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This chapter focuses on the expressive functions of tears, the face and the body on the early modern stage, to probe the deep relation between drama and the law, including their entwined but distinct investments in natural self-evidence and the rhetoric of presence. Through an interdiscursive approach, it shows how drama mines the complexities of hypokrisis through an engagement with the radical performativity at the core of law, and offers the provocation that law’s disknowledges are turned into a poetic condition of theatrical knowledge, and a forging of subjecthood and inwardness that complicates the distinction between the fiction of theatre and the reality of the law court. It ends with the suggestion that the theatre looks at, as well as beyond, the vivid invisibilities of judicial encounters to unpack the epistemic, affective and ethical impulses structuring the ‘scene’ of law.
Racial and ethnic minorities are underrepresented at all levels of U.S. politics. Yet, the 2020 Census reports that people of color constitute the majority of Americans under 18, and could thus serve as a pool of descriptive candidates in the near future. We study how race and age intersect in the first of multiple steps that may lead to election: interest in running for office. Using the 2020 Collaborative Multiracial Postelection Survey, we first show that Black and Latino Americans are more interested in running for office than are White and Asian Americans. This observed ambition gap cannot be accounted for by standard explanations like socioeconomic disparities, ideology, political interest, and broad civic engagement. Rather, it is explained by differences among age cohorts: younger Black and Latino Americans are more interested in running for office, due to having been disproportionately engaged in recent movements advocating racial justice. We conclude that differences in political ambition between racial and ethnic groups do not explain the underrepresentation of Black and Latino Americans; rather, by drawing on the untapped ambition found among younger, more diverse cohorts, future recruitment efforts for the next generation of politicians can help translate this potential into representational parity in U.S. politics.
Early prediction of depressive and anxiety disorders is challenging due to substantial heterogeneity in risk pathways. Conventional machine-learning models trained on aggregated populations may obscure subgroup-specific mechanisms and limit interpretability for prevention. We evaluated whether a hybrid unsupervised–supervised framework can identify meaningful subgroups and yield more interpretable risk prediction.
Methods
We analyzed cohort data of 15,897 Japanese adults who completed baseline (August–September 2020) and 6-month follow-up (February–March 2021) surveys and did not screen positive for depressive and anxiety disorders at baseline (K6 score < 13). Using 169 baseline demographic, psychosocial, lifestyle, and behavioral variables, we performed hierarchical clustering to derive data-driven subgroups. Within each cluster, we trained Random Forest models to predict incident screened depressive and anxiety disorders at follow-up (K6 ≥ 13) and interpreted predictors using SHapley Additive exPlanations (SHAP).
Results
The overall 6-month incidence was 6.23%. A five-cluster solution revealed two high-risk subgroups: an older-adult profile with poor quality of life (12.9%) and a working-parent profile characterized by work–family overload (29.8%). Compared with a global model trained on the full sample, the cluster-then-predict framework showed broadly similar overall performance but performed better in the highest-risk subgroup and revealed more differentiated predictor profiles. Loneliness, health-related quality of life, happiness, and personality traits predominated in clusters with moderate adversity, whereas lifestyle disruption (sleep, diet, and irregular routines) characterized the high-risk late-life subgroup and alcohol dependence and work–family burden characterized the high-risk working-parent subgroup.
Conclusions
Addressing risk-factor heterogeneity before prediction may enable more interpretable, context-tailored prevention strategies.
Jürgen Jost, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig,Raffaella Mulas, Vrije Universiteit Amsterdam,Dong Zhang, Peking University
from
Part III
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Additional Topics: Interlacing, Tensors, Nonbacktracking Laplacians, and Applications
Jürgen Jost, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig,Raffaella Mulas, Vrije Universiteit Amsterdam,Dong Zhang, Peking University
A nonbacktracking random walk, that is, where the random walker is not allowed to travel an edge back and forth, leads to a new Laplace type operator with novel properties. It encodes structural features of the underlying graph in a manner different from other Laplace operators.
Social cognitive deficits are common across many psychiatric conditions and contribute to broader social dysfunction. One hypothesized mechanism involves altered basic visual processing, which may disrupt the perception of low-level social cues and, in turn, compromise broader social cognitive processes. Here, we examined relations between basic visual processing and different levels of social cognition in a transdiagnostic youth sample.
Methods
A sample of 148 youth, ranging from healthy individuals to individuals with neuropsychiatric diagnoses and significant social dysfunction, completed two measures of basic visual processing (contrast sensitivity and visual integration) and a battery of social cognition tasks spanning lower-level (gaze perception) to mid-level (emotion recognition) to higher-level (theory of mind) social cognition. We used a four-level path model to test whether basic visual processing predicts gaze perception, which in turn predicts emotion recognition, which predicts theory of mind.
Results
Poorer contrast sensitivity and visual integration were associated with less precise gaze perception, which was, in turn, associated with worse emotion recognition, which was associated with worse theory of mind. This four-level path model demonstrated good fit and showed superior fit compared to alternative models.
