Validation of the Neuroception of Psychological Safety Scale (NPSS) Among Health and Social Care Workers in the UK.

Psychological safety is essential for rest, recovery, and fostering social connections, particularly for health and social care workers (HSCWs) who frequently operate in high-pressure environments. These workers are prone to traumatic stress, which can elevate their sense of threat and undermine their psychological safety. This study aimed to validate the Neuroception of Psychological Safety Scale (NPSS) among HSCWs in the UK ( = 443).

A journey towards a trauma informed and responsive Justice system: the perspectives and experiences of senior Justice workers.

There is a risk of re-traumatisation for survivors of trauma who engage with the Justice system, given their high propensity to encounter situations that trigger traumatic responses. While a growing body of research has explored the experience of trauma informed practice (TIP) from service user perspectives, little research has incorporated the views and experiences of practitioners working in the Justice system in terms of the implementation of TIP in their service setting. An exploratory, qualitative research design based on semi-structured, in-depth interviews.

Rapid In Situ Near-Infrared Assessment of Tetrahydrocannabinolic Acid in Cannabis Inflorescences before Harvest Using Machine Learning.

Cannabis is cultivated for therapeutic and recreational purposes where delta-9 tetrahydrocannabinol (THC) is a main target for its therapeutic effects. As the global cannabis industry and research into cannabinoids expands, more efficient and cost-effective analysis methods for determining cannabinoid concentrations will be beneficial to increase efficiencies and maximize productivity. The utilization of machine learning tools to develop near-infrared (NIR) spectroscopy-based prediction models, which have been validated from accurate and sensitive chemical analysis, such as gas chromatography (GC) or liquid chromatography mass spectroscopy (LCMS), is essential.

Cavity Controlled Upconversion in CdSe Nanoplatelet Polaritons.

Exciton-polaritons provide a versatile platform for investigating quantum electrodynamics effects in chemical systems, such as polariton-altered chemical reactivity. However, using polaritons in chemical contexts will require a better understanding of their photophysical properties under ambient conditions, where chemistry is typically performed. Here, we used cavity quality factor to control strong light-matter interactions and in particular the excited state dynamics of colloidal CdSe nanoplatelets (NPLs) coupled to a Fabry-Pérot optical cavity.

Room-temperature strong coupling between CdSe nanoplatelets and a metal-DBR Fabry-Pérot cavity.

The generation of exciton-polaritons through strong light-matter interactions represents an emerging platform for exploring quantum phenomena. A significant challenge in colloidal nanocrystal-based polaritonic systems is the ability to operate at room temperature with high fidelity. Here, we demonstrate the generation of room-temperature exciton-polaritons through the coupling of CdSe nanoplatelets (NPLs) with a Fabry-Pérot optical cavity, leading to a Rabi splitting of 74.

A Model of Gastric Mucosal pH Regulation: Extending Sensitivity Analysis Using Sobol' Indices to Understand Higher Moments.

Several recent theoretical studies have indicated that a relatively simple secretion control mechanism in the epithelial cells lining the stomach may be responsible for maintaining a neutral (healthy) pH adjacent to the stomach wall, even in the face of enormous electrodiffusive acid transport from the interior of the stomach. Subsequent work used Sobol' Indices (SIs) to quantify the degree to which this secretion mechanism is "self-regulating" i.e.

Untangling the Molecular Interactions Underlying Intracellular Phase Separation Using Combined Global Sensitivity Analyses.

Liquid-liquid phase separation is an intracellular mechanism by which molecules, usually proteins and RNAs, interact and then rapidly demix from the surrounding matrix to form membrane-less compartments necessary for cellular function. Occurring in both the cytoplasm and the nucleus, properties of the resulting droplets depend on a variety of characteristics specific to the molecules involved, such as valency, density, and diffusion within the crowded environment. Capturing these complexities in a biologically relevant model is difficult.

Efficient Hole Transfer from CdSe Quantum Dots Enabled by Oxygen-Deficient Polyoxovanadate-Alkoxide Clusters.

