bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mercados y tianguis como oasis alimentarios frente al comercio corporativo y sus repercusiones en la salud
Authors: López Mayra Karina Solis , López María de Lourdes Flores , Neri-Suárez Martín 
Published: January 2025

Abstract
The article analyzes the influence of Mexican markets, flea markets, and supermarkets on obesity rates and marginalization index by state. We calculate the Moran's index for the variables of access to food and those associated with well-being. We found that states with similar obesity rates are grouped together geographically, as well as a positive relationship between the number of supermarkets and obesity rates by state. Areas with higher degrees of marginalization tend to have a lower density of street markets and a higher density of fixed markets. We also found a negative autocorrelation between the degree of marginalization and the density of supermarkets. The presence of these sites that influence the availability of food responds to structural and cultural conditions and intervenes in the health of the population.
El artículo analiza la influencia de los mercados, tianguis y supermercados mexicanos en las tasas de obesidad e índice de marginación por entidad federativa. Calculamos los Índices de Moran para las variables de acceso a los alimentos y las asociadas al bienestar. Encontramos que los estados con tasas de obesidad similares se agrupan geográficamente, así como una relación positiva entre el número de supermercados y las tasas de obesidad por entidad federativa. Las áreas con mayores grados de marginación tienden a tener menor densidad de tianguis y mayor densidad de mercados fijos, también encontramos autocorrelación negativa entre el grado de marginación y la densidad de supermercados. La presencia de estos sitios que influye en la disponibilidad de alimentos responde a condiciones estructurales y culturales e interviene en la salud de la población.
Cet article analyse l'influence des marchés, tianguis et supermarchés mexicains sur les taux d'obésité et l'indice de marginalisation des états fédérés. Nous calculons les indices de Morán pour obtenir les variables d'accès à la nourriture et de bien-être. Nous constatons que les états fédérés présentant des taux d'obésité similaires se regroupent géographiquement, et qu'il existe une relation positive entre le nombre de supermarchés et les taux d'obésité par état. Les zones plus marginalisées ont tendance à avoir une plus faible densité de tianguis et une plus forte densité de marchés fixes. Nous avons également constaté une autocorrélation négative entre le degré de marginalisation et la densité des supermarchés. La présence de ces sites qui influencent la disponibilité des aliments répond aux conditions structurelles et culturelles et a des effets sur la santé de la population.
The roles of teachers’ beliefs and instructional practices in students’ mathematical mindset
Authors: Piyakun Araya , Phusee-Orn Songsak 
Published: January 2025

IntroductionMathematics education development is an urgent topic, with an emphasis on increasing students’ motivation to learn mathematics.MethodsThis study aimed to investigate the impacts of teachers’ mathematical mindset, task values, and instructional practices on students’ mathematical mindset, using students’ perceived instructional practices as a mediator. The participants consisted of 96 teachers and 936 secondary school students. The research instruments included a mathematical mindset scale for teachers and students, a task value scale for teachers, an instructional practice scale for teachers, and a perceived instructional practice scale for students. The statistics for analyzing data included mean, standard deviation, and Structural Equation Modeling (SEM).ResultsThe finding revealed that, from most to least, the variables that mutually influenced students’ mathematical growth mindset were students’ perceived instructional practices, teachers’ instructional practices, teachers’ values, and teachers’ mathematical growth mindset.DiscussionThe study’s findings can serve as a framework for developing teachers, who are essential to mathematics education and enhancing secondary school students’ motivation for mathematical learning.
Correlation between liver fibrosis in non-alcoholic fatty liver disease and insulin resistance indicators: a cross-sectional study from NHANES 2017–2020
Authors: Yang Bo , Gong Mingsu , Zhu Xiaojie , Luo Yang , Li Ruiqiu , Meng Hai , Wang Yuhan 
Published: January 2025

