bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parenting students and indicators of financial stability, health, and academic success: Findings from a population-based sample of public urban university students
Authors: Sanborn Jenna , Manze Meredith , Watnick Dana 
Published: October 2023

Abstract
Parenting students constitute a significant portion of the college population, with 22% of undergraduate students nationwide managing the dual responsibilities of parenthood and education. This study examines the health, financial, and academic aspects of parenting students attending a large, urban public university, specifically comparing single parents to their married or cohabiting counterparts and non-parenting students in New York City. We collected data from 2,104 participants, including 142 single parents and 119 married or cohabiting parents, through a cross-sectional survey. Using adjusted regression models, we evaluated the associations between parenting status and financial, health, and academic factors. Our findings reveal that, in comparison to non-parents, single parents are significantly more likely to carry debt (adjusted odds ratio [aOR]: 1.81), rely on food assistance (aOR: 5.03), and achieve slightly lower GPAs (β: -0.11). Single parents also work more hours (aOR: 1.66) and have an increased likelihood of facing debt (aOR: 2.66), housing difficulties (aOR: 2.80), food insecurity (aOR: 2.21), and lower GPAs (β: -0.22) compared to their married or cohabiting peers. The disaggregation of single and married or cohabiting parents reveals significant disparities, emphasizing the vulnerability of single parenting students in higher education. Targeted interventions addressing issues like food security and housing are essential to support the academic success of single parents.
Study of influence of Zeolite Application in Rigid pavement and Strength Prediction through Regression Analysis
Authors: Waghmare Sushant , Ghadvir Gopi 
Published: October 2023

Abstract
Concrete is widely employed in construction due to its cost-effectiveness and high durability. A crucial factor impacting concrete performance is the quality of cement used in its production. Incorporating Pozzolanic mineral additives like fly ash and GGBFS during concrete production can result in significant environmental and economic benefits. This addition is known to decrease the calcium hydroxide content in the cement paste, enhancing the permeability of the concrete. Zeolites are alumina silicates characterized by crystalline structures with uniform pores and cavities. They possess unique properties such as molecular sieving, ion exchange, a large surface area, and catalytic activity, making them highly promising for various industrial applications. The Pozzolanic properties of Zeolite primarily arise from their SiO2 and Al2O3 content, which react with calcium hydroxide (CaOH2) generated during cement hydration. This reaction transforms CaOH2 into Calcium Silicate Hydrate (CSH) gel, ultimately improving the microstructure and impermeability of the concrete. Attempts have been made to utilize zeolite concrete additives to neutralize harmful substances, especially those found in fire extinguishing materials. Although the concrete's CO2 absorption with added zeolite has not been precisely measured, zeolite demonstrates strong adsorption properties for CO2 and NOx. This study aims to investigate the impact of incorporating Natural Zeolite on the strength properties of concrete. Statistical tools like the Statistical Package for the Social Sciences (SPSS), Python, are employed for regression analysis to propose various formulas for strength prediction. The predicted results are subsequently validated through laboratory tests on concrete blended with Zeolite.
Genomic Features and Prognostic Biomarkers of Chinese Resectable Lung Adenocarcinoma Patients with a Micropapillary Component
Authors: Zhang Zhenyang , Zhu Jiafu , Lin Wenwei , Wu Mengmeng , Yan Junrong , Xu Yang , Wu Long , Lian Yuane , Kang Mingqiang , Lin Jiangbo 
Published: October 2023

