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Scholars have called to study how social cohesion is discursively negotiated and produced in communication behavior. However, empirical evidence remains scarce. In this study, we investigate to what extent and how civil society organizations (CSOs), part of the backbone of social integration in modern democracies, make references to social cohesion in their public self-portrayals. We develop a standardized measure for content analyzing the manifestation of social cohesion along three theoretical dimensions: social relations, connectedness, and orientation towards the common good. We apply our innovative content measure to the external communication of an original sample of nearly 800 CSOs in Germany, using their websites. Subsequently, we use data from an accompanying organizational survey of these institutions to investigate whether and how certain organizational features help explain variance in social cohesion rhetoric. Findings suggest that CSOs' external communications employ themes from all key dimensions of social cohesion, revealing a fair amount of variation on all three subdimensions and a summary index of the overall strength social cohesion rhetoric. These different emphases are contingent upon various organizational characteristics, namely the spheres in which CSOs are primarily active, their locations, and their target groups. Whereas culturally and media-oriented organizations as well as sports clubs are largely reluctant to make references to social cohesion, politically active CSOs and those addressing socially disadvantaged communities tend to push more in this direction. The latter tend to operate in more professionalized structures, indicating that referencing social cohesion legitimizes these groups' political and social purposes in the public sphere. [ABSTRACT FROM AUTHOR]

Background: Critical infrastructure (CRITIS) in hospitals has become the focus of resilience research due to the impact of the COVID-19 pandemic and also the events in Ukraine. This foundational research examines overall contexts, categorizing and quantifying them. Previous research examined limited scale damage situations with little CRITIS involvement: Worst case studies are missing. The vulnerabilities of the CRITIS of one or more countries will likewise be a prime target for attack in current and future conflicts or criminal extortion, this is especially true in the healthcare sector. Therefore, detailed research with a black swan scenario is necessary in this field. Objective: The aim of the study was to create and validate a categorized and weighted model for the self-assessment of the resilience of critical infrastructure in German hospitals at different levels of care before the exemplary scenario of a prolonged supraregional power blackout. Material and methods: Using an explorative design, experts from 8 hospitals of different care levels performed an expert-based qualitative system analysis to develop, weight and test the model. The resilience index was then calculated using adapted interdependence analyses in a Vester influence matrix. Results: A total of 7 categories and 24 subcategories of hospital CRITIS were identified. There are several key elements: rank 1 of active elements is the emergency power system (E1), and for passive elements, it is the nursing staff (P2). This means that the emergency power system has the greatest impact on all other areas and the nursing staff are most dependent on all others for their work. The most critical elements, because they are most intertwined in the overall system, are the situation center/command staff (Z1) and technical staff (P3), on which the entire system depends. From the weighted individual elements of CRITIS, an overall resilience for a hospital can be calculated (resilience index). The developed model can be used by hospital crisis experts as part of a self-assessment to provide a basis for risk management, financial planning, technical planning, personnel planning or crisis and disaster management. Conclusion: The categorization and quantification of critical infrastructure (CRITIS) in hospitals with the aim of resilience documentation and optimization is possible. The model that has been developed allows rapid adaptation to changing initial situations and increases in resilience that can be realized in the short and medium term. Emergency and crisis preparedness is a dynamic process, which has been combined here with the further development of critical infrastructure. Consequently, there can be no final state to be achieved but only a certain best possible framework within which the hospital as a business enterprise can operate. The classification of the categories in the model must also be constantly further developed and adapted to the current status. Once the explorative and qualitative basic research has been completed, it is necessary in a further step to subject the model, which has been validated by experts, to a broader review. Ideally, this will be done using quantitative methods and a significantly larger sample. [ABSTRACT FROM AUTHOR]

