bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of anoikis-related molecular patterns and the novel risk model to predict prognosis, tumor microenvironment infiltration and immunotherapy response in bladder cancer
Authors: Zhu Luochen , Xiao Feng , Hou Yi , Huang Shenjun , Xu Yanyan , Guo Xiaohong , Dong Xinwei , Xu Chunlu , Zhang Xiaolei , Gu Haijuan 
Published: November 2024

BackgroundAnoikis, a unique form of cell death, serves as a vital part of the organism's defense by preventing shedding cells from re-attaching to the incorrect positions, and plays pivotal role in cancer metastasis. Nonetheless, the specific mechanisms among anoikis, the clinical prognosis and tumor microenvironment (TME) of bladder cancer (BLCA) are insufficiently understood.MethodBLCA patients were classified into different anoikis subtypes based on the expression of candidate anoikis-related genes (ARGs), and differences in the clinicopathological features, TME, immune cell infiltration, and immune checkpoints between two anoikis subtypes were analyzed. Next, patients in the TCGA cohort were randomized into the train and test groups in a 1:1 ratio. Subsequently, the anoikis-related model was constructed to predict the prognosis via utilizing the univariate Cox, LASSO and multivariate Cox analyses, and validated internally and externally. Moreover, the relationships between the risk score and clinicopathologic features, immune cell infiltration, immunotherapy response, and antitumor drug sensitivity were also analyzed. In addition, representative genes were evaluated using immunohistochemistry in clinical specimens, and in BLCA cell lines, functional experiments were performed to determine the biological behavior of hub gene PLOD1.ResultTwo definite anoikis subgroups were identified. Compared to ARGcluster A, patients assigned to ARGcluster B were characterized by an immunosuppressive microenvironment and worse prognosis. Then, the anoikis-related model, including PLOD1, EHBP1, and CSPG4, was constructed, and BLCA patients in the low-risk group were characterized by a better prognosis. Next, the accurate nomogram was built to improve the clinical applicability by combining the age, tumor stage and risk Score. Moreover, immune infiltration and clinical features differed significantly between high- and low-risk groups. We also found that the low-risk group exhibited a lower tumor immune dysfunction and exclusion score, a higher immunophenoscore (IPS), had more sensitivity to immunotherapy. Eventually, the expression levels of three genes were verified by our experiment, and knockdown of PLOD1 could inhibit invasion and migration abilities in BLCA cell lines.ConclusionThese results demonstrated a new direction in precision therapy for BLCA, and indicated that the ARGs might be helpful to in predicting prognosis and as therapeutic targets in BLCA.
Effects of stand age and soil microbial communities on soil respiration throughout the growth cycle of poplar plantations in northeastern China
Authors: Liu Xiangrong , Hou Lingyu , Ding Changjun , Su Xiaohua , Zhang Weixi , Pang Zhongyi , Zhang Yanlin , Sun Qiwu 
Published: November 2024

IntroductionMany studies have identified stand age and soil microbial communities as key factors influencing soil respiration (Rs). However, the effects of stand age on Rs and soil microbial communities throughout the growth cycle of poplar (Populus euramevicana cv.‘I-214’) plantations remain unclear.MethodsIn this study, we adopted a spatial approach instead of a temporal one to investigate Rs and soil microbial communities in poplar plantations of 15 different ages (1–15  years old).ResultsThe results showed that Rs exhibited clear seasonal dynamics, with the highest rates observed in the first year of stand age (1-year-old). As stand age increased, Rs showed a significant decreasing trend. We further identified r-selected microbial communities (copiotrophic species) as key biological factors influencing the decline in Rs with increasing stand age. Other abiotic factors, such as soil temperature (ST), pH, soil organic carbon (SOC), nitrate nitrogen (NO3−-N), and the C/N ratio of plant litter (Litter C/N), were also significantly correlated with Rs. Increased stand age promoted fungal community diversity but suppressed bacterial community diversity. Bacterial and fungal communities differed significantly in abundance, composition, and function, with the Litter C/N ratio being a key variable affected by microbial community changes.ConclusionThis study provides crucial empirical evidence on how stand age affects Rs, highlighting the connection between microbial community assemblages, their trophic strategies, and Rs over the growth cycle of poplar plantations.
Validation of a web-based dietary assessment program against 24-h recalls in adults with type 1 diabetes
Authors: Barouti Afroditi Alexandra , Bonn Stephanie Erika , Björklund Anneli 
Published: November 2024

