bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Public Health Education on Healthcare-Seeking Behavior among Migrants: Evidence from China
Authors: Li Zihao , Gu Jinghong , Chen Huiying , Xu Qinglin , Lin Zi , Gu Hai 
Published: November 2023

Abstract
Public health education (PHE) effectively improves migrants' healthcare-seeking behavior (HSB). This study leverages data from the 2017 China Migrant Dynamic Survey (CMDS) to explore the association between PHE and HSB, employing the Probit model and Propensity Score Matching method. The results showed that: (1) PHE can significantly contribute to migrants’ attitudes(β=0.020, p<0.01), preferred primary(β=0.032, p<0.01), and local medical institutions (β=0.010, p<0.05) toward health care; (2) In healthcare attitudes and local medical institutions preferences, the impact is strongest among older adults, rural residents, higher education levels, women, and lower-income groups. HSB more effectively influences primary medical institution preference among older adults, urban residents, higher education levels, men, and lower-income groups. (3) Mechanism testing confirms that PHE influences the healthcare attitude (β=0.064, p<0.01; Z=5.627, p<0.01) and prioritizing primary medical institution (β=0.150, p<0.01; Z=8.526, p<0.01) of migrants through health literacy; (4) Regarding healthcare attitudes and preferences for primary medical institutions, New Rural Cooperative Medical Scheme (NRCMS) shows a positive moderating effect (β=0.008, p<0.01), whereas BMISUE has a contrary (β=-0.007, p<0.01; β=-0.025, p<0.01). However, when it comes to preferring local medical treatment, BMISUE exhibits a negative moderating effect (β=0.001, p<0.05). Based on the research, the government should enhance PHE, boost NRCMS participation and reimbursement, and target specific groups, such as middle-aged, lower-educated, and high-income individuals, improve healthcare utilization, promote preferred primary medical institutions, and reduce cross-regional treatment.
The Role of Moesin in Diagnosing and Assessing Severity of Lymphangioleiomyomatosis
Authors: Song Xixi , Cai Hui , Peng Wenjun , Chen Ke , Abuduxukuer Zilinuer , Zeng Yingying , Zhu Guiping , Lu Chong , Chen Yu , Wang Jian , Ye Ling , Jin Meiling 
Published: November 2023

Abstract
Background
Lymphangioleiomyomatosis (LAM) is a rare disease which is easily misdiagnosed. Vascular endothelial growth factor D (VEGF-D), as the most common biomarker, however, is not so perfect for the diagnosis and severity assessment of LAM.
Materials and methods
The isobaric tags for relative and absolute quantitation (iTRAQ)-based method was used to identify a cytoskeleton protein, moesin. 84 patients with LAM, 44 patients with other cystic lung diseases (OCLD), and 37 healthy control subjects were recruited for collecting blood samples and clinical data. The levels of moesin in serum were evaluated by ELISA assay. The relationships of moesin with lymphatic involvement, lung function, and treatment decision were explored in patients with LAM.
Results
The candidate protein moesin was identified by the proteomics-based bioinformatic analysis. The serum levels of moesin were higher in patients with LAM [219.0 (118.7-260.5) pg/mL] than in patients with OCLD (125.8 ± 59.9 pg/mL, P < 0.0001) and healthy women [49.6 (35.5–78.9) ng/mL, P < 0.0001]. Moesin had an area under the receiver operator characteristic curve (AUC) of 0.929 for predicting LAM diagnosis compared to healthy women (sensitivity 81.0%, specificity 94.6%). The combination of moesin and VEGF-D made a better prediction in differentiating LAM from OCLD than moesin or VEGF-D alone. Moreover, elevated levels of moesin were related to lymphatic involvement in patients with LAM. Moesin was found negatively correlated with FEV1%pred, FEV1/FVC, and DLCO%pred (P = 0.0181, r = -0.3398; P = 0.0067, r = -0.3863; P = 0.0010, r = -0.4744). A composite score combining moesin and VEGF-D improved prediction for sirolimus treatment, compared with each biomarker alone.
Conclusion
Higher levels of moesin in serum may indicate impaired lung function and lymphatic involvement in patients with LAM, suggest a more serious condition, and provide clinical guidance for sirolimus treatment.
Geochemical and Mineralogical Characterization of Sylhet Limestone and Kopili Formations in Joypurhat Limestone Mine Area
Authors: Khan Rashed Ahmed , Chowdhury Mahabub Arefin , Sultan-Ul-Islam Md , Howlader Rakib 
Published: November 2023

