bluuebunny/crossref_metadata_2025_split huggingface dataset:
Caregivers of Children With Disabilities in the Northern Territory, Australia: Experiences of Educational Non-Inclusion
Authors: Rheinberger Sarah , Staley Bea , Nutton Georgie 
Published: August 2023

AbstractInclusive education is enshrined in law and supported by the literature as best practice in education. Inclusive education has been shown to provide better academic, social and behavioural outcomes for children with disabilities than segregated learning environments. In the Northern Territory, Australia, however, the dual system of mainstream and special education persists and so too does segregation and exclusion. The Northern Territory education strategy commits to strengthening inclusion and empowering families in educational decision-making by listening to their voices. In this paper, we highlight some of these voices, examining the experiences and perspectives of caregivers of children with disabilities as they participate in education in the Northern Territory. Caregivers’ experiences were coded into categories of inclusion and exclusion. Those that were not clearly inclusion nor exclusion were identified and the theme of non-inclusion was created. Non-inclusion was analysed thematically and is discussed as a nebulous space that exists for caregivers, presenting significant challenges that threaten their child’s inclusion at school as they navigate this dual system. If Australian education systems are to provide genuine inclusive education, we need to understand the experiences of caregivers better so we can remediate the issues creating non-inclusion for children with disabilities and caregivers.
Adaptive Market Hypothesis and Predictability: Evidence in Latin American Stock Indices
Authors: Cruz-Hernández Andrés R. , Mora-Valencia Andrés 
Published: August 2023

AbstractThis article examines the adaptive market hypothesis in the five most important Latin American stock indices. To that end, we apply three versions of the variance ratio test, as well as the Brock-Dechert-Scheinkman test for nonlinear predictability. Additionally, we perform the Dominguez-Lobato and generalized spectral tests to evaluate the Martingale difference hypothesis. Moreover, we consider salient news related to the plausible market inefficiencies detected by these four tests. Finally, we apply a GARCH-M model to assess the risk-return relationship through time. Our results suggest that the predictability of stock returns varies over time. Furthermore, the efficiency in each market behaves differently over time. All in all, the analyzed emerging market indices satisfy the adaptive market hypothesis, given the switching behavior between periods of efficiencies and inefficiencies, since the adaptive market hypothesis suggests that market efficiency and market anomalies might coexist in capital markets.
Serum levels of folate, vitamin B6, and vitamin B12 are associated with cognitive impairments in depression patients
Authors: Zhao Lei , Guan Lili , Sun Jinyan , Li Xiaoming 
Published: August 2023

AbstractIntroduction:Depression is a common mental disorder that endangers physical and mental health. In our study, we aimed to explore whether B vitamins are associated with depression and cognitive dysfunction.Methods:We enrolled a total of 220 patients with depression and selected 100 controls at the same time. We determined depression and cognitive impairment by assessments. We recorded the basic parameters of the participants and collected blood samples. In addition, we measured serum levels of B vitamins and brain-derived neurotrophic factor (BDNF).Results:We found significant differences in the duration of depression, education, and Hamilton Depression Rating Scale scores between the D-NCI and D-CI groups. We also identified the independent risk factors for patients with depression and cognitive dysfunction. Compared with the healthy controls, serum folate, vitamin B6, and vitamin B12 positively correlated with cognitive dysfunction. The patients with depression and cognitive dysfunction had the lowest levels of B vitamins compared with the other two groups. Our results also showed that the levels of serum folate, vitamin B6, and vitamin B12 in the patients with depression had a positive correlation with each other.Conclusion:Our results indicate that vitamin B is associated with depression and cognitive dysfunction and is positively associated with cognitive dysfunction.
The use of breast milk iodine concentration in the first week of lactation as a biomarker of iodine status in breast-feeding women
Authors: Liu Shuchang , Sharp Andrew , Luo Xiaoqin , Lane Steven , Villanueva Elmer V , Lu Zhiliang , Ma Zheng Feei 
Published: August 2023

