Search for dissertations about: "Lévy"
Showing result 1 - 5 of 43 swedish dissertations containing the word Lévy.
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1. Business Model Design for Strategic Sustainable Development
Abstract : Humanity confronts an existential threat without historic precedent. Environmental pressures have reached such intensity and pace of change that the earth system may be irreversibly tipped into a new and unpredictable state. The emerging global reality is, in turn, redefining overall conditions for business success. READ MORE
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2. Affect-focused body psychotherapy for patients with generalised anxiety disorder
Abstract : Introduction and aims: This thesis investigates Affect-focused Body Psychotherapy (ABP) for patients with Generalised Anxiety Disorder (GAD). ABP has demonstrated good results in patients with chronic pain, but its effect has not been empirically tested in psychiatric disorders. READ MORE
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3. Introductory Approach to Business Model Design for Strategic Sustainable Development
Abstract : The interrelated challenges of systematic degradation of ecosystems, social inequalities, financial instability and resource constraints are redefining the overall conditions for business in the twenty-first century. Addressing these challenges both demands and brings great opportunity for innovation. READ MORE
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4. Homeless in 'The People's Home' : Exploring the experiences of 'vulnerable EU citizens' in Stockholm, Sweden
Abstract : Since the early 2010s, Stockholm has seen a visible emergence of homelessness and begging amongst predominantly Romanian citizens, many of whom identify as Roma, who have collectively come to be known as ‘vulnerable EU citizens’. Despite their prolonged presence and a great deal of political attention, there remains a lack of in-depth research into their experiences of homelessness in the city. READ MORE
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5. The Search for Syntax : Investigating the Syntactic Knowledge of Neural Language Models Through the Lens of Dependency Parsing
Abstract : Syntax — the study of the hierarchical structure of language — has long featured as a prominent research topic in the field of natural language processing (NLP). Traditionally, its role in NLP was confined towards developing parsers: supervised algorithms tasked with predicting the structure of utterances (often for use in downstream applications). READ MORE