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Food security constitutes a worldwide concern closely correlated with population growth. By 2050, the global population is expected to reach 9.3 billion(1). The rising population, along with increasing life expectancy and shifts toward Western dietary patterns, is expected to drive higher food demand and contribute to a rise in metabolic conditions(2). In this context, looking for alternative and sustainable food and protein sources is imperative. Pasture legumes including lucerne (Medicago sativa) and red clover (Trifolium pratense) are becoming popular as they can be used as an alternative protein and functional food source. Both crops play an important role in New Zealand’s agriculture. Their seeds can be used in human nutrition as alternative food and protein options; however, the presence of anti-nutritional factors (ANF) and their distinct taste make them less favourable for human consumption. Fermentation can be used as a possible strategy to mitigate these limitations. Lactobacillus fermentation was conducted using Lactocillus plantarum, Lactobacillus. acidophilus and Lactobacillus. casei. Proximate composition and mineral content were determined following Association of Official Analytical Chemists (AOAC) methods. Total phenol content (TPC), total flavonoid content (TFC) and antioxidant activity (2,2-Diphenyl-1-picrylhydrazyl and 2,2′-azino-bis-(3-ethylbenzothiazoline-6-sulfonic) acid) and ANF including phytic acid, trypsin, and chymotrypsin inhibition were assessed using colourimetric techniques. For the enzyme inhibition assays, enzyme-substrate reactions were performed with sample extracts before measurement. All the experiments were replicated three times, and the results were expressed as mean ± SD. A factorial analysis of variance (ANOVA) was conducted (4 legume seed samples × 3 LAB cultures) with a Tukey’s post-hoc test for mean comparison at P < 0.05 using IBM SPSS Statistics 29.0. All the legume seeds demonstrated high nutritional content, with crude protein and fibre levels around 40 and 16% respectively. The seeds were also rich in minerals, particularly magnesium, phosphorus, iron and zinc. In addition, fermentation led to an increase (P < 0.05) in TPC, TFC and antioxidant activity, while significantly reducing ANF. For instance, fermentation led to an increase in TPC (18.8 to 47.1% increase), TFC (9.6 to 34.5% increase) and AOA via DPPH and ABTS. Lactobacillus fermentation has proven to be an effective processing technique to enhance the nutritional value of lucerne and red clover seeds. These findings support the potential of using fermentation to develop novel and sustainable protein sources, contributing to improved dietary quality and nutrition. Moreover, further work to study the effect of fermentation on the nutrient digestibility of lucerne and red clover seeds is warranted.
It has been observed that the number of different ways in which a graph with p points can be labelled is p! divided by the number of symmetries, and that this holds regardless of the species of structure at hand. In this note, a simple group-theoretic proof is provided.
The theoretical basis for the Johnson-Neyman Technique is here presented for the first time in an American journal. In addition, a simplified working procedure is outlined, step-by-step, for an actual problem. The determination of significance is arrived at early in the analysis; and where no significant difference is found, the problem is complete at this point. The plotting of the region of significance where a significant difference does exist has also been simplified by using the procedure of rotation and translation of axes.
Preventing psychiatric admissions holds benefits for patients as well as healthcare systems. The Clinical Global Impression-Severity (CGI-S) scale is a 7-point measurement of symptom severity, independent of diagnosis, which has shown capability of predicting risk of hospitalisation in schizophrenia. Due to its routine use in clinical practice and ease of administration, it may have potential as a transdiagnostic predictor of hospitalisation.
Objectives
To investigate whether early trajectories of CGI-S scores predict risk of hospitalisation over a 6 month-follow-up period.
Methods
A retrospective cohort study was conducted, analysing Electronic Health Record (EHR) data from the NeuroBlu Database (Patel et al. BMJ Open 2022;12:e057227). Patients were included if they had a psychiatric diagnosis and at least 5 recorded CGI-S scores within a 2-month period, defined as the ‘index’ period. The relationship between early CGI-S trajectories and risk of hospitalisation was investigated using Cox regression. The analysis was adjusted for age, gender, race, number of years in education, and psychiatric diagnosis. Early CGI-S trajectories were estimated as clinical severity (defined as the mean CGI-S score during the index period) and clinical instability (defined as a generalised Root Mean Squared Subsequent Differences of all CGI-S scores recorded during the index period). The primary outcome was time to psychiatric hospitalisation up to 6 months following the index period. Patients who had been hospitalised before or within the index period were excluded.
