Self-Destructive Structural Color Liquids for Time-Temperature Indicating.

Vaccines are undoubtedly a powerful weapon in our fight against global pandemics, as demonstrated in the recent COVID-19 case, yet they often face significant challenges in reliable cold chain transport. Despite extensive efforts to monitor their time-temperature history, current time-temperature indicators (TTIs) suffer from limited reliability and stability, such as difficulty in avoiding human intervention, inapplicable to subzero temperatures, narrow tracking temperature ranges, or susceptibility to photobleaching. Herein, we develop a class of structural color materials that harnesses dual merits of fluidic nature and structural color, enabling thermal-triggered visible color destruction based on triggering agent-diffusion-induced irreversible disassembly of liquid colloidal photonic crystals for indicating the time-temperature history of the cold chain transport. These self-destructive structural color liquids (SCLs) exhibit inherent irreversibility, superior sensitivity, tunable self-destructive time (minutes to days), and a wide tracking temperature range (-70 to +37 °C). Such self-destructive SCLs can be conveniently packaged into flexible TTIs for monitoring the storage and exposure status of diverse vaccines via naked-eye inspection or mobile phone scanning. By overcoming the shortcomings inherent in conventional TTIs and responsive photonic crystals, these self-destructive SCLs can increase their compatibility with cold chain transport and hold promise for the development and application of the next-generation intelligent TTIs and photonic crystals.

Outcomes of COVID-19 manuscripts submitted to the Canadian Journal of Anesthesia: a retrospective audit of author gender and person of colour status.

PURPOSE: We aimed to evaluate the representation of women and persons of colour (POC) authors of COVID-19 manuscripts submitted to, accepted in, and rejected from the Journal and to evaluate trends in their representation during the pandemic. METHODS: All COVID-19 manuscripts submitted to the Journal between 1 February 2020 and 30 April 2021 were included. Manuscript data were retrieved from Editorial Manager, and gender and POC status were obtained through: 1) e-mail communication with corresponding authors; 2) e-mail queries to other coauthors; 3) NamSor software, and 4) Internet searches. The data were described using percentages and summary statistics. A two-sample test of proportions was used for comparisons and trends were analyzed with linear regression. RESULTS: We identified 314 manuscripts (1,555 authors), 95 (461 authors) of which were accepted for publication. Of all authors, 515 (33%) were women, and women were the lead and senior authors of 101 (32%) and 69 (23%) manuscripts, respectively. There were no differences in women's representation as authors between accepted and rejected manuscripts. Overall, 923/1,555 (59%) authors were identified as POC, with a significantly lower proportion of POC authors among accepted vs rejected manuscripts (41%, 188/461 vs 67%, 735/1,094; difference, -26%; 95% CI, -32 to -21; P < 0.001). We did not observe significant trends in the proportion of women and POC authors over the study period. CONCLUSION: The proportion of women authors of COVID-19 manuscripts was lower than men's representation. Further research is required to determine the factors that account for the higher proportion of POC authors across rejected manuscripts.

