Summary report on sensory-related socio-economic and sensory science literature about organic food products

Organic food’s initial attraction to the public was that it was perceived to be healthier and tastier, but scientists and policy makers have mainly stressed the benefits to the environment of organic and sustainable farming. Scientific support for marketing actions addressed to those who want to be healthier and who want to enjoy better taste, and are willing to pay more for these benefits is scarce. Past research has produced little clear evidence about the importance of sensory characteristics such as taste, smell, appearance etc in consumers’ preferences with regard to organic food. The Ecropolis project, funded by the E.U., was set up with the aim of investigating the role of the senses in consumers’ preferences regarding organic food, and leading to research into how best to satisfy those preferences. This deliverable is aimed at providing a solid basis for such research with an in-depth review of, and two reports on, the relevant scientific literature. The first report (Annex I) regards what consumers expect from organic products in terms of taste, smell, appearance, etc and how these expectations are (or are not) met; the second is about the science of the senses (Annex II). The first project tasks included creating and agreeing on a glossary of terms, deciding on search criteria (key words, etc.), setting up a bibliographical data base, preparing then circulating the above-mentioned reports, and finally preparing a summary of the reports. The report on consumers expectations highlights the suggestion that while organic food has traditionally been marketed through specialized retailers, its market share will only grow significantly if it is promoted by multiple retailers. Research literature from all over the world seems to agree in indicating that consumers’ choices are largely motivated by health, the environment, price and social status. Other considerations include ethics, the localness of the product and lifestyle choices. The literature also indicates that the organic market will expand significantly only if consumers are more willing, and able, to recognize quality, but this presents serious issues. When buying the product they cannot personally verify its quality and genuineness and thus must rely on regulation and inspection bodies. The recognition of quality can also be encouraged by effective communication by producers and retailers through appropriate branding, labelling and presentation. There are connections between this information and questions of sense perception, but researchers disagree about how important the latter is in influencing the customer, and in which ways it does so. The following report focuses, in fact, on the science of the senses, which tries to analyze in detail people’s responses to food, despite the many potential pitfalls in carrying out the research which might influence the reliability of the results. There is broad agreement on two points: - there is no proof that organic food is more nutritious or safer, and - most studies that have compared the taste and organoleptic quality of organic andconventional foods report no consistent or significant differences between organic and conventional produce. Therefore, claiming that all organic food tastes different from all conventional food would not be correct. However, among the well-designed studies with respect to fruits and vegetables that have found differences, the vast majority favour organic produce. Organic produce tends to store better and has longer shelf life, probably because of lower levels of nitrates and higher average levels of antioxidants. The former can accelerate food spoilage, while antioxidants help preserve the integrity of cells and some are natural antibiotics. The first conclusion may, however, depend on factors not directly connected to organic farming, such as harvesting and storage methods and the type of land used for growing the food. About the second finding it must be considered that measuring organoleptic quality is difficult and inherently subjective and evaluations may be clouded by the influence of numerous factors on the consumer’s perceptions of the food and not just its appearance and taste. Experimental research indicates that the information that a food is organic confers upon it a “halo effect” (making it seem better sense-wise simply because it is organic) which might make consumers like it more. Ecropolis researchers will analyze in detail which senses are indeed impacted on, and how, and try to match them to consumer needs and expectations in order to be able to offer suggestions for future policy, including how the food is stored, transported and presented, which is also essential for maintaining sensory properties. The workpackage WP1 has also produced a specific report on how organic food sensory aspects are regulated. International standards, with some important exceptions, are largely in line with European ones. Differences in standards usually regard whether there is orientation towards freshness “per se” as opposed to increasing shelf-life, or quality standardization as opposed to quality differentiation. Differences in regulations regard such aspects as ingredients, additives, processing aids and methods, packaging, storage and transport. The lack of harmony among the different regulatory systems often reflects different traditions and market conditions, however, more complicated compliance procedures result in higher costs for importers. Greater homogeneity would not only reduce such costs but would also increase consumer confidence in international standards. Ecropolis will also investigate the effect of different regulations on how people perceive organic goods sense-wise. The work done to date is seen as a starting point for future research aimed at producing practical results in the organic food market. Ecropolis will try to bring together separate strands of research concerning how organic goods are regulated and marketed with regard to taste, appearance, etc., and how consumers themselves are affected by such factors. The aim is to find optimal matches between the two, and thus to greatly increase organic food’s share of the food market

