Shared Environment Research Articles

Behavioral-Based Pedestrian Modeling Approach: Formulation, Sensitivity Analysis, and Calibration

Pedestrians are among the travelers most vulnerable to collisions that are associated with high fatality and injury rates. The increasing rate of urbanization and mixed land-use construction make walking (along with other non-motorized travel) a predominant transportation mode with a wide variety of behaviors expected. Because of the inherent safety concerns seen in pedestrian transportation infrastructures, especially those with conflicting multimodal movements expected (crosswalks, transit platforms, etc.), it is important that pedestrian behavior is modeled as a risk-taking stochastic behavior that may lead to errors and thus collision formation. In previous work, the complexity and cost associated with building pedestrian models in a cognitive-based environment weighted down the construction of simulation tools that can capture pedestrian-involved collisions, including those seen in shared space environments. In this paper, a tool that will help evaluate the safety of pedestrian traffic is initiated: an extended modeling framework of pedestrian walking behavior is adopted while incorporating different physiological, physical, and decision-making elements. The focus is on operational decisions (i.e., path choices defined by longitudinal and lateral trajectories) with a pre-specified set of origins and destinations. The model relies on the prospect theory paradigm where pedestrians evaluate their acceleration and directional alternatives while considering the possibility of colliding with other “particles.” Using a genetic algorithm method, the new model is calibrated using detailed trajectory data. This model can be extended to model the interactions between a variety of different modes that are present in different mixed land-use environments.

Musical Hyperrealism: Exploring Noah Creshevsky’s compositions through Jean Baudrillard’s ideas

While a familiar term in art history, philosophy and cultural studies, ‘hyperrealism’ is rarely applied to music. This is despite Noah Creshevsky’s use of the term to describe his unique compositional process and aesthetic approach. A composer of electroacoustic music and founder of the Brooklyn College Center for Computer Music, Creshevsky has described his musical hyperrealism as a ‘language constructed from sounds that are found in our shared environment (“realism”), handled in ways that are somehow exaggerated or excessive (“hyper”)’. In this article, I summarise the ideas behind Creshevsky’s hyperreal music and compare them to philosopher Jean Baudrillard’s theorisation of the hyperreal. Numerous similarities between Creshevsky and Baudrillard’s ideas will be made evident. The first half of this article focuses on Creshevsky’s sampling of sounds as ‘simulacra’ and how the interweaving textures and melodies that Creshevsky makes out of these samples are similar to ‘simulations’. In the article’s second half, Creshevsky’s creation of disembodied ‘superperformers’ is addressed and related to Baudrillard’s transhumanism. Towards the end of the article, Creshevsky’s aesthetic more broadly and what he calls ‘hyperdrama’ are linked to Baudrillard’s ‘transaesthetics’, before a concluding note addressing Baudrillard and Creshevsky’s different dispositions towards hyperrealism.

Prioritizing zoonotic diseases using a multisectoral, One Health approach for The Economic Community of West African States (ECOWAS)

BackgroundZoonotic diseases pose a significant threat to human, animal, and environmental health. The Economic Community of West African States (ECOWAS) has endured a significant burden of zoonotic disease impacts. To address zoonotic disease threats in ECOWAS, a One Health Zoonotic Disease Prioritization (OHZDP) was conducted over five days in December 2018 to prioritize zoonotic diseases of greatest regional concern and develop next steps for addressing these priority zoonoses through a regional, multisectoral, One Health approach.MethodsThe OHZDP Process uses a mixed methods prioritization process developed by the United States Centers for Disease Control and Prevention. During the OHZDP workshop, representatives from human, animal, and environmental health ministries from all 15 ECOWAS Member States used a transparent and equal process to prioritize endemic and emerging zoonotic diseases of greatest regional concern that should be jointly addressed by One Health ministries and other partners. After the priority zoonotic diseases were identified, participants discussed recommendations and further regional actions to address the priority zoonoses and advance One Health in the region.ResultsECOWAS Member States agreed upon a list of seven priority zoonotic diseases for the region – Anthrax, Rabies, Ebola and other viral hemorrhagic fevers (for example, Marburg fever, Lassa fever, Rift Valley fever, Crimean-Congo Hemorrhagic fever), zoonotic influenzas, zoonotic tuberculosis, Trypanosomiasis, and Yellow fever. Participants developed recommendations and further regional actions that could be taken, using a One Health approach to address the priority zoonotic diseases in thematic areas including One Health collaboration and coordination, surveillance and laboratory, response and preparedness, prevention and control, workforce development, and research.ConclusionsECOWAS was the first region to use the OHZDP Process to prioritize zoonotic disease of greatest concern. With identified priority zoonotic diseases for the region, ECOWAS Member States can collaborate more effectively to address zoonotic diseases threats across the region using a One Health approach. Strengthening national and regional level multisectoral, One Health Coordination Mechanisms will allow ECOWAS Member States to advance One Health and have the biggest impact on improving health outcomes for both people and animals living in a shared environment.