RéSUMé: OBJECTIF: Nous avions pour objectif d'évaluer la représentation des femmes et des personnes de couleur ayant rédigé des manuscrits portant sur la COVID-19 soumis, acceptés et rejetés au Journal et d'évaluer les tendances concernant leur représentation pendant la pandémie. MéTHODE: Tous les manuscrits portant sur la COVID-19 soumis au Journal entre le 1er février 2020 et le 30 avril 2021 ont été inclus. Les données des manuscrits ont été extraites de la plateforme de gestion des manuscrits Editorial Manager, et le sexe et le statut de personne de couleur ont été obtenus par : 1) la communication par courrier électronique avec les auteurs et autrices correspondant·es; 2) des requêtes par courrier électronique envoyées à d'autres coautrices et coauteurs; 3) le logiciel NamSor, et 4) des recherches sur Internet. Les données ont été décrites à l'aide de pourcentages et de statistiques sommaires. Un test de proportions à deux échantillons a été utilisé pour les comparaisons et les tendances ont été analysées par régression linéaire. RéSULTATS: Nous avons identifié 314 manuscrits (1555 auteurs et autrices), dont 95 (461 autrices et auteurs) ont été acceptés pour publication. Parmi tou·tes les auteurs/autrices, 515 (33 %) étaient des femmes, et les femmes étaient les autrices principales et senior de 101 (32 %) et 69 (23 %) manuscrits, respectivement. Il n'y avait aucune différence dans la représentation des femmes en tant qu'autrices entre les manuscrits acceptés et rejetés. Dans l'ensemble, 923/1555 (59 %) auteurs et autrices ont été identifié·es comme étant des personnes de couleur, avec une proportion significativement plus faible d'autrices et d'auteurs de couleur parmi les manuscrits acceptés vs rejetés (41 %, 188/461 vs 67 %, 735/1094; différence, -26 %; IC 95 %, -32 à -21; P < 0,001). Nous n'avons pas observé de tendances significatives dans la proportion d'auteurs et d'autrices femmes et de couleur au cours de la période à l'étude. CONCLUSION: La proportion de femmes autrices de manuscrits sur la COVID-19 était inférieure à celle des hommes. D'autres recherches sont nécessaires pour déterminer les facteurs qui expliquent la plus grande proportion d'autrices et d'auteurs de couleur parmi les manuscrits rejetés.

Colour Preference and Healing in Digital Roaming Landscape: A Case Study of Mental Subhealth Populations.

From the perspective of emotional preference, studies have been conducted about landscape healing for subhealth people in the National High-Tech Zone (the study area). Combined with a preliminary practice investigation, Unity 2019 was used to make a digital roaming landscape, and 91 subjects with a history of mental subhealth diseases were randomly invited to participate in the immersive experimentation of the Human-Machine Environment Synchronisation (ErgoLAB) platform. After the experiment, the subjects were invited to fill in a Likert scale as the control group. The interest preference, emotion fluctuation, and healing effect of landscape colour were verified. The results show that: (1) The variation trend of interest reflected the concentration of interest in landscape, and the order of degree of interest, ranging from high to low, went Green > Yellow > Blue > Red > Orange > Purple > Cyan. (2) The subjects' interest in landscape colour was correlated with the arousal of positive emotions. The correlation between interest in landscape colour and positive emotions, from high to low, went Blue > Green > Yellow, while the correlation between red, cyan, orange, and purple was not significant. (3) The mean skin conductance (SC) fluctuation variance of subjects was 5.594%, which confirmed that the healing effect of digital roaming landscape scenes was significant under the state of low arousal. According to the Likert scale data, subjects' scores of the healing effect of landscapes, from high to low, went as follows: Green > Yellow > Red > Blue > Cyan > Orange > Purple. The results provide a new method for demonstrating the logical relationship between the digital landscape interest experience-emotional awakening-healing effect and providing a theoretical method and construction scheme for landscape colour configuration in the implementation of landscape healing projects.

Effects of Changes in Environmental Color Chroma on Heart Rate Variability and Stress by Gender.

With increasing time spent indoors during the coronavirus disease pandemic, occupants are increasingly affected by indoor space environmental factors. Environmental color stimulates human vision and affects stress levels. This study investigated how changing environmental color chroma affected heart rate variability (HRV) and stress. The HRV of nine males and fifteen females was measured during exposure to 12 color stimuli with changes in chroma under green/blue hues and high/low-value conditions, and a stress assessment was performed. The effect of chroma on the HRV of males and females was verified, but the interaction effect between chroma and gender was not. ln(LF) and RMSSD were valid parameters. ln(LF) of males and females decreased as chroma increased under the green hue and low-value conditions; RMSSD was reduced as chroma increased in the blue hue and low-value conditions. ln(LF) decreased as chroma increased under blue hue and high-value conditions in males. Color-stress evaluation revealed that the higher chroma under high-value conditions, the more positive the stress emotion, and the lower the chroma under low-value conditions, the more negative the stress emotion. As chroma increased under low-value conditions, color is a stress factor; for men, this effect was more evident in the blue hue.

