"Secretary in Fashion" and "Love-Letters": a study of socio-cultural and pragmatic-linguistic features in the late 17th century English language

Epistolary manuals are conspicuous historical documents for the pedagogy of letter writing; however, their actual usage as manuals by letter writers is unknown. "Secretary in Fashion" by Serre (1668), an epistolary manual, and "Love-Letters between a Nobleman and his Sister" (1684), an epistolary novel attributed to Behn, both give insights into epistolary conventions. Their inception and nature is interesting, considering their historical context. Despite the Restoration of Charles II, 17th century England was in a confused political state; as a result, texts regarding social convention or politics interested contemporary readers (the novel is inspired by a scandal of Lord Grey, an ardent Whig opposing Charles II). Past epistolary studies focus on 18th rather than 17th century manuals; the latter is typically used as supplementary information. Similarly, past epistolary fiction studies focus on 18th century texts; moreover, linguistic studies on Behn and the novel are deficient. Thus, this study addresses the research questions: 1) What are the socio-cultural and pragmaticlinguistic features represented in "Secretary in Fashion"? 2) What are the socio-cultural and pragmatic-linguistic features represented in "Love-Letters between a Nobleman and his Sister", and do any of these features correlate with the features represented in "Secretary in Fashion"? How far do the characteristic linguistic features of "Love-Letters between a Nobleman and his Sister" correlate with the practices recommended by the manual? Both texts were qualitatively analysed from an historical pragmatic perspective, which observes the potential effects of the socio-cultural and historical context. Also, as the texts concern shared discourses, comparisons were made with Gricean and Politeness Theory. The results show that the manual is a typical 17th century epistolary manual, aligning particularly with the "Academies of Complements", as it concerns the social conventions of the gentry. The novel mainly upheld instructions on form and matter; deviations occurred due to the amatory nature of some letters, and the narrative force affecting the style. Unfortunately, neither research question elucidates the actual usage of manuals. However, this study does show the epistolary practices of two writers, within specific contexts. It reveals that their 17th century English language use is affected by socialisation, in terms of social conventions concerning social rank, age, and gender; therefore, context varies language use. Also, their popularity reveals the interests of the 17th century society. Interest in epistolary-related texts, surely piques the interest of the modern reader as to why such epistolary-related texts were interesting.

From social action to business action - A qualitative research on the professionalization process of a blogger: Case P.s. I Love Fashion -blog

Blogging is one of the most common forms of social media today. Blogs have become a powerful media and bloggers are settled stakeholders to marketers. Commercialization of the blogosphere has enabled an increasing number of bloggers professionalize and blog as a full-time occupation. The purpose of this study is to understand the professionalization process of a blogger from an amateur blogger to a professional actor. The following sub-questions were used to further elaborate the topic: What have been the meaningful events and developments fostering professionalization? What are the prerequisites for popularity in blogging? Are there any key success factors to acknowledge in order being able to make business out of your blog? The theoretical framework of this study was formed based on the two chosen focus areas for professionalization; social drivers and business drivers. The theoretical framework is based on literature from fields of marketing and social sciences, as well as previous research on social media, blogging and professionalization. The study is a qualitative case-study and the research data was collected in a semi-structured interview. The case chosen to this study is a lifestyle-blog. The writer of the case blog has been able to develop her blog to become a full-time professional blogger. Based on the results, the professionalization process of a blogger is not a defined process, but instead comprised of coincidental events as well as considered advancements. Success in blogging is based on the bloggers own motivation and passion for writing and expressing oneself in the form of a blog, instead of a systematic construction of a successful career in blogging. Networking with other bloggers as well as affiliates was seen as an important success factor. Popularity in the blogosphere and a high number of followers enable professionalization, as marketers actively seek to collaborate with popular bloggers with strong personal brands. Bloggers with strong personal brands are especially attractive due to their opinion leadership in their reference group. A blogger can act professionally either as entrepreneur or blogging for a commercial webpage. According to the results of this study, it is beneficial for the blogger’s professional development as well as career progress, to act on different operating models

