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Purpose Sisu refers to extraordinary internal strength in the face of adversities. Although originally a Finnish concept, it can be a universally useful concept for studying managerial well-being and performance during difficult or even emergency periods. Previous research on sisu categorizes it into beneficial and harmful sisu and suggests that these two dimensions of sisu are useful when studying determination and resoluteness in crisis situations. This study applies the concept of sisu to examine managers’ well-being in times of crisis. Methodology Interviews were conducted with 15 managers in the hotel, manufacturing and retail industries in Finland. Results The beneficial effects of sisu seem to dissolve when it is used too often. The study also highlighted the paradoxical tension involved in the decision to stop or continue actions in a difficult situation and contributes to sisu research by discussing collective sisu. Conclusion The results of this study suggest that beneficial sisu helps to overcome adversity, while harmful sisu causes distortions in thinking that are detrimental to managers. Understanding one’s own tendency towards beneficial or harmful sisu in difficult situations can help in managerial work. Collective sisu is an excellent resource for overcoming difficult situations in workplaces.

Abstract Martian CO2 ice clouds are intriguing features, representing a rare occurrence of atmospheric condensation of a major component. These clouds play a crucial role due to their radiative properties, interactions with surface, and coupling with microphysical cycles of aerosols. Observations have been limited, prompting modeling studies to understand their formation and dynamics. Here, we present the first high‐resolution 3D simulations of CO2 ice clouds using a Large‐Eddy Simulation (LES) model incorporating CO2 microphysics. We investigate cloud formation in idealized temperature perturbations in the polar night. A reference simulation with a −2K perturbation demonstrates that the formed CO2 ice cloud possesses a convective potential, leading to its ascent in the troposphere. We determine the timescales and orders of magnitude of various phenomena involved in the lifecycle of a CO2 ice cloud. Sensitivity tests show that convection can be inhibited or intensified by the thermodynamic and microphysical conditions of the simulated environment.

Abstract The Venusian atmosphere hosts a 10 km deep convective layer that has been studied by various spacecrafts. However, the impact of the strong vertical mixing on the chemistry of this region is still unknown. This study presents the first realistic coupling between resolved small‐scale turbulence and a chemical network. The resulting vertical mixing is different for each species: those with longer chemical timescales will tend to be well‐mixed. Vertical eddy diffusion due to resolved convection motions was estimated, ranging from 102 to 104 m2/s for the 48–55 km convective layer, several orders of magnitude above the typically used value. In the 48–55 km convective layer, the impact of the small‐scale turbulence on the cloud layer boundaries was between 200 m and 1 km. The impact of turbulence on cloud chemistry is consistent with Venus Express/Visible and Infrared Thermal Imaging Spectrometer observations. The observability at the cloud‐top of small‐scale turbulence by VenSpec‐U spectrometer would be challenging.

Choosing a romantic partner for a long-term relationship is one of the most significant decisions one makes during our lifetime. We have inherited an evolved framework from our ancestors that contains traits, as well as preferences for these traits, to solve this task. We use this framework consciously or unconsciously to choose prospective romantic partners. Following this reasoning, sexual strategy theory (SST) has been proposed for predicting which traits women and men prefer in a romantic partner for a long-term relationship. These predictions were empirically tested in the current work based on a sample of 1193 Norwegian adolescents who responded to an online questionnaire. We implemented the study hypotheses, derived from SST, in three statistical models, which were tested using structural equation modeling. In brief, our results revealed that women only valued resources more than men when we controlled for materialistic traits. This finding contrasts with SST’s prediction that women would value resources more than men, independently of other variables. As for the second prediction that men value physical attractiveness more than women, this pattern existed universally and was independent of, for instance, how egalitarian they were. We thus conclude that SST was only partially supported and that variables that may reflect societal circumstances (e.g., wealth, gender, equality) should be considered when examining the mate choice behavior of women and men. The theoretical and practical implications of the study are also discussed.

