Moderate Scale Research Articles

Anxiety Among Healthcare Workers During COVID-19 Pandemic in Lebanon: The Importance of the Work Environment and Personal Resilience.

BackgroundHealthcare workers (HCWs) have been severely impacted by the COVID-19 pandemic. In addition to their risk of direct exposure to the virus, they were subjected to long working hours, scarcity of PPE, and additional stressors that impacted their psychological wellbeing. The purpose of this study was to assess anxiety and its predictors among a sample of HCWs at the American University of Beirut Medical Center (AUBMC) and to evaluate the association between resilience and anxiety.MethodsThis cross-sectional study was conducted using an online survey between March and June 2021 among HCWs at AUBMC. The psychosocial scale section included the 7-item generalized anxiety disorder (GAD-7) scale and a 25-item resilience scale, validated tools used to assess anxiety and resilience respectively. Data were analyzed on SPSS version 27, and descriptive statistics were applied. Predictors were evaluated using bivariate and multivariate linear regression.ResultsFrom a total of 92 participants, 75% were involved in direct patient care, and of those, 95% worked directly with suspected or confirmed COVID-19 patients. The majority (83%) had minimal to mild anxiety, whereas the rest had moderate to high anxiety levels. Around 41% reported moderately high to high resilience, 47% were found to be between the low end and moderate resilience scale and only 12% had very low or low resilience. More than 80% of the participants received PPE training, reported always working with adequate preventive infection control measures, and were vaccinated. Further, more than 70% of participants reported trusting the management and agreed that the safety of the workers is considered a high priority. No significant association between sociodemographic and COVID-19 work exposure factors with anxiety was found. Multivariate analysis results showed that a lower anxiety score was associated with higher resilience (p = 0.011).ConclusionThis study has shown a strong association between low anxiety levels and high resilience scores in this group of mostly vaccinated HCWs caring for COVID-19 patients. The high percentage of vaccination along with PPE availability could explain the low anxiety levels reported among the participants.

Alfred Marshall's Last Challenge: His Book on Economic Progress

Alfred Marshall's Last Challenge: His Book on Economic Progress

The Origin of The Soft X-Ray Excess in the Seyfert 1.5 Galaxy ESO 362-G18

We review the Seyfert 1.5 Galaxy ESO 362-G18 for exploring the origin of the soft X-ray excess. The Warm Corona and Relativistic Reflection models are two main scenarios to interpret the soft X-ray excess in active galactic nuclei at present. We use the simultaneous X-ray observation data of XMM-Newton and NuSTAR on 2016 September 24 to perform spectral analysis in two steps. First, we analyze the time-average spectra by using Warm Corona and Relativistic Reflection models. Moreover, we also explore the Hybrid model, Double Reflection model and Double Warm Corona model. We find that both the Warm Corona and Relativistic Reflection models can interpret the time-average spectra well but cannot be distinguished easily based on the time-averaged spectra fit statistics. Second, we add the rms and covariance spectra to perform the spectral analysis with time-average spectra. The result shows that the warm corona could reproduce all of these spectra well. The hot, optical thin corona and neutral distant reflection will increase their contribution with the temporal frequency, meaning that the corona responsible for X-ray continuum comes from the inner compact X-ray region and the neutral distant reflection is made of some moderate scale neutral clumps.

Spatiotemporal Variations in Farmland Rents and Its Drivers in Rural China: Evidence from Plot-Level Transactions

Reasonable rent is the key to promoting land transfer and realizing agricultural operations on a moderate scale in rural China. The purpose of this study was to reveal the spatiotemporal variations in farmland rents and their drivers by employing a multilevel model based on 3547 plot-level transactions in Sichuan Province of China. The results show that the rents of paddy field, irrigated land, dry land and other types of farmland have all maintained an upward trend since 2014, rising by 61%, 53%, 44% and 224%, respectively. The average rent per ha for these properties reached CNY 13,920, 12,285, 10,230 and 7980 in 2020 (1 USD = CNY 6.90 in 2020), respectively. Farmland rents have shown a significant spatial agglomeration phenomenon, and the regions with higher rent were mainly distributed in Chengdu and its surrounding areas, while the regions with lower rent were distributed in the east and northeast of Sichuan Province. The differences in farmland rent were influenced by multilevel factors such as plot level and regional level, and the former explained 73.4% of the farmland rent variation. The plots with a larger area, longer transfer period, clear ownership, better location and good-quality land had higher rents; otherwise, the rents were lower.

