Assessing Integrity Using Vegetation Structure and Composition

ContextThe draft post-2020 Global Biodiversity Framework aims to achieve a 15% net gain in the area, connectivity and integrity of natural systems by 2050. ObjectivesFirst, we analyse the complexity (foliage cover) and composition (native species richness) of 6 plant functional groups relative to their empirically defined benchmark. Second, we extrapolate the spatial patterns in foliage cover and species richness to predict where different plant functional groups are above or below benchmark as spatially-explicit, continuous characteristics across the landscape.MethodsWe assess the integrity of vegetation relative to a numerical benchmark using the log of the response ratio (LRR) to reflect the proportional change in the response variable. We use ensembles of artificial neural networks to build spatially-explicit, continuous, landscape-scale models of cover and species richness to assess locations where functional groups meet or exceed benchmarks.ResultsModels of vegetation cover LRR performed well (R2 0.79 – 0.88), whereas models of the vegetation richness LRR were more variable (R2 0.57 – 0.80). Predicted patterns show that across the landscape (11.5 million ha), there is a larger area that meets or exceeds the cover benchmarks (approximately 112 000 ha or 1%), and an order of magnitude lower (approximately 10 000 ha or 0.1%) for richness benchmarks. ConclusionsSpatially explicit maps of vegetation integrity can provide important information to complement assessments of area and connectivity. Our results highlight that net gains in the area, connectivity and integrity of ecosystems will require significant investment in restoration.

In-Silico Evaluation of Anthropomorphic Measurement Variations on Electrical Cardiometry in Neonates

Non-invasive cardiac output methods such as Electrical Cardiometry (EC) are relatively novel assessment tools for neonates and they enable continuous monitoring of stroke volume (SV). An in-silico comparison of differences in EC-derived SV in relation to preset length and weight was performed. EC (ICON, Osypka Medical) was simulated using the “demo” mode for various combinations of length and weight representative of term and preterm infants. One-centimetre length error resulted in a SV-change of 1.8–3.6% (preterm) or 1.6–2.0% (term) throughout the tested weight ranges. One-hundred gram error in weight measurement resulted in a SV-change of 5.0–7.1% (preterm) or 1.5–1.8% (term) throughout the tested length ranges. Algorithms to calculate EC-derived SV incorporate anthropomorphic measurements. Therefore, inaccuracy in physical measurement can impact absolute EC measurements. This should be considered in the interpretation of previous findings and the design of future clinical studies of EC-derived cardiac parameters in neonates, particularly in the preterm cohorts where a proportional change was noted to be greatest.

The ABC of linear regression analysis: What every author and editor should know

Regression analysis is a widely used statistical technique to build a model from a set of data on two or more variables. Linear regression is based on linear correlation, and assumes that change in one variable is accompanied by a proportional change in another variable. Simple linear regression, or bivariate regression, is used for predicting the value of one variable from another variable (predictor); however, multiple linear regression, which enables us to analyse more than one predictor or variable, is more commonly used. This paper explains both simple and multiple linear regressions illustrated with an example of analysis and also discusses some common errors in presenting the results of regression, including inappropriate titles, causal language, inappropriate conclusions, and misinterpretation.

Outcomes Following Implementation of a Hospital-Wide, Multicomponent Delirium Care Pathway

BACKGROUND: Delirium is associated with poor clinical outcomes that could be improved with targeted interventions. OBJECTIVE: To determine whether a multicomponent delirium care pathway implemented across seven specialty nonintensive care units is associated with reduced hospital length of stay (LOS). Secondary objectives were reductions in total direct cost, odds of 30-day hospital readmission, and rates of safety attendant and restraint use. METHODS: This retrospective cohort study included 22,708 hospitalized patients (11,018 preintervention) aged ≥50 years encompassing seven nonintensive care units: neurosciences, medicine, cardiology, general and specialty surgery, hematology-oncology, and transplant. The multicomponent delirium care pathway included a nurse-administered delirium risk assessment at admission, nurse-administered delirium screening scale every shift, and a multicomponent delirium intervention. The primary study outcome was LOS for all units combined and the medicine unit separately. Secondary outcomes included total direct cost, odds of 30-day hospital readmission, and rates of safety attendant and restraint use. RESULTS: Adjusted mean LOS for all units combined decreased by 2% post intervention (proportional change, 0.98; 95% CI, 0.96-0.99; P = .0087). Medicine unit adjusted LOS decreased by 9% (proportional change, 0.91; 95% CI, 0.83-0.99; P = .028). For all units combined, adjusted odds of 30-day readmission decreased by 14% (odds ratio [OR], 0.86; 95% CI, 0.80-0.93; P = .0002). Medicine unit adjusted cost decreased by 7% (proportional change, 0.93; 95% CI, 0.89-0.96; P = .0002). CONCLUSION: This multicomponent hospital-wide delirium care pathway intervention is associated with reduced hospital LOS, especially for patients on the medicine unit. Odds of 30-day readmission decreased throughout the entire cohort.

