Everyday Life Settings Research Articles

Modelling airborne transmission of SARS-CoV-2 using CARA: risk assessment for enclosed spaces.

The COVID-19 pandemic has highlighted the need for a proper risk assessment of respiratory pathogens in indoor settings. This paper documents the COVID Airborne Risk Assessment methodology, to assess the potential exposure of airborne SARS-CoV-2 viruses, with an emphasis on virological and immunological factors in the quantification of the risk. The model results from a multidisciplinary approach linking physical, mechanical and biological domains, enabling decision makers or facility managers to assess their indoor setting. The model was benchmarked against clinical data, as well as two real-life outbreaks, showing good agreement. A probability of infection is computed in several everyday-life settings and with various mitigation measures. The importance of super-emitters in airborne transmission is confirmed: 20% of infected hosts can emit approximately two orders of magnitude more viral-containing particles. The use of masks provides a fivefold reduction in viral emissions. Natural ventilation strategies are very effective to decrease the concentration of virions, although periodic venting strategies are not ideal in certain settings. Although vaccination is an effective measure against hospitalization, their effectiveness against transmission is not optimal, hence non-pharmaceutical interventions (ventilation, masks) should be actively supported. We also propose a critical threshold to define an acceptable risk level.

Developmental Coordination Disorder, Impact of Fine Motor Skills on Handwriting and Academic Performance in School Going Children: A Research Protocol

Introduction: Developmental Coordination Disorder (DCD) is a neurodevelopmental disease that inhibits muscle coordination that affects everyday life tasks and academic achievement. Children with DCD are often characterized as "clumsy" and "uncoordinated" and often lead to performance problems that most often create (TD) children can easily execute. Generally, treatments for DCD are not expected to succeed and the disease has no treatment. Therapies, on the other hand, will include skills, solutions, and accommodations that make it simpler for children with DCD to execute the motor activities required in everyday life and school settings. Some studies emphasize that child’s developmental status plays an important role in academic performance, but there is limited evidence which focuses on fine motor performance in children suspected of DCD, and its effect on their handwriting and academic performance.
 Methodology: This observational cross-sectional study will be conducted at several schools around Wardha, with 1511 school-aged children of both genders ranging in age from 8 to 14 years participating.
 Discussion: Some studies stress the importance of a child's developmental status in academic achievement, however, there is minimal data that focus on fine motor skills in children suspected of having DCD and its impact on handwriting and academic performance.
 Conclusion: This study will help us in determining the prevalence of developmental coordination disorder and the relationship between handwriting and academic performance in these children.

A Vocationally Focused Approach to Teaching Literacy in the 21st Century: A Vygotskian perspective

The overriding concern with economic crisis following Covid-19 pandemic meant that literacy education became narrowly defined as skills-for-employment. There have been attempted shifts towards a much more vocationally focused agenda, focusing on what is considered to be the key cognitive and workplace skills required for successful participation in the national economic development after the pandemic. Functional literacy links literacy with economic development, individual prosperity and vocational achievement. “The term ‘functional’ should be considered in the broad sense of providing learners with the skills and abilities they need to take an active and responsible role in their communities, everyday life, the workplace and educational settings. Functional English requires learners to communicate in ways that make them effective and involved as citizens, to operate confidently and to convey their ideas and opinions clearly (QCDA 2007). However, many young professionals with college degrees suffer an inability to use functional illiteracy, and this poses a threat to the country’s development. This paper suggests a model for teaching 21st century literacies in which new knowledge and skills necessary for successful adaptation to changing world are continuously acquired throughout life. It proposes a functional, vocationally-focused approach to education based on Vygotsky’s perspective on literacy in the 21st century in order to promote educational reform. This approach attempts to bridge the gap between disciplinary and practical knowledge integrating language and content within a CLIL methodology.