A query language for exploratory analysis of video-based tracking data in padel matches

Recent advances in sensor technologies, in particular video-based human detection, object tracking and pose estimation, have opened new possibilities for the automatic or semi-automatic per-frame annotation of sport videos. In the case of racket sports such as tennis and padel, state-of- the-art deep learning methods allow the robust detection and tracking of the players from a single video, which can be combined with ball tracking and shot recognition techniques to obtain a precise description of the play state at every frame. These data, which might include the court-space position of the players, their speeds, accelerations, shots and ball trajectories, can be exported in tabular format for further analysis. Unfortunately, the limitations of traditional table-based methods for analyzing such sport data are twofold. On the one hand, these methods cannot represent complex spatio-temporal queries in a compact, readable way, usable by sport analysts. On the other hand, traditional data visualization tools often fail to convey all the information available in the video (such as the precise body motion before, during and after the execution of a shot) and resulting plots only show a small portion of the available data. In this paper we address these two limitations by focusing on the analysis of video-based tracking data of padel matches. In particular, we propose a domain-specific query language to facilitate coaches and sport analysts to write queries in a very compact form. Additionally, we enrich the data visualization plots by linking each data item to a specific segment of the video so that analysts have full access to all the details related to the query. We demonstrate the flexibility of our system by collecting and converting into readable queries multiple tips and hypotheses on padel strategies extracted from the literature.Postprint (published version

A Query Language for Exploratory Analysis of Video-Based Tracking Data in Padel Matches

Recent advances in sensor technologies, in particular video-based human detection, object tracking and pose estimation, have opened new possibilities for the automatic or semi-automatic per-frame annotation of sport videos. In the case of racket sports such as tennis and padel, state-of-the-art deep learning methods allow the robust detection and tracking of the players from a single video, which can be combined with ball tracking and shot recognition techniques to obtain a precise description of the play state at every frame. These data, which might include the court-space position of the players, their speeds, accelerations, shots and ball trajectories, can be exported in tabular format for further analysis. Unfortunately, the limitations of traditional table-based methods for analyzing such sport data are twofold. On the one hand, these methods cannot represent complex spatio-temporal queries in a compact, readable way, usable by sport analysts. On the other hand, traditional data visualization tools often fail to convey all the information available in the video (such as the precise body motion before, during and after the execution of a shot) and resulting plots only show a small portion of the available data. In this paper we address these two limitations by focusing on the analysis of video-based tracking data of padel matches. In particular, we propose a domain-specific query language to facilitate coaches and sport analysts to write queries in a very compact form. Additionally, we enrich the data visualization plots by linking each data item to a specific segment of the video so that analysts have full access to all the details related to the query. We demonstrate the flexibility of our system by collecting and converting into readable queries multiple tips and hypotheses on padel strategies extracted from the literature.This research was funded by the Spanish Ministry of Science and Innovation and FEDER funds, grant number PID2021-122136OB-C21, MCIN/AEI/10.13039/501100011033/FEDER, UE

Lesbian Love Sonnets: Adrienne Rich and Carol Ann Duffy

Our conceptualization of sexuality is rooted in gender. Modern, western society defines sexuality as which genders one is and is not attracted to—often appearing as a binary between homosexuality and heterosexuality. Recently, however, queer theorists have begun to push against the idea of binary sexuality altogether. The interplay between gender and sexuality additionally manifests in the history of literature. Because the two are so intimately intertwined, writing about sexuality necessitates writing about gender. Twenty-One Love Poems by Adrienne Rich and Rapture by Carol Ann Duffy are two poetry collections where, as lesbian poets, gender and sexuality play an important role. Both Twenty-One Love Poems and Rapture draw on the tradition of sonnet sequences, a tradition defined by strict structure and gendered power dynamics. As lesbians with female speaker-poets writing about other women, Rich and Duffy both include and subvert themes and tropes, highlighted by their playing with the prescribed structure. Viewing the collections through the lens of sonnet sequences provides an intriguing perspective for examining the depiction of gender and, by extension, sexuality

Analysis of EEC Regulation 2092/91 in relation to other national and international organic standards

