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Attention supports decision making by selecting the features that are relevant for decisions. Selective enhancement of the relevant features and inhibition of distractors has been proposed as potential neural mechanisms driving this selection process. Yet, how attention operates when relevance cannot be directly determined, and the attention signal needs to be internally constructed is less understood. Here we recorded from populations of neurons in the anterior cingulate cortex (ACC) of mice in an attention-shifting task where relevance of stimulus modalities changed across blocks of trials. In contrast with V1 recordings, decoding of the irrelevant modality gradually declined in ACC after an initial transient. Our analytical proof and a recurrent neural network model of the task revealed mutually inhibiting connections that produced context-gated suppression as observed in mice. Using this RNN model we predicted a correlation between contextual modulation of individual neurons and their stimulus drive, which we confirmed in ACC but not in V1. How conflicting contingencies between stimulus and outcome can be resolved by attention are not fully understood. Here authors, combining computational model and experimental approaches, show that mouse anterior cingulate cortex (ACC) effectively operates on low-dimensional neuronal subspaces to combine stimulus-related information with internal cues to drive actions under conflict.

Unsustainable wildlife trade is a major contributor to biodiversity loss; however, trade regulations have failed to prevent the decline of high‐profile species. Where wildlife is traded legally, opportunities exist to launder protected species through legal channels. The legal commercialization of olive ridley sea turtle eggs from Ostional, Costa Rica, has been criticized with some suggesting that the legal trade stimulates illegal extraction and sale of eggs. We aimed to identify whether the traceability rules, under which the Ostional project operates, were suitably robust. We surveyed markets across Costa Rica, by purchasing openly available sea turtle eggs and recording qualitative and quantitative data at the point of sale. We found that 378 (80%) of turtle eggs openly sold in the market were from olive ridley sea turtles. Green (n = 5) and leatherback (n = 6) turtle eggs were only on offer on three occasions, but no vendor referred to Ostional. Vendors frequently breached trade regulations, which appeared to be due to these regulations misaligning with consumer demand. Although the Ostional traceability rules are regularly flouted, we found no evidence that Ostional is being used as a cover to sell eggs from other turtle species. The legal commercialization of olive ridley sea turtle eggs from Ostional, Costa Rica, has been criticized with some suggesting that the legal trade stimulates illegal extraction and sale of eggs. We aimed to identify whether the traceability rules, under which the Ostional project operates, were suitably robust. Although the Ostional traceability rules are regularly flouted, we found no evidence Ostional is being used as a cover to sell eggs from other turtle species.

The book is an exciting source of information for individuals interested in learning about and marketing sensors. The book focuses on scientific and commercial advances in Fiber Bragg Grating (FBG) sensor technology since its discovery over 30 years ago. Discussions on new FBG sensor manufacturing and processing methods are provided by leading experts in the field. Novel applications of FBG sensor technology in engineering, energy, chemical and biological sectors are also included along with a clear identification of commercial opportunities in the next decade.

This study explores and describes the second victim phenomenon in nursing students in association with the characteristics of the clinical learning environment and the clinical supervision process. Qualitative design using conventional content analysis and summative content analysis approaches. From September 2022 to July 2023, in-depth semi-structured individual interviews were conducted with a purposive sample of 10 undergraduate nursing students. Six main themes were developed: ‘defining the physical and psychological responses after the most significant patient safety incident’, ‘analyzing the characteristics of patient safety incidents’, ‘creating a safe learning environment to provide the best care for patients’, ‘developing mentorship capabilities and qualities for an ideal follow up of students as a second victim’, ‘providing resources and integrating support structures to second victim nursing students during their clinical learning’, and ‘considering the cooperation and coordination between the health institution and the higher education institutions.’ Nursing students become second victims during their clinical placement. The clinical learning environment and mentoring characteristics influence the second victim experience.

Measurements indicate that ~85% of the matter in the universe neither emits nor reflects light--appropriately called “dark matter”. We believe dark matter may be primary composed of new particles, but we know very little about their nature. What dark matter is and how it interacts is one of the top cosmological mysteries today. Detecting a signal from particle dark matter would not only offer insight into the fundamental nature of dark matter, but it would also be strong evidence for physics existing beyond the Standard Model. A promising dark matter candidate is a weakly interacting massive particle (WIMP). Measurements indicate that the Milky Way Galaxy resides in a halo of dark matter, making it an ideal laboratory for investigating these elusive particles. As WIMPs are predicted to be heavy, their interactions should produce high-energy gamma rays that would be detected by the Large Area Telescope (LAT) onboard the Fermi Gamma-ray Space Telescope (Fermi). If WIMPs annihilate directly into gamma rays, the gamma-ray energy would be the same as the rest mass energy of the WIMPs, which is currently unknown. This process would cause a “pile-up” of gamma rays at a specific energy, producing a sharp line (or bump) in the otherwise relatively smooth gamma-ray energy spectrum. This distinctive signal would not only be strong evidence for the existence of WIMPs, but would also provide information about their mass. We have searched for spectral lines in the energy range 5 to 300 GeV using 3.7 years of Fermi LAT data, reprocessed with updated calorimeter calibration constants, and an improved energy dispersion model from previous LAT Collaboration line searches. We search in five regions selected to optimize sensitivity to different theoretically-motivated density distributions of WIMPs. We do not find any globally significant lines in our a priori search regions and present 95% confidence limits for annihilation cross section and decay lifetimes. We extensively discuss potential systematic effects in the search. Finally, we consider claims of evidence for a spectral line at 130 GeV, compare our results to previous work, and discuss why this search finds a somewhat lower statistical significance for a potential line than other works.