Development of Imaging Mass Spectrometry Analysis of Lipids in Biological and Clinically Relevant Applications

La spectrométrie de masse mesure la masse des ions selon leur rapport masse sur charge. Cette technique est employée dans plusieurs domaines et peut analyser des mélanges complexes. L’imagerie par spectrométrie de masse (Imaging Mass Spectrometry en anglais, IMS), une branche de la spectrométrie de masse, permet l’analyse des ions sur une surface, tout en conservant l’organisation spatiale des ions détectés. Jusqu’à présent, les échantillons les plus étudiés en IMS sont des sections tissulaires végétales ou animales. Parmi les molécules couramment analysées par l’IMS, les lipides ont suscité beaucoup d'intérêt. Les lipides sont impliqués dans les maladies et le fonctionnement normal des cellules; ils forment la membrane cellulaire et ont plusieurs rôles, comme celui de réguler des événements cellulaires. Considérant l’implication des lipides dans la biologie et la capacité du MALDI IMS à les analyser, nous avons développé des stratégies analytiques pour la manipulation des échantillons et l’analyse de larges ensembles de données lipidiques. La dégradation des lipides est très importante dans l’industrie alimentaire. De la même façon, les lipides des sections tissulaires risquent de se dégrader. Leurs produits de dégradation peuvent donc introduire des artefacts dans l’analyse IMS ainsi que la perte d’espèces lipidiques pouvant nuire à la précision des mesures d’abondance. Puisque les lipides oxydés sont aussi des médiateurs importants dans le développement de plusieurs maladies, leur réelle préservation devient donc critique. Dans les études multi-institutionnelles où les échantillons sont souvent transportés d’un emplacement à l’autre, des protocoles adaptés et validés, et des mesures de dégradation sont nécessaires. Nos principaux résultats sont les suivants : un accroissement en fonction du temps des phospholipides oxydés et des lysophospholipides dans des conditions ambiantes, une diminution de la présence des lipides ayant des acides gras insaturés et un effet inhibitoire sur ses phénomènes de la conservation des sections au froid sous N2. A température et atmosphère ambiantes, les phospholipides sont oxydés sur une échelle de temps typique d’une préparation IMS normale (~30 minutes). Les phospholipides sont aussi décomposés en lysophospholipides sur une échelle de temps de plusieurs jours. La validation d’une méthode de manipulation d’échantillon est d’autant plus importante lorsqu’il s’agit d’analyser un plus grand nombre d’échantillons. L’athérosclérose est une maladie cardiovasculaire induite par l’accumulation de matériel cellulaire sur la paroi artérielle. Puisque l’athérosclérose est un phénomène en trois dimension (3D), l'IMS 3D en série devient donc utile, d'une part, car elle a la capacité à localiser les molécules sur la longueur totale d’une plaque athéromateuse et, d'autre part, car elle peut identifier des mécanismes moléculaires du développement ou de la rupture des plaques. l'IMS 3D en série fait face à certains défis spécifiques, dont beaucoup se rapportent simplement à la reconstruction en 3D et à l’interprétation de la reconstruction moléculaire en temps réel. En tenant compte de ces objectifs et en utilisant l’IMS des lipides pour l’étude des plaques d’athérosclérose d’une carotide humaine et d’un modèle murin d’athérosclérose, nous avons élaboré des méthodes «open-source» pour la reconstruction des données de l’IMS en 3D. Notre méthodologie fournit un moyen d’obtenir des visualisations de haute qualité et démontre une stratégie pour l’interprétation rapide des données de l’IMS 3D par la segmentation multivariée. L’analyse d’aortes d’un modèle murin a été le point de départ pour le développement des méthodes car ce sont des échantillons mieux contrôlés. En corrélant les données acquises en mode d’ionisation positive et négative, l’IMS en 3D a permis de démontrer une accumulation des phospholipides dans les sinus aortiques. De plus, l’IMS par AgLDI a mis en évidence une localisation différentielle des acides gras libres, du cholestérol, des esters du cholestérol et des triglycérides. La segmentation multivariée des signaux lipidiques suite à l’analyse par IMS d’une carotide humaine démontre une histologie moléculaire corrélée avec le degré de sténose de l’artère. Ces recherches aident à mieux comprendre la complexité biologique de l’athérosclérose et peuvent possiblement prédire le développement de certains cas cliniques. La métastase au foie du cancer colorectal (Colorectal cancer liver metastasis en anglais, CRCLM) est la maladie métastatique du cancer colorectal primaire, un des cancers le plus fréquent au monde. L’évaluation et le pronostic des tumeurs CRCLM sont effectués avec l’histopathologie avec une marge d’erreur. Nous avons utilisé l’IMS des lipides pour identifier les compartiments histologiques du CRCLM et extraire leurs signatures lipidiques. En exploitant ces signatures moléculaires, nous avons pu déterminer un score histopathologique quantitatif et objectif et qui corrèle avec le pronostic. De plus, par la dissection des signatures lipidiques, nous avons identifié des espèces lipidiques individuelles qui sont discriminants des différentes histologies du CRCLM et qui peuvent potentiellement être utilisées comme des biomarqueurs pour la détermination de la réponse à la thérapie. Plus spécifiquement, nous avons trouvé une série de plasmalogènes et sphingolipides qui permettent de distinguer deux différents types de nécrose (infarct-like necrosis et usual necrosis en anglais, ILN et UN, respectivement). L’ILN est associé avec la réponse aux traitements chimiothérapiques, alors que l’UN est associé au fonctionnement normal de la tumeur.

