DNA wrapping around MWNTs and graphene: a SERS study

In recent years, carbon nanostructure as nanotubes (CNTs) and graphene are at the centre of a significant research effort due to the strong scientific and technological interest because of their unique physical and chemical properties: large surface area, excellent thermal and electric conductivity, high electron transfer kinetics and strong mechanical strength. Recently, a great attention has been paid to the interaction of DNA with carbon-based nanostructures such as C60, multiwalled-nanotubes (MWNTs), single-walled nanotubes (SWNTs) and graphene. The development of these studies is motivated by a wide spectrum of possible use of these materials e.g. as biosensors, drug delivery agents and diagnosis tools. In this work, we applied surface-enhanced Raman spectroscopy (SERS) to the study of DNA/MWNTs and DNA/graphene systems

Multi-Agent Systems

This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019

Numerical modelling of wave propagation phenomena in thermo-poroelastic media via discontinuous Galerkin methods

We present and analyze a high-order discontinuous Galerkin method for the space discretization of the wave propagation model in thermo-poroelastic media. The proposed scheme supports general polytopal grids. Stability analysis and $hp$-version error estimates in suitable energy norms are derived for the semi-discrete problem. The fully-discrete scheme is then obtained based on employing an implicit Newmark-$\beta$ time integration scheme. A wide set of numerical simulations is reported, both for the verification of the theoretical estimates and for examples of physical interest. A comparison with the results of the poroelastic model is provided too, highlighting the differences between the predictive capabilities of the two models

Lower Eyelid Orbicularis Oculi Myocutaneous Flap: A Feasible Technique for Full Thickness Upper Eyelid Reconstruction

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Malignant Glomus Tumour: A Case Report and Review of the Literature

Purpose: Glomus tumours are characteristically benign solitary tumours. At our knowledge, about 23 reports are present in literature regarding the malignant counterpart, but only a minority developed metastases. We describe a locally aggressive glomus tumour with lymphnode metastasis

Sensitive Detection and Quantification of Anisakid Parasite Residues in Food Products

Anisakids are nematodes whose larval stages are often present in fish, molluscs, and crustaceans. Members of the family Anisakidae belonging to the genera Anisakis and Pseudoterranova are implicated in human infections caused by the consumption of raw or undercooked fish. Adequate cooking will kill anisakid larvae, however, killed or inactivated larvae can still cause sensitization and immunoglobulin E-dependent hypersensitivity in human. This work describes the development of DNA-based tests to detect and quantify the presence of Anisakis spp. and Pseudoterranova spp. larvae in fish and fish-derived products, including fish fillets, surimi, fish sticks, canned fish, and baby food. Primers and TaqMan MGB probes recognizing only Anisakis spp. and Pseudoterranova spp. were designed on the first internal transcribed spacer 1 regions of rDNA for a real-time polymerase chain reaction assay. A commercial probe for 18S rDNA was used to detect and quantify the total eukaryotic DNA of the samples. The specificity and sensitivity of the assays were tested using reference samples prepared from mixtures made of Anisakis larvae in different quantity of codfish, and subsequent dilutions. Studies were performed to assess the ability of the test to detect and quantify anisakids in various products. Results showed that this test is able to detect anisakid DNA contained in a proportion of 1:10(5) in 1 ng of total DNA. The high prevalence of anisakids reported in main fishery species was confirmed by frequently detecting anisakids DNA in fish muscle and fish-derived products. A partial correlation was found between the number of larvae present in the viscera and the level of contamination of fish fillets. In conclusion, this molecular test is useful to detect the presence of Anisakis spp. and Pseudoterranova spp. in fish and fish-derived products and to quantify the level of contamination along the food chain, with potential applications for fish farms, fish markets, and food producers

Consumers and Artificial Intelligence:An Experiential Perspective

Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-activated virtual assistants. However, although AI can be seen as a neutral tool to be evaluated on efficiency and accuracy, this approach does not consider the social and individual challenges that can occur when AI is deployed. This research aims to bridge these two perspectives: on one side, the authors acknowledge the value that embedding AI technology into products and services can provide to consumers. On the other side, the authors build on and integrate sociological and psychological scholarship to examine some of the costs consumers experience in their interactions with AI. In doing so, the authors identify four types of consumer experiences with AI: (1) data capture, (2) classification, (3) delegation, and (4) social. This approach allows the authors to discuss policy and managerial avenues to address the ways in which consumers may fail to experience value in organizations’ investments into AI and to lay out an agenda for future research

Using SNP array data to test for host genetic and breed effects on Porcine Reproductive and Respiratory Syndrome Viremia

<p>Abstract</p> <p>Background</p> <p>The effect of breed on Porcine Reproductive and Respiratory Syndrome Viremia (PRRSV) was tested using data collected in 17 Italian commercial pig farms and 1096 genotypes obtained by the PorcineSNP60 BeadChip. A binomial logistic model was used to investigate the relationship between breed-clusters and PRRSV susceptibility. Breed-clusters were defined using the matrix of genomic kinship between all pairs of piglets.</p> <p>Results</p> <p>Only the contemporary group effect, defined as all piglets reared in the same herd, in the same year and whose samples were collected in the same season, was significant. Sex, age and breed-cluster showed no statistically significant effect on PRRS viremia, although the Landrace and Cross breed-clusters showed the lowest Odds-Ratio</p> <p>Conclusions</p> <p>The model failed to detect a significant breed-cluster effect, highlighting the impact of environment and management on PRRS viremia incidence. Incomplete exposure over the observed period may have masked possible breed differences.</p

Ab Initio Electronic Gaps of Ge Nanodots: The Role of Self-Energy Effects

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