BackgroundNutrition Data is a web-based program for nutrition analysis and registration of diet and exercise. It may aid dietary assessment and carbohydrate counting in people with type 1 diabetes (T1D) but requires validation.ObjectivesTo assess relative validity of Nutrition Data in measuring energy, carbohydrate and other macronutrient intake and evaluate the program’s user acceptability, in adults with T1D.MethodsIn this validation study, we analyzed data from 42 participants (median age 46.5 years, 45% women) from the DANCE study, a randomized controlled trial comprising of individuals with T1D in Sweden. Mean intakes of energy, carbohydrates, fat, protein, alcohol, fiber, sugars and saturated fat from 2 days registered in Nutrition Data were compared against the respective intakes acquired by unannounced 24-h-recalls of the same days. Paired sample t-tests and Wilcoxon matched-pairs signed rank tests were used to compare mean intakes between the two methods, and Spearman’s rank correlation and Bland Altman plots were used to assess agreement between the methods. Usability and user acceptability of Nutrition Data were assessed with a questionnaire.ResultsThere were no significant differences in mean dietary intakes between the two methods. Spearman’s correlation coefficients ranged from r = 0.79 for energy intake to r = 0.94 for carbohydrate intake (% total energy intake) (p &lt; 0.001 for all outcomes). The Bland–Altman plots showed no clear patterns of bias, though limits of agreement were relatively wide. Most participants found Nutrition Data easy to use (70%), helpful for carbohydrate counting (88%) and would recommend it to others (73%).ConclusionThe web-based program Nutrition Data showed good validity in assessing intake of energy and macronutrients compared to 24-h recalls and high user acceptability in Swedish men and women with T1D, and could, therefore, be used to facilitate diet registration and carbohydrate counting.
Untargeted metabolomics reveals the alteration of metabolites during the stewing process of Lueyang black-bone chicken meat
Authors: Wang Ling , Li Guojin , Gao Jie , Cheng Jia , Yuan Zhengnan , Lu Hongzhao , Zeng Wenxian , Zhang Tao 
Published: November 2024

IntroductionBlack-bone chicken meat is rich in nutritional substances and bioactive compounds. Stewing is a traditional and healthy cooking style for black-bone chicken meat. However, the alteration of metabolites in chicken meat during stewing is still unknown.MethodsA comprehensive analysis of Lueyang black-bone chicken meat metabolites was performed in fresh chicken meat (FM), short-term heat-pretreated meat (PM), fully cooked meat (CM) and chicken soup (CS) via untargeted metabolomics.ResultsBy comparison, 200, 992 and 891 significantly differentially metabolites (DMs) were identified in the PM vs. FM, CM vs. FM and CS vs. FM comparisons, respectively. These DMs mainly included amino acids, peptides, carbohydrates and lipids. During the heating process, the abundances of Ser, Ala, Tyr, niacinamide, galactose, guanosine 3′-monophosphate and inosine 5′-monophosphate in chicken meat significantly decreased and were partially dissolved in the soup. Due to the hydrolysis of phospholipids, the relative contents of unsaturated lipids, especially a range of lysophosphatidylcholines, lysophosphatidylethanolamines, arachidonic acid and derivatives, increased in fully cooked meat.DiscussionPretreatment had little impact on the changes in metabolites in chicken meat. During stewing, the dissolved amino acids, carbohydrates and nucleic acids could enhance the taste quality of chicken soup, and the high abundance of unsaturated lipids could promote the nutritional quality of black-bone chicken meat. In summary, these data provide helpful information for nutritional quality studies on the metabolite profiles of black-bone chicken meat.
circUBE2G1 interacts with hnRNPU to promote VEGF-C-mediated lymph node metastasis of lung adenocarcinoma
Authors: Li Yuting , Chen Hui , Zhao Yue , Yan Qilu , Chen Lulu , Song Qibin 
Published: November 2024

