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Abstract This article discusses the structure and argumentative style of the Indisch Tijdschrift van het Recht (hereafter ITR or Tijdschrift) (1915-1947), one of the primary sources for scholarly investigations of late colonial law in the Dutch East Indies. I argue that a 'reading along the grain' and problematization of its peculiar types of knowledge-making can help give texture to academic analyses of colonial law. This article zooms in on the structure of the Tijdschrift's case-reporting and legal commentaries to contextualize it within historical debates of law and investigate the role it played in reorganizing the colonial economy. I argue that the Tijdschrift allowed colonial scholars, judges, and administrators to portray law as an objective, neutral framework for the containment of everyday life and local adat. However, detailed analysis also highlights the epistemic anxieties of Dutch colonial legalists about the efficiency of legal methods. Both these issues should be considered when referencing the Tijdschrift as a scholarly source.

This article discusses the structure and argumentative style of the Indisch Tijdschrift van het Recht (hereafter ITR or Tijdschrift) (1915–1947), one of the primary sources for scholarly investigations of late colonial law in the Dutch East Indies. I argue that a ‘reading along the grain’ and problematization of its peculiar types of knowledge-making can help give texture to academic analyses of colonial law. This article zooms in on the structure of the Tijdschrift’s case-reporting and legal commentaries to contextualize it within historical debates of law and investigate the role it played in reorganizing the colonial economy. I argue that the Tijdschrift allowed colonial scholars, judges, and administrators to portray law as an objective, neutral framework for the containment of everyday life and local adat. However, detailed analysis also highlights the epistemic anxieties of Dutch colonial legalists about the efficiency of legal methods. Both these issues should be considered when referencing the Tijdschrift as a scholarly source.

The human papillomavirus minor capsid protein L2 is being extensively explored in pre-clinical studies as an attractive vaccine antigen capable of inducing broad-spectrum prophylactic antibody responses. Recently, we have developed two HPV vaccine antigens – PANHPVAX and CUT-PANHPVAX- both based on heptameric nanoparticle antigens displaying polytopes of the L2 major cross-neutralizing epitopes of eight mucosal and twelve cutaneous HPV types, respectively. Prompted by the variable neutralizing antibody responses against some of the HPV types targeted by the antigens observed in previous studies, here we investigated the influence on immunogenicity of six distinct glycine-proline spacers inserted upstream to a specific L2 epitope. We show that spacer variants differentially influence antigen immunogenicity in a mouse model, with the antigen constructs M8merV6 and C12merV6 displaying a superior ability in the induction of neutralizing antibodies as determined by pseudovirus-based neutralization assays (PBNAs). L2-peptide enzyme-linked immunosorbent assay (ELISA) assessments determined the total anti-L2 antibody level for each antigen variant, showing for the majority of sera a correlation with their repective neutralizing antibody level. Surface Plasmon Resonance revealed that L2 epitope-specific, neutralizing monoclonal antibodies (mAbs) display distinct avidities to different antigen spacer variants. Furthermore, mAb affinity toward individual spacer variants was well correlated with their neutralizing antibody induction capacity, indicating that the mAb affinity assay predicts L2-based antigen immunogenicity. These observations provide insights on the development and optimization of L2-based HPV vaccines.

Background Neurologic manifestations are increasingly reported in patients with coronavirus disease 2019 (COVID-19). Yet, data on prevalence, predictors and relevance for outcome of neurological manifestations in patients requiring intensive care are scarce. We aimed to characterize prevalence, risk factors and impact on outcome of neurologic manifestations in critically ill COVID-19 patients. Methods In the prospective, multicenter, observational registry study PANDEMIC (Pooled Analysis of Neurologic DisordErs Manifesting in Intensive care of COVID-19), we enrolled COVID-19 patients with neurologic manifestations admitted to 19 German intensive care units (ICU) between April 2020 and September 2021. We performed descriptive and explorative statistical analyses. Multivariable models were used to investigate factors associated with disorder categories and their underlying diagnoses as well as to identify predictors of outcome. Results Of the 392 patients included in the analysis, 70.7% (277/392) were male and the mean age was 65.3 (SD ± 3.1) years. During the study period, a total of 2681 patients with COVID-19 were treated at the ICUs of 15 participating centers. New neurologic disorders were identified in 350 patients, reported by these centers, suggesting a prevalence of COVID-19-associated neurologic disorders of 12.7% among COVID-19 ICU patients. Encephalopathy (46.2%; 181/392), cerebrovascular (41.0%; 161/392) and neuromuscular disorders (20.4%; 80/392) were the most frequent categories identified. Out of 35 cerebrospinal fluid analyses with reverse transcriptase PCR for SARS-COV-2, only 3 were positive. In-hospital mortality was 36.0% (140/389), and functional outcome (mRS 3 to 5) of surviving patients was poor at hospital discharge in 70.9% (161/227). Intracerebral hemorrhage (OR 6.2, 95% CI 2.5–14.9, p  < 0.001) and acute ischemic stroke (OR 3.9, 95% CI 1.9–8.2, p  < 0.001) were the strongest predictors of poor outcome among the included patients. Conclusions Based on this well-characterized COVID-19 ICU cohort, that comprised 12.7% of all severe ill COVID-19 patients, neurologic manifestations increase mortality and morbidity. Since no reliable evidence of direct viral affection of the nervous system by COVID-19 could be found, these neurologic manifestations may for a great part be indirect para- or postinfectious sequelae of the infection or severe critical illness. Neurologic ICU complications should be actively searched for and treated.