IntroductionNon-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease worldwide, with liver fibrosis (LF) being a crucial pathological feature in the progression of NAFLD. Insulin resistance (IR) is believed to play an important role in the pathogenesis of NAFLD and the development of LF. This study aims to explore the relationship between various IR indicators and LF in patients with NAFLD.MethodsThis study utilized data from the National Health and Nutrition Examination Survey 2017-2020 cycles. Liver steatosis and fibrosis were assessed using liver ultrasound transient elastography. To assess the association between multiple IR indicators and LF, the study methodology included univariate and multivariate logistic regression, as well as restricted cubic spline (RCS) analysis. Subsequently, we used multivariate logistic regression to develop and validate a predictive model for LF, and evaluated the model’s performance using the area under the curve (AUC) and calibration curve.ResultsA total of 904 patients were included in the final analysis. Among these NAFLD patients, 153 (16.92%) had LF. Compared to non-LF patients, LF patients had significantly higher body mass index (BMI), waist circumference (WC), alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT), HbA1c, and fasting blood glucose (FBG) levels (all p &lt; 0.05). Analysis of IR indicators showed that LF patients had significantly higher levels of TyG, TyG-WHtR, TyG-BMI, TyG-WC, TyG-GGT, METS-IR, and HOMA-IR (all p &lt; 0.05). After adjusting for covariates, TyG-WHtR remained an independent risk factor (OR=2.69; 95% CI: 2.08-3.47), indicating a strong correlation with LF. The developed nomogram, incorporating AST, TyG, TyG-BMI, and diabetes, showed an AUC of 0.809 (95% CI: 0.771-0.847), indicating good predictive performance for LF in NAFLD patients.ConclusionsThis study confirms that a significant association between various IR and LF in NAFLD patients, and the developed nomogram provides a practical tool for early risk assessment. These findings underscore the clinical value of incorporating IR indices into routine practice to identify high-risk patients, enabling timely interventions to prevent fibrosis progression and improve outcomes.
Adjuvant-free, self−assembling ferritin nanoparticle vaccine coupled with influenza virus hemagglutinin protein carrying M1 and PADRE epitopes elicits cross-protective immune responses
Authors: Zhao Yongqiang , Guo Shuangshuang , Liu Jia , Wang Yating , Wang Bo , Peng Chun , Du Enqi 
Published: January 2025

IntroductionInfluenza viruses pose a significant threat to global public health. Several influenza pandemic outbreaks have had serious economic and public health implications. Current influenza virus vaccines generally provide strain-specific protection and must be rapidly produced annually to match the circulating viruses. Developing influenza vaccines that confer protection against a broad range of viruses will have a positive impact on public health. In this study, we aimed to develop a ferritin-based influenza nanoparticle vaccine with a broad protective spectrum to enhance the immune response against diverse influenza viruses.ResultsWe generated an adjuvant-free, self-assembling nanoparticle vaccine against diverse influenza A viruses. This nanoparticle vaccine displayed multi-antigen targets on the surface of Helicobacter pylori ferritin, which consists of the ectodomain of hemagglutinin of the H3N2 virus and three tandem highly conserved influenza M1 epitopes fused with the universal helper T-cell epitope PADRE, named HMP-NP. HMP-NPs were expressed in a soluble form in the baculovirus-insect cell system and self-assembled into homogeneous nanoparticles. Animal immunization studies showed that the HMP-NP nanovaccine elicited 4-fold higher haemagglutination inhibition (HAI) titers than inactivated influenza vaccine. And neutralization titers induced by HMP-NPs against the H3N2 virus and heterologous strains of the H1N1 and H9N2 viruses were ~8, 12.4 and 16 times higher than inactivated influenza vaccine, respectively. Meanwhile, we also observed that the number of IFN-γ- and IL-4-secreting cells induced by HMP-NPs were ~2.5 times higher than inactivated influenza vaccine. Importantly, intranasal immunization with HMP-NPs, without any adjuvant, induced efficient mucosal IgA responses and conferred complete protection against the H3N2 virus, as well as partial protection against the H1N1 and H9N2 viruses and significantly reduced lung viral loads.DiscussionOverall, our results indicated that the self-assembled nanovaccines increased the potency and breadth of the immune response against various influenza viruses and are a promising delivery platform for developing vaccines with broader protection against emerging influenza viruses and other pathogens.
SIRI and SII as potential biomarkers of disease activity and lupus nephritis in systemic lupus erythematosus
Authors: Yang Chi-Hui , Wang Xin-Yi , Zhang Yi-Hui , Ding Ning 
Published: January 2025