A multi-point heart rate monitoring using a soft wearable system based on fiber optic technology

Early diagnosis can be crucial to limit both the mortality and economic burden of cardiovascular diseases. Recent developments have focused on the continuous monitoring of cardiac activity for a prompt diagnosis. Nowadays, wearable devices are gaining broad interest for a continuous monitoring of the heart rate (HR). One of the most promising methods to estimate HR is the seismocardiography (SCG) which allows to record the thoracic vibrations with high non-invasiveness in out-of-laboratory settings. Despite significant progress on SCG, the current state-of-the-art lacks both information on standardized sensor positioning and optimization of wearables design. Here, we introduce a soft wearable system (SWS), whose novel design, based on a soft polymer matrix embedding an array of fiber Bragg gratings, provides a good adhesion to the body and enables the simultaneous recording of SCG signals from multiple measuring sites. The feasibility assessment on healthy volunteers revealed that the SWS is a suitable wearable solution for HR monitoring and its performance in HR estimation is strongly influenced by sensor positioning and improved by a multi-sensor configuration. These promising characteristics open the possibility of using the SWS in monitoring patients with cardiac pathologies in clinical (e.g., during cardiac magnetic resonance procedures) and everyday life settings.

Quantifying Avoidable Food Waste and Identifying Its Underlying Causes: A Case Study of a University Dormitory in Thailand

To develop well-planned and effective policies and programs for reducing avoidable food waste, it is important to quantify the actual food waste level in particular settings and assess relationships among consumers’ awareness, attitudes, and behaviors. Recognizing these considerations, this paper measured avoidable food waste generated by university students living in dormitory buildings and identified its underlying causes in the case of Kanchanaburi campus, Mahidol University, Thailand. The study applied a food waste composition survey 18 times between January and May 2019 while administering questionnaires in October 2019 to the dormitory students. Based on these measures, the study identified 1,417 instances of avoidable food waste. Approximately half of the avoidable food waste had not even been eaten. Most of this waste was generated by female students. Some factors in terms of motivation, opportunity, and ability using a Motivation, Opportunity, Ability framework were found to have induced more food waste among female students. Due attention to the effect of avoidable food waste reduction includes educating dormitory students about food waste as well as more space and increased visibility of stored food in shared refrigerators. Targeting university students for reducing avoidable food waste in the setting of everyday life in dormitories is needed rather than simply focusing on the food service sector on campus.

Intellectual Property Rights: A Thorough Study Of Industrial Design

Industrial plan is a course of configuration applied to actual items that are to be made by large scale manufacturing. It is the inventive demonstration of deciding and characterizing an item's structure and provisions, which happens ahead of the assembling or creation of the item. Conversely, fabricate comprises simply of rehashed, frequently mechanized, replication, while make based plan is a cycle or approach where the type of the item is controlled by the item's maker to a great extent simultaneous with the demonstration of its creation. Industrial Design (ID) is the skilled act of planning items, Gadgets, Articles and Administrations utilized by a great many individuals all throughout the Planet Consistently.
 Industrial planners ordinarily center around the actual appearance, usefulness and manufacturability of an item, however they are frequently engaged with undeniably really during an Improvement Cycle. All of this eventually stretches out to the generally enduring worth and experience an item or administration accommodates end-clients.
 Each item that you communicate with consistently in your home, office, everyday life setting is the aftereffect of a plan cycle. During this interaction, horde choices are made by an industrial planner (and their group) that are pointed toward working on your life through the first-rate plan.

A-136 The Transfer of Cognitive Training to Real-World Functioning: Results of our First Six Pilot Subjects at Six-Month Follow-Up

Abstract Objective Currently, the majority of cognitive training research measures treatment efficacy using in-laboratory measures, with minimal focus on real-world treatment changes. This case series demonstrates the feasibility of transferring cognitive improvements from the laboratory into the everyday life setting. Method This case series includes 6 chronic post-stroke participants; mild to moderate cognitive impairment. The intervention combines cognitive training with behavioral techniques, known as the Transfer Package (TP). The TP involves components that target functionality on IADLs in the real-world. Performance on cognitively-based IADLs in the real world are measured pre-treatment, post, and 6-month follow-up. Measures of real-world ability are the: Canadian Occupational Performance Measure (COPM), Cognitive Task Activity Log (CTAL) and Inventory of Improved and New Abilities (INCA). In-laboratory measures included the D-KEFS and Timed IADL assessments. Results The real-world outcome measures used in this study were the COPM and two measures developed for this study, the CTAL and INCA. The mean change from pre to post on the COPM Performance Scale was 2.18 (SD = 1.33) and the mean change on the COPM Satisfaction Scale was 2.70 (SD = 1.27). The mean change on the CTAL was 1.96 (SD = 0.93). On the INCA, the mean number of improved real-world cognitive activities was 11.8 (SD = 4.9) and the mean number of new cognitive activities was 7.6 (SD = 3.9). Follow-up reported near-perfect retention on CTAL and continued improvement on the INCA. There were minimal changes on in-laboratory measures. Conclusions This case series provides a framework for achieving the transfer of cognitive training treatment effects in the real-world life situation by overcoming behavioral barriers to functioning.

