Schizophrenia is a severe and disabling psychiatric illness that profoundly affects a person’s ability to think clearly, perceive reality, manage emotions, and engage in daily activities. While antipsychotic medications have long been the cornerstone of treatment, debates persist around their long-term use and potential impacts on brain structure and function. In our review, we examine whether antipsychotic medications improve or worsen long-term outcomes in schizophrenia, particularly when treatment is refused or discontinued. Drawing from randomized controlled trials, large-scale observational studies, forensic outcome data, international guidelines, and neuroimaging research, the findings demonstrate that sustained antipsychotic treatment significantly reduces relapse, improves functional outcomes, and may protect against neurobiological deterioration. In contrast, untreated or inconsistently treated psychosis is associated with higher relapse rates, treatment resistance, cognitive decline, and progressive brain changes. While treatment must be personalized and compassionate, the cumulative evidence supports the critical role of early and continuous antipsychotic use in preserving health, autonomy, and long-term recovery for individuals living with schizophrenia.

This research note examines the evolving nature of political parties in the contemporary era, with a particular focus on the trend of movementization, defined as the process by which political parties adopt organizational, strategic, and discursive elements of social movements to revitalize their declining structures and reconnect with society. While early studies on this phenomenon primarily focused on movement parties—challenger actors that positioned themselves at the intersection of institutional and contentious politics, blending conventional and unconventional repertoires of action—recent developments suggest that movementization is no longer confined to movement-parties only. Instead, it is becoming a broader trend affecting both challenger and mainstream parties across the entire ideological spectrum. This research note aims to review and critically assess the existing literature on movementization, identifying key theoretical and empirical contributions while highlighting unresolved questions and methodological gaps. Although substantial work has been done on individual case studies, the field remains fragmented and lacks systematic comparative analysis. To advance the study of movementization, this note calls for a shift from case-centric approaches toward comparative frameworks, integrating quantitative indicators and cross-national perspectives to better assess the prevalence, drivers, and consequences of this transformation. By doing so, it seeks to contribute to a more structured and generalizable understanding of how movementization is reshaping contemporary party politics.

This article argues that allegorical exegesis is important for understanding the writings of William of Malmesbury, both in his exegesis and beyond. In the mid-1130s, William penned a commentary on Lamentations in part to explain the causes and aftermath of the Norman Conquest. His allegorical exegesis decried exploitation and mismanagement of ecclesiastical lands by episcopal appointees from the continent, including his own bishop, Roger of Salisbury. In William’s sometimes veiled yet unmistakable critiques, Roger appears as an invading tyrant whose tenure as abbot of Malmesbury amounts to a period of Babylonian captivity for the monks of that house.

Four Palaearctic species of Staphylininae (Coleoptera: Staphylinidae) are reported from North America for the first time: Heterothops cognatus Sharp, H. praevius (Erichson), Philonthus chujoi Dvořák, and Quedius (Raphirus) maurorufus (Gravenhorst). We suspect that these species are part of a more recent cohort of accidental introductions to North America. Notably, two of them are native to the East Palaearctic, an unusual source of adventive staphylinids in North America because nearly all others are native to Central Europe. We suggest that the East Palaearctic is an underrecognised and increasingly important source for recently adventive soil invertebrates and that increased taxonomic focus on this fauna is important to North American biosecurity. The detection of trans-Palaearctic H. praevius resulted in the recognition of H. praevius Erichson (= H. marmotae Smetana syn. nov.). We also newly report the Nearctic species Heterothops conformis Smetana and H. sordidus Smetana from eastern North America. Philonthus debilis, a close relative of P. chujoi, is reported from the Yukon Territory, representing the northernmost locality known for this long-established adventive species. Illustrations of diagnostic features, barcode data, and distribution maps are provided for all four species. Updated or new identification keys are provided to aid in the recognition of these species in eastern North America.

The present article stresses the unmatched quality of late-medieval English manorial documents, both in quantity and quality, and their importance for both economic and environmental history. The corpus of manorial documents is used here as a case study to reinvigorate interest in late-medieval agricultural history of England. To do so, the paper suggests to integrate manorial documents with methods and data from other palaeo-scientific disciplines: palaeoclimatology, palaeoecology, aDNA analysis, stable isotope analysis, palaeo-epigenetics, and molecular analysis of parchments. The paper argues that involving scientists from these fields in collaborative work and integrating the novel analysis of manorial documents and palaeo-scientific data will both help resolve various outstanding controversies and reshape the discipline. But beyond that, such interdisciplinary interdisciplinary framework has a strong potential to ask and answer new questions, create new data knowledge, and take our knowledge to new heights.