An Interactive Task Conditioning System Featuring Personal Comfort Models and Non-Intrusive Sensing Techniques: A Field Study in Shanghai

Heating, ventilation and air-conditioning (HVAC) systems play a key role in shaping office environments. However, open-plan office buildings nowadays are also faced with problems like unnecessary energy waste and an unsatisfactory shared indoor thermal environment. Therefore, it is significant to develop a new paradigm of an HVAC system framework so that everyone could work under their preferred thermal environment and the system can achieve higher energy efficiency such as task ambient conditioning system (TAC). However, current task conditioning systems are not responsive to personal thermal comfort dynamically. Hence, this research aims to develop a dynamic task conditioning system featuring personal thermal comfort models with machine learning and the wireless non-intrusive sensing system. In order to evaluate the proposed task conditioning system performance, a field study was conducted in a shared office space in Shanghai from July to August. As a result, personal thermal comfort models with indoor air temperature, relative humidity and cheek (side face) skin temperature have better performances than baseline models with indoor air temperature only. Moreover, compared to personal thermal satisfaction predictions, 90% of subjects have better performances in thermal sensation predictions. Therefore, personal thermal comfort models could be further implemented into the task conditioning control of TAC systems.

CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing.

BackgroundDetecting copy number variations (CNVs) and copy number alterations (CNAs) based on whole-genome sequencing data is important for personalized genomics and treatment. CNVnator is one of the most popular tools for CNV/CNA discovery and analysis based on read depth.FindingsHerein, we present an extension of CNVnator developed in Python—CNVpytor. CNVpytor inherits the reimplemented core engine of its predecessor and extends visualization, modularization, performance, and functionality. Additionally, CNVpytor uses B-allele frequency likelihood information from single-nucleotide polymorphisms and small indels data as additional evidence for CNVs/CNAs and as primary information for copy number–neutral losses of heterozygosity.ConclusionsCNVpytor is significantly faster than CNVnator—particularly for parsing alignment files (2–20 times faster)—and has (20–50 times) smaller intermediate files. CNV calls can be filtered using several criteria, annotated, and merged over multiple samples. Modular architecture allows it to be used in shared and cloud environments such as Google Colab and Jupyter notebook. Data can be exported into JBrowse, while a lightweight plugin version of CNVpytor for JBrowse enables nearly instant and GUI-assisted analysis of CNVs by any user. CNVpytor release and the source code are available on GitHub at https://github.com/abyzovlab/CNVpytor under the MIT license.

Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy

Phenotype-based assortative mating is well established in humans, with the potential for further convergence through a shared environment. To assess the correlation within infertile couples of physical, social, and behavioural characteristics and 155 circulating metabolic measures. Cross sectional study at a tertiary medical center of 326 couples undertaking IVF. Serum lipids, lipoprotein subclasses, and low-molecular weight metabolites as quantified by NMR spectroscopy (155 metabolic measures). Multivariable and quantile regression correlations within couples of metabolite profiles. Couples exhibited statistical correlations of varying strength for most physical, social, and behavioural characteristics including age, height, alcohol consumption, education, smoking status, physical activity, family history and ethnicity, with correlation coefficients ranging from 0.22 to 0.73. There was no evidence of within couple associations for BMI and weight, where the correlation coefficients were − 0.03 (95% CI − 0.14, 0.08) and 0.01 (95% CI − 0.10, 0.12), respectively. Within spousal associations of the metabolite measurements were all positive but with weak to modest magnitudes, with the median correlation coefficient across all 155 measures being 0.12 (range 0.01–0.37 and interquartile range 0.10–0.18). With just four having associations stronger than 0.3: docosahexaenoic acid (0.37, 95% CI 0.22, 0.52), omega-3 fatty acids (0.32, 95% CI 0.20, 0.43) histidine (0.32, 95% CI 0.23, 0.41) and pyruvate (0.32, 95% CI 0.22, 0.43). Infertile couples exhibit spousal similarities for a range of demographic and serum metabolite measures, supporting initial assortative mating, with diet-derived metabolites suggesting possible subsequent convergence of their individual metabolic profile.

Giving Voice to the Voiceless in Environmental Gene Editing.

Participatory deliberation, whereby diverse experts and publics collectively engage in decision-making, can ensure a more informed and just decision by centering historically marginalized perspectives and engaging a spectrum of value systems. Broad and diverse participation is crucial for the equitable distribution of risks and benefits resulting from complex and uncertain decisions such as environmental gene editing. From an ethical position that gives intrinsic value to the nonhuman and recognizes the interconnectedness of species across generations, we argue that deliberation over environmental gene editing must include the voice of nature and the voice of future generations. Inclusion of these key participant groups can encourage reflection on the human relationship with nature and help safeguard intergenerational equity of decisions reached. By drawing from the legal rights of nature movement, the Boardman River Dams Project, and methods for representative participation, we offer strategies for inclusion of nonhuman nature and future generations in deliberative processes about environmental gene editing and other crucial decisions about our shared environments.

One map: Using geospatial analysis to understand lead exposure across humans, animals, and the environment in an urban US city

Environmental lead contamination negatively impacts human, animal, and ecosystem health, yet there is a lack of research in this area that incorporates a One Health framework – examining co-exposures among species through their shared environment. The purpose of this study was to integrate human and animal data with public soil lead levels to better understand lead exposure patterns across species in an urban US city. Over 200 soil samples were collected, analyzed for lead, and mapped in combination with other risk factors pulled from the literature to identify areas of highest risk. Human socio-demographic data, dog, and house sparrow density data were mapped to investigate the association between these variables and soil lead levels. Geospatial analysis software was used to visualize the geospatial distribution of soil lead levels and known risk factors for environmental lead contamination, and a block group risk score was calculated and mapped. Associations between human and animal-associated variables and soil lead levels and block risk scores were assessed using Spearman's correlations. Positive, statistically significant associations were found between soil lead levels and higher population density, higher education levels, and higher median household income. Areas with higher soil lead levels and lead exposure risk scores were associated with greater dog density and greater house sparrow density. This study fills an important knowledge gap on the risk of environmental lead exposure to humans, domestic animals, and wildlife.

Secure encryption key management as a SecaaS based on Chinese wall security policy

Cloud computing has become very popular and many mobile IT users are accessing business data and services without going through corporate networks. In this context the common security mechanism of most services and interactions is based on the encryption/signing keys, which themselves depend highly on the cryptographic key management system (CKMS) itself. Outsourcing CKMS to the cloud Computing as a trusted security as a service (CKMS_SecaaS) remains a real challenge, which we deal to the establishing of the trust between customers and service providers problems. To deal with this challenge we have proposed an approach that provides a CKMS_SecaaS based on the trusted platform module (TPM), which is the foundation for the trust, keys generation, and SecaaS authentication.In this paper, we propose an approach for keys security based on Chinese Wall Security Policy (CWSP) as a dynamic firewall mechanism, which it is for access and information flow control. We note that, the TPM with CKMS_SecaaS are considered a real shared environment, they host and manage a lot of objects (keys and related data), objects belong to different users groups, and they are considered sensitive data (encryption keys). Therefore, the CWSP is a very interesting candidates to our context, which it provides the creation of walls between companies’ objects based on an access control rules.

