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There are ethnic differences, including differences related to indigeneity, in the incidence of first episode psychosis (FEP) and pathways into care, but research on ethnic disparities in outcomes following FEP is limited.
Aims
In this study we examined social and health outcomes following FEP diagnosis for a cohort of Māori (Indigenous people of New Zealand) and non-Māori (non-Indigenous) young people. We have focused on understanding the opportunities for better outcomes for Māori by examining the relative advantage of non-Māori with FEP.
Method
Statistics New Zealand's Integrated Data Infrastructure was accessed to describe mental health and social service interactions and outcomes for a retrospective FEP cohort comprising 918 young Māori and 1275 non-Māori aged 13 to 25 at diagnosis. Logistic regression models were used to examine whether social outcomes including employment, benefit receipt, education and justice involvement in year 5 differed by indigeneity.
Results
Non-Māori young people were more likely than Māori to have positive outcomes in the fifth year after FEP diagnosis, including higher levels of employment and income, and lower rates of benefit receipt and criminal justice system involvement. These patterns were seen across diagnostic groups, and for both those receiving ongoing mental healthcare and those who were not.
Conclusions
Non-Māori experience relative advantage in outcomes 5 years after FEP diagnosis. Indigenous-based social disparities following FEP urgently require a response from the health, education, employment, justice and political systems to avoid perpetuating these inequities, alongside efforts to address the disadvantages faced by all young people with FEP.
Examine the relationship between patients’ race and prescriber antibiotic choice while accounting for differences in underlying illness and infection severity.
Design:
Retrospective cohort analysis.
Setting:
Acute care facilities within an academic healthcare system.
Patients:
Adult inpatients from January 2019 through June 2022 discharged from the Hospital Medicine Service with an ICD-10 Code for Pneumonia.
Methods:
We describe variability in days of therapy of antimicrobials with activity against Pseudomonas aeruginosa (anti-Pseudomonas agents) or against MRSA (anti-MRSA agents), by patient’s race and ethnicity. We estimated the likelihood of receipt of any anti-Pseudomonas agents by race and modeled the effect of race on rate of use, adjusting for age, severity, and indication.
Results:
5,820 patients with 6,700 encounters were included. After adjusting for broad indication, severity, underlying illness, and age, use of anti-Pseudomonas agents were less likely among non-Hispanic Black patients than other race groups, although this effect was limited to younger patients (adjusted odds ratio [aOR] 0.45, 95% confidence interval [CI] 0.29, 0.70), and not older ones (aOR 0.98; 95% CI 0.85, 1.13); use of anti-MRSA agents were similar between groups. Among patients receiving any anti-Pseudomonas agents, Black patients received them for relatively lower proportion of their inpatient stay (incidence rate ratio 0.91; 95% CI 0.87, 0.96).
Conclusions:
We found difference in use of anti-Pseudomonas agents between non-Hispanic Black patients and other patients that could not be easily explained by indications or underlying illness, suggesting unmeasured factors may be playing a role in treatment decisions.
The popularity of green, social and sustainability-linked bonds (GSS bonds) continues to rise, with circa US$939 billion of such bonds issued globally in 2023. Given the rising popularity of ESG-related investment solutions, their relatively recent emergence, and limited research in this field, continued investigation is essential. Extending non-traditional techniques such as neural networks to these fields creates a good blend of innovation and potential. This paper follows on from our initial publication, where we aim to replicate the S&P Green Bond Index (i.e. this is a time series problem) over a period using non-traditional techniques (neural networks) predicting 1 day ahead. We take a novel approach of applying an N-BEATS model architecture. N-BEATS is a complex feedforward neural network architecture, consisting of basic building blocks and stacks, introducing the novel doubly residual stacking of backcasts and forecasts. In this paper, we also revisit the neural network architectures from our initial publication, which include DNNs, CNNs, GRUs and LSTMs. We continue the univariate time series problem, increasing the data input window from 1 day to 2 and 5 days respectively, whilst still aiming to predict 1 day ahead.
Optimising stellarators for quasisymmetry leads to strongly reduced collisional transport and energetic particle losses compared with unoptimised configurations. Although stellarators with precise quasisymmetry have been obtained in the past, it remains unclear how broad the parameter space is where good quasisymmetry may be achieved. We study the range of aspect ratios and rotational transform values for which stellarators with excellent quasisymmetry on the boundary can be obtained. A large number of Fourier harmonics is included in the boundary representation, which is made computationally tractable by the use of adjoint methods to enable fast gradient-based optimisation and by the direct optimisation of vacuum magnetic fields, which converge more robustly compared with solutions from magnetohydrostatics. Several novel configurations are presented, including stellarators with record levels of quasisymmetry on a surface, three field period quasiaxisymmetric stellarators with substantial magnetic shear, and compact quasisymmetric stellarators at low aspect ratios similar to tokamaks.