Challenge Accepted! a Critical Reflection on How to Perform a Health Survey Among University Students-An Example of the Healthy Campus Mainz Project.

Background: Universities represent an important setting of everyday life for health promotion. The Healthy Campus Mainz project aims to develop an evidence-based and comprehensive student health management program covering physical, mental, and social health promotion. Hence, an initial health survey was performed in order to identify the students' health concerns and resources. Up until now, it remains unclear which topics to choose in a health survey among university students and which strategies can be recommended to receive an acceptable response rate or representative student sample within a university setting. The present paper contributes to the call for the present research topic “Public Health Promotion in University Students” by describing methods for health assessment. Therefore, the current paper aims to give an empirical example on how to perform a health survey among university students, focusing on (1) choosing topics for the survey and (2) methodological considerations of how to reach the target population.Methods: An online questionnaire including around 270 items was developed covering a comprehensive set of health topics. Participants were recruited via the university email. Mixed channels for survey promotion, such as lecture visits and social media, were used, accompanied by different monetary and non-monetary incentives. Descriptive analyses were performed to describe the sample.Results: A total of 5,006 participants (out of 31,213 registered students) viewed the first page of the questionnaire; of whom, 4,714 continued further. After a manual data cleaning according to the predefined criteria, the final sample was 4,351, demonstrating a response rate of 13.9%. Students from different study disciplines participated. However, some study disciplines showed a low participation rate, hence, making the results not free from some bias.Discussion: This survey is exceptional as it integrates a great variety of health aspects. The incentive strategy demonstrated promising results. Future research should try to improve target-group-specific recruitment strategies for the traditionally underrepresented groups, such as males and specific study disciplines. This would not only include advancing marketing strategies, but also refining the incentive strategy.

Psychological structure and neuroendocrine patterns of daily stress appraisals

Threat and challenge are two fundamental appraisal concepts of psychological stress theories, determined by the mismatch between demands and resources. Previous research has predominantly investigated the neuroendocrine correlates of stress appraisal in laboratory contexts during acute demanding situations. We tested whether the psychoneuroendocrinology of stress appraisals can also be investigated in naturalistic trans-contextual everyday life settings. Forty-two participants produced five daily saliva samples and provided concurrent questionnaire data on subjective stress, demands, resources, and the threat–challenge continuum over the course of five days (69% female; mean age = 22.8, range = 18–30 years). Momentary salivary cortisol and alpha amylase were predicted with three-level autoregressive linear mixed models. We found that both momentary cortisol and alpha amylase were elevated during higher subjective stress. In contrast, cortisol was not significantly related to a bipolar threat–challenge indicator. Moreover within-person response surface analyses showed no effect of the mismatch between demands and resources on either physiological stress indicator, but confirmed theoretically proposed effects on subjective threat–challenge, which was replicated in another intensive longitudinal (N = 61) and a large cross-sectional sample (N = 1194). In sum, our study (a) suggests robust relations between subjective stress and HPA/SAM axis activity on a moment-to-moment basis and (b) confirms theoretical predictions concerning stress appraisal and the mismatch between demands and resources on a psychological level. In contrast, no neuroendocrine patterns of threat–challenge were found, suggesting that neuroendocrine patterns might be context-specific and do not apply to a general demand-resource imbalance in everyday life.

How Do Children and Their Mothers Make Sense of Photographs Containing Other Children?

