No abstract

As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of Ethereum transaction records, however, is still relatively unexplored till now. Modeling the transaction records as a static simple graph, existing methods are unable to accurately characterize the temporal and multiplex features of the edges. In this brief, we first model the Ethereum transaction records as a complex network by incorporating time and amount features of the transactions, and then design several flexible temporal walk strategies for random-walk based graph representation of this large-scale network. Experiments of temporal link prediction on real Ethereum data demonstrate that temporal information and multiplicity characteristic of edges are indispensable for accurate modeling and understanding of Ethereum transaction networks.

Two randomised, blinded, multi-centre field studies were conducted in Europe (Germany, Italy, France, Hungary) to demonstrate the efficacy and safety of three monthly applications of a new spot-on formulation of selamectin plus sarolaner (Stronghold Plus, Zoetis) against natural flea or tick infestations in cats presented as veterinary patients. The spot-on formulation was administered at the commercial dose range of 6.0-12.0mg selamectin and 1.0-2.0mg sarolaner per kg bodyweight. In the flea study, the improvement in clinical signs associated with flea allergy dermatitis (FAD) was also monitored. Imidacloprid plus moxidectin (Advocate for Cats, Bayer) and fipronil (Frontline Spot on, Merial) were used as positive control products in the flea and tick studies, respectively. Treatments were administered on Days 0, 30 and 60. Efficacy was calculated based on the mean percent reduction of live parasite counts on post-treatment days 14, 30, 60 and 90 versus the pre-treatment count on Day 0. Non-inferiority of selamectin/sarolaner to the control products was assessed at each time-point using a non-inferiority margin of 15% at the one-sided 0.025 significance level. Cats were enrolled in a 2:1 ratio (selamectin/sarolaner:comparator). In the flea study, 277 cats were assessed for efficacy and safety, and an additional 170 cats were assessed for safety only. On days 14, 30, 60 and 90, efficacy against fleas was 97.4%, 97.3%, 98.8% and 99.4% in the selamectin/sarolaner-treated group and was 90.0%, 83.6%, 87.7% and 96.3% in the imidacloprid/moxidectin-treated group, respectively. Selamectin/sarolaner was non-inferior to imidacloprid/moxidectin at all time-points. For the 16 cats identified as having FAD at enrolment, clinical signs related to FAD improved following treatment administration. In the tick study, 200 cats were assessed for efficacy and safety, and a further 70 cats were assessed for safety only. Four tick species were identified. Overall efficacy against ticks was 96.7%, 92.6%, 98.8% and 99.5% in the selamectin/sarolaner-treated group and was 90.2%, 74.6%, 83.0% and 93.4% in the fipronil-treated group on Days 14, 30, 60 and 90, respectively. Selamectin/sarolaner was non-inferior to fipronil at all time-points, and was superior on Days 30 and 60. There were no serious treatment-related adverse events in any study. Thus, the new spot-on formulation of selamectin plus sarolaner administered at monthly intervals was safe and highly effective against natural infestations of fleas and ticks on cats, and improved clinical signs of FAD.

Recently, a lateral flow assay (LFA) for detection of Leptospira-specific IgM in canine sera became commercially available in Europe. The present study aims to evaluate the diagnostic performance of this assay using canine sera from a collection of diagnostic accessions. Diagnostic sensitivity was assessed by testing 37 acute-phase and 9 corresponding convalescent-phase sera from dogs with a confirmed diagnosis of leptospirosis. Specificity was determined by testing sera from sick dogs with non-leptospiral infections (n=15) and healthy dogs with incomplete history of vaccination (n=45). During acute phase of illness, LFA scored positive for 28/37 sera with a sensitivity of 75.7 per cent while only 9/37 (24.3 per cent) samples were positive on microscopic agglutination test. The specificity of the LFA was 98.3 per cent (59/60). This test showed 89.7 and 100 per cent overall agreements with clinical diagnosis for acute-phase and convalescent-phase sera, respectively. The impact of vaccination on the LFA was also determined and vaccine-stimulated IgM responses were negative in 19/25 (76 per cent) dogs at 12 weeks post vaccination. In conclusion, the LFA is a rapid and reliable test for early detection of Leptospira-specific IgM during acute phase of canine leptospirosis. However, interpretation of a positive result must be made in the context of clinical signs and vaccination history.