The sampling adjustment factor (SAF) can correct the underestimation of fixed time interval maxima (F-Maxima) relative to maxima of moving time windows (M-Maxima) as a direct consequence of temporal discretization of time series. Radar data can help to understand the significance of using moving window aggregation rather than fixed window. Here, we investigate SAFs for two gridded radar quantitative precipitation estimates from the German Meteorological Service (RADKLIM-RW and RADKLIM-YW, DWD 2018) with different temporal resolutions (5 min and hourly) and a spatial resolution of 1 km × 1 km from 2001 to 2016. For each grid cell's time series within Germany, the overall maximum intensities per chosen duration were derived with (1) moving and (2) fixed window aggregation. Correction factors (SAF) from fixed to moving window were retrieved. The findings of this study partly match previous findings, more for the 5-min product than for the hourly product. No clear dependency on topography or season could be derived from the analysis. It showed that high SAF are usually related to high(er) actual rainfall values. The study emphasises the probabilistic nature of the rainfall maxima correction and shows that it is important to not only consider average SAFs, but also take an in-depth look at the distribution when correcting maxima. As a consequence, design precipitation as used, e.g., in context of flash or urban floods could profit from spatially adjusted or uniform scaling, depending on the characteristics found in the spatial distribution of the SAFs. [ABSTRACT FROM AUTHOR]

Purpose: The aim of the current study is to assess, using new technologies, the interaction of four monthly silicone hydrogel contact lenses on the ocular surface and the comfort over 15 days of use.Methods: Prospective cross-over, randomized and double-masked study including four materials (lotrafilcon-B, samfilcon-A , comfilcon-A and filcom-V3). Clinical examination was performed in the following order: tear meniscus height, first break-up of the tear film, the average time of all tear film breakup incidents, bulbar redness, limbal redness (Keratograph 5M ,Oculus, Germany); central corneal thickness (Pentacam, Oculus, Germany), thermography values (FLIR A325; FLIR Systems Inc., USA), and slit-lamp evaluations, including ocular surface staining. Finally, subjective comfort was obtained from Contact Lens Dry Eye Questionnaire-8.Results: The impact of contact lens wear on the ocular surface didn't show statistically significant changes over time except for corneal and conjunctival staining grades on day 15 compared to day 1 for the comfilcon A group (P = .003 and P = .01, respectively). Contact lens stability and impact on the ocular surface during contact lens wear didn't show statistically significant changes over time except in the case of the comfilcon A material with respect to the irritation item (P = .01).Conclusions: These results suggest that the impact of monthly silicone hydrogel contact lens materials on the ocular surface after and during contact lens wear, contact lens stability over time, and subjective comfort did not reveal any significant changes over 15 days of use for any of the materials. [ABSTRACT FROM AUTHOR]

Forests provide important ecosystem services such as carbon sequestration. Forest landscapes are intrinsically heterogeneous—a problem for biomass and productivity assessment using remote sensing. Forest structure constitutes valuable additional information for the improved estimation of these variables. However, survey of forest structure by remote sensing remains a challenge which results mainly from the differences in forest structure metrics derived by using remote sensing compared to classical structural metrics from field data. To understand these differences, remote sensing measurements were linked with an individual-based forest model. Forest structure was analyzed by lidar remote sensing using metrics for the horizontal and vertical structures. To investigate the role of forest structure for biomass and productivity estimations in temperate forests, 25 lidar metrics of 375,000 simulated forest stands were analyzed. For the lidar-based metrics, top-of-canopy height arose as the best predictor for describing horizontal forest structure. The standard deviation of the vertical foliage profile was the best predictor for the vertical heterogeneity of a forest. Forest structure was also an important factor for the determination of forest biomass and aboveground wood productivity. In particular, horizontal structure was essential for forest biomass estimation. Predicting aboveground wood productivity must take into account both horizontal and vertical structures. In a case study based on these findings, forest structure, biomass and aboveground wood productivity are mapped for whole of Germany. The dominant type of forest in Germany is dense but less vertically structured forest stands. The total biomass of all German forests is 2.3 Gt, and the total aboveground woody productivity is 43 Mt/year. Future remote sensing missions will have the capability to provide information on forest structure (e.g., from lidar or radar). This will lead to more accurate assessments of forest biomass and productivity. These estimations can be used to evaluate forest ecosystems related to climate regulation and biodiversity protection. [ABSTRACT FROM AUTHOR]

The ability to flexibly adapt to deviations from optimal performance is an important aspect of self-control. In the present study, the authors present first evidence that the personality trait action versus state orientation ( Kuhl, 2000) modulates the ability of adaptive control adjustments in response to experienced conflicts. Sixty-two German individuals with extreme scores on the action-state dimension performed a response interference task, that is, 31 extreme action-oriented individuals (30 females; Mage = 20.35 years) and 31 extreme state-oriented individuals (20 females; Mage = 23.23 years), respectively. Action-oriented individuals displayed a stronger conflict adaptation effect as evidenced by a stronger reduction of interference on trials following conflict. These results were further corroborated by a correlational analysis including a sample of 105 participants: the higher the score on the action-state dimension, the lower the interference effect following conflict (i.e., stronger conflict adaptation). The results provide evidence that even low-level, bottom-up-driven processes of self-control such as conflict adaptation are systematically moderated by individual differences in control modes and provide insights into the cognitive mechanisms underlying action versus state orientation. [ABSTRACT FROM AUTHOR]

