Factors influencing audio-visual comfort evaluation in the metro commercial space

Metro commercial spaces have a potential audio-visual problem because of lack of outside openings. China has built plenty metro commercial entities with its rapid urban development, in which the audio-visual comfort has been concerned as current situation is not good. In order to improve space quality and then enhance staying willing in the metro commercial space, this paper illustrates a study of influencing factors on aural and visual comfort in the metro commercial space. The study takes three metropolises (Shenzhen, Hong Kong and Guangzhou) into account and investigated 103 metro commercial cases. In the study, the spatial differences on aural and visual comfort were firstly examined, and then physical factors of the acoustic and visual environments were considered. It is found that correlations of various acoustic and visual environmental factors on aural and visual comfort were not significant as the correlation value is rather low. If taking spatial differences into account, closer relations could be found. It discovered that visual environmental factors could influence aural comfort, and the vice versa. The factors of saturation, brightness, illuminance and roughness from the visual environment, and sound level and sources from the acoustic environment, are significantly influence aural and visual comfort especially to a typical spatial type of the metro commercial space

En-face optical coherence tomography in the diagnosis and management of age-related macular degeneration and polypoidal choroidal vasculopathy

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A [4Fe-4S]-Fe(CO)(CN)-L-cysteine intermediate is the first organometallic precursor in [FeFe] hydrogenase H-cluster bioassembly.

Biosynthesis of the [FeFe] hydrogenase active site (the 'H-cluster') requires the interplay of multiple proteins and small molecules. Among them, the radical S-adenosylmethionine enzyme HydG, a tyrosine lyase, has been proposed to generate a complex that contains an Fe(CO)2(CN) moiety that is eventually incorporated into the H-cluster. Here we describe the characterization of an intermediate in the HydG reaction: a [4Fe-4S][(Cys)Fe(CO)(CN)] species, 'Complex A', in which a CO, a CN- and a cysteine (Cys) molecule bind to the unique 'dangler' Fe site of the auxiliary [5Fe-4S] cluster of HydG. The identification of this intermediate-the first organometallic precursor to the H-cluster-validates the previously hypothesized HydG reaction cycle and provides a basis for elucidating the biosynthetic origin of other moieties of the H-cluster

A method for exploring word‐colour associations

Strong associations exist between colours and concepts or words. Understanding these associations, sometimes referred to as colour emotions, is important for effective use of colour in art and design. Traditionally the relationships have been systematically explored in experiments where participants scale colours according to bipolar adjectives such as warm‐cool. In this article, a method for exploring the relationships between words and colours is suggested and is demonstrated. A psychophysical experiment is described where participants select colours based on words. The data are used to show that many similarities between the word‐colour relationships for UK and Chinese participants although some interesting differences are also revealed. The method makes explicit the observation that there is not a one‐to‐one relationship between words and colours. The method could be used to explore word‐colour relationship for specific words and participant groups or could be used to generate ground‐truth data for testing methods for automatically generating the word‐colour relationships

A metabolite-derived protein modification integrates glycolysis with KEAP1-NRF2 signalling.

Mechanisms that integrate the metabolic state of a cell with regulatory pathways are necessary to maintain cellular homeostasis. Endogenous, intrinsically reactive metabolites can form functional, covalent modifications on proteins without the aid of enzymes1,2, and regulate cellular functions such as metabolism3-5 and transcription6. An important 'sensor' protein that captures specific metabolic information and transforms it into an appropriate response is KEAP1, which contains reactive cysteine residues that collectively act as an electrophile sensor tuned to respond to reactive species resulting from endogenous and xenobiotic molecules. Covalent modification of KEAP1 results in reduced ubiquitination and the accumulation of NRF27,8, which then initiates the transcription of cytoprotective genes at antioxidant-response element loci. Here we identify a small-molecule inhibitor of the glycolytic enzyme PGK1, and reveal a direct link between glycolysis and NRF2 signalling. Inhibition of PGK1 results in accumulation of the reactive metabolite methylglyoxal, which selectively modifies KEAP1 to form a methylimidazole crosslink between proximal cysteine and arginine residues (MICA). This posttranslational modification results in the dimerization of KEAP1, the accumulation of NRF2 and activation of the NRF2 transcriptional program. These results demonstrate the existence of direct inter-pathway communication between glycolysis and the KEAP1-NRF2 transcriptional axis, provide insight into the metabolic regulation of the cellular stress response, and suggest a therapeutic strategy for controlling the cytoprotective antioxidant response in several human diseases

