bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exemplars in ‘science and religion’: a theological dialogue with Thomas Kuhn
Authors: Reeves Josh A. 
Published: November 2023

Abstract
This article argues that Thomas Kuhn's landmark work, The Structure of Scientific Revolutions, has not been adequately explored by theologians and scholars in the field of science and religion. While many cite Kuhn to suggest that science and religion share structural similarities, I contend that his work is crucial in addressing current debates about the definitions of ‘science’ and ‘religion’ and the potential for intellectual progress between them. Kuhn's framework provides more than a justification for adhering to incommensurable worldviews; it offers a nuanced understanding of how science and religion interact and the significance of tacit knowledge in scientific practice. This article explains Kuhn's focus on exemplars in his philosophy of science, which underpin his argument for key differences between science and theological inquiry. The article concludes that Kuhn's pluralistic view of truth offers theologians an opportunity to engage more deeply with science, rather than sidestepping it entirely.
Exploring early syntactic generalisation: evidence from a growth curve analysis of Spanish “se” constructions
Authors: RICHES Nick 
Published: November 2023

AbstractChildren’s early grammatical constructions, e.g., SVO, exhibit a learning curve with cumulative verb types (CVT) increasing exponentially. According to Ninio (2006), the fact that learning curves, though nonlinear, can be modelled by a continuous regression suggests instant generalisation. Moreover, differences in initial verbs across children indicate minimal involvement of semantics. This study tested these claims on the Spanish “se” constructions (SSCs) in two children, Juan and Lucía (Aguado-Orea & Pine, 2015). Ninio’s findings were replicated. Nonetheless, exploratory analyses indicated that curves are driven by the temporal distribution of tokens (instances of the SSC irrespective of verb type) and therefore may reflect non-productivity-related mechanisms, e.g., retrieval-based learning. Furthermore, hapax verbs were relatively late to emerge in the children’s data, suggesting emergent generalisation. Analyses of raw lexical frequencies indicated relative semantic homogeneity across the two children’s verb types, suggesting a semantic prototype. Nonetheless, ecological factors may also explain these lexical similarities.
Prevalence of Chlamydia trachomatis and Neisseria gonorrhoeae infections in Tlaxcala, Mexico
Authors: Meneses-León Joacim , Hernández-López Rubí , Hernández-Salazar Sonia , Torres-Ibarra Leticia , Rivera-Paredez Berenice , León-Maldonado Leith , Magis-Rodríguez Carlos , Lazcano-Ponce Eduardo , Salmerón Jorge 
Published: November 2023

Abstract
Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) are widely recognised as two prevalent sexually transmitted infections that can have detrimental effects on women’s reproductive health. Previous research has concentrated on studying high-risk populations, resulting in limited epidemiological data regarding the general population. Therefore, the objective of this study was to estimate the prevalence of CT and NG among women attending public primary health care in Tlaxcala, Mexico. The study sample included 2,396 women already participating in the cervical cancer screening programme, from July to November 2014. After obtaining informed consent, the CT and NG tests were conducted on cervical samples, using a nucleic acid amplification test. We estimate the prevalence with 95% confidence intervals (CIs). Women who tested positive were promptly notified and provided with appropriate treatment. In our study population, CT and NG prevalences were 3.2 (95% CI: 2.6–4.0) and 0.01 (95% CI: 0.01–0.03), respectively. CT prevalence was higher in younger women (age < 40), although the results indicate a low prevalence; due to the potentially significant impact of CT and NG on women’s health, we require adequate surveillance, and guaranteeing rapid referral to the correct treatment is a priority for the control of these diseases.
Parental holding of infants improves haemodynamics in the cardiac ICU
Authors: Elhoff Justin J. , Acosta Sebastian , Flores Saul , LaSalle Julie , Loomba Rohit , McGetrick Molly , McKinney Christy , Ostrom Megan , Pande Chetna K. , Schlosser Robin , Schwab Sarah , Savorgnan Fabio 
Published: November 2023