In agricultural soils, the formation of soil organic matter largely depends on the carbon (C) input by crop residues and rhizodeposition, which is thus of decisive importance for the management and prediction of soil organic carbon (SOC) stocks in cropland and grassland. However, there is a remarkable lack of reliable, crop-specific C input data. We used a plant C allocation approach to estimate the C input of major crops and grassland into agricultural soils of Bavaria in southeast Germany. Historic and recent plant C allocation coefficients were estimated and C inputs were calculated for a 60-year period (1951–2010) using long-term agricultural statistics. The spatial distribution of C inputs within Bavaria was derived from county-specific statistical data. The results revealed increases of the C input by 107–139% for cereals, 173–188% for root, forage and leguminous crops and 34% for grassland in the last 60 years. This increase was related to linear yield increases until 1995 despite significant changes of plant C allocation. However, from 1995 onwards, crop yields and related C inputs stagnated, which allowed a robust estimation of recent crop-specific C input values. A total C input of 3.8–6.7 t ha −1 yr −1 was estimated for cereals, 5.2–6.3 t ha −1 yr −1 for root, forage and leguminous crops and 2.4 t ha −1 yr −1 for grassland. These amounts were partly higher compared to estimations in the literature. A generally high spatial variability of C inputs was detected within Bavaria with differences of up to 40% between adjacent counties. The results of this study could be used to optimize the C input of crop rotations and thus promote the formation of soil organic matter and C sequestration in agricultural soils on the basis of a soil carbon model. Moreover, recent estimations of C inputs could be used to model the future development of agricultural SOC stocks. A further stagnation of crop yields and the related C input under an ongoing temperature increase bears the risk of a future decrease of SOC stocks in cropland soils of Bavaria. [ABSTRACT FROM AUTHOR]

Directed dispersal by animal vectors has been found to have large effects on the structure and dynamics of plant populations adapted to frugivory. Yet, empirical data are lacking on the potential of directed dispersal by rotational grazing of domestic animals to mediate gene flow across the landscape. Here, we investigated the potential effect of large-flock shepherding on landscape-scale genetic structure in the calcareous grassland plant Dianthus carthusianorum, whose seeds lack morphological adaptations to dispersal to animals or wind. We found a significant pattern of genetic structure differentiating population within grazed patches of three nonoverlapping shepherding systems and populations of ungrazed patches. Among ungrazed patches, we found a strong and significant effect of isolation by distance ( r = 0.56). In contrast, genetic distance between grazed patches within the same herding system was unrelated to geographical distance but significantly related to distance along shepherding routes ( r = 0.44). This latter effect of connectivity along shepherding routes suggests that gene flow is spatially restricted occurring mostly between adjacent populations. While this study used nuclear markers that integrate gene flow by pollen and seed, the significant difference in the genetic structure between ungrazed patches and patches connected by large-flock shepherding indicates the potential of directed seed dispersal by sheep across the landscape. [ABSTRACT FROM AUTHOR]

Sequestration of atmospheric carbon (C) in soils through improved management of forest and agricultural land is considered to have high potential for global CO2 mitigation. However, the potential of soils to sequester soil organic carbon ( SOC) in a stable form, which is limited by the stabilization of SOC against microbial mineralization, is largely unknown. In this study, we estimated the C sequestration potential of soils in southeast Germany by calculating the potential SOC saturation of silt and clay particles according to Hassink [ Plant and Soil 191 (1997) 77] on the basis of 516 soil profiles. The determination of the current SOC content of silt and clay fractions for major soil units and land uses allowed an estimation of the C saturation deficit corresponding to the long-term C sequestration potential. The results showed that cropland soils have a low level of C saturation of around 50% and could store considerable amounts of additional SOC. A relatively high C sequestration potential was also determined for grassland soils. In contrast, forest soils had a low C sequestration potential as they were almost C saturated. A high proportion of sites with a high degree of apparent oversaturation revealed that in acidic, coarse-textured soils the relation to silt and clay is not suitable to estimate the stable C saturation. A strong correlation of the C saturation deficit with temperature and precipitation allowed a spatial estimation of the C sequestration potential for Bavaria. In total, about 395 Mt CO2-equivalents could theoretically be stored in A horizons of cultivated soils - four times the annual emission of greenhouse gases in Bavaria. Although achieving the entire estimated C storage capacity is unrealistic, improved management of cultivated land could contribute significantly to CO2 mitigation. Moreover, increasing SOC stocks have additional benefits with respect to enhanced soil fertility and agricultural productivity. [ABSTRACT FROM AUTHOR]