BackgroundPatients with lymph node(LN)metastasis-positive Lung adenocarcinoma(LUAD)suffer from a significantly reduced five-year survival rate. Increasing evidence indicates circular RNAs(circRNAs)play crucial roles in regulating cancer progression. However, the specific regulatory mechanisms of circRNAs in the LN metastasis of LUAD have not been fully explored.MethodsGEO datasets and sequence analysis were applied for the identification of differentially expressed circRNAs between LUAD tissues and adjacent normal tissues. In vitro and in vivo experiments were performed to evaluate the function of circUBE2G1. The interaction between circUBE2G1 and VEGF-C was determined by RNA pulldown, ChIP, ChIRP and luciferase assays.ResultsIn this study, we identified a novel circRNA, circUBE2G1 (hsa_circ_0041555), which is upregulated in LUAD and positively correlated with LN metastasis in patients with LUAD. Functionally, overexpression of circUBE2G1 promotes lymphangiogenesis and LN metastasis of LUAD both in vitro and in vivo. Mechanistically, circUBE2G1 activates the transcription of vascular endothelial growth factor C (VEGF-C) by recruiting hnRNPU to enhance H3K27ac on the VEGF-C promoter, thereby facilitating lymphangiogenesis and LN metastasis in LUAD.ConclusionOur findings offer new insights into the mechanisms behind circRNA-mediated LN metastasis in LUAD and suggest that circUBE2G1 may serve as a potential therapeutic target for LN metastasis in LUAD.
Could elective nodal irradiation for locally advanced rectal cancer be omitted in the context of total neoadjuvant therapy? An analysis of the recurrence sites of rectal cancer
Authors: Xiao Linlin , Zhuo Shiyu , Gao Yuanhang , Sun Jingyi , Xiao Yuting , Wang Lu , Wang Xuan , Qu Fuyin , Liu Ming , Wang Yi , Gao Chao , Wang Jun , Wu Fengpeng 
Published: November 2024

PurposeThis study aims to optimize neoadjuvant radiotherapy target area for locally advanced rectal cancer (LARC) patients undergoing total neoadjuvant therapy (TNT) by examining local recurrence patterns.Methods and materialsWe retrospectively analyzed the clinical data of rectal cancer patients who undergone local recurrence after surgery. Recurrence sites were categorized and compared with initial diagnosis imaging, focusing on visible and suspicious lesions.ResultsOf the 126 patients who met our criteria, 186 lesions were analyzed. Within these, 75.40% of cases (95/126) and 83.33% of lesions (155/186) were located within the pelvic cavity. Conversely, 3.97% of cases (5/126) and 3.33% of lesions (6/186) occurred outside the pelvic cavity. Additionally, 20.63% of cases (26/126) and 13.44% of lesions (25/186) were found in both regions. Recurrences were predominantly observed in mesenteric regions (MR) (40.86%, 76/186) and presacral regions (PR) (32.26%, 60/186). In addition, 86.51% of patients (109/126) had recurrent lesions in HRA and the suspected lesions areas. Further analysis showed that initial CEA levels and adjuvant therapy types were identified as independent predictors for recurrence in MR/PR and initially suspected lesions. 86.51% of patients had recurrent lesions in HRA and the suspected lesions areasConclusionThe MR, PR, and areas of initial suspicious lesions are high-risk zones for post-surgical recurrence of LARC. Exploratory study of involved-field irradiation (IFI) can be carried out in the context of TNT in LARC.
Changes in LEND trainees’ understanding and application of diversity, equity, inclusion, and justice principles
Authors: Fisher Allison P. , Gies Lisa M. , Weber Stephanie , Froehlich Tanya , Abimosleh Simon , Ravindran Neeraja , Smith Jennifer 
Published: November 2024

