We present a method for narrowing nonparametric bounds on treatment effects by adjusting for potentially large numbers of covariates, using generalized random forests. In many experimental or quasi-experimental studies, outcomes of interest are only observed for subjects who select (or are selected) to engage in the activity generating the outcome. Outcome data are thus endogenously missing for units who do not engage, and random or conditionally random treatment assignment before such choices is insufficient to identify treatment effects. Nonparametric partial identification bounds address endogenous missingness without having to make disputable parametric assumptions. Basic bounding approaches often yield bounds that are wide and minimally informative. Our approach can tighten such bounds while permitting agnosticism about the data-generating process and honest inference. A simulation study and replication exercise demonstrate the benefits.

The authors describe an international project to improve quality of electroconvulsive therapy (ECT) provision in a low- to middle-income territory. Shortcomings in professional training and delivery of clinical care had been identified, including staffing limitations, outdated ECT machines and use of unmodified treatment. The UK Royal College of Psychiatrists, the charity Medical Aid for Palestinians and the Palestinian Ministry of Health collaborated to provide new equipment, deliver specialist training and develop a modern service protocol. The resulting improvements, such as the introduction of electroencephalogram monitoring and stimulus dosing, are detailed, along with obstacles encountered, lessons learnt from the project and aspirations for the future.

This study investigates the effect of visually perceived gestures on the overall (multimodal) prominence of naturally occurring stimuli extracted from a multimodal corpus of Maltese conversations. Experiment participants were required to rate the prominence of target words in sentences presented to them as audiovisual and audio-only stimuli. In half of the stimuli, the target word was accompanied by a co-speech hand gesture. The results of the experiment show (i) that words produced with a co-speech gesture were rated as more prominent than words that were produced without one and (ii) that this was the case independently of whether raters could see those gestures (audiovisual condition) or not (audio-only condition). An acoustic analysis of the data shows that the presence of a co-occurring gesture has a significant effect on the pitch of the target vowel. The study suggests that gestures may provide the listener with an additional but not necessary cue to perceiving prominence.

Suicide prevention is an under-prioritised public health issue in Bangladesh. Recently, it has received academic attention substantiated by an increasing number of publications. Along with that, the Mental Health Act (2018), National Mental Health Policy (2022) and National Mental Health Strategic Plan (2020–2030) have come out. There are many challenges facing suicide prevention efforts in the country, such as suicide’s criminal legal status and associated stigma, lack of a national suicide prevention programme, inadequate clinical services, and most important, the absence of a national database on suicide. This paper analyses documents critically considering initiatives for suicide prevention, highlights the urgent necessity for suicide prevention strategies in the country and identifies prominent stakeholders. A national suicide database in which law enforcement agencies have a prominent stake is urgently needed. In the long term, suicide prevention should be considered in the lens of public health.

This article theorises Indigenous feminist relational freedom that emphasises the ways in which relations and structures of domination disproportionately impact women and gender-diverse people, including through gender-based violence and environmental harm. The theory of relational freedom critiques both one-dimensional conceptions of Indigenous relationality and the conventional framing of Indigenous sovereignty and self-determination through the lens of non-interference, a concept rooted in political autonomy grounded in liberal thought. While non-interference correctly emphasises the need for Indigenous autonomy from state intervention, it falls short in addressing the deeper aspects of Indigenous freedom. Western interference has long impacted Indigenous life, which has led Indigenous self-determination discourses to focus on avoiding state intervention. However, while this emphasis on political autonomy is valid, it does not account for structural forms of domination, particularly underlying inequalities that perpetuate subordination within these structures. These structures range from state institutions that dispossess Indigenous communities to internal systems of gender-based domination that marginalise Indigenous women and LGBTQ+ individuals. The persistence of these structures significantly impedes the full realisation of Indigenous self-determination. The article ultimately theorises Indigenous feminist relational freedom within broader frameworks of feminist relational autonomy and citizenship and Indigenous gift relations, exploring practical approaches for applying the principles of relational freedom within Indigenous governance.

This article contributes to understanding how inexperience and lack of commitment to evidence-based decision making may undermine an otherwise broadly functional framework for constitutional risk management. As part of a focus on the “Visegrád Four” countries, it also helps understand regional dynamics since the COVID-19 pandemic as the most visible emergency after 1989. The article starts with a brief elucidation of the political contexts that have shaped Slovakia’s constitutional risk management, focusing on the developments from 2020 through early 2025. An analysis of mechanisms of emergency risk management in the constitutional framework follows, that helps identify key state authorities attempting to make decisions under serious time pressures. The implementation of the constitutional framework during the COVID-19 pandemic demonstrates the creation of new avenues for restricting rights and bolstering executive competence, with the formally powerful constitutional review mechanisms struggling to challenge these decisions. Ultimately, political context emerges as key: Slovakia entered the COVID-19 pandemic with a governing coalition enjoying constitutional majority and an aura of reform and hope. The emergency mismanagement not only facilitated the breakup of this coalition and early elections, but also a rise in emergency conspiracies openly hostile to institutions and actors committed to evidence-based decision making.

Emission line galaxies (ELGs) are crucial for cosmological studies, particularly in understanding the large-scale structure of the Universe and the role of dark energy. ELGs form an essential component of the target catalogue for the Dark Energy Spectroscopic Instrument (DESI), a major astronomical survey. However, the accurate selection of ELGs for such surveys is challenging due to the inherent uncertainties in determining their redshifts with photometric data. In order to improve the accuracy of photometric redshift estimation for ELGs, we propose a novel approach CNN–MLP that combines convolutional neural networks (CNNs) with multilayer perceptrons (MLPs). This approach integrates both images and photometric data derived from the DESI Legacy Imaging Surveys Data Release 10. By leveraging the complementary strengths of CNNs (for image data processing) and MLPs (for photometric feature integration), the CNN–MLP model achieves a $\sigma_{\mathrm{NMAD}}$ (normalised median absolute deviation) of 0.0140 and an outlier fraction of 2.57%. Compared to other models, CNN–MLP demonstrates a significant improvement in the accuracy of ELG photometric redshift estimation, which directly benefits the target selection process for DESI. In addition, we explore the photometric redshifts of different galaxy types (Starforming, Starburst, AGN, and Broadline). Furthermore, this approach will contribute to more reliable photometric redshift estimation in ongoing and future large-scale sky surveys (e.g. LSST, CSST, and Euclid), enhancing the overall efficiency of cosmological research and galaxy surveys.

This study explores an emerging yet under-researched group within the Chinese bureaucratic system: grassroots female civil servants. Although there is a growing focus in academia on female officials in China, existing research mainly concentrates on the gender representation and career pathways of high-ranking female officials. This research delves into the work and life choices faced by female civil servants in local governments. Despite official discourse advocating for gender equality, interviews with 21 female public servants from a poverty-stricken county in northern China reveal that the demands of local government work and gender norms impose a double burden on them. Although the civil service is known for its stability, these women often have to put in extra effort into demanding and exhausting jobs, frequently sacrificing promotion opportunities to balance family and caregiving responsibilities. However, they seldom express dissatisfaction with this situation, reflecting the entrenched nature of gender role perceptions. This study provides a new explanation for the underrepresentation of female officials at higher levels from a grassroots perspective and reveals the impact of overloaded bureaucratic work on career mobility.