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Existing research has documented that status-seeking abounds in world politics. Yet the status hierarchies to which states respond and compete within are notoriously ambiguous and difficult to empirically ascertain. This ambiguity has begotten considerable disagreement among scholars over the nature of international hierarchies. Making a strength out of this slipperiness, this article posits that international status can be studied via the everyday theories of status that governments and their opponents themselves produce and use to interpret their state’s status. Treating these everyday theories as productive of the world they purport to describe, such an approach foregrounds the interpretative agency of domestic groups to develop and maintain “hierarchies of their own making,” which need not be recognized internationally to become crucial for policy legitimation domestically. In order to study such everyday theories’ systematically, the article develops a new meta-linguistic framework for identifying and mapping their use within domestic politics. Via a case study on the Boer War (1899–1902), the article shows how domestic battles over what international status is can shape domestic politics and policy outcomes.

Climate change threatens the health and survival of urban trees and the various benefits they deliver to urban inhabitants. Here, we show that 56% and 65% of species in 164 cities across 78 countries are currently exceeding temperature and precipitation conditions experienced in their geographic range, respectively. We assessed 3,129 tree and shrub species, using three metrics related to climate vulnerability: exposure, safety margin and risk. By 2050 under Representative Concentration Pathway 6.0, 2,387 (76%) and 2,220 (70%) species will be at risk from projected changes in mean annual temperature and annual precipitation, respectively. Risk is predicted to be greatest in cities at low latitudes—such as New Delhi and Singapore—where all urban tree species are vulnerable to climate change. These findings aid the evaluation of the impacts of climate change to secure long-term benefits provided by urban forests.Assessing 3,129 species of trees and shrubs found in 164 global urban areas shows that over half of the species currently experience non-ideal climates. They project increases in risk due to climate change by 2050 and highlight cities where all species are at risk.

This follows weeks of increasingly angry exchanges between [Donald Rumsfeld] and Germany, in which at one point he taunted Germany and France for being an irrelevant part of 'old Europe'. Rumsfeld and his staff have made no attempt to hide their fury at Schroder's 'treachery and ineptitude' over Iraq. Last week [Gerhard Schroder] leaked to reporters a Franco-German plan for avoiding war by increasing the number of UN weapons inspectors before informing his American counterparts. 'After this, Germany is finished as a serious power,' one of the sources added. 'This is simply not the way to conduct diplomacy at a moment of international crisis.' One diplomatic source said Rumsfeld was 'furious at Germany. He is a bruiser and it looks as though he means to do it'.

AMERICA is to punish Germany for leading international opposition to a war against Iraq. The US will withdraw all its troops and bases from there and end military and industrial co-operation between the two countries - moves that could cost the Germans billions of euros. The plan - discussed by Pentagon officials and military chiefs last week on the orders of Defence Secretary Donald Rumsfeld - is designed 'to harm' the German economy to make an example of the country for what US hawks see as Chancellor Gerhard Schroder's 'treachery'. Rumsfeld and his staff have made no attempt to hide their fury at Schroder's 'treachery and ineptitude' over Iraq. Last week Schroder leaked to reporters a Franco-German plan for avoiding war by increasing the number of UN weapons inspectors before informing his American counterparts.

To present an overview of a series of studies in which the clinical validity of the National Institutes of Health's Patient Reported Outcome Measurement Information System (NIH; PROMIS) measures was evaluated, by domain, across six clinical populations. Approximately 1,500 individuals at baseline and 1,300 at follow-up completed PROMIS measures. The analyses reported in this issue were conducted post hoc, pooling data across six previous studies, and accommodating the different designs of the six, within-condition, parent studies. Changes in T-scores, standardized response means, and effect sizes were calculated in each study. When a parent study design allowed, known groups validity was calculated using a linear mixed model. The results provide substantial support for the clinical validity of nine PROMIS measures in a range of chronic conditions. The cross-condition focus of the analyses provided a unique and multifaceted perspective on how PROMIS measures function in “real-world” clinical settings and provides external anchors that can support comparative effectiveness research. The current body of clinical validity evidence for the nine PROMIS measures indicates the success of NIH PROMIS in developing measures that are effective across a range of chronic conditions.

To conduct a longitudinal evaluation of Patient-Reported Outcomes Measurement Information System (PROMIS) social function measures (satisfaction with participation in social roles and satisfaction with participation in discretionary social activities) in English-speaking people with chronic health conditions. Adults receiving treatment for chronic heart failure (CHF), chronic obstructive pulmonary disease (COPD), chronic back pain, or depression completed PROMIS computer-based measures of social health at two time points approximately 3 months apart and global ratings of change. Linear mixed effects models and standardized response means were estimated for the two social function measures. A total of 599 people participated: 79 with stable COPD, 46 COPD exacerbation, 60 with CHF, 196 with depression, and 218 with back pain. Four groups experienced improvement over time, one (COPD stable) changed very little. Those who reported better global ratings of change in overall health experienced larger changes in social function than those who reported the same or worse global health. This study provided support for responsiveness to change for two PROMIS social function measures. These results provide further evidence of the PROMIS goal to enable comparable measurement of universally relevant symptoms and experiences that apply to people with a variety of diseases.

