Maherknapp2957

The algorithms are applied to a model problem of infectious disease spread in a pedestrian queue similar to that at an airport security check point. We find that utilizing the low-discrepancy sequence-based parameter sweep, even for one component of the multiscale model, reduces the computational requirement by an order of magnitude.The spread of infectious diseases arises from complex interactions between disease dynamics and human behavior. Predicting the outcome of this complex system is difficult. Consequently, there has been a recent emphasis on comparing the relative risks of different policy options rather than precise predictions. Here, one performs a parameter sweep to generate a large number of possible scenarios for human behavior under different policy options and identifies the relative risks of different decisions regarding policy or design choices. In particular, this approach has been used to identify effective approaches to social distancing in crowded locations, with pedestrian dynamics used to simulate the movement of individuals. This incurs a large computational load, though. The traditional approach of optimizing the implementation of existing mathematical models on parallel systems leads to a moderate improvement in computational performance. In contrast, we show that when dealing with human behavior, we can create a model from scratch that takes computer architectural features into account, yielding much higher performance without requiring complicated parallelization efforts. Our solution is based on two key observations. (i) Models do not capture human behavior as precisely as models for scientific phenomena describe natural processes. Consequently, there is some leeway in designing a model to suit the computational architecture. (ii) The result of a parameter sweep, rather than a single simulation, is the semantically meaningful result. Our model leverages these features to perform efficiently on CPUs and GPUs. We obtain a speedup factor of around 60 using this new model on two Xeon Platinum 8280 CPUs and a factor 125 speedup on 4 NVIDIA Quadro RTX 5000 GPUs over a parallel implementation of the existing model. The careful design of a GPU implementation makes it fast enough for real-time decision-making. We illustrate it on an application to COVID-19.Increased antimicrobial resistance demands the development of new antimicrobial agents with high potency. A wide variety of microbial systems are continuously subjected to mutations which ultimately results in antimicrobial resistance. The present study aimed at the fabrication of a nano drug delivery system which simultaneously is superparamagnetic, fluorescent, non-cytotoxic and antifungal. The developed system is an easily targetable and detectable tool owing to its superparamagnetic and fluorescent characteristics respectively. Superparamagnetic iron oxide nanoparticles stabilized by macromolecular starch have been incorporated into a fluorescently modified carrier system to get the final drug delivery system. The finally developed drug carrier system is found to be non-cytotoxic from the in vitro cytotoxicity studies performed against normal rat spleen cells. The photodynamic antifungal capability of the system was the premier concern of investigation of the present study. The antifungal studies were conducted against Histoplasma capsulatum and Trichophyton rubrum by well diffusion method and the results were compared with the activity of the antibiotic, griseofulvin. The minimum inhibitory concentration against each fungal strain was determined using broth dilution method.

The online version contains supplementary material available at 10.1007/s10570-021-04107-y.