Highlights: [•] Drivers and distribution of agricultural SOC and N stocks of Bavaria were analyzed. [•] SOC differences between cropland and grassland are related to subsoil C. [•] Soil moisture controls SOC and N, temperature/precipitation are of minor importance. [•] Cropland and grassland soils in Bavaria store 242 and 134Mt SOC and 19 and 12Mt N. [•] For C sequestration soil types and topography are more important than land use. [Copyright &y& Elsevier]

The article discusses the impact of repeated sprint training (RST) and high-intensity interval (HIIT) including on aerobic fitness, jumping ability, and tennis playing endurance. An overview of the result of the training strategies which do not provide significant effect on jumping and sprinting abilities is provided. It explores the monitoring of several factors in HIIT including the maximum oxygen uptake, heart rate (HR) values, and the work-to-rest ratios.

The article reports on a June 2010 conference at the Institute for College Research at Martin Luther University in Halle-Wittenberg, Germany, on the topic "Federalism and Colleges. On New Competencies and Old Systems." Among the topics discussed were the effects of the German federalism reforms of 2006 on higher education, the laws and politics governing German colleges, and competition among and differentiation of colleges.

• Fog deposition rises with altitude. • Annual sum of fog deposition varies a lot between a stand and a catchment. • The fog deposition altitude relation is different for each mountain. • No temporal trend was found in the fog deposition over the last 70 years. Fog deposition depends strongly on location and orographic setting. Even if the absolute amount can be small at some locations, it could play a decisive role. This is also true for Germany. In the lowlands, the annual amount of fog precipitation is in the range of a few mm per year, in the higher altitudes of the low mountain ranges a few hundred mm per year. In this article, we estimated the fog deposition based on the REAL-Fog model for Germany at daily time steps and one kilometre spatial resolution for a 70-year period for the years 1949 to 2018. These results were compared with another fog deposition modelling approach, station measurements and water balance modelling for different catchments in our study region. Comparing the results gives quite an interesting insight and outlook to the challenges to face in the future. The gridded data of the daily sum of the fog deposition we made available via HydroShare repository. [ABSTRACT FROM AUTHOR]

Background: The coronavirus disease 2019 (COVID-19) pandemic is driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which has led to an enormous burden on patient morbidity and mortality. The renin–angiotensin–aldosterone system (RAAS) plays a significant role in various pulmonary diseases. Since SARS-CoV-2 utilizes the angiotensin-converting enzyme (ACE)2 receptor to exert its virulence and pathogenicity, the RAAS is of particular importance in COVID 19. Methods: Our preliminary study investigates retrospectively the influence of selected ACE-polymorphisms (I/D location at intron 16 in the B-coding sequence (rs4646994) and A-240T (rs 4291) at the A-promoter) as well as ACE1 and ACE2 serum levels on disease severity and the inflammatory response in inpatients and outpatients with COVID-19. Results: Our study included 96 outpatients and 88 inpatients (65.9% male, mean age 60 years) with COVID-19 from April to December 2020 in four locations in Germany. Of the hospitalized patients, 88.6% participants were moderately ill (n = 78, 64% male, median age 60 years), and 11.4% participants were severely ill or deceased (n = 10, 90% male, median age 71 years). We found no polymorphism-related difference in disease, in age distribution, time to hospitalization and time of hospitalization for the inpatient group. ACE1 serum levels were significantly increased in the DD compared to the II polymorphism and in the TT compared to the AA polymorphism. There was no significant difference in ACE 1 serum levels l between moderately ill and severely ill patients. However, participants requiring oxygen supplementation had significantly elevated ACE1 levels compared to participants not requiring oxygen, with no difference in ACE2 levels whereas females had significantly higher ACE2 levels. Conclusions: Although there were no differences in the distribution of ACE polymorphisms in disease severity, we found increased proinflammatory regulation of the RAAS in patients with oxygen demand and increased serum ACE2 levels in women, indicating a possible enhanced anti-inflammatory immune response. Clinical trial registration: PreBiSeCov: German Clinical Trials Register, DRKS-ID: DRKS00021591, Registered on 27th April 2020. [ABSTRACT FROM AUTHOR]