Direct and biometrical estimates of the closing force of major claws of the sand fiddler crab Leptuca pugilator (Bosc, 1801) (Decapoda: Brachyura: Ocypodidae): Support for the weakening combatant hypothesis

Many conclusions concerning the functional biology of crab claws rely upon biometrical estimates of closing force, based upon measures of muscle cross-sectional area and mechanical advantage. Fiddler crab closing force patterns show variation with body size, claw size, location of the opposing claw tips, and physiological condition, so we have measured closing force of the sand fiddler crab Leptuca pugilator (Bosc, 1801) as a function of claw size, force exerted at claw tips, and at the commonly well-developed pollex tooth. Leptuca pugilator has an elongated claw with gracile dactyl and pollex. As predicted by biometrical proportions, closing force is greater at the pollex tooth than at the claw tip. The pollex tooth does shift with increasing claw size in relative position toward the claw hinge. Mechanical advantage at the pollex tooth and dactyl tip both decline with increasing claw length. But there is no difference in slope of log closing force as a function of log claw length between the pollex position and terminus of the dactyl, which demonstrates that force exerted at the pollex tooth has no impact on proportional change in closing force with increasing claw size. The log-log slope is ~0.9, reflecting the proportionally decreasing muscle cross-sectional area and lowering mechanical advantage with increasing claw size. For both the pollex tooth and the claw tip, mechanical advantage decreases very slightly with increasing claw size, but closing force proportionally decreases with increasing claw size, supporting the weakening combatant hypothesis for this species.

Multiple resource limitations explain biomass-precipitation relationships in grasslands

Interannual variability in grassland primary production is strongly driven by precipitation, nutrient availability and herbivory, but there is no general consensus on the mechanisms linking these variables. If grassland biomass is limited by the single most limiting resource at a given time, then we expect that nutrient addition will not affect biomass production at arid sites. We conducted a distributed experiment manipulating nutrients and herbivores at 44 grassland sites in 8 regions around the world, spanning a broad range in aridity. We estimated the effects of 5-11 years of nutrient addition and herbivore exclusion treatments on precipitation sensitivity of biomass (proportional change in biomass relative to proportional change in rainfall among years), and the biomass in the driest year (to measure treatment effects when water was most limiting) at each site. Grazer exclusion did not interact with nutrients to influence driest year biomass or sensitivity. Nutrient addition increased driest year biomass by 74% and sensitivity by 0.12 (proportional units), and that effect did not change across the range of aridity spanned by our sites. Grazer exclusion did not interact with nutrients to influence sensitivity or driest year biomass. At almost half of our sites, the previous year's rainfall explained as much variation in biomass as current year precipitation. Overall, our distributed fertilization experiment detected co-limitation between nutrients and water governing grasslands, with biomass sensitivity to precipitation being limited by nutrient availability irrespective of site aridity and herbivory. Our findings refute the classical ideas that grassland plant performance is limited by the single most limiting resource at a site. This suggests that nutrient eutrophication will destabilize grassland ecosystems through increased sensitivity to precipitation variation.

Was the number of submissions to scholarly journals in Korea affected by the COVID-19 pandemic?

This study investigated whether there was an increase in submissions to scholarly journals in Korea according to journals’ field and indexation status in Scopus or Science Citation Index Expanded (SCIE) in 2020, the year when the coronavirus disease 2019 (COVID-19) pandemic first spread throughout the world. The analysis included 60 journals with esubmission systems operated by M2PI. Yearly and monthly submissions were counted from 2016 to 2020. The yearly proportional change was also calculated. In 2020, submissions soared for medical journals indexed in Scopus/SCIE (49.5%), corresponding to an increase of 36.9% relative to the expected number of submissions. There was also a surge of submissions to these journals from March to July 2020. However, non-medical journals and medical journals not indexed in Scopus/SCIE did not show an increase in submissions. The number of submissions to scholarly journals in Korea was affected by the COVID-19 pandemic in a specific subset of journals. The background of the spike in submissions is required to be re-investigated. Editors’ burden also should be mitigated through editorial board members’ help and publishers’ support.

Effect of Temporal and Spatial Smoothing on Speckle–Tracking-Derived Strain in Neonates

Clinical application of strain in neonates requires an understanding of which image acquisition and processing parameters affect strain values. Previous studies have examined frame rate, transmitting frequency, and vendor heterogeneity. However, there is a lack of human studies on how user-regulated spatial and temporal smoothing affect strain values in 36 neonates. This study examined nine different combinations of spatial and temporal smoothing on peak systolic left ventricular longitudinal strain in 36 healthy neonates. Strain values were acquired from four-chamber echocardiographic images in the software-defined epicardial, midwall, and endocardial layers in the six standard segments and average four-chamber stain. Strain values were compared using repeated measure ANOVAs. Overall, spatial smoothing had a larger impact than temporal smoothing, and segmental strain values were more sensitive to smoothing settings than average four-chamber strain. Apicoseptal strain decreased by approximately 4% with increasing spatial smoothing, corresponding to a 13–19% proportional change (depending on wall layer). Therefore, we recommend clinicians be mindful of smoothing settings when assessing segmental strain values.