Production et articulation des appartenances au mouvement Slow Fashion sur Twitter

Ce mémoire explore les productions et les articulations des appartenances au mouvement Slow Fashion sur Twitter. En réaction au modèle actuel prédominant du Fast Fashion, basé sur une surproduction et une surconsommation des vêtements, le Slow Fashion sensibilise les différents acteurs du secteur de la mode à avoir une vision plus consciente des impacts de leurs pratiques sur les travailleurs, les communautés et les écosystèmes (Fletcher, 2007) et propose une décélération des cycles de production et de consommation des vêtements. L’enjeu de cette recherche est de montrer que le Slow Fashion se dessine notamment à travers les relations entres les différents acteurs sur Twitter et que l'ensemble de ces interactions prend la forme d'un rhizome, c’est-à-dire d’un système dans lequel les éléments qui le composent ne suivent aucune arborescence, aucune hiérarchie et n’émanent pas d’un seul point d’origine. (Deleuze & Guattari, 1976) Sur Twitter, les appartenances au Slow Fashion font surface, se connectent les unes aux autres par des liens de nature différente. Consommateurs, designers, entreprises, journalistes, etc., ces parties prenantes construisent collectivement le Slow Fashion comme mouvement alternatif à la mode mainstream actuelle. Mon cadre théorique s’est construit grâce à une analyse de la littérature des concepts de mode, d’identité et d’appartenance afin de mieux appréhender le contexte dans lequel le mouvement a émergé. Puis, j’ai également réalisé une étude exploratoire netnographique sur Twitter au cours de laquelle j’ai observé, tout en y participant, les interactions sur la plateforme abordant le Slow Fashion et/ou la mode éthique. Publiée sur ce blogue (http://belongingtoslowfashion.blogspot.ca), cette « creative presentation of research » (Chapman & Sawchuk, 2012) ne constitue pas une histoire présentant les prétendues origines de ce mouvement mais plutôt une photographie partielle à un certain moment du Slow Fashion. Construite tel un rhizome, elle n’a ni début, ni fin, ni hiérarchie. J’invite alors les lectrices/lecteurs à choisir n’importe quelle entrée et à délaisser toute logique linéaire et déductive. Cette exploration sera guidée par des liens hypertextes ou des annotations qui tisseront des connexions avec d’autres parties ou feront émerger d’autres questionnements. Il s’agit d’offrir une introduction aux enjeux que pose le Slow Fashion, d’ouvrir la voie à d’autres recherches et d’autres réflexions, ou encore de sensibiliser sur ce sujet.