Abstract
Background
Lung adenocarcinoma (LADC) with a micropapillary component (MPC) (LMPC) is an aggressive histologic subtype of lung cancer, with unique pathological features and poor prognosis. Previous studies have characterized the driver mutations in LMPC, however, its comprehensive molecular profile and prognosis-related biomarkers in the Chinese population remain elusive.
Methods
We retrospectively studied 54 stage I-III LMPC patients who underwent complete resection and the LMPC tumor samples were characterized using broad-panel next-generation sequencing (NGS) of 425 cancer-related genes. The association among clinicopathologic factors, genomic characteristics, and post-operation recurrence risk were then explored.
Results
When compared with a reference cohort of 113 LADC patients, LMPC exhibited a unique genetic profile, with more diverse targetable mutations, an increased number of oncogenic pathways altered (NPA), and more oncogenic pathway-related alterations. The mutation frequencies of ERBB4 (11.1% vs. 1.8%, P = 0.015), BRAF (9.3% vs. 1.8%, P = 0.037), PIK3CA (14.8% vs. 4.4%, P = 0.029), RPTOR (P = 0.033), and NOTCH2 (P = 0.033) were significantly higher in LMPC. Moreover, LMPC patients harbored significantly more alterations in three oncogenic pathways (i.e., PI3K, WNT, and TGF-β) and a significantly increased NPA(P < 0.001). By analyzing the correlations between genetic features and median disease-free survival (mDFS) in stage II-III LMPC patients, SMARCA4 mutations (13.9 months vs. Not reached (NR), P = 0.013), as well as alterations in the SWI/SNF (16.3 months vs.NR, P = 0.003) and NRF2 (17.0 monthsvs.NR, P = 0.046) pathways, were significantly associated with higher postoperative recurrence risk. Furthermore, tumor mutation burden (TMB) was significantly correlated with postoperative DFS, with low TMB patients associating with prolonged mDFS than high TMB patients (NR vs.16.8 months, P = 0.021).
Conclusion
Our study elucidated the unique genetic features and the associated prognosis in Chinese resectable LMPC patients, and we found several molecular factors, especially TMB, can serve as potential prognostic biomarkers in stage II-III resectable LMPC. This study helps better understand the underlying mechanism and direct treatment decisions of this aggressive cancer subtype.
Risk factors for prolonged mechanical ventilation in critically ill patients with influenza-related acute respiratory distress syndrome
Authors: Hsu Pai-Chi , Lin Yi-Tsung , Kao Kuo-Chin , Peng Chung-Kan , Sheu Chau-Chyun , Liang Shinn-Jye , Chan Ming-Cheng , Wang Hao-Chien , Chen Yu-Mu , Chen Wei-Chih , Yang Kuang-Yao , TSIRC Taiwan Severe Influenza Research Consortium 
Published: October 2023

Abstract

BackgroundPatients with influenza-related acute respiratory distress syndrome (ARDS) are critically ill and require mechanical ventilation (MV) support. Prolonged mechanical ventilation (PMV) is often seen in these cases and the optimal management strategy is not established. This study aimed to investigate risk factors for PMV and factors related to weaning failure in these patients.MethodsThis retrospective cohort study was conducted by eight medical centers in Taiwan. All patients in the intensive care unit with virology-proven influenza-related ARDS requiring invasive MV from January 1 to March 31, 2016, were included. Demographic data, critical illness data and clinical outcomes were collected and analyzed.ResultsThere were 263 patients with influenza-related ARDS requiring invasive MV enrolled during the study period. Seventy-eight patients had PMV. The final weaning rate was 68.8% during 60 days of observation. The mortality rate in PMV group was 39.7%. Risk factors for PMV were body mass index > 25 (kg/m2) [odds ratio (OR) 2.087; 95% confidence interval (CI) 1.006~4.329], extracorporeal membrane oxygenation (ECMO) use (OR 6.181; 95% CI 2.338~16.336), combined bacterial pneumonia (OR 4.115; 95% CI 2.002~8.456) and neuromuscular blockade use over 48 hours (OR 2.8; 95% CI 1.334~5.879). In addition, risk factors for weaning failure in PMV patients were ECMO (OR 5.05; 95% CI 1.75-14.58) use and bacteremia (OR 3.91; 95% CI 1.20-12.69).ConclusionsPatients with influenza-related ARDS have high mortality rate. Risk factors for PMV include BMI>25, ECMO use, combined bacterial pneumonia and neuromuscular blockade use over 48 hours. In addition, ECMO use and bacteremia predict unsuccessful weaning in PMV patients.
Brain Transcriptome Analysis Reveals Exercise Improves Methamphetamine-Induced Impairments in Mouse Learning and Memory Abilities
Authors: Huang Qiuyue , Wei Changling , Xu Jisheng , Zheng Tianzhen , Liang Xin , Li Xue 
Published: October 2023