AbstractWe performed a single-centre, retrospective study to assess physiologic changes of infants in the cardiac ICU while being held by their parent. Continuous data streaming of vital signs were collected for infants included in the study from January 2021 to March 2022. Demographic and clinical characteristics were collected from the electronic medical record. The physiologic streaming data were analysed using mixed-effects models to account for repeated measures and quantify the effect of parental holding. Comparison analysis was also performed controlling for intubation, pre-operative versus post-operative status, and whether the holding was skin-to-skin or not. Ninety-five patients with complete physiologic data were included in the study. There were no immediate adverse events associated with holding. Heart rate decreased during the response time compared to its baseline value (p = 0.01), and this decrease was more pronounced for the non-intubated and pre-operative patients. The near-infrared spectroscopy-based venous saturation increased overall (p = 0.02) in patients while being held. We conclude that parental holding of infants in the cardiac ICU can be safely accomplished, and the haemodynamic and oximetric profile during the holding is favourable compared to the infants’ baseline prior to holding.
Access to episodic primary care: a cross-sectional comparison of walk-in clinics and urgent primary care centers in British Columbia
Authors: McCracken Mary A. , Cooper Ian R. , Hamilton Michee-Ana , Klimas Jan , Lindsay Cameron , Fletcher Sarah , Price Morgan , Hedden Lindsay , McCracken Rita K. 
Published: November 2023

Abstract

Aim:
This study aimed to identify publicly reported access characteristics for episodic primary care in BC and provided a clinic-level comparison between walk-in clinics and UPCCs.

Background:
Walk-in clinics are non-hospital-based primary care facilities that are designed to operate without appointments and provide increased healthcare access with extended hours. Urgent and Primary Care Centres (UPCCs) were introduced to British Columbia (BC) in 2018 as an additional primary care resource that provided urgent, but not emergent care during extended hours.

Methods:
This cross-sectional study used publicly available data from all walk-in clinics and UPCCs in BC. A structured data collection form was used to record access characteristics from clinic websites, including business hours, weekend availability, attachment to a longitudinal family practice, and provision of virtual services.

Findings:
In total, 268 clinics were included in the analysis (243 walk-in clinics, 25 UPCCs). Of those, 225 walk-in clinics (92.6%) and two UPCCs (8.0%) were attached to a longitudinal family practice. Only 153 (63%) walk-in clinics offered weekend services, compared to 24 (96%) of UPCCs. Walk-in clinics offered the majority (8,968.6/ 78.4%) of their service hours between 08:00 and 17:00, Monday to Friday. UPCCs offered the majority (889.3/ 53.7%) of their service hours after 17:00.

Conclusion:
Most walk-in clinics were associated with a longitudinal family practice and provided the majority of clinic services during typical business hours. More research that includes patient characteristics and care outcomes, analyzed at the clinic level, may be useful to support the optimization of episodic primary healthcare delivery.
Querying Incomplete Data: Complexity and Tractability via Datalog and First-Order Rewritings
Authors: GHEERBRANT AMÉLIE , LIBKIN LEONID , ROGOVA ALEXANDRA , SIRANGELO CRISTINA 
Published: November 2023

AbstractTo answer database queries over incomplete data, the gold standard is finding certain answers: those that are true regardless of how incomplete data is interpreted. Such answers can be found efficiently for conjunctive queries and their unions, even in the presence of constraints. With negation added, the problem becomes intractable however. We concentrate on the complexity of certain answers under constraints and on effficiently answering queries outside the usual classes of (unions) of conjunctive queries by means of rewriting as Datalog and first-order queries. We first notice that there are three different ways in which query answering can be cast as a decision problem. We complete the existing picture and provide precise complexity bounds on all versions of the decision problem, for certain and best answers. We then study a well-behaved class of queries that extends unions of conjunctive queries with a mild form of negation. We show that for them, certain answers can be expressed in Datalog with negation, even in the presence of functional dependencies, thus making them tractable in data complexity. We show that in general, Datalog cannot be replaced by first-order logic, but without constraints such a rewriting can be done in first order.
Developmental origins of health and disease knowledge is associated with diet quality in preconception young adult men and women
Authors: Salvesen Lorentz , Valen Erlend Nuland , Wills Andrew Keith , Hillesund Elisabet Rudjord , Vik Frøydis Nordgård , Engeset Dagrun , Øverby Nina Cecilie , Medin Anine Christine 
Published: November 2023