Production et articulation des appartenances au mouvement Slow Fashion sur Twitter

Ce mémoire explore les productions et les articulations des appartenances au mouvement Slow Fashion sur Twitter. En réaction au modèle actuel prédominant du Fast Fashion, basé sur une surproduction et une surconsommation des vêtements, le Slow Fashion sensibilise les différents acteurs du secteur de la mode à avoir une vision plus consciente des impacts de leurs pratiques sur les travailleurs, les communautés et les écosystèmes (Fletcher, 2007) et propose une décélération des cycles de production et de consommation des vêtements. L’enjeu de cette recherche est de montrer que le Slow Fashion se dessine notamment à travers les relations entres les différents acteurs sur Twitter et que l'ensemble de ces interactions prend la forme d'un rhizome, c’est-à-dire d’un système dans lequel les éléments qui le composent ne suivent aucune arborescence, aucune hiérarchie et n’émanent pas d’un seul point d’origine. (Deleuze & Guattari, 1976) Sur Twitter, les appartenances au Slow Fashion font surface, se connectent les unes aux autres par des liens de nature différente. Consommateurs, designers, entreprises, journalistes, etc., ces parties prenantes construisent collectivement le Slow Fashion comme mouvement alternatif à la mode mainstream actuelle. Mon cadre théorique s’est construit grâce à une analyse de la littérature des concepts de mode, d’identité et d’appartenance afin de mieux appréhender le contexte dans lequel le mouvement a émergé. Puis, j’ai également réalisé une étude exploratoire netnographique sur Twitter au cours de laquelle j’ai observé, tout en y participant, les interactions sur la plateforme abordant le Slow Fashion et/ou la mode éthique. Publiée sur ce blogue (http://belongingtoslowfashion.blogspot.ca), cette « creative presentation of research » (Chapman & Sawchuk, 2012) ne constitue pas une histoire présentant les prétendues origines de ce mouvement mais plutôt une photographie partielle à un certain moment du Slow Fashion. Construite tel un rhizome, elle n’a ni début, ni fin, ni hiérarchie. J’invite alors les lectrices/lecteurs à choisir n’importe quelle entrée et à délaisser toute logique linéaire et déductive. Cette exploration sera guidée par des liens hypertextes ou des annotations qui tisseront des connexions avec d’autres parties ou feront émerger d’autres questionnements. Il s’agit d’offrir une introduction aux enjeux que pose le Slow Fashion, d’ouvrir la voie à d’autres recherches et d’autres réflexions, ou encore de sensibiliser sur ce sujet.