Background: Machine learning is becoming a common tool in monitoring emotion. However, methodological studies of the processing pipeline are scarce, especially ones using subjective appraisals as ground truth. New method: A novel protocol was used to induce cognitive load and physical discomfort, and emotional dimensions (arousal, valence, and dominance) were reported after each task. The performance of five common ML models with a versatile set of features (physiological features, task performance data, and personality trait) was compared in binary classification of subjectively assessed emotions. Results: The psychophysiological responses proved the protocol was successful in changing the mental state from baseline, also the cognitive and physical tasks were different. The optimization and performance of ML models used for emotion detection were evaluated. Additionally, methods to account for imbalanced classes were applied and shown to improve the classification performance. Comparison with existing method(s): Classification of human emotional states often assumes the states are determined by the stimuli. However, individual appraisals vary. None of the past studies have classified subjective emotional dimensions with a set of features including biosignals, personality and behavior. Conclusion: Our data represent a typical setup in affective computing utilizing psychophysiological monitoring: N is low compared to number of features, inter-individual variability is high, and class imbalance cannot be avoided. Our observations are a) if possible, include features representing physiology, behavior and personality, b) use simple models and limited number of features to improve interpretability, c) address the possible imbalance, d) if the data size allows, use nested cross-validation.

This study investigates the construct of sisu, a Finnish attribute representing mental resilience and fortitude when confronted with difficult situations. By leveraging advanced analytical methods and explainable Artificial Intelligence, we gain insights into how sisu factors influence well-being, work efficiency, and overall health. We investigate how the beneficial aspects of sisu contribute significantly to mental and physical health, satisfaction, and professional accomplishments. Conversely, we analyze the harmful sisu and its adverse impacts on the same domains. Our findings, including intriguing trends related to age, educational level, emotional states, and gender, pave the way for developing tailored solutions and initiatives to nurture the beneficial aspects of sisu and curtail the damaging consequences of sisu within professional settings and personal welfare.

Purpose: Sisu refers to extraordinary internal strength in the face of adversities. Although originally a Finnish concept, it can be a universally useful concept for studying managerial well-being and performance during difficult or even emergency periods. Previous research on sisu categorizes it into beneficial and harmful sisu and suggests that these two dimensions of sisu are useful when studying determination and resoluteness in crisis situations. This study applies the concept of sisu to examine managers' well-being in times of crisis. Methodology: Interviews were conducted with 15 managers in the hotel, manufacturing and retail industries in Finland. Results: The beneficial effects of sisu seem to dissolve when it is used too often. The study also highlighted the paradoxical tension involved in the decision to stop or continue actions in a difficult situation and contributes to sisu research by discussing collective sisu. Conclusion: The results of this study suggest that beneficial sisu helps to overcome adversity, while harmful sisu causes distortions in thinking that are detrimental to managers. Understanding one's own tendency towards beneficial or harmful sisu in difficult situations can help in managerial work. Collective sisu is an excellent resource for overcoming difficult situations in workplaces. [ABSTRACT FROM AUTHOR]

Abstract Background Protected areas (PA) are central to biodiversity, but their efficiency is challenged by human-induced habitat loss and fragmentation. In the Fennoscandian boreal region, forestry with clearcutting is a threat to biodiversity causing the loss of mature forest elements and deterioration of ecological processes in forest landscapes, ultimately affecting PAs via declined structural connectivity. This paper aims to (1) determine PAs with high, red-listed species concentrations; (2) estimate the change in forest habitat around these PAs on different spatial scales; and (3) determine if forest management intensity is higher around biologically most valuable PAs. Occurrences of red-listed forest-dwelling species in Finland were used to identify PAs harbouring these species and to produce site-specific importance indices. CORINE landcover data was used as a baseline for the distribution of forests to assess the cover of clear-cuttings from 2001 to 2019 with the Global Forest Change (GFC) data set in three buffer areas around the PAs with occurrences of red-listed species. Results The largest proportion of clear-cuts occurred in 1 km and 10 km buffers around the PAs in the southern and middle boreal zones, being ca. 20%. This indicates that the forest habitat is degrading fast at regional and landscape levels. On the positive side, the change in forest cover was lower around the biologically most important PAs compared to other PAs with red-listed species. Conclusions Open and free satellite-data based assessments of the cover and change of forests provide reliable estimates about the rates at which mature and old-growth forests are being converted into young managed ones in Finland mainly via clear-cuts on different scales around PAs. The rate of clear-cuts was lowest in adjacent buffer areas next to the most species-rich PAs, which provides opportunities for biodiversity conservation efforts to be targeted to the remaining mature and old-growth forests found in the vicinity of these areas.

