Cities of Central Asia: New hotspots of air pollution in the world

Central Asian cities are one of the hotspots for air pollution worldwide. There are limited studies and knowledge regarding air quality variation in this region. This study investigated PM2.5 temporal variations and the influence of meteorological parameters on PM2.5 concentrations for six major cities in Central Asia: Almaty and Astana (Kazakhstan), Ashgabat (Turkmenistan), Bishkek (Kyrgyzstan), Dushanbe (Tajikistan), and Tashkent (Uzbekistan). The results show severe air quality deterioration in the cities with annual PM2.5 concentrations up to ten-fold higher than the limits. A clear seasonal pattern with winter peaks was observed in Almaty, Bishkek, and Astana, whereas winter and summer were highly polluted in Tashkent and Dushanbe. Based on the pollution profiles, cities were classified into several clusters. Episodes with high PM2.5 concentrations were evaluated for regional pollutant transportation using the HYSPLIT model. The results of this investigation highlight a significant discrepancy in official emissions inventory studies. While previous studies have suggested that transportation is the primary source of air pollution, the approach to estimate the share of emission sources was based on an outdated methodology that obscures information on the most hazardous pollutants, including PM2.5. This study shows that coal combustion is the primary source of PM2.5 pollution in most cities, offering policymakers critical insights into the sources of air pollution in the region. These findings demonstrate the need for policymakers to take swift action to address coal use and adopt effective measures to mitigate PM2.5 pollution, thereby improving the health and well-being of the population.

Framing blockchain-integrated digital twins for emergent healthcare management at local and city levels: A proof of concept

It has been witnessed that digital technology has the potential to improve the efficiency of emergent healthcare management in COVID-19, which however has not been widely adopted due to unclear definition and configuration. This research aims to propose a proof of concept of digital twins for emergent healthcare management through configuring the cyber and functional interdependencies of healthcare systems at local and city levels. Critical interdependencies of healthcare systems have been firstly identified at both levels, then the information and associated cyber and functional interdependencies embedded in seven critical hospital information systems (HISs) have been identified and mapped. The proposed conceptual digital twin-based approach has been then developed for information coordination amongst these critical HISs at both local and city levels based on permissioned blockchain to (1) integrate and manage the information from seven critical HISs, and further (2) predict the demands of medical resources according to patient trajectory. A case study has been finally conducted at three hospitals in London during the COVID-19 period, and the results showed that the developed framework of blockchain-integrated digital twins is a promising way to provide more accurate and timely procurement information to decision-makers and can effectively support evidence-based decisions on medical resource allocation in the pandemic. © 2023 ICE Publishing: All rights reserved.

Understanding relationship satisfaction during covid-19: Assessing unstable work experiences and negative communication

The coronavirus (COVID-19) pandemic resulted in economic concerns and disruptions in daily life for many families, which may amplify relational strains and create new tensions between romantic partners. Economic stressors may be particularly salient to later relationship quality in the context of more negative relationship functioning. This study investigated dyadic trajectories of relationship satisfaction in 116 different-sex couples over a 6-month period during the pandemic. We explored the impact of unstable work experiences on later relationship satisfaction, and if this effect was exacerbated by higher levels of negative communication. Men and women had different initial levels of relationship satisfaction, but indistinguishable rates of change in satisfaction. For men, reports of unstable work experiences early in the pandemic were positively associated with declines in relationship satisfaction, but this was not the case for women. The consequential impact of unstable work experiences did not differ based on levels of negative communication, nor was negative communication early in the pandemic related to either partner's change in satisfaction over time. We conclude by highlighting the importance of accounting for the context in which relationships develop. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Characterization and Optimization of Trajectory Errors on Remote-Controlled Differential Drive Robot through Speed Calibration

An increase in interest in research projects which involves the design of robotic systems that minimizes interactions between humans has been caused by the COVID-19 outbreak, as such technology can greatly benefit healthcare industries in preventing the spread of highly infectious diseases. The utilization of remote-controlled robots in many different fields, especially in the medical field is becoming more and more necessary. However, mobile robots are susceptible to both systematic and nonsystematic errors that cause deviations in its trajectory. In view thereof, the researchers explored the possibility of minimizing the trajectory errors through speed calibration. The differential drive robot was navigated to finish a five-meter linear path of forward and backward motion. The test was conducted with a default linear speed of 0.5 m/s in which a high trajectory error was observed. Upon changing the speed of the robot, the same trajectory test was conducted at four additional different speeds, namely;0.25 m/s, 0.35 m/s, 0.65m/s and 0.75 m/s. With the gathered data, the researchers conducted a linear least-squares regression model using MATLAB wherein there is only one predictor variable (speed of the robot) and one response variable (deviation). Based on the results, the researchers concluded that the speed of 0.35 m/s is the optimal speed in which the trajectory error of the robot is minimal. The researchers recommend improving the design of the caster wheels to minimize the effects of nonsystematic errors. © 2022 IEEE.