International Branding Strategies : In Swedish and Russian Fashion Companies

There are a lot of different business strategies for any company. However, in the fashion industry, the best way to become successful is to develop the brand using special branding strategies. Hence, a brand is the main weapon for fashion companies, which helps to launch international market and to create loyal customers around the world. Nowadays, due to the difficult current political situations and the collapse of oil and the dollar a lot of companies in different industries have to change their business strategies. It is especially true for fashion companies, because they depend on consumers ' income and their purchasing power. In the case of the fashion industry, branding strategy development can be more effective, than just business strategy. Hence, this thesis discusses the following problem: What branding strategy should Russian and Swedish fashion companies choose in order to build a strong brand and enter the international market.  The purpose of this thesis is to analyze various branding strategies of Russian and Swedish fashion companies during the process of entering foreign markets. At the end of this thesis, practical contribution in their process of international branding strategy creation will be discussed. In order to answer research questions more broadly and accurately, the mixed research method, using quantitive and qualitative study through interviews and survey was chosen. Semi-structured interviews were made with the CEO and brand managers of Russian and Swedish fashion companies. Moreover, the survey was made with two different questionnaires: for Russian and for Swedish customers. In the case of qualitative research, the author found that fashion companies from Russia and Sweden have got not just some features and differences, but also common aspects. The primary data from interviews allowed the author to understand the specifics of brand management in the fashion industry. It was found, that there are some useful aspects in Swedish strategies, which can be used by Russian companies to develop their brands on the international market. In the case of quantitative research, preferences of consumers from Russia and Sweden were analyzed and also some features were identified. Survey results provided the author with a common understanding about purchase habits, attitudes and perceptions to fashion brands. According to these, some hypothesizes, which are formulated in the first part of the thesis, have been proven or disproven. It was found, that preferences of Russian and Swedish people are pretty the same, however Russian customers do not like to risk with new brands and prefer well-known and trusted brands while Swedish customers are open for any brand, which can satisfy their tastes.

Non-invasive methodology for the identification of plastic pieces in museum environment – a novel approach

The preservation of modern and contemporary art and costume collections in museums requires a complete understanding of their constituent materials which are often synthetic or semi-synthetic polymers. An extraordinary amount of quality information can be gained from instrumental techniques, but some of them have the disadvantage of being destructive. This paper presents a new totally integrated non-invasive methodology, for the identification of polymers and their additives, on plastic artefacts in museums. NMR (nuclear magnetic resonance) and in-situ FTIR-ATR (attenuated total reflection infrared spectroscopy) combination allowed the full characterization of the structure of thesematerials and correct identification of each one. The NMR technique applied to leached surface exudates identified unequivocally a great number of additives, exceeding the Py–GC–MS analysis of micro-fragments in number and efficiency. Additionally, in-situ FTIR-ATR provided exactly the same information of the destructive μ-FTIR about the polymer structure and confirmed the presence of some additives. Eight costume pieces (cosmetic boxes and purses), dating to the beginning of the 20th century and belonging to the Portuguese National Museum of Costume and Fashion, were correctly identified with this new integrated methodology, as beingmade of plastics derived fromcellulose acetate or cellulose nitrate polymers, contradicting the initial information that these pieces were made of Bakelite. The identification of a surprisingly large number of different additives forms an added value of this methodology and opens a perspective of a quick and better characterization of plastic artefacts in museum environments.

Characterization of medieval glass artefacts from Miranduolo site, Chiusdino, Italy

