5,497 research outputs found
sj-pdf-1-sci-10.1177_00368504241231154 - Supplemental material for Mesenchymal stem cells reduce long-term cognitive deficits and attenuate myelin disintegration and microglia activation following repetitive traumatic brain injury
No full textSupplemental material, sj-pdf-1-sci-10.1177_00368504241231154 for Mesenchymal stem cells reduce long-term cognitive deficits and attenuate myelin disintegration and microglia activation following repetitive traumatic brain injury by Lan-Wan Wang, Chung-Ching Chio, Chien-Ming Chao, Pi-Yu Chao and
Mao-Tsun Lin, Ching-Ping Chang, Hung-Jung Lin in Science Progress</p
Distributed human computation framework for linked data co-reference resolution
Full text linkDistributed Human Computation (DHC) is a technique used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI is envisioned to be a decentralised world-wide information space for sharing machine-readable data with minimal integration costs. There are many research problems in the Semantic Web that are considered as AI-complete problems. An example is co-reference resolution, which involves determining whether different URIs refer to the same entity. This is considered to be a significant hurdle to overcome in the realisation of large-scale Semantic Web applications. In this paper, we propose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the concept, we are focusing on handling the co-reference resolution in the Semantic Web when integrating distributed datasets. The traditional way to solve this problem is to design machine-learning algorithms. However, they are often computationally expensive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co-reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various publication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a distributed manner. The aggregated results are published to the Linked Data Cloud
Assessment of atmospheric ultrafine carbon particle-induced human health risk based on surface area dosimetry
No full textHypoxic-State Estimation of Brain Cells by Using Wireless Near-Infrared Spectroscopy
No full textNear-infrared spectroscopy (NIRS) is a modern measuring technology in neuroscience. It can be used to noninvasively measure the relative concentrations of oxyhemoglobin (OxyHb) and deoxyhemoglobin (DeoHb), which can reflect information related to cerebral blood volume and cerebral oxygen saturation. Therefore, it has the potential for noninvasive monitoring of cerebral ischemia. However, there is still a lack of reliable physiological information on the relationship between the concentrations of OxyHb and DeoHb in cerebral blood and the exact hypoxic state of brain cells under cerebral ischemia. In this study, we describe a wireless multichannel NIRS system, which we designed to noninvasively monitor the relative concentrations of OxyHb and DeoHb in bilateral cerebral blood before, during, and after middle cerebral artery occlusion. By comparing the results with the lactate/pyruvate ratio measured by microdialysis, we investigated the correlation between the relative concentrations of OxyHb and DeoHb in cerebral blood and the hypoxic state of brain cells. The results showed that the relationship between the concentration changes of DeoHb in cerebral blood and the hypoxic state of brain cells was significant. Therefore, by monitoring the changes in concentrations of DeoHb, the wireless NIRS can be used to estimate the hypoxic state of brain cells indirectly
The nomenclature of the lycophyte species Phlegmariurus mingcheensis Ching (Huperziaceae)
No full textIn 1982, Ren Chang Ching twice described the same lycophyte species under the names Lycopodium mingcheense (published in April; the original "minchegense" spelling being a correctable error) and Phlegmariurus mingcheensis Ching (published in May). Phlegmariurus mingcheensis cannot be taken as a combination based on Lycopodium mingcheense because in the original publication a different holotype was indicated and the name Lycopodium mingcheense was not mentioned. The correct names for this species in Huperzia, Lycopodium, and Phlegmariurus are Huperzia mingcheensis (Ching) Holub (basionym: Phlegmariurus mingcheensis), Lycopodium mingcheense Ching, and Phlegmariurus mingcheensis Ching, respectively. The recent lectotypification of the name Lycopodium mingcheense using P.S. Chiu 2069 (PE) was redundant since this specimen was clearly indicated as the holotype in Ching's original publication. The recent new name Phlegmariurus mingjoui X.C. Zhang is an illegitimate superfluous name
Assessing airborne PM-bound arsenic exposure risk in semiconductor manufacturing facilities
No full textModel-based assessment for human inhalation exposure risk to airborne nano/fine titanium dioxide particles
No full textAssessing the airborne titanium dioxide nanoparticle-related exposure hazard at workplace
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