This Deliverable 3.2 report presents an analysis of differences between EEC Regulation 2092/91 and other organic standards and their implementation, using a specially developed database (www.organicrules.org). It further reports on database development. The work was carried out as part of the “EEC 2092/91 (Organic) Revision” STREP project (No. SSPE-CT- 2004-502397) within the EU 6th Framework Programme. The main objective was to identify differences in organic standards in relation to Regulation (EEC) 2092/91 and to analyse selected national governmental and private organic standards with the aim of identifying specific areas in the (EEC) 2092/91 where revision in terms of harmonisation, regionalisation or simplification may be possible

Cornish Place-Names in the Landscape

Please refer to the supplementary Excel file entitled "New_Names_test_medieval_settlements.xls" to access the Appendix data.This thesis aims to investigate a sample of the place-names of medieval Cornwall within their landscape contexts, and thereby gain a better understanding of the relationship of the Cornish landscape to how its places were designated during the medieval period. To explore this issue, I have identified six research questions which relate to aspects of the landscape and selected seventeen Cornish place-name elements to analyse in depth. These include eleven lower and higher status commonly used habitative elements, as well as six widespread topographical elements denoting high points, waterways and woodland features throughout Cornwall. Selection criteria brought together categories used in time-depth landscape classification of landscape with types of place-name element considered important by scholars. A case study for each element has been developed to give further detail of typical landscape contexts. The analysis of place-name elements has looked at their respective landscape positions, relative elevation, proximity to watercourses, distribution and intensity, Historic Landscape Characterisation types, dates of first recording, and usual combinations with other types of place-name elements. These aspects of landscape have been drawn together through the medium of layers of a Geographic Information System (GIS) reflecting the interdisciplinary research of landscape archaeologists, place-name experts, historians, geographers, and local studies experts. The GIS is based on an extract from the Cornwall Historic Environment Record dataset covering early medieval and medieval settlements, enhanced with additional fields covering details of placenames, and has been used as an illustrative tool for the analysis. This study demonstrates how place-names reflected the medieval landscape in Cornwall and its dynamic settlement patterns. The distribution of Cornish placenames gives insights into the naming practices used during the medieval period in Brittonic-speaking regions in relation to their landscape contexts

Pseudo-intelectualismo y melancolía. La poética de la bilis negra en el Lexífanes de Luciano

En el mundo altamente competitivo y exhibicionista de Luciano, el hiper-aticismo, el (ab)uso de palabras recónditas y arcaicas a fin de impactar deviene en una especie de plaga. En este artículo discuto cómo el Lexífanes se centra precisamente en las asociaciones literales y metafóricas del hiperaticismo como una enfermedad, prestando especial atención al dictamen médico -articulado en el texto por el doble del autor, Licinio-, según el cual el personaje epónimo del diálogo sufre de melancolía. En lugar de constituir una referencia de pasada al vocabulario coloquial de la locura, la melancolía -sostengo- ayuda a Luciano a asimilar a la fuerza la acumulación de palabras pretenciosas para el desvarío de un loco, un parloteo no sensitivo carente de significado. Al mismo tiempo, Luciano también pretende exponer la presencia de la melancolía en el lenguaje cultural y médico de su época como una enfermedad que de manera especial afecta a los “grandes espíritus”, a las personas de inteligencia excepcional. Al llamar a Lexífanes ‘melancólico’, Luciano reprende la pretensión de Lexiphanes a la vez como hiper-aticista y, no menos importante, como pseudointelectual que está configurando su imagen pública, temperamental y fisiológicamente, como un genio cuya atrabiliaria conformación le permite actuar y hablar en modos extraños.In Lucian’s highly competitive and exhibitionist world, hyper-Atticism, the (ab)use of recondite, archaic words for the sake of impression, has become a sort of plague. In this article, I discuss how Lexiphanes focuses precisely on the literal and metaphorical associations of hyper-Atticism as a disease, by paying particular attention on the medical verdict - articulated in the text by Lucian’s authorial double, Lycinus - that the dialogue’s eponymous character suffers from melancholia. Rather than constitute a passing reference to the colloquial vocabulary of insanity, melancholia, I argue, helps Lucian forcefully assimilate the accumulation of pretentious words to the raving of the insane, a non-sensical blabbering that is void of meaning. At the same time, Lucian aims also to expose the presence of melancholy in the cultural and medical idiom of his time as a disease that typically affects ‘great spirits’, people of exceptional intelligence. By calling Lexiphanes ‘melancholic’, Lucian scolds Lexiphanes’ pretentiousness both as a hyper-Atticist and, no less importantly, as a pseudo-intellectual who is shaping his public image, temperamentally and physiognomically, as a genius whose atrabilious constitution entitles him to act and speak in strange ways

