The Caribbean islands represent some of the most biologically diverse places on Earth, but much of that diversity is now at risk due to human impact. Larger islands in the Caribbean host more native species, but small islands still hold together a significant portion of the regional biota. Although our knowledge of extinct and extirpated taxa continues to improve, there are hundreds of islands, each with their own unique faunal histories from where there is little information about their ancient diversity. Sombrero is a very small island (0.38 km2) located within the limits between the Greater and Lesser Antilles and is largely barren of vegetation and freshwater. The island was extensively mined for bird guano in the 1800s, which profoundly altered its topography and fauna. Here, we describe a collection of microvertebrates recovered in 1964 from Sombrero, which documents an unexpectedly high number of colonization events and high extinction rate for this territory. The late Quaternary deposits from the island contain remains of five types of lizards, a snake, a tortoise, and an anuran that colonized the island once it became aerially exposed in the early Pleistocene. The ability for such a small, remote island to have eight colonizing taxa in < 2.5 Ma, provides support for the role that island hopping played in regional biodiversity in the Cenozoic (e.g., GAARlandia), even across small, barren islands. Furthermore, these fossils further show that large scale defaunation also affected vertebrate communities on very small islands in the Caribbean.

Ion cyclotron resonance heating is a versatile heating method that has been demonstrated to be able to efficiently couple power directly to the ions via the fast magnetosonic wave. However, at temperatures relevant for reactor grade devices such as DEMO, electron damping becomes increasingly important. To reduce electron damping, it is possible to use an antenna with a power spectrum dominated by low parallel wavenumbers. Moreover, using an antenna with a unidirectional spectrum, such as a travelling wave array antenna, the parallel wavenumber can be downshifted by mounting the antenna in an elevated position relative to the equatorial plane. This downshift can potentially enhance ion heating as well as fast wave current drive efficiency. Thus, such a system could benefit ion heating during the ramp-up phase and be used for current drive during flat-top operation. To test this principle, both ion heating and current drive have been simulated in a DEMO-like plasma for a few different mounting positions of the antenna using the FEMIC code. We find that moving the antenna off the equatorial plane makes ion heating more efficient for all considered plasma temperatures at the expense of on-axis heating. Moreover, although current drive efficiency is enhanced, electron damping is reduced for lower mode numbers, thus reducing the driven current in this part of the spectrum.

Therapeutic positioning reports (IPTs, Spanish acronym) are a crucial tool for informing funding and pricing decisions for drugs in the Spanish healthcare system. In 2020, for the first time the inclusion of economic evaluations (EEs) was explicitly set as a primary objective in a new Action Plan aimed at consolidating IPTs. This paper seeks to examine the uptake of EE into IPTs and to compare the methods and techniques employed in the EEs conducted during the two-year pilot phase following the reform, i.e., from June 2021 to July 2023. During this period, a total of 181 IPTs were published, with 19 (10.5%) incorporating an EE section. However, out of these 19 identified IPTs, six did not actually conduct a de novo EE, and four only performed a drug cost minimisation analysis. Six IPTs conducted EE analyses following international methodological standards. Based on this review, we observe that the percentage of IPTs incorporating EEs had remained low and exhibited significant heterogeneity. The experience of these two years must be translated into lessons that can serve to reinforce the evaluation of the efficiency of medicines in Spain in the coming years.

Summary: Apathy is one of the most common neuropsychiatric symptoms in dementia, mainly in Alzheimer’s disease and lobar frontal degeneration. Although diagnostic criteria guidelines have been developed to facilitate diagnosis and multiple drugs have been evaluated for treatment, apathy remains a very important challenge in clinical practice. The Objectives of the symposium is that specialists from Favaloro Foundation University Hospital Memory clinic in Buenos Aires provide an update on the evidence available for both the apathy diagnosis and treatment (pharmacological and non-pharmacological) patients with dementia, as well as showing that will come in the near future. The specialists will base the dissertation both on the available evidence and on their robust clinical experience in the dementia field. The presentation will focus on the available evidence diagnosis, differential diagnosis, and the best therapeutic tools available, pharmacological and non-pharmacological. Learning and knowing about apathy is essential for correct management.

