Involuntary placement and treatment within mental healthcare represent one of the most sensitive areas where clinical needs and human rights intersect and the protection of fundamental rights of individuals subjected to coercive measures remains a paramount concern. This issue has been along-standing interest of the European Psychiatric Association (EPA), reflected in studies conducted by the EPA members and by the EPA Code of Ethics. Moreover, the EPA supports the work of the Parliamentary Assembly of the Council of Europe on a Draft Additional Protocol to the Convention on Human Rights and Biomedicine, as an European document aiming to harmonize practice across Europe, emphasizing involuntary treatment as a last resort, guaranteeing access to legal counsel, and ensuring continuous monitoring. However, weemphasize several aspects that should be included: 1) future reforms must integrate legalsafeguards with innovations in community care and evidence-based practice, ensuring that involuntary measures remain exceptional and rigorously justified; 2) while evidence-based strategies to reduce coercive treatment exist, it is important to emphasize the need for regular staff training, knowledge exchange, and consistent application of high standards, with a focus on minimizing the use of involuntary treatment within facilities while developing alternatives; 3)coercive treatment is regularly used in general hospitals for patients lacking decision-making capacity. Addressing all involuntary treatment, in both psychiatric and other healthcare settings, to ensure that the same legal, ethical and clinical values and standards are applied to all, is also critical in order to confine coercion to the absolute minimum.

Previous research has highlighted the negative impact of the COVID-19 pandemic on healthcare workers’ (HCWs) mental health, yet protective factors remain underexplored. Emerging studies emphasize the importance of trust in government and interpersonal relationships in reducing infections and fostering positive vaccine attitudes. This study investigates the relationship between HCWs’ trust in the workplace and government and depressive symptoms during the pandemic. The COVID-19 HEalth caRe wOrkErS study surveyed 32,410 HCWs from 22 countries, including clinical and nonclinical staff. Participants completed the Patient Health Questionnaire-9 and ad-hoc questions assessing trust in the workplace and government. Logistic regression and multilevel models examined associations between trust levels and depressive symptoms. High workplace trust (OR = 0.72 [0.68, 0.76]) and government trust (OR = 0.72 [0.69, 0.76]) were linked to lower odds of depressive symptoms, with significant between-country variation. Country-level analyses showed that workplace trust was more protective in more developed countries and under stricter COVID-19 restrictions. Despite cross-country variation, HCWs with higher trust in the workplace and government had ~28% lower odds of experiencing depressive symptoms compared to those with lower trust. Promoting trust may help mitigate the mental health impact of future crises on HCWs.

One of the most incredible aspects of the Mexican Baja Peninsula is the immense wealth of plant and animal diversity it holds. The human communities living alongside this richness have boundless intimate knowledge of its natural history, potentially with novel insights into the ecological and evolutionary processes shaping the diversity of plants and animals. These same human communities have likely also witnessed changes to these natural environments over their lifetimes, particularly as the effects of global change are being felt by similar rural communities around the world. However, because the area is so remote, they often have little access to scientific data or current information about the causes or effects of the changes they observe. Using a thematic analysis of recorded conversations, this project seeks to connect remote rural ranches in Mexico with scientists, to gather data on the issues that matter most to the community members, and work to find collaborative solutions. Through thematic analysis of recorded conversations, our research reveals that unpredictable climate variability, including droughts, hurricanes, and shifting seasonal patterns, poses significant challenges to ranching livelihoods. Ranchers’ deep ecological knowledge provides critical insights into the stresses of changing and increasingly unpredictable environmental trends. By integrating local perspectives with scientific approaches, this study highlights the potential for collaborative biodiversity research.