PurposeThis study explores the utility of the large language models, GPT-3 and GPT-4, for in-depth patient education prior to interventional radiology procedures. Further, differences in answer accuracy between the models were assessed.Materials and methodsA total of 133 questions related to three specific interventional radiology procedures (Port implantation, PTA and TACE) covering general information as well as preparation details, risks and complications and post procedural aftercare were compiled. Responses of GPT-3 and GPT-4 were assessed for their accuracy by two board-certified radiologists using a 5-point Likert scale. The performance difference between GPT-3 and GPT-4 was analyzed.ResultsBoth GPT-3 and GPT-4 responded with (5) “completely correct” (4) “very good” answers for the majority of questions ((5) 30.8% + (4) 48.1% for GPT-3 and (5) 35.3% + (4) 47.4% for GPT-4). GPT-3 and GPT-4 provided (3) “acceptable” responses 15.8% and 15.0% of the time, respectively. GPT-3 provided (2) “mostly incorrect” responses in 5.3% of instances, while GPT-4 had a lower rate of such occurrences, at just 2.3%. No response was identified as potentially harmful. GPT-4 was found to give significantly more accurate responses than GPT-3 (p = 0.043).ConclusionGPT-3 and GPT-4 emerge as relatively safe and accurate tools for patient education in interventional radiology. GPT-4 showed a slightly better performance. The feasibility and accuracy of these models suggest their promising role in revolutionizing patient care. Still, users need to be aware of possible limitations.

This article presents a new method for estimating positions of political parties across country- and time-specific contexts by introducing a latent variable model for manifesto data. We estimate latent positions and exploit bridge observations to make the scales comparable. We also incorporate expert survey data as prior information in the estimation process to avoid ex post facto interpretation of the latent space. To illustrate the empirical contribution of our method, we estimate the left-right positions of 388 parties competing in 238 elections across twenty-five countries and over sixty years. Compared to the puzzling volatility of existing estimates, we find that parties more modestly change their left-right positions over time. We also show that estimates without country- and time-specific bias parameters risk serious, systematic bias in about two-thirds of our data. This suggests that researchers should carefully consider the comparability of party positions across countries and/or time.

What type of trade agreement is the public willing to accept? Instead of focusing on individual concerns about market access and trade barriers, we argue that specific treaty design and, in particular, the characteristics of the dispute settlement mechanism, play a critical role in shaping public support for trade agreements. To examine this theoretical expectation, we conduct a conjoint experiment that varies diverse treaty-design elements and estimate preferences over multiple dimensions of the Transatlantic Trade and Investment Partnership (TTIP) based on a nationally representative sample in Germany. We find that compared to other alternatives, private arbitration, known as investor-state dispute settlement (ISDS), generates strong opposition to the trade agreement. As the single most important factor, this effect of dispute settlement characteristic is strikingly large and consistent across individuals’ key attributes, including skill levels, information, and national sentiment, among others.

Objectives In the presence of escalating global concerns regarding physician burnout, this study aims to analyze the prevalence and associated factors of burnout among radiologists in Germany. Methods A comprehensive online survey, inclusive of 73 targeted questions including a German-modified version of the Maslach Burnout Inventory, was distributed among all members of the German Radiological Society and the German Interventional Radiological Society between May and August 2023. The survey encompassed aspects of employment, workload, well-being, and coping mechanisms. Data from 172 completed surveys were analyzed, with correlations explored via crosstabs and the Pearson-chi-square test. Results In total, 76.7% of participating radiologists were identified to be burnt out. The prevalence was significantly associated with increased workload, reduced sleep quality, suboptimal working conditions, reduced job satisfaction, and the negative interplay between work, family life, and health. Median work satisfaction was described as “satisfied” while median workload was assessed as “frequently overwhelming of work.” A total of 41.9% of respondents noted facing daily time pressure. Radiologists’ concerns about work interfering with private family life were voiced by approximately 70%, and 73.3% highlighted the perceived negative effects on their health. Conclusion The pronounced prevalence of burnout among German radiologists demonstrates an urgent, unmet need for comprehensive interventions and systemic changes. Our findings act as a catalyst for initiating targeted, multifaceted strategies and dialogs, essential for fostering a resilient and effective healthcare ecosystem. Further large-scale systematic studies should follow to analyze the findings in broad. Clinical relevance statement Consistent with other countries, there is a high prevalence of burnout among radiologists in Germany. A call for further investigation is recommended to help mitigate adverse outcomes associated with physician burnout. Key Points • The prevalence of burnout has yet not been evaluated for German radiologists. • German radiologists have a high prevalence of burnout. • Steps must be implemented to engage this problem to prevent worsening. Graphical abstract