Berries are known to have disease preventive and anticancer properties. We studied whether supplementing a habitual diet rich in red meat with berries affects cancer biomarkers in a clinical trial with 43 healthy volunteers. We exposed Caco-2 and HCA-7 colon adenocarcinoma cells and HaCaT cells, representing non-cancerous epithelial tissue, in 2D and 3D cultures to faecal water extracted from stool samples collected at baseline and at the end of the 4-wk trial. Expression of markers from the Wnt/β-catenin and PI3K/AKT/mTOR pathways, the cell proliferation marker Ki67, and the apoptosis marker cleaved caspase-3 were detected by Western blotting and immunofluorescence staining methods. In addition, genotoxicity of faecal water and the concentration of N-nitroso compounds in the faeces were analysed. The diet supplemented with berries caused downregulation of β-catenin, PS6 as well as Ki67 signalling in the cells exposed to faecal water. Our results suggest that consuming berries as part of a habitual Western-type diet could lead to less cancerous colon metabolism and possibly lower the risk for colorectal cancer by modulating the central signalling pathways in cancer.

Protected areas (PAs) offer safe havens for threatened species, but their effectiveness is jeopardised due to climate change and habitat fragmentation in their surroundings. Species are forced into the unhospitable matrix in search of more favourable areas as climate conditions change, leading to negative effects on biodiversity. For red-listed forest species, the accelerating climate change can strengthen the negative effects of logging around PAs. In this work, we examine climate-change and land-use threats to biologically valuable PAs with red-listed species occurrences in Finland. Where the highest combined threats occur, do they coincide with accumulations of red-listed species, and how much do they vary between different boreal zones? This provides important knowledge for conservation planning in a managed matrix amid climate change. We use three spatial scales (100 m, 1 km, 10 km) to explore where the effects of clear-cutting have been the most intense during this millennium: right outside the PA border, exposing PAs to local-scale edge effects, or at landscape scales disrupting species movements due to degraded connectivity and increased fragmentation. For each PA, we also quantify how the January mean temperature (TJan), growing degree days (GDD5) and water balance (WAB) conditions are predicted to change by the end of the century under the RCP4.5 scenario. Additionally, for these variables, we estimate the velocity of the changes within valuable PAs. The proportion of forests which underwent clear-cutting was the highest in the more productive southern boreal zone and at the landscape scale of 10 km around the PAs. The combined threats of land use and climate change were evident, as there were positive correlations between logging levels around PAs with red-listed species and both the velocity values of GDD5 and TJan in the PAs. TJan is changing particularly fast in the northern boreal zone, where the coldest current climate conditions are projected to disappear by the end of the century. GDD5 in turn is changing fastest in the topographically flat southern boreal zone. GDD5 and TJan had generally a positive relationship with the magnitude of clear-cuts in a 10 km buffer zone. However, the direction of this relationship varied between the boreal zones. In climate-wise conservation planning for red-listed boreal forest species, multiple elements are needed. First and foremost, valuable sites for the red-listed species in the PA network should be identified and the climate change and land use-based threats to them measured. This information provides an elementary basis for additional threat analyses focusing on species habitat requirements and dispersal ecology. Together, this information can be used to assess the potential of different conservation measures to mitigate the combined climate-change and land-use risks, and ultimately to improve the conservation status of red-listed forest species.

Sisu is a Finnish cultural concept that denotes determination and resoluteness in the face of adversity. We propose that sisu will supplement the English-language based research on mental fortitude traits. Sisu has not been the focus of systematic research until very recently. We created a new questionnaire measuring sisu (the Sisu Scale), sought to validate the sisu construct and its sub-factor structure as postulated in a recent qualitative study. We investigated associations of sisu with other measures of mental fortitude and well-being. More generally we aimed to enrichen the cross-cultural understanding of human experience of overcoming adversity across life's challenges.We describe and validate a questionnaire that effectively measures both beneficial and harmful sisu, each comprising three sub-factors. Beneficial sisu was associated with other measures of fortitude, but less with personality dimensions. We also confirmed the existence of an independent harmful sisu factor. Beneficial sisu was associated with higher well-being and lower depressive symptoms, and harmful sisu with lower well-being and higher levels of general stress, work stress and depressive symptoms. Together the two factors were superior compared to pre-existing measures when predicting well-being-related variables. Results suggest that the new Sisu Scale we developed may provide a valuable addition to research on mental fortitude, resilience and their consequences for well-being.