9.N. Round table: The comparative politics and policy of Covid-19

Abstract The COVID-19 pandemic created unprecedented and turbulent mixtures of political, social, economic, and epidemiological forces. In this workshop the participant will be invited to interact & explore with panelists and other participants on how and why some countries have fared worse than other countries in addressing the threat of SARS-CoV-2, and in many cases fared far worse than expected. The objectives of the workshop are twofold: i) how & why different political systems that were put to the test engage and did what they did; ii) how health promotion in this pandemic play its role to ease the burden of populations. As of this writing, the pandemic is far from over. Therefore the added value of organizing this workshop is to help draw the many lessons that might need to be learned in a shared environment. The politics of COVID-19 during the pandemic warrant a multidisciplinary and multinational analysis. This knowledge can be useful as the world continues to fight COVID-19 and is equally important for thinking about other ongoing and future infectious disease pandemics and the role that health promotion can play. The round table will include 5 presentations intertwined with discussion grouped by geographical regions. The first presentation will launch the discussion on how The European Union Confronted COVID-19. The second will explore findings of the three approaches to handling the COVID-19 crisis in federal countries (e.g. Germany, Austria, and Switzerland). The third presentation will consider how peripheral countries managed their crisis (e.g. Portugal, Spain, and Italy). The fourth will look at how large countries dealt with the complexity of their territory and population diversity (e.g. Russian Federation Government Control during the Epidemic). Finally a theory-driven perspective on social justice and inclusion based on the salutogenesis approach will propose some discussion points as a take home message. This round table offers a forum for researchers, practitioners and policy-makers interested in policy analysis. By dialogue and two-way communication lively interaction and vivid discussions will be facilitated. This will allow discussing results regarding their benefit for improving policy research, practice, and policy-making, support further synergies, facilitate networking and collaboration, and support international capacity building Key messages Although COVID-19 is effectively unprecedented in the modern world, political systems responding to it need to move from hazard mitigating responses to comprehensive health promotion strategies. We need to maximize a salutogenesis approach since historical continuities, as well as novelties in dealing with pandemics are often political arenas of improvisation focusing the disease realm.

Photovoice as a research, advocacy, and harmonization tool for refugee and local youth in Turkey

Abstract Background Turkey has millions of refugee and local youth, who share common youth health problems. As part of the REACH Project, this study aimed to assess youth's access to health information, health care, and healthy environments, in addition to their perspectives on using digital health technologies. Methods We used photovoice, a community based participatory research approach, and worked with 4 mixed (refugee and local) youth groups between the ages of 15 to 24 in Istanbul. Each youth group met with the research team and a professional photographer before data collection. Young people then took photos of barriers and facilitators regarding their access to health information, health care, and digital health technologies, in addition to their health problems. This was followed by focus group-like discussions, where young people discussed the photos and their meanings for them. Content analysis was used for data analysis and findings were shared with stakeholders via photo exhibits, panels, and policy briefs for advocacy purposes. The study was funded by TaiwanICDF and Columbia University. Results Findings showed that youth had a wide range of physical, social and mental health problems coupled with problems in accessing health information and youth-friendly services. Problems with social determinants of health were more prominent for refugees. Although youth often used the internet to access information, their experiences with digital health technologies were very limited. Conclusions Our study findings indicated that despite legal rights to access health care for all youth, refugee youth faced more barriers in accessing information and services. On the other hand, refugee and local youth showed similarities regarding common youth health problems and access to youth-friendly services. The photovoice approach enabled active participation and created a shared environment for refugee and local youth to discuss their mutual problems and understand each other. Key messages Photography is a communication tool that acts as a bridge between participants, researchers, and decision makers. Photovoice, as a participatory approach, creates a learning environment for both participants and researchers.