The atomic bombings of Hiroshima and Nagasaki reshaped international politics and the field of International Relations. But one question—“How should the atomic bomb be used?”—has been largely overlooked in political science. This article recovers American deliberations on alternative nuclear use options before August 1945, including the “noncombat demonstration,” targeting military installations, giving advance warning, and striking more symbolically valuable cities. We develop theoretical insights on the value of staging violent spectacles and the emotive power of visible destruction. We then use a wide range of sources to show that U.S. leaders selected an ostentatiously lethal means of atomic debut due to concerns about conventional military inferiority vis-à-vis the Soviet Union, the desire to instill a widespread view of the bomb’s revolutionary character, and the imperative of shaping the postwar international order. This study advances our understanding of the post-1945 international order and the performative dimensions of political violence.

The vast presence of populism in contemporary political discourse has introduced a narrative steeped in nostalgia, evoking images of a revered national past and delineating a stark division between the ‘authentic us’ and the ‘alien them’. While these messages resonate with a substantial portion of citizens, they concurrently foster identity-driven animosity and derogation. In a pre-registered experiment in the Netherlands (with data collected between January and March 2023), we distinguish the influence of nostalgic narratives and scapegoating on societal sentiments, revealing their pivotal role in exacerbating current levels of polarization. Our findings underscore the potential of nostalgic narratives to shape affective sentiments towards ideological and social in-groups, while also influencing sentiments towards out-groups. Messages featuring scapegoats were found to intensify positive sentiment towards in-groups, while simultaneously diminishing positive sentiment towards out-groups. This research underscores a crucial mechanism underpinning the ebb and flow of identity-based sentiments. The results indicate that nostalgic discourse, particularly when intertwined with scapegoating, can serve as a catalyst for the intensification of in-group affinity and the exacerbation of out-group aversion. In essence, our study underscores the far-reaching implications of nostalgic narratives in perpetuating societal animosity and polarization and sheds light on a critical facet of contemporary political discourse.

It is widely believed that high inflation reduces the popularity of incumbents, and contributed to poor incumbent performance in recent elections in the United States and elsewhere. Existing research shows that voters’ inflation perceptions are associated with their evaluations of incumbent parties, but these observational studies cannot eliminate the possibility that the causal relationship runs the other way, where opposition to incumbent governments causes individuals to report higher price increases. To help overcome this inferential challenge, this study draws on a pre-registered experiment embedded in a nationally representative survey fielded just days before the 2024 US Presidential election. We find that priming Americans to think about inflation reduced support for the incumbent party. This effect is most pronounced among Independents and Democrats. These findings suggest that inflation likely contributed to the Democrats’ 2024 electoral defeat, and provide novel evidence that inflation has a causal effect on support for incumbent parties.

Twin children are more likely to die than singletons. This is an additional burden in sub-Saharan African (SSA) countries, as child mortality levels are already higher than anywhere else. This article provides estimates of under-5 mortality rates (U5MRs) for twins and singletons in SSA from 1986 to 2016. It describes the geographical variations and changes over time. It also describes the variation of twins’ excess mortality according to age from 0 to 5 years. Additionally, it analyzes the factors associated with twins’ excess mortality. We used data from 156 national surveys from 42 countries. We estimated U5MRs for twins and single children and built a Cox model to analyze factors associated with excess mortality among twins. Although child mortality has declined on the continent, twins’ excess mortality remains very high. U5MRs are, on average, 3 times higher among twins than singletons. The Cox model shows that all other things being equal, the adjusted hazard ratio of under-5 mortality (U5M) is 3.2 (2.9−3.3; p < .001) times higher among twins than singletons. The main factors associated with excess mortality risks among twins are biomedical and nutritional features, such as low birth weight, non-use of cesarean section delivery, and lack of breastfeeding. Health policy makers in SSA should be aware of the vulnerability of twins, and interventions to prevent their early deaths should be considered.