Promoting Physical Activity in Japanese Older Adults Using a Social Pervasive Game: Randomized Controlled Trial

Background Pervasive games aim to create more fun and engaging experiences by mixing elements from the real world into the game world. Because they intermingle with players’ lives and naturally promote more casual gameplay, they could be a powerful strategy to stimulate physical activity among older adults. However, to use these games more effectively, it is necessary to understand how design elements of the game affect player behavior. Objective The aim of this study was to evaluate how the presence of a specific design element, namely social interaction, would affect levels of physical activity. Methods Participants were recruited offline and randomly assigned to control and intervention groups in a single-blind design. Over 4 weeks, two variations of the same pervasive game were compared: with social interaction (intervention group) and with no social interaction (control group). In both versions, players had to walk to physical locations and collect virtual cards, but the social interaction version allowed people to collaborate to obtain more cards. Changes in the weekly step counts were used to evaluate the effect on each group, and the number of places visited was used as an indicator of play activity. Results A total of 20 participants were recruited (no social interaction group, n=10; social interaction group, n=10); 18 participants remained active until the end of the study (no social interaction group, n=9; social interaction group, n=9). Step counts during the first week were used as the baseline level of physical activity (no social interaction group: mean 46,697.2, SE 7905.4; social interaction group: mean 45,967.3, SE 8260.7). For the subsequent weeks, changes to individual baseline values (absolute/proportional) for the no social interaction group were as follows: 1583.3 (SE 3108.3)/4.6% (SE 7.2%) (week 2), 591.5 (SE 2414.5)/2.4% (SE 4.7%) (week 3), and −1041.8 (SE 1992.7)/0.6% (SE 4.4%) (week 4). For the social interaction group, changes to individual baseline values were as follows: 11520.0 (SE 3941.5)/28.0% (SE 8.7%) (week 2), 9567.3 (SE 2631.5)/23.0% (SE 5.1%) (week 3), and 7648.7 (SE 3900.9)/13.9% (SE 8.0%) (week 4). The result of the analysis of the group effect was significant (absolute change: η2=0.31, P=.04; proportional change: η2=0.30, P=.03). Correlations between both absolute and proportional change and the play activity were significant (absolute change: r=0.59, 95% CI 0.32 to 0.77; proportional change: r=0.39, 95% CI 0.08 to 0.64). Conclusions The presence of social interaction design elements in pervasive games appears to have a positive effect on levels of physical activity. Trial Registration Japan Medical Association Clinical Trial Registration Number JMA-IIA00314; https://tinyurl.com/y5nh6ylr (Archived by WebCite at http://www.webcitation.org/761a6MVAy)

Government Expenditure and Sustainable Industrial Development in Nigeria

The development of the industrial sector remains a contentious issue in Nigeria’s economy.This research examines the impact of Government expenditure on sustainable industrial developmentin Nigeria. The research adopted Johansen co-integration and vector error correction analysis via EViews statistical software (version 10.0) for period between 1981 and 2018, to determine long-runimpact of public finance on industrial growth in Nigeria. It used time series data extracted from CBNstatistical bulletin (2018) and WDI (2018). This research adopts Wagner’s Law named after the Germanpolitical economist Adolph Wagner (1835-1917), which best explains government expenditure andindustrialization. This research study found out that government revenue is statistically insignificantbut has a positive effect on industrial development; Manufacturing Value added as a proxy (MVA), a100% change in GREV will bring about 28% changes in manufacturing output, capital expenditure ishowever statistically significant and negatively impacts industrial output, a change in CEXP will yieldless than a proportional change in MVA by about 52%, recurrent expenditure positively affectsindustrial growth, although its influence is statistically insignificant, a 100% rise in REXP will causeabout 41% increase in manufacturing sector’s growth. Also, a change in capital stock i.e. Gross FixedCapital Formation (GFCF) will lead to a significant but inelastic and less than proportional change inMVA, thereby depicting inverse relationship. Based on the findings the following conclusions weremade: Effective allocations of government revenue as well as the early release and approval of budgetproposals will have a meaningful effect on the economy, increase in sustainable investment levelalongside required equipment coupled with qualified personnel to properly manage these amenities willensure improvement of the industrial sector and finally, working incentives in form of tax incentives,promotion and salary increment should be regularly encouraged in the industrial sector in Nigeria