International cooperation, production side emissions and environmental sustainability

PurposeRising greenhouse gases have contributed to global warming above the pre-industrial levels with detrimental effects on world climatic patterns. Extreme weather has inflicted drastic impacts, including loss of lives and livelihoods and economic disruption. However, collective international cooperation in adopting greenhouse gas emission mitigating measures can translate into long-run beneficial effects of improving environmental quality. This study examines if international environmental cooperation among the world's top ten polluters can reduce production side emissions.Design/methodology/approachThe panel estimation procedure was applied to data from ten top polluting countries from 2000 to 2019.FindingsThe results revealed a statistically significant inverse association between a nation's commitments to international environmental treaties and carbon dioxide emissions. Other than confirming the environmental Kuznets curve effect, industrial intensification, international trade and law rule are other strong correlations of carbon dioxide emissions.Research limitations/implicationsThe main policy implication is the urgency for the leaders of the world's top ten polluters to actively cooperate in developing and implementing new production-side carbon emission measures as well as the implementation and enforcement of existing international treaties to minimize further environmental damage and let the countries in the lower ranks of carbon emissions to enjoy the long-run benefits of the decarbonized world.Originality/valueThis study makes a new contribution to the environmental research literature by unfolding how collective global cooperation on environmental challenges can help reduce environmental damage in a coherent analytical framework.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0598

Take-off, turbulence and turnaround

PurposeThe aim of this paper is to explore the evolving nature of the work of cabin crew in a Scandinavian carrier in three eras, drawing on theories of gender and emotional labour.Design/methodology/approachThe paper draws on ethnographic data from fieldwork, interviews and documents.FindingsFrom being a feminized and temporary occupation for young, upper- and middle-class women in the 1970s, the occupation became a full-time job and with greater diversity of cabin crew. Today there are signs of the job becoming a precarious and temporary one of demanding and devalorized work in a polarized and class-divided labour market. Changing circumstances impact on the emotional labour requirement and terms and conditions at work.Research limitations/implicationsA limitation is that the research design was not initially longitudinal in the sense that the author does not have exactly the same kind of data from each era. The author has, however, been involved in this field for two decades, used multiple methods and interacted with different stakeholders and drew on a unique data material.Practical implicationsThe development in aviation is contributing to new discriminatory practices, driving employee conditions downwards and changing the job demands. This development will have practical consequences for the lives and families of cabin crew.Social implicationsThe analysis illustrates how work ‘constructs' workers and contributes in creating jobs that are not sustainable for the employees. Intensification of work, insecurity and tougher working conditions also challenge key features in the Nordic model such as proper pay, decent work and a life-long employment. Much indicates that the profession is again becoming a temporary one of demanding work with poor working conditions in a polarized and class-divided labour market.Originality/valueThe research contributes to the literature on emotional labour, gender and the evolving nature of the work of cabin crew. The unique data material, the longitudinal aspect of the research and the focus on a single network carrier are good in charting changes over time.

A continuous flow reactor for the flexible production of different formulations: CFD-aided design

The increasing need to improve the sustainability of industrial processes requires more flexible and intensified solutions. For this purpose, nowadays lots of efforts are made to switch from batch to continuous processes, the latter being able to ensure the same processing history to all fluid elements, with a consequent better control of the operating conditions and product quality. The present work aims at developing a continuous flow reactor for the production of several fine chemicals, including medical-surgical aids, but also other substances for specific industrial sectors. The plant is basically an inline reactor equipped with various static mixers and side inlets, and it is conceived to ensure on-site production. This is an important feature also in light of the recent COVID-19 pandemic, which asked for flexible and distributed production of chemicals. Numerical simulations based on computational fluid dynamics are employed to study the performance, in terms of pressure drops and degree of mixing, of different static mixers, that is, the Lightnin Inliner Series 50 and Ross low pressure drop (LPD), combining various elements of mixing and injections in different operating conditions in both laminar and turbulent regimes. The results highlighted how numerical simulations may represent a valid tool for supporting the detailed design of such flow reactors by allowing the evaluation of the optimal design solutions.

Developing the concept of leaveism: From presenteeism/absence to an emergent and expanding domain of employment?