This archaeovitreological study deals with artefacts of Miranduolo site, Tuscany region (Italy), dated 1250-1350 AD. The Miranduolo site is a medieval hill-village dated from 7th to 14th century. The information obtained reveal that Miranduolo was under control of noble families, which displayed the social, economic and political power. It is marked by controlling the farmers and metal workers on the site, as well as having control over agricultural surpluses. No in situ glass workshop has been recovered, implying that the glass artefacts were imported. One aim of this work is application of SEM-EDS to visualize textural characteristics and thickness of the pristine glass and corrosion layers. Preliminary qualification and semi-quantification of major and minor chemical elements will provide the data on the glass group present and fluxes employed. The data obtained will be integrated with the one obtained by more sensitive techniques such as PIXE/PIGE and LA-ICP-MS. Twenty cross-sections of transparent glasses (colorless, azure, and different hues of yellow and) have been analyzed by VP-SEM. All the analyzed glasses display a homogenous matrix. Only four samples (MD 24, MD 139, MD 143, MD 259) show corrosion layers of various thickness with 2.25μm, 136-500 μm, 26.8 μm and 17.01 μm. EDS linescan analyses indicate strong depletion in the corrosion layers of Na and K, while Ca depletes to a minor extent. In general, both glass composition and the burial conditions were favorable for preservation. Samples can be classified as mainly plant ash Na-Ca-Si glasses made with both unpurified and purified Levantine ash. Only sample MD 243 is made from Barilla plant ash. Sample MD 139 cannot be classified into main compositional groups as K2O is 1.33 wt% and MgO 5.92 wt%. In 8 samples MnO content is lower than 0.8 wt%, meaning that in these samples MnO is naturally present. In other 12 samples, MnO above 0.8 wt% indicates deliberate addition as a decolorant agent to intentionally obtain different hues or the amount added was not successful in making the glass transparent. The results considering fluxes are compatible with archaeovitreological study from contemporary primary glass workshops in Tuscany. For determining the provenance of silica sources, further analysis with more sensitive techniques has to be carried out; Resumo: Este estudo “arqueovitreologia” lida com artefatos do local Miranduolo, região da Toscana (Itália), datados de 1250-1350 AD. O sitio de Miranduolo é uma colina vila medieval datada do séc.VII ao séc.XIV. As informações obtidas revelam que Miranduolo estava sob o controle de famílias nobres, que exibiu o poder social, económico e político. É marcado por controlar os agricultores e trabalhadores do metal no sitio, bem como ter controlo sobre os excedentes agrícolas. Não há na oficina de vidro in situ foi recuperado, o que implica que os artefactos de vidro foram importados. Um dos objetivos deste trabalho é a aplicação de SEM-EDS para visualizar características de textura e espessura das camadas de corrosão do vidro também como da áreas originais. qualificação preliminar e semi-quantificação de maiores e menores elementos químicos irá fornecer os dados sobre o grupo presente vidro e fluxos empregado. Os dados obtidos são integrados com os dados obtidos por meio de técnicas mais sensíveis, como PIXE / PIGE e LA-ICP-MS. Vinte secções transversais de vidros transparentes (incolor, azul celeste, e diferentes tons de amarelo) foram analisados por VP-SEM. Todos os vidros analisados exibir uma matriz homogénea. Apenas quatro amostras (MD 24, MD 139, MD 143, MD 259) mostram camadas de corrosão de várias espessuras com 2.25μm, 136-500μm, 26,8μm e 17,01μm. Análises Linescan EDS indicam forte esgotamento nas camadas de corrosão de Na e K, enquanto Ca esgota, em menor grau. Em geral, tanto a composição de vidro e as condições de depósito foram favoráveis para a preservação. As amostras podem ser classificados como vidros principalmente Na-Ca-Si feitas com cinzas de plantas do tipo levantino, não purificada e purificada. Apenas a amostra MD 243 é feita a partir de cinzas vegetais tipo “Barilla”. A amostra MD 139 não pode ser classificada em grupos principais de composição porque K2O é 1,33% em peso e MgO 5,92% em peso. Em 8 amostras, o teor de MnO é menor do que 0,8% em peso, o que significa que nestas amostras MnO está naturalmente presente. Em outras 12 amostras, MnO acima de 0,8% em peso indica adição intencional como um agente de colorante para obter intencionalmente diferentes matizes ou o valor acrescentado não foi bem sucedido em fazer o vidro transparente. Os resultados, considerando os fluxos são compatíveis com o estudo “arqueovitreologico” com as principais oficinas de vidro contemporâneos na Toscana. Para determinar a origem das fontes de sílica, uma análise mais aprofundada com técnicas mais sensíveis tem de ser levada a cabo.

End-to-end Deep Metric Learning con Vision-Language Model per il Fashion Image Captioning

