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Evaluating the spatiotemporal patterns of carbon dynamics is critical for both understanding the role of forest ecosystems in the carbon cycle and developing effective forest policies to mitigate the impacts of climate change. This study analyzes the effects of spatiotemporal changes on carbon dynamics based on landscape structure for the Hisar Planning Unit, Turkey, using forest inventory data between 1973 and 2015. The total carbon stock increased from 1434.49 Gg in 1973 to 1919.37 Gg in 2015, an increase of 33.8%. The mean annual carbon storage was 11.54 Gg · year-1 , including 4.28 Gg · year-1 in biomass and 7.26 Gg · year-1 in soil over four decades. The most significant carbon pool in the total carbon stock was from the soil, with 71.6%, 70.7%, and 69.4% of the total carbon storage in 1973, 1998, and 2015, respectively. Pure pine stands, overmature development stages, fully covered stands, and older forests were the prevailing factors affecting carbon density. The conversion from degraded (1442.47 ha, 14.85%), coppice (157.04 ha, 3.9%), and non-forest lands (1412.91 ha, 5.2%) to productive forests with afforestation or restoration activities significantly boosted the total carbon storage. Furthermore, increasing awareness and stewardship in forest management coupled with improved economic well-being reduced the pressure on the forests, leading to an increase in the quality of forest structure. These changes in landscape structure resulted in the heterogeneous distribution of carbon dynamics. In conclusion, understanding the spatiotemporal patterns of carbon dynamics is crucial for both forest managers and policy-makers in developing sustainable forest management practices and climate mitigation strategies for ecological sustainability and climate-smart forestry. Integr Environ Assess Manag 2021;001-15. © 2021 SETAC.

This study compared differences in age-standardized suicide mortality rates, personal characteristics (demographics, employment conditions, and details of suicide), and work-related stress by gender and occupation among workers who had committed suicide in Korea.

Data comprised 413 suicide death claims lodged with the Industrial Accident Compensation Insurance (IACI) from 2010 to 2018, which were coded. We calculated age-standardized suicide mortality rates by gender and occupation. The chi-square test, Fisher's exact test, and t-test were conducted to examine gender differences. Frequency and percentage distribution by gender and occupation were calculated using descriptive statistics.

Regardless of gender, age-standardized suicide mortality rate was highest among "Managers." Women who died by suicide were significantly younger and more likely to be unmarried, live alone, and have fewer years of continuous employment than men. "Managers," "Professionals and Related Workers," and "Clerks" experienced sint conditions among workers who died by suicide. Our study suggests that gender- and occupation-specific strategies and policies to reduce work-related stress can prevent suicide among workers.

Identifying the course of Alzheimer's disease (AD) for individual patients is important for numerous clinical applications. Ideally, prognostic models should provide information about a range of clinical features across the entire disease process. CCT128930 Previously, we published a new comprehensive longitudinal model of AD progression with inputs/outputs covering 11 interconnected clinical measurement domains.

Here, we (1) validate the model on an independent cohort; and (2) demonstrate the model's utility in clinical applications by projecting changes in 6 of the 11 domains.

Survival and prevalence curves for two representative outcomes-mortality and dependency-generated by the model accurately reproduced the observed curves both overall and for patients subdivided according to risk levels using an independent Cox model.

The new model, validated here, effectively reproduces the observed course of AD from an initial visit assessment, allowing users to project coordinated developments for individual patients of multiple disease features.

The new model, validated here, effectively reproduces the observed course of AD from an initial visit assessment, allowing users to project coordinated developments for individual patients of multiple disease features.The increasing number of available genomes, in combination with advanced genome mining techniques, unveiled a plethora of biosynthetic gene clusters (BGCs) coding for ribosomally synthesized and post-translationally modified peptides (RiPPs). The products of these BGCs often represent an enormous resource for new and bioactive compounds, but frequently, they cannot be readily isolated and remain cryptic. Here, we describe a tunable metabologenomic approach that recruits a synergism of bioinformatics in tandem with isotope- and NMR-guided platform to identify the product of an orphan RiPP gene cluster in the genomes of Nocardia terpenica IFM 0406 and 0706T . The application of this tactic resulted in the discovery of nocathioamides family as a founder of a new class of chimeric lanthipeptides I.

Multiple-breath inert gas washout (MBW) is a sensitive technique to assess lung volumes and ventilation inhomogeneity in infancy. Poor agreement amongst commercially available setups and a lack of transparency in the underlying algorithms for the computation of infant MBW outcomes currently limit the widespread application of MBW as a surveillance tool in early lung disease.

We determined all computational steps in signal processing and the calculation of MBW outcomes in the current infant WBreath/Exhalyzer D setup (Exhalyzer D device, Eco Medics AG; WBreath software version 3.28.0, ndd Medizintechnik AG; Switzerland). We developed a revised WBreath version based on current consensus guidelines and compared outcomes between the current (3.28.0) and revised (3.52.3) WBreath version. We analyzed 60 visits from 40 infants with cystic fibrosis (CF) and 20 healthy controls at 6 weeks and 1 year of age.

Investigation into the algorithms in WBreath 3.28.0 revealed discrepancies from current consensus guidelines, which resulted in a potential overestimation of functional residual capacity (FRC) and underestimation of lung clearance index (LCI).