AbstractThe Developmental Origins of Health and Disease (DOHaD) approach supports that nutritional exposures in early life affect an individual’s later health and risk of disease. Dietary exposure during the preconception period may also influence individual, and inter- and transgenerational health and disease risk, in both men and women. This study aimed to describe knowledge of the DOHaD approach (DOHaDKNOWLEDGE) and diet quality in preconception young adults in Norway, to assess associations between DOHaDKNOWLEDGE and a Diet Quality Score (DQS), and to assess gender differences in those above. Data from 1362 preconception young adults was obtained from the PREPARED study baseline dataset. The sample had 88% women participants, a mean age of 27 years, 36% had overweight or obesity, and 77% had higher level of education. DOHaDKNOWLEDGE was assessed by the participants’ agreement to five statements using a Likert scale. Diet quality was assessed using aspects of diet quality and a DQS derived from a dietary screener. We found moderate level of both DOHaDKNOWLEDGE (12/20 points) and diet quality (DQS: 60/100 points), indicating potential for improvements. Specifically, the greatest potential for diet quality improvements were observed for sugary foods, red and processed meats, legumes, and unsalted nuts and seeds. Gender differences were observed for both DOHaDKNOWLEDGE and diet quality. DOHaDKNOWLEDGE was positively associated with DQS, adjusted for sociodemographic factors, with little evidence of an interaction effect by gender. This study indicates that knowledge of the DOHaD approach is positively associated with diet quality in preconception young men and women. Future studies should consider incorporating pregnancy intentions, relationship status, and health literacy.
Global Patterns of Surface Ocean Dissolved Organic Matter Stoichiometry
Authors: Liang Zhou , Letscher Robert T. , Knapp Angela N. 
Published: November 2023

AbstractSurface ocean marine dissolved organic matter (DOM) serves as an important reservoir of carbon (C), nitrogen (N), and phosphorus (P) in the global ocean, and is produced and consumed by both autotrophic and heterotrophic communities. While prior work has described distributions of dissolved organic carbon (DOC) and nitrogen (DON) concentrations, our understanding of DOC:DON:DOP stoichiometry in the global surface ocean has been limited by the availability of DOP concentration measurements. Here, we estimate mean surface ocean bulk and semi‐labile DOC:DON:DOP stoichiometry in biogeochemically and geographically defined regions using newly available marine DOM concentration databases. Global mean surface ocean bulk (C:N:P = 387:26:1) and semi‐labile (C:N:P = 179:20:1) DOM stoichiometries are higher than Redfield stoichiometry, with semi‐labile DOM stoichiometry similar to that of global mean surface ocean particulate organic matter (C:N:P = 160:21:1) reported in a recent compilation. DOM stoichiometry varies across ocean basins, ranging from 251:17:1 to 638:43:1 for bulk and 83:15:1 to 414:49:1 for semi‐labile DOM C:N:P, respectively. Surface ocean DOP concentration exhibits larger relative changes than DOC and DON, driving surface ocean gradients in DOC:DON:DOP stoichiometry. Inferred autotrophic consumption of DOP helps explain intra‐ and inter‐basin patterns of marine DOM C:N:P stoichiometry, with regional patterns of water column denitrification and iron supply influencing the biogeochemical conditions favoring DOP use as an organic nutrient. Specifically, surface ocean marine DOM exhibits increasingly P‐depleted stoichiometries from east to west in the Pacific and from south to north in the Atlantic, consistent with patterns of increasing P stress and alleviated iron stress.
Properties of Quiet Magnetotail Plasma Sheet at Lunar Distances
Authors: Runov A. , Angelopoulos V. , Khurana K. , Liu J. , Balikhin M. , Artemyev A. V. 
Published: November 2023