L'image captioning è un task di machine learning che consiste nella generazione di una didascalia, o caption, che descriva le caratteristiche di un'immagine data in input. Questo può essere applicato, ad esempio, per descrivere in dettaglio i prodotti in vendita su un sito di e-commerce, migliorando l'accessibilità del sito web e permettendo un acquisto più consapevole ai clienti con difficoltà visive. La generazione di descrizioni accurate per gli articoli di moda online è importante non solo per migliorare le esperienze di acquisto dei clienti, ma anche per aumentare le vendite online. Oltre alla necessità di presentare correttamente gli attributi degli articoli, infatti, descrivere i propri prodotti con il giusto linguaggio può contribuire a catturare l'attenzione dei clienti. In questa tesi, ci poniamo l'obiettivo di sviluppare un sistema in grado di generare una caption che descriva in modo dettagliato l'immagine di un prodotto dell'industria della moda dato in input, sia esso un capo di vestiario o un qualche tipo di accessorio. A questo proposito, negli ultimi anni molti studi hanno proposto soluzioni basate su reti convoluzionali e LSTM. In questo progetto proponiamo invece un'architettura encoder-decoder, che utilizza il modello Vision Transformer per la codifica delle immagini e GPT-2 per la generazione dei testi. Studiamo inoltre come tecniche di deep metric learning applicate in end-to-end durante l'addestramento influenzino le metriche e la qualità delle caption generate dal nostro modello.

Sustainable futuring. Learning and unlearning the past A critical discourse study of ‘fashion sustainability’-related discursive formations in Vogue Italia (1965-2021)

Recent scholarly works on the relationship between ‘fashion’ and ‘sustainability’ have identified a need for a systemic transition towards fashion media ‘for sustaianbility’. Nevertheless, the academic research on the topic is still limited and rather circumscribed to the analysis of marketing practices, while only recently some more systemic and critical analyses of the symbolic production of sustainability through fashion media have been undertaken. Responding to this need for an in-depth investigation of ‘sustainability’-related media production, my research focuses on the ‘fashion sustainability’-related discursive formations in the context of one of the most influential fashion magazines today – Vogue Italia. In order to investigate the ways in which the ‘sustainability’ discourse was formed and has evolved, the study considered the entire Vogue Italia archive from 1965 to 2021. The data collection was carried out in two phases, and the individualised relevant discursive units were then in-depth and critically analysed to allow for a grounded assessment of the media giant’s position. The Discourse-Historical Approach provided a methodological base for the analysis, which took into consideration the various levels of context: the immediate textual and intertextual, but also the broader socio-cultural context of the predominant, over-production oriented and capital-led fashion system. The findings led to a delineation of the evolution of the ‘fashion sustainability’ discourse, unveiling how despite Vogue Italia’s auto-determination as attentive to ‘sustainability’-related topics, the magazine is systemically employing discursive strategies which significantly mitigate the meaning of the ‘sustainable commitment’ and thus the meaning of ‘fashion sustainability’.

Economia Circolare e Industria 4.0: big data come strumento di sostenibilità nell’industria del fashion

L’argomento di questa tesi nasce dall’idea di unire due temi che stanno assumendo sempre più importanza nei nostri giorni, ovvero l’economia circolare e i big data, e ha come obiettivo quello di fornire dei punti di collegamento tra questi due. In un mondo tecnologico come quello di oggi, che sta trasformando tutto quello che abbiamo tra le nostre mani in digitale, si stanno svolgendo sempre più studi per capire come la sostenibilità possa essere supportata dalle tecnologie emergenti. L’economia circolare costituisce un nuovo paradigma economico in grado di sostituirsi a modelli di crescita incentrati su una visione lineare, puntando ad una riduzione degli sprechi e ad un radicale ripensamento nella concezione dei prodotti e nel loro uso nel tempo. In questa transizione verso un’economia circolare può essere utile considerare di assumere le nuove tecnologie emergenti per semplificare i processi di produzione e attuare politiche più sostenibili, che stanno diventando sempre più apprezzate anche dai consumatori. Il tutto verrà sostenuto dall’utilizzo sempre più significativo dei big data, ovvero di grandi dati ricchi di informazioni che permettono, tramite un’attenta analisi, di sviluppare piani di produzione che seguono il paradigma circolare: questo viene attuato grazie ai nuovi sistemi digitali sempre più innovativi e alle figure specializzate che acquisiscono sempre più conoscenze in questo campo.

