bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tectonic control on the palaeogeographic evolution of thrust‐top basins at the active margin of the Guadalquivir Basin (central Betic Cordillera, S Spain)
Authors: Aguirre Julio , Braga Juan C. , Martín José M. , Puga‐Bernabéu Ángel 
Published: February 2024

AbstractThe Guadalquivir Basin is the foreland basin of the Betic Cordillera (S Spain). Closest to the orogen, several thrust‐top basins evolved during the Late Miocene in the central part of the cordillera. Here, we study the Upper Miocene deposits in five of these satellite basins: Montefrío, Iznájar‐Cuevas de San Marcos, Antequera, Bobadilla Estación and Teba, in order to (1) update the stratigraphic framework, (2) infer a depositional model, (3) establish the relationship between sedimentary record and tectonic context and (4) reconstruct the palaeogeography of the area during the Late Miocene. Upper Miocene sediments mostly consist of mixed carbonate‐terrigenous deposits. Facies characterization allows inferring a sedimentary model corresponding to a ramp with foreshore deposits changing to a shoal belt offshore in the inner ramp. Swaley and hummocky cross‐stratified deposits formed in the transition to the middle ramp, and plane parallel carbonate beds in the distal middle‐outer ramp. Factory facies, dominated by rhodoliths and bryozoans, also occur in the middle‐outer ramp environments. Silts and marls formed in the deepest outer ramp and basin settings respectively. Breccias accumulated at the toe of palaeocliffs and conglomerates and massive coarse sands were deposited in fluvio‐deltaic systems. Conglomerates and sands were also reworked as gravity flows and redeposited offshore. Local facies include rudstones‐grainstones displaying large‐scale trough‐cross bedding formed in a strait in Montefrío, and marls with chalky carbonates deposited in a shallow marine, sheltered lagoon with hydromorphic soils in Bobadilla Estación. The study basins evolved in an N‐S compressive tectonic context responsible of the emersion of the main Betic reliefs. Concomitantly, E‐W and ESE‐WNW extension originated the main depocentres. The influence of the tectonic activity on the sedimentary infills is indicated by the presence of synsedimentary deformations and several diachronic unconformities, which are younger westward. Tectonism, in turn, also controlled the palaeogeographic evolution during the late Tortonian‐early Messinian interval.
Language brokering profiles of Mexican‐origin adolescents in immigrant communities: Social‐cultural contributors and developmental outcomes
Authors: Kim Su Yeong , Song Jiaxiu , Wen Wen , Yan Jinjin , Tse Hin Wing , Chen Shanting , López Belem G. , Shen Yishan , Hou Yang 
Published: February 2024

AbstractThis study examines social‐cultural contributors and developmental outcomes of language brokers. From 2012 to 2020, three waves of data were collected from 604 Mexican‐origin adolescent language brokers (Mage = 12.92, SD = 0.92, 54% girls). The study (1) identified four distinct subgroups of language brokers (efficacious, conservative, nonchalant, and burdened) who translated for mothers and fathers, after incorporating objective bilingual proficiency along with multiple dimensions of language brokering; (2) showed that early adolescents' Mexican, rather than U.S., cultural values and orientation were related to later language brokering profiles; and (3) showed that the efficacious group was the most resilient while burdened was the most vulnerable to developmental problems. Preservation of Mexican culture may facilitate language brokering experiences related to more positive developmental outcomes.
Co‐recovery of physical size and cognitive ability from infancy to adolescence: A twin study
Authors: Womack Sean R. , Beam Christopher R. , Giangrande Evan J. , Tong Xin , Scharf Rebecca J. , Finkel Deborah , Davis Deborah W. , Turkheimer Eric 
Published: February 2024