With the introduction of tetflupyrolimet as the first herbicide with a novel site of action in the last three decades, screening for herbicide resistance before commercialization has become integral to ensure successful applications. In the mid-southern United States, tetflupyrolimet is anticipated to be used as a preemergence (PRE) herbicide for barnyardgrass control but does exhibit postemergence (POST) herbicidal activity. In 2020, 45 Echinochloa crus-galli (barnyardgrass) accessions were collected from rice-producing areas in Arkansas and were screened in the greenhouse to tetflupyrolimet at 134 g ai ha-1 PRE and POST at the 2- to 3-leaf growth stage on a silt loam soil. A field experiment was conducted where tetflupyrolimet was applied alone at 134 g ai ha-1 or with clomazone at 336 g ai ha-1, to a susceptible barnyardgrass standard and four other accessions with confirmed resistance to florpyrauxifen-benzyl, imazethapyr, propanil, and quinclorac at the spiking, 1-, 2-, 3-, and 4-leaf stages. For the PRE screening, the percent visible control ranged from 88% to 99%, with some accessions differing in sensitivity to tetflupyrolimet. Percent mortality ranged from 47% to 90% at the PRE timing. Visible control and mortality ranged from 63% to 88% and 7% to 65%, respectively, from a POST application, suggesting there is differential sensitivity and that foliar applications may not be as effective as soil applications. In the field experiment, barnyardgrass accession did not influence POST biomass production and was impacted more by the growth stage at application, although the difference was frequently numerical. In general, applying tetflupyrolimet alone or with clomazone to ≥3 leaf grass compromised performance. Tetflupyrolimet will be better optimized as a soil-applied herbicide in mid-southern U.S. rice culture.

Extreme precipitation events are projected to increase both in frequency and intensity due to climate change. High-resolution climate projections are essential to effectively model the convective phenomena responsible for severe precipitation and to plan any adaptation and mitigation action. Existing numerical methods struggle with either insufficient accuracy in capturing the evolution of convective dynamical systems, due to the low resolution, or are limited by the excessive computational demands required to achieve kilometre-scale resolution. To fill this gap, we propose a novel deep learning regional climate model (RCM) emulator called graph neural networks for climate downscaling (GNN4CD) to estimate high-resolution precipitation. The emulator is innovative in architecture and training strategy, using graph neural networks (GNNs) to learn the downscaling function through a novel hybrid imperfect framework. GNN4CD is initially trained to perform reanalysis to observation downscaling and then used for RCM emulation during the inference phase. The emulator is able to estimate precipitation at very high resolution both in space ($ 3 $km) and time ($ 1 $h), starting from lower-resolution atmospheric data ($ \sim 25 $km). Leveraging the flexibility of GNNs, we tested its spatial transferability in regions unseen during training. The model trained on northern Italy effectively reproduces the precipitation distribution, seasonal diurnal cycles, and spatial patterns of extreme percentiles across all of Italy. When used as an RCM emulator for the historical, mid-century, and end-of-century time slices, GNN4CD shows the remarkable ability to capture the shifts in precipitation distribution, especially in the tail, where changes are most pronounced.

Sitodiplosis mosellana (Géhin) (Diptera: Cecidomyiidae) is a significant pest of wheat, Triticum aestivum Linnaeus (Poaceae), in Canada. Monitoring currently relies on labour-intensive counts of ovipositing females. Although traps baited with S. mosellana pheromone are used as decision support tools in the United Kingdom, in Canada, they are considered reliable only to indicate adult activity. Recent findings show that variability in pheromone release from commercial lures affects the number of midges captured and limits the reliability of pheromone monitoring. Here, two lure types and two trap types were compared for their ability to attract and retain S. mosellana males. We then compared the number of males captured in pheromone traps with the information provided by other monitoring tools, including emergence traps, soil cores, and ovipositing female counts. Jackson traps with Trécé rubber septa lures captured the most midges. The number of males captured in pheromone-baited traps was not related to overwintering, ovipositing, or emerging populations, suggesting that pheromone traps may not accurately reflect S. mosellana populations under field conditions. Variability in extracted pheromone amount between lures, regional climate, and Canada’s vast wheat-growing area may limit the development of an effective pheromone-based decision support tool for this region. Nevertheless, refinement of lure formulation, standardisation of trapping protocols, and integration of complementary monitoring approaches may enhance trap reliability and support a stronger monitoring system.