The changing nature of employment has led to increased awareness of leaveism, a practice involving employees using allocated time off when unwell, taking work home, and picking up work when on annual leave. However, there are theoretical, methodological, and policy/practice‐related weaknesses, apparent in current understandings. The main article aim is to develop, theoretically, the emergent notion of leaveism, drawing on concepts related to work intensification (WI) and ideal worker norms (IWNs), concepts underpinned by reference to information communication technologies (ICTs), then exploring such ideas via an electronic questionnaire (n = 959), aimed at UK‐based employees performing leaveism. The main argument is leaveism is more than a lacuna between presenteeism and sickness absence;it is an unsustainable employer‐driven social phenomenon sitting at the intersection of WI, IWNs and ICTs. The findings have policy/practice implications for human resource management (HRM) professionals, trade unions and governments. Recommendations for future research including exploring leaveism in an international context, and in a Covid‐19 pandemic‐defined era.

Research Acceleration in Self-Driving Labs: Technological Roadmap toward Accelerated Materials and Molecular Discovery

The urgency of finding solutions to global energy, sustainability, and healthcare challenges has motivated rethinking of the conventional chemistry and material science workflows. Self-driving labs, emerged through integration of disruptive physical and digital technologies, including robotics, additive manufacturing, reaction miniaturization, and artificial intelligence, have the potential to accelerate the pace of materials and molecular discovery by 10–100X. Using autonomous robotic experimentation workflows, self-driving labs enable access to a larger part of the chemical universe and reduce the time-to-solution through an iterative hypothesis formulation, intelligent experiment selection, and automated testing. By providing a data-centric ion to the accelerated discovery cycle, in this perspective article, the required hardware and software technological infrastructure to unlock the true potential of self-driving labs is discussed. In particular, process intensification as an accelerator mechanism for reaction modules of self-driving labs and digitalization strategies to further accelerate the discovery cycle in chemical and materials sciences are discussed.

CIDC-Net: Chest-X Ray Image based Disease Classification Network using Deep Learning

Recently, COVID-19 is spreading rapidly and fast detection of COVID-19 can save millions of lives. Further, the COVID-19 can be detected easily from chest x ray (CXR) images using artificial intelligence methods. However, the performance of these application and methods are reduced due to noises presented in the CXR images, which degrading the performance of overall systems. Therefore, this article is focused on implementation of an innovative method for quickly processing CXR images of low quality, which enhances the contrast using fuzzy logic. This method makes use of tuned fuzzy intensification operators and is intended to speed up the processing time. Therefore, this work is focused on implementation of CXR image-based disease classification network (CIDC-Net) for identification of COVID-19 and pneumonia related 21 diseases. The CIDC-Net utilizes the deep learning convolutional neural network (CNN) model for training and testing. Finally, the simulations revealed that the proposed CIDC-Net resulted in superior performance as compared to existing models. © 2022 IEEE.

Teachers' work in the context of COVID-19

This chapter considers teachers' work in the context of COVID-19. Drawing from a longitudinal study of US teachers' work during the pandemic, and situated in related research within and across national contexts, it focuses attention on three areas: teachers' working conditions, the pedagogical work of teaching, and the relational work of education. Findings indicate the pandemic intensified work, disrupted pedagogical and relational norms, and interrupted—at least temporarily—technocratic control of teachers' work. Implications for the future and sustainability of the teacher workforce are considered. © 2023 Elsevier Ltd. All rights reserved.

Medical Image Contrast Enhancement using Tuned Fuzzy Logic Intensification for COVID-19 Detection Applications

Recently, COVID-19 is spreading rapidly and fast detection of COVID-19 can save millions of lives. Further, the COVID-19 can be detected easily from computed tomography (CT) images using artificial intelligence methods. However, the performance of these application and methods are reduced due to noises presented in the CT images, which degrading the performance of overall systems. Therefore, this article is focused on implementation of an innovative method for quickly processing CT images of low quality, which enhances the contrast using fuzzy logic. This method makes use of tuned fuzzy intensification operators and is intended to speed up the processing time. Extensive experiments were carried out to test the processing capacity of the method that was proposed, and the results obtained demonstrated that it was capable of filtering a variety of images that had become degraded. © 2022 IEEE.

