bluuebunny/crossref_metadata_2025_split huggingface dataset:
Processing of noun plural marking in German-speaking children: an eye-tracking study
Authors: GRANDON Bénédicte , SCHLECHTWEG Marcel , RUIGENDIJK Esther 
Published: September 2023

AbstractThe ability to process plural marking of nouns is acquired early: at a very young age, children are able to understand if a noun represents one item or more than one. However, little is known about how the segmental characteristics of plural marking are used in this process. Using eye-tracking, we aim at understanding how five to twelve-year old children use the phonetic, phonological, and morphological information available to process noun plural marking in German (i.e., a very complex system) compared to adults. We expected differences with stem vowels, stem-final consonants or different suffixes, alone or in combination, reflecting different processing of their segmental information. Our results show that for plural processing: 1) a suffix is the most helpful cue, an umlaut the least helpful, and voicing does not play a role; 2) one cue can be sufficient and 3) school-age children have not reached adult-like processing of plural marking.
A Good Investment: Expanding Capacity to Care for Older Adults in the Home and Community Care Sector Through Increased Personal Support Worker Wages
Authors: Zagrodney Katherine A. P. , King Emily C. , Simon Deborah , Nichol Kathryn A. , McKay Sandra M. 
Published: September 2023

AbstractMost older adults prefer to age in place, which for many will require home and community care (HCC) support. Unfortunately, HCC capacity is insufficient to meet demand due in part to low wages, particularly for personal support workers (PSWs) who provide the majority of paid care. Using Ontario as a case study, this paper estimates the cost and capacity impacts of implementing wage parity between PSWs employed in HCC and institutional long-term care (ILTC). Specifically, we consider the cost of increased HCC PSW wages versus expected savings from avoiding unnecessary ILTC placement for those accommodated by HCC capacity growth. The expected increase in HCC PSW retention would create HCC capacity for approximately 160,000 people, reduce annual health system costs by approximately $7 billion, and provide an 88 per cent return on investment. Updating wage structures to reduce turnover and enable HCC capacity growth is a cost-efficient option for expanding health system capacity.
Explaining the “parenting – callous-unemotional traits – antisocial behavior” axis in early adolescence: The role of affiliative reward
Authors: Roman Gabriela D. , Dobrean Anca , Florean Ionuţ Stelian 
Published: September 2023

AbstractIn explaining the “parenting – callous-unemotional traits – antisocial behavior” axis, recent theoretical advances postulate a critical role for affiliative reward. Existing empirical studies focus on early childhood and the appetitive phase of the reward process (i.e. affiliation-seeking behavior) rather than the consummatory phase (i.e. affective rewards). This study focuses on experienced affiliative reward (i.e. companionship, intimacy, affection, and worth) in relation to parents and best friends in early adolescence. The Alabama Parenting Questionnaire, Network of Relationships Inventory, Inventory of Callous and Unemotional Traits, and Youth Self Report were completed by 1132 12-year-olds and analyzed via structural equation models. In this cross-sectional sample, parent-related affiliative reward mediated the path from perceived parenting practices to callousness and further to aggression and rule-breaking. Parent-related affiliative reward was also related to uncaring traits and further to aggression and rule-breaking. In contrast, friend-related affiliative reward was not a mediator in this theoretical causal chain and largely not related to perceived parenting practices or CU traits. Low parent-related experienced affiliative reward is a mechanism through which corporal punishment, poor monitoring, and low involvement translate into callousness, and therefore to aggression and rule-breaking. Friend-related affiliative reward does not yet play a role in early adolescence.
The mirrors from Chiapa de Corzo: an early example for the Classic pyrite mirrors?
Authors: Gallaga Emiliano , Melgar Emiliano , Lowe Lynneth 
Published: September 2023

