This work presents the results of studying the molecular characteristics of parasitic tapeworms Echinococcus canadensis. The helminths were discovered during the autopsy of a wolf (Canis lupus Linnaeus, 1758) killed by hunters in the Kirov oblast in 2021. A molecular phylogenetic study was performed by analyzing the sequence of a fragment of the first subunit of the mitochondrial cytochrome oxidase gene (CoxI). It was found that the detected echinococci belong to the G10 genotype of E. canadensis, which is common in wolves in the northern territories of the Holarctic. We discovered four positions at which the substitutions characteristic only of this genotype are revealed. A substitution at one of the positions that is characteristic exclusively for the representatives of the G10 genotype found in Russia and Finland was also discovered.

Recent studies suggest that networks among firms (sectors) play a vital role in asset pricing. This paper investigates these implications and develops a novel end-to-end graph neural network model for asset pricing by combining and modifying two state-of-the-art machine learning techniques. First, we apply the graph attention mechanism to learn dynamic network structures of the equity market over time and then use a recurrent convolutional neural network to diffuse and propagate firms\' information into the learned networks. This novel approach allows us to model the implications of networks along with the characteristics of the dynamic comovement of asset prices. The results demonstrate the effectiveness of our proposed model in both predicting returns and improving portfolio performance. Our approach demonstrates persistent performance in different sensitivity tests and simulated data. We also show that the dynamic network learned from our proposed model captures major market events over time. Our model is highly effective in recognizing the network structure in the market and predicting equity returns and provides valuable market information to regulators and investors.

The role of energy and natural resources rent has been studied in the literature but very few research works investigated the impacts of economic policy uncertainty and energy structure on ecological footprints (EFs) in the group of ten G-10 countries. Therefore, this research is designed to probe the impacts of economic policy uncertainty (EP), natural resources rent, energy structure, economic growth, and total factor productivity on EF. The annual data for 1995-2018 is analyzed by adopting second-generation methods. The empirical results from the CS-ARDL unveiled that EP is significantly and positively related to EF, indicating that EP is not environmentally friendly in these nations. A 1% increase in EP contributes to EF by 0.025% in the long run. In addition, the results show that natural resource rents and energy structure positively contribute to mitigating EF by 0.012% and 0.095% respectively, while economic growth increases EF by 0.237%. Based on the empirical results, this work suggests addressing the economic policy uncertainty and economic progress to lower ecological deprivation can be a viable solution to attain sustainable development goals. This work recommends adopting feasible economic policies with sound efforts. For this purpose, the economic sector has to be strong enough with sustainable production. They should ensure the supply of continuous renewable energy to the economic sector.

The belief that investors shift to gold during times of economic stress, resulting in a negative correlation between gold returns and stock returns, is not supported in both the 2007-09 financial crisis and during COVID-19. However, the gold-stock market relationship is positive in periods of negative real rates of return. The evidence points to gold as a safe haven in times of stock market volatility and negative interest rates.

Ontario introduced a universal publicly-funded group A rotavirus (RVA) immunization program in August 2011, using monovalent vaccine. RVA immunization programs have decreased the incidence of RVA acute gastroenteritis in many countries but it is unclear if it will contribute to the emergence of certain genotypes. We monitored RVA trends and genotypes in Ontario before and after implementation of the publicly-funded immunization program.
RVA detection was conducted at Public Health Ontario Laboratories from January 2009 to December 2011 (pre-program period) and January 2012 to October 2015 (publicly-funded RVA immunization program period) and number of RVA-positive specimens and percent positivity were analysed. A convenience sample of RVA-positive stool specimens, from September 2010 to December 2011 (pre-program period) and January 2012 to June 2013 (program period), were genotyped using heminested PCR. A literature review on the burden of illness from emergent genotype was performed.
Stool specimens showed a significant decrease in RVA percent positivity from the 36 month pre-program period (14.4%; 1537/10700) to the 46 month program period (6.1%; 548/9019). An increase in the proportion of RVA G10 among genotyped specimens, associated with five different P genotypes, from the pre-program (6.3%; 13/205) to the program (31.5%; 40/127) period was observed. Our literature review identified approximately 200 G10-positive human stool specimens from 16 different countries.
This study documented a decrease in the number of RVA-positive specimens and percent positivity after implementation of the immunization program. An unexpected increase in the proportion of RVA G10 was detected following program introduction. Ongoing RVA surveillance is important in evaluating both the long-term impact of immunization and emergence of RVA genotypes.