We analyzed the participation of women scientists in 10 ESA (European Space Agency) Solar System missions over a period of 38 years. Being part of a spacecraft mission science team can be considered a proxy to measure the “success” in the field. Participation of women in PI (Principal Investigators) teams varied between 4 % and 25 %, with several missions with no women as PI. The percentage of female scientists as Co-I (Co-Investigators) is always less than 16 %. This number is lower than the percentage of women in the International Astronomical Union from all ESA's Member State (24 %), which can give us an indication of the percentage of women in the field. We encountered many difficulties to gather the data for this study. The list of team members were not always easily accessible. An additional difficulty was to determine the percentage of female scientists in planetary science in Europe. We would like to encourage the planetary community as a whole, as well as international organizations, universities and societies to continuously gather statistics over many years. Detailed statistics are only the first step to closely monitor the development of achievement gaps and initiate measures to tackle potential causes of inequity, leading to gender inequalities in STEM careers.

Background: Subclinical hypothyroidism has been associated with increased risk for depression, yet the findings remain controversial. It is possible that subclinical hypothyroidism is associated with some, but not all symptoms of depression. We examined symptom-specific associations between depression and subclinical hypothyroidism. Methods: Participants (N = 7683 adults) were from the National Health and Nutrition Examination Surveys of 2007–2008, 2009–2010, and 2011–2012 We included participants who had data on their thyroid profile and depressive symptoms (measured using Patient Health Questionnaire), and excluded those with overt hypothyroidism or hyperthyroidism, and those on thyroid hormone replacement therapy. Logistic regression with sampling weights was used to examine the association between subclinical hypothyroidism and depression symptoms. We also ran sensitivity analysis using different cut-off points for defining subclinical hypothyroidism. Results: Of all the participants, 208 (2.7%) had subclinical hypothyroidism and of them only six had depression. Subclinical hypothyroidism was not associated with depression (OR = 0.61, 95% CI 0.20–1.87) nor with the specific depression symptoms. Using lower criteria for subclinical hypothyroidism diagnosis resulted in similar findings. Conclusions: In a nationally representative sample of US adults, we observed no association between subclinical hypothyroidism and overall depression risk or any of the individual symptoms of depression.

The Venusian atmosphere hosts a 10 km deep convective layer that has been studied by various spacecrafts. However, the impact of the strong vertical mixing on the chemistry of this region is still unknown. This study presents the first realistic coupling between resolved small‐scale turbulence and a chemical network. The resulting vertical mixing is different for each species: those with longer chemical timescales will tend to be well‐mixed. Vertical eddy diffusion due to resolved convection motions was estimated, ranging from 102 to 104 m2/s for the 48–55 km convective layer, several orders of magnitude above the typically used value. In the 48–55 km convective layer, the impact of the small‐scale turbulence on the cloud layer boundaries was between 200 m and 1 km. The impact of turbulence on cloud chemistry is consistent with Venus Express/Visible and Infrared Thermal Imaging Spectrometer observations. The observability at the cloud‐top of small‐scale turbulence by VenSpec‐U spectrometer would be challenging. Plain Language Summary: Venus hosts a global sulfuric acid cloud layer between 45 and 70 km. A convective layer is present between roughly 50 and 60 km, with its variability in latitude and local time assessed by observation, with a thicker layer at high latitude and at night. One question that remains unclear is how this turbulence mixes momentum, heat, and chemical species. Especially, the impact of the strong vertical mixing on the chemistry of this region is still unknown. To investigate this topic, we use a convection‐resolving model coupled for the first time with a realistic chemical network. The resulting vertical mixing is different for each species: those with longer chemical timescales will tend to be well‐mixed. 1D and global circulation models use the so‐called vertical eddy diffusion approach to represent turbulent motion, quantified in our model and underestimated in chemistry models. The small‐scale turbulence in the cloud layer causes a variation in the altitude of the top and bottom boundaries of the cloud. Our model shows that the impact of turbulence on cloud chemistry corresponds well to what has been observed by satellites. In the future, the EnVision mission will be able to observe chemical species at the small turbulence scales. Key Points: Estimation for the first time of the spatial and temporal variability of chemical species due to vertical mixingQuantification of the vertical eddy diffusion coefficient, order of magnitude above typical used valuesCloud‐top altitudes change by 0.2–1 km due to vertical convective mixing and gravity waves [ABSTRACT FROM AUTHOR]

