D1.1 DEMAND ASSESSMENT FRAMEWORK

This report proposes the initial draft of the LeADS ADS Framework composed by three major elements; identification and definition of technologies in scope; skills included under those technologies, and definition of job roles, where other skills frameworks are considered for comparison and alignment. The report summarises the first workshop held by the project with external constituencies even though the feedback will be incorporated in the final version of the framework, where the layer of job roles will be completed, and the others revised according to additional input. This framework serves as reference for the next step in LeADS: the assessment of the demand and the supply

The Socio-Economic Impact of Corporate Social Responsibility Practices in Sri Lankan Tea Manufacturing Companies (Special Reference to Kandy District)

Corporate Social Responsibility (CSR) is very important topic in the present competitive business environment. The aim of this exploratory study is to capture the current status of Corporate Social Responsibility (CSR) awareness, commitment and practices level of tea manufacturing companies in Sri Lanka and assessing the socioeconomic impact of company CSR on employees and smallholders. The study provides an overview of company CSR practices as well as of employee and smallholder experiences and perceptions of CSR practices of tea manufacturing companies. The research study is based on Kandy district and three perspectives factory owners, employees and smallholders were used in exploring the CSR level and its socioeconomic impact. To achieve the research objectives tea manufacturing company’s CSR practices are studied in three domains: CSR to employees, smallholders and environment. The researcher used mixed method comprising both quantitative and qualitative elements. There is a positive relationship between tea manufacturing company CSR level and the socioeconomic condition of employee and the smallholders. When it consider about the overall situation, current CSR practices of tea manufacturing companies have not made a positive impact on socioeconomic development of employees and smallholders. Tea manufacturing companies should consider CSR strategies that are in the interest of all stakeholders and relevant to the business.DOI: http://dx.doi.org/10.4038/kjm.v2i1.6546 Kelaniya Journal of Management Vol.2(1) 2013:113-142</p

Pensamento contrafactual e moralidade

O artigo apresenta e oferece justificativas para uma linha de pesquisa em andamento que relaciona experimentos da psicologia cognitiva e social sobre pensamento contrafactual e suposições sobre os processos cognitivos e emocionais envolvidos na formação do juízo moral. A ideia central é defender um papel funcional dos mecanismos psicológicos contrafactuais na formação do juízo moral

Pensamento contrafactual e moralidade

O artigo apresenta e oferece justificativas para uma linha de pesquisa em andamento que relaciona experimentos da psicologia cognitiva e social sobre pensamento contrafactual e suposições sobre os processos cognitivos e emocionais envolvidos na formação do juízo moral. A ideia central é defender um papel funcional dos mecanismos psicológicos contrafactuais na formação do juízo moral

Café Bar 16 (Sérvia)

info:eu-repo/semantics/publishedVersio

Chrono (Sérvia)

info:eu-repo/semantics/publishedVersio

A Large-Scale Study of iPhone App Launch Behaviour

There have been many large-scale investigations of users' mobile app launch behaviour, but all have been conducted on Android, even though recent reports suggest iPhones account for a third of all smartphones in use. We report on the first large-scale analysis of app usage patterns on iPhones. We conduct a reproduction study with a cohort of over 10,000 jailbroken iPhone users, reproducing several studies previously conducted on Android devices. We find some differences, but also significant similarities: e.g. communications apps are the most used on both platforms; similar patterns are apparent of few apps being very popular but there existing a 'long tail' of many apps used by the population; users show similar patterns of 'micro-usage'; almost identical proportions of people use a unique combination of apps. Such similarities add confidence but also specificity about claims of consistency across smartphones. As well as presenting our findings, we discuss issues involved in reproducing studies across platforms

HER2-HER3 heterodimer quantification by FRET-FLIM and patient subclass analysis of the COIN colorectal trial

BACKGROUND: The phase 3 MRC COIN trial showed no statistically significant benefit from adding the EGFR-target cetuximab to oxaliplatin-based chemotherapy in first-line treatment of advanced colorectal cancer. This study exploits additional information on HER2-HER3 dimerization to achieve patient stratification and reveal previously hidden subgroups of patients who had differing disease progression and treatment response. METHODS: HER2-HER3 dimerization was quantified by "FLIM Histology" in primary tumor samples from 550 COIN trial patients receiving oxaliplatin and fluoropyrimidine chemotherapy +/-cetuximab. Bayesian latent class analysis (LCA) and covariate reduction was performed to analyze the effects of HER2-HER3 dimer, RAS mutation and cetuximab on progression-free survival (PFS) and overall survival (OS). All statistical tests were two-sided. RESULTS: LCA on a cohort of 398 patients revealed two patient subclasses with differing prognoses (median OS: 1624 days [95%CI=1466-1816] vs 461 [95%CI=431-504]): Class 1 (15.6%) showed a benefit from cetuximab in OS (HR = 0.43 [95%CI=0.25-0.76]; p = 0.004). Class 2 showed an association of increased HER2-HER3 with better OS (HR = 0.64 [95%CI=0.44-0.94]; p = 0.02). A class prediction signature was formed and tested on an independent validation cohort (N = 152) validating the prognostic utility of the dimer assay. Similar subclasses were also discovered in full trial dataset (N = 1,630) based on 10 baseline clinicopathological and genetic covariates. CONCLUSIONS: Our work suggests that the combined use of HER dimer imaging and conventional mutation analyses will be able to identify a small subclass of patients (>10%) who will have better prognosis following chemotherapy. A larger prospective cohort will be required to confirm its utility in predicting the outcome of anti-EGFR treatment

Design and development challenges for an E2E DRM content business integration platform

Current studies on Digital Rights Management (DRM) have focused on controlling access to and copies of contents, centered exclusively on the end of the value chain (end users). This focus has been oriented towards security and encryption as a means of solving the issue of illegal copying by purchasers. In this paper, we propose End-to-End Digital Rights Management (E2E DRM) that involves the protection of the content throughout the entire value chain. This concept is given form in the new technologies for representing intellectual property (IP) which, in a secure and unequivocal manner, identify the content at each point in the value chain: from the author to the end user, the content is identifiable in any of the transactions and statuses through which it passes. The key concept which E2E DRM must provide is not only the governability of access and copying, but also that of all the processes associated with the content business. We establish an E2E DRM model and architecture, and propose the R&D management of its design and implementation that makes it possible to protect content from content creator to purchaser. Finally, the paper also analyzes their impact from a global perspective

LibiD: Reliable identification of obfuscated third-party android libraries

Third-party libraries are vital components of Android apps, yet they can also introduce serious security threats and impede the accuracy and reliability of app analysis tasks, such as app clone detection. Several library detection approaches have been proposed to address these problems. However, we show these techniques are not robust against popular code obfuscators, such as ProGuard, which is now used in nearly half of all apps. We then present LibID, a library detection tool that is more resilient to code shrinking and package modification than state-of-the-art tools. We show that the library identification problem can be formulated using binary integer programming models. LibID is able to identify specific versions of third-party libraries in candidate apps through static analysis of app binaries coupled with a database of third-party libraries. We propose a novel approach to generate synthetic apps to tune the detection thresholds. Then, we use F-Droid apps as the ground truth to evaluate LibID under different obfuscation settings, which shows that LibID is more robust to code obfuscators than state-of-the-art tools. Finally, we demonstrate the utility of LibID by detecting the use of a vulnerable version of the OkHttp library in nearly 10% of 3,958 most popular apps on the Google Play Store.The Boeing Company, China Scholarship Council, Microsoft Researc