AbstractSmith and Kidder (1951:44) were among the first to highlight pyrite pre-Hispanic mirrors as “marvels of painstaking craftsmanship.” These mirrors present reflective surfaces consisting of 20–50 pyrite tesserae with beveled edges, perfectly cut, and average 2 mm in thickness. The first known examples of mirrors in Mesoamerica were the “Olmec” type—a concave mirror created from a single hematite piece developed during the Middle Preclassic period. Later, in the Classic period, pyrite mosaic mirrors replaced them. Unfortunately, we do not understand the changes from one type to the other. In this work, we present two pyrite mirrors found at the site of Chiapa de Corzo, Chiapas, Mexico, dating around 700–500b.c., as possible forerunners of Classic pyrite mirrors. Also, we present traceological analysis of their manufacturing process using experimental archaeology and scanning electron microscopy. Based on these examinations, we identify likely materials and techniques employed in crafting them. We posit that production of these mirrors could have been the result of the development of specialized artisans at distinct workshops, increasing the complexity and labor investment in the lapidary objects as prestige goods.
Self-reported mid- to late-life physical and recreational activities: Associations with late-life cognition
Authors: Gavett Brandon E. , Widaman Keith F. , McKenzie Cathryn , De Leon Fransia S. , Fletcher Evan , Tomaszewski Farias Sarah , Mungas Dan 
Published: September 2023

AbstractObjective:Physical and recreational activities are behaviors that may modify risk of late-life cognitive decline. We sought to examine the role of retrospectively self-reported midlife (age 40) physical and recreational activity engagement – and self-reported change in these activities from age 40 to initial study visit – in predicting late-life cognition.Method:Data were obtained from 898 participants in a longitudinal study of cognitive aging in demographically and cognitively diverse older adults (Age: range = 49–93 years, M = 75, SD = 7.19). Self-reported physical and recreational activity participation at age 40 and at the initial study visit were quantified using the Life Experiences Assessment Form. Change in activities was modeled using latent change scores. Cognitive outcomes were obtained annually (range = 2–17 years) using the Spanish and English Neuropsychological Assessment Scales, which measure verbal episodic memory, semantic memory, visuospatial processing, and executive functioning.Results:Physical activity engagement at age 40 was strongly associated with cognitive performance in all four domains at the initial visit and with global cognitive slope. However, change in physical activities after age 40 was not associated with cognitive outcomes. In contrast, recreational activity engagement – both at age 40 and change after 40 – was predictive of cognitive intercepts and slope.Conclusions:Retrospectively self-reported midlife physical and recreational activity engagement were strongly associated with late-life cognition – both level of performance and rate of future decline. However, the data suggest that maintenance of recreational activity engagement (e.g., writing, taking classes, reading) after age 40 is more strongly associated with late-life cognition than continued maintenance of physical activity levels.
Analysing the potential impacts of three interventions on fruit and vegetable consumption in urban Kenya using participatory systems modelling
Authors: Nicholson Charles F , Monterrosa Eva 
Published: September 2023

AbstractObjective:This study uses participatory modelling with stakeholders to assess the potential impacts of three interventions intended to increase fruit and vegetable (F&V) consumption in urban Kenya.Design:A participatory process using Group Model Building (GMB) developed a conceptual model of the determinants of vegetable consumption. A subsequent quantitative System Dynamics model using data from primary and secondary sources simulated vegetable consumption from 2020 to 2024 under three proposed interventions suggested by stakeholders: increasing consumer awareness, reducing post-harvest losses and increasing farm yields. Model analyses assumed mean parameter values and assessed uncertainty using 200 simulations with randomised parameter values.Setting:The research was implemented in Nairobi, Kenya with simulation analyses of mean per capita consumption in this location.Participants:Workshops convened diverse F&V value chain stakeholders (farmers, government officials, NGO staff and technical experts) to develop the conceptual model, data inputs and intervention scenarios.Results:Increasing consumer awareness was simulated to increase vegetable consumption by relatively modest amounts by 2024 (5 g/person/d from a base of 131 g/person/d) under mean assumed value of value chain response parameters. Reducing perishability was simulated to reduce consumption due to the higher costs required to reduce losses. Increasing farm yields was simulated to have the largest impact on consumption at assumed parameter values (about 40 g/person/d) but would have a negative impact on farm profits, which could undermine efforts to implement this intervention.Conclusions:The combination of GMB and simulation modelling informed intervention priorities for an important public health nutrition issue.
Prediction of Proton Pressure in the Outer Part of the Inner Magnetosphere Using Machine Learning
Authors: Li S. Y. , Kronberg E. A. , Mouikis C. G. , Luo H. , Ge Y. S. , Du A. M. 
Published: September 2023