ObjectivesInflammation is important in the development of systemic lupus erythematosus (SLE). Systemic inflammation response index (SIRI) and systemic immune-inflammation index (SII) are novel clinical markers of inflammation with prognostic value in different diseases. However, the value of SIRI and SII as inflammation predictors in SLE remains unclear. This study explores the SIRI and SII as potential biomarkers for SLE.MethodsData from 280 individuals, including newly diagnosed SLE patients and healthy controls, were collected and divided into three groups: SLE without lupus nephritis (NLN) group (n=93), lupus nephritis (LN) group (n=96) and healthy control group (n=91). Differences in SIRI and SII among the three groups were compared. Logistic regression and Pearson linear analysis were used to analyze the predictive value and correlation of SIRI and SII with SLE and systemic lupus erythematosus disease activity index 2000 (SLEDAI-2K). Receiver operating characteristic (ROC) curves evaluated SIRI and SII in predicting SLE, SLE disease activity, and LN.ResultsThe SIRI and SII values were significantly higher in the LN group compared to the NLN group (p&lt;0.01). SII had the largest area under the ROC curve for predicting LN (AUC: 0.6775, 95%CI: 0.6020 - 0.7531). Logistic regression analysis showed SIRI and SII as independent risk factors for LN. Pearson linear analysis indicated SIRI and SII were positively correlated with SLEDAI-2K (rSIRI=0.25, rSII=0.24, p&lt;0.05).ConclusionsSIRI and SII are biomarkers of disease activity and renal involvement in SLE patients that can be used to evaluate and predict for SLE occurrence, disease activity, and lupus nephritis occurrence assessment.
Development and validation of a prediction model for acute kidney injury following cardiac valve surgery
Authors: Jia Xiaotong , Ma Jun , Qi Zeyou , Zhang Dongni , Gao Junwei 
Published: January 2025

BackgroundAcute kidney injury (AKI) often accompanies cardiac valve surgery, and worsens patient outcome. The aim of our study is to identify preoperative and intraoperative independent risk factors for AKI in patients undergoing cardiac valve surgery. Using these factors, we developed a risk prediction model for AKI after cardiac valve surgery and conducted external validation.MethodsOur retrospective study recruited 497 adult patients undergoing cardiac valve surgery as a derivation cohort between February and August 2023. Patient demographics, including medical history and perioperative clinical information, were acquired, and patients were classified into one of two cohorts, AKI and non-AKI, according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Using binary logistic stepwise regression analysis, we identified independent AKI risk factors after cardiac valve surgery. Lastly, we constructed a nomogram and conducted external validation in a validation cohort comprising 200 patients. The performance of the nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC), calibration curves and decision curve analysis (DCA).ResultsIn the derivation cohort, 172 developed AKI (34.6%). Relative to non-AKI patients, the AKI patients exhibited elevated postoperative complication incidences and worse outcome. Based on multivariate analysis, advanced age (OR: 1.855; p = 0.011), preoperative hypertension (OR: 1.91; p = 0.017), coronary heart disease (OR: 6.773; p &lt; 0.001), preoperative albumin (OR: 0.924; p = 0.015), D-Dimer (OR: 1.001; p = 0.038), plasma creatinine (OR: 1.025; p = 0.001), cardiopulmonary bypass (CPB) duration (OR: 1.011; p = 0.001), repeat CPB (OR: 6.195; p = 0.010), intraoperative red blood cell transfusion (OR: 2.560; p &lt; 0.001), urine volume (OR: 0.406 p &lt; 0.001) and vasoactive–inotropic score (OR: 1.135; p = 0.009) were independent risk factors for AKI. The AUC of the nomogram in the derivation and validation cohorts were 0.814 (95%CI: 0.775–0.854) and 0.798 (95%CI: 0.726–0.871), respectively. Furthermore, the calibration curve revealed that the predicted outcome was in agreement with the actual observations. Finally, the DCA curves showed that the nomogram had a good clinical applicability value.ConclusionSeveral perioperative factors modulate AKI development following cardiac valve surgery, resulting in poor patient prognosis. The proposed AKI predictive model is both sensitive and precise, and can assist in high-risk patient screening in the clinics.
Individualized diagnosis of Parkinson’s disease based on multivariate magnetic resonance imaging radiomics and clinical indexes
Authors: Ye Qianqian , Lin Chenhui , Xiao Fangyi , Jiang Tao , Hou Jialong , Zheng Yi , Xu Jiaxue , Huang Jiani , Chen Keke , Cai Jinlai , Qian Jingjing , Quan Weiwei , Chen Yanyan 
Published: January 2025