The online version contains supplementary material available at 10.1007/s10570-021-04107-y.The tremendous heterogeneity in functional and demographic characteristics of the over-65 age group presents challenges to effective marketing and public health communications. Messages grounded on tacit assumptions that older people are frail, incompetent, and needy risk being overlooked by most of the older population; on the other hand, ignoring age-associated vulnerabilities is problematic. We argue that while traditional approaches to market segmentation based on chronological age often fail, reliable age differences in motivation can inform the types of information that older people typically prefer, attend to, and remember. Socioemotional selectivity theory maintains that as future time horizons grow limited - as they typically do with age - emotional goals are prioritized over goals that focus on exploration. As time left becomes more limited, positive messages are remembered better than negative, and products that help people savor the moment are preferred over those that benefit the long-term future. Relatedly, acknowledging individual strengths and personal resilience are likely to be especially appealing to older people.Much of what people do is motivated by a concern with social evaluation. We argue that the process of figuring out what others value and making effective use of this information presents significant cognitive challenges. These challenges include reasoning about the relevance of different forms of information and making inferences about the mental lives of others. They also include modifying one's behavior in light of whatever personal qualities appear to be valued in an effort to appeal to different audiences. We argue that the foundations of many of the important skills needed to meet these challenges are already in place early during childhood, but that the challenges themselves persist well into adulthood.Parent emotion socialization refers to the process by which parents impart their values and beliefs about emotion expressivity to their children. Parent emotion socialization requires attention as a construct that develops in its own right. The socialization of child worry, in particular, has implications for children's typical socioemotional development, as well as their maladaptive development towards anxiety outcomes. Existing theories on emotion socialization, anxiety, and parent-child relationships guided our investigation of both maternal anxiety and toddler inhibited temperament as predictors of change in mothers' unsupportive (i.e., distress, punitive, and minimizing) responses to toddler worry across 1 year of toddlerhood. Participants included 139 mother-toddler dyads. Mothers reported on their own anxiety and their emotion socialization responses to toddler worry. We assessed toddler inhibited temperament through a mother-report survey of shyness and observational coding of dysregulated fear. Maternal anxiety but not child inhibited temperament predicted distress reactions and punitive responses, whereas maternal anxiety and toddler dysregulated fear both uniquely predicted minimizing responses. These results support continued investigation of worry socialization as a developmental outcome of both parent and child characteristics.The concentration of human population along coastlines has far-reaching effects on ocean and societal health. The oceans provide benefits to humans such as food, coastal protection and improved mental well-being, but can also impact negatively via natural disasters. At the same time, humans influence ocean health, for example, via coastal development or through environmental stewardship. Given the strong feedbacks between ocean and human health there is a need to promote desirable interactions, while minimising undesirable interactions. To this end, we articulate two scenarios for 2030. First, Business-as-Usual, named 'Command and (out of) Control', focuses on the anticipated future based on our current trajectory. Second, a more sustainable scenario called 'Living and Connecting', emphasises the development of interactions between oceans and society consistent with achieving the Sustainable Development Goals. We describe a potential pathway to achieving the 'Living and Connecting' scenario, centred on improving marine citizenship, achieving a more equitable distribution of power among stakeholders, and more equitable access to resources and opportunities. The constituent actions of this pathway can be categorised into four groups (i) improved approaches to science and health communication that account for society's diverse values, beliefs and worldviews, (ii) a shift towards more trusted relationships among stakeholders to enable two-way knowledge exchange, (iii) economic incentives that encourage behavioural changes necessary for achieving desired sustainability outcomes, and (iv) stronger regulations that simultaneously focus on ocean and human health. We contend that these changes will provide improved outcomes for both oceans and society over the United Nations Decade of Ocean Science.

The online version contains supplementary material available at 10.1007/s11160-021-09669-5.

The online version contains supplementary material available at 10.1007/s11160-021-09669-5.In the age of the Anthropocene, the ocean has typically been viewed as a sink for pollution. Pollution is varied, ranging from human-made plastics and pharmaceutical compounds, to human-altered abiotic factors, such as sediment and nutrient runoff. As global population, wealth and resource consumption continue to grow, so too does the amount of potential pollution produced. This presents us with a grand challenge which requires interdisciplinary knowledge to solve. Selleck Isradipine There is sufficient data on the human health, social, economic, and environmental risks of marine pollution, resulting in increased awareness and motivation to address this global challenge, however a significant lag exists when implementing strategies to address this issue. This review draws upon the expertise of 17 experts from the fields of social sciences, marine science, visual arts, and Traditional and First Nations Knowledge Holders to present two futures; the Business-As-Usual, based on current trends and observations of growing marine pollution, and a More Sustainable Future, which imagines what our ocean could look like if we implemented current knowledge and technologies. We identify priority actions that governments, industry and consumers can implement at pollution sources, vectors and sinks, over the next decade to reduce marine pollution and steer us towards the More Sustainable Future.

The online version contains supplementary material available at 10.1007/s11160-021-09674-8.

The online version contains supplementary material available at 10.1007/s11160-021-09674-8.The current COVID-19 pandemic, that has caused more than 100 million cases as well as more than two million deaths worldwide, demands the development of fast and accurate diagnostic methods despite the lack of available samples. This disease mainly affects the respiratory system of the patients and can lead to pneumonia and to severe cases of acute respiratory syndrome that result in the formation of several pathological structures in the lungs. These pathological structures can be explored taking advantage of chest X-ray imaging. As a recommendation for the health services, portable chest X-ray devices should be used instead of conventional fixed machinery, in order to prevent the spread of the pathogen. However, portable devices present several problems (specially those related with capture quality). Moreover, the subjectivity and the fatigue of the clinicians lead to a very difficult diagnostic process. To overcome that, computer-aided methodologies can be very useful even taking into account the lack of available samples that the COVID-19 affectation shows.