Photographing is a cultural activity that helps share, make sense of and transform historical, personal, and societal experience and knowledge. The widespread practice of parents’ photograph taking and posting of their children inspired this study. The study asks: How do mothers and children use photographs of children to make sense of childhood? The research included an activity, where children (ages 7-10) and their mothers narrated stories using two photos of children. Children and mothers emphasized some shared and important different values. Values that differ in emphasis across participants reflect their different positions in everyday life settings or conflicting perspectives.

Gait Patterns and Mood in Everyday Life: A Comparison Between Depressed Patients and Non-depressed Controls

BackgroundPrevious laboratory findings suggest deviant gait characteristics in depressed individuals (i.e., reduced walking speed and vertical up-and-down movements, larger lateral swaying movements, slumped posture). However, since most studies to date assessed gait in the laboratory, it is largely an open question whether this association also holds in more naturalistic, everyday life settings. Thus, within the current study we (1) aimed at replicating these results in an everyday life and (2) investigated whether gait characteristics could predict change in current mood.MethodsWe recruited a sample of patients (n = 35) suffering from major depressive disorder and a sample of age and gender matched non-depressed controls (n = 36). During a 2-day assessment we continuously recorded gait patterns, general movement intensity and repetitively assessed the participant’s current mood.ResultsWe replicated previous laboratory results and found that patients as compared to non-depressed controls showed reduced walking speed and reduced vertical up-and-down movements, as well as a slumped posture during everyday life episodes of walking. Moreover, independent of clinical diagnoses, higher walking speed, and more vertical up-and-down movements significantly predicted more subsequent positive mood, while changes in mood did not predict subsequent changes in gait patterns.ConclusionIn sum, our results support expectations that embodiment (i.e., the relationship between bodily expression of emotion and emotion processing itself) in depression is also observable in naturalistic settings, and that depression is bodily manifested in the way people walk. The data further suggest that motor displays affect mood in everyday life.

Acoustic and language analysis of speech for suicidal ideation among US veterans

BackgroundScreening for suicidal ideation in high-risk groups such as U.S. veterans is crucial for early detection and suicide prevention. Currently, screening is based on clinical interviews or self-report measures. Both approaches rely on subjects to disclose their suicidal thoughts. Innovative approaches are necessary to develop objective and clinically applicable assessments. Speech has been investigated as an objective marker to understand various mental states including suicidal ideation. In this work, we developed a machine learning and natural language processing classifier based on speech markers to screen for suicidal ideation in US veterans.MethodologyVeterans submitted 588 narrative audio recordings via a mobile app in a real-life setting. In addition, participants completed self-report psychiatric scales and questionnaires. Recordings were analyzed to extract voice characteristics including prosodic, phonation, and glottal. The audios were also transcribed to extract textual features for linguistic analysis. We evaluated the acoustic and linguistic features using both statistical significance and ensemble feature selection. We also examined the performance of different machine learning algorithms on multiple combinations of features to classify suicidal and non-suicidal audios.ResultsA combined set of 15 acoustic and linguistic features of speech were identified by the ensemble feature selection. Random Forest classifier, using the selected set of features, correctly identified suicidal ideation in veterans with 86% sensitivity, 70% specificity, and an area under the receiver operating characteristic curve (AUC) of 80%.ConclusionsSpeech analysis of audios collected from veterans in everyday life settings using smartphones offers a promising approach for suicidal ideation detection. A machine learning classifier may eventually help clinicians identify and monitor high-risk veterans.

Civic Learning for a Democracy in Crisis.

This essay introduces a special report from The Hastings Center entitled Democracy in Crisis: Civic Learning and the Reconstruction of Common Purpose, which grew out of a project supported by the John S. and James L. Knight Foundation. This multiauthored report offers wide-ranging assessments of increasing polarization and partisanship in American government and politics, and it proposes constructive responses to this in the provision of objective information, institutional reforms in government and the electoral system, and a reexamination of cultural and political values needed if democracy is to function well in a pluralistic and diverse society. The essays in the special report explore the norms of civic learning and institutions, social movements, and communal innovations that can revitalize civic learning in practice. This introductory essay defines and explains the notion of civic learning, which is a lynchpin connecting many of the essays in the report. Civic learning pertains to the ways in which citizens learn about collective social problems and make decisions about them that reflect the duties and responsibilities of citizenship. Such learning can occur in many social settings in everyday life, and it can also be facilitated through participation in the processes of democratic governance on many levels. Civic learning is not doctrinaire and is compatible with a range of public goals and policies. It is an activity that increases what might be called the democratic capability of a people.