Real-life experience of the efficacy, safety and pharmacokinetic data of switching from intravenous to subcutaneous infliximab in inactive inflammatory bowel disease patients. Results from the ENEIDA registry

Background: Recently, a subcutaneous formulation of biosimilar infliximab (CT-P13) (SC-IFX) has been approved for inflammatory bowel disease (IBD). The aims of this study were to evaluate efficacy, safety, pharmacokinetics and patient experience following a switching to SC-IFX in patients who are in clinical remission on IV-IFX maintenance treatment. Method(s): Multicentre, descriptive, and observational study including Crohn's disease (CD) and ulcerative colitis (UC) patients who were going to be changed from IV-IFX to SC-IFX on the ENEIDA registry (a large, prospectively maintained database of the Spanish Working Group in IBD-GETECCU). All patients were on clinical and biological remission at least 24 weeks before changing. Demographic and disease data, clinical activity (Harvey-Bradshaw index for CD and mayo index for UC), analytical data (C reactive protein (CRP) and fecal calprotectin (FC), as well as trough levels were collected at baseline, at 12 and 24 weeks. Result(s): One hundred and fifty-five patients were included: 54 UC (35%) and 91 (65%) CD;44% women and 56% men;age 45.5 years (32-55). IV-IFX was mainly administered due to active disease (72%) and perianal disease (7%) and during 32 months [range 14-56]. Preswitch, 78 (50.3%) were on 8-weekly dosing of IV-IFX, 77 (49.7%) were with intensification dose and the half (50.3%) were on concomitant immunomodulatory therapy. SC-IFX was mainly switching by COVID-19 pandemic (60%), to increase through levels (15%) or patient request (25%). The majority of patients (140, 90%) remained with standard dose, 8 (5%) required dose intensification (120 mg weekly in 4 and 240 mg every 2 weeks in 4) and 7 (4.5%) had successful de-escalation (120 mg every 3 weeks in 4 and 120 mg every 4 weeks in 3). Clinical indices, CRP levels and FC remained unchanged (Figure). Median SC-IFX levels significantly increased from baseline of 4.5 mug/ dl [range 2.6-9.2] to 14 mug/dl [range 9.5-16.2] at week 12 and 13.2 mug/ dl [range 10.4-19.7] at week 24. No factors (immunossupresor, body mass index, disease location) were associated with the increase of IFX trough levels. During 24 weeks of follow-up, 16 of the 78 patients (20.5%) stopped immunosuppressant treatment. The adverse events were recorded in 9 patients (5.8%), 4 (2.6%) were hospitalized and 4 (2.6%) had surgery (one of them for perianal disease). Nine patients (5.8%) stopped SC-IFX (1 primary failure, 2 loss of response, 4 adverse events, 1 voluntarily, and 1 surgery). Conclusion(s): The switch from IV to SC IFX maintains clinical remission safely in IBD patients, offers higher drug levels and a good patient acceptance. However, the significance of higher drug levels with SC-IFX requires further exploration.

Feedstock planning and optimization of a sustainable distributed configuration biorefinery for biojet fuel production via ATJ process

In recent years, the production and consumption of fossil jet fuel have increased as a consequence of a rise in the number of passengers and goods transported by air. Despite the low demand caused by the coronavirus 2019 pandemic, an increase in the services offered by the sector is expected again. In an economic context still dependent on scarce oil, this represents a problem. There is also a problem arising from the fuel's environmental impact throughout its life cycle. Given this, a promising solution is the use of biojet fuel as renewable aviation fuel. In a circular economy framework, the use of lignocellulosic biomass in the form of sugar-rich crop residues allows the production of alcohols necessary to obtain biojet fuel. The tools provided by process intensification also make it possible to design a sustainable process with low environmental impact and capable of achieving energy savings. The goal of this work was to design an intensified process to produce biojet fuel from Mexican lignocellulosic biomass, with alcohols as intermediates. The process was modeled following a sequence of pretreatment/hydrolysis/fermentation/purification for the biomass-ethanol process, and dehydration/oligomerization/hydrogenation/distillation for ethanol-biojet process under the concept of distributed configuration. To obtain a cleaner, greener, and cheaper process, the purification zone of ethanol was intensified by employing a vapor side stream distillation column and a dividing wall column. Once designed, the entire process was optimized by employing the stochastic method of differential evolution with a tabu list to minimize the total annual cost and with the Eco-indicator-99 to evaluate the sustainability of the process. The results show that savings of 5.56% and a reduction of 1.72% in Eco-indicator-99 were achieved with a vapor side stream column in comparison with conventional distillation. On the other hand, with a dividing wall column, savings of 5.02% and reductions of 2.92% in Eco-indicator-99 were achieved. This process is capable of meeting a demand greater than 266 million liters of biojet fuel per year. However, the calculated sale price indicates that this biojet fuel still does not compete with conventional jet fuel produced in Mexico. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd.