Abstract
Background
Methamphetamine (METH) abuse can inflict severe harm to the human body, particularly the brain, resulting in profound and enduring neurotoxic consequences, which culminate in cognitive dysfunction and impairment of learning and memory. Physical exercise can stimulate both structural and functional adaptations in the central nervous system. The primary objective of this study was to elucidate the safeguarding effect and underlying mechanisms of treadmill exercise intervention in the brains of METH-addicted mice.
Results
Two-month-old adult mice were randomly assigned into three distinct groups: the control group (Group C), receiving intraperitoneal injections of saline; the METH treatment group (Group Ma), exposed to intraperitoneal METH administration; and the exercise group (Group Ea), which underwent a two-week regimen of treadmill exercise intervention following intraperitoneal METH exposure. The conditioned place preference experiment and the Y-maze experiment were executed to evaluate METH addiction and assess learning and memory capabilities, respectively. Subsequently, the mouse brain specimens were harvested for transcriptome sequencing and real-time fluorescence quantitative PCR analysis. Transcriptome sequencing analysis identified 316 differentially expressed genes (DEGs) in Group Ma compared to Group C. Furthermore, 156 DEGs were detected in Group Ea compared to Group Ma. Notably, Kyoto Encyclopedia of Genes and Genomes analysis outcomes underscored the substantial association of DEGs, discerned in exercise-intervention mice compared to METH-treated mice, with key signaling pathways, notably the PI3K-Akt, mTOR, and Wnt signaling pathways, among others. Cross-analysis of these DEGs with those induced by METH revealed 43 DEGs in exercise-treated mice, including notable targets, such as NFKBIA, CXCL12, and Vav3.
Conclusion
Our results revealed changes in the expression profile of the brain transcriptome of METH-addicted mice and indicated that treadmill exercise intervention affects the expression changes of the brain transcriptome of METH-addicted mice. The above research results provide unique insights into the further study of the mechanism of treadmill exercise intervention in improving the learning and memory abilities of METH-induced mice.
Communication Scheme for Steganography based on Image Reconstruction Technology with Information-Pixels Conversion
Authors: Zhao Pengbiao , Wang Bintao , Qin Zhen , Ding Yi , Qin Zhiguang , Choo Kim-Kwang Raymond 
Published: October 2023

Abstract
Digital image steganography is a technique for hiding information in an image with the aim of hiding the presence of the information itself. A new steganography without embedding scheme is proposed in this paper to create stego images based only on secret information, in order to avoid image distortion caused by pixel modification-based embedding methods. In this scheme, according to the proposed interconversion algorithm between messages and pixels, the secret message is encoded into pixel format and placed in a blank image in a specified way, which is considered a broken image to be restored. The broken image is repaired by the training network to obtain the stego image. The receiver selects specific stego pixels from the received image and restores them to the delivered secret message according to the inverse of the transformation. In addition, the proposed communication framework supports the choice of different generative network structures, further improving the resistance to steganalysis. The basic generation model was trained and tested on the collected cat face images and bedroom images from the LSUN dataset, respectively, and the steganographic images were evaluated qualitatively and quantitatively. The final experimental results verify that the framework achieves satisfactory performance in steganography capacity and information recovery rate compared with other methods without embedding.
Multimodal Ultrasound Imaging: A Method to Improve the Accuracy of Sentinel Lymph Node Diagnosis in Breast Cancer
Authors: Su Shanshan , Ye Jiayi , Ke Helin , Zhong Huohu , Xu Zhirong , Li Rongbin 
Published: October 2023

Abstract
This study assessed the utility of multimodal ultrasound in enhancing the accuracy of breast cancer sentinel lymph node (SLN) diagnosis. Preoperative examinations, including two-dimensional ultrasound (2D US), intradermal contrast-enhanced ultrasound (CEUS), intravenous CEUS, shear-wave elastography (SWE), and surface localization, were conducted on 86 SLNs from breast cancer patients. The diagnostic performance of single and multimodal approaches for detecting metastatic SLNs was compared to postoperative pathological results. Among the 86 SLNs, 29 were pathologically diagnosed as metastatic, and 57 as non-metastatic. Single-modality ultrasounds had AUC values of 0.826 (intradermal CEUS), 0.705 (intravenous CEUS), 0.678 (2D US), and 0.677 (SWE), respectively. Intradermal CEUS significantly outperformed the other methods (p < 0.05), while the remaining three methods had no statistically significant differences (p > 0.05). Multimodal ultrasound, combining intradermal CEUS, intravenous CEUS, 2D US, and SWE, achieved an AUC of 0.893, with 86.21% sensitivity and 84.21% specificity. The DeLong test confirmed that multimodal ultrasound was significantly better than the four single-modal ultrasound methods (p < 0.05). Decision curve analysis and clinical impact curves demonstrated the superior performance of multimodal ultrasound in identifying high-risk SLN patients. In summary, multimodal ultrasound improves breast cancer SLN identification and diagnostic accuracy.
Wind- and rain-driven macroplastic mobilization and transport on land
Authors: Mellink Yvette A.M. , Emmerik Tim H.M. van , Mani Thomas 
Published: October 2023