We present a framework for analysing plasma flow in a rotating mirror. By making a series of physical assumptions, we reduce the magnetohydrodynamic (MHD) equations in a three-dimensional cylindrical system to a one-dimensional system in a shallow, cuboidal channel within a transverse magnetic field, similar to the Hartmann flow in ducts. We then solve the system both numerically and analytically for a range of values of the Hartmann number and calculate the dependence of the plasma flow speed on the thickness of the insulating end cap. We observe that the mean flow overshoots and decelerates before achieving a steady-state value, a phenomenon that the analytical model cannot capture. This overshoot is directly proportional to the thickness of the insulating end cap and the external electric field, with a weak dependence on the external magnetic field. Our simplified model can act as a benchmark for future simulations of the supersonic mirror device CMFX (centrifugal magnetic fusion experiment), which will employ more sophisticated physics and realistic magnetic field geometries.
The present paper explores a connection between two concepts arising from different fields of mathematics. The first concept, called vine, is a graphical model for dependent random variables. This concept first appeared in a work of Joe (1994), and the formal definition was given later by Cooke (1997). Vines have nowadays become an active research area whose applications can be found in probability theory and uncertainty analysis. The second concept, called MAT-freeness, is a combinatorial property in the theory of freeness of logarithmic derivation modules of hyperplane arrangements. This concept was first studied by Abe-Barakat-Cuntz-Hoge-Terao (2016), and soon afterwards investigated further by Cuntz-Mücksch (2020).
In the particular case of graphic arrangements, the last two authors (2023) recently proved that the MAT-freeness is completely characterized by the existence of certain edge-labeled graphs, called MAT-labeled graphs. In this paper, we first introduce a poset characterization of a vine. Then we show that, interestingly, there exists an explicit equivalence between the categories of locally regular vines and MAT-labeled graphs. In particular, we obtain an equivalence between the categories of regular vines and MAT-labeled complete graphs.
Several applications will be mentioned to illustrate the interaction between the two concepts. Notably, we give an affirmative answer to a question of Cuntz-Mücksch that MAT-freeness can be characterized by a generalization of the root poset in the case of graphic arrangements.
During the Late Classic (a.d. 600–900), Maya stone monuments from the Western Lowlands documented people with the sajal title. This position was associated with corporate group leaders who acted as governors of secondary sites, supervised warfare-related activities, and manufactured and distributed goods. The increase in records, along with the elaboration of monuments by sajals with differing narratives from those of the rulers, has been identified as a contributing factor to the regional political instability that led to the abandonment of Classic Maya capitals. This article aims to analyze monuments from the political spheres of Yaxchilan, Piedras Negras, and Palenque using a discourse analysis approach to identify the discursive strategies sajals used to showcase and strengthen their hierarchical positions. To accomplish this, I will analyze the discourse in relation to the intermediality of monuments to examine how sajals rivaled the rulers of these cities. Additionally, I will explore the correlation between these discourses and the sociopolitical transformations that preceded the regional collapse in the ninth century a.d.
The article was inspired by Justice Alito's selective and often misleading use of the medieval history of abortion law to justify the overturning of Roe v. Wade. Hoping to offer a corrective view of the larger conversation about abortion during the premodern era, this article hopes to drive home a number of points. First, modern authorities need to acknowledge that the word “abortion” (aborsus) meant something different then than it does now. Second, at its origins, abortion was conceived as a crime against husbands, and thus it falls into a larger body of misogynous law designed to protect men and their heirs from women who exploited their reproductive potential to trick men out of their rightful inheritance. And third, medieval laws against those who provided abortions labeled them as witches or poisoners. Medieval laws about abortion are thus intertwined with fears of the devil and of the woman's body as poison.
