bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combination of Vitex pseudo-negundo methanolic-extract with cisplatin can induce antioxidant activity and apoptosis in HeLa and Caski cells
Authors: Shiri Aghbash Parisa , Sadri Nahand Javid , Rahbar Farzam Omid , Hosseini Seyed Mohammad Reza , Bayat Mobina , Entezari Maleki Taher , Bannazadeh Baghi Hossein 
Published: December 2024

BackgroundCisplatin-based chemotherapy as a common therapeutic regimen for cervical cancer patients, is becoming more and more ineffective due to high resistance. This urges the need for introducing novel metabolics such as botanical drugs with the capacity to increase the cisplatin effectiveness. In that regard, here we investigated the anticancer effects of the Cisplatin-Vitex pseudo-Negundo combination in cervical cancer cell lines.Method and MaterialV. pseudo-Negundo fruits were dried and extracted methanolic fraction. The MTT assay was performed to evaluate cytotoxicity of both drugs in CaSki and HeLa cells. Then, apoptosis, ROS production, and cell cycling were assessed by flow cytometry assay in cells treated with V. pseudo-Negundo and Cisplatin and their combination. Also, the rate of cell migration and colony formation were measured, using wound healing and colony formation assay, respectively. Also, the expression level of related genes (CD133, BAX, BCL2, Casp-3/8/9, MMP-3) was evaluated using the RT-PCR method.ResultsThe obtained results established that the V. pseudo-Negundo plant has medicinal properties to induce apoptotic and antioxidant signals. The combination treatment of methanol extraction and Cisplatin had a cytotoxic effect on cervical cancer cell lines (HeLa and CaSki) compared to monotherapy. Also, combination therapy resulted in an increased apoptosis rate and diminished ROS production in both CaSki and HeLa cell lines. Furthermore, V. pseudo-Negundo and Cisplatin combination therapy leads to cell cycle arrest in the G2-M and G0-G1 phase in HeLa and CaSki cell lines, respectively. Moreover, combination therapy decreased the colony formation and cell motility in both cell lines and upregulated caspases gene expression.ConclusionThe combination of V. pseudo-Negundo with Cisplatin therapy results in a significant anti-cancer and antioxidant effect compared to cisplatin, representing a promising candidate for future clinical investigations.
AH-6809 mediated regulation of lung adenocarcinoma metastasis through NLRP7 and prognostic analysis of key metastasis-related genes
Authors: Feng Xu , Wu Wei , Liu Feifei 
Published: December 2024

IntroductionLung adenocarcinoma (LUAD) has become one of the leading causes of cancer-related deaths globally, with metastasis representing the most lethal stage of the disease. Despite significant advances in diagnostic and therapeutic strategies for LUAD, the mechanisms enabling cancer cells to breach the blood-brain barrier remain poorly understood. While genomic profiling has shed light on the nature of primary tumors, the genetic drivers and clinical relevance of LUAD metastasis are still largely unexplored.ObjectivesThis study aims to investigate the genomic differences between brain-metastatic and non-brain-metastatic LUAD, identify potential prognostic biomarkers, and evaluate the efficacy of AH-6809 in modulating key molecular pathways involved in LUAD metastasis, with a focus on post-translational modifications (PTMs).MethodsGenomic analyses were performed using data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) between brain-metastatic and non-metastatic LUAD samples were identified. Key gene modules were determined using Weighted Gene Co-expression Network Analysis (WGCNA), and their prognostic significance was assessed through Kaplan-Meier analysis. Cellular experiments, including CCK8 and qRT-PCR assays, were conducted to evaluate the anti-cancer effects of AH-6809 in LUAD cells. Apoptosis and inflammatory marker expression were assessed using immunofluorescence.ResultsGenomic analysis differentiated brain-metastatic from non-brain-metastatic LUAD and identified NLRP7, FIBCD1, and ELF5 as prognostic markers. AH-6809 significantly suppressed LUAD cell proliferation, promoted apoptosis, and modulated epithelial-mesenchymal transition (EMT) markers. These effects were reversed upon NLRP7 knockdown, highlighting its role in metastasis. Literature analysis further supported AH-6809’s tumor-suppressive activity, particularly in NLRP7 knockdown cells, where it inhibited cell growth and facilitated apoptosis. AH-6809 was also found to affect SUMO1-mediated PTMs and downregulate EMT markers, including VIM and CDH2. NLRP7 knockdown partially reversed these effects. Immunofluorescence revealed enhanced apoptosis and inflammation in lung cancer cells, especially in NLRP7 knockdown cells treated with AH-6809. The regulatory mechanisms involve SUMO1-mediated post-translational modifications and NQO1. Further studies are required to elucidate the molecular mechanisms and assess the clinical potential of these findings.ConclusionThese findings demonstrate the critical role of NLRP7 and associated genes in LUAD metastasis and suggest that AH-6809 holds promise as a potential therapeutic agent for brain-metastatic LUAD.
Predicting postoperative pulmonary infection risk in patients with diabetes using machine learning
Authors: Zhao Chunxiu , Xiang Bingbing , Zhang Jie , Yang Pingliang , Liu Qiaoli , Wang Shun 
Published: December 2024