Abstract
The Bengal Basin's Eocene Sylhet limestone deposit is important for geological research. The present work aims to identify the geochemical and mineralogical characteristics of the Sylhet Limestone and Kopili Formations in the borehole GDH-29 of Joypurhat Limestone Mine Area, and interpret the environments of deposition of limestone. The X-ray fluorescence (XRF) analysis of eleven samples selected from different depth reveal that the CaO, MgO, SiO2, Al2O3 and Fe2O3 are the major oxides whereas P2O5, SO3, K2O, TiO2, Cr2O3, MnO, SrO and NiO are the minor oxides. Besides the major and minor oxides, some trace elements like V2O5, CuO, ZnO, Y2O3 and ZrO2 are also present. The CaO content is higher in most of the samples that increases with depth. Its weight percentage is higher in Sylhet Limestone Formation than the Kopili Formation. The Harker’s variation diagrams for the Sylhet Limestone show a negative correlation of CaO vs other oxides like Na2O, SiO2, MgO, Al2O3, SO3, P2O5, K2O, TiO2, MnO, Cr2O3, Fe2O3, SrO, Cl etc. All these oxides decrease with the increase in CaO. But in the Kopili Formation these also show negative trend except for few minor and trace elements like Na2O, MgO, P2O5 and ZrO2. This trend supports that the carbonate depositional environments deteriorated from beginning of deposition of the Sylhet Limestone to the end of the Kopili Formation. The X-ray diffraction (XRD) analysis of ten representative samples exhibits the dominance of calcite followed by alpha-iron, quartz and chlorite-serpentine. Calcite is the predominant carbonate mineral in the Sylhet Limestone. The alpha-iron with chlorite-serpentine are also present as insignificant components. Quartz and alpha iron are the most abundant minerals in the Kopili Formation with a minor proportion of calcite.
Asystasia gangetica, beyond its Widespread Distribution Recorded in Two Indonesian Herbaria Since 1863: A Nuisance or A Blessing?
Authors: Tanjung Livia Rossila , Nurainas Nurainas , Zulaspita Witri 
Published: November 2023

Abstract
In the world of botanical diversity, some plants manage to find their niche through adaptability and widespread distribution. Asystasia gangetica, one of those versatile species, has established itself in various ecosystems worldwide. Based on specimen collections of the Herbarium Bogoriense and the Herbarium Anda, we investigated the global distribution of this plant by highlighting its characteristics, ecological adaptability, significance, implications, and potential benefits. This study showed that A. gangetica had flourished in Malaysia in 1863, 30 years before it had in Indonesia, refuting the popular belief that it had been introduced to the country in 1876. Furthermore, given the two A. gangetica subspecies differ in phenotype and genotype, we propose that they should be considered distinct species. So, the subsp. gangetica, native to the Indian subcontinent and Southeast Asia and is synonymous with Asystasia coromandeliana, should be named Asystasia gangetica, while the subsp. micrantha, native to Africa and the Arabian Peninsula and is synonymous with Asystasia intrusa, should be named Asystasia micrantha. This study confirmed that A. micrantha is more invasive than A. gangetica. Both plants, however, exhibit advantageous qualities beneficial to humans. As a cover crop, it is useful for conservation efforts. As a food source, it is nutritious for humans and animals. As a bioactive compound source, it can be developed into novel drugs. Its beneficial properties imply that this plant is intended to benefit humans and animals, even though its invasiveness needs to be monitored and regulated. Thus, we believe its advantages outweigh its drawbacks.
Molecular Mechanisms of Reduced Risk of Decompression Sickness in Deep Diving Cetaceans
Authors: Guo Boxiong , Sun Yixuan , Wang Yuehua , Zhang Ya , Xu Shixia , Yang Guang , Ren Wenhua , Zheng Yu 
Published: November 2023