AbstractThis study tested phenotypic and biometric associations between physical and cognitive catch‐up growth in a community sample of twins (n = 1285, 51.8% female, 89.3% White). Height and weight were measured at up to 17 time points between birth and 15 years, and cognitive ability was assessed at up to 16 time points between 3 months and 15 years. Weight and length at birth were positively associated with cognitive abilities in infancy and adolescence (r's = .16–.51). More rapid weight catch‐up growth was associated with slower, steadier cognitive catch‐up growth. Shared and nonshared environmental factors accounted for positive associations between physical size at birth and cognitive outcomes. Findings highlight the role of prenatal environmental experiences in physical and cognitive co‐development.
Exploring potential reach and representativeness of a self‐weighing weight gain prevention intervention in adults with overweight and obesity
Authors: Scotti Kellie B. , Rajoria Melinda , Carrera Seoane Montserrat , Ross Kathryn M. , Muenyi Sofia , McVay Megan A. 
Published: February 2024

SummaryMost adults with obesity do not enrol in comprehensive weight loss interventions when offered. For these individuals, lower burden self‐weighing interventions may offer an acceptable alternative, though data is lacking on the potential for reach and representativeness of such interventions. Health system patients with BMI ≥30 kg/m2 (or 25–30 kg/m2 with an obesity comorbidity) completed a general health survey. During the survey, patients were given information about comprehensive weight loss interventions. If they denied interest or did not enrol in a comprehensive intervention, they were offered enrolment in a low‐burden weight gain prevention intervention focused on daily self‐weighing using a cellular network‐connected in‐home scale without any dietary or physical activity prescriptions. Enrolment in this program was documented. Among patients offered the self‐weighing intervention (n = 85; 55.3% men; 58.8% White; BMI = 34.2 kg/m2), 44.2% enrolled. Compared to those who did not enrol, enrollers had higher educational attainment (57.1% vs. 42.9% with bachelor's degree p = .02), social anxiety (5.8 vs. 2.8, p < .001), and perceptions of the effectiveness of the self‐weighing intervention (25.8 vs. 20.9 on 35, p = .007). The most highly endorsed reason for not enrolling in the self‐weighing intervention was that it would make individuals overly focused on weight. A low‐intensity weight gain prevention intervention may serve as a viable alternative to comprehensive weight loss interventions for the substantial portion of patients who are at risk for continued weight gain but would otherwise not enrol in a comprehensive intervention. Differential enrolment by education, however, suggests potential for inequitable uptake.
A meta‐analysis of diabetes risk prediction models applied to prediabetes screening
Authors: Liu Yujin , Yu Sunrui , Feng Wenming , Mo Hangfeng , Hua Yuting , Zhang Mei , Zhu Zhichao , Zhang Xiaoping , Wu Zhen , Zheng Lanzhen , Wu Xiaoqiu , Shen Jiantong , Qiu Wei , Lou Jianlin 
Published: February 2024

AbstractAimTo provide a systematic overview of diabetes risk prediction models used for prediabetes screening to promote primary prevention of diabetes.MethodsThe Cochrane, PubMed, Embase, Web of Science and China National Knowledge Infrastructure (CNKI) databases were searched for a comprehensive search period of 30 August 30, 2023, and studies involving diabetes prediction models for screening prediabetes risk were included in the search. The Quality Assessment Checklist for Diagnostic Studies (QUADAS‐2) tool was used for risk of bias assessment and Stata and R software were used to pool model effect sizes.ResultsA total of 29 375 articles were screened, and finally 20 models from 24 studies were included in the systematic review. The most common predictors were age, body mass index, family history of diabetes, history of hypertension, and physical activity. Regarding the indicators of model prediction performance, discrimination and calibration were only reported in 79.2% and 4.2% of studies, respectively, resulting in significant heterogeneity in model prediction results, which may be related to differences between model predictor combinations and lack of important methodological information.ConclusionsNumerous models are used to predict diabetes, and as there is an association between prediabetes and diabetes, researchers have also used such models for screening the prediabetic population. Although it is a new clinical practice to explore, differences in glycaemic metabolic profiles, potential complications, and methods of intervention between the two populations cannot be ignored, and such differences have led to poor validity and accuracy of the models. Therefore, there is no recommended optimal model, and it is not recommended to use existing models for risk identification in alternative populations; future studies should focus on improving the clinical relevance and predictive performance of existing models.
Baseline and change in serum uric acid level over time and resolution of nonalcoholic fatty liver disease in young adults: The Kangbuk Samsung Health Study
Authors: Cho Yoosun , Chang Yoosoo , Ryu Seungho , Wild Sarah H. , Byrne Christopher D. 
Published: February 2024