Difficulties in the schooling of children and adolescents during the COVID-19 pandemic in Argentina in households supported by women

This article analyzes the way in which children and adolescents went through schooling, particularly in single-mother households, during the COVID-19 pandemic. The scarce official information published is reconstructed and compiled, specific cross-check are made through the official microdata base and different documents produced by international organizations, particularly UNICEF, are selected. A quantitative and qualitative (that is, mixed) analysis is combined here, based on the work with the aforementioned sources. It is expected to provide inputs for decision-making while at the same time providing material that contributes to the field of work on school inequality that was generated during the pandemic. The general question guiding this work is to what extent the COVID-19 pandemic will deepen pre-existing marks in the educational system and what is the schooling gap by gender that the pandemic will leave behind.

Charting well-being over adulthood into pandemic times: a longitudinal perspective

The purpose of this study is to investigate how well-being changes over the adult life course from early adulthood in 1998 through to the COVID-19 pandemic in 2021. We identify diverse well-being trajectories over time in a cohort of British Columbians and explore the extent to which changes in well-being associated with the pandemic varied for individuals in these different trajectory groups. Specifically, we ask: what was the effect of the pandemic on the well-being of individuals with different prior well-being trajectories over adulthood and how were these effects related to personal, educational and employment factors? To address this question, we model well-being trajectories over a large span of adulthood from the age of 28 to 51 years old. We find a diversity of distinct patterns in well-being changes over adulthood. The majority experience high well-being over time, while almost one in five experiences either chronically low or drastically decreased well-being in mid-adulthood, which coincides with the pandemic. Notably, those who have completed post-secondary education are less likely to report low well-being trajectories. Those with the lowest well-being over time also report the largest negative effects of the pandemic, which illustrates the compounding effects of the pandemic on existing inequalities.

A brief history of now: The past and present of global power

Exploring the rise and fall of global power from the mid-nineteenth century, this book tracks the long and interrelated trajectories of the most serious challenges facing the world today. Although at first the urgency of the coronavirus outbreak in 2020 seemed to take precedence over other global problems such as socioeconomic inequality and climate change, it has ultimately exacerbated these issues and created opportunities to address them boldly and innovatively. A Brief History of Now provides a bird's-eye view of world hegemony, economic globalization and political regimes as they have evolved and developed over the last two hundred years, providing context and insights into the forces which have shaped the Western world. Presented in an accessible and engaging narrative, the book addresses key contemporary challenges and explores the repercussions of a technological revolution, the potential instability of democracy over the coming years, and the urgent struggle to tackle climate change. With his book, Diego Olstein helps to answer pressing questions about our world today and provides a roadmap for analysing future trajectories. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved.

Improvement of Trajectory Errors on Remote- Controlled Differential Drive Robot via Mobilebased GUI through Bluetooth Connection

There has been an increase of interest and demand in the usage of logistic indoor service robots that are designed to minimize interactions between humans due to the occurrence of the COVID-19 outbreak. The application of the rising technology in the medical sector has great benefits in the industry, such as the prevention of the spread of highly infectious diseases using distance as a factor. Rooting from the purpose of the said robot, the main focus should be the ease of navigation through achieving the desired trajectory, in order to maximize the functionality, prevent collision, reduce user maneuvering difficulties, and such. Hence, this paper is focused on improving the trajectory errors on the robot navigation performance based on different control system designs specifically, a physical joystick controller and a mobile-based Bluetooth application controller. The design of the joystick is based on a pivot as its base which is directed to all angles and the design of the Bluetooth app is based on fourdirectional buttons that will operate upon clicking, and switching to other buttons to change commands. With this, the researchers conducted linear path and rotational tests using both remote control modes that are based on five varying speed values of 0.75 m/s, 0.5m/s, 0.35m/s, 0.25m/s, and 0.15 m/s. Based on the data analysis, the yielded results showed that using the Bluetooth app lowers the robot's trajectory error by 50% to 60% compared to using ajoystick to navigate to the desired point. Thus, the researchers concluded that the design of a control system greatly affects the robot navigation in achieving the desired trajectory. Considering the nonsystematic errors, a calibration based on the hardware structure design specifically on the caster wheel is recommended. © 2023 IEEE.

