Circadian rhythms are intrinsic, endogenously generated cycles that regulate various physiological processes, including reproductive functions. These rhythms are orchestrated by a network of core clock genes and are influenced by external environmental cues, primarily the light–dark cycle. Disruptions in circadian rhythms can have profound effects on fertility in both males and females, impacting processes such as the estrous cycle, ovulation, sperm production, implantation and pregnancy maintenance. This review comprehensively explores the molecular mechanisms underlying circadian rhythms and their influence on reproductive health, integrating evidence from both animal models and human studies. We delve into the intricate interplay between circadian genes, hormonal regulation and environmental factors, underscoring the critical importance of circadian integrity for optimal reproductive outcomes. The potential therapeutic implications of maintaining circadian rhythms are also discussed, highlighting novel avenues for enhancing reproductive health.

Grandiose delusions have received comparatively little attention in the literature and there is limited empirical evidence assessing the efficacy of cognitive behaviour therapy for psychosis (CBTp) for individuals with grandiose beliefs. This case study presents Noah, a 23-year-old referred to our Early Intervention Service with persistent grandiose beliefs alongside other psychotic experiences. Noah received 26 sessions of CBTp. Scores on measures of perseverative thinking, delusional distress and conviction, wellbeing, and daily functioning were completed at baseline, mid-therapy, end of therapy, and at follow-up 12 weeks after the end of therapy. Results demonstrated improvement across all measures, particularly preservative thinking about beliefs. Improvement in all but one outcome was not only sustained but continued to increase at follow-up. This is one of few known reports on using CBTp with an individual with current grandiose delusions.

This study presents the first record of Miyalachnus sorini Kanturski & Lee, 2024 (Aphididae: Lachninae) in South Korea, thereby extending its known distribution beyond Japan and identifying a new host plant, Prunus sargentii (Rosaceae). We describe diagnostic morphological traits across multiple life stages and compare them with those of Japanese populations. Comparative analyses with Japanese populations demonstrated consistent morphological differentiation, notably elevated ratios of the ultimate rostral segment to antennal segments across multiple morphs in the Korean population, indicating potential ecological adaptation. DNA barcoding using the mitochondrial cytochrome c oxidase I gene revealed low intraspecific divergence (average 0.2%) and interspecific divergence (average 10.5%) between Miyalachnus sp. and M. sorini. Haplotype analysis was performed to investigate the relationship between host plants and cryptic genetic diversity. These findings enhance our understanding of the morphological and genetic diversity of M. sorini and underscore the importance of monitoring its spread for informed pest management strategies.

This article combines book history and urban history to examine the spread of the print trade and facilities for reading in Scotland by the 1820s, using a Scotland-wide trade directory as its main source. The article demonstrates how support for reading, including printers, bookshops and venues for reading, extended far and wide within the Scottish urban hierarchy – from the largest cities to the smallest towns and villages. Variations between different types of towns are discussed, and local case studies provide further insights. The article provides fresh perspectives on Scottish urbanization, through its snapshot view of Scotland’s towns in the mid-1820s.

We study the local limit in distribution of Bienaymé–Galton–Watson trees conditioned on having large sub-populations. Assuming a generic and aperiodic condition on the offspring distribution, we prove the existence of a limit given by a Kesten’s tree associated with a certain critical offspring distribution.

Despite a long tradition of research on dominant party systems (DPS), comparative analysis remains limited by conceptual ambiguities, regional and historical biases, and the absence of accessible data. This research note introduces the Global Dominant Party Systems (GDPS) Dataset, which includes 187 cases of executive dominance across 106 independent countries from 1900 to 2024, addressing the regional and historical biases that have traditionally plagued the literature. Drawing on foundational theories and refined concepts, the dataset differentiates between dominant parties and DPS and develops the minimal definition of DPS that focuses on executive arena and at least minimally contested elections. The dataset identifies cases with mechanical properties typical of DPS, that is those in which one party (or coalition) consistently monopolizes executive power and electoral competition fails to produce changes in government leadership. Despite setting permissive minimal criteria, the dataset also offers a broad range of variables on democracy, corruption and institutional features which can be used to set different criteria for case selection and conduct robustness checks. The dataset also includes variables on ethnic and opposition fragmentation, voter turnout, economy and population size, enabling researchers to investigate the institutional and socio-economic foundations of dominance across regime types and world regions. Finally, the proposed model of DPS evolution and change can serve as a useful guide for qualitative research on unpacking causal mechanisms. While limited to positive cases of dominance, the dataset offers new potential for cross-regional hypothesis testing and theory development on executive power, party system change, and democratic resilience.

In an observational study, healthcare personnel often entered contact precautions rooms without contacting patients or the environment. An approach requiring gloves and gowns based on actual contacts rather than for all room entries would reduce personal protective equipment donning and doffing time, cost, and carbon footprint by more than half.

Consider a subcritical branching Markov chain. Let $Z_n$ denote the counting measure of particles of generation n. Under some conditions, we give a probabilistic proof for the existence of the Yaglom limit of $(Z_n)_{n\in\mathbb{N}}$ by the moment method, based on the spinal decomposition and the many-to-few formula. As a result, we give explicit integral representations of all quasi-stationary distributions of $(Z_n)_{n\in\mathbb{N}}$, whose proofs are direct and probabilistic, and do not rely on Martin boundary theory.

This paper presents a new problem for the inference rule commonly known as Inference to the Best Explanation (IBE). The problem is that uncertainty about parts of one’s evidence may undermine the inferrability of a hypothesis that would provide the best explanation of that evidence, especially in cases where there is an alternative hypothesis that would provide a better explanation of only the more certain pieces of evidence. A potential solution to the problem is sketched, in which IBE is generalized to handle uncertain evidence by invoking a notion of evidential robustness.