Historical shifts from integrative health perspectives to compartmentalised frameworks have hindered effective responses to contemporary health challenges. Despite the resurgence of integrative approaches like One Health, Ecohealth, and Planetary Health, operationalising these concepts within socio-ecological systems remains challenging. Health must be reframed as an emergent property of complex socio-ecological systems, requiring actionable systems thinking and approaches that prioritise integration and strategic interventions over reductionist models. Systemic health interventions face context-specific barriers, including fragmented institutional structures, short-term funding models, and the challenge of transdisciplinary collaboration. These barriers can lead to siloed climate adaptation strategies and interventions which, in turn, can have undesirable consequences. We urge policymakers, researchers, and practitioners to co-create integrated governance frameworks prioritising long-term, cross-sectoral collaboration. Institutional transformation—through revised funding mechanisms, shared terminologies, and iterative communication—is critical to embedding systems-based approaches into resilient health strategies. The urgency of global environmental change demands nothing less than a paradigm shift from aspiration to actionable systemic practice.

Attention is a cognitive faculty that selects part of a larger set of percepts, driven by cues such as stimulus saliency, internal goals or priors. The enhancement of the attended representation and inhibition of distractors have been proposed as potential neural mechanisms driving this selection process. Yet, how attention operates when the cue has to be internally constructed from conflicting stimuli, decision rules, and reward contingencies, is less understood. Here we recorded from populations of neurons in the anterior cingulate cortex (ACC), an area implicated in ongoing error monitoring and correction during decision conflicts, in a challenging attention-shifting task. In this task, mice had to attend to the rewarded modality when presented identical auditory and visual stimuli in two contexts without direct external cues. In the ACC, the irrelevant stimulus continuously became less decodable than the relevant stimulus as the trial progressed to the decision point. This contrasted strongly with our previous findings in V1 where both relevant and irrelevant stimuli were equally decodable throughout the trial. Using analytical tools and a recurrent neural network (RNN) model, we found that the linearly independent representation of stimulus modalities in ACC was well suited to context-gated suppression of a stimulus modality. We demonstrated that the feedback structure of lateral connections in the RNN consisted of excitatory interactions between cell ensembles representing the same modality and mutual inhibition between cell ensembles representing distinct stimulus modalities. Using this RNN model showing signatures of context-gated suppression, we predicted that the level of contextual modulation of individual neurons should be correlated with their relative responsiveness to the two stimulus modalities used in the task. We verified this prediction in recordings from ACC neurons but not from recordings from V1 neurons. Therefore, ACC effectively operates on low-dimensional neuronal subspaces to combine stimulus related information with internal cues to drive actions under conflict.

We use data from the Large Area Telescope onboard the Fermi gamma-ray space telescope (Fermi-LAT) to analyze the faint gamma-ray source located at the center of the Sagittarius (Sgr) dwarf spheroidal galaxy. In the 4FGL-DR3 catalog, this source is associated with the globular cluster, M54, which is coincident with the dynamical center of this dwarf galaxy. We investigate the spectral energy distribution and spatial extension of this source, with the goal of testing two hypotheses: (1) the emission is due to millisecond pulsars within M54, or (2) the emission is due to annihilating dark matter from the Sgr halo. For the pulsar interpretation, we consider a two-component model which describes both the lower-energy magnetospheric emission and possible high-energy emission arising from inverse Compton scattering. We find that this source has a point-like morphology at low energies, consistent with magnetospheric emission, and find no evidence for a higher-energy component. For the dark matter interpretation, we find that this signal favors a dark matter mass of \\(m_{\\chi} = 29.6 \\pm 5.8\\) GeV and an annihilation cross section of \\(\\sigma v = (2.1 \\pm 0.59) \\times 10^{-26} \\,\\text{cm}^3/\\)s for the \\(b \\bar{b}\\) channel (or \\(m_{\\chi} = 8.3 \\pm 3.8\\) GeV and \\(\\sigma v = (0.90 \\pm 0.25) \\times 10^{-26} \\, \\text{cm}^3/\\)s for the \\(\\tau^+ \\tau^-\\) channel), when adopting a J-factor of \\(J=10^{19.6} \\, \\text{GeV}^2 \\, \\text{cm}^{-5}\\). This parameter space is consistent with gamma-ray constraints from other dwarf galaxies and with dark matter interpretations of the Galactic Center Gamma-Ray Excess.

Primordial Black Holes (PBHs) are a viable candidate to comprise some or all of the dark matter and provide a unique window into the high-energy physics of the early universe. This white paper discusses the scientific motivation, current status, and future reach of observational searches for PBHs. Future observational facilities supported by DOE, NSF, and NASA will provide unprecedented sensitivity to PBHs. However, devoted analysis pipelines and theoretical modeling are required to fully leverage these novel data. The search for PBHs constitutes a low-cost, high-reward science case with significant impact on the high energy physics community.