Infrastructures for Virtual Volunteering at Online Music Festivals

Volunteering benefits recipients, volunteers, communities, and society, while digital technologies establish new opportunities for virtual volunteering. We describe how volunteers transitioned the UK's long-established Oxjam grassroots music festival online in response to the COVID pandemic, delivering a local pilot before scaling up nationwide. We adopt an infrastructural perspective to reveal how two teams of volunteers defined a flexible festival format, knitted together diverse technologies into a technical platform, and operated this to deliver the festival. We highlight the need for teams of volunteers to orchestrate both audience and performer trajectories through festivals. We argue for deliberately designing in volunteer labour rather than automating it out by translating traditional roles online while defining new digital ones. We propose to make these roles rewarding through a more social volunteer experience, including privileged backstage access. We highlight the challenges of using social media for such events, including complying with algorithmic policing of rights. © 2023 Owner/Author.

Heterogeneous Mental Health Responses to the COVID-19 Pandemic in Germany: An Examination of Long-Term Trajectories, Risk Factors, and Vulnerable Groups.

Abundant studies have examined mental health in the early periods of the COVID-19 pandemic. However, empirical work examining the mental health impact of the pandemic's subsequent phases remains limited. In the present study, we investigated how mental vulnerability and resilience evolved over the various phases of the pandemic in 2020 and 2021 in Germany. Data were collected (n = 3522) across seven measurement occasions using validated and self-generated measures of vulnerability and resilience. We found evidence for an immediate increase in vulnerability during the first lockdown in Germany, a trend towards recovery when lockdown measures were eased, and an increase in vulnerability with each passing month of the second lockdown. Four different latent trajectories of resilience-vulnerability emerged, with the majority of participants displaying a rather resilient trajectory, but nearly 30% of the sample fell into the more vulnerable groups. Females, younger individuals, those with a history of psychiatric disorders, lower income groups, and those with high trait vulnerability and low trait social belonging were more likely to exhibit trajectories associated with poorer mental well-being. Our findings indicate that resilience-vulnerability responses in Germany during the COVID-19 pandemic may have been more complex than previously thought, identifying risk groups that could benefit from greater support.

Cross-border mobility of migrant households under COVID-19 in Argentina

The main objective is to analyze the links between Bolivian migrant households residing in Villa 20 of the City of Buenos Aires (Argentina) with their country of origin. Specifically, to investigate the characteristics of multi-local practices and the impact of border closures in the global context of the COVID-19 pandemic. To carry out this work, a multi-method methodological strategy was used that combines qualitative and quantitative procedures. Among the main results, the practice of plurilocality stands out as part of family reproduction strategies on a scale that exceeds the limits of the neighborhood. The government measure to close borders in the face of the pandemic generated a decrease in this type of cross-border mobility, but informally increased others.

Reflections on the strategies deployed of pedagogical continuity throughout the Covid-19 pandemic and its influence on the academic trajectories of FaHCE- UNLP sociology students

In this article we intend to analyze the experience of going through Sociology studies in the Faculty of Humanities and Educational Sciences in the context of the Covid-19 pandemic. In Particular, we will describe the academic -institutional strategies deployed in the face of the challenge of ensuring pedagogical continuity, such as adapting the regulations regarding promotion and teaching regimes;changes in the subjects teaching methods;review of programs and evaluation formats and other interventions implemented ad hoc. Without losing sight of the sudden and unprecedented nature that forced the implementation of the aforementioned strategies, we will explore how their influence was on the initial and final stages of the academic trajectories of Sociology students. To do this, we will analyze the information contained in the academic-administrative records available in the Faculty put in dialogue with documentary information and the perceptions of the institutional actors involved.