BackgroundPatients with diabetes face an increased risk of postoperative pulmonary infection (PPI). However, precise predictive models specific to this patient group are lacking.ObjectiveTo develop and validate a machine learning model for predicting PPI risk in patients with diabetes.MethodsThis retrospective study enrolled 1,269 patients with diabetes who underwent elective non-cardiac, non-neurological surgeries at our institution from January 2020 to December 2023. Predictive models were constructed using nine different machine learning algorithms. Feature selection was conducted using Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression. Model performance was assessed via the Area Under the Curve (AUC), precision, accuracy, specificity and F1-score.ResultsThe Ada Boost classifier (ADA) model exhibited the best performance with an AUC of 0.901, Accuracy of 0.91, Precision of 0.82, specificity of 0.98, PPV of 0.82, and NPV of 0.82. LASSO feature selection identified six optimal predictive factors: postoperative transfer to the ICU, Age, American Society of Anesthesiologists (ASA) physical status score, chronic obstructive pulmonary disease (COPD) status, surgical department, and duration of surgery.ConclusionOur study developed a robust predictive model using six clinical features, offering a valuable tool for clinical decision-making and personalized prevention strategies for PPI in patients with diabetes.
Integrated analysis of BSA-seq and RNA-seq identified the candidate genes for seed weight in Brassica juncea
Authors: Yang Bin , Yang Liu , Kang Lei , You Liang , Chen Hao , Xiao Huagui , Qian Lunwen , Rao Yong , Liu Zhongsong 
Published: December 2024

IntroductionBrassica juncea is a major oilseed crop of Brassica. The seed weight is one of yield components in oilseed Brassica crops. Research on the genetic mechanism of seed weight is not only directly related to the yield and economic value of Brassica juncea but also can provide a theory foundation for studying other Brassica crops.MethodsTo map the genes for seed weight, the parental and F2 extreme bulks derived were constructed from the cross between the heavy-seeded accession 7981 and the light-seeded one Sichuan yellow (SY) of B. juncea, and used in bulk segregant sequencing (BSA-seq). Meanwhile, RNA-sequencing (RNA-seq) was performed for both parents at six seed development stages.ResultsOur results showed that a total of thirty five SNPs were identified in thirty two genes located on chromosomes A02 and A10, while fifty eight InDels in fifty one genes located on A01, A03, A05, A07, A09, A10, B01, B02 and B04. The 7,679 differentially expressed genes were identified in developing seeds between the parents. Furthermore, integrated analysis of BSA-seq and RNA-seq data revealed a cluster of nine genes on chromosome A10 and one gene on chromosome A05 that are putative candidate genes controlling seed weight in B. juncea.DiscussionThis study provides a new reference for research on Brassica seed weight and lays a solid foundation for the examination of seed in other Brassica crops.
DINOV2-FCS: a model for fruit leaf disease classification and severity prediction
Authors: Bai Chunhui , Zhang Lilian , Gao Lutao , Peng Lin , Li Peishan , Yang Linnan 
Published: December 2024

