This paper presents link prediction of Linked Open Data (LOD) by Multiple Label Propagation Algorithm (MLPA). The current LOD do not have enough links. Therefore, the LOD have not been able to exert so much semantic c...
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ISBN:
(纸本)9781509023349
This paper presents link prediction of Linked Open Data (LOD) by Multiple Label Propagation Algorithm (MLPA). The current LOD do not have enough links. Therefore, the LOD have not been able to exert so much semantic characteristics. In order to solve this problem, we proposed the MLPA considering semantic distance. The MLPA can expand potential links of each data contained in the LOD. The experimental result of the MLPA shows the good performance and the validity of this algorithm is confirmed.
A correction to the article 'Diet Versus Phylogeny: A Comparison of Gut Microbiota in Captive Colobine Monkey Species' that was published in the previous issue is presented.
A correction to the article 'Diet Versus Phylogeny: A Comparison of Gut Microbiota in Captive Colobine Monkey Species' that was published in the previous issue is presented.
Background: The sustainable development goals (SDGs) aim to end HIV/AIDS as a public health threat by 2030. Understanding the current state of the HIV epidemic and its change over time is essential to this effort. Thi...
Background: The sustainable development goals (SDGs) aim to end HIV/AIDS as a public health threat by 2030. Understanding the current state of the HIV epidemic and its change over time is essential to this effort. This study assesses the current sex-specific HIV burden in 204 countries and territories and measures progress in the control of the epidemic. Methods: To estimate age-specific and sex-specific trends in 48 of 204 countries, we extended the Estimation and Projection Package Age-Sex Model to also implement the spectrum paediatric model. We used this model in cases where age and sex specific HIV-seroprevalence surveys and antenatal care-clinic sentinel surveillance data were available. For the remaining 156 of 204 locations, we developed a cohort-incidence bias adjustment to derive incidence as a function of cause-of-death data from vital registration systems. The incidence was input to a custom Spectrum model. To assess progress, we measured the percentage change in incident cases and deaths between 2010 and 2019 (threshold >75% decline), the ratio of incident cases to number of people living with HIV (incidence-to-prevalence ratio threshold <0·03), and the ratio of incident cases to deaths (incidence-to-mortality ratio threshold <1·0). Findings: In 2019, there were 36·8 million (95% uncertainty interval [UI] 35·1–38·9) people living with HIV worldwide. There were 0·84 males (95% UI 0·78–0·91) per female living with HIV in 2019, 0·99 male infections (0·91–1·10) for every female infection, and 1·02 male deaths (0·95–1·10) per female death. Global progress in incident cases and deaths between 2010 and 2019 was driven by sub-Saharan Africa (with a 28·52% decrease in incident cases, 95% UI 19·58–35·43, and a 39·66% decrease in deaths, 36·49–42·36). Elsewhere, the incidence remained stable or increased, whereas deaths generally decreased. In 2019, the global incidence-to-prevalence ratio was 0·05 (95% UI 0·05–0·06) and the global incidence-to-mortality ratio was
This paper's main goal is to structure an initial research on the Software Ecosystem (SECO) field, regarding the so called CAMSS (Cloud, Analytics, Mobile, Social and Security) and IoT (Internet of Things) technol...
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This paper's main goal is to structure an initial research on the Software Ecosystem (SECO) field, regarding the so called CAMSS (Cloud, Analytics, Mobile, Social and Security) and IoT (Internet of Things) technologies. Our main goal is to share our first ideas and some observations we have been conducting in an empirical way. As such, Cloud SECOs bring the ecosystem environment to another level, with new challenges in all three dimensions: technology, social and business. Besides that, we have been observing a possible shift in the center of some SECOs, i.e., Those "things" connected to the Internet have introduced new players - at least in the sense they interact with the environment by providing data. As new software architectures and technologies emerge to support the new scenario being drawn, our research tries to characterize this new ecosystem and identify challenges, providing a roadmap that could help new entrants.
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