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A pair of authors urge readers to confront society's shortcomings and build a better future.There has been a long-standing demand for noninvasive neuroimaging methods that can detect neuronal activity at both high temporal and high spatial resolution. We present a two-dimensional fast line-scan approach that enables direct imaging of neuronal activity with millisecond precision while retaining the high spatial resolution of magnetic resonance imaging (MRI). This approach was demonstrated through in vivo mouse brain imaging at 9.4 tesla during electrical whisker-pad stimulation. In vivo spike recording and optogenetics confirmed the high correlation of the observed MRI signal with neural activity. It also captured the sequential and laminar-specific propagation of neuronal activity along the thalamocortical pathway. This high-resolution, direct imaging of neuronal activity will open up new avenues in brain science by providing a deeper understanding of the brain's functional organization, including the temporospatial dynamics of neural networks.Reverence for old trees sparked early forest conservation efforts, even as ancient woodlands were cut with impunity.Analysis of Rubisco evolution could inform how to engineer a better enzyme.Mutations helped animals adapt to extreme temperatures, low oxygen.Rocky meteor suggests distant cloud of comets also contains asteroids.Costly adaptations help stave off effects of wildfires, storms, and hot weather.Trio of researchers pioneered “click chemistry” to design drugs and industrial materials.Authors were dropped from broader Lancet review. Immunotherapy is now considered as the new pillar in treatment of cancer patients. Dendritic cells (DCs) play an essential role in stimulating anti-tumor immune responses, as they are capable of cross-presenting exogenous tumor antigens in MHCI complexes to activate naïve CD8+ T cells. Analgesics, like non-steroid anti-inflammatory drugs (NSAIDs), are frequently given to cancer patients to help relieve pain, however little is known about their impact on DC function. Here, we investigated the effect of the NSAIDs diclofenac, ibuprofen and celecoxib on the three key processes of DCs required for proper CD8+ cytotoxic T cell induction antigen cross-presentation, co-stimulatory marker expression, and cytokine production. Our results show that TLR-induced pro- and anti-inflammatory cytokine excretion by human monocyte derived and murine bone-marrow derived DCs is diminished after NSAID exposure. These results indicate that various NSAIDs can affect DC function and warrant further investigation into the impact of NSAIDs on DC priming of T cells and cancer immunotherapy efficacy. These results indicate that various NSAIDs can affect DC function and warrant further investigation into the impact of NSAIDs on DC priming of T cells and cancer immunotherapy efficacy. Schistosomiasis control relies mainly on mass drug administration of Praziquantel (PZQ) to school aged children (SAC). Although precision mapping has recently guided decision making, the sub-districts and the epidemiological differences existing between bio-ecological settings in which infected children come from were not taken into consideration. This study was designed to fill this gap by using POC-CCA and KK to comparatively determine the prevalence and infection intensities of Schistosoma mansoni (S. Tretinoin mansoni) and to perform fine-scale mapping of S. mansoni infections and its infection intensities with the overarching goal of identifying sub-districts presenting high transmission risk where control operations must be boosted to achieve schistosomiasis elimination. During a cross- sectional study conducted in Makenene, 1773 stool and 2253 urine samples were collected from SAC of ten primary schools. S. mansoni infections were identified using the point of care circulating cathodic antigen (POC-CCA) and e infection and bearing different schistosome burden. Fine-scale mapping of schistosome infections and infection intensities enabled to identify high transmission sub-districts where control measures must be boosted to reach schistosomiasis elimination.In this study we explore the potential of combining traditional zooarchaeological determination and proteomic identification of morphologically non-diagnostic bone fragments (ZooMS) collected from the Uluzzian levels of three Italian sites Uluzzo C Rock Shelter, Roccia San Sebastiano cave, and Riparo del Broion. Moreover, we obtained glutamine deamidation ratios for all the contexts analysed during routine ZooMS screening of faunal samples, giving information on collagen preservation. We designed a selection protocol that maximizes the efficiency of the proteomics analyses by excluding particularly compromised fragments (e.g. from taphonomic processes), and that aims to identify new human fragments by favouring bones showing morphological traits more similar to Homo. ZooMS consistently provided taxonomic information in agreement with the faunal spectra outlined by traditional zooarchaeology. Our approach allows us to delineate and appreciate differences between the analysed contexts, particularly between the northern and southern sites, related to faunal, environmental, and climate composition, although no human remains were identified. We reconstructed the faunal assemblage of the different sites, giving voice to morphologically undiagnostic bone fragments. Thus, the combination of these analyses provides a more complete picture of the faunal assemblage and of the paleoenvironment during the Middle-Upper Palaeolithic transition in Italy.According to the transdiagnostic perspective, psychological disorders share common cognitive processes involved in their pathogenesis. One dysfunctional belief that has been found to be associated with several psychological disorders, including major depressive disorder (MDD) and obsessive-compulsive disorder (OCD), is