Process Intensification and Increased Safety for the On-Demand Continuous Flow Synthesis of Dithiothreitol, a Crucial Component in Polymerase Chain Reaction Testing Kits

The importance of rapid access to diagnostics tools in the identification of pathogens-including their crucial component, bioreagents-was recently underscored in the COVID-19 pandemic. The currently adopted synthesis of dithiothreitol (DTT) involves four steps in batch with long reaction times and which generates a highly carcinogenic and mutagenic bis-epoxide intermediate. In this work, we have developed an intensified telescoped three-step continuous flow synthesis of DTT involving a base-mediated ring closure epoxidation, a nucleophilic epoxide opening with thioacetic acid, and an acid-mediated deacetylation. One of the key features is that the first two steps are conducted in a telescoped continuous flow fashion, allowing generation and consumption of the hazardous intermediate in situ, suppressing the need for its isolation, and improving the overall safety of the synthesis. The process is completed by an acid-catalyzed deacetylation and a subsequent recrystallization to afford the desired DTT. Flow chemistry allows here to intensify the process by using high temperatures and high pressures while minimizing the number of unit operations and improving the overall safety of the process. Our protocol permits the on-demand production of DTT in case of future outbreaks.

Working during the COVID-19 pandemic: Demands, resources, and mental wellbeing.

The aim of this study was to investigate the relationship between working conditions at the start of the COVID-19 pandemic (spring 2020) and employees' mental wellbeing. According to the Job Demands-Resources (JD-R) model, work intensification, increased difficulty in accomplishing work tasks, heightened risk of infection by COVID-19, and increasingly working from home may detrimentally relate to irritation. However, personal and job resources (e.g., occupational self-efficacy, social support) may buffer. Data from 680 employees from four European countries were analyzed by means of path analyses and polynomial regression. Work intensification was significantly positively associated with cognitive and affective irritation; other job demands were not. However, working from home prior to as well as during the pandemic was related to higher cognitive irritation. None of the moderators was of meaningful significance. Reducing work intensification as well as enduring home office seems to be crucial for interventions.

Process Intensification and Increased Safety for the On-Demand Continuous Flow Synthesis of Dithiothreitol, a Crucial Component in Polymerase Chain Reaction Testing Kits

The importance of rapid access to diagnostics tools in the identification of pathogens-including their crucial component, bioreagents-was recently underscored in the COVID-19 pandemic. The currently adopted synthesis of dithiothreitol (DTT) involves four steps in batch with long reaction times and which generates a highly carcinogenic and mutagenic bis-epoxide intermediate. In this work, we have developed an intensified telescoped three-step continuous flow synthesis of DTT involving a base-mediated ring closure epoxidation, a nucleophilic epoxide opening with thioacetic acid, and an acid-mediated deacetylation. One of the key features is that the first two steps are conducted in a telescoped continuous flow fashion, allowing generation and consumption of the hazardous intermediate in situ, suppressing the need for its isolation, and improving the overall safety of the synthesis. The process is completed by an acid-catalyzed deacetylation and a subsequent recrystallization to afford the desired DTT. Flow chemistry allows here to intensify the process by using high temperatures and high pressures while minimizing the number of unit operations and improving the overall safety of the process. Our protocol permits the on-demand production of DTT in case of future outbreaks. © 2023 American Chemical Society.