A well-functioning placenta is essential for fetal and maternal health throughout pregnancy. Using placental weight as a proxy for placental growth, we report genome-wide association analyses in the fetal ( n  = 65,405), maternal ( n  = 61,228) and paternal ( n  = 52,392) genomes, yielding 40 independent association signals. Twenty-six signals are classified as fetal, four maternal and three fetal and maternal. A maternal parent-of-origin effect is seen near KCNQ1 . Genetic correlation and colocalization analyses reveal overlap with birth weight genetics, but 12 loci are classified as predominantly or only affecting placental weight, with connections to placental development and morphology, and transport of antibodies and amino acids. Mendelian randomization analyses indicate that fetal genetically mediated higher placental weight is causally associated with preeclampsia risk and shorter gestational duration. Moreover, these analyses support the role of fetal insulin in regulating placental weight, providing a key link between fetal and placental growth. Genome-wide analyses using fetal and parental genotypes identify 40 independent associations influencing placental weight and highlight the role of the fetus in preeclampsia risk and placental growth regulation via insulin signaling.

cGMP-dependent protein kinase I-α (PKG1α) is a target for pulmonary arterial hypertension due to its role in the regulation of smooth muscle function. While most work has focused on regulation of cGMP turnover, we recently described several small molecule tool compounds which were capable of activating PKG1α via a cGMP independent pathway. Selected molecules were crystallized in the presence of PKG1α and were found to bind to an allosteric site proximal to the low-affinity nucleotide binding domain. These molecules act to displace the switch helix and cause activation of PKG1α representing a new mechanism for the activation and control of this critical therapeutic path. The described structures are vital to understanding the function and control of this key regulatory pathway. Structural characterization and modeling of cGMP‐dependent protein kinase I‐α (PKG1α) with a small molecule activator suggest the activation mechanism for the PKG1α homodimer.

Introduction While there is an interest in defining longitudinal change in people with chronic illness like Parkinson’s disease (PD), statistical analysis of longitudinal data is not straightforward for clinical researchers. Here, we aim to demonstrate how the choice of statistical method may influence research outcomes, (e.g., progression in apathy), specifically the size of longitudinal effect estimates, in a cohort. Methods In this retrospective longitudinal analysis of 802 people with typical Parkinson’s disease in the Luxembourg Parkinson's study, we compared the mean apathy scores at visit 1 and visit 8 by means of the paired two-sided t-test. Additionally, we analysed the relationship between the visit numbers and the apathy score using linear regression and longitudinal two-level mixed effects models. Results Mixed effects models were the only method able to detect progression of apathy over time. While the effects estimated for the group comparison and the linear regression were smaller with high p -values (+ 1.016/ 7 years, p  = 0.107, -0.056/ 7 years, p  = 0.897, respectively), effect estimates for the mixed effects models were positive with a very small p -value, indicating a significant increase in apathy symptoms by + 2.345/ 7 years ( p  < 0.001). Conclusion The inappropriate use of paired t-tests and linear regression to analyse longitudinal data can lead to underpowered analyses and an underestimation of longitudinal change. While mixed effects models are not without limitations and need to be altered to model the time sequence between the exposure and the outcome, they are worth considering for longitudinal data analyses. In case this is not possible, limitations of the analytical approach need to be discussed and taken into account in the interpretation.

Parkinson’s disease (PD) presents diverse symptoms and comorbidities, complicating its diagnosis and management. The primary objective of this cross-sectional, monocentric study was to assess digital gait sensor data’s utility for monitoring and diagnosis of motor and gait impairment in PD. As a secondary objective, for the more challenging tasks of detecting comorbidities, non-motor outcomes, and disease progression subgroups, we evaluated for the first time the integration of digital markers with metabolomics and clinical data. Using shoe-attached digital sensors, we collected gait measurements from 162 patients and 129 controls in a single visit. Machine learning models showed significant diagnostic power, with AUC scores of 83–92% for PD vs. control and up to 75% for motor severity classification. Integrating gait data with metabolomics and clinical data improved predictions for challenging-to-detect comorbidities such as hallucinations. Overall, this approach using digital biomarkers and multimodal data integration can assist in objective disease monitoring, diagnosis, and comorbidity detection.