Abstract
Wind and rain are considered main drivers of mobilization and transport of macroplastics on land, yet there is a lack of empirical data that quantifies this. We present lab experiment results on land-based macroplastic mobilization and transport. We placed four types of macroplastics on terrains with varying surface roughness and slope angles, and exposed them to changing wind speeds and rain intensities. In general, we find that the mobilization probability and transport velocity of macroplastics strongly depend on the combination of the terrain characteristics and material properties. At Beaufort 3, 100% of the plastic bags were mobilized, whereas the for the other plastic less than 50% as mobilized. We find higher mobilization probabilities on land (grass: factor 1.5; paved: factor 5) than assumed by existing plastic transport models. Macroplastic transport velocities were positively correlated with wind speed, but not with rain intensity. This suggests that macroplastics are not transported on land by rain unless surface runoff develops that can bring the macroplastics afloat. Macroplastic transport velocities were, driven by wind, 1.9 and, driven by rain, 4.9 times faster on paved surfaces than on grass. This study enhances our understanding of land-based macroplastic transport and provides an empirical basis for models.
Uncertainty due to sampling in the quantitative NMR analysis of lignin
Authors: Pawade Shrikant Shivaji , Toom Lauri , Herodes Koit , Leito Ivo 
Published: October 2023

Abstract
In recent years, lignin analysis utilizing quantitative nuclear magnetic resonance (qNMR) has drawn much interest and has been the subject of numerous articles. However, evaluating the measurement uncertainty of lignin qNMR results is still a challenge. Specifically, uncertainty originating from lignin sampling or subsampling has been overlooked in the large majority of the articles. Although lignin is a reasonably homogeneous substance, it is nevertheless a solid, and separate samples collected for the analysis from the same bulk may have somewhat different compositions depending on mixing and the amount of sample taken. The objective of this paper is to evaluate the influence of the sampling uncertainty on the qNMR analysis of lignin on the basis of a case study. In our experiments, we have demonstrated that sample-to-sample variations contribute to about half of the variability coming from the quantitative nuclear magnetic resonance (qNMR) measurements. The relative standard deviation (RSD) of sample-to-sample variability was 2.4%, while the other sources of variability related to qNMR, including measurement, baseline irregularities, and partial peak overlap caused RSD 4.4%. The total variability RSD was 5.0%. We present two calculation approaches for evaluating uncertainty due to sampling from replicate measurement data of different samples, which may be helpful for practitioners in the field.
Status of the resistance of selected rice (Oryzasativa) varieties to bacterial blight strains in Senegal
Authors: DOSSOU Akossan Bernadin , Foncéka Daniel , Tall Hamidou , kane Ardo Ndjido , Faye Ndaw Omar , Sambakhe Diarietou , Szurek Boris , Onaga Geoffrey , Manneh Baboucarr , Diédhiou Papa Madiallacké 
Published: October 2023