AbstractBreast milk iodine concentration (BMIC) is a promising indicator of iodine status in lactating women. However, there are limited data on its usefulness to reflect maternal iodine deficiency. Therefore, the aim of our study was to assess iodine concentration in breast milk and urine samples in exclusively breast-feeding women. Eligible pregnant women undergoing routine antenatal care in a large hospital in Shaanxi Province, China, were followed up from the third trimester of pregnancy until the first week of lactation. Urine samples (20 ml) were collected during pregnancy and lactation. Iodine concentration in samples was measured based on Sandell–Kolthoff reaction. Breast milk samples (5 ml) were provided during lactation. A receiver operating curve (ROC) was constructed to determine the diagnostic performance of BMIC. An iodine-specific FFQ was completed twice during pregnancy and lactation. A total of 200 women completed the study. The overall median BMIC was 89 μg/l, indicating iodine sufficiency (i.e. BMIC reference range between 60 and 465 μg/l). Women reported similar median urinary iodine concentration (UIC) during pregnancy and lactation (112 and 113 μg/l, respectively), but their iodine status differed – mild-to-moderate iodine deficiency during pregnancy and iodine sufficiency during lactation. The ROC for BMIC using UIC as a reference standard was 0·755 (95 % CI: 0·644, 0·866). In conclusion, this study demonstrated that women were iodine sufficient in the first week of lactation as assessed by UIC, which was consistent with BMIC. These findings suggested that BMIC is a useful biomarker to assess iodine status in lactating women.
The impact of fish oil and/or probiotics on serum fatty acids and the interaction with low-grade inflammation in pregnant women with overweight and obesity: secondary analysis of a randomised controlled trial
Authors: Houttu Noora , Vahlberg Tero , Miles Elizabeth A. , Calder Philip C. , Laitinen Kirsi 
Published: August 2023

AbstractN-3 long-chain PUFA (LC-PUFA) and probiotics are generally considered to induce health benefits. The objective was to investigate (1) the impact of fish oil and/or probiotics on serum fatty acids (sFA), (2) the interaction of sFA with low-grade inflammation and (3) the relation of sFA to the onset of gestational diabetes mellitus (GDM). Pregnant women with overweight/obesity were allocated into intervention groups with fish oil + placebo, probiotics + placebo, fish oil + probiotics or placebo + placebo in early pregnancy (fish oil: 1·9 g DHA and 0·22 g EPA, probiotics: Lacticaseibacillus rhamnosus HN001 and Bifidobacterium animalis ssp. lactis 420, 1010 CFU, each daily). Blood samples were collected in early (n 431) and late pregnancy (n 361) for analysis of fatty acids in serum phosphatidylcholine (PC), cholesteryl esters (CE), TAG and NEFA with GC and high-sensitivity C-reactive protein and GlycA by immunoassay and NMR spectroscopy, respectively. GDM was diagnosed according to 2 h 75 g oral glucose tolerance test. EPA in PC, CE and TAG and DHA in PC, CE, TAG and NEFA were higher in fish oil and fish oil + probiotics groups compared with placebo. EPA in serum NEFA was lower in women receiving probiotics compared with women not receiving. Low-grade inflammation was inversely associated with n-3 LC-PUFA, which were related to an increased risk of GDM. Fish oil and fish oil + probiotics consumption increase serum n-3 LC-PUFA in pregnant women with overweight/obesity. Although these fatty acids were inversely related to inflammatory markers, n-3 LC-PUFA were linked with an increased risk for GDM.
Aberrant reward learning, but not negative reinforcement learning, is related to depressive symptoms: an attentional perspective
Authors: Hertz-Palmor Nimrod , Rozenblit Danielle , Lavi Shani , Zeltser Jonathan , Kviatek Yonatan , Lazarov Amit 
Published: August 2023

