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Social interaction is a primary aspect of communicating how others judge us. It allows us to update ourselves and our expectations about others. While humans generally exhibit self-related positive biases in their updating behavior, theoretical accounts propose that this biased processing is attenuated, absent, or negatively biased in participants with depressive symptoms. The process of aligning and integrating social evaluative feedback in realistic interaction scenarios that would test this assumption is, however, lacking. We provide an event-related potential (ERP) study that combines neuronal (feedback-related negativity [FRN] and late positive potential [LPP]) and behavioral measures of evaluative feedback processing and updating behavior.
Methods
We selected healthy adults (N = 62) with depression scores spanning a range of low to high values, as measured by the Beck Depression Inventory (BDI). Participants received feedback from supposed experts and peer senders, with the feedback being manipulated to be worse, congruent, or better than the participants’ self-ratings.
Results
Participants with higher depression scores exhibited more negative initial self-ratings and developed a more negative feedback expectation across the experiment. In addition, we found that higher depression scores led to more negative updating toward worse expert feedback and less positive updating after better peer feedback. Concerning ERPs, unexpected but not self-incongruent feedback increased the FRN, while both types of incongruence increased the LPP. Finally, BDI scores correlated with LPP amplitudes for all feedback.
Conclusions
The results contribute to a deeper understanding of how individuals process and integrate social evaluative feedback and its relation to depressive symptoms.
Chapter 5 explores the imperative need for early warning systems in predicting pluvial flood events in urban areas, focussing on hydraulic interactions and contaminant transport. Urban regions face increased vulnerability due to high population density and extended impervious surfaces. With pluvial floods occurring suddenly and posing a high risk to life and property, the chapter underscores the importance of real-time forecasting to minimise damages. It addresses the challenges in modelling water fluxes in cities, emphasising the complexity of physically based models and input requirements. The discussion extends to the coupling of urban flow and transport models, highlighting the need for efficient control strategies. The chapter also presents a case study in Oberricklingen, Hannover, Germany, showcasing the application of the developed models and concluding that an ANN-based model is optimal for spatially uniform rain events..
Distinguishing viral versus bacterial lower respiratory tract infection (LRTI) is challenging. We previously developed a rapid, host response-based test (Biomeme HR-B/V assay) using peripheral blood samples to identify viral versus bacterial infection. We assessed the performance of this assay when using nasopharyngeal (NP) samples.
Methods:
Patients with LRTI were enrolled, and a NP swab sample was run using the HR-B/V assay (assessing 24 gene targets) on the FranklinTM platform. The performance of the prior classifier at identifying viral versus bacterial infection was assessed. A novel predictive model was generated for NP samples using the same 24 targets. Results were validated using external datasets with nasal/NP RNA sequence data.
Results:
Nineteen patients (median age 62 years, 52.1% male) were included. When using the prior HR-B/V classifier on NP samples of 19 patients with LRTI (12 viral, 7 bacterial), the area under the receiver operator curve (AUC) for viral versus bacterial infection was 0.786 (0.524–1), with accuracy 0.79 (95% CI 0.57–0.91), positive percent agreement (PPA) 0.43 (95% CI 0.16–0.75), and negative percent agreement (NPA) 1.00 (95% CI 0.76–1). The novel model had AUC 0.881 (95% CI 0.726–1), accuracy 0.84 (95% CI 0.62–0.94), PPA 0.86 (95% CI 0.49–0.97), and NPA 0.83 (95% CI 0.55–0.95) for bacterial infection. Validation in two external datasets showed AUC of 0.932 (95% CI 0.90–0.96) and 0.915 (95% CI 0.88–0.95).
Conclusions:
We show that host response in the nasopharynx can distinguish viral versus bacterial LRTI. These findings need to be replicated in larger cohorts with diverse LRTI etiologies.