IntroductionThe assessment of the severity of fruit disease is crucial for the optimization of fruit production. By quantifying the percentage of leaf disease, an effective approach to determining the severity of the disease is available. However, the current prediction of disease degree by machine learning methods still faces challenges, including suboptimal accuracy and limited generalizability.MethodsIn light of the growing application of large model technology across a range of fields, this study draws upon the DINOV2 visual large vision model backbone network to construct the DINOV2-Fruit Leaf Classification and Segmentation Model (DINOV2-FCS), a model designed for the classification and severity prediction of diverse fruit leaf diseases. DINOV2-FCS employs the DINOv2-B (distilled) backbone feature extraction network to enhance the extraction of features from fruit disease leaf images. In fruit leaf disease classification, for the problem that leaf spots of different diseases have great similarity, we have proposed Class-Patch Feature Fusion Module (C-PFFM), which integrates the local detailed feature information of the spots and the global feature information of the class markers. For the problem that the model ignores the fine spots in the segmentation process, we propose Explicit Feature Fusion Architecture (EFFA) and Alterable Kernel Atrous Spatial Pyramid Pooling (AKASPP), which improve the segmentation effect of the model.ResultsTo verify the accuracy and generalizability of the model, two sets of experiments were conducted. First, the labeled leaf disease dataset of five fruits was randomly divided. The trained model exhibited an accuracy of 99.67% in disease classification, an mIoU of 90.29%, and an accuracy of 95.68% in disease severity classification. In the generalizability experiment, four disease data sets were used for training and one for testing. The mIoU of the trained model reached 83.95%, and the accuracy of disease severity grading was 95.24%.DiscussionThe results demonstrate that the model exhibits superior performance compared to other state-of-the-art models and that the model has strong generalization capabilities. This study provides a new method for leaf disease classification and leaf disease severity prediction for a variety of fruits. Code is available at https://github.com/BaiChunhui2001/DINOV2-FCS.
Cutting carbon and nitrogen footprints of maize production by optimizing nitrogen management under different irrigation methods
Authors: Di Yunfei , Gao Yu , Yang Haibo , Yan Dong , Tang Yuzhe , Zhang Weijian , Hu Yuncai , Li Fei 
Published: December 2024

IntroductionAnalyzing the effects of nitrogen (N) fertilizer application and water management on the carbon (C) and N footprints is vital to maize production systems.MethodsThis study conducted field experiments from 2019-2020 involving flood- and drip-irrigated maize production systems in Northwest China to analyze N and C footprints (NF and CF, respectively) based on the life cycle assessment (LCA). The N fertilizer treatments studied included no N fertilizer application (Control), optimized N management (OM), optimized N management incorporated with urease inhibitor (OMI, UI), and farmer practice (FP).Results and discussionThe maize grain yields under flood irrigation afforded by OMI (12.3 t ha-1) and FP treatments (13.4 t ha-1) were significantly higher than that of OM treatment (11.0 t ha-1). But maize grain yields of the OM (12.1 t ha-1), OMI (12.5 t ha-1), and FP treatments (12.5 t ha-1) showed no significant difference under drip irrigation although less N was applied to OM and OMI. The OMI treatment had better environmental effects than the OM treatment under both flood and drip irrigation. Applying N fertilizer with UI increased N use efficiency (NUE) and reduced N losses under flood irrigation. The reactive N (Nr) losses, greenhouse gas (GHG) emissions, NF, and CF of OMI treatment were 43.9%, 45.3%, 35.7%, and 37.4% lower under flood irrigation (77.6 kg N ha-1, 4499.9 kg CO2 eq ha-1, 6.7 kg N t-1, and 387.7 CO2 eq N t-1) and 43.3%, 37.1%, 43.2%, and 37.1% lower under drip irrigation (57.8 kg N ha-1, 4144.3 kg CO2 eq ha-1, 4.7 kg N t-1, and 332.7 CO2 eq N t-1) compared to the FP treatment. The Nr losses, GHG emissions, NF, and CF of drip irrigation were lower than those of flood irrigation. According to the analysis of driven indicators, the N leaching, electricity for irrigation, and NH3 volatilization were the most important contributors to the NF; the fertilizer, electricity for irrigation, and N2O emissions were the dominant factors controlling the CF. The environmental impact of the OMI treatment was less than that of the OM and FP treatments. Therefore, integrating better N management practices and efficient irrigation methods can significantly reduce environmental impacts while maintaining yields in maize cultivation.
Simulation of Pseudostellaria heterophylla distribution in China: assessing habitat suitability and bioactive component abundance under future climate change scenariosplant components
Authors: Li Xu , Wu Taosheng , Kang Chuangzhi , Zhang Xiaobo , Zhang Jinqiang , Yang Changgui , Yuan Qingsong , Zhou Tao , Xiao Chenghong 
Published: December 2024