Masked emotions: Do face mask patterns and colors affect the recognition of emotions?

Previous research has shown that face masks impair the ability to perceive social information and the readability of emotions. These studies mostly explored the effect of standard medical, often white, masks on emotion recognition. However, in reality, many individuals prefer masks with different styles. We investigated whether the appearance of the mask (pattern: angular vs. curvy and color: black vs. white) affected the recognition of emotional states. Participants were asked to identify the emotions on faces covered by masks with different designs. The presence of masks resulted in decreasing accuracy and confidence and increasing reaction times, indicating that masks impair emotion recognition. There were no significant effects of angularity versus curvature or color on emotion recognition, which suggests that mask design may not impair the recognition beyond the effect of mere mask wearing. Besides, we found relationships between individual difference variables such as mask wearing attitudes, mask design preferences, individual traits and emotion recognition. The majority of participants demonstrated positive attitudes toward mask wearing and preferred non-patterned black and white masks. Preferences for white masks were associated with better emotion recognition of masked faces. In contrast, those with negative attitudes toward masks showed marginally poorer performance in emotion recognition for masked faces, and preferred patterned more than plain masks, perhaps viewing masks as a fashion item rather than a necessity. Moreover, preferences to wear patterned masks were negatively related to actual wearing of masks indoors and perceived risks of COVID.

N-gene-complementary antisense-oligonucleotide directed molecular aggregation of dual-colour carbon dots, leading to efficient fluorometric sensing of SARS-COV-2 RNA.

The early stages of the COVID-19 pandemic punctuated the need for rapid, mass testing for early detection of viral infection. Carbon dots are easily synthesized, cost-effective fluorescent nanoparticles whose surface functionalities enable facile conjugation with biorecognition elements suitable for  molecular detection of viral RNA. Herein, we report that a pair of complementary antisense oligonucleotide (ASO) sequences can lead to a highly specific molecular aggregation of dual colour carbon dots (CDs) in the presence of SARS-CoV-2 RNA. The nanoprobes used ASOs highly specific to the N-gene of SARS-COV-2. When the ASOs are conjugated to blue and yellow citric acid-derived CDs, the combination of the ASO-CD pairs facilitates aggregation-induced emission enhancement (AIEE) of the measured fluorescence after hybridization with SARS-CoV-2 RNA. We found the sensor capable of differentiating between MERS-CoV and SARS-CoV-2 samples and was found to have a limit of detection of 81 copies per µL. Additionally, we used dialysis to demonstrate that the change in emission upon aggregation is dependent on the compositional heterogeneity of the conjugated-carbon dot mixture.

A Dual-Color Fluorescent Probe Allows Simultaneous Imaging of Main and Papain-like Proteases of SARS-CoV-2-Infected Cells for Accurate Detection and Rapid Inhibitor Screening.

The main protease (Mpro ) and papain-like protease (PLpro ) play critical roles in SARS-CoV-2 replication and are promising targets for antiviral inhibitors. The simultaneous visualization of Mpro and PLpro is extremely valuable for SARS-CoV-2 detection and rapid inhibitor screening. However, such a crucial investigation has remained challenging because of the lack of suitable probes. We have now developed a dual-color probe (3MBP5) for the simultaneous detection of Mpro and PLpro by fluorescence (or Förster) resonance energy transfer (FRET). This probe produces fluorescence from both the Cy3 and Cy5 fluorophores that are cleaved by Mpro and PLpro . 3MBP5-activatable specificity was demonstrated with recombinant proteins, inhibitors, plasmid-transfected HEK 293T cells, and SARS-CoV-2-infected TMPRSS2-Vero cells. Results from the dual-color probe first verified the simultaneous detection and intracellular distribution of SARS-CoV-2 Mpro and PLpro . This is a powerful tool for the simultaneous detection of different proteases with value for the rapid screening of inhibitors.

