| 1. |
- Zhao, Jing, et al.
(författare)
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Issues of Routing Protocol for Wireless Industrial Sensor Networks
- 2012
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Ingår i: Proceedings. - : IEEE conference proceedings. - 9781467324199 ; , s. 3225-3230
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Konferensbidrag (refereegranskat)abstract
- With the success of wireless technologies and the number of wireless devices increasing, the wireless coverage footprint expands and removes the needs of wired networks for industrial applications. Wireless industrial sensor networks (WISNs) are a type of wireless sensor networks (WSNs), which dedicate to industrial applications. The WISNs bring several advantages over traditional wired industrial networks for detection and control, include flexibility, scalability, remote maintenance, and rapid deployment. However, some technical issues and routing design principles need to be noticed in terms of the stringent requirements of industrial applications. In this paper, we firstly introduce the characteristics and some routing issues of WISNs. Then we discuss existing routing protocols for WISNs and analysis their performances. Finally, we outline several future research directions.
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| 2. |
- Zhao, Jing, et al.
(författare)
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Learning from heterogeneous temporal data from electronic health records
- 2017
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Ingår i: Journal of Biomedical Informatics. - : Academic Press. - 1532-0464 .- 1532-0480. ; 65, s. 105-119
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Tidskriftsartikel (refereegranskat)abstract
- Electronic health records contain large amounts of longitudinal data that are valuable for biomedical informatics research. The application of machine learning is a promising alternative to manual analysis of such data. However, the complex structure of the data, which includes clinical events that are unevenly distributed over time, poses a challenge for standard learning algorithms. Some approaches to modeling temporal data rely on extracting single values from time series; however, this leads to the loss of potentially valuable sequential information. How to better account for the temporality of clinical data, hence, remains an important research question. In this study, novel representations of temporal data in electronic health records are explored. These representations retain the sequential information, and are directly compatible with standard machine learning algorithms. The explored methods are based on symbolic sequence representations of time series data, which are utilized in a number of different ways. An empirical investigation, using 19 datasets comprising clinical measurements observed over time from a real database of electronic health records, shows that using a distance measure to random subsequences leads to substantial improvements in predictive performance compared to using the original sequences or clustering the sequences. Evidence is moreover provided on the quality of the symbolic sequence representation by comparing it to sequences that are generated using domain knowledge by clinical experts. The proposed method creates representations that better account for the temporality of clinical events, which is often key to prediction tasks in the biomedical domain.
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| 3. |
- Zhao, Jing, et al.
(författare)
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Nociceptor-expressed ephrin-B2 regulates inflammatory and neuropathic pain
- 2010
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Ingår i: Molecular Pain. - : SAGE Publications. - 1744-8069. ; 6, s. 77-
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Tidskriftsartikel (refereegranskat)abstract
- Background:EphB receptors and their ephrin-B ligands play an important role in nervous system development, as well as synapse formation and plasticity in the adult brain. Recent studies show that intrathecal treatment with EphB-receptor activator ephrinB2-Fc induced thermal hyperalgesia and mechanical allodynia in rat, indicating that ephrin-B2 in small dorsal root ganglia (DRG) neurons and EphB receptors in the spinal cord modulate pain processing. To examine the role of ephrin-B2 in peripheral pain pathways, we deleted ephrin-B2 in Nav1.8+ nociceptive sensory neurons with the Cre-loxP system. Sensory neuron numbers and terminals were examined using neuronal makers. Pain behavior in acute, inflammatory and neuropathic pain models was assessed in the ephrin-B2 conditional knockout (CKO) mice. We also investigated the c-Fos expression and NMDA receptor NR2B phosphorylation in ephrin-B2 CKO mice and littermate controls.Results:The ephrin-B2 CKO mice were healthy with no sensory neuron loss. However, pain-related behavior was substantially altered. Although acute pain behavior and motor co-ordination were normal, inflammatory pain was attenuated in ephrin-B2 mutant mice. Complete Freund's adjuvant (CFA)-induced mechanical hyperalgesia was halved. Formalin-induced pain behavior was attenuated in the second phase, and this correlated with diminished tyrosine phosphorylation of N-methyl-D-aspartic acid (NMDA) receptor subunit NR2B in the dorsal horn. Thermal hyperalgesia and mechanical allodynia were significantly reduced in the Seltzer model of neuropathic pain.Conclusions:Presynaptic ephrin-B2 expression thus plays an important role in regulating inflammatory pain through the regulation of synaptic plasticity in the dorsal horn and is also involved in the pathogenesis of some types of neuropathic pain.