BackgroundPseudostellaria heterophylla is used in traditional Chinese medicine, so ensuring an adequate supply of plant material with high levels of bioactive components is important.MethodsUsing an optimized maximum entropy niche model and assays of bioactive components from cultivation samples, this study started from the plant’s natural distribution area and estimated correlations of ecological factors with not only abundance of the plant but also abundance of polysaccharides and heterophyllin B. These correlations were combined with the spatial analysis function in ArcGIS to generate maps of the suitability of different habitats in China for cultivating P. heterophylla under current climate conditions and different models of climate change.ResultsThe following ecological factors emerged as particularly important for habitat suitability: precipitation of driest month and driest quarter, annual precipitation, annual mean temperature, temperature seasonality, and mean temperature of coldest quarter, contributing to a cumulative total of 87%. Under current climate conditions, optimum habitats of P. heterophylla were mainly distributed in the southwestern region (Guizhou) and eastern regions (Anhui, Zhejiang, Fujian, Jiangsu) of China, and only 0.197×106 km2 of these areas were optimum habitat. In future climate change scenarios, the optimal habitat area of P. heterophylla exhibited an increase across different time periods under the SSP5-8.5 climate scenario. By the 2090s, distribution area of high heterophyllin B content under SSP5-8.5 climate scenarios will increase significantly, distribution area of high polysaccharide content had little change under all three climate scenarios (SSP 1-2.6, 2-4.5, 5-8.5). The center of mass of suitable habitat migrates southwestward under scenario SSP 1-2.6 and SSP 2-4.5, while it migrates northward under scenario SSP 5-8.5. Under the three climate scenarios, the center of mass of suitable habitat migrated consistently with that of high polysaccharide content but differed from that of high heterophyllin B content.ConclusionThese findings provide a crucial foundation for cultivating P. heterophylla with superior medicinal properties, developing adaptive management strategies to enhance conservation efforts, and ensuring sustainable utilization in the face of global climate change.
Using normalisation process theory to identify factors facilitating the scaling up of parenting programs for immigrant parents
Authors: Osman Fatumo , Schön Ulla-Karin , Salari Raziye 
Published: December 2024

ObjectiveAs most studies focus on the initial adaptation of culturally tailored parenting programs in real-world settings, scalability and sustainability remain understudied. In this study, we used normalization process theory (NPT) as a conceptual framework to identify and understand the contextual factors impacting the scalability and sustainability of a culturally tailored parenting program, Ladnaan, in three Swedish municipalities.MethodNineteen managers, coordinators, and group leaders completed a survey and participated in individual or focus group interviews.ResultsOur analyses showed that participants agreed on the need for the Ladnaan intervention among immigrant families. However, they were concerned that insufficient resources may hinder the recruitment and retention of parents, particularly as certain resources were allocated to the delivery of other, non-evidence-based interventions. Both managers and coordinators emphasized that embedding Ladnaan into everyday practice is conditioned on the collective work and engagement of all stakeholders, which will occur only if local authorities feel they own the program. The recruitment and retention of group leaders was mentioned as a key challenge in sustaining Ladnaan as the need for the program fluctuated over time.ConclusionThese findings highlight the importance of promoting evidence-based programs within the services available for forcibly displaced parents, and of coordinating efforts to scale up and sustain these programs.
The relationship between urban residents’ physical exercise attitudes and sports consumption demands: the mediating role of physical activity level
Authors: Chen WeiSong , Zhou Bowei , Peng Bo , Li Lin 
Published: December 2024