ObjectiveTo explore MRI-based radiomics models, integrating clinical characteristics, for differential diagnosis of Parkinson’s disease (PD) to evaluate their diagnostic performance.MethodsA total of 256 participants [153 PD, 103 healthy controls (HCs)] from the First Affiliated Hospital of Wenzhou Medical Hospital, were enrolled as the training set, and 120 subjects (74 PD, 46 HCs) from the PPMI dataset served as the test set. Radiomics features were extracted from structural MRI (T1WI and T2-FLair). Support Vector Machine (SVM) classifiers were developed using MRI radiomics data from both monomodal and multimodal radiomics models. The clinical-radiomics model was constructed by integrating clinical variables, including UPDRS, Hoehn-Yahr stage, age, sex, and MMSE scores. Receiver operating characteristic (ROC) curves were generated to evaluate the performance of the models. Decision curve analysis (DCA) was performed to access the clinical usefulness of the models.ResultsIn the training set, the T2-FLair and T1WI radiomics model achieved an AUC of 0.896 (95% CI, 0.812–0.900) and 0.899 (95% CI, 0.818–0.908), respectively. The double-sequence radiomics model demonstrated superior diagnostic performance, with an AUC of 0.965 (95% CI, 0.885–0.978) in the training set and an AUC of 0.852 (95% CI, 0.748–0.910) in the test set. The integrated clinical-radiomics model showed enhanced diagnostic accuracy, with AUC = 0.983 (95% CI, 0.897–0.996) in the training set and AUC = 0.837 (95% CI, 0.786–0.902) in the test set. Rad-scores derived from the radiomics model were significantly correlated with diagnostic outcomes (P &lt; 0.001). DCA confirmed the substantial clinical usefulness of the clinical-radiomics integrated model.ConclusionThe integrated clinical-radiomics model offered superior diagnostic performance compared to models based relying solely on imaging or clinical data, underscoring its potential as a non-invasive and effective tool in routine clinical practice for the early diagnosis of PD.
Adeno-associated virus mediated artificial circular RNA for triggering cancer immunotherapy to treat prostate cancer
Authors: Ye Chujin , Liu Zhiye , Xie Qifan , Tang Yanlin , Zeng Jiayi , Feng Ziwei , Liu Jiumin , Xie Haibiao 
Published: January 2025

IntroductionSpecifically regulating endogenous molecules is a potential molecular therapeutic strategy. Naturally occurring circular RNAs (circRNAs) are structurally stable and have been proved to serve as highly efficient miR-sponges and protein-sponges in cancer cells.MethodsWe chemically synthesized circRNA (ScircRNA) in vitro to achieve therapeutic dysfunction by targeting specific miRNAs. RNase R and fetal bovine serum were used to evaluate the stability of ScircRNAs. In prostate cancer cell lines, the competitive inhibition of the ScircRNA on miR-375 and miR-21 activity was evaluated using luciferase report gene, cell proliferation, and apoptosis assays.ResultsWe found that ScircRNAs were more resistant to nuclease digestion and more effective inhibiting target miRNAs than linear RNA sponges. The ScircRNAs inhibited malignant phenotype of prostate cancer by specifically inhibiting the activity of miR-21 and miR-375. In addition, we used the ScircRNA inhibiting CDK5 expression to trigger T-cell mediated cancer immunotherapy for treating prostate cancer in vivo.DiscussionThe ScircRNAs possessed the advantages of stable structure and simple construction, and can specifically inhibit the function of target miRNAs, which has a potential therapeutic application prospect in prostate cancer.
The growth diversity of preterm infants at 0–36 months corrected age in China: a real-world observational study
Authors: Wang Xia , Feng Shuwen , Yang Pu , Wang Yuxin , Wei Cong , Zheng Junwen , Liu Pin , Liao Lihong , Yang Xiao , Xu Peibin , Bian Junmei , Luo Xiaoping , Zhang Yuanzhen , Zhao Dongchi 
Published: January 2025

BackgroundPremature delivery interrupts the natural growth of the fetus. The postnatal healthy management of preterm infants still follows term standards after a postmenstrual age (PMA) of 40 weeks and there is a lack of research on the longitudinal dynamic postnatal growth tracks of preterm infants.MethodsBased on the database established by the Wuhan University Internet+ Early Childhood Development Alliance in China, information on preterm infants, including birth registration and health follow-ups from 2016 to 2022, was incorporated into the health management system. Standardized anthropometric measurements of preterm infants were recorded from birth to a corrected age (CA) of 36 months. A generalized additive model based on location, scale, and shape was used to establish the percentile values and growth curves.ResultsIn total, 79,514 preterm infants were included in this study, and the birth weights at each gestational age (GA) were similar to Chinese standards. When evaluated by term birth weight, we found that the proportions of extrauterine growth retardation at a PMA of 40 weeks were all above 10% in the GA ≤34-week groups and reached between 17.19% and 55.56% in very preterm infants (VPIs). There was a high incidence of preterm infants with a weight below the third percentile in VPIs when referring to term standards at CAs of 0, 6, 12, 24, and 36 months (p &lt; 0.001). We established natural growth curves of the preterm population with different GAs between CAs of 0 and 36 months, which indicated that the weight/length of late preterm infants was close to term standards while the growth trajectory of VPIs consistently lagged behind (p &lt; 0.001).ConclusionOur study revealed the different growth trajectories of preterm infants with different GAs. A set of growth curves and percentile values for preterm infants of different GAs between CAs of 0 and 36 months were established, offering an optional method for growth assessment of this special population.
Effects of nest locations on foraging behavior and physiological responses in seabird colony
Authors: Mizutani Yuichi , Goto Yusuke , Shoji Akiko , Yoda Ken 
Published: January 2025

Breeding success and survival in colonial seabirds are influenced by nest location, physical surroundings, and external disturbances. Nest location may also directly or indirectly affect individual foraging behavior and physiological conditions, shaping reproductive success and survival. Despite these influences, few studies have integrated the analysis of nest location, behavior, and physiological status. In this study, we analyzed 20 black-tailed gulls (Larus crassirostris) nesting in the center of a colony within a protected area (Central Group, CG) and five gulls on the periphery outside the protected area, where human disturbance is frequent (Peripheral Group, PG). Using GPS movement trajectories and physiological indicators, we found that although clutch sizes were similar between the CG and PG, the PG exhibited shorter foraging trip durations, maximum distances from the nest, and a lower daily frequency of foraging trips. Antioxidant capacity did not differ between the groups; however, oxidation levels were lower in the PG. These behavioral and physiological differences associated with nest location may partly result from the incubation period influenced by human activity. The PG individuals remained in the peripheral group for at least 2 years (some for over 15 years), with all reproductive attempts failing, suggesting consistently low reproductive success. However, reduced foraging activity and lower oxidative stress levels reflect an energy-saving strategy that may mitigate the costs of repeated breeding failures. These findings suggest a potential life-history trade-off, in which individuals prioritize survival over reproductive success. This highlights how external disturbances and nest location can shape energy allocation strategies within a colony’s peripheral-central distribution.
Future anxiety, depression and stress among undergraduate students: psychological flexibility and emotion regulation as mediators
Authors: Öztekin Gülçin Güler , Gómez-Salgado Juan , Yıldırım Murat 
Published: January 2025

IntroductionMental health and wellbeing are fundamental and integral components of healthy functioning, and psychological resources significantly contribute to its maintenance and enhancement. This study aimed to investigate the mediating effects of psychological flexibility and emotion regulation in the association between future anxiety, depression, and stress.MethodsA total of 528 undergraduate students participated in this study (M = 20.14, SD = 1.76).ResultsThe findings of the study showed that future anxiety was negatively associated with psychological flexibility and cognitive reappraisal, and positively associated with expressive suppression, depression and stress. Psychological flexibility and cognitive reappraisal had negative relationships with depression and stress, and expressive suppression had a positive relationship with depression and stress. The associations between future anxiety, depression and stress were mediated by psychological flexibility, cognitive reappraisal and expressive suppression.DiscussionThis study deepened our understanding of the possible mechanisms of depression and stress. For individuals suffering from future anxiety, psychological flexibility and emotion regulation may be a coping strategy that leads individuals to less depression and stress. This study suggests that psychological flexibility and emotion regulation skills are fundamental aspects of psychological health.