AbstractBackgroundAberrant reward functioning is implicated in depression. While attention precedes behavior and guides higher-order cognitive processes, reward learning from an attentional perspective – the effects of prior reward-learning on subsequent attention allocation – has been mainly overlooked.MethodsThe present study explored the effects of reward-based attentional learning in depression using two separate, yet complimentary, studies. In study 1, participants with high (HD) and low (LD) levels of depression symptoms were trained to divert their gaze toward one type of stimuli over another using a novel gaze-contingent music reward paradigm – music played when fixating the desired stimulus type and stopped when gazing the alternate one. Attention allocation was assessed before, during, and following training. In study 2, using negative reinforcement, the same attention allocation pattern was trained while substituting the appetitive music reward for gazing the desired stimulus type with the removal of an aversive sound (i.e. white noise).ResultsIn study 1 both groups showed the intended shift in attention allocation during training (online reward learning), while generalization of learning at post-training was only evident among LD participants. Conversely, in study 2 both groups showed post-training generalization. Results were maintained when introducing anxiety as a covariate, and when using a more powerful sensitivity analysis. Finally, HD participants showed higher learning speed than LD participants during initial online learning, but only when using negative, not positive, reinforcement.ConclusionsDeficient generalization of learning characterizes the attentional system of HD individuals, but only when using reward-based positive reinforcement, not negative reinforcement.
Sisyphus in robes: International law, legal interpretation and the absurd
Authors: Werner Wouter G. 
Published: August 2023

AbstractLegal systems across the world contain the obligation to prevent ‘absurd interpretations’ of law. In international law, an instruction to avoid ‘manifestly absurd’ interpretations can be found in Article 32 of the Vienna Convention on the Law of Treaties. This gives rise to at least two questions that I will take up in this article. First, what is meant by the ‘absurd’ that is to be avoided in legal interpretation. The short answer to this question is: no one knows exactly. The absurd, by its very nature, resists definition in pre-given categories, as I will argue on the basis of four core thinkers on the absurd: Søren Kierkegaard, Jean-Paul Sartre, Albert Camus, and Thomas Nagel. The second question is more technical and easier to answer: how should lawyers try to avoid absurd interpretations? Here, I turn to absurdist writing and the theatre of the absurd for assistance. Absurdist writing and theatre have developed a number of techniques to make the absurd appear, to let the audience experience that something is fundamentally out of tune. Lawyers use similar techniques, but in reverse and with an opposite purpose: they add exposition, narrative, reasonable language, and stable, rational legal personae. In this way, they boost the rationality and reasonableness of the legal order. However, to come full circle, it is exactly the pretension of rationality and reasonableness that makes the law vulnerable to manifestations of the absurd. The rationality of law is the springboard for the very same absurdity it tries to suppress.
Recalibration of the stress response system over adult development: Is there a perinatal recalibration period?
Authors: Howland Mariann A. 
Published: August 2023

AbstractDuring early life-sensitive periods (i.e., fetal, infancy), the developing stress response system adaptively calibrates to match environmental conditions, whether harsh or supportive. Recent evidence suggests that puberty is another window when the stress system is open to recalibration if environmental conditions have shifted significantly. Whether additional periods of recalibration exist in adulthood remains to be established. The present paper draws parallels between childhood (re)calibration periods and the perinatal period to hypothesize that this phase may be an additional window of stress recalibration in adult life. Specifically, the perinatal period (defined here to include pregnancy, lactation, and early parenthood) is also a developmental switch point characterized by heightened neural plasticity and marked changes in stress system function. After discussing these similarities, lines of empirical evidence needed to substantiate the perinatal stress recalibration hypothesis are proposed, and existing research support is reviewed. Complexities and challenges related to delineating the boundaries of perinatal stress recalibration and empirically testing this hypothesis are discussed, as well as possibilities for future multidisciplinary research. In the theme of this special issue, perinatal stress recalibration may be a mechanism of multilevel, multisystem risk, and resilience, both intra-individually and intergenerationally, with implications for optimizing interventions.
Étude exploratoire du déficit phonologique dans l’aphasie vasculaire : Complexité des structures syllabiques
Authors: Prince Typhanie , Abuoudeh Mohammad 
Published: August 2023