Progress in the Research of Environmental Macroeconomics

This review systematically introduces the current main research directions of environmental macroeconomics. Environmental macroeconomics research aims to study the relationship between economic development and the ecological environment and ultimately achieve green outcomes. At the same time, maintaining a moderate economic scale within the environmental setting is vital to get rid of excessive dependence on economic growth. This review draws on the traditional macroeconomics framework, focusing on economic growth, the economics of climate, economic policy, work, consumption, technological progress, industrial structure, and other topics. Although most studies have highlighted the importance of environmental issues, few empirical analyses combine environmental policy with economic policy, production, consumption, climate change, etc., and theories such as ecological, technological progress, business cycle, and environmental policy lack the necessary practical support. It is, therefore, difficult to put forward appropriate and measurable policy recommendations. Environmental macroeconomics is still a relatively new field of research, the theoretical system has flaws, and innovations in models still need to be improved. We suggest that environmental policy formulation be placed in a dynamic general equilibrium framework.

The Effect of Relaxation Techniques and Distraction Techniques on Reducing Pain Scale in Postoperative Patients at UKI Hospital East Jakarta in 2020

The purpose of this study was to determine the effect of relaxation techniques and distraction techniques on reducing pain scale in postoperative patients at UKI Hospital in 2020. This study used a cross sectional study approach which aims to determine the effect of relaxation and distraction techniques on postoperative patients at UKI Hospital. Cross sectional is a method for approaching respondents (point time approach) which is carried out at one time. the independent variable is relaxation technique and the dependent variable distraction is the decrease in pain scale in postoperative patients. The results of the study concluded that there were differences in the results of the pain scale between the pre-test and post-test with the Relaxation technique in postoperative patients. Most of the respondents had moderate pain scale results as many as 77% of postoperative patients, the group after intervention with Relaxation showed that most respondents had mild pain scale results as many as 86% of postoperative patients. There is a difference in the results of the pain scale between the pre-test and post-test with the Distraction technique in postoperative patients. Most of the respondents had controlled severe pain scale results as many as 88% of patients, the group after the distraction intervention showed that most of the respondents had moderate pain scale results as many as 79% of patients.

In-situ observations on a moderate resolution scale for validation of the Global Change Observation Mission-Climate ecological products: The uncertainty quantification in ecological reference data

We report the ground validation activity for the terrestrial ecology products (leaf area index, above-ground biomass, and fraction of absorbed photosynthetically active radiation) of the Second-generation Global Imager (SGLI) on JAXA’s satellite named “Global Change Observation Mission-Climate.” We gave special attention to quantifying the uncertainty propagating from errors in the ecological reference data (ERD) obtained by the field work. Specifically, for optimal design and practical implementation of the field work with small uncertainty and small cost, we proposed: 1) a practical target which defined the accuracy threshold of ERD as a quarter of the satellite accuracy threshold, and 2) a calculation method of the uncertainty quantification of ERD by accounting for the uncertainty propagating from the empirical regression equations (such as allometry equations) and the statistical distribution of the population. As a result, we obtained ERD for GCOM-C/SGLI in various plant functional types (a deciduous needle-leaved forest, a deciduous broad-leaved forest, an evergreen needle-leaved forest, and dry and wet grassland) with sufficient quality, especially with a coverage area of 500 m × 500 m which can include a footprint of the sensor (250 m × 250 m) in any situation. We demonstrated: 1) the accuracy target was the key decision to make the practical calibration/validation work, 2) the regression uncertainty had a large impact, although little literature provided sufficient ancillary data about the regression equations necessary for quantification of the uncertainty, and 3) the optimal protocols of ERD observation can change depending on situations (plant functional types, phenology stages, type of products, accuracy targets, resources, and development of observation instruments and techniques); hence the choice should be made on the basis of quantification of the uncertainties.