Relationship between CRP and depression: A genetically sensitive study in Sri Lanka

BackgroundPrevious studies have shown associations between major depression and C-reactive protein (CRP) levels. Few studies have considered the extent to which shared genetic and environmental factors contribute to this association, nor have they considered the relationship outside of European populations. We examined the association between CRP levels and depression and their aetiology in a Sri Lankan population. MethodsData were collected from 2577 twins and 899 singletons in Colombo, Sri Lanka. Depression symptoms were assessed using the revised Beck Depression Inventory (BDI-II). High-sensitive CRP blood levels were assessed using immunoturbidimetry. Linear regressions were performed to test the association between CRP and depression. The heritability of CRP levels was estimated using Structural Equation Modelling. ResultsCRP was significantly associated with BMI (p < 0.01) but not depression (p > 0.05). In males, variance in CRP levels was explained by shared environment (51% 95%CIs: 13–62) and non-shared environment (45% 95%CIs: 36–54). In contrast, in females, CRP variance was explained by genetic (41% 95%CIs: 10–52) and non-shared environment (56% 95%CIs: 47–67). A genetic correlation between CRP and BMI was observed in females only. LimitationsCRP level was based on a single data collection point, longer term data collection would give a more accurate picture of an individual's state of inflammation. ConclusionsThe lack of association between depression and CRP strengthens the hypothesis that inflammation might contribute to the development of some, but not all types of depression. CRP levels were moderated by the environment, suggesting interventions aimed at reducing CRP levels and risk for inflammatory conditions, particularly in males.

Association Between Posttraumatic Stress Disorder and Epigenetic Age Acceleration in a Sample of Twins.

Posttraumatic stress disorder (PTSD) has been related to accelerated biological aging processes, but objective evidence for this association is limited. DNA methylation (DNAm) age acceleration is a novel measure of biological aging that may help clarify if PTSD is related to biological aging processes. We aim to examine whether PTSD is associated with biological aging using a comprehensive set of DNAm age acceleration markers and to what extent the unshared environment contributes to the association. Using a cross-sectional co-twin control study design, we investigated the association of the clinical diagnosis and symptom severity of PTSD with six measurements of DNAm age acceleration based on epigenome-wide data derived from peripheral blood lymphocytes of 296 male twins from the Vietnam Era Twin Registry. Twins with current PTSD had significantly advanced DNAm age acceleration compared with twins without PTSD for five of six measures of DNAm age acceleration. Across almost all measures of DNAm age acceleration, twins with current PTSD were "epigenetically older" than their twin brothers without PTSD: estimated differences ranged between 1.6 (95% confidence interval = 0.0-3.1) and 2.7 (95% confidence interval = 0.5-4.8) biological age year-equivalents. A higher Clinician-Administered PTSD Scale score was also associated with a higher within-pair DNAm age acceleration. Results remained consistent after adjustment for behavioral and cardiovascular risk factors. PTSD is associated with epigenetic age acceleration, primarily through unshared environmental mechanisms as opposed to genetic or familial factors. These results suggest that PTSD is related to systemic processes relevant to biological aging.

The Dynamics of Immigration and Anti-Immigrant Sentiment in Japan: How and Why Changes in Immigrant Share Affect Attitudes toward Immigration in a Newly Diversifying Society

Abstract Extensive research investigates how immigration shapes natives’ anti-immigrant sentiment. However, several areas require further scrutiny. This paper explores how processes of immigration affect anti-immigrant sentiment in a new immigration destination country—Japan—drawing on longitudinal data to examine these processes over time and explicitly testing the mechanisms of perceived threat and intergroup contact posited to underpin this relationship. Through this analysis, the paper aims to: examine how generalizable the immigrant share/immigration attitudes theoretical framework is to non-Western societies; refine our understanding of the mechanisms underpinning this relationship; and more robustly test its causal assumptions. To pursue these aims, the study draws on two sets of nationally representative Japanese data, designed to generate complementary insights, including: four waves of longitudinal panel data (2008–2014) and a unique cross-sectional dataset containing measures of perceived threat and contact. Applying multilevel and fixed-effects panel data approaches, the findings demonstrate that as immigration increases in Japanese prefectures and municipalities, residents become increasingly averse toward immigration (although there is some evidence of non-linearity at the municipality level, with sentiment improving again in high immigrant share environments). This overall relationship appears largely driven by two competing processes. In higher immigrant share environments, perceived threat is higher, increasing anti-immigrant sentiment. However, concurrently, intergroup contact also increases in these environments, reducing anti-immigrant sentiment. Therefore, despite the overall negative relationship (driven primarily by perceived threat), rising contact exerts a countervailing positive effect as immigration increases. Taken together, this research demonstrates that theories of attitudinal-change with higher immigration, developed within Western-contexts, also appear salient for newer destination, non-Western societies.

502 Late-Breaking: Tongue Rolling Behavior in a Large U.S. Dairy Herd

Abstract Stereotypic behavior is repetitive, invariant behavior with no obvious goal or function and may indicate negative welfare. Non-nutritive oral behaviors are the most common form of stereotypic behavior in captive ungulates and these include tongue rolling where the cow’s tongue is extended, moving inside and outside of the mouth while the cow is not eating. We assessed the prevalence of tongue rolling in a large commercial dairy herd located in the United States by video recording cattle (n = 10,000) during three consecutive milkings on two rotary milking parlors. Associations between tongue rolling behavior, breed, age, days in milk, pregnancy status and milk production were assessed. In total, 29% percent (2,931) of cows were observed tongue rolling on the rotary parlor during at least one milking; 6% (613) were observed tongue rolling during two milkings; and 1.6% (164) were observed tongue rolling during all three sampling periods. Breed was the only variable associated with tongue rolling in the rotary parlor with nearly twice the proportion of Jersey (33%) vs Jersey X Holstein (17%) exhibiting tongue rolling behavior (P &amp;lt; 0.0001). The higher incidence of tongue rolling among Jersey vs Jersey X Holstein cattle within a shared environment suggests a strong genetic component that warrants further investigation. Validated sampling strategies for assessing tongue rolling in dairy cattle are needed.

Harmonize: a shared environment for extended immersive entertainment.

Virtual reality (VR) and augmented reality (AR) applications are very diffuse nowadays. Moreover, recent technology innovations led to the diffusion of commercial head-mounted displays for immersive VR: users can enjoy entertainment activities that fill their visual fields, experiencing the sensation of physical presence in these virtual immersive environments. Even if AR and VR are mostly used separately, they can be effectively combined to provide a multi-user shared environment (SE), where two or more users perform some specific tasks in a cooperative or competitive way, providing a wider set of interactions and use cases compared to immersive VR alone. However, due to the differences between the two technologies, it is difficult to develop SEs offering a similar experience for both AR and VR users. This paper presents Harmonize, a novel framework to deploy applications based on SEs with a comparable experience for both AR and VR users. Moreover, the framework is hardware-independent, and it has been designed to be as much extendable to novel hardware as possible. An immersive game has been designed to test and to evaluate the validity of the proposed framework. The assessment of the system through the System Usability Scale questionnaire and the Game Experience Questionnaire shows a positive evaluation.

Toward Observation Based Least Restrictive Collision Avoidance Using Deep Meta Reinforcement Learning

This letter presents the Observation-based Least-Restrictive Collision Avoidance Module (OLR-CAM) that can be added to any autonomous robot working in a shared environment and provide a high-level safety layer to the existing policy for each robot. The OLR-CAM takes raw sensory observations as input, evaluates the agents' safety against dynamic and static obstacles, and only intervenes the default policy when needed - in a least-restrictive fashion - to avoid a potential collision. In our approach, we meta-train the OLR-CAM policy within a “2D Navigation Meta World System”. Furthermore, to endow the policy with a notion of safety in multi-agent environments with obstacles, we propose a novel reward function based on a safety value function derived from the Hamilton-Jacobi reachability theory and a local cost map. The proposed reward function does not need any additional information about the environment's map. This facilitates the adoption of the algorithm in a new environment at the meta test stage. The proposed algorithm is fully meta-trained in simulation and tested on a real multi-agent system without any additional training conducted in the real setting. Our results show that the OLR-CAM success rate outperforms a well-known classical baseline approach by 10 percent on average and reduces the interruptions/changes to the preferred velocity by 15 percent.

THE “ONE HEALTH” APPROACH AS A POSSIBLE MODE OF ECOLOGICAL RISK ASSESSMENT (EXAMPLE OF CYANOTOXINS)

Cyanobacteria are a big group of photosynthetic prokaryotic organisms inhabiting fresh and sea waters and damp soils. Cyanobacteria produce secondary metabolites – cyanotoxins, which are potentially dangerous for humans and animals if present in drinking water, and pose real danger for waterfowl, fish, and zooplankton. Therefore, cyanobacteria are often considered as pathogenic organisms albeit they are unable to develop in animals’ organisms. As reported by the UNESCO international hydrological program CYANONET, cyanobacteria and cyanotoxins were found in surface waters in 65 countries. To study the occurrence of cyanobacteria and cyanotoxins in European lakes, two international cooperation programs were implemented, namely CYANOCOST in 2012–2016 and EMLS (European Multi Lake Survey) in 2015. Cyanotoxins are divided into groups according to their action on human organisms (hepatotoxins, neurotoxins, dermatoxins, and cytotoxins). Lately, the health impacts of harmful cyanobacteria have been more frequently detected and reported. However, reports of human and animal illnesses or death associated with harmful cyanobacteria tend to be investigated separately. One Health is an approach that recognizes that the health of people is closely connected to the health of animals and our shared environment. This review illustrates how the investigation of cyanotoxin-associated animal illnesses and death can be used to reduce the risks of human exposure to harmful cyanobacteria. The One Health approach is an environmental risk management method that requires the integration of efforts of different specialists.

COVID-19 Lessons for Climate Change and Sustainable Health

The drivers underpinning the emergence of SARS-CoV-2 and climate change attest to the fact that we are now living in the Anthropocene Epoch, with human activities significantly impacting and altering the global ecosystem. Here, we explore the historical context of zoonoses, the effect of anthropogenic climate change and interrelated drivers on the emergence of, and response to emerging infectious diseases. We call attention to an urgent need for inculcating a One Health research agenda that acknowledges the primary interconnection between animals, humans, pathogens, and their collective milieus to foster long term resilience across all systems within our shared planetary environment.

Quantifying adaptive divergence of the snowfinches in a common landscape

AbstractAimSpecies living in a shared environment face similar selective pressures and often evolve adaptive divergence to avoid competition. Quantifying phenotypic divergence and its genetic parallelism among sympatric species is important for understanding of ecologically moderated biodiversity. Here, we integrate ecologic, phenotypic and genomic datasets to study to what extent three sympatrically snowfinches (Montifringilla adamsi, Pyrgilauda ruficollis and Onychostruthus taczanowskii) differ in their adaptations in order to co‐exist in a shared environment.LocationQinghai–Tibetan Plateau.MethodsWe used principal component analysis to summarize and compare environmental and phenotypic divergence. We compared phenotypes relevant to body and beak sizes (n = 68) because they are indicators of niche and food segregation, thus critical for establishing co‐existence of sympatric birds. We used comparative genomics (n = 33) to identify genetic loci that are highly divergent between species as well as loci unique for each of species. Using vector analyses, we integrated correlation and permutation to quantify parallelism between phenotypic and genetic divergences.ResultsWe found that body and beak sizes are significantly different among three snowfinches. The phenotypic differentiations are greater in species that share similar ecological conditions than in those that do not. We showed that genes related to developmental process are over‐represented within highly divergent genomic regions and unique genetic loci of each species. We found that the extent of phenotypic divergence between snowfinch pairs is more strongly correlated with the magnitude of divergence in developmental genes than in the whole genome.Main conclusionsAdaptive divergence of sympatric snowfinches is highly constrained on developmental genes. As this genetic divergence is strongly correlated with divergence of the traits related to segregation in niche and food resources, this correlation reflects either causal effects or indirect consequences of ecological mediated changes. Our study provides novel insights into the mechanisms underlying evolutionary versatility and ecological success among sympatric species.