AbstractThe information on plasma pressure in the outer part of the inner magnetosphere is important for simulations of the inner magnetosphere and a better understanding of its dynamics. Based on 17‐year observations from both Cluster Ion Spectrometry and Research with Adaptive Particle Imaging Detector instruments onboard the Cluster mission, we used machine‐learning‐based models to predict proton plasma pressure at energies from ∼40 eV to 4 MeV in the outer part of the inner magnetosphere ( = 5–9). Proton pressure distributions are assumed to be isotropic. The location in the magnetosphere, the property of stably trapped particles, and parameters of solar, solar wind, and geomagnetic activity from the OMNI database are used as predictors. We trained several different machine‐learning‐based models and compared their performances with observations. The results demonstrate that the Extra‐Trees Regressor has the best predicting performance. The Spearman correlation between the observations and predictions by the model is about 70%. The most important parameter for predicting proton pressure in our model is the value, which relates to the property of stably trapped particles. The most important predictor of solar and geomagnetic activity is F10.7 index. Based on the observations and predictions by our model, we find that no matter under quiet or disturbed geomagnetic conditions, both the dusk‐dawn asymmetry at the dayside with higher pressure at the duskside and the day‐night asymmetry with higher pressure at the nightside occur. Our results have direct practical applications, for instance, inputs for simulations of the inner magnetosphere or the reconstruction of the 3‐D magnetospheric electric current system based on the magnetostatic equilibrium.
High Intra‐Seasonal Variability in Greenhouse Gas Emissions From Temperate Constructed Ponds
Authors: Ray Nicholas E. , Holgerson Meredith A. 
Published: September 2023

AbstractInland waters play a major role in global greenhouse gas (GHG) budgets. The smallest of these systems (i.e., ponds) have a particularly large—but poorly constrained—emissions footprint at the global scale. Much of this uncertainty is due to a poor understanding of temporal variability in emissions. Here, we conducted high‐resolution temporal sampling to quantify GHG exchange between four temperate constructed ponds and the atmosphere on an annual basis. We show these ponds are a net source of GHGs to the atmosphere (564.4 g CO2‐eq m−2 yr−1), driven by highly temporally variable diffusive methane (CH4) emissions. Diffusive CH4 release to the atmosphere was twice as high during periods when the ponds had a stratified water column than when it was mixed. Ebullitive CH4 release was also higher during stratification. Building ponds to favor mixed conditions thus presents an opportunity to minimize the global GHG footprint of future pond construction.
The Bay of Bengal: An Enigmatic Diazotrophic Niche
Authors: Saxena Himanshu , Sahoo Deepika , Nazirahmed Sipai , Chaudhari Diptaraj , Rahi Praveen , Kumar Sanjeev , Benavides Mar , Krishna Aswathy Vijaya , Sudheer A. K. , Singh Arvind 
Published: September 2023

AbstractBiological dinitrogen (N2) fixation is meagerly explored in the Bay of Bengal (Bay). Stratified, warm, oligotrophic (but relatively high iron and phosphate) and oxygen minimum zone (OMZ) waters of the Bay might be a niche for diazotrophs. Therefore, we conducted N2 fixation rate measurements during the spring inter‐monsoon in the euphotic zone, the OMZ and below the OMZ down to 1,500 m depth near the coastal and in the central Bay. We further assessed primary production and cyanobacterial community composition along with their potential environmental controlling parameters. N2 fixation rates in the euphotic zone were low (0.02–0.38 nmol N L−1 d−1) and their contribution to primary production was small (<2%). Despite conducive conditions for diazotrophy in the Bay, the reason for the relatively low euphotic zone and OMZ N2 fixation rates remained unclear and enigmatic. Interestingly, significantly higher N2 fixation rates occurred below the OMZ (>600 m depth), ranging from 0.06 to 0.11 nmol N L−1 d−1 where oxygen concentrations ranged between 0.5 and 1.6 mL L−1, rather than within the OMZ where rates ranged from 0.02 to 0.08 nmol N L−1 d−1 and oxygen concentrations were ≤0.5 mL L−1. Euphotic zone N2 fixation showed seasonality in the Bay with increasing rates from spring to summer season, perhaps owing to increasing Fe flux as the summer monsoon approaches its peak.
Functional genomic mechanisms of opioid action and opioid use disorder: a systematic review of animal models and human studies
Authors: Falconnier Camille , Caparros-Roissard Alba , Decraene Charles , Lutz Pierre-Eric 
Published: September 2023