RésuméCet article questionne la nature des troubles phonologiques à travers le prisme de la notion de complexité phonologique chez des locuteurs francophones atteints d’aphasie. Si de nombreux travaux ont été consacrés aux erreurs phonétiques portant sur la réalisation des phonèmes, plus rares sont les études qui prennent en compte la dimension phonologique, i.e. l’environnement contextuel. Toutefois certains auteurs montrent que la structure syllabique du mot, ou encore la position des segments au sein des syllabes influencent les réalisations des locuteurs atteints d’une aphasie (Wilshire & Nespoulous, 2003; Buchwald et Miozzo, 2012; Buchwald, 2017). Ces facteurs renvoient à la notion de complexité phonologique.Cette étude présente une analyse des erreurs phonologiques dans l’aphasie à partir d’un corpus de données empiriques récoltées auprès de huit locuteurs. Plusieurs facteurs de la complexité phonologique sont ici analysés afin de comprendre s’ils jouent un rôle dans la réalisation des erreurs. L’hypothèse est que la présence de séquences consonantiques, la position de ces séquences dans les items (initiale vs médiane), la nature de ces séquences (hétérosyllabique, tautosyllabique) ainsi que la longueur des items (bi vs trisyllabique) influencent la production des erreurs. À travers cette recherche, nous espérons accroître les connaissances sur la nature des déficits phonologiques.
Clinical utility of self- and informant-reported memory, attention, and spatial navigation in detecting biomarkers associated with Alzheimer disease in clinically normal adults
Authors: Levine Taylor F. , Allison Samantha L. , Dessenberger Steven J. , Head Denise ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: August 2023

AbstractObjective:Preclinical Alzheimer disease (AD) has been associated with subtle changes in memory, attention, and spatial navigation abilities. The current study examined whether self- and informant-reported domain-specific cognitive changes are sensitive to AD-associated biomarkers.Method:Clinically normal adults aged 56–93 and their informants completed the memory, divided attention, and visuospatial abilities (which assesses spatial navigation) subsections of the Everyday Cognition Scale (ECog). Reliability and validity of these subsections were examined using Cronbach’s alpha and confirmatory factor analysis. Logistic regression was used to examine the ability of ECog subsections to predict AD-related biomarkers (cerebrospinal fluid (CSF) ptau181/Aβ42 ratio (N = 371) or hippocampal volume (N = 313)). Hierarchical logistic regression was used to examine whether the self-reported subsections continued to predict biomarkers when controlling for depressive symptomatology if available (N = 197). Additionally, logistic regression was used to examine the ability of neuropsychological composites assessing the same or similar cognitive domains as the subsections (memory, executive function, and visuospatial abilities) to predict biomarkers to allow for comparison of the predictive ability of subjective and objective measures.Results:All subsections demonstrated appropriate reliability and validity. Self-reported memory (with outliers removed) was the only significant predictor of AD biomarker positivity (i.e., CSF ptau181/Aβ42 ratio; p = .018) but was not significant when examined in the subsample with depressive symptomatology available (p = .517). Self-reported memory (with outliers removed) was a significant predictor of CSF ptau181/Aβ42 ratio biomarker positivity when the objective memory composite was included in the model.Conclusions:ECog subsections were not robust predictors of AD biomarker positivity.
Latin and Greek in English Primary Schools – seedlings of a classical education
Authors: Hunt Steven 
Published: August 2023

AbstractThis article describes some of the main features of classical languages and history learning at the primary school level in England at the current time. It briefly examines the context and education policy background and government and teachers' beliefs in the value and status of classical subjects, especially the Latin language as an aid to learning other languages and as a support for developing and improving students' English literacy. There is some overlap with the literature review co-authored by Holmes-Henderson and Kelly for the British government (Holmes-Henderson and Kelly, 2022) and a recent piece by myself about provision of teaching and resources in the Bulletin of the Council of University Classics Departments (Hunt, 2022a). I hope to develop further some of these ideas and draw out some discussions about resources, pedagogy and learning aims for possible future directions of classical languages learning at the primary level.
Should we turn sewerage modelling on its head?
Authors: Osborne Martin 
Published: August 2023