A limitation of the implementation of cadmium chalcogenide quantum dots (QDs) in charge transfer systems is the efficient removal of photogenerated holes. Rapid hole transfer has typically required the functionalization of hole acceptors with groups that can coordinate to the surface of the QD. In addition to being synthetically limiting, this strategy also necessitates a competitive binding equilibrium between the hole acceptor and native, solubilizing ligands on the nanocrystal.

Development of genomic resources for Rhodes grass (), draft genome and annotated variant discovery.

Genomic resources for grasses, especially warm-season grasses are limited despite their commercial and environmental importance. Here, we report the first annotated draft whole genome sequence for diploid Rhodes grass (), a tropical C4 species. Generated using long read nanopore sequencing and assembled using the Flye software package, the assembled genome is 603 Mbp in size and comprises 5,233 fragments that were annotated using the GenSas pipeline.

Bayesian estimation of viscoelastic properties based on creep responses of wild type, rugose, and mucoid variant biofilms.

biofilms are relevant for a variety of disease settings, including pulmonary infections in people with cystic fibrosis. Biofilms are initiated by individual bacteria that undergo a phenotypic switch and produce an extracellular polymeric slime (EPS). However, the viscoelastic characteristics of biofilms at different stages of formation and the contributions of different EPS constituents have not been fully explored.

A qualitative investigation into the role of illness perceptions in endometriosis-related quality of life.

Endometriosis is related to adverse quality of life (QoL) and wellbeing outcomes. The way in which endometriosis is perceived by individuals experiencing the condition has not been directly considered, yet illness perceptions (IPs) are predictors of QoL in several chronic conditions. This research aims to gain an understanding of the IPs held by individuals experiencing endometriosis and their impact on QoL.

Fine-scale genomic tracking of Ross River virus using nanopore sequencing.

Background: Ross River virus (RRV) is Australia's most common and widespread mosquito-transmitted arbovirus and is of significant public health concern. With increasing anthropogenic impacts on wildlife and mosquito populations, it is important that we understand how RRV circulates in its endemic hotspots to determine where public health efforts should be directed. Current surveillance methods are effective in locating the virus but do not provide data on the circulation of the virus and its strains within the environment.

A mechanistic mathematical model for photo fermentative hydrogen and polyhydroxybutyrate production.

An original mathematical model describing the photo fermentation process is proposed. The model represents the first attempt to describe the photo fermentative hydrogen production and polyhydroxybutyrate accumulation, simultaneously. The mathematical model is derived from mass balance principles and consists of a system of ordinary differential equations describing the biomass growth, the nitrogen and the substrate degradation, the hydrogen and other catabolites production, and the polyhydroxybutyrate accumulation in photo fermentation systems.

Exploring how ecological and epidemiological processes shape multi-host disease dynamics using global sensitivity analysis.

We use global sensitivity analysis (specifically, Partial Rank Correlation Coefficients) to explore the roles of ecological and epidemiological processes in shaping the temporal dynamics of a parameterized SIR-type model of two host species and an environmentally transmitted pathogen. We compute the sensitivities of disease prevalence in each host species to model parameters. Sensitivity rankings are calculated, interpreted biologically, and contrasted for cases where the pathogen is introduced into a disease-free community and cases where a second host species is introduced into an endemic single-host community.

Developing Prediction Models Using Near-Infrared Spectroscopy to Quantify Cannabinoid Content in .

Cannabis is commercially cultivated for both therapeutic and recreational purposes in a growing number of jurisdictions. The main cannabinoids of interest are cannabidiol (CBD) and delta-9 tetrahydrocannabidiol (THC), which have applications in different therapeutic treatments. The rapid, nondestructive determination of cannabinoid levels has been achieved using near-infrared (NIR) spectroscopy coupled to high-quality compound reference data provided by liquid chromatography.

Developing an integrated genomic selection approach beyond biomass for varietal protection and nutritive traits in perennial ryegrass (Lolium perenne L.).

Breeding target traits can be broadened to include nutritive value and plant breeder's rights traits in perennial ryegrass by using in-field regression-based spectroscopy phenotyping and genomic selection. Perennial ryegrass breeding has focused on biomass yield, but expansion into a broader set of traits is needed to benefit livestock industries whilst also providing support for intellectual property protection of cultivars. Numerous breeding objectives can be targeted simultaneously with the development of sensor-based phenomics and genomic selection (GS).