Despite the burgeoning literature on historical humanitarianism and transnational history, little work has sought to explain the humanitarian intervention in the ‘first battleground’ of the Cold War, namely the Greek Civil War (1945–9). This paper casts light on the intricate relationship between civilians’ forced displacement and humanitarian aid during the late phases of this conflict. It also questions the extent to which humanitarianism was embedded into liberal and conservative politics of the early Cold War.

From 1941, multiple humanitarian organisations distributed aid to famine-stricken Greek areas, while the United Nations Relief and Rehabilitation Administration (UNRRA) intervened in Greece in 1943. As the civil strife intensified, more than 700,000 civilians were displaced during the royalist counterinsurgency operations against the communist rebels, while humanitarian groups received the mandate by the royalist government to feed, accommodate and rehabilitate these populations. Most of these relief workers had grappled with wartime famine and relied on the restoration of the pre-war political system to solidify their presence in Greece.

Drawing on archival material from UNRRA and the personal records of humanitarian workers Charles Schermerhorn and Ewan John Christian Hare, I scrutinise how humanitarian logistics became embedded into the conflict, and how the distribution or withholding, of aid determined the forced displacement of civilians. On a second level, I focus on the antagonism between the aid distributed by ‘purely’ humanitarian organisations, such as UNRRA, the NEF and the United Nations Children’s Fund (UNICEF), and the so-called ‘development’ aid, as institutionalised by the European Recovery Program in 1948.

Nakamura and Tsuji recently obtained an integral inequality involving a Laplace transform of even functions that implies, at the limit, the Blaschke-Santaló inequality in its functional form. Inspired by their method, based on the Fokker-Planck semi-group, we extend the inequality to non-even functions. We consider a well-chosen centering procedure by studying the infimum over translations in a double Laplace transform. This requires a new look on the existing methods and leads to several observations of independent interest on the geometry of the Laplace transform. Application to reverse hypercontractivity is also given.

The integration of computational methods into psychiatry presents profound ethical challenges that extend beyond existing guidelines for AI and healthcare. While precision medicine and digital mental health tools offer transformative potential, they also raise concerns about privacy, algorithmic bias, transparency, and the erosion of clinical judgment. This article introduces the Integrated Ethical Approach for Computational Psychiatry (IEACP) framework, developed through a conceptual synthesis of 83 studies. The framework comprises five procedural stages – Identification, Analysis, Decision-making, Implementation, and Review – each informed by six core ethical values – beneficence, autonomy, justice, privacy, transparency, and scientific integrity. By systematically addressing ethical dilemmas inherent in computational psychiatry, the IEACP provides clinicians, researchers, and policymakers with structured decision-making processes that support patient-centered, culturally sensitive, and equitable AI implementation. Through case studies, we demonstrate framework adaptability to real-world applications, underscoring the necessity of ethical innovation alongside technological progress in psychiatric care.

Contact tracing is an effective public health policy to put the fast-spreading epidemic under control. The government tracks the contacts of confirmed SARS-CoV-2 cases, recommends testing, encourages self-quarantine, and monitors symptoms of contacts. In developing and less-developed countries with limited resources for widespread SARS-CoV-2 testing, it remains essential to identify and quarantine positive contacts to control outbreaks. Therefore, analysing recall and precision when implementing testing policies for these contacts is necessary. We analysed a contact tracing dataset from a cohort of 827 index patients infected with SARS-CoV-2 and their 14814 close contacts from Jan 2020 to July 2020 in a province in eastern China. We constructed a network from the data and used a Graph Convolutional Network to predict each contact’s infection status. To the best of our knowledge, this is the first method to use population-based contact tracing data for predicting the infection status using graph neural networks. Despite limited information, our model achieves competitive Area Under the Receiver Operating Characteristic Curve (ROC AUC) compared to hospital-onset scenarios. Based on the risk scores, we propose several contact testing policy adaptations that balance resource efficiency and effective pandemic control.