We prove discrete-to-continuum convergence for dynamical optimal transport on $\mathbb{Z}^d$-periodic graphs with cost functional having linear growth at infinity. This result provides an answer to a problem left open by Gladbach, Kopfer, Maas, and Portinale (Calc Var Partial Differential Equations 62(5), 2023), where the convergence behaviour of discrete boundary-value dynamical transport problems is proved under the stronger assumption of superlinear growth. Our result extends the known literature to some important classes of examples, such as scaling limits of $1$-Wasserstein transport problems. Similarly to what happens in the quadratic case, the geometry of the graph plays a crucial role in the structure of the limit cost function, as we discuss in the final part of this work, which includes some visual representations.
In 2020, COVID-19 modeling studies predicted rapid epidemic growth and quickly overwhelmed health systems in humanitarian and fragile settings due to preexisting vulnerabilities and limited resources. Despite the growing evidence from Bangladesh, no study has examined the epidemiology of COVID-19 in out-of-camp settings in Cox’s Bazar during the first year of the pandemic (March 2020-March 2021). This paper aims to fill this gap.
Methods
Secondary data analyses were conducted on case and testing data from the World Health Organization and the national health information system via the District Health Information Software 2.
Results
COVID-19 in Cox’s Bazar was characterized by a large peak in June 2020, followed by a smaller wave in August/September and a new wave from March 2021. Males were more likely to be tested than females (68% vs. 32%, P < 0.001) and had higher incidence rates (305.29/100 000 males vs. 114.90/100 000 female, P < 0.001). Mortality was significantly associated with age (OR: 87.3; 95% CI: 21.03-350.16, P < 0.001) but not sex. Disparities existed in testing and incidence rates among upazilas.
Conclusions
Incidence was lower than expected, with indicators comparable to national-level data. These findings are likely influenced by the younger population age, high isolation rates, and low testing capacity. With testing extremely limited, true incidence and mortality rates are likely higher, highlighting the importance of improving disease surveillance in fragile settings. Data incompleteness and fragmentation were the main study limitations.
COVID-19 vaccine effectiveness (VE) studies are limited in low- and middle-income countries. A case-control study was conducted among COVID-19 and other pneumonia patients admitted to a hospital in the Philippines during the pre-Omicron and Omicron periods. To elucidate factors associated with in-hospital death, 1782 COVID-19 patients were assessed. To estimate absolute VE for various severe outcomes, 1059 patients were assessed (869 [82.1%] COVID-19 cases; 190 [17.9%] controls). Factors associated with in-hospital death included older age, tuberculosis (adjusted odds ratio [aOR] 2.45 [95% confidence interval {95% CI} 1.69–3.57]), HIV (aOR 3.30 [95% CI 2.03–5.37]), and current smokers (aOR 2.65 [95% CI 1.72–4.10]). Pre-Omicron, the primary series provided high protection within a median of 2 months (hospitalization: 85.4% [95% CI 35.9–96.7%]; oxygen requirement: 91.0% [95% CI 49.4–98.4%]; invasive mechanical ventilation (IMV): 97.0% [95% CI 65.7–99.7%]; death: 96.5% [95% CI 67.1–99.6%]). During Omicron, the primary series provided moderate-high protection within a median of 6–9 months (hospitalization: 70.2% [95% CI 27.0–87.8%]; oxygen requirement: 71.4% [95% CI 29.3–88.4%]; IMV: 72.7% [95% CI −11.6–93.3%]; death: 58.9% [95% CI −82.8–90.8%]). Primary series VE against severe COVID-19 outcomes was consistently high for both pre-Omicron and Omicron in a setting where approximately half of the vaccinees received inactivated vaccines.
We show that for $\mathrm {C}^*$-algebras with the global Glimm property, the rank of every operator can be realized as the rank of a soft operator, that is, an element whose hereditary sub-$\mathrm {C}^*$-algebra has no nonzero, unital quotients. This implies that the radius of comparison of such a $\mathrm {C}^*$-algebra is determined by the soft part of its Cuntz semigroup.
Under a mild additional assumption, we show that every Cuntz class dominates a (unique) largest soft Cuntz class. This defines a retract from the Cuntz semigroup onto its soft part, and it follows that the covering dimensions of these semigroups differ by at most $1$.