AbstractIn the past two decades, over-prescription of opioids for pain management has driven a steep increase in opioid use disorder (OUD) and death by overdose, exerting a dramatic toll on western countries. OUD is a chronic relapsing disease associated with a lifetime struggle to control drug consumption, suggesting that opioids trigger long-lasting brain adaptations, notably through functional genomic and epigenomic mechanisms. Current understanding of these processes, however, remain scarce, and have not been previously reviewed systematically. To do so, the goal of the present work was to synthesize current knowledge on genome-wide transcriptomic and epigenetic mechanisms of opioid action, in primate and rodent species. Using a prospectively registered methodology, comprehensive literature searches were completed in PubMed, Embase, and Web of Science. Of the 2709 articles identified, 73 met our inclusion criteria and were considered for qualitative analysis. Focusing on the 5 most studied nervous system structures (nucleus accumbens, frontal cortex, whole striatum, dorsal striatum, spinal cord; 44 articles), we also conducted a quantitative analysis of differentially expressed genes, in an effort to identify a putative core transcriptional signature of opioids. Only one gene, Cdkn1a, was consistently identified in eleven studies, and globally, our results unveil surprisingly low consistency across published work, even when considering most recent single-cell approaches. Analysis of sources of variability detected significant contributions from species, brain structure, duration of opioid exposure, strain, time-point of analysis, and batch effects, but not type of opioid. To go beyond those limitations, we leveraged threshold-free methods to illustrate how genome-wide comparisons may generate new findings and hypotheses. Finally, we discuss current methodological development in the field, and their implication for future research and, ultimately, better care.
Behavioral and neurocognitive factors distinguishing post-traumatic stress comorbidity in substance use disorders
Authors: Houghton David C. , Spratt Heidi M. , Keyser-Marcus Lori , Bjork James M. , Neigh Gretchen N. , Cunningham Kathryn A. , Ramey Tatiana , Moeller F. Gerard 
Published: September 2023

AbstractSignificant trauma histories and post-traumatic stress disorder (PTSD) are common in persons with substance use disorders (SUD) and often associate with increased SUD severity and poorer response to SUD treatment. As such, this sub-population has been associated with unique risk factors and treatment needs. Understanding the distinct etiological profile of persons with co-occurring SUD and PTSD is therefore crucial for advancing our knowledge of underlying mechanisms and the development of precision treatments. To this end, we employed supervised machine learning algorithms to interrogate the responses of 160 participants with SUD on the multidimensional NIDA Phenotyping Assessment Battery. Significant PTSD symptomatology was correctly predicted in 75% of participants (sensitivity: 80%; specificity: 72.22%) using a classification-based model based on anxiety and depressive symptoms, perseverative thinking styles, and interoceptive awareness. A regression-based machine learning model also utilized similar predictors, but failed to accurately predict severity of PTSD symptoms. These data indicate that even in a population already characterized by elevated negative affect (individuals with SUD), especially severe negative affect was predictive of PTSD symptomatology. In a follow-up analysis of a subset of 102 participants who also completed neurocognitive tasks, comorbidity status was correctly predicted in 86.67% of participants (sensitivity: 91.67%; specificity: 66.67%) based on depressive symptoms and fear-related attentional bias. However, a regression-based analysis did not identify fear-related attentional bias as a splitting factor, but instead split and categorized the sample based on indices of aggression, metacognition, distress tolerance, and interoceptive awareness. These data indicate that within a population of individuals with SUD, aberrations in tolerating and regulating aversive internal experiences may also characterize those with significant trauma histories, akin to findings in persons with anxiety without SUD. The results also highlight the need for further research on PTSD-SUD comorbidity that includes additional comparison groups (i.e., persons with only PTSD), captures additional comorbid diagnoses that may influence the PTSD-SUD relationship, examines additional types of SUDs (e.g., alcohol use disorder), and differentiates between subtypes of PTSD.
Evaluation of CTRL: a web application for dynamic consent and engagement with individuals involved in a cardiovascular genetic disorders cohort
Authors: Haas Matilda A. , Madelli Evanthia O. , Brown Rosie , Prictor Megan , Boughtwood Tiffany 
Published: September 2023