Up today, apathy diagnosis is based on clinical signs and symptoms. General diagnostic criteria and specific criteria for some diseases have been developed. Memory clinic specialist will show the available tools and evidence for apathy diagnosis, the best way to differentiate from other similar disease/symptoms and will provide their robust clinical experience in this field.

Treatment of apathy is still a challenge in clinical practice. Several pharmacological treatments did not show clear symptoms improvement so non pharmacological treatment has become a fundamental tool for the patients- A specialized neurophysiologist will provide the actual techniques utilized in daily practice to treat apathy in dementia patients.

Pharmacological treatment for apathy is still a challenge. Multiple drugs have been tested in clinical trials but without significant symptoms improvement. Memory clinic specialist will show available evidence for pharmacological treatment for apathy and will provide their experience in clinical practice for subject management.

Considering that available pharmacological treatment for apathy did not show strong symptoms improvement, there is an unmet need to find a treatment for apathy- Specialist will present available information for ongoing research for apathy.

In environmental science, where information from sensor devices are sparse, data fusion for mapping purposes is often based on geostatistical approaches. We propose a methodology called adaptive distance attention that enables us to fuse sparse, heterogeneous, and mobile sensor devices and predict values at locations with no previous measurement. The approach allows for automatically weighting the measurements according to a priori quality information about the sensor device without using complex and resource-demanding data assimilation techniques. Both ordinary kriging and the general regression neural network (GRNN) are integrated into this attention with their learnable parameters based on deep learning architectures. We evaluate this method using three static phenomena with different complexities: a case related to a simplistic phenomenon, topography over an area of 196 $ {km}^2 $ and to the annual hourly $ {NO}_2 $ concentration in 2019 over the Oslo metropolitan region (1026 $ {km}^2 $). We simulate networks of 100 synthetic sensor devices with six characteristics related to measurement quality and measurement spatial resolution. Generally, outcomes are promising: we significantly improve the metrics from baseline geostatistical models. Besides, distance attention using the Nadaraya–Watson kernel provides as good metrics as the attention based on the kriging system enabling the possibility to alleviate the processing cost for fusion of sparse data. The encouraging results motivate us in keeping adapting distance attention to space-time phenomena evolving in complex and isolated areas.

Virtual reality (VR) is a technology that allows to interact with recreated digital environments and situations with enhanced realism. VR has shown good acceptability and promise in different mental health conditions. No systematic review has evaluated the use of VR in Bipolar Disorder (BD). This PRISMA-compliant systematic review searched PubMed and Web of Science databases (PROSPERO: CRD42023467737) to identify studies conducted in individuals with BD in which VR was used. Results were systematically synthesized around four categories (cognitive and functional evaluation, clinical assessment, response to VR and safety/acceptability). Eleven studies were included (267 individuals, mean age = 36.6 years, 60.7% females). Six studies using VR to carry out a cognitive evaluation detected impairments in neuropsychological performance and delayed reaction times. VR was used to assess emotional regulation. No differences in well-being between VR-based and physical calm rooms were found. A VR-based stress management program reduced subjective stress, depression, and anxiety levels. VR-based cognitive remediation improved cognition, depressive symptoms, and emotional awareness. 48.7% of the individuals with BD considered VR-based cognitive remediation ‘excellent’, whereas 28.2% considered it ‘great’. 87.2% of individuals did not report any side effects. 81.8% of studies received a global quality rating of moderate. Emerging data point towards a promising use of VR in BD as an acceptable assessment/intervention tool. However, multiple unstudied domains as comorbidity, relapse and prodromal symptoms should be investigated. Research on children and adolescents is also recommended. Further research and replication of findings are required to disentangle which VR-interventions for which populations and outcomes are effective.

