Search results for " Modelling"
showing 10 items of 1055 documents
Disparities in nutritional adequacy of diets between different socioeconomic groups of Finnish adults
2022
Information on dietary adequacy is needed to assess food and nutrition security in a modern society, especially in the transition towards climate-friendly food systems. In this study, differences in the nutritional adequacy of diets among Finnish adults were evaluated in population groups of different education, income and urbanisation levels. The study used data from the FinDiet 2017 Survey (n = 1655, 18–74 years). Modelled usual intakes of foods and nutrients were evaluated relative to food-based dietary guidelines issued by the National Nutrition Council of Finland (FNNC) and with respect to nutrient adequacy following the Nordic Nutrition Recommendations and FNNC. For about half of the …
Does self‐compassion help to deal with dietary lapses among overweight and obese adults who pursue weight‐loss goals?
2021
Objectives Self-compassion can facilitate self-improvement motivation. We examined the effects of self-compassion in response to dietary lapses on outcomes relevant to weight-loss strivings using a longitudinal design. The indirect effects of self-compassion via guilt and shame were also explored. Design An Ecological Momentary Assessment methodology was employed with a sample of adults who were overweight or obese attempting to lose weight via dietary restriction (N = 56; Mage = 34.88; SD = 13.93; MBMI = 32.50; SD = 6.88) and who responded to brief surveys sent to their mobile phones twice daily for two weeks. Methods Dietary temptations and lapses were assessed at each diary entry, and se…
The Artificial Society Analytics Platform
2020
Author's accepted manuscript Social simulation routinely involves the construction of artificial societies and agents within such societies. Currently there is insufficient discussion of best practices regarding the construction process. This chapter introduces the artificial society analytics platform (ASAP) as a way to spark discussion of best practices. ASAP is designed to be an extensible architecture capable of functioning as the core of many different types of inquiries into social dynamics. Here we describe ASAP, focusing on design decisions in several key areas, thereby exposing our assumptions and reasoning to critical scrutiny, hoping for discussion that can advance debate over be…
Computational Science of Religion
2021
This article provides a basic overview of the most common methods of computer modelling and simulation that are currently being used to study religion. It focuses on the use (and illustrates the value) of system dynamics models, agent-based models, including game theory and multi-agent artificial intelligence models, and artificial neural networks. General use case examples are provided, and considerations for future research are discussed. We conclude by encouraging scholars interested in religion and related fields to incorporate techniques from the computational science of religion into their collaborative methodological toolkits.
Do editors have a silver bullet? an agent-based model of peer review
2014
This paper presents an agent-based model of peer review that looks at the effect of different editorial policies of referee selection. We tested four author/referee matching scenarios as follows: random selection of referees, selection of referees with a similar status to submission authors, selection of higher-skilled and lower skilled referees. We tested these scenarios against three types of referee behaviour, i.e., fair, unreliable and strategic and measured their implications for the quality and efficiency of the process. Results show that in case of randomness of referee judgment, any editorial policy is detrimental for peer review. If referees behave strategically, certain matching p…
Triggering collective action for bio-energy supply chain through contract schemes
2016
This paper discusses contractual features to manage and coordinate a hypothetical bio-energy supply chain. The present study focuses on farmers operating in two Regions of Italy, namely Sicily and Campania, somewhat representative of areas with high potential of investments in new bioenergy supply value chain. Farmers were asked to choose whether to participate or not in a collective investment regulated by contract schemes. Monetary trade-offs were then computed among contract attributes. A specific questionnaire was submitted to a sample of farmers selected on the basis of their potential capability of investments. A stated preference modelling approach was implemented so that farmers cou…
Modelling of FRP and FRCM-Confined Masonry Columns: Critical Review for Design and Intervention Strategies
2022
This paper presents a critical review of the most established analytical models for the prediction of the compressive strength of FRP and FRCM-confined masonry columns. In particular, two types of fibres are analysed, i.e. glass and basalt. A wide dataset available in the literature is used for the application of the analytical models and for the development of parametric analyses useful for the critical comparison of FRP vs. FRCM confinement technique and glass vs. basalt fibres to be adopted as reinforcement of masonry substrate. The effects of stiffness and strength of the reinforcement, the number of reinforcing layers, the compressive strength of masonry and the cross-section shape are…
Data from: Parallel diversifications of Cremastosperma and Mosannona (Annonaceae), tropical rainforest trees tracking Neogene upheaval of South Ameri…
2017
Much of the immense present day biological diversity of Neotropical rainforests originated from the Miocene onwards, a period of geological and ecological upheaval in South America. We assess the impact of the Andean orogeny, drainage of lake Pebas, and closure of the Panama Isthmus on two clades of tropical trees (Cremastosperma, c. 31 spp.; and Mosannona, c. 14 spp.; both Annonaceae). Phylogenetic inference revealed similar patterns of geographically restricted clades and molecular dating showed diversifications in the different areas occurred in parallel, with timing consistent with Andean vicariance and Central American geodispersal. Ecological niche modelling approaches show phylogenet…
Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models
2022
Aquaponic systems provide a reliable solution to grow vegetables while cultivating fish (or other aquatic organisms) in a controlled environment. The main advantage of these systems compared with traditional soil-based agriculture and aquaculture installations is the ability to produce fish and vegetables with low water consumption. Aquaponics requires a robust control system capable of optimizing fish and plant growth while ensuring a safe operation. To support the control system, this work explores the design process of Deep Learning models based on Recurrent Neural Networks to forecast one hour of pH values in small-scale industrial Aquaponics. This implementation guides us through the m…
The Windy clustered prize-collecting arc-routing problem
2011
This paper introduces the windy clustered prize-collecting arc-routing problem. It is an arc-routing problem where each demand edge is associated with a profit that is collected once if the edge is serviced, independent of the number of times the edge is traversed. It is further required that if a demand edge is serviced, then all the demand edges of its component are also serviced. A mathematical programming formulation is given and some polyhedral results including several facet-defining and valid inequalities are presented. The separation problem for the different families of inequalities is studied. Numerical results from computational experiments are analyzed. © 2011 INFORMS.