Perspective approach to Nutritional anemia among Medical students using Health Belief Model: A cross sectional study in Tamil Nadu

Introduction: Anemia is one of the major public health problem more commonly encountered in both developed as well asdeveloping countries1. Various causes for anaemia are nutritional deficiencies, infectious diseases and chronic blood loss.Nutritional anemia is the most widespread nutritional disorder in the world affecting 500 million to 1 billion individuals4.The most vulnerable population for nutritional anaemia is Adolescents aged 10-19 years. Most of the anemia initiativesare directed towards maternity and early childhood, there is not much attention shown towards adolescent population.This study was conducted to throw light on attitude towards nutritional anemia among undergraduate medical studentsby using Health belief model.Study Methodology: This study was conducted in a private medical college at Chengelpet district of Tamil Nadu. 122students from first year were selected by using universal sampling method. A self administered questionnaire comprisingof two parts was used to collect data, first part was general information about the participants and second part werequestions under five factors of Health benefit model.Result:Mean value of perceived benefit was 3.2+1.54, perceived barrier was 1.7+0.47, perceived self efficacy was 2.69+1.14interpersonal influence was 2.45+0.73 and situational influence was 2.26+1.2. Nearly 82.8% had perceived benefit onhighest scale, 76.2% had perceived barrier on a moderate scale and 52.5% had perceived self efficacy on a moderate scale.Conclusion: The study participants with high self efficacy were able to overcome the barriers and perceive benefit ofreduced risk in acquiring nutritional anaemia.

Investigation of Thermal Performance of Evacuated Tube with Parabolic Trough Collector with and without Porous Media

In this paper a new model has demonstrated that it operates in a moderate performance scale to generate hot water. In its early stage, the preliminary model, which built with double pass water tube inside evacuated tube, was investigated experimentally. The model was tested inside room under different operation conditions in terms of solar radiation 300, 400, 500 and 600 W/m2 and water mass flow rates 0.00305 and 0.0083kg/s. In the first case, there was a problem because of the air gap inside the tube and surrounding the double pass water tube, so In the second stage, two different filling medium inside the evacuated tube was proposed to modify the preliminary model. The mediums cases include porous media (stainless steel wire mesh and Aluminum fiber metallic). The results show that maximum efficiency without porous media was 62.4% at 0.0083 kg/s and heat flux 600 W/m2, but after porous media applied, the efficiency reached 79.4% at 99.997% porosity of Aluminum fiber metallic and heat flux 600 W/m2 with same water mass flow.

Association of venous thromboembolism following pediatric traumatic spinal injuries with injury severity and longer hospital stays.