Purpose: In spine care, frailty is associated with poor outcomes. The aim of this study was to describe changes in frailty in spine care during the coronavirus disease 2019 (COVID-19) pandemic and their relation to surgical management and outcomes. Methods: Patients hospitalized for spine pathologies between January 1, 2019, and May 17, 2022, within a nationwide network of 76 hospitals in Germany were retrospectively included. Patient frailty, types of surgery, and in-hospital mortality rates were compared between pandemic and pre-pandemic periods. Results: Of the 223,418 included patients with spine pathologies, 151,766 were admitted during the pandemic and 71,652 during corresponding pre-pandemic periods in 2019. During the pandemic, the proportion of high-frailty patients increased from a range of 5.1–6.1% to 6.5–8.8% (p < 0.01), while the proportion of low frailty patients decreased from a range of 70.5–71.4% to 65.5–70.1% (p < 0.01). In most phases of the pandemic, the Elixhauser comorbidity index (ECI) showed larger increases among high compared to low frailty patients (by 0.2–1.8 vs. 0.2–0.8 [p < 0.01]). Changes in rates of spine surgery were associated with frailty, most clearly in rates of spine fusion, showing consistent increases among low frailty patients (by 2.2–2.5%) versus decreases (by 0.3–0.8%) among high-frailty patients (p < 0.02). Changes in rates of in-hospital mortality were not associated with frailty. Conclusions: During the COVID-19 pandemic, the proportion of high-frailty patients increased among those hospitalized for spine pathologies in Germany. Low frailty was associated with a rise in rates of spine surgery and high frailty with comparably larger increases in rates of comorbidities. [ABSTRACT FROM AUTHOR]

Often detailed point information from future climate projections is needed for hydrological and other impact models. Therefore, two problems must be solved, first the bias correction is needed for the unbiased application of projected data and second the general scale gap between gridded model data and pointwise observation data has to be taken into account. The latter is often ignored, but contributes systematically to the model bias as model output is often referring to mean values or budget closing on grid level, while measurements are typically point measurements by nature. We present an approach, which solves the aforementioned problems by applying a parametric quantile mapping (QM) with a special focus on extremes in precipitation. We selected 16 model combinations of the multi-model ensemble matrix of the projects Euro-Cordex (Coordinated Downscaling Experiment – European Domain) and ReKliEs-De (Regional climate projections ensemble for Germany) as climate projections. Since the study area is the Free State of Saxony in Germany, 17 observation stations from the reference dataset by ReKIS (Referenzdatensatz V1.0 (10/2017), Regional climate information system – www.rekis.org) are used as the observation dataset. We fitted two parametric distribution functions with the maximum likelihood method to datasets of various situations (i.e. seasons, stations and model combinations). First, the often used Gamma distribution is fitted to the datasets. Second, a dynamical mixed Gamma and generalized Pareto distribution is fitted, to be able to describe the extremes more in detail. The different correction functions are generated to correct the bias between gridded model data and pointwise observation data. A cross-validation is carried out to evaluate the performance of the different fitted distributions. Therefore, 10 years from 1971-2015 are picked randomly as validation period and the remaining years are used for the calibration of the fitting process. This procedure is repeated 30 times for each single situation. Subsequently, the Akaike information criterion (AIC) and the Cramér-von Mises criterion (CvM) are calculated as skill scores to select the most appropriate distribution for each situation. However, the analysis of the skill scores shows different pattern of the chosen distributions, the AIC and CvM often suggest different distributions. Hence, to analyse which skill score delivers the better bias corrected model data, both skill score decisions are used to correct the model dataset for each situation to generate two corrected model datasets for the period 1971-2015. The final evaluation is performed by a comparison of quantile-quantile plots of the two corrected model datasets with respect to the observation data. The analysis shows that both distributions have their entitlement and that more reliable results can be generated, if not only one distribution is prescribed for each situation. [ABSTRACT FROM AUTHOR]