Rice cultivated under furrow irrigation faces weed management challenges due to the aerobic conditions favoring terrestrial weed emergence, like Palmer amaranth. Fluridone is an HRAC/WSSA Group 12 herbicide recently registered for use in rice, offering an alternative site of action for Palmer amaranth control. Four site-years of field experiments were conducted in 2022 and 2023 in furrow-irrigated rice to assess Palmer amaranth control and crop tolerance to fluridone applied preemergence (PRE) alone or with different postemergence programs. The experiment was a randomized complete block design with a split-plot arrangement and four replications. The whole-plot factor was the postemergence program, while the subplot factor was fluridone applied PRE at 0, 84, 168 (1× labeled rate), and 336 g ai ha−1. Postemergence programs included no herbicide, a single florpyrauxifen-benzyl application at 6 wk after rice emergence (WAE), and a weed-free control. The 2× rate of fluridone caused the greatest visual injury compared to the 0.5× rate across site-years at two and five (WAE), ranging from 8% to 34%. The 1× and 2× rates of fluridone provided the greatest Palmer amaranth density reduction four wk after treatment (WAT). However, the effect diminished or became less prominent by eight WAT, reducing control across fluridone treatments. The follow-up application of florpyrauxifen-benzyl reduced Palmer amaranth density at rice harvest in most instances and diminished seed production by ≥ 94% compared to its absence. Fluridone application, regardless of the rate, did not affect rough rice grain yield under weed-free conditions. These findings suggest that integrating fluridone with a subsequent florpyrauxifen-benzyl application enhances Palmer amaranth management in furrow-irrigated rice compared to fluridone alone. However, sequential applications are needed for successful Palmer amaranth control.
With the introduction of tetflupyrolimet as the first herbicide with a novel site of action in the last three decades, screening for herbicide resistance before commercialization has become integral to ensure successful applications. In the mid-southern United States, tetflupyrolimet is anticipated to be used as a preemergence (PRE) herbicide for barnyardgrass control but does exhibit postemergence (POST) herbicidal activity. In 2020, 45 Echinochloa crus-galli (barnyardgrass) accessions were collected from rice-producing areas in Arkansas and were screened in the greenhouse to tetflupyrolimet at 134 g ai ha-1 PRE and POST at the 2- to 3-leaf growth stage on a silt loam soil. A field experiment was conducted where tetflupyrolimet was applied alone at 134 g ai ha-1 or with clomazone at 336 g ai ha-1, to a susceptible barnyardgrass standard and four other accessions with confirmed resistance to florpyrauxifen-benzyl, imazethapyr, propanil, and quinclorac at the spiking, 1-, 2-, 3-, and 4-leaf stages. For the PRE screening, the percent visible control ranged from 88% to 99%, with some accessions differing in sensitivity to tetflupyrolimet. Percent mortality ranged from 47% to 90% at the PRE timing. Visible control and mortality ranged from 63% to 88% and 7% to 65%, respectively, from a POST application, suggesting there is differential sensitivity and that foliar applications may not be as effective as soil applications. In the field experiment, barnyardgrass accession did not influence POST biomass production and was impacted more by the growth stage at application, although the difference was frequently numerical. In general, applying tetflupyrolimet alone or with clomazone to ≥3 leaf grass compromised performance. Tetflupyrolimet will be better optimized as a soil-applied herbicide in mid-southern U.S. rice culture.
The Hector Galaxy Survey is a new optical integral field spectroscopy (IFS) survey currently using the Anglo-Australian Telescope to observe up to 15 000 galaxies at low redshift ($z \lt 0.1$). The Hector instrument employs 21 optical fibre bundles feeding into two double-beam spectrographs, AAOmega and the new Spector spectrograph, to enable wide-field multi-object IFS observations of galaxies. To efficiently process the survey data, we adopt the data reduction pipeline developed for the SAMI Galaxy Survey, with significant updates to accommodate Hector’s dual-spectrograph system. These enhancements address key differences in spectral resolution and other instrumental characteristics relative to SAMI and are specifically optimised for Hector’s unique configuration. We introduce a two-dimensional arc fitting approach that reduces the root-mean-square (RMS) velocity scatter by a factor of 1.2–3.4 compared to fitting arc lines independently for each fibre. The pipeline also incorporates detailed modelling of chromatic optical distortion in the wide-field corrector, to account for wavelength-dependent spatial shifts across the focal plane. We assess data quality through a series of validation tests, including wavelength solution accuracy (1.2–2.7 km s$^{-1}$ RMS), spectral resolution (FWHM of 1.2–1.4 Å for Spector), throughput characterisation, astrometric precision ($\lesssim$ 0.03 arcsec median offset), sky subtraction residuals (1–1.6% median continuum residual), and flux calibration stability (4% systematic offset when compared to Legacy Survey fluxes). We demonstrate that Hector delivers high-fidelity, science-ready datasets, supporting robust measurements of galaxy kinematics, stellar populations, and emission-line properties and provide examples. Additionally, we address systematic uncertainties identified during the data processing and propose future improvements to enhance the precision and reliability of upcoming data releases. This work establishes a robust data reduction framework for Hector, delivering high-quality data products that support a broad range of extragalactic studies.