AbstractAimsTo determine the association between: (i) baseline serum uric acid (SUA) level and (ii) SUA changes over time, and nonalcoholic fatty liver disease (NAFLD) resolution.Materials and MethodsA retrospective cohort study, comprising 38 483 subjects aged <40 years with pre‐existing NAFLD, was undertaken. The effects of SUA changes over time were studied in 25 266 subjects. Participants underwent a health examination between 2011 and 2019, and at least one follow‐up liver ultrasonography scan up to December 2020. Exposures included baseline SUA level and SUA changes between baseline and subsequent visits, categorized into quintiles. The reference group was the third quintile (Q3) containing zero change. The primary endpoint was resolution of NAFLD.ResultsDuring a median follow‐up of 4 years, low baseline SUA level and decreases in SUA levels over time were independently associated with NAFLD resolution (p for trend <0.001). Using SUA as a continuous variable, the likelihood of NAFLD resolution was increased by 10% and 13% in men and women, respectively, per 1‐mg/dL decrease in SUA. In a time‐dependent model with changes in SUA treated as a time‐varying covariate, adjusted hazard ratios (95% confidence intervals) for NAFLD resolution comparing Q1 (highest decrease) and Q2 (slight decrease) to Q3 (reference) were 1.63 (1.49–1.78) and 1.23 (1.11–1.35) in men and 1.78 (1.49–2.12) and 1.18 (0.95–1.46) in women, respectively.ConclusionsLow baseline SUA levels and a decrease in SUA levels over time were both associated with NAFLD resolution in young adults.
Bardet‐Biedl syndrome: A focus on genetics, mechanisms and metabolic dysfunction
Authors: Tomlinson Jeremy W. 
Published: February 2024

AbstractBardet‐Biedl syndrome (BBS) is a rare, monogenic, multisystem disorder characterized by retinal dystrophy, renal abnormalities, polydactyly, learning disabilities, as well as metabolic dysfunction, including obesity and an increased risk of type 2 diabetes. It is a primary ciliopathy, and causative mutations in more than 25 different genes have been described. Multiple cellular mechanisms contribute to the development of the metabolic phenotype associated with BBS, including hyperphagia as a consequence of altered hypothalamic appetite signalling as well as alterations in adipocyte biology promoting adipocyte proliferation and adipogenesis. Within this review, we describe in detail the metabolic phenotype associated with BBS and discuss the mechanisms that drive its evolution. In addition, we review current approaches to the metabolic management of patients with BBS, including the use of weight loss medications and bariatric surgery. Finally, we evaluate the potential of targeting hypothalamic appetite signalling to limit hyperphagia and induce clinically significant weight loss.
Landscape simplification, urbanization, biological invasions, and climate change: a review of the major threats to native coccinellids in Central Chile
Authors: Grez Audrey , Zaviezo Tania 
Published: February 2024

AbstractCoccinellids (Coleoptera) are important natural enemies of pests in agroecosystems. However, worldwide, native species face several threats, including landscape simplification, biological invasions, and climate change. In Central Chile, one of the global biodiversity hotspots, coccinellid communities are very diverse and are composed mostly of native species, which are most common in less disturbed habitats. In alfalfa fields, native coccinellids play a crucial role in the biological control of aphids, even when they are less abundant than exotics. However, in the last 2 decades, native species in this crop have declined in abundance and diversity. Our long‐lasting field and laboratory studies have shown that this decline is associated with: (1) the invasion of Harmonia axyridis (Pallas), which has superior competitive abilities and escapes more from parasitism; (2) the simplification of agricultural landscapes, loss of natural habitats, and urbanization; and (3) increasing environmental temperatures and decreasing precipitation. The decline in native coccinellid populations has resulted in a loss of taxonomic and functional diversity of assemblages, which may jeopardize biological control. Alfalfa fields and natural and semi‐natural habitats may offer an opportunity for the conservation of native coccinellids in agricultural landscapes. Such conservation might be achieved with better management of alfalfa fields and surrounding areas.
Environmentally friendly assessment of ecological quality of watercourses based on banded demoiselle, Calopteryx splendens
Authors: Simon Edina , Kolozsvári István , Dévai György , Illár Máté , Szalay Petra Éva , Miskolczi Margit , Tóthmérész Béla 
Published: February 2024