AbstractThe Earth's magnetotail at lunar distances (R ≈ 60 RE) serves as a unique laboratory to study plasma dynamics in a weak, highly fluctuating magnetic field with a strong magnetic field gradient. In particular, studies of the of quiet‐time plasma in the lunar‐distant magnetotail can inform us about plasma entry to the magnetosphere and sources of magnetospheric plasma populations. We use the data collected by the two lunar‐orbiting Acceleration, Reconnection, Turbulence and Electrodynamics of Moon's Interaction with the Sun (ARTEMIS) spacecraft during its 2013–2019 magnetotail traversals to infer the average thermodynamic and spectral properties of plasma populations in the quiet‐time (i.e., low geomagnetic activity and absence of fast plasma flows) magnetotail at lunar distances. We found that plasma temperature and density in the quiet‐time magnetotail at R ≈ 60 RE are organized by the magnetic field. Three distinct regions with plasma β ≫ 1, β ∼ 1, and β ≪ 1, the central plasma sheet (CPS), outer plasma sheet (OPS), and lobes are sampled. We found that temperatures and energy spectra of ion populations in CPS, OPS, and lobes regimes are different: the hotter CPS temperatures scale with the kinetic energy of solar wind protons; cold OPS/lobe ions are, likely, of ionospheric origin. The ion and electron particle spectra in CPS, OPS, and lobes are nonthermal and reasonably well fitted by the Kappa function, with κ exponent varying between 2.5 and 3.5.
A Structured Graph Neural Network for Improving the Numerical Weather Prediction of Rainfall
Authors: Peng Xuan , Li Qian , Chen Lei , Ning Xiangyu , Chu Hai , Liu Jinqing 
Published: November 2023

AbstractThe current challenges of numerical weather prediction (NWP) of rainfall mainly stem from the complex and multiscale nature of rainfall. In recent years, as observation capability improved worldwide, there has been an increased feasibility to use data‐driven models to enhance forecasting performance with rainfall observation. Compared to traditional statistical and machine learning models, deep‐learning models show considerable promise in capturing the spatial‐temporal features of weather processes from multiple predictors, but the convolution‐based feature extractor is suboptimal due to the linear nature of convolution kernels. In this study, a multilevel forecasting model is proposed to forecast each rainfall level, in which each submodel adopts a graph neural network for feature extraction. Spatial and temporal propagation functions based on grid structure are designed to explicitly represent feature fusion and propagation of multiple predictors across multiple scales. On model training, a weight setting strategy that balances the impact of samples with different rainfall values on the total training loss is proposed, and a soft classification label is designed to convert observed rainfall into the probability of rainfall above each threshold. The proposed model was trained and validated on NWP data provided by European Center for Medium‐Range Weather Forecast, and results show significant improvement over the NWP in terms of threat score (TS) and Heidke Skill Score (HSS) scores. Analysis of the forecast results for two typical rainfall processes also illustrates that the proposed method can predict rainfall with more reasonable location and intensity.
Toward Optimal Rainfall for Flood Prediction in Headwater Basins—Orographic QPE Error Modeling Using Machine Learning
Authors: Liao Mochi , Barros Ana P. 
Published: November 2023

AbstractQuantitative Precipitation Estimates (QPE) from merged rain gauge and radar measurements have become widely available in the last two decades. The errors associated with these products are yet to be fully understood, especially in complex terrain where ground clutter and overshooting artifacts are significant and vary in space and time depending on the storm and underlying synoptic conditions. The location and timing of precipitation in addition to rainfall intensity and duration are critical to the simulation of flood response in headwater basins. This work proposes a generalizable Physics‐guided Artificial Intelligence (PAI) framework for QPE error modeling. First, QPE error climatology derived from the hydrologic Inverse Rainfall Correction (Liao & Barros, 2022, https://doi.org/10.1016/j.rse.2022.113107) to historical floods in selected headwater basins is analyzed to identify dominant precipitation regimes. Second, for each precipitation regime, a Multilayer Perceptron error prediction model is trained using event‐specific precipitation metrics at hourly scale as input, and subsequently used to predict estimation errors for various QPE products. The corrected QPE can then be used for hydrologic simulations and flood nowcasting. The PAI framework is demonstrated in the Southern Appalachian Mountains using the 57 largest floods over 2008–2017. The Probability Distribution Function of predicted precipitation errors follows a Gaussian‐like distribution but varies significantly between cold and warm season events, while the spatial distribution is inextricably connected to basin geomorphology. On average, large improvements on hourly Kling‐Gupta Efficiency from −0.5 to 0.4 are achieved, and the peak flood error is reduced by 70%, with distinctively better results for cold season events.
Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek‐Marsh Systems
Authors: Yin Maosheng , Xiao Kai , Xin Pei , Li Hailong , Zheng Chunmiao , Smith Erik , Wilson Alicia M. 
Published: November 2023