perfectionism. Perfectionism comprises two factors, namely, perfectionistic strivings and perfectionistic concerns. This study aims to replicate and extend previous research in several ways. We aimed to assess similarities between the two disorders using Bayesian statistics. Furthermore, as dysfunctional beliefs are assumed to not be fully accessible by introspection, we included an indirect measure (perfectionism single category implicit association task; SC-IAT). The SC-IAT and a self-report measure of perfectionism (FMPS) was used in patients with MDD (n = 55), OCD (n = 55), and in healthy controls (n = 64). In replication of previous findings, patients with MDD and OCD differed from healthy controls regarding self-reported perfectionism scores. Furthermore, Bayesian statistics showed that the two patient groups did not differ regarding perfectionistic strivings and only showed differences on perfectionistic concerns, when the doubts about actions subscale-which is also closely related to symptoms of OCD-was included. Contrary to our expectations, the SC-IAT did not discriminate groups. In conclusion, these results give further evidence that self-reported perfectionism may serve as a relevant transdiagnostic process. More studies are needed to assess implicit facets of perfectionism.The Philippine government significantly raised cigarette excise taxes in 2013, following passage of the landmark Sin Tax Reform Act of 2012. As a result, cigarette prices increased substantially. Given varying smokers' responses to the price increase, we examined underlying typologies of Filipino smokers and assessed how these typologies determine smoking intensity. We used cross-sectional data from the 2015 wave of the Philippine Global Adult Tobacco Survey (N = 1,651). To uncover typologies, random effects latent class modelling was used on six individual smoker responses (attempting to stop, thinking about quitting, decreasing sticks smoked, switching to cheaper brands, buying in bulk, and asking from others). Bivariate and multivariate analyses were employed to uncover determinants of typologies and smoking intensity. We found two typologies based on smokers' response. The first group, called “potential quitters” (62.62%), is composed of smokers who are more likely to consider quitting and decrease sticks smoked. The second group, called “unlikely to quit” (37.38%), have smokers who opt for price-minimization strategies like switching to cheaper brands, buying in bulk, or asking cigarettes from others. Potential quitters tend to be female, a student, and less nicotine dependent. They smoke up to three fewer sticks than those unlikely to quit, controlling for other factors. Nicotine dependence stood out as the most important predictor of being in the unlikely to quit group. The dominant role of nicotine dependence in determining a smoker's typology points to the need for non-price based measures, such as those targeted towards highly-nicotine dependent smokers, to complement tax-induced price increases and comprehensively address the smoking problem.Major storms can alter coastal ecosystems in several direct and indirect ways including habitat destruction, stormwater-related water quality degradation, and organism mortality. From 2010-2020, ten tropical cyclones impacted coastal North Carolina, providing an opportunity to explore ecosystem responses across multiple storms. Using monthly trawl and contemporaneous seagrass surveys conducted in Back Sound, NC, we evaluated how cyclones may affect the nursery role of shallow-water biogenic habitats by examining seagrass-associated fish responses within a temperate-subtropical estuary. We employed a general before-after-control-impact approach using trawls conducted prior (before) and subsequent (after) to storm arrival and years either without (control) or with (impact) storms. We examined whether effects were apparent over short (within ~three weeks of impact) and seasonal (May-October) timescales, as well as if the magnitude of storm-related shifts varied as a function of storm intensity. Our findings suggest that the ability of these shallow-water habitats to support juvenile fishes was not dramatically altered by hurricanes. The resilience exhibited by fishes was likely underpinned by the relative persistence of the seagrass habitat, which appeared principally undamaged by storms based upon review of available-albeit limited seagrass surveys. Increasing cyclone intensity, however, was correlated with greater declines in catch and may potentially underlie the emigration and return rate of fish after cyclones. Whether estuarine fishes will continue to be resilient to acute storm impacts despite chronic environmental degradation and predicted increases major tropical cyclone frequency and intensity remains a pressing question.Computer vision is a tool that could provide livestock producers with digital body measures and records that are important for animal health and production, namely body height and length, and chest girth. However, to build these tools, the scarcity of labeled training data sets with uniform images (pose, lighting) that also represent real-world livestock can be a challenge. Collecting images in a standard way, with manual image labeling is the gold standard to create such training data, but the time and cost can be prohibitive. We introduce the PreciseEdge image segmentation algorithm to address these issues by employing a standard image collection protocol with a semi-automated image labeling method, and a highly precise image segmentation for automated body measurement extraction directly from each image. These elements, from image collection to extraction are designed to work together to yield values highly correlated to real-world body measurements. PreciseEdge adds a brief preprocessing step inspired by chromakey to a modified GrabCut procedure to generate image masks for data extraction (body measurements) directly from the images.