Conclusions
These findings suggest that basic visual processing influences the perception of basic social cues (e.g. gaze direction), which subsequently impairs more complex social perception and inference. Notably, this study extends prior observations from individuals with chronic schizophrenia to a transdiagnostic youth sample, indicating that altered basic visual processing may be a shared mechanism contributing to social cognitive deficits across psychiatric disorders and illness stages.
Jürgen Jost, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig,Raffaella Mulas, Vrije Universiteit Amsterdam,Dong Zhang, Peking University
Excavations on Letná Hill uncovered a forgotten 1950s labour camp linked to Prague’s Stalin Monument. Preserved architecture and artefacts reveal the daily life of workers, driven less by physical violence than by ideological pressure and social consequences, shedding new light on forced labour and material culture in communist Czechoslovakia.
This study explores the relational conditions that influence contractors’ safety management on multi-employer worksites, with a focus on the Swedish mining industry. Using interviews, observations, and informal conversations, the study examines how the blurred boundaries between client companies and contractors shape safety practices. The findings show that safety management is influenced not only by formal contractual relationships but also by the relational dynamics between social actors, where power asymmetries and informal networks play a significant role. The research highlights how these relational conditions – defined by the positions and symbolic authority of the actors involved – impact coordination, communication, and accountability regarding safety. Contractors, often struggling to assert their expertise and legitimacy within the relational field, face challenges in aligning safety practices with client companies’ priorities. The study concludes that to improve safety management on multi-employer worksites, it is essential to address the relational dynamics between contractors and client companies, moving beyond formal agreements to consider the underlying power relations and position-takings that shape safety practices.
Common mental disorders (CMDs) such as depression and anxiety are highly prevalent among older adults. While psychosocial interventions are increasingly recognized for their preventive potential, a comprehensive synthesis of their effectiveness with nonclinical elderly populations is pending. This study aimed to evaluate the effectiveness of such interventions in reducing depressive and anxiety symptoms among older adults with subclinical symptom levels and to examine potential moderators (that is, intervention type, length, delivery modality, and control group characteristics). A meta-analysis was conducted of 58 randomized controlled trials (RCTs) testing psychosocial interventions aimed at preventing depression and/or anxiety, using validated measures and targeting adults aged ≥60. Moderator variable effects were assessed through mixed-effects meta-regressions, and effect generality was examined using multiverse analyses. Psychosocial interventions showed a moderate postintervention effect in reducing depressive symptoms (d = −0.474) that remained nontrivial and modest at follow-up (d = −0.386) compared to control. For anxiety, a small-to-moderate effect was observed postintervention (d = −0.333), with a small, albeit nominally nonsignificant, effect at follow-up (d = −0.205) compared to control. No significant differences were found between intervention types or control conditions. Younger participants experienced greater reductions in depressive symptoms from pre-to-post-intervention and at follow-up, and in anxiety symptoms from pre-to-post-intervention only. Multiverse analyses showed that intervention effects generalized across numerous variables, thus indicating a remarkable robustness of the findings. Our findings demonstrate that it is important to implement psychosocial interventions in community settings, regardless of intervention type, to protect the elderly against CMDs.
The citrus industry is vital to regional economies, and scientific land suitability evaluation is essential for spatial optimisation. This study focuses on Tongcheng County in Hubei Province, which exemplifies a typical red soil hilly region that is ecologically vulnerable in southeastern China. This study integrates Geographic Information System (GIS), Analytic Hierarchy Process (AHP), and fuzzy mathematics to develop a comprehensive land suitability evaluation model that balances factor continuity with evaluation uncertainty. Multi-source spatial data (climate, topography, soil) were used to quantify fuzzy membership functions for citrus growth. Subsequently, we conducted a weighted overlay analysis based on this quantification, which resulted in the creation of a citrus cultivation suitability evaluation map for Tongcheng County. The evaluation results categorised the study area into three distinct zones: (1) The Optimal Zone (CAI ≥ 0.75), which comprises 75.8% (857 km2) of the total study area; (2) The Suitable Zone (0.55 ≤ CAI ≤ 0.75), which constitutes 19.6% (222 km2) of the total study area; and (3) The Unsuitable Zone (CAI ≤ 0.55), which represents 4.6% (52 km2) of the total study area. The research findings aligned with the actual conditions in Tongcheng County, thereby confirming the feasibility of the employed research methodology. These outcomes address research gaps and provide a replicable methodological framework for land evaluation in mountainous regions. This approach can be directly utilised in local agricultural spatial planning and the development of land-use policies. It carries substantial practical implications for advancing sustainable agricultural development and revitalising rural areas in mountainous regions.
from
Part I
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Basics: Foundational Material, Elementary Aspects, and Examples
Jürgen Jost, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig,Raffaella Mulas, Vrije Universiteit Amsterdam,Dong Zhang, Peking University
This chapter provides a historical introduction. Spectra first appeared in the study of linear differential operators, such as the Laplace, the heat, and the wave operator, which originated in the eighteenth century. A Laplace operator on networks was first introduced by Kirchhoff in the ninteenth century.