High-Dimensional Immunophenotyping with 37-Color Panel Using Full-Spectrum Cytometry.

A comprehensive study of the cellular components of the immune system demands both deep and broad immunophenotyping of numerous cell subsets in an effective and practical way. Novel full-spectrum technology reveals the complete emission spectrum of each dye maximizing the amount of information that can be obtained on a single sample regarding conventional flow cytometry and provide an expanded knowledge of biological processes. In this chapter, we describe a 37-color protocol that allows to identify more than 45 different cell populations on whole blood samples of SARS-CoV-2-infected patients.

How Can Flowers and Their Colors Promote Individuals' Physiological and Psychological States during the COVID-19 Lockdown?

The global spread of COVID-19 has disrupted the normality of people's daily lives, leading the population to social distancing and isolation. The closure of green areas also affected the well-being of the individual during the COVID-19 pandemic. Viewing flowers is expected to have similar positive effects to viewing natural scenery. Therefore, this study investigates how white, red, and yellow flower colors affect individuals' psychological and physiological well-being. The experiment was conducted in an office-like setting with 50 participants. Participants looked at each flower color for 3 min. Electroencephalograms (EEGs), heart rate variability, and skin conductivity were measured to evaluate physiological responses along with both the semantic differential questionnaire (SD) and the Profile of Mood States (POMS) to assess psychological responses. EEGs showed that the mean values of alpha relative power in the prefrontal lobe were significantly higher when viewing yellow and red flowers vs. white flowers. Furthermore, heart rate variability revealed that viewing yellow and red flowers increased parasympathetic nerve activity significantly. After viewing the yellow and red flowers, the average results for each subscale of the POMS questionnaire improved. The vigor (V) subscale and overall mood status values were significantly improved. The results of the SD method revealed that viewing yellow and red flowers resulted in a significantly higher sense of relaxation, cheerfulness, and comfort than viewing white flowers.

Arena3Dweb: interactive 3D visualization of multilayered networks.

Efficient integration and visualization of heterogeneous biomedical information in a single view is a key challenge. In this study, we present Arena3Dweb, the first, fully interactive and dependency-free, web application which allows the visualization of multilayered graphs in 3D space. With Arena3Dweb, users can integrate multiple networks in a single view along with their intra- and inter-layer connections. For clearer and more informative views, users can choose between a plethora of layout algorithms and apply them on a set of selected layers either individually or in combination. Users can align networks and highlight node topological features, whereas each layer as well as the whole scene can be translated, rotated and scaled in 3D space. User-selected edge colors can be used to highlight important paths, while node positioning, coloring and resizing can be adjusted on-the-fly. In its current version, Arena3Dweb supports weighted and unweighted undirected graphs and is written in R, Shiny and JavaScript. We demonstrate the functionality of Arena3Dweb using two different use-case scenarios; one regarding drug repurposing for SARS-CoV-2 and one related to GPCR signaling pathways implicated in melanoma. Arena3Dweb is available at http://bib.fleming.gr:3838/Arena3D or http://bib.fleming.gr/Arena3D.

The impact of COVID-19 visitor policy restrictions on birthing communities of colour.

AIMS: To explore the experiences of care for pregnant and birthing people, and the nurses who cared for them, during the COVID-19 pandemic, with special emphasis on the impact of visitor restrictions policies. DESIGN: Qualitative study using critical thematic analysis. METHODS: We conducted semi-structured interviews with 15 community members who were pregnant and/or gave birth and 14 nurses who worked in the perinatal setting between April and August 2020. Participants were recruited via purposive and snowball sampling, and interviews were conducted virtually via the Zoom platform. The research team used critical thematic analysis methods informed by other interpretive methodologies to arrive at resultant themes. RESULTS: Participants described experiences pertaining to how visitor restriction policies are not equitable and disproportionately impact Black, Indigenous, and People of Color (BIPOC) families, and the direct impacts of not having support people, and also provided recommendations for how to adapt current policies to be more equitable. CONCLUSIONS: Visitor restriction policies have had a disproportionately harmful effect on BIPOC patients and families, leading some patients to make decisions that increase their physical risks to alleviate their risk of labouring and birthing without desired support. IMPACT: While this pandemic is nearing the end, these results can guide structuring of policy not only for the next pandemic, but also for universal policy development. Mitigating the effects of racism in policies, by including diverse stakeholders in decision-making, should be an inherent part of hospital administration procedures.

ddPCR increases detection of SARS-CoV-2 RNA in patients with low viral loads.

