High-resolution repeat topography of drifting ice floes in the Arctic Ocean from terrestrial laser scanning.

Snow and ice topography impact and are impacted by fluxes of mass, energy, and momentum in Arctic sea ice. We measured the topography on approximately a 0.5 km2 drifting parcel of Arctic sea ice on 42 separate days from 18 October 2019 to 9 May 2020 via Terrestrial Laser Scanning (TLS). These data are aligned into an ice-fixed, lagrangian reference frame such that topographic changes (e.g., snow accumulation) can be observed for time periods of up to six months. Using in-situ measurements, we have validated the vertical accuracy of the alignment to ± 0.011 m. This data collection and processing workflow is the culmination of several prior measurement campaigns and may be generally applied for repeat TLS measurements on drifting sea ice. We present a description of the data, a software package written to process and align these data, and the philosophy of the data processing. These data can be used to investigate snow accumulation and redistribution, ice dynamics, surface roughness, and they can provide valuable context for co-located measurements.

A Database of Snow on Sea Ice in the Central Arctic Collected during the MOSAiC expedition.

Snow plays an essential role in the Arctic as the interface between the sea ice and the atmosphere. Optical properties, thermal conductivity and mass distribution are critical to understanding the complex Arctic sea ice system's energy balance and mass distribution. By conducting measurements from October 2019 to September 2020 on the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, we have produced a dataset capturing the year-long evolution of the physical properties of the snow and surface scattering layer, a highly porous surface layer on Arctic sea ice that evolves due to preferential melt at the ice grain boundaries. The dataset includes measurements of snow during MOSAiC. Measurements included profiles of depth, density, temperature, snow water equivalent, penetration resistance, stable water isotope, salinity and microcomputer tomography samples. Most snowpit sites were visited and measured weekly to capture the temporal evolution of the physical properties of snow. The compiled dataset includes 576 snowpits and describes snow conditions during the MOSAiC expedition.

Impact of COVID-19 pandemic on sleep of undergraduate students: A systematic literature review.

The 2019 coronavirus pandemic forced the shift to distance education aggravating mental and physical vulnerabilities of undergraduate students, including sleep. This review aims to describe sleep problem rates and prevalence, sleep pattern disruption, sleep duration, sleep quality, insomnia symptoms, psychological and socio-economic factors affecting sleep of undergraduates in 22 countries. A systematic search for articles published from 2020 to 2021 using 'COVID-19,' 'Coronavirus,' 'Pandemic,' 'Sleep,' 'Mental Health,' and 'Students' from PubMed, Scopus, and Cochrane yielded 2550 articles, where 72 were included. Selection criteria were: English full-text available articles, undergraduates and not postgraduates, reported sleep outcomes, and participants not from allied health courses. Risk of bias was assessed using various Joanna Briggs Institute checklists and outcomes were descriptively synthesized. Prevalence of sleep problems was notable, while longitudinal studies showed increased rates. There was significantly increased sleep duration, and sleep pattern disruption during lockdowns. Several psychological, behavioural, environmental, demographic, and socio-economic factors were found to be associated with sleep changes. These highlight the pandemic's impact on sleep of undergraduate students and reveal opportunities for institutions to intervene with policies and programs to promote the well-being of undergraduates. Limitations include recall bias and underrepresentation of other countries. This study is self-funded with registration number RGAO-2021-0071.

A cross-sectional study on the sleep quality and excessive daytime sleepiness of Filipino medical students in a state-run university during the coronavirus disease (COVID-19) pandemic