ObjectivesTo assess changes in trainees’ knowledge and application of Diversity, Equity, Inclusion, and Justice (DEIJ) concepts after participating in a midwestern academic medical center Leadership Education in Neurodevelopmental and Related Disabilities (LEND) program. LEND is a federally funded year-long program training individuals of various disciplines (e.g., speech pathology, family advocacy, psychology) to better support the health of individuals with disabilities.MethodsTrainees (n = 46) answered questions about their knowledge and application of DEIJ topics before and after program participation in 2021–2022 and 2022–2023. Changes in trainees’ responses were examined using paired-samples t-tests.ResultsThirty-six (78%) participants identified as White, 7 (15%) as Black, 2 (4%) as Asian, and 2 (4%) as more than one race. Three (7%) participants identified as Hispanic/Latino. Over the one-year program, trainees’ perceived knowledge increased [t(45) = 5.84, p &lt; .001, Mdiff = .59, Cohen's D = 0.86]. Regarding articulating definitions of DEIJ terms, trainees’ summed scores following program participation also improved [t(45) = 4.71, p &lt; .001, Mdiff = 2.37, Cohen's D = 0.70]. However, their comfort with addressing prejudicial statements and discussing and combating “-isms” (application of DEIJ skills) did not increase [t(45) = 1.74, p = .09, Mdiff = 0.17, Cohen's D = 0.26].Conclusions for practiceLEND program participation positively impacted trainees’ perceived DEIJ knowledge and ability to define DEIJ terms. However, future refinements to the curriculum will be needed to improve trainees’ application of skills and to develop a more nuanced understanding of equity, intersectionality, inclusion, and belonging.
Mediator role of psychological resilience between post-traumatic stress symptoms and burnout in academicians affected by the earthquakes in Türkiye
Authors: Yetkin Tekin Ayşegül 
Published: November 2024

PurposeThis study aims to investigate the mediator role of psychological resilience in the relationship between post-traumatic stress and burnout symptoms in academicians affected by two earthquakes that occurred on February 6, 2023, affecting 11 provinces of Türkiye.MethodsThe research sample consisted of 175 academicians affected by these earthquakes. Each academician completed an online survey consisting of a sociodemographic form, the PTSD Checklist for DSM-5 (PCL-5), the Brief Psychological Resilience Scale, and the Burnout Syndrome Inventory-Short Version.ResultsNegative relationships were found between the post-traumatic stress symptom and burnout levels of academicians and their psychological resilience levels. Psychological resilience had a partial mediating role in the relationships of post-traumatic stress symptoms (reexperiencing, avoidance, and hyperarousal) and burnout.ConclusionIt can be said that higher post-traumatic stress symptoms’ severity is associated with higher levels of burnout, and psychological resilience has a mediator role in the relationship between post-traumatic stress and burnout in earthquake-affected academicians.
Epidemiological trends of malaria infection in Jeddah, Saudi Arabia, 2018-2023
Authors: Alghamdi Rana , Bedaiwi Ahmed , Al-Nazawi Ashwaq M. 
Published: November 2024

BackgroundMalaria poses a significant global public health challenge, especially in tropical regions. Saudi Arabia established the malaria elimination program decades ago, and implemented public health strategies to reduce malaria burden. Every year, Saudi Arabia welcomes millions of people worldwide, particularly from endemic countries, for work, religious activities, visits, and tourism. Jeddah city plays a vital role as a logistical center for the entry of travelers through its airports and seaports. Gaining insight into the demographic characteristics of malaria cases in Jeddah governorate is a crucial assessment for public health measures to reduce the malaria burden and support the malaria elimination program.MethodIn this cross-sectional study, we described the characteristics of malaria cases reported by the Vector-Borne and Zoonotic Diseases Administration in Jeddah from 2018 to 2023. We also conducted a descriptive analysis using R and QGIS software to comprehend the epidemiological status of malaria cases in the Jeddah governorate.ResultsA total of 2,124 cases were reported from 2018 to 2023. Pakistanis are considered the major nationality with malaria by 47.56%. African countries such as Sudan, Ethiopia, Nigeria, and Chad showed more than a third of malaria cases reported. Plasmodium Vivax and Falciparum were reported by almost 57 and 38%, respectively. An increasing number of malaria cases observed every year, except during the COVID-19 pandemic.ConclusionThis study illustrated the epidemiology trend of malaria cases reported in Jeddah city between 2018 and 2023. Its findings highlighted the importance of strengthened emphasis on malaria prevention protocols in the Kingdom of Saudi Arabia.
Analysis of deviant behaviors and family functions in the population at risk of internet addiction among primary and secondary school students in Chengdu city, Sichuan province of China
Authors: Zhang Xiujuan , Huang Xi , Chen Qiong , Song Yan , Jiang Xixi , Zhou Junxia , Zhao Xiufang , Zhao Li 
Published: November 2024