RT-qPCR detection of SARS-CoV-2 RNA still represents the method of reference to diagnose and monitor COVID-19. From the onset of the pandemic, however, doubts have been expressed concerning the sensitivity of this molecular diagnosis method. Droplet digital PCR (ddPCR) is a third-generation PCR technique that is particularly adapted to detecting low-abundance targets. We developed two-color ddPCR assays for the detection of four different regions of SARS-CoV-2 RNA, including non-structural (IP4-RdRP, helicase) and structural (E, N) protein-encoding sequences. We observed that N or E subgenomic RNAs are generally more abundant than IP4 and helicase RNA sequences in cells infected in vitro, suggesting that detection of the N gene, coding for the most abundant subgenomic RNA of SARS-CoV-2, increases the sensitivity of detection during the highly replicative phase of infection. We investigated 208 nasopharyngeal swabs sampled in March-April 2020 in different hospitals of Greater Paris. We found that 8.6% of informative samples (n = 16/185, P < 0.0001) initially scored as "non-positive" (undetermined or negative) by RT-qPCR were positive for SARS-CoV-2 RNA by ddPCR. Our work confirms that the use of ddPCR modestly, but significantly, increases the proportion of upper airway samples testing positive in the framework of first-line diagnosis of a French population.

A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China.

Since the outbreak of COVID-19 in December 2019 in Wuhan, Zhejiang has become the province with the largest number of cases. The aim of this article is to present Zhejiang province's experience of establishing an accurate and smart control mechanism for epidemic prevention and control and resumption of work and production using a 'five-colour epidemic chart'. The number of confirmed cases, proportion of local cases, and occurrence of clustered outbreaks were used as evaluation indicators to calculate the county-level epidemic risk and were assigned different weight coefficients; the absence of cases for 3 and 7 consecutive days was used as the adjustment index. When the first chart was published on February 9, there were 1 very-high-risk, 12 high-risk, and 12 low-risk counties. Under the five-colour chart, Zhejiang began to adopt precise measures to prevent and control the epidemic and resume work and production. By February 24, the low-risk counties had expanded to 82, with no high-risk and very-high-risk counties. The epidemic situation in Zhejiang province has been effectively controlled. The experience of epidemic prevention and control in Zhejiang is worthy to be emulated and learned by other countries and regions.

The moderating role of colour in modelling the effectiveness of COVID-19 YouTube animated cartoons on the health behaviour of social media users in Nigeria.

Previous studies on the effect of cartoon hardly consider the moderating role of colour. Additionally, studies on the use of social media for health promotion pay less attention to sustainability of health behaviour. In this study, we examined the moderating role of colour on the effectiveness of COVID-19 YouTube animated cartoons on health behaviour of social media users in Nigeria. We survey a total of 470 social media users in Nigeria who reported exposure to YouTube COVID-19 animated cartoons. It was found that colour significantly predict recall of YouTube animated cartoons on COVID-19. In addition, the result of the study revealed that colour significantly moderate impact ofCOVID-19 YouTube animated cartoons on health behaviour of social media users. The result further showed that exposure to COVID-19 YouTube animated cartoons will significantly predict knowledge of the virus. The result also showed that recall of messages theme in COVID-19 YouTube animated cartoons significantly predicts health behaviour of social media users. Finally, the result of the study showed that self-efficacy, task self-efficacy, coping self-efficacy, and outcome expectancy significantly predict health behaviour sustainability among social media users who are exposed to COVID-19 YouTube animated cartoon. We highlighted the implications of these results on health promotions.