Cognitive–behavioural therapy (CBT) has been widely used for a broad range of mental health problems for several decades and has been researched extensively. Its techniques are relatively easy to learn and follow in treatment protocols. Many new CBT-based psychotherapies have been developed that go further than traditional CBT, some specifically addressing personality disorders. These so-called third-wave approaches target emotional responses to situations by using strategies such as mindfulness exercises and acceptance of unpleasant thoughts and feelings (observing thoughts as ‘from afar’). In this article, we discuss the historical context of these therapies, dissect common and specific factors in some treatment modalities often used to treat personality disorders, and suggest potential future directions for research and treatment.

Truth is a property of our statements and of our thoughts, but also what these aim at, and a norm for our thinking in general. But how to understand this normative tie between belief and truth? Norms by themselves seem unable to motivate or to guide us. These difficulties are stated, and the answer given is that the norm of belief is actually knowledge, which explains why we value it, and how it can also be a value.

Angiostrongylus cantonensis, the rat lungworm, is a zoonotic parasite mainly of rats which act as definitive hosts. If humans become accidentally infected, the nematode is capable of migrating to the brain causing meningoencephalitis. Intermediate hosts are snails and slugs. Although originating from mainland China, A. cantonensis has now spread to various countries and continents. The precise timing of its departure from mainland China remains uncertain although it is often associated with significant historical events or migratory movements. The exit of A. cantonensis from mainland China is believed to have occurred in a singular event, followed by its divergence into 2 distinct clades: clade I, originating from mainland China, and clade II, representing global spread. Angiostrongylus cantonensis was first identified in continental Europe in 2021, specifically in Valencia, Spain. Illumina genome sequencing of 7 individuals isolated from rats captured in 2 different districts in the city of Valencia was carried out. The complete mitochondrial genome was assembled and compared with published A. cantonensis mitochondrial genomes through Bayesian phylogenetic analysis, both for complete mitochondrial genomes and for the cytochrome c oxidase I gene, given its widespread use for identification of the species. The findings revealed the presence of 2 different A. cantonensis haplotypes in the rats studied in Valencia, both belonging to clade II. In 2 rats both clades were present.

Incorporating contextual factors into engineering design processes is recommended to develop solutions that function appropriately in their intended use contexts. In global health settings, failing to tailor solutions to their broader context has led to many product failures. Since prior work has thus far not investigated the use of contextual factors in global health design practice, we conducted semi-structured interviews with 15 experienced global health design practitioners. Our analysis identified 351 instances of participants incorporating contextual factors in their previous design experiences, which we categorized into a taxonomy of contextual factors, including 9 primary and 32 secondary classifications. We summarized and synthesized key patterns within all the identified contextual factor categories. Next, this study presents a descriptive model for incorporating contextual factors developed from our findings, which identifies that participants actively sought contextual information and made conscious decisions to adjust their solutions, target markets and implementation plans to accommodate contextual factors iteratively throughout their design processes. Our findings highlight how participants sometimes conducted formal evaluations while other times they relied on their own experience, the experience of a team member or other stakeholder engagement strategies. The research findings can ultimately inform design practice and engineering pedagogy for global health applications.

Several real-world optimization problems are dynamic and involve a number of objectives. Different researches using evolutionary algorithms focus on these characteristics, but few works investigate problems that are both dynamic and many-objective. Although widely investigated in formulations with multiple objectives, the evolutionary approaches are still challenged by the dynamic multiobjective optimization problems defining a relevant research topic. Some models have been proposed specifically to attack them as the well-known DNSGA-II and MS-MOEA algorithms, which have been extensively investigated on formulations with two or three objectives. Recently, the D-MEANDS algorithm was proposed for dynamic many-objective problems (DMaOPs). In a previous work, D-MEANDS was confronted to DNSGA-II and MS-MOEA solving dynamic many-objective scenarios of the knapsack problem: up to six objectives with five changes or four objectives with ten changes. In this work, we evaluate the behavior of such algorithms in instances up to eight objectives and twenty environmental changes. These enabled us to better understand D-MEANDS weak points which led us to the proposition of D-MEANDS-MD. The proposal offers a better balance between memory and diversity. We also included a more recent MOEA in this comparison: the DDIS-MOEA/D-DE. From the results obtained using 27 instances of the dynamic multiobjective knapsack problem, D-MEANDS-MD showed promise for solving discrete DMaOPs compared with the others.