Martian CO2 ice clouds are intriguing features, representing a rare occurrence of atmospheric condensation of a major component. These clouds play a crucial role due to their radiative properties, interactions with surface, and coupling with microphysical cycles of aerosols. Observations have been limited, prompting modeling studies to understand their formation and dynamics. Here, we present the first high‐resolution 3D simulations of CO2 ice clouds using a Large‐Eddy Simulation (LES) model incorporating CO2 microphysics. We investigate cloud formation in idealized temperature perturbations in the polar night. A reference simulation with a −2K perturbation demonstrates that the formed CO2 ice cloud possesses a convective potential, leading to its ascent in the troposphere. We determine the timescales and orders of magnitude of various phenomena involved in the lifecycle of a CO2 ice cloud. Sensitivity tests show that convection can be inhibited or intensified by the thermodynamic and microphysical conditions of the simulated environment. Plain Language Summary: CO2 ice clouds have been observed in the Martian polar nights in the lower atmosphere. These clouds are extremely challenging to observe due to the lack of sunlight. However, they play a significant role in Mars' climate, especially through interactions with the surface and other atmospheric species. To study the formation processes of these clouds, we use a high‐resolution model. Even a relatively weak cooling can lead to the formation of a CO2 ice cloud with convective potential, enabling it to move vertically upward. We determine the characteristic times and altitudes of this phenomenon and investigate how they respond when atmospheric parameters, such as cooling temperature, the presence of extra dust, or horizontal winds are varied. Our findings show that some of these parameters can either inhibit or enhance convection development. Key Points: Coupling a convection model with a CO2 microphysics scheme can simulate the formation of convective CO2 ice clouds triggered by realistic perturbationsThese is a strong coupling between CO2 ice cloud convection and dust cycle in the troposphereThe convective process intensity depends strongly on the number of available condensation nuclei and the temperature of the perturbation [ABSTRACT FROM AUTHOR]

In JGR‐Planets, the peer review process is critical to ensuring that the published articles are based on sound scientific principles, follow state‐of‐the‐art techniques while acknowledging relevant prior results, and present exciting discoveries or novel understanding of the fundamental processes that affect solar system objects. JGR‐Planets covers a broad range of topics addressing every aspect of geoscience with the only requirement that the work addresses planetary processes. The wide breadth of topics published is reflected by our editorial team composed in 2023 of associate editors Adrian Brown, Jun Cui, Joel Davis, Leigh Fletcher, Matthias Grott, Ananya Mallik, Germán Martínez, Molly McCanta, Katarina Miljkovic, Naomi Murdoch, Ryan Park, Arianna Piccialli, Andrew Poppe, Beatrix Sánchez‐Cano, Laura Schaefer, Mariek Schmidt, Yasuhito Sekine, Kelsi Singer, Michael Sori, Norihiko Sugimoto, Sonia Tikoo, David Trang, and Zhiyong Xiao in addition to the editors who authored this note. We rely on the expertise of the community to vet the articles submitted to the journal. In 2023, JGR‐Planets benefited from 1,184 reviews provided by 731 unique volunteer referees. We also received help from 19 guest editors working on four active special collections. To these volunteers: We are truly grateful that you chose to dedicate your time and energy to evaluate manuscripts and to advise us on the suitability of each manuscript for JGR‐Planets, often suggesting ways to improve the papers. We know that all our volunteers juggle many duties, both professional and personal. On behalf of the entire editorial board of JGR‐Planets, we express our heartfelt gratitude to the many scientists who support this journal. Thank you! You are performing a valued service to this journal and to the community. Plain Language Summary: The peer review process is the key to ensuring that the articles published in JGR‐Planets are carefully vetted and present thoroughly considered, exciting discoveries or novel understandings of the fundamental processes that affect solar system objects. In 2023, JGR‐Planets benefitted from 1,184 reviews provided by 731 unique reviewers and from the help of 19 guest editors working on four active special collections. We are grateful that so many scientists chose to dedicate their time and energy to evaluating and suggesting ways to improve each submitted manuscript. We also wish to acknowledge our outstanding corps of 23 volunteer associate editors. Scientific publishing is truly a community effort. The entire editorial board of JGR‐Planets wishes to express our heartfelt gratitude to the many scientists who support this journal. Thank you! Key Points: 731 referees provided 1,184 peer reviews of manuscripts in 2023The JGR‐Planets Editorial Board includes 23 volunteer associate editors who provide a crucial serviceThe peer review process is critical to the integrity of JGR‐Planets; the Editorial Board is appreciative of the efforts of these individuals [ABSTRACT FROM AUTHOR]