The use of extended reality (XR) for education of healthcare personnel (HCP) is increasing. XR equipment is reusable and often shared between HCP in clinical areas; however, it may not include manufacturer’s instructions for use (MIFU) in healthcare settings. Considerations for the selection of equipment and development of cleaning and disinfection protocols are described.
Temporal storm surge clustering refers to a series of events affecting the same region within a short period of time, which can strongly influence coastal flooding impacts and erosion. Here, we analyze global storm surge clustering from tide gauges and a state-of-the-art global model hindcast to identify geographical hotspots of extreme storm surge clusters and assess event frequencies. We study the spatial distribution as well as the contribution of different event intensities to clustering. On average, globally, 92% of coastal locations show significant temporal clustering for 1-year return period events, and 25% for 5-year return level events, although notable spatial differences exist. Our results reveal two distinct clustering regimes: (i) short timescale clustering, where events occur in rapid succession (intra-annual), and (ii) long timescales (inter-annual), providing varying recovery times between events. We also test the validity of assuming a Poisson distribution, commonly used in storm surge frequency analyses. Our results show that >80% of the stations analyzed do not follow a Poisson distribution, at least when including events that are not the most extreme but exceeded, for example, the 1-year return level. These findings offer insights into temporal clustering dynamics of storm surges and their implications for coastal hazard assessments.
This introductory chapter first outlines the aims and history of the international project on Core Concepts in Criminal Law and Criminal Justice. The aims have been inspired by the increasing globalisation of criminal law and criminal justice, which has led to a growing desire to develop common approaches to common problems and to learn from the diversity of current practice in different countries. This has been reinforced by the internationalisation of criminal justice in international and mixed criminal tribunals. There is now a need to engage in a multi-jurisdictional and comparative conceptual analysis not provided by previous comparative projects, which typically focus on specific topics or issues. The chapter then provides an overview of the chapters in the volume, each of which aims to uncover underlying commonalities and differences, and to explore the scope for constructive assimilation or reform. Finally, the chapter comments on plans for the future.
Targeting the glutamatergic system is posited as a potentially novel therapeutic strategy for psychotic disorders. While studies in subjects indicate that antipsychotic medication reduces brain glutamatergic measures, they were unable to disambiguate clinical changes from drug effects.
Aims
To address this, we investigated the effects of a dopamine D2 receptor partial agonist (aripiprazole) and a dopamine D2 receptor antagonist (amisulpride) on glutamatergic metabolites in the anterior cingulate cortex (ACC), striatum and thalamus in healthy controls.
Method
A double-blind, within-subject, cross-over, placebo-controlled study design with two arms (n = 25 per arm) was conducted. Healthy volunteers received either aripiprazole (up to 10 mg/day) for 7 days or amisulpride (up to 400 mg/day) and a corresponding period of placebo treatment in a pseudo-randomised order. Magnetic resonance spectroscopy (1H-MRS) was used to measure glutamatergic metabolite levels and was carried out at three different time points: baseline, after 1 week of drug and after 1 week of placebo. Values were analysed as a combined measure across the ACC, striatum and thalamus.
Results
Aripiprazole significantly increased glutamate + glutamine (Glx) levels compared with placebo (β = 0.55, 95% CI [0.15, 0.95], P = 0.007). At baseline, the mean Glx level was 8.14 institutional units (s.d. = 2.15); following aripiprazole treatment, the mean Glx level was 8.16 institutional units (s.d. = 2.40) compared with 7.61 institutional units (s.d. = 2.36) for placebo. This effect remained significant after adjusting for plasma parent and active metabolite drug levels. There was an observed increase with amisulpride that did not reach statistical significance.
Conclusions
One week of aripiprazole administration in healthy participants altered brain Glx levels as compared with placebo administration. These findings provide novel insights into the relationship between antipsychotic treatment and brain metabolites in a healthy participant cohort.
Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.
Methods
T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).
Results
PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).
Conclusions
PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.
In April 2023, eighteen scholars from nine different subjects representing the humanities, natural and social sciences came together for a one-day workshop at St John’s College, Durham. Despite our differences, all had one aim: the study of past environmental change and its effects on human societies. Talking across disciplinary divides, we discussed what environmental history is, how it may or may not contribute to tackling the climate crisis, and the problems of sources, scale and temporality. This article collects select conversations into a roundtable format split into four areas: scale, time and space, interdisciplinarity, and the future of environmental history. We argue that environmental history is more usefully understood not as a distinct sub-field of history, but as an interdisciplinary meeting place for innovative collaboration. This also presents a model for future research aimed at tackling the climate crisis at higher education institutions.