This paper outlines the results of particle-in-cell simulations of a relativistic magnetron with six cavities and a transparent cathode configuration. Excitation of the π mode in the interaction region was attained, which in turn led to $\textrm{TE}_{11}$ mode emission of microwaves to the waveguide. This mode transformation was achieved with a non-symmetric diffraction output, consisting of four large and two small tapered cavities. Simulations were performed with a voltage across the anode-cathode gap varying from 164 to 356 kV, and axial magnetic field strengths between 0.24 and 0.34 T. Maximum efficiency of 37% was obtained with a peak output power of 590 MW, having a voltage of 261 kV and a magnetic field of 0.30 T. Furthermore, a frequency of 2.57 GHz and a rise time of microwaves at the waveguide of 15 ns were demonstrated. The electron leakage current was shown to decrease from ∼10$\%$ to less than $1\%$ when employing a longer interaction region, while still exhibiting good performance. Additionally, we show that there is an optimal range of voltages given a magnetic field, for which π mode excitation with high efficiency is attained.

Duration of untreated psychosis (DUP) has been associated with poor mental health outcomes. We aimed to meta-analytically estimate the mean and median DUP worldwide, evaluating also the influence of several moderating factors. This PRISMA/MOOSE-compliant meta-analysis searched for non-overlapping individual studies from inception until 9/12/2022, reporting mean ± s.d. or median DUP in patients with first episode psychosis (FEP), without language restrictions. We conducted random-effect meta-analyses, stratified analyses, heterogeneity analyses, meta-regression analyses, and quality assessment (PROSPERO:CRD42020163640). From 12 461 citations, 369 studies were included. The mean DUP was 42.6 weeks (95% confidence interval (CI) 40.6–44.6, k = 283, n = 41 320), varying significantly across continents (p < 0.001). DUP was (in descending order) 70.0 weeks (95% CI 51.6–88.4, k = 11, n = 1508) in Africa; 48.8 weeks (95% CI 43.8–53.9, k = 73, n = 12 223) in Asia; 48.7 weeks (95% CI 43.0–54.4, k = 36, n = 5838) in North America; 38.6 weeks (95% CI 36.0–41.3, k = 145, n = 19 389) in Europe; 34.9 weeks (95% CI 23.0–46.9, k = 11, n = 1159) in South America and 28.0 weeks (95% CI 20.9–35.0, k = 6, n = 1203) in Australasia. There were differences depending on the income of countries: DUP was 48.4 weeks (95% CI 43.0–48.4, k = 58, n = 5635) in middle-low income countries and 41.2 weeks (95% CI 39.0–43.4, k = 222, n = 35 685) in high income countries. Longer DUP was significantly associated with older age (β = 0.836, p < 0.001), older publication year (β = 0.404, p = 0.038) and higher proportion of non-White FEP patients (β = 0.232, p < 0.001). Median DUP was 14 weeks (Interquartile range = 8.8–28.0, k = 206, n = 37 215). In conclusion, DUP is high throughout the world, with marked variation. Efforts to identify and intervene sooner in patients with FEP, and to promote global mental health and access to early intervention services (EIS) are critical, especially in developing countries.

During winter 2020–2021, Los Angeles County suffered a brutal third wave of the COVID-19 pandemic. Latinxs, who account for 49 percent of the local population, were disproportionately devastated by high numbers of COVID-19-positive cases and alarming increases in mortality rates. Despite the popular perception that all musicians were silenced during the pandemic, I draw from my personal experience as a mariachi and those of my musical colleagues to document the impact of systemic marginalisation on the lives of mariachi musicians and how we responded to the pandemic by supporting each other and our community through performances.

Racism in social media is ubiquitous, persisting online in ways unique to the internet while also reverberating from the world offline. When will racist frames activate in social media networks? This article argues that social media users engage with racist content when they perceive a threat to the in-group status, selecting frames that serve as markers to separate the in-group identity from the out-group identity. Racialized frames serve as these markers, and the perceived threats to the in-group status make racist content cognitively congruent. Evidence of this behavior is provided by examining Twitter activity during the indígena protests in Ecuador in October 2019. A novel, multistep machine-learning process detects racist tweets, and an interrupted time series analysis shows how events that can be perceived as threats to the in-group activate racist content in some social media communities.

We evaluate Dijksterhuis, Bos, van der Leij, & van Baaren (2009), Psychological Science, on the benefit of unconscious thinking in predicting the outcomes of soccer matches. We conclude that the evidence that unconscious thinking helps experts to make better predictions is tenuous both from theoretical and statistical perspectives.