AbstractDragonflies and damselflies are excellent bioindicators of the quality of both aquatic and terrestrial ecosystems. In our study, we assessed the usefulness of metric and meristic morphological traits as environmentally friendly and cost‐effective indicators of the integrative ecological quality of watercourses. Our study species of choice was the damselfly banded demoiselle, Calopteryx splendens (Harris) (Odonata: Calopterygidae). Adult C. splendens specimens were collected at three study sites along the trophic gradient of the Tisza River in Hungary and Ukraine. Body and abdomen length, head width, and distances between wing landmarks were assessed as metric traits, and the number of wing cells as meristic traits. The concentration of chlorophyll‐a was used to classify the three study sites into having a low, intermediate, and high trophic condition based on earlier studies. Significant differences were found along the trophic gradient based on the measured metric and meristic traits. Especially, insects from the site with the highest trophic condition had the largest body length, head width, and distances between wing landmarks, as well as the highest number of cells in the fore wings. There were also differences between males and females, but we did not find differences in fluctuating asymmetry (FA), i.e., differences between the left and the right wings. These results indicated that the morphological traits of adult banded demoiselles could be indicative of the environmental quality of a watercourse.
Sources of prey availability data alter interpretation of outputs from prey choice null networks
Authors: Cuff Jordan P. , Tercel Maximillian P. T. G. , Windsor Fredric M. , Hawthorne Ben S. J. , Hambäck Peter A. , Bell James R. , Symondson William O. C. , Vaughan Ian P. 
Published: February 2024

Abstract
Null models provide a valuable baseline against which fundamental ecological hypotheses can be tested and foraging choices that cannot be explained by neutral processes or sampling biases can be highlighted. In this way, null models can advance our understanding beyond simplistic dietary descriptions to identify drivers of interactions. This method, however, requires estimates of resource availability, which are generally imperfect representations of highly dynamic systems. Optimising method selection is crucial for study design, but the precise effects of different resource availability data on the efficacy of null models are poorly understood.
Using spider–prey networks as a model, we used prey abundance (suction sample) and activity density (sticky trap) data, and combinations of the two, to simulate null networks. We compared null diet composition, network properties (e.g., connectance and nestedness) and deviations of simulations from metabarcoding‐based spider dietary data to ascertain how different prey availability data alter ecological interpretation.
Different sampling methods produced different null networks and inferred distinct prey selectivity. Null models based on prey abundance and combined frequency‐of‐occurrence data generated null diet compositions, which more closely resembled the diet composition determined by metabarcoding. Null models based on prey abundance, activity density and proportionally combined data generated null network properties most like the networks constructed via dietary metabarcoding.
We show that survey method choice impacts all aspects of null network analyses, the precise effects varying between methods but ultimately altering ecological interpretation by increasing disparity in network properties or trophic niches between null and directly constructed networks. Merging datasets can generate more complete prey availability data but is not a panacea because it introduces different biases. The choice of method should reflect the research hypotheses and study system being investigated. Ultimately, survey methods should emulate the foraging mode of the focal predator as closely as possible, informed by the known ecology, natural history and behaviour of the predator.
Revisiting the relationships between leadership and job satisfaction
Authors: Kauppila Olli‐Pekka 
Published: February 2024