This study aimed to investigate a four-month Ralstonia pickettii outbreak by characterizing clinical and environmental isolates while also demonstrating the infection control measures taken to identify and eliminate the sources. R. pickettii was isolated from patients’ blood cultures, and an epidemiological investigation was initiated to determine the source of the outbreak. Clonal relatedness among clinical and environmental samples was assessed using pulsed-field gel electrophoresis. In total, R. pickettii was isolated from 14 patient blood cultures and 3 bottles of sterile distilled water. Between April 14 and May 15, six patients had positive port cultures, including four with positive peripheral cultures. The contaminated water was identified as the outbreak source, and its use was discontinued on May 15. Nevertheless, two additional cases occurred in June. Port catheter colonization with R. pickettii was considered to be linked to contaminated water used during chemotherapy preparation. A recall of port catheter patients who received chemotherapy in April–May identified six more cases. Pulsed-field gel electrophoresis revealed two pulsotypes among water isolates, and most clinical isolates were clonally related to clone 1. This investigation highlighted the role of contaminated sterile distilled water and colonized medical devices as potential sources of R. pickettii outbreaks.
Teaching academics operate in a turbulent context of natureculture challenges, as well as neoliberal institutional constraints. Therefore, understanding the experiences and observations of those teaching sustainability deserves ongoing attention. In an exploratory study, we conducted in-depth interviews at one Australian university with six academics who incorporate sustainability concepts into their teaching. In a move away from Cartesian separability we brought a relational and connected process philosophy to a qualitative interview methodology, enlivening interviews as performative “intra-views.” Applying a posthumanist sensibility to qualitative method opened the possibility of richer accounts of teaching experience. What emerged from the interviews was a sense of academics’ optimism, commitment and enthusiasm for teaching, along with their success strategies such as transdisciplinary pedagogies and cross-sectorial partnerships. This research points to the importance of ongoing attention to the lived experience of academics teaching sustainability, and to the value of bringing theory to meet data in sustainability education research.
In this narrative review, we build upon previous work and provide guidance on the infectious disease care of immigrant, refugee, and asylee populations, accounting for numerous policy changes at the federal level that have been made in the past year and with a focus on re-emerging infections such as measles. We present three cases to illustrate teaching points on the care of pertinent infections we have chosen (HIV, measles, and Ebola), not only at the patient level but also actions of advocacy that can be taken to build health systems that better care for these patients.
The fast-moving field of data science is increasingly permeating into the health and care actuarial sciences. Given this context, the Institute and Faculty of Actuaries set out to form a “techniques in data science in health and care” working party. This working party was tasked with creating a framework for those actuaries working within the health and care domain that would assist them in determining which techniques are appropriate for a project. The framework presented here was developed through a combination of literature review and synthesis of expert opinion from experienced practitioners from diverse backgrounds. The framework offers a structured, itemised approach, serving as a checklist to ensure that all relevant analytics and decisions are considered and documented. Each itemised topic is covered by a summary providing guidance and relevant references for further reading. The checklist follows the natural workflow of a data analytics project, guiding users through each step to prevent omissions and maintain rigour in both analysis, reporting and peer-review. The framework blends relevant analytics elements from actuarial science, data science and epidemiology. We hope the framework will enhance transparency, reproducibility, and comprehensiveness in the reporting and peer-review of health and care data analytics projects.
In 2025, transformative and transnational plans to phase out animal testing and reduce reliance on animal use in research settings were introduced.
Methods
Steps towards realising these plans can be addressed by using human tissues and metadata obtained from biobanks. Biobanks securely and ethically collect, process, store, manage and distribute human biological tissues donated by patients for biomedical research purposes.
Results
Biobanks have developed at pace over the last decade, expanding their repertoires to meet increasingly complex demands from researchers.
Conclusions
This article outlines how the power of biobanks can be leveraged to drive innovative animal-free biomedical research, including the patient perspective.
Electoral reform efforts in the United States are widespread, yet little is known about how Americans evaluate alternative electoral systems or their consequences. We address this gap using conjoint and vignette experiments to study how Americans assess electoral reforms based on their implications for the number of parties and the degree of ideological polarization in the U.S. House of Representatives. Focusing on democratic voice, governability, and responsiveness, our designs emphasize party-system outcomes rather than technical institutional features that may be difficult for citizens to understand. We find that Americans are strongly averse to reforms that generate pronounced legislative polarization, even when it might be expected to enhance democratic voice. Findings pertaining to multipartism are more mixed, with some evidence that respondents respond positively to moderate departures from the two-party system. Perceived gains in voice and responsiveness do not generally compensate for losses in governability, except under arrangements that avoid polarization.
This chapter examines a series of court cases in Hong Kong in which a number of newly elected legislators were disqualified from taking office in part because the ways in which they took their oaths during the swearing-in ceremony were deemed too flamboyant, too extravagant and too theatrical to be taken seriously. Implicit in the legal and political objections to their oath taking is the view that theatre has no place in the hallowed chambers of the law courts or the legislature, a view that is all the more surprising given the intertwined histories and representational strategies between law and theatre. Taking these cases as a starting point, I explore what may be at stake in this legal anti-theatricality, and argue that law’s determination to expurgate the theatrical could be read as part of an attempt to render invisible its own performative nature.