scholarly journals The typology of parricide and the role of mental illness: Data‐driven approach

2020 ◽  
Vol 46 (6) ◽  
pp. 516-522
Author(s):  
Lana Bojanić ◽  
Sandra Flynn ◽  
Myrsini Gianatsi ◽  
Navneet Kapur ◽  
Louis Appleby ◽  
...  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Richard R. Rodrigues ◽  
Manoj Gurung ◽  
Zhipeng Li ◽  
Manuel García-Jaramillo ◽  
Renee Greer ◽  
...  

AbstractWestern diet (WD) is one of the major culprits of metabolic disease including type 2 diabetes (T2D) with gut microbiota playing an important role in modulating effects of the diet. Herein, we use a data-driven approach (Transkingdom Network analysis) to model host-microbiome interactions under WD to infer which members of microbiota contribute to the altered host metabolism. Interrogation of this network pointed to taxa with potential beneficial or harmful effects on host’s metabolism. We then validate the functional role of the predicted bacteria in regulating metabolism and show that they act via different host pathways. Our gene expression and electron microscopy studies show that two species from Lactobacillus genus act upon mitochondria in the liver leading to the improvement of lipid metabolism. Metabolomics analyses revealed that reduced glutathione may mediate these effects. Our study identifies potential probiotic strains for T2D and provides important insights into mechanisms of their action.


2019 ◽  
Vol 17 (3) ◽  
pp. 317-332
Author(s):  
Agata Klimczak-Pawlak

Pragmatic competence in L2 English is claimed here to be crucial for successful communication in a variety of communicative contexts across Europe. However, due to language background, cultural and identity differences among users of English, there is a need for reflection and data-driven examination of how the language is used in specific situations. This paper adopts a cross-cultural perspective on the study of the use of English in the European Union with focus on its role in tourism. The role of English as the language of communication in Europe is discussed, followed by a proposal as to the way in which its actual usage can be studied. The data-driven approach to pragmatic behavior is advocated as the basis for the development of pragmatic competence in learners of English with focus on those who wish to engage in tourism.


2019 ◽  
Vol 250 ◽  
pp. R47-R53
Author(s):  
Tim Besley ◽  
Richard Davies

Executive SummaryAlongside the challenge of maintaining economic competitiveness in the face of great uncertainty, Brexit brings an opportunity for the government to set out a new industrial strategy. The case for doing so rests on the need to address areas of persistent structural weakness in the UK economy, including low productivity. But it is important that any new industrial strategy be based on appropriately granular data reflecting the real structure of the UK corporate sector: the overwhelmingly preponderant role of services as opposed to manufacturing, for example; the importance of young, fast-growing firms as opposed to SMEs; the relatively high failure rate of companies in the UK; and the relative lack of successful mid-sized firms. Such a data-driven approach might spawn an industrial strategy quite different from the piecemeal programmes of recent years.Internationally, the UK is a laggard in this area, and the recently-created Industrial Strategy Council does not look strong enough to change that position. To move forward, the government needs to make industrial strategy a central plank of economic policy, embedded at the heart of the administration with its own staff and funding, and operations based on a comprehensive review of the economic contribution and potential of various types of firm. Needless to say, it cannot be a substitute for a continuing commitment to competition and markets, or a stalking horse for protectionism: interventions should be justified by carefully-argued market failure arguments, be time-limited, and transparently evaluated.


Author(s):  
Maribel Tercedor Sánchez ◽  
Alicia Casado Valenzuela

Understanding the role of mental images and embodiment in metaphorical thought is fundamental to the study of metaphor in science in general, and in medicine in particular. And analysing typologies of metaphorical images and their function is a key issue in assessing their success in disseminating knowledge, since knowledge construction depends on the interaction between verbal and visual information (Ketola, 2016). In this article, we describe the premises and methodological steps followed in analysing and describing visual metaphorical information in medical texts for lay audiences. We follow a data-driven approach in which images were extracted from the VariMed database, a multimodal terminographical tool for translation, linguistic research and knowledge dissemination. An experiment was carried out to explore how successfully metaphorical images used as illustrations for specific medical concepts were identified and understood. We conclude that metaphorical images were preferred over non-metaphorical illustrations for medical concepts, which may point to lay audiences’ familiarity with metaphorical multimodal references.


2020 ◽  
Vol 1 ◽  
pp. 2089-2098
Author(s):  
T. Montecchi ◽  
N. Becattini

AbstractThe article stems from the main informative gaps of Design for Sustainable Behaviour and discusses the paramount role of a data-driven approach to inform design. The article stresses how quantitative data can address global sustainability, determine behaviours to modify, measure the impact of new learned sustainable behaviours as well as support the definition of behaviour change strategies, widening the spatial and temporal scales to communities and longitudinal studies and reducing unpredictable biases coming from tacit knowledge externalization and interpretation.


Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4076
Author(s):  
Martin Kueppers ◽  
Christian Perau ◽  
Marco Franken ◽  
Hans Joerg Heger ◽  
Matthias Huber ◽  
...  

The decarbonization of energy systems has led to a fundamental change in their topology since generation is shifted to locations with favorable renewable conditions. In planning, this change is reflected by applying optimization models to regions within a country to optimize the distribution of generation units and to evaluate the resulting impact on the grid topology. This paper proposes a globally applicable framework to find a suitable regionalization for energy system models with a data-driven approach. Based on a global, spatially resolved database of demand, generation, and renewable profiles, hierarchical clustering with fine-tuning is performed. This regionalization approach is applied by modeling the resulting regions in an optimization model including a synthesized grid. In an exemplary case study, South Africa’s energy system is examined. The results show that the data-driven regionalization is beneficial compared to the common approach of using political regions. Furthermore, the results of a modeled 80% decarbonization until 2045 demonstrate that the integration of renewable energy sources fundamentally changes the role of regions within South Africa’s energy system. Thereby, the electricity exchange between regions is also impacted, leading to a different grid topology. Using clustered regions improves the understanding and analysis of regional transformations in the decarbonization process.


2020 ◽  
Vol 15 (6) ◽  
pp. 212
Author(s):  
Mara Grimaldi ◽  
Maria Vincenza Ciasullo ◽  
Orlando Troisi ◽  
Paola Castellani

Industry 4.0 is characterized by the key role of new technologies in the development of relationships between companies and their stakeholders. Thus, the most recent theories on service redefine organizations as complex service systems that create and co-create value thanks to the interactions between actors, enhanced by smart technologies and ICTs. In particular, the concept of service systems- introduced in Service Science- seems to be suitable for the exploration of how service design, and the processes of innovation sharing and emergence, can be strengthened thanks to the application of smart technologies. Despite the adoption of a system logic, service systems, and their conceptualization, need to be reinterpreted according to a perspective that applies a total and all-encompassing view to the processes of value generation and to the interpretation of the information and data exchanged (data-driven decision-making). Therefore, the study proposes a conceptual model that integrates the key enabling factors of value co-creation in service systems with the main strategic drivers introduced in data-driven approach to redefine the entire service experience as a service journey. In this continuous information flow, providers, customers and users share and combine data streams, to be turned into relevant information and value, through an integrated and interacting set of touch points that connect the different stages of service creation, delivery and co-creation.


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