Ecological psychology as social psychology?

Several articles published in this journal over a number of years have examined the social dimensions of Gibsonian ecological psychology. The present paper picks up several of their themes, with an emphasis on the social developmental consequences of individuals participating in community structures and engaging the affordances that support them. From this perspective, the situated nature of activity in everyday settings is examined, which in turn highlights the role of places as higher order emergent eco-psychological structures (or behavior settings) in everyday life. Moreover, ecological psychology’s discovery of occluding edge effects, which demonstrates that objects that have gone out of sight are experienced as persisting in awareness, serves as the basis for a proposal that the awareness of social structures of a conceptual nature may arise from the pragmatics of perception–action from an ecological perspective.

The role of targeted hygiene in the home and everyday life setting in tackling antibiotic resistance.

The role of targeted hygiene in the home and everyday life setting in tackling antibiotic resistance.

Defining Conditional Belonging: The Case of Female Science Fiction Fans

This article offers a rigorous conceptualisation of an undeveloped sociological concept: conditional belonging. It implements and develops conditional belonging in the setting of everyday life by examining female fans of science fiction. Based on 30 in-depth interviews with female fans of Doctor Who and Star Wars, this study defines conditional belonging as a liminal state in which new members are constructed as a threatening ‘other’ and required to demonstrate conformity to the community. Having to align with values established by veteran members disrupts the ability of those who conditionally belong to perceive their identities as authentic. Conditional belonging is explored in offline and online settings, exposing the tactics used online by female fans to ensure their belonging. Through demonstrating the ways in which conditional belonging is cultivated and enforced, this article contributes to a nuanced understanding of belonging, not as a binary condition, but a multi-layered, complex one.

What possibilities and barriers for community engagement does graphical facilitation establish?

Abstract Participatory approaches are appropriate to apply in interventions aiming at improving health and wellbeing in the everyday life of people living in deprived areas. However, more research is needed on how participation is staged, what negotiations of power are possible and to what extent the applied methods for engagement are accessible to a less affluent spectrum of residents. We apply an interdisciplinary approach to allow theoretical reflections on the applied strategy of participation. The intervention employs the use of physical materials through the performance of drawing to make participation less dependent of language and writing skills and hereby more equal. With this participatory intervention study, we aim to empower residents to increase their ability to act on their own health, i.e. social relations and life quality. We apply graphical facilitation by using physical drawing materials to explore how this method can give voice to the residents by providing them the opportunity to tell their story - from where they came to where they hope to go. The main component in the study is four participatory workshops in spring 2020: a) two focusing on teaching of basic drawing skills; b) one where the residents individually draw their own life story; c) one where the residents draw their shared vision of their community. This intervention study aims to contribute to health promotion by exploring generic methods to engage residents in deprived areas. The intended outcome is to empower residents by giving them a means of communication transferable to other settings in everyday life.

Conversational Therapy through Semi-Immersive Virtual Reality Environments for Language Recovery and Psychological Well-Being in Post Stroke Aphasia

Aphasia is a highly disabling acquired language disorder generally caused by a left-lateralized brain damage. Even if traditional therapies have been shown to induce an adequate clinical improvement, a large percentage of patients are left with some degree of language impairments. Therefore, new approaches to common speech therapies are urgently needed in order to maximize the recovery from aphasia. The recent application of virtual reality (VR) to aphasia rehabilitation has already evidenced its usefulness in promoting a more pragmatically oriented treatment than conventional therapies (CT). In the present study, thirty-six chronic persons with aphasia (PWA) were randomly assigned to two groups. The VR group underwent conversational therapy during VR everyday life setting observation, while the control group was trained in a conventional setting without VR support. All patients were extensively tested through a neuropsychological battery which included not only measures for language skills and communication efficacy but also self-esteem and quality of life questionnairies. All patients were trained through a conversational approach by a speech therapist twice a week for six months (total 48 sessions). After the treatment, no significant differences among groups were found in the different measures. However, the amount of improvement in the different areas was distributed over far more cognitive and psychological aspects in the VR group than in the control group. Indeed, the within-group comparisons showed a significant enhancement in different language tasks (i.e., oral comprehension, repetition, and written language) only in the VR group. Significant gains, after the treatment, were also found, in the VR group, in different psychological dimensions (i.e., self-esteem and emotional and mood state). Given the importance of these aspects for aphasia recovery, we believe that our results add to previous evidence which points to the ecological validity and feasibility of VR treatment for language recovery and psychosocial well-being.