A fully-automated paper ECG digitisation algorithm using deep learning

There is increasing focus on applying deep learning methods to electrocardiograms (ECGs), with recent studies showing that neural networks (NNs) can predict future heart failure or atrial fibrillation from the ECG alone. However, large numbers of ECGs are needed to train NNs, and many ECGs are currently only in paper format, which are not suitable for NN training. We developed a fully-automated online ECG digitisation tool to convert scanned paper ECGs into digital signals. Using automated horizontal and vertical anchor point detection, the algorithm automatically segments the ECG image into separate images for the 12 leads and a dynamical morphological algorithm is then applied to extract the signal of interest. We then validated the performance of the algorithm on 515 digital ECGs, of which 45 were printed, scanned and redigitised. The automated digitisation tool achieved 99.0% correlation between the digitised signals and the ground truth ECG (n = 515 standard 3-by-4 ECGs) after excluding ECGs with overlap of lead signals. Without exclusion, the performance of average correlation was from 90 to 97% across the leads on all 3-by-4 ECGs. There was a 97% correlation for 12-by-1 and 3-by-1 ECG formats after excluding ECGs with overlap of lead signals. Without exclusion, the average correlation of some leads in 12-by-1 ECGs was 60–70% and the average correlation of 3-by-1 ECGs achieved 80–90%. ECGs that were printed, scanned, and redigitised, our tool achieved 96% correlation with the original signals. We have developed and validated a fully-automated, user-friendly, online ECG digitisation tool. Unlike other available tools, this does not require any manual segmentation of ECG signals. Our tool can facilitate the rapid and automated digitisation of large repositories of paper ECGs to allow them to be used for deep learning projects

Determining the neurotransmitter concentration profile at active synapses

Establishing the temporal and concentration profiles of neurotransmitters during synaptic release is an essential step towards understanding the basic properties of inter-neuronal communication in the central nervous system. A variety of ingenious attempts has been made to gain insights into this process, but the general inaccessibility of central synapses, intrinsic limitations of the techniques used, and natural variety of different synaptic environments have hindered a comprehensive description of this fundamental phenomenon. Here, we describe a number of experimental and theoretical findings that has been instrumental for advancing our knowledge of various features of neurotransmitter release, as well as newly developed tools that could overcome some limits of traditional pharmacological approaches and bring new impetus to the description of the complex mechanisms of synaptic transmission

Tag-Aware Recommender Systems: A State-of-the-art Survey

In the past decade, Social Tagging Systems have attracted increasing attention from both physical and computer science communities. Besides the underlying structure and dynamics of tagging systems, many efforts have been addressed to unify tagging information to reveal user behaviors and preferences, extract the latent semantic relations among items, make recommendations, and so on. Specifically, this article summarizes recent progress about tag-aware recommender systems, emphasizing on the contributions from three mainstream perspectives and approaches: network-based methods, tensor-based methods, and the topic-based methods. Finally, we outline some other tag-related works and future challenges of tag-aware recommendation algorithms.Comment: 19 pages, 3 figure

A meta-analysis on the effect of corticosteroid therapy in Kawasaki disease

The current recommended therapy for Kawasaki disease (KD) is the combination of intravenous immunoglobulin (IVIG) and aspirin. However, the role of corticosteroid therapy in KD remains controversial. Using meta-analysis, this study aimed to investigate the efficacy of corticosteroid therapy in KD by comparing it with standard IVIG and aspirin therapy. We included all related randomized and quasi-randomized controlled trials by searching Medline, the Cochrane Central Register of Controlled Trials, EMBASE, Pub Med, Chinese BioMedical Literature Database, China National Knowledge Infrastructure, and the Japanese database (Japan Science and Technology) as well as hand searches of selected references. Data collection and meta-analysis were performed to evaluate the effect of corticosteroids. Our search yielded 11 studies; 7 of which evaluated the effect of corticosteroid for primary therapy in KD, and 4 investigated the effect of corticosteroid therapy in IVIG-resistant patients. Meta-analysis of these studies revealed a significant reduction in the rates of initial treatment failure among patients who received corticosteroid therapy in combination with IVIG compared to IVIG alone (odds ratio (OR) = 0.50; 95% CI, 0.32~0.79; p = 0.003). Furthermore, the use of corticosteroids reduced the duration of fever and the time required for C-reactive protein to return to normal. Our data did not show any significant increase in the incidence of coronary artery lesions or coronary aneurysms (OR = 0.67; 95% CI, 0.35~1.28; p = 0.23) in the corticosteroid group. Conclusion. Corticosteroid combined with IVIG in primary treatment or as treatment of IVIG-resistant patients improved clinical course without increasing coronary artery lesions in children with acute KD