Venous thromboembolism (VTE) can cause significant morbidity and mortality in hospitalized patients, and may disproportionately occur in patients with limited mobility following spinal trauma. The authors aimed to characterize the epidemiology and clinical predictors of VTE in pediatric patients following traumatic spinal injuries (TSIs). The authors conducted a retrospective cohort analysis of children who experienced TSI, including spinal fractures and spinal cord injuries, encoded within the National Trauma Data Bank from 2011 to 2014. Of the 22,752 pediatric patients with TSI, 192 (0.8%) experienced VTE during initial hospitalization. Proportionally, more patients in the VTE group (77%) than in the non-VTE group (68%) presented following a motor vehicle accident. Patients developing VTE had greater odds of presenting with moderate (adjusted odds ratio [aOR] 2.6, 95% confidence interval [CI] 1.4-4.8) or severe Glasgow Coma Scale scores (aOR 4.3, 95% CI 3.0-6.1), epidural hematoma (aOR 2.8, 95% CI 1.4-5.7), and concomitant abdominal (aOR 2.4, 95% CI 1.8-3.3) and/or lower extremity (aOR 1.5, 95% CI 1.1-2.0) injuries. They also had greater odds of being obese (aOR 2.9, 95% CI 1.6-5.5). Neither cervical, thoracic, nor lumbar spine injuries were significantly associated with VTE. However, involvement of more than one spinal level was predictive of VTE (aOR 1.3, 95% CI 1.0-1.7). Spinal cord injury at any level was also significantly associated with developing VTE (aOR 2.5, 95% CI 1.8-3.5). Patients with VTE stayed in the hospital an adjusted average of 19 days longer than non-VTE patients. They also had greater odds of discharge to a rehabilitative facility or home with rehabilitative services (aOR 2.6, 95% CI 1.8-3.6). VTE occurs in a low percentage of hospitalized pediatric patients with TSI. Injury severity is broadly associated with increased odds of developing VTE; specific risk factors include concomitant injuries such as cranial epidural hematoma, spinal cord injury, and lower extremity injury. Patients with VTE also require hospital-based and rehabilitative care at greater rates than other patients with TSI.

COSMONET: An R Package for Survival Analysis Using Screening-Network Methods

Identifying relevant genomic features that can act as prognostic markers for building predictive survival models is one of the central themes in medical research, affecting the future of personalized medicine and omics technologies. However, the high dimension of genome-wide omic data, the strong correlation among the features, and the low sample size significantly increase the complexity of cancer survival analysis, demanding the development of specific statistical methods and software. Here, we present a novel R package, COSMONET (COx Survival Methods based On NETworks), that provides a complete workflow from the pre-processing of omics data to the selection of gene signatures and prediction of survival outcomes. In particular, COSMONET implements (i) three different screening approaches to reduce the initial dimension of the data from a high-dimensional space p to a moderate scale d, (ii) a network-penalized Cox regression algorithm to identify the gene signature, (iii) several approaches to determine an optimal cut-off on the prognostic index (PI) to separate high- and low-risk patients, and (iv) a prediction step for patients’ risk class based on the evaluation of PIs. Moreover, COSMONET provides functions for data pre-processing, visualization, survival prediction, and gene enrichment analysis. We illustrate COSMONET through a step-by-step R vignette using two cancer datasets.

Moderate-severe coronary calcification predicts long-term cardiovascular death in CT lung cancer screening: The ITALUNG trial

PurposeCoronary artery calcifications (CAC) are very strong indicators for increased cardio-vascular (CV) risk and can be evaluated also in low-dose computed tomography (LDCT) for lung cancer screening. We assessed whether a simple and fast CAC visual score is associated with CV mortality. MethodsCAC were retrospectively assessed by two observers using a 4-score (absent, mild, moderate and severe) scale in baseline LDCT obtained in 1364 participants to the ITALUNG trial who had 55–69 years of age and a smoking history ≥20 pack–years. Correlations with CV risk factors at baseline and with CV mortality after 11 years of follow-up were investigated. ResultsCAC were absent in 470 (34.5%), mild in 433 (31.7%), moderate in 357 (26.2%) and severe in 104 (7.6%) subjects. CAC severity correlated (≤0.001) with age, male sex, pack-years, history of arterial hypertension or diabetes, obesity and treated hypercholesterolemia. Twenty-one CV deaths occurred. Moderate or severe CAC were significantly associated with higher CV mortality after adjustment for all other known risk factors (ARR = 2.72; 95 %CI:1.04–7.11). Notably, also in subjects with none or one only additional CV risk factor, the presence of moderate-severe CAC allowed to identify a subgroup of subjects with higher CV death risk (RR = 3.66; CI95%:1.06–12.6). ConclusionsModerate or severe CAC visually assessed in LDCT examinations for lung cancer screening are independently associated with CV mortality.