Low-Burden Mobile Monitoring, Intervention, and Real-Time Analysis Using the Wear-IT Framework: Example and Usability Study.

BackgroundMobile health (mHealth) methods often rely on active input from participants, for example, in the form of self-report questionnaires delivered via web or smartphone, to measure health and behavioral indicators and deliver interventions in everyday life settings. For short-term studies or interventions, these techniques are deployed intensively, causing nontrivial participant burden. For cases where the goal is long-term maintenance, limited infrastructure exists to balance information needs with participant constraints. Yet, the increasing precision of passive sensors such as wearable physiology monitors, smartphone-based location history, and internet-of-things devices, in combination with statistical feature selection and adaptive interventions, have begun to make such things possible.ObjectiveIn this paper, we introduced Wear-IT, a smartphone app and cloud framework intended to begin addressing current limitations by allowing researchers to leverage commodity electronics and real-time decision making to optimize the amount of useful data collected while minimizing participant burden.MethodsThe Wear-IT framework uses real-time decision making to find more optimal tradeoffs between the utility of data collected and the burden placed on participants. Wear-IT integrates a variety of consumer-grade sensors and provides adaptive, personalized, and low-burden monitoring and intervention. Proof of concept examples are illustrated using artificial data. The results of qualitative interviews with users are provided.ResultsParticipants provided positive feedback about the ease of use of studies conducted using the Wear-IT framework. Users expressed positivity about their overall experience with the framework and its utility for balancing burden and excitement about future studies that real-time processing will enable.ConclusionsThe Wear-IT framework uses a combination of passive monitoring, real-time processing, and adaptive assessment and intervention to provide a balance between high-quality data collection and low participant burden. The framework presents an opportunity to deploy adaptive assessment and intervention designs that use real-time processing and provides a platform to study and overcome the challenges of long-term mHealth intervention.

Detection of Artifacts in Ambulatory Electrodermal Activity Data

Recent wearable devices enable continuous and unobtrusive monitoring of human's physiological parameters, like e.g., electrodermal activity and heart rate, over long periods of time in everyday life settings. Continuous monitoring of these parameters enables the creation of systems able to predict affective states and stress with the goal of providing feedback to improve them. Deployment of such systems in everyday life settings is still complex and prone to errors due to the low quality of the collected data impacted by the presence of artifacts. In this paper we present an automatic approach to detect artifacts in electrodermal activity (EDA) signals collected in-the-wild over long periods of time. To this end we first perform a systematic literature review and compile a set of guidelines for human annotators to label artifacts manually and we use these labels as ground-truth to test our automatic approach. To evaluate our approach, we collect physiological data from 13 participants in-the-wild and two human annotators label 107.56 hours of this data set. We make the data set publicly available to other researchers upon request. Our model achieves a recall of 98% for clean and shape artifacts classification on data collected in-the-wild using leave-one-subject-out cross-validation, which is 42 percentage points higher than the baseline. We show that state of the art approaches do not generalize well when tested with completely in-the-wild data and identify only 17% of the artifacts present in our data set, even after manual adaption. We further test the robustness of our approach over time using leave-one-day-out and achieve very similar performance. We then introduce a new metric to evaluate the quality of EDA segments that considers the impact of not only artifacts in the shape of EDA but also artifacts generated by environmental temperature changes or user's high intensity movement. Our results imply that we can eliminate the need for human annotators or significantly reduce the time they need to label data. Also, our approach can be used in an online manner to automatically detect artifacts in EDA signals.