Abstract
Rice plays an important role in achieving and maintaining food and nutritional security in the world. However, its productivity is affected by various constraints, including biotic and abiotic stresses, and several socio-economic constraints. Regarding biotic factors, bacterial blight (BB) caused by Xanthomonas oryzae pv. oryzae (Xoo) is a major bacterial disease that causes severe yield losses of more than 70%, thereby threatening food and income security in most rice growing countries, including Senegal. Optimal control of this disease requires the use of host plant resistance, as it is economical and environmentally sustainable. Nevertheless, in the context of Senegal, the available sources of resistance are limited, and the potential for resistance among Senegalese rice varieties has been inadequately investigated. In this study we evaluated local rice germplasms for resistance to bacterial blight in Senegal. A trial was conducted in glasshouse conditions using a split-plot experimental design with 32 rice varieties as the main factor and five strains of Xanthomonas oryzae pv. oryzae (Xoo) as the secondary factor. Seven (07) of the popular rice varieties, including two (02) lowland (TOX 728-1 and BG 90 − 2), four (04) irrigated (ISRIZ 04, ISRIZ 05, ISRIZ 14 and SAHEL 202) and the variety GIGANTE exhibited full resistance against all strains tested. These varieties are suggested to be grown in Xoo-prone areas, and can be used for improving the resistance of other commercial varieties in other regions where Xoo is prevalent. A significant interaction between strains and varieties was detected, suggesting that pathogen race diversity may contribute to the determination of rice resistance to Xoo strains in Senegal. Among all bacterial strains, S82-4-1 of the race S4 exhibited the highest virulence. This strain can be used as reference for screening rice varieties in West-Africa.
Association Between Remnant Cholesterol and Risk of Asthma: NHANES 2005 - 2018
Authors: Zheng Ya-Fang , Liao Wan-Zhe , Zhong Yi , Qu Jia-Kang , Chen Geng-Jia , Guo Xu-Guang 
Published: October 2023

Abstract
Introduction
Remnant cholesterol is an important lipid substance that plays multiple physiological functions in the human body. It plays multiple physiological functions in the human body. Asthma is a common and widespread disease that affects chronic respiratory disease in the global population. In this study, we paid special attention to whether remnant cholesterol was associated with asthma.
Methods
Residual cholesterol levels were divided into continuous and binary variables as exposure variables and asthma as outcome variable. Other covariables are considered potential confounders that may act as effect modulators. Using seven combined circles of the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, this cross-sectional study sought a clear association between exposure and outcome through multiple regression models, subgroup analysis, and smoothed curve fitting tests.
Results
In the multivariable logistic regression analyses, a negative association was discovered between remnant cholesterol levels and the risk of asthma, with all confounders adjusted except smoking status and COPD. In subgroup analyses stratified by COPD, smoking status, and gender, never-smoking and COPD patients followed a U-shaped curve, andfemales followed a positive association, which was revealed intuitively by smooth fitting curves.
Conclusions
Remnant cholesterol levels are inversely associated with the development of asthma. However, the association between remaining cholesterol levels and asthma events in never-smoking and COPD patients followed a U-shaped curve, with females following a positive association.
Relationships between perceived social support, financial toxicity, and negative emotions following surgical treatment for lung cancer: a single-center analysis of high-middle income region in China
Authors: Xiao Julan , Luo Weixiang , Liu Lili , Xie Yanheng , Cheng Sijiao Sijiao , Lin Binghu , An Huai , Qin Lansong , Chen Fengjiao , Wen Yi , Peng Yueming 
Published: October 2023

Abstract
Objective: There is little research on the relationships between perceived social support, financial toxicity, and negative emotions in lung cancer patients in China. This study amed to explore the relationships between perceived social support, financial toxicity and negative emotions in lung cancer patients with surgical treatment.
Methods: A total of 447 lung cancer patients were recruited, participants completed the Comprehensive Scores for Financial Toxicity based on Patient-Reported Outcome Measures, the Chinese version of the Negative Emotion Screening Scale for Inpatients, and the Perceived Social Support Scale. The hypothesized relations were explored using structural equation modeling via the bootstrap method. The study methods were compliant with the STROBE checklist.
Results: Nearly half (42.51%, n=190) of the participants experienced financial toxicity. Negative emotions was negatively associated with perceived social support (r = -0.13) and negatively associated with financial toxicity (r = -0.50). Perceived social support was positively correlated with financial toxicity (r = 0.26). Financial toxicity negatively predicted negative emotions (β = −0.504). Social support and financial toxicity could explain 25.3% of the variance in patients’ negative emotions. Social support positively predicted financial toxicity (β = 0.257) and explained 6.60% of the variance in financial toxicity. Furthermore, financial toxicity could mediate the relationship between perceived social support and negative emotions (b = -0.124; 95% confidence interval: -0.182, -0.086).
Conclusion: Perceived social support can relieve lung cancer patients’ negative emotions, while financial toxicity can increase it. Perceived social support can also positively influence patients’ financial toxicity. Therefore, perceived social support should be enhanced to relieve patients’ financial toxicity and decrease their distress.