Fashion communication strategy: il caso Jacquemus

Il presente elaborato intende studiare la comunicazione di moda, nello specifico la comunicazione aziendale della casa di moda di lusso francese Jacquemus. Per fare ciò, si inizia approfondendo l’argomento della storia della moda e riflettendo su come essa possa essere uno strumento di comunicazione non verbale. Successivamente, si prendono in esame i concetti aziendali di Brand Identity, Brand Positioning e analisi SWOT per analizzare come l’azienda di moda francese ha costruito la sua identità di marca, come si posiziona nella mente dei consumatori e per individuare i suoi punti di forza, di debolezza, le sue opportunità di crescita e le minacce che possono, potenzialmente, ostacolarla. Infine, si prendono in considerazione le strategie di marketing attuate da Jacquemus al fine di rendere efficace la sua comunicazione d’impresa, tenendo conto dei nuovi media digitali a disposizione e concentrandosi anche sul modo in cui l’azienda è riuscita a contrastare la crisi dovuta al lockdown in piena pandemia da Covid-19.

Graph-based Vision-Language Model for Multi-Modal Retrieval of Fashion Products

Artificial Intelligence is reshaping the field of fashion industry in different ways. E-commerce retailers exploit their data through AI to enhance their search engines, make outfit suggestions and forecast the success of a specific fashion product. However, it is a challenging endeavour as the data they possess is huge, complex and multi-modal. The most common way to search for fashion products online is by matching keywords with phrases in the product's description which are often cluttered, inadequate and differ across collections and sellers. A customer may also browse an online store's taxonomy, although this is time-consuming and doesn't guarantee relevant items. With the advent of Deep Learning architectures, particularly Vision-Language models, ad-hoc solutions have been proposed to model both the product image and description to solve this problems. However, the suggested solutions do not exploit effectively the semantic or syntactic information of these modalities, and the unique qualities and relations of clothing items. In this work of thesis, a novel approach is proposed to address this issues, which aims to model and process images and text descriptions as graphs in order to exploit the relations inside and between each modality and employs specific techniques to extract syntactic and semantic information. The results obtained show promising performances on different tasks when compared to the present state-of-the-art deep learning architectures.

Epilepsies Associated With Hippocampal Sclerosis.

Hippocampal sclerosis (HS) is considered the most frequent neuropathological finding in patients with mesial temporal lobe epilepsy (MTLE). Hippocampal specimens of pharmacoresistant MTLE patients that underwent epilepsy surgery for seizure control reveal the characteristic pattern of segmental neuronal cell loss and concomitant astrogliosis. However, classification issues of hippocampal lesion patterns have been a matter of intense debate. International consensus classification has only recently provided significant progress for comparisons of neurosurgical and clinic-pathological series between different centers. The respective four-tiered classification system of the International League Against Epilepsy subdivides HS into three types and includes a term of gliosis only, no-HS. Future studies will be necessary to investigate whether each of these subtypes of HS may be related to different etiological factors or with postoperative memory and seizure outcome. Molecular studies have provided potential deeper insights into the pathogenesis of HS and MTLE on the basis of epilepsy-surgical hippocampal specimens and corresponding animal models. These include channelopathies, activation of NMDA receptors, and other conditions related to Ca(2+) influx into neurons, the imbalance of Ca(2+)-binding proteins, acquired channelopathies that increase neuronal excitability, paraneoplastic and non-paraneoplastic inflammatory events, and epigenetic regulation promoting or facilitating hippocampal epileptogenesis. Genetic predisposition for HS is clearly suggested by the high incidence of family history in patients with HS, and by familial MTLE with HS. So far, it is clear that HS is multifactorial and there is no individual pathogenic factor either necessary or sufficient to generate this intriguing histopathological condition. The obvious variety of pathogenetic combinations underlying HS may explain the multitude of clinical presentations, different responses to clinical and surgical treatment. We believe that the stratification of neuropathological patterns can help to characterize specific clinic-pathological entities and predict the postsurgical seizure control in an improved fashion.