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| 6. |
- Fu, Xi, et al.
(författare)
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Associations between respiratory infections and bacterial microbiome in student dormitories in Northern China.
- 2020
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Ingår i: Indoor Air. - : Hindawi Limited. - 0905-6947 .- 1600-0668. ; 30:5, s. 816-826
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Tidskriftsartikel (refereegranskat)abstract
- Recent studies reveal that the microbial diversity and composition in the respiratory tract are related to the susceptibility, development, and progression of respiratory infections. Indoor microorganisms can transmit into the respiratory tract through breathing, but their role in infections is unclear. Here, we present the first association study between the indoor microbiome and respiratory infections. In total, 357 students living in 86 dormitory rooms in Shanxi University were randomly selected to survey symptoms of infections. Settled air dust was collected to characterize bacterial compositions by 16S rRNA sequencing. The overall microbial richness was not associated with respiratory infections, but microorganisms from specific phylogenetic classes showed various associations. Taxa richness and abundance of Actinobacteria were protectively associated with infections (P < .05). The abundance of several genera in Gammaproteobacteria, including Haemophilus, Klebsiella, Buttiauxella, and Raoultella, was positively associated with infections (P < .005). The role of these microorganisms was consistent with previous human microbiota studies. Building age was associated with the overall microbial composition variation in dormitories and negatively associated with three potential risk genera in Proteobacteria (P < .05). The weight of vacuum dust was positively associated with a protective genus, Micrococcus in Actinobacteria (P < .05).
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| 7. |
- Kajonius, Petri J.
(författare)
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Honesty-Humility predicting self-estimated academic performance
- 2016
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Ingår i: International Journal of Personality Psychology. - : University of Groningen Press. - 2451-9243. ; 2:1, s. 1-6
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Tidskriftsartikel (refereegranskat)abstract
- Previous research has established relationships between the Big Five personality factors, cognitive ability, and academic performance. A more recent personality trait, Honesty-Humility with its four facets (Sincerity, Fairness, Greed-avoidance and Modesty) is suggested to have predictive value especially in self-promoting behaviors. The aim of the present study was to find out whether lower Honesty-Humility would predict higher self-reported academic performance, and account for additional variance, after controlling for the Big Five and cognitive ability. The participants were Swedish 17-19 year-old students (N = 154) in late secondary high school. The results revealed a significant negative correlation between Honesty-Humility and self-estimated academic performance, mainly through low scores in the facets Sincerity and Modesty, as well as an additional 7% accounted for variance. The discussion concludes that the new trait Honesty-Humility may be a welcomed addition to the understanding of how students use self-promoting strategies in contemporary school.
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| 8. |
- Lindberg, Fredrik, 1974, et al.
(författare)
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The impact of urban planning strategies on heat stress in a climate-change perspective
- 2016
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Ingår i: Sustainable Cities and Society. - : Elsevier BV. - 2210-6707. ; 25, s. 1-12
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Tidskriftsartikel (refereegranskat)abstract
- Spatial and temporal characteristics of outdoor heat stress for a redevelopment area in Gothenburg, Sweden, in a climate change perspective, using mean radiant temperature (Tmrt) as a proxy for heat stress are presented. The impact of climate change on Tmrt was evaluated using statistically downscaled data from a regional climate model. The simulated average Tmrt for the future scenarios was not higher than for today’s climate, because the increased longwave radiation fluxes caused by higher temperatures were offset by reduced shortwave radiation fluxes caused by increased cloudiness. The spatial pattern of Tmrt in the study area during warm and clear weather is primarily governed by the shadow patterns of buildings and vegetation. The highest average-daytime Tmrt was found at open locations, but because open areas also have the highest frequency of sunlit occasions, this does not necessarily imply that open areas are most prone to heat-stress. When considering only occasions during clear and warm weather situations, the highest Tmrt were usually found close to sun-exposed, south-facing walls. Under these criteria, denser urban environments have lower heat stress than more open urban environments. The warmest areas were also found to be the warmest areas in the future as well. Tree-shadows are an effective measure to reduce daytime Tmrt. Trees was found to have the largest impact on Tmrt in open areas where vegetation is sparse, especially when the distance to the nearest “cool” place is used as a measure of heat-stress.
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