AbstractMacropores created by crab burrowing are commonly found in vegetated coastal wetlands. However, their impact on surface water‐groundwater interactions and salt transport is insufficiently understood. In this study, we used numerical models to quantify the impact of crab burrows with random spatial distribution, morphology, and openings on groundwater flow and salt transport in creek‐marsh systems. Results showed that these burrows can lead to a more complex network of preferential flow paths and burrow flushing capabilities than those with a single pipeline. The velocity magnitude varied over seven orders in the burrowed mud layer. Local increases in the hydraulic gradient occurred in the burrows, leading to faster water circulation and salt transport as well as turnover of soil aeration. The salinity front in the burrowed marsh reached two‐m deeper than in the unburrowed marsh. Burrow flushing depth and intensity is significantly enhanced in burrows with multiple openings. This study emphasized the complexity of tortuous burrows regulating groundwater flow and solute transport through modeling realistic crab burrows. This work supports fiddler crabs as ubiquitous “ecoengineers” who can produce more significant impact on local hydrological cycle and ecosystem‐scale geochemical processes than previously indicated.
A skin-integrated device for neck posture monitoring and correction
Authors: Luo Hu , Jin Tianhao , Zhang Yu , Tian Bohao , Zhang Yuru , Wang Dangxiao 
Published: November 2023

AbstractCervical spondylosis is a common disease that is often caused by long-term abnormal cervical curvature due to activities such as reading books and using computers or smartphones. This paper explores building an untethered and skin-integrated device in an e-skin form factor to monitor and haptically correct neck posture. The proposed design features a multilayered structure that integrates all flexible electronic circuits and components into a compact skin space while being untethered and skin conformal. An accelerometer in the e-skin attaches to the neck for posture sensing, while four vibration actuators closely touch the neck skin to provide localized vibrotactile stimuli that encode four-direction correction cues of neck flexion$$\pm \alpha$$±αand lateral bending$$\pm \beta$$±β. To ensure the reliability of posture sensing and vibrotactile rendering during neck movement, it is necessary to prevent the e-skin device from shifting position. Thus, a hollow structure-based method is implemented for stably attaching the e-skin to the neck skin. Experiments validated the e-skin device’s sensing precision, skin-conformal compliance, stickiness, stability and effectiveness during the motion of neck postures, including its discrimination of localized four-direction vibrotactile cues. A user study verified the device’s performance for sensing and correcting different abnormal neck postures during activities such as using smartphones, reading books, and processing computer files. The proposed e-skin device may create opportunities for more convenient cervical spondylosis prevention and rehabilitation.
METTL9-SLC7A11 axis promotes hepatocellular carcinoma progression through ferroptosis inhibition
Authors: Bi Fangfang , Qiu Yuxiong , Wu Zongfeng , Liu Shaoru , Zuo Dinglan , Huang Zhenkun , Li Binkui , Yuan Yunfei , Niu Yi , Qiu Jiliang 
Published: November 2023

AbstractMethytransferase-like proteins 9 (METTL9) has been characterized as an oncogene in several cancers, however, its role in hepatocellular carcinoma (HCC) remains unknown. Here, we investigated the function and molecular mechanism of METTL9 in HCC. We showed that METTL9 expression was elevated in HCC, and its high expression was associated with poor survival outcomes. Knockdown of METTL9 observed a significant inhibition of HCC cell viability, migration, and invasion both in vitro and in vivo. By contrast, METTL9 overexpression HCC cells obtained stronger abilities in cell proliferation and migration. Mechanistically, we discovered that METTL9 knockdown led to a reduction in the expression level of SLC7A11, a key suppressor of ferroptosis, in turn, promoted ferroptosis in HCC cells, impeding the progression of HCC. Moreover, we have proved that targeting METTL9 could significantly restrain the growth of HCC patient-derived xenograft (PDX). Our study established METTL9 as a critical role in promoting HCC development and provides a foundation for further investigation and potential therapeutic interventions targeting ferroptosis in HCC.