Nature experience from yards provide an important space for mental health during Covid-19.

Urban dwellers' use of public and private green spaces may have changed during the early years of the Covid-19 pandemic due to movement restriction. A survey was deployed in Brisbane and Sydney, Australia 1 year after the start of Covid-19 restrictions (April 2021) to explore relationships of mental health and wellbeing to different patterns of private yard versus public green space visitation. More frequent yard use during the initial year of Covid-19 was correlated with lower stress, depression, and anxiety and higher wellbeing. However, greater duration of yard visits (week prior to survey) was associated with higher stress, anxiety, and depression scores, potentially because individuals may seek to use nature spaces immediately available for emotional regulation during difficult times. The results highlight the importance of yards for mental health and wellbeing during the Covid-19 pandemic and that relationships between nature interaction and mental health may be context and timeframe dependent.

Visiting Urban Green Space and Orientation to Nature Is Associated with Better Wellbeing during COVID-19.

The COVID-19 pandemic has severely challenged mental health and wellbeing. However, research has consistently reinforced the value of spending time in green space for better health and wellbeing outcomes. Factors such as an individual's nature orientation, used to describe one's affinity to nature, may influence an individual's green space visitation behaviour, and thus influence the wellbeing benefits gained. An online survey in Brisbane and Sydney, Australia (n = 2084), deployed during the COVID-19 pandemic (April 2021), explores if nature experiences and nature orientation are positively associated with personal wellbeing and if increased amounts of nature experiences are associated with improvement in wellbeing in the first year of the COVID-19 pandemic. We found that both yard and public green space visitation, as well as nature orientation scores, were correlated with high personal wellbeing scores, and individuals who spent more time in green space compared to the previous year also experienced a positive change in their health and wellbeing. Consistently, people with stronger nature orientations are also more likely to experience positive change. We also found that age was positively correlated to a perceived improvement in wellbeing over the year, and income was negatively correlated with a decreased change in wellbeing over the year, supporting other COVID-19 research that has shown that the effects of COVID-19 lifestyle changes were structurally unequal, with financially more established individuals experiencing better wellbeing. Such results highlight that spending time in nature and having high nature orientation are important for gaining those important health and wellbeing benefits and may provide a buffer for wellbeing during stressful periods of life that go beyond sociodemographic factors.

A knowledge elicitation approach to traffic accident analysis in open data: comparing periods before and after the Covid-19 outbreak.

Extracting knowledge from open data of traffic accidents has been attracting increasing attention to policymakers responsible for road safety. This article presents a knowledge elicitation approach to exploring the determinants of traffic accidents from open government data of an urban area in Taiwan. The collected open dataset contains 34 decisional attributes and one predictive attribute (i.e., type of injury, including head, breast, leg), and 47,974 cases. Prediction models using a classification-oriented mechanism and generated rules that considered datasets from before (B-dataset; 30,116 cases) and after (A-dataset; 17,868 cases) beginning to combat the Covid-19 pandemic in an urban area of Taiwan were compared. The findings showed that prediction accuracy was acceptable but not high, at 70.73% for B-dataset and 74.77% for A-dataset. Determinants in the human and vehicle categories revealed higher classification ranks than those in the temporal and environment categories. Traffic accidents involving motorcycles were 5.13% higher in A-dataset, whereas those involving cars were 4.11% lower. Injury on leg or foot was 3.46% higher in A-dataset, whereas other types of injury were up to 1.00% lower. The average support for rules in the A-dataset rule base and the simplicity of the A-dataset decision tree were higher than those of B-dataset. The research demonstrates the value of open government data in prediction model development and knowledge elicitation to support policymaking in the traffic safety domain.

Health and Wellbeing Benefits from Nature Experiences in Tropical Settings Depend on Strength of Connection to Nature.

A growing number of policies and programmes in cities aim to increase the time people spend in nature for the health and wellbeing benefits delivered by such interactions. Yet, there is little research investigating the extent to which, and for whom, nature experiences deliver such benefits outside Europe, North America, and Australia. Here, we assessed the relationships between nature dose (frequency, duration, and intensity) and three mental wellbeing (depression, stress, and anxiety) and two physical health (high blood pressure, diabetes) outcomes in Singapore, an intensely urbanised tropical city. Our analyses accounted for individual factors, including socio-economic status, nature connection (nature relatedness), and whether people with poor health are prevented by their condition from visiting green spaces. Our results show that the association between nature dose (specifically duration) and mental wellbeing is moderated by a nature connection. Specifically, people with a stronger nature connection were less likely to be depressed, stressed, and anxious, regardless of the duration of their nature dose. For those with a weaker connection to nature, spending longer in nature was associated with being more depressed, stressed, and anxious. We did not find a relationship between nature dose and high blood pressure or diabetes. Our results highlight that the relationship between nature dose and wellbeing might vary substantially among cities.

Biosensing Amplification by Hybridization Chain Reaction on Phase-Sensitive Surface Plasmon Resonance.

Surface Plasmon Resonance (SPR) is widely used in biological and chemical sensing with fascinating properties. However, the application of SPR to detect trace targets is hampered by non-specific binding and poor signal. A variety of approaches for amplification have been explored to overcome this deficiency including DNA aptamers as versatile target detection tools. Hybridization chain reaction (HCR) is a high-efficiency enzyme-free DNA amplification method operated at room temperature, in which two stable species of DNA hairpins coexist in solution until the introduction of the initiator strand triggers a cascade of hybridization events. At an optimal salt condition, as the concentrations of H1 and H2 increased, the HCR signals were enhanced, leading to signal amplification reaching up to 6.5-fold of the detection measure at 30 min. This feature enables DNA to act as an amplifying transducer for biosensing applications to provide an enzyme-free alternative that can easily detect complex DNA sequences. Improvement of more diverse recognition events can be achieved by integrating HCR with a phase-sensitive SPR (pSPR)-tested aptamer stimulus. This work seeks to establish pSPR aptamer system for highly informative sensing by means of an amplification HCR. Thus, combining pSPR and HCR technologies provide an expandable platform for sensitive biosensing.

Hybridization Chain Reactions Targeting the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2).

In this work, hybridization chain reactions (HCRs) toward Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) nucleocapsid phosphoproteins gene loci and human RNase P are proposed to provide an isothermal amplification screening tool. The proposed chain reactions target the complementary DNA (cDNA) of SARS-CoV-2, with loci corresponding to gold-standard polymerase chain reaction (PCR) loci. Four hybridization chain reaction reactions are demonstrated herein, targeting N1/N2/N3 loci and human RNase P. The design of the hybridization chain reaction, herein, is assisted with an algorithm. The algorithm helps to search target sequences with low local secondary structure and high hybridization efficiency. The loop domain of the fuel hairpin molecule H1 and H2, which are the tunable segments in such reactions, are used as an optimization parameter to improve the hybridization efficiency of the chain reaction. The algorithm-derived HCR reactions were validated with gel electrophoresis. All proposed reactions exhibit a hybridization complex with a molecular mass >1.5k base pairs, which is clear evidence of chain reaction. The hybridization efficiency trend revealed by gel electrophoresis corresponds nicely to the simulated data from the algorithm. The HCR reactions and the corresponding algorithm serve as a basis to further SARS-CoV-2 sensing applications and facilitate better screening strategies for the prevention of on-going pandemics.