Results
A total of 36,914 patients were included (mean [SD] age: 29.7 [17.5] years; 57.3% female). Clinical instability (hazard ratio: 1.09, 95% CI 1.07-1.10, p<0.001) and severity (hazard ratio: 1.11, 95% CI 1.09-1.12, p<0.001) independently predicted risk of hospitalisation. These associations were consistent across all psychiatric diagnoses. Patients in the top 50% of severity and/or instability were at a 45% increased risk of hospitalisation compared to those in the bottom 50% (Figure 1).
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Conclusions
Early CGI-S trajectories reflecting clinical severity and instability independently predict risk of hospitalisation across diagnoses. This risk was compounded when instability and severity were present together. These results have translation potential in predicting individuals who are at high risk of hospitalisation and could benefit from preventative strategies to mitigate this risk.
Disclosure of Interest
E. Palmer Employee of: Holmusk, M. Taquet Consultant of: Holmusk, K. Griffiths Employee of: Holmusk, S. Ker Employee of: Holmusk, C. Liman Employee of: Holmusk, S. N. Wee Employee of: Holmusk, S. Kollins Employee of: Holmusk, R. Patel Grant / Research support from: National Institute of Health Research (NIHR301690); Medical Research Council (MR/S003118/1); Academy of Medical Sciences (SGL015/1020); Janssen, Employee of: Holmusk
Prior research has identified altered brain structure and function in individuals at risk for self-directed violence thoughts and behaviors. However, these studies have largely utilized healthy controls and findings have been inconsistent. Thus, this study examined differences in resting-state functional network connectivity among individuals with lifetime suicide attempt(s) v. lifetime self-directed violence thoughts alone.
Methods
Using data from the UK Biobank, this study utilized a series of linear regressions to compare individuals with lifetime suicide attempt(s) (n = 566) v. lifetime self-directed violence thoughts alone (n = 3447) on within- and between- network resting-state functional connectivity subnetworks.
Results
There were no significant between-group differences for between-network, within-network, or whole-brain functional connectivity after adjusting for age, sex, ethnicity, and body mass index and performing statistical corrections for multiple comparisons. Resting-state network measures may not differentiate between individuals with lifetime suicide attempt(s) and lifetime self-directed violence thoughts alone.
Conclusions
Null findings diverge from results reported in smaller neuroimaging studies of suicide risk, but are consistent with null findings in other large-scale studies and meta-analyses. Strengths of the study include its large sample size and stringent control group. Future research on a wider array of imaging, genetic, and psychosocial risk factors can clarify relative contributions of individual and combined variables to suicide risk and inform scientific understanding of ideation-to-action framework.
The mesh is vast yet intimate: there is no here or there, so everything is brought within our awareness. The more we analyze, the more ambiguous things become. We can't really know who is at the junctions of the mesh before we meet them. Even when we meet them, they are liable to change before our eyes, and our view of them is also labile. These beings are the strange stranger.
Dame Ragnelle in The Wedding of Sir Gawain and Dame Ragnelle is difficult to define. She is human, in that she rides a horse, wears a dress, and is to marry Gawain, but she has distinctly animal-like features, boar-like tusks and bristles, which sit alongside grotesque but human characteristics. She is not a hybrid, comprised of two separate parts like a faun, nor does she metamorphosize between wholly animal and wholly human like a werewolf. Instead, before her final transformation into a beautiful maiden, she is a mixture of both. Her presence is frightening and alarming for the Arthurian court, but attempts to isolate her only expose the strangeness already within the court. Despite this frightening revelation, Ragnelle's marriage to Gawain and her presence in the court prove necessary to strengthen the court's sovereign power.