Background: Knowledge of the subcellular localization of a protein can provide useful insights about its function. While the subcellular localization of many alphaherpesvirus UL51 proteins has been well characterized, little is known about where duck enteritis virus (DEV) UL51 protein (pUL51) is targeted to. Thus, in this study, we investigated the subcellular localization and distribution of DEV pUL51 by computer aided analysis, as well as indirect immunofluorescence (IIF) and transmission immunoelectron microscopy (TIEM) approaches in DEV-infected cells.

A rapid IgM-detection immunochromatographic test (WITNESS® Lepto, Zoetis) has recently become available to identify acute canine leptospirosis at the point of care. Diagnostic sensitivity and specificity of the test were evaluated by comparison with the microscopic agglutination assay (MAT), using a positive cut-off titer of ≥800. Banked serum samples from dogs exhibiting clinical signs and suspected leptospirosis were selected to form three groups based on MAT titer: (1) positive (n = 50); (2) borderline (n = 35); and (3) negative (n = 50). Using an analysis to weight group sizes to reflect French prevalence, the sensitivity and specificity were 98% and 93.5% (88.2% unweighted), respectively. This test rapidly identifies cases of acute canine leptospirosis with high levels of sensitivity and specificity with no interference from previous vaccination.

The efficacy of a new spot-on formulation of selamectin/sarolaner was evaluated against induced Otodectes cynotis infestations in cats in two randomized, blinded studies. Fourteen and 16 cats were randomly assigned to treatment groups in Studies 1 and 2, respectively. On Day 0, animals were either treated with placebo or with the spot-on formulation at the minimal dose of 6.0mg selamectin and 1.0mg sarolaner per kg bodyweight. Treatments were administered topically at the base of the neck. Presence of live mites was evaluated 14days after treatment administration by otoscopic examination and total live mite counts (adults plus immature) were conducted on Day 30 by ear lavage. Efficacy was calculated based on the reduction of mean total live mite counts on Day 30 in the selamectin/sarolaner-treated group versus the placebo-treated group. There were no treatment-related adverse reactions during the studies, apart from one cat in each treatment group with alopecia at the administration site. In both studies combined, live mites were present on Day 14, in 14 out of 15 cats in the placebo-treated groups and in 2 out of 15 cats in the selamectin/sarolaner-treated groups. On Day 30, the arithmetic mean live mite counts were 576.9 and 875.8 in the placebo-treated groups and 5.8 and 4.7 in the selamectin/sarolaner-treated groups, in Studies 1 and 2, respectively. The live mite counts were significantly (P≤0.0021) lower in the selamectin/sarolaner-treated groups compared to the placebo-treated groups with efficacies of 99.2% and 99.3%, in Studies 1 and 2 respectively. A single administration of a new spot-on formulation of selamectin/sarolaner at the minimum dose was safe and highly efficacious in the treatment of ear mite infestations in cats.

Recently, graph embedding techniques have been widely used in the analysis of various networks, but most of the existing embedding methods omit the network dynamics and the multiplicity of edges, so it is difficult to accurately describe the detailed characteristics of the transaction networks. Ethereum is a blockchain-based platform supporting smart contracts. The open nature of blockchain makes the transaction data on Ethereum completely public and also brings unprecedented opportunities for transaction network analysis. By taking the realistic rules and features of transaction networks into consideration, we first model the Ethereum transaction network as a Temporal Weighted Multidigraph (TWMDG) where each node is a unique Ethereum account and each edge represents a transaction weighted by amount and assigned a timestamp. We then define the problem of Temporal Weighted Multidigraph Embedding (T-EDGE) by incorporating both temporal and weighted information of the edges, the purpose being to capture more comprehensive properties of dynamic transaction networks. To evaluate the effectiveness of the proposed embedding method, we conduct experiments of node classification on real-world transaction data collected from Ethereum. Experimental results demonstrate that T-EDGE outperforms baseline embedding methods, indicating that time-dependent walks and the multiplicity characteristic of edges are informative and essential for time-sensitive transaction networks.