Introduction@#Movement restrictions and changes in medical education around the world due to the Coronavirus 2019 pandemic have been sources of stress, which affect sleep and compound the demands of medical education. In the Philippines, stay-at-home orders were implemented in the National Capital Region on 15 March 2020, and despite various readjustments and re-definitions, remain in effect to date, March 2022. Objectives. This cross-sectional study aims to determine the sleep quality and daytime sleepiness of Filipino medical students during prolonged stay-at-home orders, to compare them with pre-pandemic evaluations, and to explore associations between scores and participant characteristics.@*Methods@#The medical student population of a state-run university in the City of Manila was included, while those on a leave of absence were excluded. The Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index which measure excessive daytime sleepiness and sleep quality, respectively, were disseminated via Google Forms from April to May 2021. @*Results@#Response rate was 87.75% (n=709) with a mean age of 22.9 ± 2.0 years and a 1:1.09 male-to-female ratio. Among the respondents, 41.18% had excessive daytime sleepiness, and was significantly higher for first-year premedicine students. Compared to pre-pandemic scores, daytime sleepiness decreased during the pandemic. On the other hand, 62.34% of the respondents had poor sleep quality, with global scores being significantly higher for the first-year pre-medicine students. Relationships between participants' characteristics and their scores were extremely weak, while a moderately significant correlation existed between global daytime sleepiness and sleep quality scores.@*Conclusion@#Both excessive daytime sleepiness and poor sleep quality remain prevalent during prolonged stay-athome orders. These reflect the effect of the pandemic on stress inherent to medical education, and may be additional facets to be regarded in evaluating the general well-being of medical students.

A comparative study on depression and anxiety of mice (Mus musculus) on a prebiotic-supplemented diet versus a standard diet during Unpredictable Chronic Mild Stress (UCMS)

@#<p style="text-align: justify;"><strong>Background.</strong> Anxiety and depression are becoming increasingly prevalent today and are often aggravated by day-to-day stresses. Because current management strategies are usually accompanied by unpleasant side effects, there is a need to look into alternative treatment regimens - such as prebiotics - that may provide equally effective anxiolytic and antidepressant effects.</p><p style="text-align: justify;"><strong>Objective.</strong> Therefore, the study aims to determine the effect of a combined fructooligosaccharide (FOS) and galactooligosaccharide (GOS) supplemented diet on anxiety and depression levels in mice subjected to Unpredictable Chronic Mild Stress (UCMS).</p><p style="text-align: justify;"><strong>Methods.</strong> Forty male BALB/C mice were subjected to UCMS under a pretest-posttest control group design where the treatment group received prebiotic supplementation throughout the study. Repeated measures ANOVA was run to evaluate between, within, and time interactions of the measured anxiety parameters using the light-dark box test, and depression parameter using the fur coat state assessment.</p><p style="text-align: justify;"><strong>Results.</strong> Results show that (1) the FOS + GOS treatment did not give the treatment group an advantage over the control group during UCMS, (2) both groups grew more anxious and depressed over time, and (3) the treatment group grew more anxious with time in relation to control in terms of the total time spent in the light side.</p><p style="text-align: justify;"><strong>Conclusion.</strong> These imply that the UCMS protocol was successful in inducing stress in mice, but the FOS + GOS regimen failed to provide anxiolytic and antidepressant effects on male BALB/C mice exposed to UCMS.</p>

Public sector administration of ecological economics systems using mediated modeling.

In today's climate of government outsourcing and multiple stakeholder involvement in public sector management and service delivery, it is more important than ever to rethink and redesign the structure of how policy decisions are made, implemented, monitored, and adapted to new realities. The traditional command-and-control approach is now less effective because an increasing amount of responsibility to deliver public goods and services falls on networks of nongovernment agencies. Even though public administrators are seeking new decision-making models in an increasingly more complex environment, the public sector currently only sparsely utilizes Mediated Modeling (MM). There is growing evidence, however, that by employing MM and similar tools, public interest networks can be better equipped to deal with their long-term viability while maintaining the short-term needs of their clients. However, it may require a shift in organizational culture within and between organizations to achieve the desired results. This paper explores the successes and barriers to implementing MM and similar tools in the public sector and offers insights into utilizing them through a review of case studies and interdisciplinary literature. We aim to raise a broader interest in MM and similar tools among public sector administrators at various administrative levels. We focus primarily, but not exclusively, on those cases operating at the interface of ecology and socio-economic systems.