Abstract
The move towards unlimited financial penalties in the UK for sewerage systems that do not operate in line with their discharge permits (and the even more extreme suggestion that there should be a financial penalty every time an overflow spills) sets a challenge to whether our existing sewerage models are accurate enough to provide certainty of avoiding those penalties. This article sets out proposed improved practice in the preparation of urban drainage models to improve their accuracy and usefulness and identifies areas where research, particularly into machine learning techniques, could deliver further improvements.
Online Model Error Correction With Neural Networks in the Incremental 4D‐Var Framework
Authors: Farchi Alban , Chrust Marcin , Bocquet Marc , Laloyaux Patrick , Bonavita Massimo 
Published: August 2023

AbstractRecent studies have demonstrated that it is possible to combine machine learning with data assimilation to reconstruct the dynamics of a physical model partially and imperfectly observed. The surrogate model can be defined as an hybrid combination where a physical model based on prior knowledge is enhanced with a statistical model estimated by a neural network (NN). The training of the NN is typically done offline, once a large enough data set of model state estimates is available. By contrast, with online approaches the surrogate model is improved each time a new system state estimate is computed. Online approaches naturally fit the sequential framework encountered in geosciences where new observations become available with time. In a recent methodology paper, we have developed a new weak‐constraint 4D‐Var formulation which can be used to train a NN for online model error correction. In the present article, we develop a simplified version of that method, in the incremental 4D‐Var framework adopted by most operational weather centers. The simplified method is implemented in the European Center for Medium‐Range Weather Forecasts (ECMWF) Object‐Oriented Prediction System, with the help of a newly developed Fortran NN library, and tested with a two‐layer two‐dimensional quasi geostrophic model. The results confirm that online learning is effective and yields a more accurate model error correction than offline learning. Finally, the simplified method is compatible with future applications to state‐of‐the‐art models such as the ECMWF Integrated Forecasting System.
Geohealth Policy Benefits Are Mediated by Interacting Natural, Engineered, and Social Processes
Authors: Calder Ryan S. D. , Schartup Amina T. 
Published: August 2023

AbstractInterest in health implications of Earth science research has significantly increased. Articles frequently dispense policy advice, for example, to reduce human contaminant exposures. Recommendations such as fish consumption advisories rarely reflect causal reasoning around tradeoffs or anticipate how scientific information will be received and processed by the media or vulnerable communities. Health is the product of interacting social and physical processes, yet predictable responses are often overlooked. Analysis of physical and social mechanisms, and health and non‐health tradeoffs, is needed to achieve policy benefits rather than “policy impact.” Dedicated funding mechanisms would improve the quality and availability of these analyses.
Modeling and Prediction of Large‐Scale Climate Variability by Inferring Causal Structure
Authors: He Shan , Yang Song , Chen Dake 
Published: August 2023

AbstractThis study addresses how to model and predict large‐scale climate variability, such as the El Niño–Southern Oscillation (ENSO). We introduce a framework for inferring the macroscale causal structure of the climate system using a spatial‐dimension reduction and high‐dimensional variable selection. The framework encodes the causal structure into a structural causal model, which captures the mechanisms and diversity of ENSO. It thus has a potential to reveal other physical processes within the climate system. The model predicts ENSO at a 1‐month lead time with high accuracy, and the recursive predictions at multi‐month leads are still reliable, even in a different climate state. The stand‐alone oceanic experiments capture the observed oceanic response, proving the model's capability to predict large‐scale climate variability using fragmentary information. This study demonstrates the potential for inferring causal structures to explain, model, and predict large‐scale climate variability such as ENSO.