The Cannabis Plant as a Complex System: Interrelationships between Cannabinoid Compositions, Morphological, Physiological and Phenological Traits.

Maintaining specific and reproducible cannabinoid compositions (type and quantity) is essential for the production of cannabis-based remedies that are therapeutically effective. The current study investigates factors that determine the plant's cannabinoid profile and examines interrelationships between plant features (growth rate, phenology and biomass), inflorescence morphology (size, shape and distribution) and cannabinoid content. An examination of differences in cannabinoid profile within genotypes revealed that across the cultivation facility, cannabinoids' qualitative traits (ratios between cannabinoid quantities) remain fairly stable, while quantitative traits (the absolute amount of Δ-tetrahydrocannabinol (THC), cannabidiol (CBD), cannabichromene (CBC), cannabigerol (CBG), Δ-tetrahydrocannabivarin (THCV) and cannabidivarin (CBDV)) can significantly vary.

A transient biological fouling model for constant flux microfiltration.

Microfiltration is a widely used engineering technology for fresh water production and water treatment. The major concern in many applications is the formation of a biological fouling layer leading to increased hydraulic resistance and flux decline during membrane operations. The growth of bacteria constituting such a biological layer implicates the formation of a multispecies biofilm and the consequent increase of operational costs for reactor management and cleaning procedures.

Mathematical Model of Triple-Negative Breast Cancer in Response to Combination Chemotherapies.

Triple-negative breast cancer (TNBC) is a heterogenous disease that is defined by its lack of targetable receptors, thus limiting treatment options and resulting in higher rates of metastasis and recurrence. Combination chemotherapy treatments, which inhibit tumor cell proliferation and regeneration, are a major component of standard-of-care treatment of TNBC. In this manuscript, we build a coupled ordinary differential equation model of TNBC with compartments that represent tumor proliferation, necrosis, apoptosis, and immune response to computationally describe the biological tumor affect to a combination of chemotherapies, doxorubicin (DRB) and paclitaxel (PTX).

Frontline experiences of delivering remote mental health supports during the COVID-19 pandemic in Scotland: innovations, insights and lessons learned from mental health workers.

COVID-19 restrictions drove rapid adaptations to service delivery and new ways of working within Scotland's mental health sector. This study explores mental health workers' (MHWs') experiences of delivering their services remotely. Twenty participants, who had worked in mental health professions in the National Health Service (NHS) in Scotland throughout the COVID-19 pandemic, took part in online semi-structured interviews.

Understanding the Mental Health Impacts of the COVID-19 Pandemic on Railway Workers: Risks and Protective Factors.

Objective: Railway workers have provided an essential service throughout the COVID-19 pandemic. This study explored the effects of COVID-19 on the mental well-being of railway workers (N = 906) in the United Kingdom during the third lockdown period.

Method: The online survey included measures of COVID-19-related risk factors (perceived risk, stress, burnout, trauma) and protective factors (resilience coping, team resilience, general help seeking) associated with mental well-being.

"A new measure of feeling safe: Developing psychometric properties of the Neuroception of Psychological Safety Scale (NPSS)": Correction.

Unlabelled: Reports an error in "A new measure of feeling safe: Developing psychometric properties of the Neuroception of Psychological Safety Scale (NPSS)" by Liza Morton, Nicola Cogan, Jacek Kolacz, Calum Calderwood, Marek Nikolic, Thomas Bacon, Emily Pathe, Damien Williams and Stephen W. Porges (, Advanced Online Publication, Jul 18, 2022, np). In the original article, the first name of Jacek Kolacz was misspelled as "Jakec" in the author byline and twice in the acknowledgments.

COVID-19 vaccine hesitancy among health and social care workers during mass vaccination in Scotland.

Health and social care workers (HSCWs) have an essential role in the uptake of the COVID-19 vaccine. Vaccination is an emotionally charged issue and perceptions of risk associated with COVID19 can contribute towards vaccine hesitancy (VH). The aim of this study was to explore the role of emotion and risk perception associated with HSCWs' uptake of the COVID-19 vaccine during the initial mass roll-out of the vaccine in Scotland.