Factors Influencing the Adoption of Agricultural Machinery by Chinese Maize Farmers

As the major labor force has shifted from rural areas to cities, labor shortages in agricultural production have resulted. In the context of technical progress impact, and depending on farm resource endowments, farmers will choose effective labor saving technology such as machinery to substitute for the missing manual labor. The reasons behind farmers’ adoption of machinery technology are worth exploring. Therefore, this study uses 4165 Chinese maize farmers as the target group. Multivariate probit models were performed to identify the factors that affect maize farmers’ adoption of four machinery technologies as well as the interrelation between these adoption decisions. The empirical results indicate that maize sowing area, arable land area, crop diversity, family labor, subsidy, technical assistance, and economies of scale have positive effects on machinery adoption, while the number of discrete fields in the farm has a negative impact. Maize farmers in the Northeast and North have higher machinery adoption odds than other regions. The adoption of these four machinery technologies are interrelated and complementary. Finally, moderate scale production, crop diversification, subsidizing agricultural machinery and its extension education, and land consolidation, are given as recommendations for promoting the adoption of agricultural machinery by Chinese maize farmers.

Take back your fish: questioning NGO-mediated development in Caquetá, Colombia

Could aquaculture lift farmers out of poverty and provide stability and an alternative livelihood to coca farming? Currently, aquaculture is pursued on a moderate scale, with the involvement of around 1500 small-scale farmers, in Caquetá, a department located in the Amazonian bioregion of Colombia. Some 400 farmers are organised in a grassroots non-governmental organisation (NGO) called Acuica. Cultivation and sale of fish provide a means for local fish farmers to move away from coca production and diversify their economic activities beyond cattle ranching and dairy production. In this article, we analyse the relationships among fish farmers, the state and Acuica. We argue that NGO success in securing donor funding can be underpinned by an NGO developmentalist gaze that homogenises its constituencies, which in the case of Acuica obscures different logics of fish production. This not only helps explain the mixed results in achieving development objectives but also suggests that initiatives that are intended to help farmers can imperil those who are already vulnerable. On the other hand, we argue that farmers’ strategic dependency on development initiatives displays their complex agency, as they are active consumers both engaging with and resisting the state’s NGO-mediated project of development.

Magnitude of general obesity, abdominal obesity and related risk factors among medical students

Abstract Introduction Obesity is recognized to be one of the greatest public health problems worldwide. In addition to physical health problems, obesity is also linked to an increased risk of mental health disorders. We aimed to estimate the magnitude of overweight/obesity among medical students, to identify their risk factors and to assess their impact on mental health. Methods We conducted a cross-sectional questionnaire survey among 524 medical students randomized from different levels, at the Faculty of Medicine of Sfax, Tunisia, on October 2019. Results The prevalence of combined overweight/obesity and abdominal obesity were 21.9% and 22.3%, respectively. The independent risk factors of overweight/obesity were male gender (OR = 3.2; 95% confidence interval (CI) = [1.96-5.2]), internship (OR = 2; 95% CI = [1.1-3.9]) and residency (OR = 3.2; 95% CI = [1.7-6]) levels, as well as moderate (OR = 3.4; 95% CI = [1.4-8.3]) and high (OR = 6.7; 95% CI = [2.6-16.9]) stress scale. However, daily fresh vegetables (OR = 0.4, CI95% = [0.2-0.8]) and high-fiber cereals whole-grain bread (OR = 0.5; 95%CI = [0.28-0.83]) consumption, light (OR = 0.37; 95% CI = [0.16-0.86]), moderate (OR = 0.24; 95% CI = [0.06-0.89]) and vigorous exercise (OR = 0.091; 95% CI = [0.01-0.74]) were independent protective factors of overweight/obesity. Severe consequences of obesity were noted, such as less ability to concentrate (37.9% vs 47.6%; p = 0.024), living under stress (72.2% vs 60.6%; p = 0.023), feeling unhappy and depressed (57.4% vs 44.7% p = 0.016), losing confidence (45.2% vs 20.5%; p < 0.001) and inability to enjoy normal activities (53.9% vs 38.7% p = 0.03). Conclusions Unhealthy lifestyle was relatively high among students with obesity. Our study confirms the data from the literature, and underlines the need to set up a plans including nutrition and lifestyle education in their curriculum. Key messages Unhealthy lifestyle was relatively high among students. The need to set up a plans including nutrition and lifestyle education.