Scaling suitable, sustainable technologies for smallholder farmers in Cambodia

While several agricultural technologies have been successfully piloted on research stations or with small numbers of early adopters in Cambodia, questions remain on how to extend these technologies to large numbers of resource-poor smallholders. The objectives of the Scaling Suitable Sustainable Technologies Project (S3-Cambodia) are to examine pathways for scaling sustainable intensification (SI) technologies to smallholder farmers by promoting vegetable grafting, post-rice secondary cropping, and wild food plant gardens. S3-Cambodia is scaling these technologies through two pathways: the private sector and youth engagement. The private sector pathway involves strengthening the participation of farmers, women's groups, cooperatives, and community organizations in local and regional value chains for SI-produced horticulture crops. The youth engagement pathway involves piloting "green labs” in secondary schools to provide students with experiential learning and training on these SI technologies, allowing school communities to evaluate new practices before applying them at the field- or farm-scale. Early results indicate that both pathways are a viable approach to scaling agricultural technologies to new users. To date, 345 individuals have received training on SI technologies and three nurseries have been supported to expand their SI production. Market survey data from farmers and retailers suggest a significant market demand for grafted tomato plants during the wet season and traditional wild food plants (WFP) year-round. Household survey and interview data from high school parents, principals, and teachers point to the likelihood of agricultural knowledge transfer from student "green labs” to school communities. While COVID-19 has disrupted certain scaling efforts, initial project activities provide a research and evidence base to support the next steps in the long term scaling up of SI among rice-based farming systems throughout Cambodia and the wider Southeast Asia region. © 2022 International Society for Horticultural Science. All rights reserved.

Smallholders and small-scale agriculture: Mapping and visualization of knowledge domains and research trends

In research literature, the terms "small-scale-agriculture" and "smallholder-agriculture" (farming) cannot be clearly distinguished and are frequently used synonymously. Taking terminology of both versions, we examine relationships between textual and bibliographic elements, identify clusters of studies and research accents, as well as developments in time. Using information science methods (big data, bibliometrics/scientometrics, visualization program Vosviewer) in the citation database Scopus, we design Boolean search statement/query (emphasis on proximity operators), analyse terms in titles and s of articles, evaluate author networks (countries, co-authorship), keywords, and links between journals. Authors from developed and developing countries collaborate widely, with the US having the most co-authored articles, Germany having the most diverse current network, and Kenya being the strongest contributor among developing countries. Most articles are published by authors from Africa. There are also two smaller clusters representing Asia and the Americas. Three clusters of research priorities are evident: 1) crop production (current focus: crop yield), 2) livestock production (current focus: diseases), and 3) environmental issues, vulnerability to climate change, sustainability, and socio-economic themes. Future trends (hot topics and research fronts) will increasingly focus on adaptation strategies, food security, gender (women), or human health (at the time of submission, there were already dozens of papers on Covid 19 and smallholder farmers). Many topics that used to be most covered by Agricultural and Biological Sciences (Scopus Subject Area) are now increasingly covered in Social Sciences journals, becoming a complex research field on its own, which should translate into support and funding for such studies.

A continuous flow reactor for the flexible production of different formulations

The increasing need to improve the sustainability of industrial processes requires more flexible and intensified solutions. For this purpose, nowadays lots of efforts are made to switch from batch to continuous processes, the latter being able to ensure the same processing history to all fluid elements, with a consequent better control of the operating conditions and product quality. The present work aims at developing a continuous flow reactor for the production of several fine chemicals, including medical-surgical aids, but also other substances for specific industrial sectors. The plant is basically an inline reactor equipped with various static mixers and side inlets, and it is conceived to ensure on-site production. This is an important feature also in light of the recent COVID-19 pandemic, which asked for flexible and distributed production of chemicals. Numerical simulations based on computational fluid dynamics are employed to study the performance, in terms of pressure drops and degree of mixing, of different static mixers, that is, the Lightnin Inliner Series 50 and Ross low pressure drop (LPD), combining various elements of mixing and injections in different operating conditions in both laminar and turbulent regimes. The results highlighted how numerical simulations may represent a valid tool for supporting the detailed design of such flow reactors by allowing the evaluation of the optimal design solutions.

Improved air quality leads to enhanced vegetation growth during the COVID-19 lockdown in India.

The direct effect of pandemic induced lockdown (LD) on environment is widely explored, but its secondary impacts remain largely unexplored. Therefore, we assess the response of surface greenness and photosynthetic activity to the LD-induced improvement of air quality in India. Our analysis reveals a significant improvement in air quality marked by reduced levels of aerosols (AOD, -19.27%) and Particulate Matter (PM 2.5, -23%) during LD (2020)from pre-LD (March-September months for the period 2017-2019). The vegetation exhibits a positive response, reflected by the increase in surface greenness [Enhanced Vegetation Index (EVI, +10.4%)] and photosynthetic activity [Solar Induced Fluorescence (SiF, +11%)], during LD from pre-LD that coincides with two major agricultural seasons of India; Zaid (March-May) and Kharif (June-September). In addition, the croplands show a higher response [two-fold in EVI (14.45%) and four-fold in SiF (17.7%)] than that of forests. The prolonged growing period (phenology) and high rate of photosynthesis (intensification) led to the enhanced greening during LD owing to the reduced atmospheric pollution. This study, therefore, provides new insights into the response of vegetation to the improved air quality, which would give ideas to counter the challenges of food security in the context of climate pollution, and combat global warming by more greening.

