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Sharing disability-related information with an employer to gain workplace adjustments is a complex process for young people with intellectual and/or psychosocial disabilities. We examined the disclosure experiences of young Australians with intellectual and psychosocial disabilities, their subsequent access to workplace adjustments, and their employment outcomes. Using narrative inquiry, we analysed qualitative data collected from 24 interviews with participants with an intellectual (n = 10) and psychosocial disability (n = 14) between 18 and 25 years old recruited as part of an Australian Government-funded Youth Employment Study. Four main narratives emerged among the participants responses. Positions ranged from their having no control over disclosure experiences to a high level of control resulting in access to workplace adjustments. These positions were impingent on their knowledge of rights and adjustments, previous experiences, workplace context, and self-advocacy capacity. Our study provides unique insights into the employment experiences of young people with intellectual and psychosocial disabilities. The findings may inform initiatives aimed at building their capabilities for disclosure to gain workplace adjustments that can improve their employment outcomes in turn.

Across Europe, the working age population is decreasing and aging. In this study, with reference to Italy, we analyze the main demographic trends underlying these processes. By using data from the continuous Labor Force Survey, we show the effects of the overall population dynamics on workforce age structure and its composition by professional activities and economic sector. We argue that the observed changes in the labor market are only partially due to demographic trends since they are strictly intertwined with the rigidity of the Italian economic system. We then illustrate the results of two sample surveys conducted among large and small-medium Italian enterprises, respectively. The main result is that the Italian businesses are moderately aware of the aging process of their human resources, and only a few are worried about it. Only few larger companies are actively implementing strategies of age management in order to cope with the issue. Finally, we discuss the implications for the policy of the above results, also in the light of recommendations from the international organizations.

Frontmatter -- Contents -- Figures and Tables -- Contributors -- Acknowledgements -- Foreword -- 1 Introduction: Tourism Paradoxes – Contradictions, Controversies and Challenges -- 2 The Paradox of Modernity: Power, Identity and Tourism in Rural Cyprus -- 3 Go West! Overcoming the Paradoxes of Kinh Tourism in the Vietnamese Mountains: A Postcolonial Geography -- 4 The 'Logical Paradox' of Preservation via Change: The Touristic Potential of Malaysia's Catholic Mission Schools -- 5 Empowering Package Tour Travellers by Disempowering Tourism Operators? Assessing the Effectiveness of the Tourism Law of China -- 6 Cross-cultural Encounter: Sustaining Racial Prejudice or Prompting Reflection? -- 7 Contemporary Polemics of Chinese Outbound Tourism to Europe: Paradoxes, Inconsistencies and Contradictions -- 8 International Tourism Academia: A Paradoxical Challenge -- 9 The Call for 'Dynamic Genesis' (after Deleuze) in Tourism Studies -- 10 Afterword: Reflections on Paradoxes in Understanding, Culture, Mobility, and Tourism -- Index

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types.

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale.

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types.