BackgroundThis study explores the correlation between internet addiction (IA) and deviant behaviors among primary and secondary school students. It analyzes the impact of family functional factors, such as family relationships, parent–child communication, and parental control, on IA. The findings aim to provide a scientific basis for educators and parents to develop targeted preventive and intervention measures.MethodsA cross-sectional survey was conducted using self-administered questionnaires among 8,816 students from five primary and secondary schools in Chengdu. The questionnaire included basic information about students and their families, Young’s Internet Addiction Scale, Shek’s Deviant Behavior Scale, and the Chinese Family Assessment Instrument (C-FAI). Chi-square tests and t-tests were used to compare differences between the at-risk group for internet addiction and the normal population. Statistically significant variables were extracted and included in the hierarchical regression model, with the level of significance set at α = 0.05.ResultsThe detection rate of IA risk among primary and secondary school students was 14.11%, and the detection rate of deviant behaviors in this group was 85.21%. Deviant behaviors such as deceit (r = 0.201), running away from home (r = 0.215), and damaging others’ property (r = 0.209) showed a weak correlation with the risk of internet addiction, and the differences were statistically significant (p &lt; 0.05). The results of the hierarchical regression analysis showed that all five dimensions of family environment and delinquency scores positively predicted internet addiction. Specifically, the change in R2 was 8.7% for mutual concern among family members and 9.7% for student delinquency behavior. Together, family environment and delinquency behavior explained 22.1% of the variance.ConclusionPrimary and secondary school students at risk of IA are more likely to exhibit deviant behaviors, which show a weak correlation with IA. Gender and grade level significantly impact the risk of IA, indicating that male students and those in higher grades require more attention. Strengthening family interventions, especially in areas of mutual communication, family conflict resolution, and parental control, can help prevent IA among primary and secondary school students.
Predicting financial distress in TSX-listed firms using machine learning algorithms
Authors: Lokanan Mark Eshwar , Ramzan Sana 
Published: November 2024

IntroductionThis study investigates the application of machine learning (ML) algorithms, a subset of artificial intelligence (AI), to predict financial distress in companies. Given the critical need for reliable financial health indicators, this research evaluates the predictive capabilities of various ML techniques on firm-level financial data.MethodsThe dataset comprises financial ratios and firm-specific variables from 464 firms listed on the TSX. Multiple ML models were tested, including decision trees, random forests, support vector machines (SVM), and artificial neural networks (ANN). Recursive feature elimination with cross-validation (RFECV) and bootstrapped CART were also employed to enhance model stability and feature selection.ResultsThe findings highlight key predictors of financial distress, such as revenue growth, dividend growth, cash-to-current liabilities, and gross profit margins. Among the models tested, the ANN classifier achieved the highest accuracy at 98%, outperforming other algorithms.DiscussionThe results suggest that ANN provides a robust and reliable method for financial distress prediction. The use of RFECV and bootstrapped CART contributes to the model’s stability, underscoring the potential of ML tools in financial health monitoring. These insights carry valuable implications for auditors, regulators, and company management in enhancing practices around financial oversight and fraud detection.
Morphological Studies and Phylogenetic Analyses Unveil Two Notable New Species of Russula Subg. Heterophyllinae from China
Authors: Chen Bin , Liang Junfeng , Yu Fei 
Published: November 2024

Russula, a prominent genus of ectomycorrhizal fungi, is notably abundant and diverse in China. We present here the findings from studies on various Chinese Russula collections. Two notable species within subg. Heterophyllinae, namely Russula leucoviridis and R. subswatica, were described and illustrated based on comprehensive morphological characteristics and molecular evidence. Morphologically, Russula leucoviridis is characterized by its pastel-green to green pileus center with light-yellow spots, a white to greenish-white pileus margin, and a cuticle that cracks and breaks into small green patches after maturation, whereas R. subswatica is distinguished by an infundibuliform pileus with a deeply depressed center after maturation, a light-orange to grayish-orange pileus center, and a yellowish-white to light-orange margin with a purplish to purplish-black hue, and a white to yellowish-white stipe that exhibits a purplish hue at the junction with the pileus. The phylogenetic analyses were conducted using a combined dataset of ITS, nrLSU, RPB2, and mtSSU. Relying on both morphological characteristics and multigene phylogeny, the former species is classified within subsect. Virescentinae, while the latter is affiliated with subsect. Griseinae. In this study, we provide new scientific data that enhance the comprehension of species diversity within the subgenus Heterophyllinae in China.