Weed-suppression benefits of cover crops (CCs) have long been recognized; however, the specific ability of CCs to suppress highly epidemic Amaranthus spp. (Palmer amaranth (Amaranthus palmeri S. Watson), redroot pigweed (Amaranthus retroflexus L.), smooth pigweed (Amaranthus hybridus L.), and waterhemp [Amaranthus tuberculatus (Moq.) Sauer]) has not been widely discussed. The objective of this meta-analysis was to evaluate the implications of CC management decisions (CC type, planting and termination methods, residue fate after termination, and in-season weed management plan) on Amaranthus spp. weed density (ASWD) and Amaranthus spp. weed biomass (ASWB) compared with no CC (NCC) in temperate regions, including the United States and Canada. We found 41 studies conducted across the United States and Canada and extracted 595 paired observations. The results indicate that CCs reduced the ASWD by 58% in the early season (0 to 4 wk after crop planting [WAP]), by 48% in the midseason (5 to 8 WAP), and by 44% in the late season (>8 WAP). Similarly, CCs reduced ASWB by 59%, 55%, and 37% in the early, mid-, and late season, respectively. Meta-regression analysis showed CCs terminated within 2.5 wk of crop planting reduced ASWD by ≥50%. CC biomass required to reduce ASWD and ASWB by 50% was 4,079 kg ha−1 for ASWD and 5,352 kg ha−1 for ASWB. Among CC types, grasses and mixtures reduced ASWD by 60% and 77% in early season, 53% and 59% in midseason, and 44% and 47% in late season. Legume CCs were effective only during the early season (47% ASWD reduction), while brassicas did not affect ASWD. CC residues remaining on the soil surface were more effective for reducing ASWD than incorporation. CCs did not affect ASWD or ASWB compared with NCC when herbicides were used for in-season weed management. In general, CCs were found to reduce ASWD and ASWB and therefore can be used as an effective tool for integrated management of Amaranthus spp.
Animal agriculture employs approximately one-eighth of world’s human population and results in the slaughter of over 160 billion animals annually, representing perhaps the most extensive intertwining of human and animal lives on the planet. In principle, close, intersubjective relationships (involving shared attention and mental states) between humans and the animals in agriculture are possible, though these are infrequently studied and are unlikely to be achieved in farming, given systemic constraints (e.g. housing and management). Much scientific research on human-animal relationships within agriculture has focused upon a fairly restricted range of states (e.g. reducing aversive human-animal interactions within standard systems, toward improving productivity and reducing injuries to workers). Considering human-animal relations along a continuum, we review scholarship supporting the rationale for expanding the range of relationships under consideration in animal welfare research, given the impacts these relationships can have on both animals and stockpersons, increasing consumer demand for humane food products, and the goal of providing animals under our care with good lives. Looking toward traditions that encourage taking the perspective of, and learning from non-humans, we provide entry points to approaches that can enable animal welfare research to expand to investigate a broader range of human-animal relationship states. By showing the potential for close mutually beneficial human-animal relationships, this line of research highlights pathways for understanding and improving the welfare of animals used in agriculture.
The article examines hope as employed in short political speeches given by a Palestinian resident and activist, Mr. Saleh Diab, to a small audience of Jewish-Israelis, during the weekly Sheikh Jarrah protest in East Jerusalem. Informed by linguistic anthropology and sociolinguistics, hope is viewed contextually as a resource or affordance that enables indexical connection-projection from the narrative time of the present to a future that is yet unforeseeable (yet-to-become, Derrida 1990/1992). The analysis of future-facing utterances highlights the indexical semiotics that underlie hope, connecting collaborative political action performed here-and-now in the occupied Palestinian neighborhood to its future ramifications. Examining Saleh's employment of hope points at its essential moral and affective entanglement. The article seeks to contribute to a sociolinguistic understanding of hope, as collaboratively and consistently sustained (specifically within the Israeli-Palestinian context), and more broadly to supply a clearer view of the sociolinguistics of grassroot political activism resisting oppressive regimes. (Narrative, time, indexicality, Israel-Palestine, Sheikh Jarrah, protest, demonstration, political discourse)1
The rapid and efficient removal of weeds is currently a research hotspot. With the integration of robotics and automation technology into agricultural production, intelligent field-weeding robots have emerged. An overview of the development status of weeding robots based on bibliometric and scientific mapping methods is presented. Two key technologies of weeding robots are summarized, and the research progress of precision-spraying weeding robots, mechanical weeding robots, and thermal weeding robots with laser devices, categorized by weeding method, is reviewed. Finally, a summary and an outlook on the future development trends of intelligent field-weeding robots are provided, aiming to offer a reference for further promoting the development of weeding robots.
This article presents a constructional analysis of the uses of left-peripheral so in Early New High German. This element is known as a resumptive element, which takes up an adverbial clause and integrates it into a main clause. While this seems a valid analysis for constructions with preposed adverbial clauses, it is not compatible when so is preceded by adverbs or main clauses.