The reign of Tammarītu is one of the most enigmatic parts of Neo-Elamite history because documents have attested that two individuals with that name but two different titles, “king of Ḫidalu” and “king of Elam,” played significant roles in the historical events. The lack of dates in many documents complicates establishing a secure chronology and attributing events to Tammarītu, king of Ḫidalu, or Tammarītu II/Tammarītu, king of Elam. Scholars generally agree that the documents in which Tammarītu is called “king of Elam” cannot be attributed to Tammarītu, king of Ḫidalu. However, a comparison of Ashurbanipal's annals with other available documents does not support this viewpoint.

Globally, the grey-headed albatross Thalassarche chrysostoma is listed as Endangered due to decreasing populations at its major breeding colonies. We analysed the population trend at Marion Island using annual counts of incubating pairs and fledglings from 1984 to 2021 and three methods: TRends and Indices for Monitoring data (TRIM), a generalized additive model and a state-space model. In contrast to rapid decreases at most other colonies, all three methods indicated a local population increase at an average annual rate of 1.3%. The latter two models indicated a decreasing trend from 1997 to 2002, presumably related to mortality on longlines set for Patagonian toothfish Dissostichus eleginoides around the island, which peaked from 1996 to 1998. Grey-headed albatrosses exhibit greater variation in annual counts than other seabird species at Marion Island, possibly linked to interannual variation in breeding success because they are biennial breeders. However, breeding success alone was not significant in any of the models, presumably because it cannot capture the complexities of both population processes and environmental variation. Although all three models predicted the overall trends well, integrated population models, which can account for demographic processes, might be more appropriate to model long-term population trends.

A detailed exploration is presented of the integration of human–machine collaboration in governance and policy decision-making, against the backdrop of increasing reliance on artificial intelligence (AI) and automation. This exploration focuses on the transformative potential of combining human cognitive strengths with machine computational capabilities, particularly emphasizing the varying levels of automation within this collaboration and their interaction with human cognitive biases. Central to the discussion is the concept of dual-process models, namely Type I and II thinking, and how these cognitive processes are influenced by the integration of AI systems in decision-making. An examination of the implications of these biases at different levels of automation is conducted, ranging from systems offering decision support to those operating fully autonomously. Challenges and opportunities presented by human–machine collaboration in governance are reviewed, with a focus on developing strategies to mitigate cognitive biases. Ultimately, a balanced approach to human–machine collaboration in governance is advocated, leveraging the strengths of both humans and machines while consciously addressing their respective limitations. This approach is vital for the development of governance systems that are both technologically advanced and cognitively attuned, leading to more informed and responsible decision-making.

This article explores the Musical Design course offered at McGill University by Mario Bertoncini in 1975–6 in a collaboration between the music department and the department of mechanical engineering. Some of the students independently created a collective named Sonde (originally named MuD from the name of the course). This unique pedagogical experience, influenced by Bertoncini’s understanding of craftmanship in Renaissance workshops, will be presented as an antecedent of research-creation or artistic practice as research, a ubiquitous and vastly recognised modality of research that has been gaining more and more traction since the early 2000s.

Genocide Convention — justiciability of foreign state acts — Uyghurs

We study numerically the flow around a spherical droplet set fixed in a linear shear flow with moderate shear rates ($Sr\leq 0.5$, $Sr$ being the ratio between the velocity difference across the drop and the relative velocity) over a wide range of external Reynolds numbers ($0.1<{{Re}}\leq 250$, ${{Re}}$ based on the slip velocity and the viscosity of the external fluid) and drop-to-fluid viscosity ratios ($0.01\leq \mu ^\ast \leq 100$). The flow structure, the vorticity field and their intrinsic connection with the lift force are analysed. Specifically, the results on lift force are compared with the low-${{Re}}$ solution derived for droplets of arbitrary $\mu ^\ast$, as well as prior data at finite ${{Re}}$ available in both the clean-bubble limit ($\mu ^\ast \to 0$) and the solid-sphere limit ($\mu ^\ast \to \infty$). Notably, at ${{Re}}=O(100)$, the lift force exhibits a non-monotonic transition from $\mu ^\ast \to 0$ to $\mu ^\ast \to \infty$, peaking at $\mu ^\ast \approx 1$. This behaviour is related to an internal three-dimensional flow bifurcation also occurring under uniform-flow conditions, which makes the flow to evolve from axisymmetric to biplanar symmetric. This flow bifurcation occurs at low-but-finite $\mu ^\ast$ when the internal Reynolds number (${{Re}}^i$, based on the viscosity of the internal fluid) exceeds approximately 300. In the presence of shear, the corresponding imperfect bifurcation enhances the extensional rate of the flow in the wake. Consequently, the streamwise vortices generated behind the droplet can be more intense compared with those behind a clean bubble. Given the close relation between the lift and these vortices, a droplet with ${{Re}}=O(100)$ and $\mu ^\ast \approx 1$ typically experiences a greater lift force than that in the inviscid limit.