Helminth Parasites of Some Iowa Fishes

Individuals of 16 species of fishes representing the Centrarchidae, Ictaluridae, Catastomidae, Cyprinidae, Percidae, and Serranidae were collected at 8 localities in central and north-central Iowa, and examined for helminth parasites. Thirty-nine parasite species were recovered: 20 Monogenea, 8 Digenea, 3 Cestoda, 4 Acanthocephala, and 4 Nematoda. A new host record is reported for Gyrodactylus machrochiri from Lepomis humilis

Tensin links energy metabolism to extracellular matrix assembly.

The regulation of integrin function is key to fundamental cellular processes, including cell migration and extracellular matrix (ECM) assembly. In this issue, Georgiadou et al. (2017. J. Cell Biol. https://doi.org/10.1083/jcb.201609066) report that the metabolic sensor adenosine monophosphate-activated protein kinase influences tensin production to regulate α5β1-integrin and fibrillar adhesion assembly and thus reveal an important connection between energy metabolism and ECM assembly

Calderwood, L. and Sanchez, C. (2016). Next Steps (formerly known as the Longitudinal Study of Young People in England). Journal of Open Health Data, 4

Next Steps (formerly known as the Longitudinal Study of Young People in England – LSYPE) is a longitudinal study which follows a sample of around 16,000 people born in 1989/1990. Study members were recruited via schools in England when they were aged 13–14 in 2004. They were interviewed annually for seven waves until they were aged 19/20 in 2010. Co-resident parents were also interviewed in the first four waves of the stud

AI ethics: a framework for measuring embodied carbon in AI systems

This paper outlines the ethical implications of AI from a climate perspective. So far, much of the discussion around AI ethics have focused on bias, unexplainable outcomes, privacy and other social impacts of such systems. The role and contribution of AI towards climate change and the ethical implications of its contribution to an unjust distribution of impact on the planet, humans and flora and fauna have not yet been covered in detail within the technical community. Within this paper, we aim to raise some of the issues of AI associated with climate justice and we propose a framework that will allow the AI and ICT industries to measure their true impact on the planet, propose an organisational structure to take this work forward and propose future research areas for this important topic

An evaluation of information sharing schemes to identify what motivates fishers to share catch information

Funding This work has been funded by Science Foundation Ireland through a Starting Investigator Research grant number 18/SIRG/5554.Peer reviewedPublisher PD

Integrating Multiple Sources of Knowledge for the Intelligent Detection of Anomalous Sensory Data in a Mobile Robot

For service robots to expand in everyday scenarios they must be able to identify and manage abnormal situations intelligently. In this paper we work at a basic sensor level, by dealing with raw data produced by diverse devices subjected to some negative circumstances such as adverse environmental conditions or difficult to perceive objects. We have implemented a probabilistic Bayesian inference process for deducing whether the sensors are working nominally or not, which abnormal situation occurs, and even to correct their data. Our inference system works by integrating in a rigorous and homogeneous mathematical framework multiple sources and modalities of knowledge: human expert, external information systems, application-specific and temporal. The results on a real service robot navigating in a structured mixed indoor-outdoor environment demonstrate good detection capabilities and set a promising basis for improving robustness and safety in many common service tasks.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech