Threat Intensity Research Articles

Coastal habitat quality assessment and mapping in the terrestrial-marine continuum: Simulating effects of coastal management decisions

Assessment and mapping of coastal habitat quality are critical for integrated coastal zone management. However, in the coastal zone, characterized as a terrestrial-marine continuum, few studies have incorporated land-sea connections while mapping and predicting the quality of habitats. In this study, we propose a novel framework that integrates an ecosystem service assessment model and global ecosystem classification, and within this framework, the cross-system threats from both ocean- and land-based human activities were considered. On this basis, by linking the threat sources of habitat quality with management policy scenarios, the prediction of habitat quality across land and sea was realized. Xiamen Bay, a typical intensively developed bay in Southeast China, was used as a case study. Thirteen habitat types and 12 threats were identified in the upland/supratidal, intertidal, and subtidal zones of Xiamen Bay. Each threat affected habitats in at least two coastal zone subdivisions. The results showed that by 2030, 26.9% of the total habitat area is expected to decline in quality, while 16.9% will improve. Intertidal habitats are especially vulnerable to multiple threats. Our study revealed a strong negative correlation between threat intensity and habitat quality changes. Eight of the 12 threats will be changed by the five coastal management policies, and six types of habitats are potential beneficiaries. Overall, local coastal zone management strategies will contribute to enhance the quality of intertidal and subtidal habitats, whereas upland/supratidal zone are anticipated to experience a decline. The tourism development policy may have negative impacts on all 13 habitats and cover the largest area, while the aquaculture regulation policy is expected to yield the greatest benefits. We revealed that cross-system threats are prevalent in coastal zone habitats, making it possible for coastal zone management policies to have cross-system impacts. The tool developed herein can support integrated coastal zone management in the terrestrial-marine continuum and facilitate effective decision-making.

Workplace violence in the COVID-19 era: a qualitative analysis of harassment and threats against public health professionals in Canada

ObjectivesThis study reports the results of a qualitative study involving public health professionals and documents their experiences with cyberviolence, harassment and threats during the COVID-19 pandemic.Method and analysisThe research adopted...

Conservation priorities for endangered trees facing multiple threats around the world.

Trees are vital to the survival of numerous species and to forest ecosystem functioning. However, the current distribution, vulnerability to extinction, and conservation priorities of globally endangered trees are not well known. We mapped the global distribution of 1686 tree species listed as endangered on the International Union for the Conservation of Nature Red List and identified conservation priority for them based on species richness, life-history traits, evolutionary distinctiveness, future climate change, and intensity of human activities. We also evaluated the impacts of various threats to these endangered tree species and evaluated the effectiveness of their protection based on the percentage of the species' range inside protected areas. The worldwide distribution of endangered trees, from the tropics through temperate zones, was uneven. Most endangered tree species were not protected in their native ranges, and only 153 species were fully protected. Hotspots of tree diversity occurred primarily in the tropics, and 79.06% of these were highly vulnerable to threats. We identified 253 areas of high priority for the conservation of endangered trees that are highly threatened and insufficiently protected. In particular, 43.42% of unprotected tree species in priority areas lacked recommended conservation measures or had no associated conservation plan. The priority conservation areas and unprotected trees we identified serve as a guideline for future management underpinning the post-2020 global biodiversity framework.

Fear of heights shapes postural responses to vibration-induced balance perturbation at virtual height.

Standing upright at height is a challenging situation involving intense threat of balance loss and fall. The ability to maintain balance in such conditions requires properly resolving sensory conflicts and is influenced by fear. To get more insight on the role of fear in balance control at height, we explored the dynamics of postural behavior in the situation of enhanced threat of potential balance loss. In 40 young individuals with varying fear of heights, we combined simulated exposure to height in a virtual reality environment with bilateral vibration of tibialis anterior muscles which evokes posture destabilization (the so-called vibration-induced falling). Under such condition of enhanced postural threat, individuals with intense fear of heights showed stronger stiffening of posture compared with individuals with low fear of heights who react more flexibly and adaptively to posture destabilization. This group difference was evident already at ground level but further increased during virtual height exposure. Our data show that fear of height significantly affects posture adaptation to balance-destabilizing events. Our findings demonstrate that the assessment of postural behavior during threatening situations in the virtual reality environment provides valuable insights into the mechanisms of balance control and may be used to develop novel strategies aimed at prevention of falls.

Evaluation of real time fire performance of eco-efficient fly ash blended self-consolidating concrete including granite waste

Manufacturing of granite products generates enormous amounts of granite waste (GW) worldwide, which triggers environmental pollution on its dumping. On the other hand, the resistivity of concrete structures and the safety of humans are likely to undergo intense threats when exposed to fire attacks. Therefore, an experimental study was conducted to determine the real-time fire attack performance of eco-efficient fly ash blended self-consolidating concrete (SCC) containing up to 60% GW as a replacement for natural fine aggregate. The change in weight, compressive strength, water absorption, and ultrasonic pulse velocity characteristics of SCC were determined after being exposed to varying elevated temperatures of 200 ± 10 °C, 400 ± 10 °C, 600 ± 10 °C, and 800 ± 10 °C. Advanced Fourier transform infrared test was done to examine chemical changes in fire-exposed specimens. Test results revealed that FA blended SCC containing GW (up to 60%) exhibits better post-fire properties, with optimum mechanical and durability properties at 30%. Besides, sustainability analysis results revealed that the use of GW up to 40% exhibited better sustainable solutions under the given economic and environmental cost factors. This study concluded that up to 40% GW as a replacement to fine aggregate could be positively incorporated in the production of FA blended SCC, where failure due to fire is a problem.

Cumulative Spatial and Temporal Analysis of Anthropogenic Impacts in the Protected Area of the Gran Paradiso National Park in the NW Alps, Italy

Anthropogenic threats are responsible for habitat degradation and biodiversity decline. The mapping of the distribution and intensity of threats to biodiversity can be useful for informing efficient planning in protected areas. In this study, we propose a cumulative spatial and temporal analysis of anthropogenic impacts insisting on an alpine protected area, the Gran Paradiso National Park. The applied methodology starts with the construction of a spatial and temporal dataset of anthropogenic impacts and normalization based on relative intensity. The impacts analyzed include overgrazing, helicopter flights, road networks, built-up areas, worksites, derivations and discharges, sports activities, and dams and hydroelectric power plants. Each impact was assigned a weight based on its temporal persistence. Threats maps obtained from the collected, normalized, and weighted geodata are thus obtained. Finally, the risk map is calculated by combining the impact map with the vulnerability map, estimated through the methodology outlined in the Green Guidelines of the Metropolitan City of Turin. The risk map obtained was cross-referenced with the Park’s cartography to highlight any critical issues to specific habitats. Results show that most of the territory falls in low-risk (63%) or no-risk (35%) areas. However, there are some habitats that are totally or nearly totally affected by some degree of risk, although different to zero, such as the “Lentic waters with aquatic vegetation [incl. cod. 3130]”, the “Lentic waters partially buried”, the “Mountain pine forests (Pinus uncinata) [cod. 9430]”, and the “Mixed hygrophilous woods of broad-leaved trees [incl. cod. 91E0]”. This study highlights both the potential of these analyses, which enable informed management and planning of the fruition of protected areas, and the limitations of such approaches, which require in-depth knowledge of the territory and ecosystems and how they respond to threats in order to refine the model and obtain realistic maps.

A novel automated software and video analysis system for quantifying physiological responses of conditioned fear in mice

BACKGROUND: Conditioned fear is an aversive learning process that is highly sensitive to sensory conditions such as environmental context, threat intensity and circadian rhythms. To better understand these external variables that impact conditioned fear learning, we developed a novel software application that allows for programmable remote conditioned stimulus (CS, ie., auditory tone) delivery and recording of group-housed mice in a homecage, or familiar environment. The goal of our study was therefore to leverage this technology to examine conditioned fear in the homecage across light-dark (LD) circadian cycles. METHODS: Male C57bl/6J mice underwent Pavlovian auditory fear conditioning (20 CS/US pairings), with a CS-only group as a control (n=4/group). Mice were then returned to the homecage, equipped with speaker and camera. Using a customized open-source software to remotely evoke an enhanced physiological state of fear in the homecage, mice received a select number of conditioned auditory stimuli (30sec. intermittent tones) throughout the LD cycle over 14 days. The software was configured to deliver six tones (6kHz) over a 24hr period (3 light, 3 dark). The first CS during each LD cycle was recorded and percent freezing behavior was manually scored. On day 15, to evaluate whether the HC-specific evoked fear response transfers to a new environment, mice were placed into a novel context and CS-dependent freezing was measured. RESULTS: Over 14 days, compared to controls, fear-conditioned pair-housed mice exhibited strong CS-evoked freezing in the homecage ( total freezing: FC 70.46%, CS-only 3.69%, F(2.29, 11.14)=10.78, p<0.01). Interestingly, when we evaluated CS-specific circadian responses, fear-conditioned mice exhibited enhanced freezing in the light versus the dark phase ( total freezing: light 84.56%, dark 56.36%, F(2.15, 6.46)=11.04, p<0.01). In fear-conditioned mice, there was a 36% reduction in total CS-dependent homecage freezing over 14 days. However, this was a context-dependent effect, as the reduction in freezing on day 14 was not observed in the novel context on day 15 ( t(3)=3.16, p=0.05). CONCLUSIONS: Here we demonstrate for the first time, using an open-source software developed in our laboratory, environment and circadian-dependent conditioned freezing responses in the homecage of group-housed mice. This study provides a proof-of-principle innovative approach for examining physiological outcomes of conditioned fear across ethologically relevant environments, which may help further the understanding for heightened physiological responses in neuropsychiatric diseases such as posttraumatic stress disorder (PTSD). To further elucidate impaired physiological mechanisms of disordered fear, future studies will integrate multimodal behavioral (DeepLabCut TM ) and cardiovascular telemetry-based approaches. Congressionally Directed Medical Research Programs (CDMRP) PR210574 This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

The ALARM Theory of Consciousness: A Two-Level Theory of Phenomenal Consciousness

The scientific investigation of consciousness generates new findings at a rapid pace. We argue that we need a novel theoretical framework, which we call the ALARM theory of consciousness, in order to account for all central observations. According to this theory, we need to distinguish two levels of consciousness, namely basic arousal and general alertness. Basic arousal functions as a specific alarm system, keeping a biological organism alive under sudden intense threats, and general alertness enables flexible learning and behavioural strategies. This two-level theory of consciousness helps us to account for (i) recent discoveries of subcortical brain activities with a central role of thalamic processes, (ii) observations of differences in the behavioural repertoire of non-human animals indicating two types of conscious experiences. Furthermore, the framework enables us (iii) to unify the neural evidence for the relevance of subcortical processes, on the one hand, and of cortico-cortical loops, on the other, and finally (iv) to clarify the evolutionary and actual functional role of conscious experiences.

Why do Japanese people visit hot springs during a pandemic? A psychographic segmentation analysis

An increasing number of tourism studies are focusing on travel anxiety, fear, and worry, especially in light of the COVID-19 pandemic. This study explored the impact of worry on individuals' intentions to visit Japanese hot springs (onsen) during the COVID-19 pandemic. A market survey (N = 1042) was conducted in Tokyo. Psychographic segmentation based on exploratory factor analysis was used to group Japanese respondents. Three separate segments emerged as a result: Concerned Visitors, Carefree Visitors, and Trusting Visitors; these segments were based on perceived threat intensity, perceived infectability, response efficacy, self-efficacy, and crowded perception and attitude. These segments were then profiled using factors based on demographic information and visit intention under three criteria: a) without external travel incentives, b) with an attractive travel package, or c) discounts provided by the national Go to Travel campaign. Both attractive package prices and discounts provided by Go to Travel had a small effect on boosting visit intention. Notably, a carefree attitude toward COVID-19 did not increase visit intention and should not be considered a factor that may increase the number of people visiting onsen. Meanwhile, marital status and household composition significantly impacted intention to visit. The segments differed significantly by age, marital status, and family composition, but not gender. A better understanding of market segments is critical for hot spring destinations. Trusting visitors can be motivated to visit through external incentives. Although visiting onsen is not the main travel motive of Carefree Visitors, they might be encouraged to visit if campaigns contain vouchers for visits at their selected travel destination. The risk perceptions of Concerned Visitors might be lowered by the limiting visitor numbers, providing discounts during off-peak hours, or to onsen towns in remote locations are encouraged. Promotional material can highlight if rooms offer private pools or tubs. The motivation of visiting onsen for social activities has been lost significantly among all respondents, and offering group discounts is discouraged.

Performance during presentations: A question of challenge and threat responses?

The current study investigated how changes in psychological (cognitions and emotions) and physiological (cortisol concentrations) threat/challenge responses develop over the course of a presentation and whether initial intensity levels and their changes are related to self-efficacy and presentation performance. Based on the Trier Social Stress Test (TSST), 123 students held video-recorded presentations about their dream job, which were evaluated by three raters. Selfefficacy was measured before the TSST, saliva cortisol concentrations and psychological threat and challenge responses three times during the TSST. Data were analyzed with latent growth modeling. Threat and cortisol increased during the presentation, while challenge decreased. The growth curve coefficients of challenge correlated negatively with the respective coefficients of threat. Also, initial intensity of challenge responses correlated positively with corresponding cortisol concentrations. Higher self-efficacy was associated with higher initial intensity of challenge responses, lower corresponding concentrations of cortisol, and a smaller cortisol increase, but neither with the growth curve coefficients of threat responses nor with presentation performance. Better performance was associated with lower initial intensity of threat and a smaller increase in cortisol. Threat responses and increasing cortisol concentration appear to inhibit presentation performance, while self-efficacy may strengthen challenge responses and reduce corresponding levels of cortisol concentration as well as its increase.

Maritime Power Play in the Indian Ocean and Challenges for Pakistan Navy

While broadly highlighting developing maritime power tussles underway due to cooperation and competition between and/or among regional and extra-regional maritime stakeholders in the western quadrant of the Indian Ocean the research explores multifaceted internal and external challenges that Pakistan Navy is likely to face. Mainly, challenges that have emerged with the navy’s extended role and responsibilities in the aftermath of projects like Gwadar port development and maturing of the China Pakistan Economic Corridor (CPEC) are of serious concern. For, successful completion and subsequent sustainability of these projects is highly dependent upon secured maritime zone. The internal challenges include sea blindness, budgeting constraints to infrastructural upgradation and expansion, infiltration issues that surfaced within navy and domestic security issues to the CPEC. Whereas likely external challenges are conventional threats due to technological gaps with the traditional rival i.e., Indian Navy, probability, and intensity of non-conventional hybrid maritime threats and above all growing nuclearization that could result in regional instability. To counter such a wide and diverse array of challenges frequent evaluation and assessment of war and peace time roles of Pakistan Navy is required by strategic policy makers.

Climate change, disaster risk reduction and resilience

Climate change increases the risks of instability in all its forms, and significantly affects the frequency and intensity of natural threats. In the last two decades, 90 percent of the world's major disasters were caused by events such as heat waves, floods, and weather-related droughts. The 2019 Disaster Risk Assessment for the Republic of Croatia for 10 out of 15 simple risks determined that climate change affected their occurrence. Climate change also affects complex risks, especially in urban areas. Therefore, when assessing the impact of climate change on the environment, it is necessary to consider the impact they have on disaster risks. Disaster risk reduction and climate change adaptation have a common area of interest, partly overlapping

Madagascar's extraordinary biodiversity: Threats and opportunities.

Madagascar's unique biota is heavily affected by human activity and is under intense threat. Here, we review the current state of knowledge on the conservation status of Madagascar's terrestrial and freshwater biodiversity by presenting data and analyses on documented and predicted species-level conservation statuses, the most prevalent and relevant threats, ex situ collections and programs, and the coverage and comprehensiveness of protected areas. The existing terrestrial protected area network in Madagascar covers 10.4% of its land area and includes at least part of the range of the majority of described native species of vertebrates with known distributions (97.1% of freshwater fishes, amphibians, reptiles, birds, and mammals combined) and plants (67.7%). The overall figures are higher for threatened species (97.7% of threatened vertebrates and 79.6% of threatened plants occurring within at least one protected area). International Union for Conservation of Nature (IUCN) Red List assessments and Bayesian neural network analyses for plants identify overexploitation of biological resources and unsustainable agriculture as the most prominent threats to biodiversity. We highlight five opportunities for action at multiple levels to ensure that conservation and ecological restoration objectives, programs, and activities take account of complex underlying and interacting factors and produce tangible benefits for the biodiversity and people of Madagascar.

The impact of recreational activities on species at risk in Canada

Recreational activities are among the most common threats to species at risk. The use of standardized threat assessment tables in assessment reports for 300 Canadian species at risk since 2012 enabled a systematic comparison of threat categories considering both frequency and intensity of threats. Our analysis of these reports reveals that recreational activities are the most common threat to species at risk in Canada, affecting more species than any other threat category. However, the intensity of a threat should be considered. When accounting for the intensity of threats, recreational activities are the third-greatest threat to species at risk in Canada following “Invasive Non-native/Alien Species” and “Roads and Railroads”. Recreational activities were among the top five threats to molluscs, vascular plants, mosses, arthropods, marine and terrestrial mammals, and reptiles considering both frequency and intensity of threat to the assessed species in each taxonomic group. Among species at risk for which recreational activities posed at least a low-level threat, off-road vehicle use was the most commonly mentioned recreational threat. The second-most common recreational threat was hiking. Boating, mountain biking, camping, beach use, horseback riding, off-leash pets, and rock climbing were considered at least a low-level threat to five or more species. Common mechanisms of threat arising from recreational activities include direct mortality and damage from trampling species and/or their habitat, siltation and changes to water chemistry, disruption due to human presence, and noise disturbance. Recreation activities affected more species at risk than any other category of threat. The intensity of threat from recreational activities was negligible or low for most at-risk species affected. However, increases in recreational use and cumulative effects could result in more severe threats in the future. Both mechanized and non-mechanized recreational activities cause direct mortality, disturbance, and/or degradation of habitat for species at risk in Canada including many under-studied taxa. Thus, recreational activities that are typically unauthorised and those that are commonly permitted in protected areas warrant management attention to avoid impacts on species at risk, especially less conspicuous taxa.

Intensive hunting changes human-wildlife relationships.

Wildlife alter their behaviors in a trade-off between consuming food and fear of becoming food themselves. The risk allocation hypothesis posits that variation in the scale, intensity and longevity of predation threats can influence the magnitude of antipredator behavioral responses. Hunting by humans represents a threat thought to be perceived by wildlife similar to how they perceive a top predator, although hunting intensity and duration varys widely around the world. Here we evaluate the effects of hunting pressure on wildlife by comparing how two communities of mammals under different management schemes differ in their relative abundance and response to humans. Using camera traps to survey wildlife across disturbance levels (yards, farms, forests) in similar landscapes in southern Germany and southeastern USA, we tested the prediction of the risk allocation hypothesis: that the higher intensity and longevity of hunting in Germany (year round vs 3 months, 4x higher harvest/km2/year) would reduce relative abundance of hunted species and result in a larger fear-based response to humans (i.e., more spatial and temporal avoidance). We further evaluated how changes in animal abundance and behavior would result in potential changes to ecological impacts (i.e., herbivory and predation). We found that hunted species were relatively less abundant in Germany and less associated with humans on the landscape (i.e., yards and urban areas), but did not avoid humans temporally in hunted areas while hunted species in the USA showed the opposite pattern. These results are consistent with the risk allocation hypothesis where we would expect more spatial avoidance in response to threats of longer duration (i.e., year-round hunting in Germany vs. 3-month duration in USA) and less spatial avoidance but more temporal avoidance for threats of shorter duration. The expected ecological impacts of mammals in all three habitats were quite different between countries, most strikingly due to the decreases in the relative abundance of hunted species in Germany, particularly deer, with no proportional increase in unhunted species, resulting in American yards facing the potential for 25x more herbivory than German yards. Our results suggest that the duration and intensity of managed hunting can have strong and predictable effects on animal abundance and behavior, with the potential for corresponding changes in the ecological impacts of wildlife. Hunting can be an effective tool for reducing wildlife conflict due to overabundance but may require more intensive harvest than is seen in much of North America.

Assessing Urban Forest Threats across the Conterminous United States

Abstract Numerous threats to urban forests are assessed for the conterminous United States, including projected changes in urban tree cover, air temperatures, precipitation, aridity, sea level rise, wildfires, and flooding, as well as threats from hurricanes, tornadoes, ice storms, and insects and diseases. All potential threats were integrated into a cumulative threat index to illustrate which areas of the United States will likely face the greatest overall threat to their urban forests. Urban forests with the greatest cumulative threat per unit area are in the eastern United States, particularly in some coastal counties. Urban forests that have the greatest cumulative threat proportional to the percent of the county that is urbanized are in the highly urbanized areas along the DC–Boston corridor and in other metro areas (e.g., Atlanta, Georgia; Indianapolis, Indiana; Columbus, Ohio; Houston, Texas; Charlotte, North Carolina). By understanding local urban forest threats, management plans and policies can be enacted to help mitigate the impacts of and adapt to future threats to sustain healthy urban forests and associated benefits. Study Implications: By understanding the magnitude and variation in potential urban forest threats, forest managers can be better prepared to potentially minimize and adapt to future urban forest damage. Threat type and intensities of threats vary by location. Understanding the distribution and intensity of urban forest threats can be used to help direct policies and forest management plans to sustain long-term urban forest health. A tool to assess urban forest threats by county is available in the supplemental materials.

Social Cues of Safety Can Override Differences in Threat Level

Animals in groups integrate social with directly gathered information about the environment to guide decisions regarding reproduction, foraging, and defence against predatory threats. In the context of predation, usage of social information has acute fitness benefits, aiding the detection of predators, the mounting of concerted defensive responses, or allowing the inference of safety, permitting other beneficial behaviors, such as foraging for food. We previously showed that Drosophila melanogaster exposed to an inescapable visual threat use freezing by surrounding flies as a cue of danger and movement resumption as a cue of safety. Moreover, group responses were primarily guided by the safety cues, resulting in a net social buffering effect, i.e., a graded decrease in freezing behavior with increasing group sizes, similar to other animals. Whether and how different threat levels affect the use of social cues to guide defense responses remains elusive. Here, we investigated this issue by exposing flies individually and in groups to two threat imminences using looms of different speeds. We showed that freezing responses are stronger to the faster looms regardless of social condition. However, social buffering was stronger for groups exposed to the fast looms, such that the increase in freezing caused by the higher threat was less prominent in flies tested in groups than those tested individually. Through artificial control of movement, we created groups composed of moving and freezing flies and by varying group composition, we titrated the motion cues that surrounding flies produce, which were held constant across threat levels. We found that the same level of safety motion cues had a bigger weight on the flies’ decisions when these were exposed to the higher threat, thus overriding differences in perceived threat levels. These findings shed light on the “safety in numbers” effect, revealing the modulation of the saliency of social safety cues across threat intensities, a possible mechanism to regulate costly defensive responses.

Promoting corporate social responsibility message in COVID-19 advertising: How threat persuasion affects consumer responses to altruistic versus strategic CSR

Given the challenges facing companies in communicating corporate social responsibility (CSR) initiatives amid the pandemic, this study focuses on the effects of CSR appeals in COVID-19 advertising. Using the Ordered Protection Motivation model and CSR literature as the foundation, this study examined the interaction effect between CSR appeal (altruistic CSR vs. strategic CSR) and threat intensity (low vs. high) of the crisis depiction featured in the ad on consumers’ responses. Results revealed the moderating role of threat intensity on the relationships between CSR appeal and consumers’ responses, such that altruistic CSR appeal outperformed strategic CSR appeal when consumers were exposed to an ad featuring a high-threat crisis depiction, whereas the two appeals yielded similar effects when the ad featured a low-threat crisis depiction. In particular, altruistic CSR appeal (vs. strategic CSR appeal) generated greater message credibility, stronger feelings of warmth, and lower CSR skepticism, resulting in more favorable ad and brand attitudes and stronger purchase intentions, but only in the high threat condition.

Avoidance of mild threat observed in generalized anxiety disorder (GAD) using eye tracking

Attentional biases towards threat are assumed to be a causal factor in the development of anxiety disorders, including generalized anxiety disorder (GAD). However, findings have been inconsistent, and studies often examine single time-point bias during threat exposure, instead of across time. Attention to threat may shift throughout exposure (e.g., from initial engagement to avoidance), and research suggests that threat intensity and state anxiety influence attentional biases. No studies to our knowledge have examined biases across time and with varying threat intensity and state anxiety. Participants with GAD (n=38) and non-anxious controls (n=25) viewed emotional (high threat, mild threat, and positive) and neutral image pairs under calm and anxious mood states while their eye movements were tracked. Participants showed an initial orientation to emotional images, and, under the anxious mood induction, demonstrated a bias towards threatening images at first fixation and over time. Results suggest it may be normative to attend to threat cues over other stimuli while in an anxious state. Individuals with GAD uniquely showed a bias away from mild (but not high) threat images over time relative to controls. Implications for theories of attentional biases to threat and clinical implications for GAD and anxiety disorders broadly are discussed.

Pre-trained ensemble model for identification of emotion during COVID-19 based on emergency response support system dataset

The COVID-19 precautions, lockdown, and quarantine implemented throughout the epidemic resulted in a worldwide economic disaster. People are facing unprecedented levels of intense threat, necessitating professional, systematic psychiatric intervention and assistance. New psychological services must be established as quickly as possible to support the mental healthcare needs of people in this pandemic condition. This study examines the contents of calls landed in the emergency response support system (ERSS) during the pandemic. Furthermore, a combined analysis of Twitter patterns connected to emergency services could be valuable in assisting people in this pandemic crisis and understanding and supporting people’s emotions. The proposed Average Voting Ensemble Deep Learning model (AVEDL Model) is based on the Average Voting technique. The AVEDL Model is utilized to classify emotion based on COVID-19 associated emergency response support system calls (transcribed) along with tweets. Pre-trained transformer-based models BERT, DistilBERT, and RoBERTa are combined to build the AVEDL Model, which achieves the best results. The AVEDL Model is trained and tested for emotion detection using the COVID-19 labeled tweets and call content of the emergency response support system. This is the first deep learning ensemble model using COVID-19 emotion analysis to the best of our knowledge. The AVEDL Model outperforms standard deep learning and machine learning models by attaining an accuracy of 86.46 percent and Macro-average F1-score of 85.20 percent.