Dynamic Sight Translation: A Simultaneous Interpreting Strategies Driver

This paper reports on eliciting anticipation strategy, a common strategy in simultaneous interpreting (SI) via sight translation (ST). A new ST variant, the dynamic type, was designed in a modular and progressive manner to facilitate the trainees’ transition into SI at the early stage of learning. The new tool was used and tested under a framework of action research that was conducted continuously over 3 years. Despite some limitations, the longitudinal study finds that the newly designed set of exercises is not only a skill development and transfer enabler but also a contributor to eliciting SI-related strategies. This article explains the validity of the exercise design for SI teaching. It then presents data analysis indicating the efficacy of dynamic ST in helping students draw on anticipation strategy

Effects of pH on Double Stranded RNA Stability in European Corn Borer Nucleases

RNA interference (RNAI) is an immune response that can be exploited to make greener pesticides. It works by inciting suppression of a specific target gene using fed or injected dsRNA. Targeting a specific gene sequence also means RNAi can be used to target a specific organism. However, some insects, such as lepidopterans, have nucleases, called dsRNases, in their gut and hemolymph that sever dsRNA and lower RNAi efficiency (1). Ostrinia nubilalis, the European corn borer, (ECB), is a prime example of a lepidopteran pest which decimates corn supplies across the Midwest and does not respond to RNAi. Comparison of dsRNA stability in dsRNase genes in ECB and western corn rootworm (WCR), a coleopteran pest that has very high RNAi efficiency, indicates that dsRNA is rapidly degraded in ECB tissues, but not WCR tissues, despite similar expression of dsRNase genes in both species. These findings suggest that another variable, such as pH may be influencing dsRNA stability in insects (2)

Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

Existing entity alignment methods mainly vary on the choices of encoding the knowledge graph, but they typically use the same decoding method, which independently chooses the local optimal match for each source entity. This decoding method may not only cause the "many-to-one" problem but also neglect the coordinated nature of this task, that is, each alignment decision may highly correlate to the other decisions. In this paper, we introduce two coordinated reasoning methods, i.e., the Easy-to-Hard decoding strategy and joint entity alignment algorithm. Specifically, the Easy-to-Hard strategy first retrieves the model-confident alignments from the predicted results and then incorporates them as additional knowledge to resolve the remaining model-uncertain alignments. To achieve this, we further propose an enhanced alignment model that is built on the current state-of-the-art baseline. In addition, to address the many-to-one problem, we propose to jointly predict entity alignments so that the one-to-one constraint can be naturally incorporated into the alignment prediction. Experimental results show that our model achieves the state-of-the-art performance and our reasoning methods can also significantly improve existing baselines.Comment: in AAAI 202

Effects of Nanoparticles on Double-Stranded RNA Stability in Moth Hemolymph

RNA interference (RNAi) is an immune response in which double-stranded RNA (dsRNA) suppresses a target gene. By designing dsRNA to target genes that are necessary for life, dsRNA can potentially be used as an insecticide. RNAi-based insecticides are badly needed because they are more specific than conventional pesticides and because many insects have developed resistance to pesticides. Unfortunately, some insects produce enzymes that degrade dsRNA and prevent the RNAi response (Cooperet al., 2018). Therefore, RNAi-based insecticides currently cannot be used to control all insects. Here we investigate dsRNA stability when incubated in hemolymph ex vivoto determine if degradation of dsRNA is contributing to the inadequate RNAi response exhibited by lepidopterans, such as the European corn borer (ECB, Ostrinia nubilalis). Our findings indicate that dsRNA is significantly degraded in ECB hemolymph, but encapsulation of dsRNA in chitosan-based nanoparticles (CB-NPs) enhances stability. These findings provide insight into RNAi efficiency limitations in insects, and may provide a method to enhance RNAi efficiency in lepidopterans and other RNAi-refractory pests

Effects of Nanoparticles on Double-Stranded RNA Stability in Corn Soil

Double-stranded RNA (dsRNA) can potentially be used as a pesticide because these molecules trigger an immune response called RNA interference (RNAi). If the expression of essential genes matching the dsRNA sequence are silenced, then the pest dies. New classes of pesticides, including RNAi-based pesticides, are needed to overcome pesticide resistance and reduce the environmental impacts of pesticides. Unfortunately, dsRNA is easily degraded by enzymes in the environment, particularly those produced by microbes in the soil (Dubelmanet al., 2014),severely limiting delivery of dsRNA to cryptic (soil dwelling) species unless transgenic plants are used. Here we investigate dsRNA stability when incubated in corn soil supernatant ex situ to determine if encapsulation of dsRNA in chitosan-basednanoparticles (CB-NPs) enhances stability in corn soil. Interestingly, dsRNA stability was not affected by soil supernatant, possibly due to the time of year when sampling was performed (Icozet al., 2008). Nonetheless, these findings provide insight into dsRNA stability in soil, and in the future may lead to a method for protecting dsRNA from environmental degradation using CB-NPs

Effects of Nanoparticles on Double-Stranded RNA Stability in Corn Soil

Double-stranded RNA (dsRNA) can potentially be used as a pesticide because these molecules trigger an immune response called RNA interference (RNAi). If the expression of essential genes matching the dsRNA sequence are silenced, then the pest dies. New classes of pesticides, including RNAi-based pesticides, are needed to overcome pesticide resistance and reduce the environmental impacts of pesticides. Unfortunately, dsRNA is easily degraded by enzymes in the environment, particularly those produced by microbes in the soil (Dubelmanet al., 2014),severely limiting delivery of dsRNA to cryptic (soil dwelling) species unless transgenic plants are used. Here we investigate dsRNA stability when incubated in corn soil supernatant ex situ to determine if encapsulation of dsRNA in chitosan-basednanoparticles (CB-NPs) enhances stability in corn soil. Interestingly, dsRNA stability was not affected by soil supernatant, possibly due to the time of year when sampling was performed (Icozet al., 2008). Nonetheless, these findings provide insight into dsRNA stability in soil, and in the future may lead to a method for protecting dsRNA from environmental degradation using CB-NPs

New spectrum of negative-parity doubly charmed baryons: Possibility of two quasistable states

The discovery of $\Xi_{cc}^{++}$ by the LHCb Collaboration triggers predictions of more doubly charmed baryons. By taking into account both the $P$-wave excitations between the two charm quarks and the scattering of light pseudoscalar mesons off the ground state doubly charmed baryons, a set of negative-parity spin-1/2 doubly charmed baryons are predicted already from a unitarized version of leading order chiral perturbation theory. Moreover, employing heavy antiquark-diquark symmetry the relevant low-energy constants in the next-to-leading order are connected with those describing light pseudoscalar mesons scattering off charmed mesons, which have been well determined from lattice calculations and experimental data. Our calculations result in a spectrum richer than that of heavy mesons. We find two very narrow $J^P=1/2^-$ $\Omega_{cc}^P$, which very likely decay into $\Omega_{cc}\pi^0$ breaking isospin symmetry. In the isospin-1/2 $\Xi_{cc}^P$ sector, three states are predicted to exist below 4.2~GeV with the lowest one being narrow and the other two rather broad. We suggest to search for the $\Xi_{cc}^{P}$ states in the $\Xi_{cc}^{++}\pi^-$ mode. Searching for them and their analogues are helpful to establish the hadron spectrum.Comment: 6 pages, 3 figures; accepted for publication as a Rapid Communication in Physical Review