Precipitation usually exhibits scale-invariant behaviour on a large range of temporal and spatial scales which has been explained physically as well as empirically in many studies. Here, we investigate intensity-duration relationships from radar data for Germany from 2001 to 2016. A newly released radar composite product from the German Meteorological Service (Radolan-YW, DWD 2018) with a resolution of 5 minutes and 1x1 km² was used for the analysis. After a conversion of the whole raster data set into time series, the maximum intensities per duration were derived with 1) moving window, 2) fixed window, and 3) interpolated fixed window aggregation. Out of the data set, the maximum and percentiles of maximums were plotted against their duration and compared with existing theoretical as well as empirical relationships from point observations. The results show unexpected scale breaks after around 1 hour, which suggests a non-consistent scaling behaviour of the radar data. This implies a careful usage of the data set in context of extreme value statistics as well as its application. [ABSTRACT FROM AUTHOR]

Since the introduction of widely available e-scooter rentals in Hamburg, Germany in June of 2019, our emergency department has seen a sharp increase in the amount of e-scooter related injuries. Despite a rising number of studies certain aspects of e-scooter mobility remain unclear. This study examines the various aspects of e-scooter associated injuries with one of the largest cohorts to date. Electronic patient records of emergency department admissions were screened for e-scooter associated injuries between June 2019 and December 2021. Patient demographic data, mechanism of injury, alcohol consumption, helmet usage, sustained injuries and utilized medical resources were recorded. Overall, 268 patients (57% male) with a median age of 30.3 years (IQR 23.3; 40.0) were included. 252 (94%) were e-scooter riders themselves, while 16 (6%) were involved in crashes associated with an e-scooter. Patients in non-rider e-scooter crashes were either cyclists who collided with e-scooter riders or older pedestrians (median age 61.2 years) who tripped over parked e-scooters. While e-scooter riders involved in a crash sustained an impact to the head or face in 58% of cases, those under the influence of alcohol fell on their head or face in 84% of cases. This resulted in a large amount of maxillofacial soft tissue lacerations and fractures. Extremity fractures and dislocations were more often recorded for the upper extremities. This study comprises one of the largest cohorts of e-scooter associated injuries to date. Older pedestrians are at risk to stumble over parked e-scooters. E-scooter crashes with riders who consumed alcohol were associated with more severe injuries, especially to the head and face. Restricted e-scooter parking, enforcement of drunk driving laws for e-scooters, and helmet usage should be recommended. [ABSTRACT FROM AUTHOR]

• Investigation of the effects of multi-year droughts on the biomass and productivity of forests in Germany. • Integration of the national forest inventory into an individual-based forest model. • Simulations reveal strong reduction of biomass as a result of multi-year droughts. • Monocultures and even-aged forests more sensitive to drought then mixed forests. Forests play a crucial role in climate regulation and societal well-being. Despite their significance, the increasing frequency of droughts poses a severe threat to forest ecosystems, impacting carbon sequestration and forest stability. In Germany, the unprecedented 2018–2020 drought resulted in extensive tree mortality and damaged wood volume, with lasting effects observed in subsequent years. As climate models project a continuation of such droughts, understanding the impact of droughts on forests becomes imperative. However, it is unclear how forests will evolve in the future if the drought duration continues to increase. This study employs a forest model to analyze the impact of droughts across various German forest types, focusing on the duration of drought periods and their influence on forest productivity. By utilizing an individual-based forest growth model and national forest inventories, the study addresses critical knowledge gaps regarding the effects of multi-year droughts on biomass and productivity across various forest types, including monocultures and mixed forests. The simulations consider a drought-induced large increase in tree mortality caused by factors such as pest infestations and diseases across Germany. Our simulation results reveal a declining aboveground biomass and gross primary production (GPP) for all simulated drought scenarios, including the three- and six-year drought. GPP is reduced by 46 % in the 3-year drought scenario and by 58 % in the 6-year drought scenario. Notably, prolonged droughts lead to cumulative losses, with a saturation effect in drought scenarios exceeding eight years. Forest stand composition influences these impacts, with greater GPP losses in low-biomass stands. Furthermore, different forest types exhibit varying responses. Monocultures and even-sized forests (mostly planted and managed forests) are more sensitive to drought than mixed and uneven-sized forests. The results provide valuable insights into forest resilience and ecosystem responses to increasingly frequent and prolonged droughts, highlighting the importance of understanding the effects of drought on monocultures and mixed forests to inform future forest management strategies. Modelling the influence of biotic factors on forest dynamics in a process-based manner remains a challenge that requires future research. [ABSTRACT FROM AUTHOR]