Abstract

BackgroundCetaceans, having experienced prolonged adaptation to aquatic environments, have undergone evolutionary changes in their respiratory systems. This process of evolution has resulted in the emergence of distinctive phenotypic traits, notably the abundance of elastic fibers in their lungs. These fibers facilitate the collapse of cetaceans' lungs during dives and subsequent re-expansion upon surfacing, effectively reducing the risk of decompression sickness. Such adaptations play a crucial role in minimizing the risk of decompression sickness during deep dives. Nevertheless, the scientific inquiry into the mechanisms through which these unique phenotypic characteristics govern the diving behavior of marine mammals, including cetaceans, remains unresolved.ResultsThis study entails an evolutionary analysis of 42 genes associated with pulmonary fibrosis across 45 mammalian species. Twenty-one genes in cetaceans exhibited accelerated evolution, featuring specific amino acid substitutions in 14 of them. Primarily linked to the development of the respiratory system and lung morphological construction, these genes play a crucial role. Moreover, among marine mammals, we identified eight genes undergoing positive selection, and the evolutionary rates of three genes significantly correlated with diving depth. Specifically, the SFTPC gene exhibited convergent amino acid substitutions. Through in vitro cellular experiments, we illustrated that convergent amino acid site mutations in SFTPC contribute positively to pulmonary fibrosis in marine mammals, thereby reducing the risk of decompression sickness during diving.ConclusionsThe study unveils pivotal genetic signals in cetaceans and other marine mammals, arising through evolution. These discoveries yield substantial biological insights into how these species mitigate the risk of decompression sickness during dives. Moreover, the research serves as a valuable reference for delving deeper into human diving physiology.
CTGAN-ENN: A tabular GAN-based Hybrid Sampling Method for Imbalanced and Overlapped Data in Customer Churn Prediction
Authors: Adiputra I Nyoman Mahayasa , Wanchai Paweena 
Published: November 2023

Abstract

Class imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes. The prediction task of customer churn becomes more challenging when there is class overlap in the data training. In this research, we suggested a hybrid method based on tabular GANs, called CTGAN-ENN, to address class overlap and imbalanced data in datasets of customers that churn. We used five different customer churn datasets from an open platform. CTGAN is a tabular GAN-based oversampling to address class imbalance but has a class overlap problem. We combined CTGAN with the ENN under-sampling technique to overcome the class overlap. CTGAN-ENN reduced the number of class overlaps by each feature in all datasets. We investigated how effective CTGAN-ENN is in each machine learning technique. Based on our experiments, CTGAN-ENN achieved satisfactory results in KNN, GBM, and XGB machine learning performance for customer churn predictions. We compared CTGAN-ENN with common over-sampling and hybrid sampling methods, and CTGAN-ENN achieved outperform results compared with other sampling methods. We provide a time consumption algorithm between CTGAN and CTGAN-ENN. CTGAN-ENN achieved less time consumption than CTGAN. Our research work provides a new framework to handle customer churn prediction problems with several types of imbalanced datasets and can be useful in real-world data from customer churn prediction.
A Deep Learning Approach for Spine Cervical Injury Severity Determination through Axial and Sagittal Magnetic Resonance Imaging Segmentation and Classification
Authors: Wiguna I Gusti Lanang Ngurah Agung Artha , Kristian Yosi , Deslivia Maria Florencia , Limantara Rudi , Cahyadi David , Liando Ivan Alexander , Hamzah Hendra Aryudi , Kusuman Kevin , Dimitri Dominicus , Anastasia Maria , Suyasa I Ketut 
Published: November 2023

