Architecture framework of IoT-based food and farm systems: A multiple case study

The Internet of Things (IoT) is expected to be a real game changer in food and farming. However, an important challenge for large-scale uptake of IoT is to deal with the huge heterogeneity of this domain. This paper develops and applies an architecture framework for modelling IoT-based systems in the agriculture and food domain. The framework comprises a coherent set of architectural viewpoints and a guideline to use these viewpoints to model architectures of individual IoT-based systems. The framework is validated in a multiple case study of the European IoF2020 project, including different agricultural sub sectors, conventional and organic farming, early adopters and early majority farmers, and different supply chain roles. The framework provides a valuable help to model, in a timely, punctual and coherent way, the architecture of IoT-based systems of this diverse set of use cases. Moreover, it serves as a common language for aligning system architectures and enabling reuse of architectural knowledge among multiple autonomous IoT-based systems in agriculture and food

IOF2020: Fostering business and software ecosystems for large-scale uptake of IoT in food and farming

The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations

Intracoronary trimetazidine does not improve recovery of regional function in a porcine model of repeated ischemia

We evaluated the effect of trimetazidine (TMZ) on recovery of regional cardiac function in anesthetized open-chest pigs, subjected to fifteen 2-minute occlusions of the left anterior descending coronary artery, separated by 2 minutes of reperfusion and a 120-minute recovery period. Regional myocardial function was evaluated by sonomicrometry-derived segment lengthening and the area enclosed by the left ventricular pressure-segment length loop (external work, EW) in animals, which received either an intracoronary infusion of TMZ (33 μg/kg/min, n=6) or saline (1 ml/min, n=7), starting 15 minutes before the first occlusion and ending 2 minutes after the 15th occlusion. In addition, myocardial malondialdehyde production to evaluate oxygen free radical production, oxygen consumption, and the ATP, ADP, and AMP content, as well as the energy charge, were determined at regular time intervals. In control pigs the sequences of occlusion-reperfusion did not affect systemic hemodynamics, except for the LVdP/dtmax, which decreased by 11% during the interventions and did not recover during the following reperfusion period of 2 hours (78% of baseline, p<0.05). Systolic segment length shortening and EW were increased at the end of the first occlusion-reperfusion cycle, decreased gradually during the remainder of the occlusion-reperfusion periods, and did not improve during the recovery period. Energy charge and myocardial blood flow were not impaired, but oxygen consumption was decreased during the recovery period. The malondialdeyde data did not provide evidence for production of oxygen free radicals. TMZ decreased LVdP/dtmax by 6% (p<0.05) and caused a twofold increase in postsystolic segment shortening (p<0.05) before the first occlusion, but did not influence the hemodynamic responses, the changes in regional cardiac function, and the metabolic events produced by repetitive regional ischemia

The effect of selective serotonin reuptake inhibitors on fear learning:: a systematic review and meta-analysis

Selective serotonin reuptake inhibitors (SSRIs) are the first choice of treatment for anxiety-like disorders such as panic disorder, generalized anxiety disorder and post-traumatic stress disorder. Fear learning plays an important role in the etiopathology of these disorders. However, it is unclear if and which fear learning processes are affected by SSRIs. This systematic review investigated the effect of six clinically effective SSRIs on the fear learning processes acquisition, expression and extinction. Since SSRIs have been shown to effectively treat anxiety-like disorders, the results of this systematic review could provide insight into which fear learning processes are important to include in future research regarding the development and treatment of anxiety-like disorders. A systematic search in the Medline and Embase databases yielded 128 articles that met the inclusion criteria. Of these articles 120 were eligible for the meta-analysis. Data regarding the study subjects, intervention, experimental design and size and direction of the effects were extracted. Meta-analysis was conducted in R, the R-package metafor [1] was used to estimate the overall effect size, using a random-effects model. Five categorical predefined moderators were coded to account for between-studies heterogeneity (type of SSRI, duration of treatment, disease induction, species, type of test). The effect of these moderators was analysed with a Bayesian penalized meta-regression (BRMA) which is a new method. This analysis was carried out with the pema R-package [2]. The meta-analysis showed that SSRIs significantly reduced contextual fear expression and facilitated extinction learning to cue. Bayesian penalized meta-regression further suggested that chronic treatment with SSRIs is associated with stronger anxiolytics effects on cued fear expression than acute treatment. Other variables, including type of SSRI, species, disease induction and type of test, did not seem to moderate the effect of SSRIs This systematic review suggests that the clinical efficacy of SSRIs may be specifically related to their effects on fear expression and extinction, rather than fear acquisition. It could be that the effects of SSRIs on these fear processes are due to general inhibition of fear-related emotions. Therefore, it would be interesting to investigate how SSRIs affect other forms of anxiety, such as unconditioned fear responses. In addition, studies aimed at explaining the sources of the high levels of heterogeneity observed in our meta-analyses could help to optimise the experimental set-up to further investigate the mechanisms underlying fear learning. In order to gain more insight in how the effects of SSRIs on these processes contribute to the anxiolytic effects seen in the clinic, it would be valuable to conduct studies that use experimental designs that allow us to selectively evaluate the effects of SSRIs on fear extinction. This experimental data is interesting to obtain since various exposure therapies in patients are based on promoting extinction. Furthermore, we want to encourage fellow researchers to consider using BRMA when working with a dataset with small sample sizes containing high levels of multicollinearity to avoid overestimation of effects

