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Over the last decade, mobile health applications (m-Health App) have evolved exponentially to assess and support our health and well-being. Objective: This paper presents an Artificial Intelligence (AI) enabled mHealth app rating tool, called ...

Previous research suggests that client politics shape national migration laws in that they converge towards more liberal regulations. An examination of recently released cross-country data suggests, however, that there is little support for either ...

Legumes express two major types of hemoglobins, namely symbiotic (leghemoglobins) and non-symbiotic (phytoglobins), with the latter being categorized into three classes according to phylogeny and biochemistry. Using knockout mutants, we show that ...

In this paper we provide a general mathematical framework for distributional trans-forms, which allows for many examples that are used extensively in the literature of finance, economics and optimization. We put a special focus on the class of ...

This paper focuses on the impact of financial fragmentation on small and medium enterprises (SMEs)? access to finance. We combine country-level data on financial fragmentation and the ECB?s SAFE (Survey on the Access to Finance of Enterprises) data ...

In this paper, we present a novel approach for forecasting Value-at-Risk (VaR) by combining a Bayesian GARCH(1,1) model with Student's-t distribution for the underlying volatility models, vine copula functions to model dependence, and ...

Background Aphasia negatively impacts face-to-face social participation and the difficulties that people experience using the phone exacerbate these challenges in staying in touch with family and friends. Videoconferencing enables multimodal ...

Attention models are proposed in sentiment analysis and other classification tasks because some words are more important than others to train the attention models. However, most existing methods either use local context based information, affective ...

Finding meaningful clusters in drive-by-download malware data is a particularly difficult task. Malware data tends to contain overlapping clusters with wide variations of cardinality. This happens because there can be considerable similarity between ...

Corporate social responsibility (CSR) research has mainly focused on understanding the antecedents and outcomes of CSR adoption. Yet, little is known about the organisational process of ?CSR engagement? and how this would affect organisational ...