The new spalacotheriid "symmetrodontan" Cifellitherium suderlandicum gen. et sp. nov. from the Barremian-Aptian of the Balve locality in northwestern Germany is the first record of spalacotheriids in Central Europe. The new taxon is based on one lower and two upper molars. Cifellitherium is similar to Spalacotherium, but differs by smaller stylocone and larger paraststyle on the upper molars, and a labially interrupted cingulid on the lower molar. The new dryolestid Minutolestes submersus gen. et sp. nov. is based on one lower and two upper molars of small size. Phylogenetic analysis revealed it as sister taxon of the clade comprising Laolestes, Krebsotherium, Dryolestes, and Guimarotodus. A dryolestid mandible with unevenly rooted molars and extremely worn down teeth cannot be attributed to Minutolestes submersus gen. et sp. nov. due to possessing molars twice as large in size. The mandible is assigned to a new dryolestid taxon, Beckumia sinemeckelia gen. et sp. nov., and has the dental formula 3i, 1c, 4p, 8m and a fully reduced Meckel's groove. The mandible lacks any trace of a coronoid or splenial. In the phylogenetic analysis, it appears as sister taxon of a clade comprising Achyrodon, Phascolestes, Crusafontia, and Hercynodon. The new mammals are the stratigraphically youngest European representatives of their clades. The late survival of Beckumia sinemeckelia gen. et sp. nov. and Minutolestes submersus gen. et sp. nov. is possibly the result of isolated evolution in an Early Cretaceous island environment. This finding of new spalacotheriid and dryolestid mammals from Central Europe adds to an emerging paleobiogeographic pattern that Europe was distinct from Asia in the constituents of mammalian faunas during the Barremian-Aptian. [ABSTRACT FROM AUTHOR]

The new spalacotheriid "symmetrodontan" Cifellitherium suderlandicum gen. et sp. nov. from the Barremian-Aptian of the Balve locality in northwestern Germany is the first record of spalacotheriids in Central Europe. The new taxon is based on one lower and two upper molars. Cifellitherium is similar to Spalacotherium, but differs by smaller stylocone and larger paraststyle on the upper molars, and a labially interrupted cingulid on the lower molar. The new dryolestid Minutolestes submersus gen. et sp. nov. is based on one lower and two upper molars of small size. Phylogenetic analysis revealed it as sister taxon of the clade comprising Laolestes, Krebsotherium, Dryolestes, and Guimarotodus. A dryolestid mandible with unevenly rooted molars and extremely worn down teeth cannot be attributed to Minutolestes submersus gen. et sp. nov. due to possessing molars twice as large in size. The mandible is assigned to a new dryolestid taxon, Beckumia sinemeckelia gen. et sp. nov., and has the dental formula 3i, 1c, 4p, 8m and a fully reduced Meckel's groove. The mandible lacks any trace of a coronoid or splenial. In the phylogenetic analysis, it appears as sister taxon of a clade comprising Achyrodon, Phascolestes, Crusafontia, and Hercynodon. The new mammals are the stratigraphically youngest European representatives of their clades. The late survival of Beckumia sinemeckelia gen. et sp. nov. and Minutolestes submersus gen. et sp. nov. is possibly the result of isolated evolution in an Early Cretaceous island environment. This finding of new spalacotheriid and dryolestid mammals from Central Europe adds to an emerging paleobiogeographic pattern that Europe was distinct from Asia in the constituents of mammalian faunas during the Barremian-Aptian. [ABSTRACT FROM AUTHOR]