Data Enrichment for Data Mining Applied to Bioinformatics and Cheminformatics Domains

Problemas cada vez mais complexos estão a ser tratados na àrea das ciências da vida. A aquisição de todos os dados que possam estar relacionados com o problema em questão é primordial. Igualmente importante é saber como os dados estão relacionados uns com os outros e com o próprio problema. Por outro lado, existem grandes quantidades de dados e informações disponíveis na Web. Os investigadores já estão a utilizar Data Mining e Machine Learning como ferramentas valiosas nas suas investigações, embora o procedimento habitual seja procurar a informação baseada nos modelos indutivos. Até agora, apesar dos grandes sucessos já alcançados com a utilização de Data Mining e Machine Learning, não é fácil integrar esta vasta quantidade de informação disponível no processo indutivo, com algoritmos proposicionais. A nossa principal motivação é abordar o problema da integração de informação de domínio no processo indutivo de técnicas proposicionais de Data Mining e Machine Learning, enriquecendo os dados de treino a serem utilizados em sistemas de programação de lógica indutiva. Os algoritmos proposicionais de Machine Learning são muito dependentes dos atributos dos dados. Ainda é difícil identificar quais os atributos mais adequados para uma determinada tarefa na investigação. É também difícil extrair informação relevante da enorme quantidade de dados disponíveis. Vamos concentrar os dados disponíveis, derivar características que os algoritmos de ILP podem utilizar para induzir descrições, resolvendo os problemas. Estamos a criar uma plataforma web para obter informação relevante para problemas de Bioinformática (particularmente Genómica) e Quimioinformática. Esta vai buscar os dados a repositórios públicos de dados genómicos, proteicos e químicos. Após o enriquecimento dos dados, sistemas Prolog utilizam programação lógica indutiva para induzir regras e resolver casos específicos de Bioinformática e Cheminformática. Para avaliar o impacto do enriquecimento dos dados com ILP, comparamos com os resultados obtidos na resolução dos mesmos casos utilizando algoritmos proposicionais.Increasingly more complex problems are being addressed in life sciences. Acquiring all the data that may be related to the problem in question is paramount. Equally important is to know how the data is related to each other and to the problem itself. On the other hand, there are large amounts of data and information available on the Web. Researchers are already using Data Mining and Machine Learning as a valuable tool in their researches, albeit the usual procedure is to look for the information based on induction models. So far, despite the great successes already achieved using Data Mining and Machine Learning, it is not easy to integrate this vast amount of available information in the inductive process with propositional algorithms. Our main motivation is to address the problem of integrating domain information into the inductive process of propositional Data Mining and Machine Learning techniques by enriching the training data to be used in inductive logic programming systems. The algorithms of propositional machine learning are very dependent on data attributes. It still is hard to identify which attributes are more suitable for a particular task in the research. It is also hard to extract relevant information from the enormous quantity of data available. We will concentrate the available data, derive features that ILP algorithms can use to induce descriptions, solving the problems. We are creating a web platform to obtain relevant bioinformatics (particularly Genomics) and Cheminformatics problems. It fetches the data from public repositories with genomics, protein and chemical data. After the data enrichment, Prolog systems use inductive logic programming to induce rules and solve specific Bioinformatics and Cheminformatics case studies. To assess the impact of the data enrichment with ILP, we compare with the results obtained solving the same cases using propositional algorithms

Science in neo-Victorian poetry

This article considers the work of three contemporary poets and their engagement, in verse, with Victorian science. Beginning with the outlandish ‘theories’ of Mick Imlah’s ‘The Zoologist’s Bath’ (1983), it moves on to two works of biografiction – Anthony Thwaite’s poem ‘At Marychurch’ (1980), which outlines Philip Henry Gosse’s doomed attempts to unite evolution and Christianity, and Ruth Padel’s Darwin: A Life in Poems (2009). Starting off with John Glendening’s idea that science in neo-Victorian fiction, if fully embraced, provides an opportunity for self-revelation to characters, this article explores the rather less happy resolutions of each of these poems, while in addition discussing the ways in which these poems perform the formal changes and mutability discussed within them