First, a quantitatively informed picture is presented. A network is proposed that centers around a prototype in which so connects a protasis and apodosis when so follows verb-final and verb-initial clauses. Second, it is argued that so following verb-second clauses is loosely connected to this network. Finally, it is considered whether and to what degree the use of so following adverbs should be analyzed in the same way as so following adverbial clauses. It is argued that patterns with adverbs are not in paradigmatic relation with adverbial clauses. Moreover, their function is different, as they are backward-oriented and take up earlier constituents.
We evaluated herbicides for controlling the annual grass ventenata [Ventenata dubia (Leers) Coss.], with particular interest in indaziflam, a preemergence cellulose biosynthesis inhibitor. In 2016, indaziflam was applied postemergence alone and in mixture with glyphosate, imazapic, propoxycarbazone-sodium, or rimsulfuron to an improved pasture in southwestern Montana. A non-sprayed control was included for comparison purposes. Canopy cover of each species was assessed annually for 7 yr; cover was grouped by life-form and longevity, and species richness was calculated. Five years (2021) after treatment, the seedbank was assessed. Our results indicated that treatments including indaziflam reduced V. dubia cover 1 to 3 yr and even up to 6 yr after application, with V. dubia cover being zero or close to zero. However, at 7 yr (2023) after treatment, V. dubia was low across all treatments, including the non-sprayed control. Perennial grasses and forbs and annual forbs were generally unaffected by any treatment and did not increase in cover over the 7 yr, even though V. dubia decreased. Two years after treatment, species richness was lowest in treatments that included indaziflam, but at 7 yr, species richness was similar across all treatments. Indaziflam depleted the monocot and dicot seedbank, with fewer than 5 seedlings of any species emerging from treatments that included indaziflam, while other treatments resulted in 60 to 165 seedlings per sample (40 cm3 of soil). In summary, at our study site, a single application of indaziflam controlled V. dubia for 6 yr, appeared to deplete the seedbank at 5 yr, and cover of perennial and annual vegetation and species richness was unaffected. By the end of the study, though, V. dubia cover appeared to be influenced by factors other than herbicide treatments, possibly variable precipitation over time, an exclusion of grazing, and competitive perennial grasses dominating the site.
Clozapine is the antipsychotic medication with the greatest efficacy in treatment-resistant schizophrenia (TRS). Unfortunately, clozapine is ceased in approximately 0.2% to 8.5% of people due to concerns about clozapine-associated myocarditis (CAM). The opportunity for clozapine rechallenge is important for people with TRS and CAM, due to limited alternative treatments. However, there is a lack of consensus regarding the optimal process, monitoring, and dose titration to achieve successful clozapine rechallenge. The study aimed to review the process, monitoring, and dose titration within cases of clozapine rechallenge after CAM, to identify features associated with successful rechallenge.
Methods
A systematic review of clozapine rechallenge cases following CAM was conducted. PubMed, EMBASE, Cinahl, and PsycINFO were searched for cases. Reference lists of retrieved articles and field experts were consulted to identify additional studies.
Results
Forty-five cases were identified that described clozapine rechallenge, 31 of which were successful. Successful rechallenge cases generally used a slower dose titration regime with more frequent monitoring than standard clozapine initiation protocols; however, this data was not always completely recorded within cases. Six cases referred to published rechallenge protocols to guide their rechallenge.
Conclusions
The process, monitoring, and dose titration of clozapine rechallenge are inconsistently reported in the literature. Despite this, 69% of case reports detailed a successful rechallenge post CAM; noting limitations associated with reliance on case data. Ensuring published clozapine rechallenge cases report standardised data, including titration speed and monitoring frequencies, is required to guide the development and validation of guidelines for clozapine rechallenge.
We propose a novel and unified sampling scheme, called the accelerated group sequential sampling scheme, which incorporates four different types of sampling scheme: (i) the classic Anscombe–Chow–Robbins purely sequential sampling scheme; (ii) the accelerated sequential sampling scheme; (iii) the relatively new k-at-a-time group sequential sampling scheme; and (iv) the new k-at-a-time accelerated group sequential sampling scheme. The first-order and second-order properties of this unified sequential sampling scheme are fully investigated with two illustrations on minimum risk point estimation for the mean of a normal distribution and on bounded variance point estimation for the location parameter of a negative exponential distribution. We also provide extensive Monte Carlo simulation studies and real data analyses for each illustration.