AbstractThere has been keen interest in whether dynamic consent should be used in health research but few real-world studies have evaluated its use. Australian Genomics piloted and evaluated CTRL (‘control’), a digital consent tool incorporating granular, dynamic decision-making and communication for genomic research. Individuals from a Cardiovascular Genetic Disorders Flagship were invited in person (prospective cohort) or by email (retrospective cohort) to register for CTRL after initial study recruitment. Demographics, consent choices, experience surveys and website analytics were analysed using descriptive statistics. Ninety-one individuals registered to CTRL (15.5% of the prospective cohort and 11.8% of the retrospective cohort). Significantly more males than females registered when invited retrospectively, but there was no difference in age, gender, or education level between those who did and did not use CTRL. Variation in individual consent choices about secondary data use and return of results supports the desirability of providing granular consent options. Robust conclusions were not drawn from satisfaction, trust, decision regret and knowledge outcome measures: differences between CTRL and non-CTRL cohorts did not emerge. Analytics indicate CTRL is acceptable, although underutilised. This is one of the first studies evaluating uptake and decision making using online consent tools and will inform refinement of future designs.
A maternally programmed intergenerational mechanism enables male offspring to make piRNAs from Y-linked precursor RNAs in Drosophila
Authors: Venkei Zsolt G. , Gainetdinov Ildar , Bagci Ayca , Starostik Margaret R. , Choi Charlotte P. , Fingerhut Jaclyn M. , Chen Peiwei , Balsara Chiraag , Whitfield Troy W. , Bell George W. , Feng Suhua , Jacobsen Steven E. , Aravin Alexei A. , Kim John K. , Zamore Phillip D. , Yamashita Yukiko M. 
Published: September 2023

AbstractIn animals, PIWI-interacting RNAs (piRNAs) direct PIWI proteins to silence complementary targets such as transposons. In Drosophila and other species with a maternally specified germline, piRNAs deposited in the egg initiate piRNA biogenesis in the progeny. However, Y chromosome loci cannot participate in such a chain of intergenerational inheritance. How then can the biogenesis of Y-linked piRNAs be initiated? Here, using Suppressor of Stellate (Su(Ste)), a Y-linked Drosophila melanogaster piRNA locus as a model, we show that Su(Ste) piRNAs are made in the early male germline via 5′-to-3′ phased piRNA biogenesis initiated by maternally deposited 1360/Hoppel transposon piRNAs. Notably, deposition of Su(Ste) piRNAs from XXY mothers obviates the need for phased piRNA biogenesis in sons. Together, our study uncovers a developmentally programmed, intergenerational mechanism that allows fly mothers to protect their sons using a Y-linked piRNA locus.
A simple and efficient process for the synthesis of 2D carbon nitrides and related materials
Authors: Moreira Da Silva Cora , Vallet Maxime , Semion Clément , Blin Thomas , Saint-Martin Romuald , Leroy Jocelyne , Dragoé Diana , Brisset François , Gillet Cynthia , Guillot Régis , Huc Vincent 
Published: September 2023

AbstractWe describe here a new process for the synthesis of very high quality 2D Covalent Organic Frameworks (COFs), such a C2N and CN carbon nitrides. This process relies on the use of a metallic surface as both a reagent and a support for the coupling of small halogenated building blocks. The conditions of the assembly reaction are chosen so as to leave the inorganic salts by-products on the surface, to further confine the assembly reaction on the surface and increase the quality of the 2D layers. We found that under these conditions, the process directly returns few layers material. The structure/quality of these materials is demonstrated by extensive cross-characterizations at different scales, combining optical microscopy, Scanning Electron Microscopy (SEM)/Transmission Electron Microscopy (TEM) and Energy Dispersive Spectroscopy (EDS). The availability of such very large, high-quality layers of these materials opens interesting perspectives, for example in photochemistry and electronics (intrinsic transport properties, high gap substrate for graphene, etc...).