Substrate specificity of a long-chain alkylamine-degrading Pseudomonas sp isolated from activated sludge

A bacterium strain BERT, which utilizes primary long-chain alkylamines as nitrogen, carbon and energy source, was isolated from activated sludge. This rod-shaped motile, Gram-negative strain was identified as a Pseudomonas sp. The substrate spectrum of this Pseudomonas strain BERT includes primary alkylamines with alkyl chains ranging from C3 to C18, and dodecyl-1,3-diaminopropane. Amines with alkyl chains ranging from 8 to 14 carbons were the preferred substrates. Growth on dodecanal, dodecanoic acid and acetic acid and simultaneous adaptation studies indicated that this bacterium initiates degradation through a Calkyl–N cleavage. The cleavage of alkylamines to the respective alkanals in Pseudomonas strain BERT is mediated by a PMS-dependent alkylamine dehydrogenase. This alkylamine dehydrogenase produces stoichiometric amounts of ammonium from octylamine. The PMS-dependent alkylamine was found to oxidize a broad range of long-chain alkylamines. PMS-dependent long-chain aldehyde dehydrogenase activity was also detected in cell-free extract of Pseudomonas strain BERT grown on octylamine. The proposed pathway for the oxidation of alkylamine in strain BERT proceeds from alkylamine to alkanal, and then to the fatty acid

Acquisition of Ca2+ and HCO3−/CO32− for shell formation in embryos of the common pond snail Lymnaea stagnalis

Embryos of the freshwater common pond snail Lymnaea stagnalis develop to hatch within 10 days under control conditions (22°C, Miami-Dade tap water) and this development is impaired by removal of ambient calcium. In contrast, embryos did not exhibit dependence upon an ambient HCO3−/CO32− source, developing and hatching in HCO3−/CO32−-free water at rates comparable to controls. Post-metamorphic, shell-laying embryos exhibited a significant saturation-type calcium uptake as a function of increasing ambient calcium concentration. However, changes in ambient bicarbonate concentration did not influence calcium or apparent titratable alkalinity uptake. There was a distinct shift from no significant flux in pre-metamorphic embryos to net uptake of calcium in post-metamorphic stages as indicated by an increased uptake from the micro-environment surrounding the egg mass and increased net uptake in 24-h, whole egg mass flux measurements. Furthermore, HCO3−/CO32− acquisition as measured by titratable alkalinity flux is at least partially attributable to an endogenous carbonate source that is associated with acid extrusion. Thus, calcium requirements for embryonic shell formation are met via uptake but HCO3−/CO32−, which is also necessary for shell formation is acquired in part from endogenous sources with no detectable correlation to ambient HCO3−/CO32− availability

Loneliness, cumulative inequality and social capital in later life: Two stories

The potential impact of cumulative inequality upon loneliness in later life is under-researched. This study applies Ferraro and Shippee’s axioms of cumulative inequality to the narratives of two Northern Irish older women, who completed semi-structured diary entries over a 16-week period, recording and reflecting on their social lives and their personal histories. The two women were subsequently interviewed on the basis of what they had recorded. These stories reveal how the life trajectories of these two individuals are influenced by the different experiential impact of bonding and bridging social capital. Despite similar life experiences, significant and substantial differences emerged in the women’s stories, relating to work life, social class, the restrictions of a caring role, and physical and mental health. These two narratives not only provide evidence of the impact of cumulative inequality on loneliness but also highlight the lifetime impact of socio-economic status and access to capital affecting older women’s vulnerability to loneliness

Digital technology enablers for resilient and customer driven food value chains

Food production chains have to respond to disrupted global markets and dynamic customer demands. They are coming under pressure to move from a supply to a demand-driven business model. The inherent difficulties in the lifecycle management of food products, their perishable nature, the volatility in global and regional supplier and customer markets, and the mix of objective and subjective drivers of customer demand and satisfaction, compose a challenging food production landscape. Businesses need to navigate through dynamically evolving operational risks and ensure targeted performance in terms of supply chain resilience and agility, as well as transparency and product assurance. While the industrial transition to digitalised and automated food production chains is seen as a response to such challenges, the contribution of industry 4.0 technology enablers towards this aim is not sufficiently well understood. This paper outlines the key features of high performing food production chains and performs a mapping between them and enabling technologies. As digitalisation initiatives gain priority, such mapping can help with the prioritisation of technology enablers on delivering key aspects of high performing food production chains