Abstract
Objectives: Spinal cord injuries (SCI) require extensive efforts to predict the outcome of patients. While the ASIA Impairment Scale is the gold standard to assess patients with SCI, it has some limitations due to the subjectivity and impracticality in certain cases. Recent advances in machine learning (ML) and image recognition have prompted research into using these tools to predict outcomes. The aim of this study is to present a comprehensive analysis using deep learning techniques to evaluate and predict cervical spine injuries from MRI scans.
Materials & Method: This is a cross-sectional database study, with patients admitted with traumatic and nontraumatic cervical SCI from 2019 to 2022 were included in our study. MRI images were labelled by four senior resident physicians. We trained a deep convolutional neural network using axial and sagittal cervical MRI images from our dataset and assessed model performance.
Result: In the axial spinal cord segmentation, we achieved a dice score of 0.94 for and IoU score of 0.89. In the sagittal spinal cord segmentation, we obtained a dice scores up to 0.9201 and IoU scores up to 0.8541. The model for axial image score classification gave a satisfactory result with an f1 score of 0.72 and AUC of 0.79.
Conclusion: Deep learning has been used in automated diagnostic tools, showing promise for significant future advancement. Our models were effectively able to identify cervical spinal cord injury on T2-weighted MR images with satisfactory performance. Further research is necessary to create an even more advanced model for predicting patient outcomes in spinal cord injury cases.
Small bowel lymphoma on small bowel endoscopic ultrasound: Case presentation and literature review
Authors: Liu Zhongcheng , Huang Zicheng , Peng Bo , Xiao Ting , Li Miao , Guo Qin 
Published: November 2023

Abstract
Diagnosing small bowel lymphoma is difficult, for which small bowel ultrasound endoscopy can be used effectively. This study summarizes the presentation of small bowel lymphoma on small bowel endoscopic ultrasound. We retrospectively analyzed the clinical features and imaging and endoscopic characteristics of five patients with small bowel lymphoma admitted to the Sixth Affiliated Hospital of Sun Yat-sen University between April and October 2023. A literature review was conducted by searching the PubMed database, Web of Science, and Embase using “small bowel,” “small intestinal,” “endoscopic ultrasound,” and “lymphoma” as search terms with a date range from January 2000 to October 2023. We included five patients (four men and 1 woman) of 48–72 years of age. Enteroscopy indicated ulcerative small bowel lymphoma in two cases and mass-like small bowel lymphoma in three cases. Three cases were surgically treated, and two were treated using chemotherapy. We classified the small bowel endoscopic ultrasound presentation of small bowel lymphoma into two types based on enteroscopic presentation. (1) Limited or diffuse circumferential thickening of the bowel wall with homogeneous hypoechogenicity and loss of its normal layered organization and (2) Thickening of the entire bowel wall but without fusion, presenting as thickening of the muscularis propria.
Associations between parenting styles and non-suicidal self-injury in children aged 10-12: the mediating role of negative attentional biases and emotional symptoms
Authors: Dai Xiaohui , Yan Guoli , Li Minghui , Yang Tengfen , Yan Qiuping , Hou Xiaofei , Yin Huifang , Sun Ling , Xu Guangming 
Published: November 2023

Abstract
Background: Non-suicidal self-injury (NSSI) in children aged 10-12 is often associated with increased suicide risk and more severe clinical presentation, yet research on the mechanisms and factors influencing NSSI in this group is extremely limited. The aim of this study was to examine the relationship between parenting styles and non-suicidal self-injury in children aged 10-12, and to further explore the mediating role of negative attentional bias and emotional symptoms in this context.
Methods: A total of 1452 children from eight primary schools in Tianjin, China, were surveyed using handy sampling and assessed for NSSI, emotional and behavioural problems by self-report and parent report. Logistic regression was used to examine the effects of parenting style, negative attentional bias, and emotional symptoms on NSSI. Chained mediation model analyses were conducted using the PROCESS macro program developed by Hayes.
Results: The detection rate of self-injury in children aged 10-12 was 23.8% (346/1452); Verbosity was significantly positively correlated (r = 0.06, p < 0.05); and there was a significant positive correlation between children's self-injurious behaviour and students' self-rated emotional symptoms (r = 0.238, p < 0.001) and parents' rated emotional symptoms (r = 0.119, p < 0.001). Negative attentional bias and mood symptoms play a chain-mediated role in the relationship between Verbosity and NSSI.
Limitations: All survey methods were self-reported and recall bias may have affected the responses. Causality cannot be inferred in a cross-sectional study.
Conclusion: Verbosity was found to indirectly influence NSSI behaviour through children's negative attentional bias and emotional symptoms.
Can electroencephalography-based neurofeedback treat post-traumatic stress disorder? A meta-analysis study
Authors: Matsuyanagi Kana 
Published: November 2023