Failure stress response of rotating multilayered fiber reinforced annular disk

An analytical approach is constructed to examine the limit stresses of multilayered fiber reinforced disk. Three different layer configurations are considered, which are decreasing, constant and increasing reinforcement from the inner to the outer radius of the disk. The multilayered disk is subjected to two boundary conditions, free-free and fixed-free. Stress fields are then obtained accordingly. In order to predict the limit stresses, Tsai–Wu criterion is implemented. Effects of different reinforcement configurations and various transverse Young's modulus estimations on the stresses are rigorously analyzed in the numerical examples. It has been mathematically observed that the disk with increasing reinforcement fails at higher angular velocities than other reinforcement types, and the selected Young's modulus affects the stresses in small to moderate scale.

Hierarchy and Reliability of the Preschool Language Scales-Fifth Edition: Mokken Scale Analysis.

Purpose This study examined the psychometric properties of the Preschool Language Scales-Fifth Edition (PLS-5 English) among preschool children from low-socioeconomic status (SES) families. Method The PLS-5 was administered individually to 169 3- to 4-year-old children enrolled in Head Start programs. We carried out a Mokken scale analysis (MSA), which is a nonparametric item response theory analysis, to examine the hierarchy among items and the reliability of test scores of the PLS-5 Auditory Comprehension (AC) and Expressive Communication (EC) scales. Results The PLS-5 EC items retained a moderate Mokken scale with the inclusion of all the items. On the other hand, the PLS-5 AC items formed a moderate Mokken scale only with the exclusion of five unscalable items. The latent class reliability coefficients for the AC and the EC scale scores were both above .90. Several items that violated the invariant item ordering assumption were found for both scales. Conclusions MSA can be used to examine the relationship between the latent language ability and the probability of passing an item with ordinal responses. Results indicate that for preschool children from low-SES families, it is appropriate to use the PLS-5 EC scale scores for comparing individuals' expressive language abilities; however, researchers and speech-language pathologists should be cautious when using the PLS-5 AC scale scores to evaluate individuals' receptive language abilities. Other implications of the MSA results are further discussed.

The interplay of structure and metamorphism at Broken Hill, NSW, Australia

Downward younging of stratigraphy in several large F2 fold structures in the Paleoproterozoic Willyama Supergroup in the Broken Hill area has previously been explained by very large-scale F1 nappe folds followed by relatively upright F2 and F3 folds. In three major structures, the Mt Robe–East Eldee Structure, the Paps Synform and the Bijerkerno Synform, the andalusite-sillimanite metamorphic isograd parallels stratigraphy for tens of kilometres. Given the conformability of these segments of isograd in plan view, it is reasonable to suggest that in two of the structures, sillimanite-grade rocks rest on andalusite-grade rocks. In all cases the younger stratigraphic units are at lower metamorphic grade than the older stratigraphic units, whether the stratigraphy is upright, as in the Bijerkerno Synform, or inverted, as in the Mt Robe-East Eldee Structure and the Paps Synform. Major bodies (mini-batholiths) of pegmatite are confined stratigraphically to below the Sundown Group, whether the stratigraphy is upright or overturned. In the D1 nappe model the andalusite-sillimanite isograd and the emplacement of pegmatite mini-batholiths must both predate the D1 nappe folding. There is evidence that andalusite preceded D1, but not sillimanite, which is a defining mineral in the first-generation schistosity (S1). The large-scale nappe model is also not compatible with calculated metamorphic pressures. An alternative model involving extensional D1, followed by D2 sheath folds, explains downward-facing metamorphic facies but is not viable. Large-scale fold structures in the Mt Robe Block can be explained by recumbent folding at a moderate scale, followed by inclined sheath folding. The downward-facing stratigraphy and metamorphic facies in the Mt Robe and Paps synforms are interpreted to lie on the underside of inclined F2 sheath-like folds. KEY POINTS In major fold structures in the Willyama Supergroup, upper stratigraphic units are at a lower metamorphic grade than lower stratigraphic units, whether the fold is upward-facing or downward-facing. In two large F2 folds sillimanite-grade rocks showing melting are situated above andalusite-grade rocks. Pegmatitic mini-batholiths show semi-regional stratigraphic control below the top of the Broken Hill Group, whether they are in upward or downward-facing fold limbs. A new structural model with D1 recumbent folding, followed by D2 sheath-like folding, is based on structures in the Mt Robe Block.