AbstractMost studies in management and leadership argue that employees' job satisfaction is higher when they have a competent leader who provides social support and expects high performance. However, based on research on job attitudes, we could also draw very different conclusions, such that employees observe and judge their leaders from different attitudinal viewpoints, depending on whether they are satisfied or dissatisfied with their jobs. This study explicitly investigates whether job satisfaction functions as an antecedent or an outcome of employees' experiences of leader behavior. Utilizing a cross‐lagged panel design with two data‐collection points, we analyzed a sample of 638 individuals working across 34 organizations in Finland. Our findings underscore that the positive associations between employees' job satisfaction and favorable perceptions of leaders' behavior are primarily driven by job satisfaction itself. In light of these results, we introduce the “Job Attitude–Interpretation Model of Leader Perceptions,” offering valuable insights into how job satisfaction acts as an attitudinal lens that biases employees' evaluative judgments about their leaders.
Morphometric magnetic resonance imaging (MRI) postprocessing in MRI‐negative patients with first unprovoked seizure
Authors: Tsalouchidou Panagiota‐Eleni , Hoffmann Johanna , Strehlau Sascha , Linka Louise , Belke Marcus , Habermehl Lena , Schulze Maximilian , Kemmling André , Menzler Katja , Knake Susanne 
Published: February 2024

AbstractObjectiveThe aim of the study was to evaluate the benefits of morphometric magnetic resonance imaging (MRI) postprocessing in patients presenting with a first seizure and negative MRI results and to investigate these findings in the context of the clinical and electroencephalographic data, seizure recurrence rates, and epilepsy diagnosis in these patients.MethodsWe retrospectively reviewed 97 MRI scans of patients with first unprovoked epileptic seizure and no evidence of epileptogenic lesion on clinical routine MRI. Morphometric Analysis Program (MAP; v2018), automated postprocessing software, was used to identify subtle, potentially epileptogenic lesions in the three‐dimensional T1‐weighted MRI data. The resulting probability maps were examined together with the conventional MRI images by a reviewer who remained blinded to the patients' clinical and electroencephalographical data. Clinical data were prospectively collected between February 2018 and May 2023.ResultsAmong the apparently MRI‐negative patients, a total of 18 of 97 (18.6%) showed cortical changes suggestive of focal cortical dysplasia. Within the population with positive MAP findings (MAP+), seizure recurrence rates were 61.1% and 66.7% at 1 and 2 years after the first unprovoked seizure, respectively. Conversely, patients with negative MAP findings (MAP−) had lower seizure recurrence rates of 27.8% and 34.2% at 1 and 2 years after the first unprovoked seizure, respectively. Patients with MAP+ findings were significantly more likely to be diagnosed with epilepsy than those patients with MAP− findings (χ2 [1, n = 97] = 14.820, p < .001, odds ratio = 21.371, 95% CI = 2.710–168.531) during a mean follow‐up time of 22.51 months (SD = 16.7 months, range = 1–61 months).SignificanceMRI postprocessing can be a valuable tool for detecting subtle epileptogenic lesions in patients with a first seizure and negative MRI results. Patients with first seizure and MAP+ findings had high seizure recurrence rates, meeting the criteria for beginning epilepsy.
A multi‐label social short text classification method based on contrastive learning and improved ml‐KNN
Authors: Tian Gang , Wang Jiachang , Wang Rui , Zhao Guangxin , He Cheng 
Published: February 2024

AbstractShort texts on social platforms often have the problems of diverse categories and semantic sparsity, making it challenging to identify the diverse intentions of users. To address this issue, this article proposes a multi‐label social short text classification method (IML‐CL) based on contrastive learning and improved ml‐KNN. First, a contrastive learning approach is employed to train a multi‐label text classification model. This approach improves semantic sparsity by leveraging the knowledge from the existing samples to enrich the feature representation of short texts. Simultaneously, an improved ml‐KNN algorithm is developed to enhance the accuracy of label prediction. This algorithm utilizes a two‐layer nearest neighbor rule and introduces a penalty function and weight optimization. Next, the model generates the feature representation for the test sample and predicts its label. Additionally, the improved ml‐KNN algorithm retrieves neighbors of the test sample and uses their label information for prediction. Finally, the two predictions are combined to obtain the final prediction, which accurately identifies the user's intention. The experimental results demonstrate that, on the dataset constructed in this article, the IML‐CL method effectively boosts the performance of the baseline model.