In some catchments, especially in low mountain ranges, fog deposition can make a considerable contribution to the water budget. Yet, fog deposition is usually not measured, hence gaps between observed and expected discharge in the water balance of these catchments arise. These gaps are ignored, or either corrected by calibration, like by decreasing the evaporation or corrected with general approaches like an additional fog water input depending on the elevation.We present an approach, which is capable to estimate physically justified the fog deposition in dependence on the vegetation. The method requires only limited data and meteorological standard measurements are used. The calculations are done on a spatial basis and have been performed for Germany. First, liquid water content (lwc) at ground level is derived and interpolated to grid cells. The temporal resolution of the lwc-product is 1 hour and the spatial resolution 1 kilometre per grid cell. Second, deposition velocities based on measurements are determined for the study area. Last, the fog deposition can be estimated from the lwc-product, the deposition velocity and the actual vegetation properties (i.e. height of vegetation, Leaf Area Index).Depending on the catchment area, the additional precipitation input due to fog precipitation contributes up to 50 % to the annual precipitation. This is a considerable portion of the overall input and needs to be discussed, in order to avoid misleading effects of water budget model calibration in mountain ranges. [ABSTRACT FROM AUTHOR]

The present study involved 120 kindergartners, of whom n = 60 were followed up to first grade. Upon making inquiries regarding closeness in teacher-child relationships in the classrooms, the children participated in a laboratory situation in which they were exposed to computerized tasks. These tasks challenged the cognitive processes thought to govern basic knowledge and belief systems. Before each task commenced, however, the image of the child's teacher (affective prime stimulus), with whom the relationship had been measured, was displayed for an experimental group of children. In contrast to a control group being exposed to a neutral prime, it was assumed that the teachers' images displayed in the experimental group would affect cognitive performance in a defined way (i.e., if primed by a person schema of a close relationship, these children should perform better than the rest). Whereas solving scores remained unaffected, children displayed shorter solving times under affective primes when in close relationships with their teachers. This effect could even be evidenced after the transition to school. Results suggest that cognitive processing is much more effective if close teacher-child relationships are involved. [ABSTRACT FROM AUTHOR]

Background: The problem of identifying idiopathic dilated cardiomyopathy (IDC) patients who are at risk of sudden death is still unsolved. The presence of autonomic imbalance in patients with IDC might predict sudden death and tachyarrhythmic events. The aim of this study was to analyze the suitability of blood pressure variability (BPV) compared to heart rate variability (HRV) for noninvasive risk stratification in IDC patients. Methods: Continuous noninvasive blood pressure and high-resolution electrocardiogram were recorded from 91 IDC patients for 30 minutes. During a median follow-up period of 28 months (range: [17-38] months), 14 patients died due to sudden death or necessary resuscitation due to a life-threatening arrhythmia. HRV and BPV analyses were performed in time domain, frequency domain, and nonlinear dynamics. Using the Mann-Whitney U test and Cox regression, we estimated the accuracy of clinical and nonclinical parameters in discriminating high-risk from low-risk patients. Results: Dynamics of blood pressure regulation was significantly changed in high-risk patients, indicating an increased BPV. BPV indexes from nonlinear symbolic dynamics revealed significant univariate (sensitivity: 85.7%; specificity 77.9%; area under receiver-operator characteristics [ROC] curve: 87.8%) differences. In an optimum multivariate set consisting of two clinical indexes (left ventricular end-diastolic diameter, New York Heart Association) and one nonlinear index (symbolic dynamics), highly significant differences between low- and high-risk IDC groups were estimated (sensitivity of 92.9%, specificity of 86.5%, and area under ROC curve of 95.3%). Conclusion: Diastolic BPV indexes, especially those from symbolic dynamics, appear to be useful for risk stratification of sudden death in patients with IDC. [ABSTRACT FROM AUTHOR]

Objective: In German inpatient psychosomatics per diem lump sums will be introduced as reimbursement rates by 2013. It was the aim to calculate total inpatient costs per case for the psychosomatic treatment of patients with anorexia nervosa and to identify cost predictors. Method: The sample comprised of 127 inpatients. Cost calculation was executed from the hospital's perspective, mainly using microcosting. Medical records provided data on patient characteristics and individual resource use. Two generalized linear models with gamma distribution and log link function were estimated to determine cost predictors by means of demographic data, comorbidities, and body-mass-index at admission. Results: Inpatient costs amounted to 4,647 €/6,831 US$ per case (standard deviation 3,714 €/5,460 US$).The admission BMI and 'Disorders of Adult Personality and Behavior' were significant cost predictors ( p < 0.05). Discussion: The formation of patient groups within the diagnosis anorexia nervosa should be oriented towards the determined cost predictors. © 2011 by Wiley Periodicals, Inc. (Int J Eat Disord 2012) [ABSTRACT FROM AUTHOR]