Feasts like Ragnelle's wedding banquet have long been interpreted as a battleground between the wild and courtly. Aisling Byrne argues that the intruder at the feast motif, found in Sir Gawain and the Green Knight, Malory's Gareth narrative, the German Daniel von dem blühenden Tal, and the Occitan Jaufré, provides an opportunity for the court to defeat the outside, proving its context in Sir Gawain and the Green Knight epitomizes this viewpoint: ‘For host and guest it was an act of triumph by culture over nature, an establishment of power, control, civilisation, hierarchy, social bonds’. In this framework, the feast establishes courtly identity by distinguishing the courtly from the wild.
The interaction of relativistically intense lasers with opaque targets represents a highly non-linear, multi-dimensional parameter space. This limits the utility of sequential 1D scanning of experimental parameters for the optimization of secondary radiation, although to-date this has been the accepted methodology due to low data acquisition rates. High repetition-rate (HRR) lasers augmented by machine learning present a valuable opportunity for efficient source optimization. Here, an automated, HRR-compatible system produced high-fidelity parameter scans, revealing the influence of laser intensity on target pre-heating and proton generation. A closed-loop Bayesian optimization of maximum proton energy, through control of the laser wavefront and target position, produced proton beams with equivalent maximum energy to manually optimized laser pulses but using only 60% of the laser energy. This demonstration of automated optimization of laser-driven proton beams is a crucial step towards deeper physical insight and the construction of future radiation sources.
We present the development and characterization of a high-stability, multi-material, multi-thickness tape-drive target for laser-driven acceleration at repetition rates of up to 100 Hz. The tape surface position was measured to be stable on the sub-micrometre scale, compatible with the high-numerical aperture focusing geometries required to achieve relativistic intensity interactions with the pulse energy available in current multi-Hz and near-future higher repetition-rate lasers ($>$kHz). Long-term drift was characterized at 100 Hz demonstrating suitability for operation over extended periods. The target was continuously operated at up to 5 Hz in a recent experiment for 70,000 shots without intervention by the experimental team, with the exception of tape replacement, producing the largest data-set of relativistically intense laser–solid foil measurements to date. This tape drive provides robust targetry for the generation and study of high-repetition-rate ion beams using next-generation high-power laser systems, also enabling wider applications of laser-driven proton sources.
It is frequently claimed that breeding animals that we know will have unavoidable health problems is at least prima facie wrong, because it harms the animals concerned. However, if we take ‘harm’ to mean ‘makes worse off’, this claim appears false. Breeding an animal that will have unavoidable health problems does not make any particular individual animal worse off, since an animal bred without such problems would be a different individual animal. Yet, the intuition that there is something ethically wrong about breeding animals — such as purebred pedigree dogs — in ways that seem negatively to affect welfare remains powerful. In this paper, an animal version of what is sometimes called the non-identity problem is explored, along with a number of possible ways of understanding what might be wrong with such breeding practices, if it is not that they harm the animal itself. These possibilities include harms to others, placeholder arguments, non-comparative ideas of harm, an ‘impersonal’ approach, and concerns about human attitudes and dispositions.
This research examines maternal smoking during pregnancy and risk for poorer executive function in siblings discordant for exposure. Data (N = 173 families) were drawn from the Missouri Mothers and Their Children study, a sample, identified using birth records (years 1998–2005), in which mothers changed smoking behavior between two pregnancies (Child 1 [older sibling]: Mage = 12.99; Child 2 [younger sibling]: Mage = 10.19). A sibling comparison approach was used, providing a robust test for the association between maternal smoking during pregnancy and different aspects of executive function in early-mid adolescence. Results suggested within-family (i.e., potentially causal) associations between maternal smoking during pregnancy and one working memory task (visual working memory) and one response inhibition task (color-word interference), with increased exposure associated with decreased performance. Maternal smoking during pregnancy was not associated with stop-signal reaction time, cognitive flexibility/set-shifting, or auditory working memory. Initial within-family associations between maternal smoking during pregnancy and visual working memory as well as color-word interference were fully attenuated in a model including child and familial covariates. These findings indicate that exposure to maternal smoking during pregnancy may be associated with poorer performance on some, but not all skills assessed; however, familial transmission of risk for low executive function appears more important.