Mapping Boreal Forest Spruce Beetle Health Status at the Individual Crown Scale Using Fused Spectral and Structural Data

The frequency and severity of spruce bark beetle outbreaks are increasing in boreal forests leading to widespread tree mortality and fuel conditions promoting extreme wildfire. Detection of beetle infestation is a forest health monitoring (FHM) priority but is hampered by the challenges of detecting early stage (“green”) attack from the air. There is indication that green stage might be detected from vertical gradients of spectral data or from shortwave infrared information distributed within a single crown. To evaluate the efficacy of discriminating “non-infested”, “green”, and “dead” health statuses at the landscape scale in Alaska, USA, this study conducted spectral and structural fusion of data from: (1) Unoccupied aerial vehicle (UAV) multispectral (6 cm) + structure from motion point clouds (~700 pts m−2); and (2) Goddard Lidar Hyperspectral Thermal (G-LiHT) hyperspectral (400 to 1000 nm, 0.5 m) + SWIR-band lidar (~32 pts m−2). We achieved 78% accuracy for all three health statuses using spectral + structural fusion from either UAV or G-LiHT and 97% accuracy for non-infested/dead using G-LiHT. We confirm that UAV 3D spectral (e.g., greenness above versus below median height in crown) and lidar apparent reflectance metrics (e.g., mean reflectance at 99th percentile height in crown), are of high value, perhaps capturing the vertical gradient of needle degradation. In most classification exercises, UAV accuracy was lower than G-LiHT indicating that collecting ultra-high spatial resolution data might be less important than high spectral resolution information. While the value of passive optical spectral information was largely confined to the discrimination of non-infested versus dead crowns, G-LiHT hyperspectral band selection (~400, 675, 755, and 940 nm) could inform future FHM mission planning regarding optimal wavelengths for this task. Interestingly, the selected regions mostly did not align with the band designations for our UAV multispectral data but do correspond to, e.g., Sentinel-2 red edge bands, suggesting a path forward for moderate scale bark beetle detection when paired with suitable structural data.

COVID-19 restrictions and age-specific mental health\u2014U.S. probability-based panel evidence

Social distancing, self-isolation, quarantining, and lockdowns arising from the COVID-19 pandemic have been common restrictions as governments have attempted to limit the rapid virus transmission. In this study, we identified drivers of adverse mental and behavioral health during the COVID-19 pandemic and whether factors such as social isolation and various restrictions serve as additional stressors for different age groups. Univariate and multivariate regression analyses were conducted on a unique dataset based on a national probability-based survey dedicated to understanding the impact of COVID-19 in the U.S., which includes 19 questions on the individual impact of restrictions, bans, and closures. The analysis used a moderate distress scale built on five questions related to mental health for 3,646 respondents. The mental health of young adults (18−34 years old) was the most affected by restrictions, while that of older adults (>55 years old) was less affected. In addition, demographic and health characteristics associated with differences in mental health varied by age group. The findings in this analysis highlight the differential mental health needs of different age groups and point to the marked necessity for differentiated and targeted responses to the mental health effects of COVID-19 by age group.