ObjectThis study examines the differences and relationships among urban residents’ physical exercise attitudes, physical activity levels, and sports consumption demands, focusing on how physical activity mediates the relationship between exercise attitudes and consumption behaviors.MethodA survey was conducted among residents in Chengdu using validated questionnaires to measure physical exercise attitudes, physical activity levels, and sports consumption demands. Data analysis included independent samples t-tests and one-way ANOVA to assess differences across demographic variables, as well as correlation analysis and structural equation modeling to examine the path relationships among key variables.ResultsIndependent samples t-tests and ANOVA showed significant differences in sports consumption demands across age, education, and income groups (p &lt; 0.05). Correlation analysis revealed significant positive relationships among physical exercise attitudes, physical activity levels, and sports consumption demands (p &lt; 0.01). Structural equation modeling confirmed that physical activity levels partially mediated the relationship, with a direct effect size of 0.295 (p &lt; 0.001) and an indirect effect size of 0.117 (p &lt; 0.001), accounting for 28.4% of the total effect.ConclusionThe study highlights that positive exercise attitudes significantly impact sports consumption demands directly and through the mediating role of physical activity levels. Enhancing physical activity can amplify the effects of exercise attitudes on consumption, providing insights for promoting sports participation and consumption in urban settings.
Perceptual distortions characteristic of Alice in Wonderland syndrome in contemporary figurative painting
Authors: Hyatt Erica , Blom Jan Dirk 
Published: December 2024

BackgroundAlice in Wonderland syndrome (AIWS) is a neurological condition characterized by perceptual distortions, most of which are visual in nature (metamorphopsias). Over the past decade there has been a movement in contemporary figurative painting away from strict mimesis toward depicting distortions of the painting’s subject, called disrupted realism. In certain cases the similarities between the distortions in those paintings and those characteristic of AIWS are so striking that we suspect that artists may have experienced distorted perceptions themselves and used them for creative inspiration.MethodsTo empirically test this hypothesis we interviewed 20 painters who frequently use distortions in their work, using the SIntAD, a tailor-made, semi-structured questionnaire. We then carried out a phenomenological analysis of the perceptual phenomena reported on, and compared them with those in their paintings.ResultsOf the artists interviewed, 85% reported on having experienced positive disorders of perception in general (comprising hallucinations, perceptual distortions and other perceptual phenomena), with 55% reporting on a total number of 15 metamorphopsias. Most artists had not been aware of having these distortions to their perception. Nonetheless, most did not use these specific distortions in their work, but rather different types.ConclusionSymptoms of AIWS and other positive disorders of perception are common among contemporary painters who frequently use distortions in their figurative work, although perhaps not more common than in the general population. Artists in the disrupted-realism movement tend not to mimic their own perceptual distortions in their work, although they do feel inspired to distort their work in different ways.
The relationship between sedentary behavior and non-suicidal self-injury behavior among adolescents in China
Authors: Guo Yaru , Yin Xiaojian , Xu Jianyi , Chen Fule , Zhang Feng , Liu Yuan , Sun Pengwei , Hong Jun , Hu Yanyan 
Published: December 2024

BackgroundThe objective of this study was to explore the relationship between sedentary behavior and non-suicidal self-injury (NSSI), and to provide a theoretical basis for preventing and reducing the occurrence of NSSI behavior and the development of intervention measures.MethodsBetween September and December 2021, a sedentary behavior and NSSI survey was administered to 10327 Chinese adolescents aged 12–17 who had been randomly selected using the stratified cluster random sampling method. The results were analyzed using the chi-square test and logistic regression analysis to explore the relationship between sedentary behavior and NSSI in this population.ResultsThe study found an overall NSSI detection rate among the participants of 25.1%, with occasional NSSI and frequent NSSI detection rates of 11.0% and 14.1%, respectively. The NSSI detection rate is higher in girls than in boys. After controlling for related influencing factors, the NSSI detection rates among adolescents with sedentary behavior duration ≥8 hours and screen time ≥2 hours were 1.393(β= 0.332, P &lt;0.01) and 1.569(β= 0.451, P &lt;0.01) times higher than those with sedentary behavior duration &lt;8 hours and screen time &lt;2 hours, respectively.ConclusionSedentary behavior, especially that related to screen time is closely related to the occurrence of NSSI in adolescents. To reduce the occurrence of NSSI, we should therefore pay attention to the harmful effects of sedentary behavior on the physical and mental health of teenagers, take corresponding measures to limit sedentary behavior and screen time, and guide teenagers to use electronic devices correctly.