Abstract

Objective
Post-traumatic stress disorder (PTSD) remains a significant clinical challenge with limited treatment options. Although EEG neurofeedback has garnered attention as a prospective treatment modality for PTSD, no comprehensive meta-analysis has been conducted to assess its efficacy and compare different treatment protocols. This study aims to provide a multi-variable meta-regression analysis of EEG neurofeedback's impact on PTSD symptoms, while also assessing variables that may influence treatment outcomes.
Methods
A systematic review was performed to identify controlled trials studying the efficacy of EEG neurofeedback on PTSD. The overall effectiveness was evaluated through meta-analysis, and a multi-variable meta-regression was employed to discern which protocols were more efficacious than others.
Results
EEG neurofeedback yielded a statistically significant reduction in PTSD symptoms immediately post-intervention, with sustained effects at one and three months follow-up. A sub-analysis of sham-controlled studies confirmed that outcomes were not driven by placebo effects. Our findings also identified the target frequency and region, as well as feedback modality, as significant factors for treatment success. In contrast, variables related to treatment duration were not found to be significant moderators, suggesting cost-effectiveness.
Conclusions
EEG neurofeedback emerges as a promising and cost-effective treatment modality for PTSD with the potential for long-term benefits. Our findings challenge commonly utilized protocols and advocate for further research into alternative methodologies to improve treatment efficacy.
Exploring the relationship across self-determined motivation, affects, and anxiety among gym practitioners during the second COVID-19 lockdown
Authors: Antunes Raúl , Rodrigues Filipe , Jacinto Miguel , Amaro Nuno , Matos Rui , Monteiro Diogo 
Published: November 2023

Abstract
The present study explores the influence of self-determined motivation and the interplay of positive and negative affect on anxiety levels among individuals engaged in gym practitioners during the second COVID-19 lockdown. A total of 196 exercisers (29.17 ± 10.77) were enrolled in the present study, of which 112 (57.1%) were women and 84 (42.9%) were men. The survey included sociodemographic data, as well as validated instruments measuring self-determined motivation, positive and negative affect, and anxiety states related to the COVID-19 pandemic. The results revealed a positive association between self-determined motivation and positive affect (β = 0.36, CI = 0.12, 0.37; p < 0.001), and a negative association between self-determined motivation and negative affect (β = -0.17, CI = -0.31, -0.01; p = 0.03). Moreover positive, and negative affect are negatively (β = -0.33, CI = -0.43, -0.24; p < 0.001) and positively (β = 0.72, CI = 0.57, 0.82; p < 0.001) associated to anxiety, respectively. Thus, this study appears to emphasize the impact of self-determined motivation on affect as a potential buffer against anxiety levels, particularly in a context where practitioners found themselves restricted in their usual gym practices.
Relationship Between Ki-67 And Breast Cancer A historical cohort study
Authors: nemati mehran , Moslemi Daryoush , Ranaee Mohammad 
Published: November 2023

Abstract
purpose
According to past studies and the importance of Ki-67 in breast cancer, a clear cut-off point for prognosis and prediction of recurrence has not yet been determined; Therefore, the purpose of this study is to investigate the level of Ki-67 in breast cancer patients and its relationship with other laboratory markers and clinical findings, and finally its relationship with patient survival.
Methods
Patient information was extracted from their medical records. patients in stages Ⅱ and Ⅲ who underwent a mastectomy, chemotherapy, radiation, and hormone therapy were included in the study, and patients with incomplete information were excluded. According to the Ki-67 level, patients were divided into three groups and followed up for 36 months.
Results
According to the inclusion and exclusion criteria, 500 patients were included in the study. Ki-67 level had a significant relationship with disease stage (p = 0.037), tumor size (p = 0.006), estrogen (p < 0.001), and progesterone (p < 0.001) receptors, HER2 (p < 0.001) and molecular subgroups (p < 0.001), as well as with disease-free interval (DFI) (p < 0.001), but it had no significant relationship with patients' age and lymph nodes. In examining the relationship between Ki-67 level and disease-free interval in each molecular subgroup, there was a significant relationship only in luminal A (p = 0.003) and luminal B (p = 0.004) subgroups, and it was not significant in HER2-enrich and triple-negative subgroups.
Conclusion
Ki-67 can be useful in predicting recurrence, especially in patients in luminal A and luminal B molecular subgroups.