Second-Order Belief Hidden Markov Models

Hidden Markov Models (HMMs) are learning methods for pattern recognition. The probabilistic HMMs have been one of the most used techniques based on the Bayesian model. First-order probabilistic HMMs were adapted to the theory of belief functions such that Bayesian probabilities were replaced with mass functions. In this paper, we present a second-order Hidden Markov Model using belief functions. Previous works in belief HMMs have been focused on the first-order HMMs. We extend them to the second-order model

Diversification of myco-heterotrophic angiosperms: evidence from Burmanniaceae.

Background - Myco-heterotrophy evolved independently several times during angiosperm evolution. Although many species of myco-heterotrophic plants are highly endemic and long-distance dispersal seems unlikely, some genera are widely dispersed and have pantropical distributions, often with large disjunctions. Traditionally this has been interpreted as evidence for an old age of these taxa. However, due to their scarcity and highly reduced plastid genomes our understanding about the evolutionary histories of the angiosperm myco-heterotrophic groups is poor. Results - We provide a hypothesis for the diversification of the myco-heterotrophic family Burmanniaceae. Phylogenetic inference, combined with biogeographical analyses, molecular divergence time estimates, and diversification analyses suggest that Burmanniaceae originated in West Gondwana and started to diversify during the Late Cretaceous. Diversification and migration of the species-rich pantropical genera Burmannia and Gymnosiphon display congruent patterns. Diversification began during the Eocene, when global temperatures peaked and tropical forests occurred at low latitudes. Simultaneous migration from the New to the Old World in Burmannia and Gymnosiphon occurred via boreotropical migration routes. Subsequent Oligocene cooling and breakup of boreotropical flora ended New-Old World migration and caused a gradual decrease in diversification rate in Burmanniaceae. Conclusion - Our results indicate that extant diversity and pantropical distribution of myco-heterotrophic Burmanniaceae is the result of diversification and boreotropical migration during the Eocene when tropical rain forest expanded dramaticall

Classification of Message Spreading in a Heterogeneous Social Network

Nowadays, social networks such as Twitter, Facebook and LinkedIn become increasingly popular. In fact, they introduced new habits, new ways of communication and they collect every day several information that have different sources. Most existing research works fo-cus on the analysis of homogeneous social networks, i.e. we have a single type of node and link in the network. However, in the real world, social networks offer several types of nodes and links. Hence, with a view to preserve as much information as possible, it is important to consider so-cial networks as heterogeneous and uncertain. The goal of our paper is to classify the social message based on its spreading in the network and the theory of belief functions. The proposed classifier interprets the spread of messages on the network, crossed paths and types of links. We tested our classifier on a real word network that we collected from Twitter, and our experiments show the performance of our belief classifier

Are care staff equipped for end-of-life communication? : a cross-sectional study in long-term care facilities to identify determinants of self-efficacy

Background: End-of-life conversations are rarely initiated by care staff in long-term care facilities. A possible explanation is care staff's lack of self-efficacy in such conversations. Research into the determinants of self-efficacy for nurses and care assistants in end-of-life communication is scarce and self-efficacy might differ between care staff of mental health facilities, nursing homes, and care homes. This study aimed to explore differences between care staff in mental health facilities, nursing homes, and care homes with regard to knowledge about palliative care, time pressure, and self-efficacy in end-of-life communication, as well as aiming to identify determinants of high self-efficacy in end-of-life communication. Methods: Two cross-sectional Dutch studies, one in mental health facilities and one in nursing and care homes (PACE study). Nurses and care assistants were invited to complete a questionnaire in 2015. Multivariable logistic regression analyses were performed to identify determinants of high self-efficacy. Results: Five hundred forty one nurses and care assistants completed a survey; 137 worked in mental health facilities, 172 in nursing homes, and 232 in care homes. Care staff at mental health facilities were the most knowledgeable about the World Health Organization's definition of palliative care: 76% answered 4-5 out of 5 items correctly compared to 38% of nursing home staff and 40% of care home staff (p 36, female, with formal palliative care training, and knowledge of the palliative care definition. Conclusion: Mental healthcare staff knew more about palliative care and had higher self-efficacy in end-of-life communication compared to nursing and care home staff. Educating care staff about providing palliative care and training them in it might improve end-of-life communication in these facilities