy adults aged 18–60 years received an initial dose of intramuscular adenovirus type-5 Ebola virus vaccine of 4·0 × 10¹⁰ viral particles, 1·6 × 10¹¹ viral particles, or placebo, and were followed up to day 168. Participants were subsequently re-recruited to receive a booster dose of the same vaccine or placebo, in the same dose, at month 6. Women who were pregnant, breastfeeding, or planned to become pregnant during the next month were excluded. Randomisation was conducted by computer-generated block randomisation. Randomisation data were unmasked for interim analysis of the data obtained between days 0–28 but not disclosed to participants or site staff . Safety and immunogenicity analysis were done on the intention-to-treat population. We aimed to assess the safety profi le of the experimental vaccine and the immunity responses to a single-dose immunisation or a homologous prime-boost regimen. Primary outcomes were Ebola glycoprotein-specifi c ELISA antibody responses 28 days post-boost and the occurrences of adverse reactions post-boost. The original trial and the extended booster study were registered with ClinicalTrials.gov, numbers NCT02326194 and NCT02533791, respectively. Findings Between Dec 28, 2014, and Jan 9, 2015, we enrolled 210 volunteers. 90 participants were not randomised due to not meeting inclusion criteria (61), meeting exclusion criteria (4), or withdrawal of consent (25). 120 people were randomly assigned to receive intramuscular Ebola vaccine at 4·0 × 10¹⁰ viral particles (low dose, n=40), Ebola vaccine at 1·6 × 10¹¹ viral particles (high dose, n=40), or placebo (n=40, in two groups of 20). After prime vaccination, the geometric mean titer (GMT) of ELISA EC90 peaked at 682·7 (95% CI 424·3–1098·5) in the low-dose vaccine group and 1305·7 (970·1–1757·2) in the high-dose vaccine group at day 28, and then fell gradually through the next a few months to 575·5 (394·8–838·8) in the high-dose vaccine group and 197·9 (107·9–362·7) in the low-dose vaccine group at day 168. No specific response was recorded in the placebo group with a GMT of 5·0. Of the 120 participants involved in the initial trial, ten participants declined to participate, and 110 were included in the boost immunisation: 38 received the low dose, 35 received the high dose, and 37 received the placebo. At day 28 after boost vaccination, the ELISA EC90 titres rapidly rose to 6110 (95% CI 4705–7935) in the low-dose group and to 11825 (8904–15705) in the high dose group. 78 of 110 participants reported at least one solicited adverse reaction within the fi rst 7 days after booster administration. Both of the groups who received vaccine showed signifi cantly higher incidence of mild or moderate solicited adverse reactions than did the placebo group. Interpretation The adenovirus 5-vectored Ebola vaccine of 1·6 × 10¹¹ viral particles was highly immunogenic and safe. The lower dose of 4·0 × 10¹⁰ viral particles was also safe, but immunogenicity seemed to be more vulnerable to the pre-existing immunity of adenovirus 5. A homologous priming-boosting regimen with adenovirus type-5 Ebola vaccine at 6 months interval was able to elicit greater antibody responses with longer duration. These results support an immunisation strategy to implement a booster injection for a more durable protection against Ebola virus disease

Long-distance transport of sucrose in source leaves promotes sink root growth by the EIN3-SUC2 module

In most plants, sucrose, a major storage sugar, is transported into sink organs to support their growth. This key physiological process is dependent on the function of sucrose transporters. Sucrose export from source tissues is predominantly controlled through the activity of SUCROSE TRANSPORTER 2 (SUC2), required for the loading of sucrose into the phloem of Arabidopsis plants. However, how SUC2 activity is controlled to support root growth remains unclear. Glucose is perceived via the function of HEXOKINASE 1 (HXK1), the only known nuclear glucose sensor. HXK1 negatively regulates the stability of ETHYLENE-INSENSITIVE3 (EIN3), a key ethylene/glucose interaction component. Here we show that HXK1 functions upstream of EIN3 in the regulation of root sink growth mediated by glucose signaling. Furthermore, the transcription factor EIN3 directly inhibits SUC2 activity by binding to the SUC2 promoter, regulating glucose signaling linked to root sink growth. We demonstrate that these molecular components form a HXK1-EIN3-SUC2 module integral to the control of root sink growth. Also, we demonstrate that with increasing age, the HXK1-EIN3-SUC2 module promotes sucrose phloem loading in source tissues thereby elevating sucrose levels in sink roots. As a result, glucose signaling mediated-sink root growth is facilitated. Our findings thus establish a direct molecular link between the HXK1-EIN3-SUC2 module, the source-to sink transport of sucrose and root growth