Trajectory Tracking Analysis of Fractional-Order Nonlinear PID Controller for Single Link Robotic Manipulator System

Increasing demand for automation is being observed especially during the recent scenarios like the Covid-19 pandemic, wherein direct contact of the healthcare workers with the patients can be life-threatening. The use of robotic manipulators facilitates in minimizing such risky interactions and thereby providing a safe environment. In this research work, a single link robotic manipulator (SLRM) system is taken, which is a nonlinear multi–input–multi–output system. In order to address the limitations like heavy object movements, uncontrolled oscillations in positional movement, and improper link variations, an adaptive fractional-order nonlinear proportional, integral, and derivative (FONPID) controller has been suggested. This aids in the effective trajectory tracking of the performance of the SLRM system under step input response. Further, by tuning the controller gains using genetic algorithm optimization (GA) based on the minimum objective function (JIAE ) of the integral of absolute error (IAE) index, the suggested controller has been made more robust for trajectory tracking performance. Finally, the comparative analysis of the simulation results of proportional & integral (PI), proportional, integral, & derivative (PID), fractional-order proportional, integral, & derivative (FOPID), and the suggested FONPID controllers validated that the FONPID controller has performed better in terms of minimum JIAE and lower oscillation amplitude in trajectory tracking of positional movement of SLRM system. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

COVID-19 after two years: trajectories of different components of mental health in the Spanish population.

AIMS: Our study aimed to (1) identify trajectories on different mental health components during a two-year follow-up of the COVID-19 pandemic and contextualise them according to pandemic periods; (2) investigate the associations between mental health trajectories and several exposures, and determine whether there were differences among the different mental health outcomes regarding these associations. METHODS: We included 5535 healthy individuals, aged 40-65 years old, from the Barcelona Brain Health Initiative (BBHI). Growth mixture models (GMM) were fitted to classify individuals into different trajectories for three mental health-related outcomes (psychological distress, personal growth and loneliness). Moreover, we fitted a multinomial regression model for each outcome considering class membership as the independent variable to assess the association with the predictors. RESULTS: For the outcomes studied we identified three latent trajectories, differentiating two major trends, a large proportion of participants was classified into 'resilient' trajectories, and a smaller proportion into 'chronic-worsening' trajectories. For the former, we observed a lower susceptibility to the changes, whereas, for the latter, we noticed greater heterogeneity and susceptibility to different periods of the pandemic. From the multinomial regression models, we found global and cognitive health, and coping strategies as common protective factors among the studied mental health components. Nevertheless, some differences were found regarding the risk factors. Living alone was only significant for those classified into 'chronic' trajectories of loneliness, but not for the other outcomes. Similarly, secondary or higher education was only a risk factor for the 'worsening' trajectory of personal growth. Finally, smoking and sleeping problems were risk factors which were associated with the 'chronic' trajectory of psychological distress. CONCLUSIONS: Our results support heterogeneity in reactions to the pandemic and the need to study different mental health-related components over a longer follow-up period, as each one evolves differently depending on the pandemic period. In addition, the understanding of modifiable protective and risk factors associated with these trajectories would allow the characterisation of these segments of the population to create targeted interventions.

Implicit intertemporal trajectories in cognitive representations of the self and nation.

Individual selves and the collectives to which people belong can be mentally represented as following intertemporal trajectories-progress, decline, or stasis. These studies examined the relation between intertemporal trajectories for the self and nation in American and British samples collected at the beginning and end of major COVID-19 restrictions. Implicit temporal trajectories can be inferred from asymmetries in the cognitive availability of positive and negative events across different mentally represented temporal periods (e.g., memory for the past and the imagined future). At the beginning of COVID-19 restrictions, both personal and collective temporal thought demonstrated implicit temporal trajectories of decline, in which future thought was less positive than memory. The usually reliable positivity biases in personal temporal thought may be reversable by major public events. This implicit trajectory of decline attenuated in personal temporal thought after the lifting of COVID-19 restrictions. However, collective temporal thought demonstrated a pervasive negativity bias across temporal domains at both data collection points, with the collective future more strongly negative than collective memory. Explicit beliefs concerning collective progress, decline, and hope for the national future corresponded to asymmetries in the cognitive availability of positive and negative events within collective temporal thought.

Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases

Digital contact tracing is an effective solution to prevent such a pandemic, but the low adoption rate of a required mobile app hinders its effectiveness. A large collection of cellular trajectories from mobile subscribers can be an out-of-the-box solution that is free from the low adoption issue, but has been overlooked due to its low spatial resolution. In this paper, to increase the resolution of this cellular trajectory, we present a new problem that estimates the user's visited places at the point-of-interest(POI) level, which we call POI-level cellular trajectory reconstruction. We propose a novel algorithm, Pincette, that accomplishes more accurate POI reconstruction by leveraging various external data such as road networks and POI contexts. Specifically, Pincette comprises multi-view feature extraction and GCN-LSTM-based POI estimation. In the multi-view feature extraction, Pincette extracts three complementary features from three views: efficiency, periodicity, and popularity. In the GCN-LSTM-based POI estimation, these three views are seamlessly integrated, where spatio-temporal periodic patterns are captured by graph convolutional networks (GCNs) and an LSTM. With extensive experiments on two real data collections of two cities, we show that Pincette outperforms four POI estimation baselines by up to 21.20%. We believe that our work sheds light on the use of cellular trajectories for digital contact tracing. We release the source code at https://github.com/kaist-dmlab/Pincette. © 2022 IEEE.

Covid-19 and children's social development: Insights from the life-course perspective

In this chapter, the authors focus on disruptions to children's lives at home and at school (including early childhood care and education programs [ECCE] and primary schooling) as critical settings for healthy development. The Covid-19 pandemic has upended children's lives in myriad ways, including disruptions in the family system due to illness or death, financial instability tied to job loss, and educational disruptions as a result of closures of child care facilities and schools. In considering how the Covid-19 pandemic is shaping children's social development, the authors attend to how interactions with others and socialization processes within families and schools may buffer or exacerbate the pandemic's negative impact. Developmental scientists are well positioned to research how macro-level shocks such as the coronavirus pandemic affect children's developmental trajectories, and the life-course perspective can guide and inform that investigation. © 2022 John Wiley & Sons Ltd.

A systemic analysis of the technological trajectory at company level based on patent data: The case of Sanofi's vaccine technology

Whereas most of technological trajectory research in evolutionary economics focuses on the sectoral level, our objective is to propose an analysis at the scale of the company. We are studying the leading pharmaceutical company Sanofi and focusing on the development of its vaccine technologies, a very topical issue in the Covid-19 context. What are the characteristics of Sanofi's vaccine technology trajectory and how can they explain the company's position in the Covid-19 crisis, i.e. its ability (or not) to innovate and respond to social demand for a vaccine? We contribute to technological trajectory literature by integrating a systemic dimension of the links between source and destination technology. Our ‘Knowledge Capital Approach' is based on patent citation data and network analysis. It has allowed us to identify the trajectory of Sanofi's vaccine technical system and to show its central position in its knowledge capital, where the technologies mastered by the company converge. These results can be viewed as paradoxical when considering Sanofi's lag in the Covid-19 race for a new vaccine. Our historical and qualitative approach adds to these findings by showing the role of strategic and institutional factors in explaining this situation. © 2023 Elsevier Ltd

A Temporal-Context-Aware Approach for Individual Human Mobility Inference Based on Sparse Trajectory Data

Inferring individual human mobility at a given time is not only beneficial for personalized location-based services, but also crucial for trajectory tracking of the confirmed cases in the context of the COVID-19 pandemic. However, individual generated trajectory data using mobile Apps is characterized by implicit feedback, which means only a few individual-location interactions can be observed. Existing studies based on such sparse trajectory data are not sufficient to infer individual's missing mobility in his/her historical trajectory and further predict individual's future mobility given a specific time. To address this concern, in this paper, we propose a temporal-context-aware approach that incorporates multiple factors to model the time sensitive individual-location interactions in a bottom-up way. Based on the idea of feature fusion, the driving effect of heterogeneous information such as time, space, category and sentiment on individual's mobile behavior is gradually strengthened, so that the temporal context when a check-in occurs can be accurately depicted. We leverage Bayesian Personalized Ranking (BPR) to optimize the model, where a novel negative sampling method is employed to alleviate data sparseness. Based on three real-world datasets, we evaluate the proposed approach with regard to two different tasks, namely, missing mobility inference and future mobility prediction at a given time. The empirical results encouragingly demonstrate that our approach outperforms multiple baselines in terms of two evaluation metrics, i.e., accuracy and average percentile rank. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.