Feedstock planning and optimization of a sustainable distributed configuration biorefinery for biojet fuel production via ATJ process

In recent years, the production and consumption of fossil jet fuel have increased as a consequence of a rise in the number of passengers and goods transported by air. Despite the low demand caused by the coronavirus 2019 pandemic, an increase in the services offered by the sector is expected again. In an economic context still dependent on scarce oil, this represents a problem. There is also a problem arising from the fuel's environmental impact throughout its life cycle. Given this, a promising solution is the use of biojet fuel as renewable aviation fuel. In a circular economy framework, the use of lignocellulosic biomass in the form of sugar-rich crop residues allows the production of alcohols necessary to obtain biojet fuel. The tools provided by process intensification also make it possible to design a sustainable process with low environmental impact and capable of achieving energy savings. The goal of this work was to design an intensified process to produce biojet fuel from Mexican lignocellulosic biomass, with alcohols as intermediates. The process was modeled following a sequence of pretreatment/hydrolysis/fermentation/purification for the biomass-ethanol process, and dehydration/oligomerization/hydrogenation/distillation for ethanol-biojet process under the concept of distributed configuration. To obtain a cleaner, greener, and cheaper process, the purification zone of ethanol was intensified by employing a vapor side stream distillation column and a dividing wall column. Once designed, the entire process was optimized by employing the stochastic method of differential evolution with a tabu list to minimize the total annual cost and with the Eco-indicator-99 to evaluate the sustainability of the process. The results show that savings of 5.56% and a reduction of 1.72% in Eco-indicator-99 were achieved with a vapor side stream column in comparison with conventional distillation. On the other hand, with a dividing wall column, savings of 5.02% and reductions of 2.92% in Eco-indicator-99 were achieved. This process is capable of meeting a demand greater than 266 million liters of biojet fuel per year. However, the calculated sale price indicates that this biojet fuel still does not compete with conventional jet fuel produced in Mexico. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd.

Teachers' work in the context of COVID-19

This chapter considers teachers' work in the context of COVID-19. Drawing from a longitudinal study of US teachers' work during the pandemic, and situated in related research within and across national contexts, it focuses attention on three areas: teachers' working conditions, the pedagogical work of teaching, and the relational work of education. Findings indicate the pandemic intensified work, disrupted pedagogical and relational norms, and interrupted—at least temporarily—technocratic control of teachers' work. Implications for the future and sustainability of the teacher workforce are considered.

How Psychosocial Safety Climate Helped Alleviate Work Intensification Effects on Presenteeism during the COVID-19 Crisis? A Moderated Mediation Model.

Healthcare sector organizations have long been facing the issue of productivity loss due to presenteeism which is affected by psychosocial safety climate (PSC) and work intensification. Presenteeism has visibly increased among nurses during COVID-19 pandemic period. Grounded in COR theory and sensemaking theory, the current study aimed to examine the role PSC plays as driver or moderator to reduce presenteeism by lessening work intensification over time and the impact of work intensification over time on presenteeism during the COVID-19 pandemic. Adopting a time-lagged research design, this study gathered data from randomly selected registered nurses, practicing in Québec, Canada in two phases, i.e., 800 at Time 1 and 344 at Time 2 through email surveys. The study results showed that (1) PSC reduces presenteeism over time by reducing work intensification at time 1; (2) PSC moderates the relationship between work intensification at time 1 and work intensification at time 2; and (3) PSC as moderator also lessens the detrimental effect of work intensification at time 2 on presenteeism at time 2. Presenteeism among nurses affects their health and psychological well-being. We find that PSC is likely an effective organizational tool particularly in crises situations, by providing an organizational mechanism to assist nurses cope (through a resource caravan, management support) with managing intensified work.