bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association between potential predictors and death of patients during the COVID-19 pandemic in Shiraz: a hierarchical multiple regression analysis
Authors: Mohebbi Zinat , Ghaemmaghami Parvin , Rajaei Melika , Keshtkar Mohammad Mehdi , Ghanbarzadeh Sina , Khoram Bagher 
Published: July 2024

Abstract
Introduction
Identifying clinical factors that increase the risk of mortality in COVID-19 patients is crucial. This enables targeted screening, optimizing treatment, and prevention of severe complications, ultimately reducing death rates. This study aimed to develop prediction models for the death of patients (i.e., survival or death) during the COVID-19 pandemic in Shiraz, exploring the main influencing factors.

Method
We conducted a retrospective cohort study using hospital-based records of 1030 individuals diagnosed with COVID-19, who were hospitalized for treatment between March 21, 2021, and March 21, 2022, in Shiraz, Iran. Variables related to the final outcome were selected based on criteria and univariate logistic regression. Hierarchical multiple logistic regression and classification and regression tree (CART) models were utilized to explore the relationships between potential influencing factors and the final outcome. Additionally, methods were employed to identify the high-risk population for increased mortality rates during COVID-19. Finally, accuracy was evaluated the performance of the models, with the area under the receiver operator characteristic curve(AUC), sensitivity, and specificity metrics.

Results
In this study, 558 (54.2%) individuals infected with COVID-19 died. The final model showed that the type of medicine antiviral (OR: 11.10, p = 0.038) than reference (antiviral and corticosteroid), and discharge oxygen saturation(O2) (OR: 1.10, p < 0.001) had a positive association with the chance of survival, but other variables were not considered as predictive variables. Predictive models for the final outcome(death) achieved accuracies ranging from 81 to 87% for hierarchical multiple logistic regression and from 87 to 94% for the CART model. Therefore, the CART model performed better than the hirerical multiple logistic regression model.

Conclusion
These findings firstly elucidate the incidence and associated factors of the outcome (death) among patients in Shiraz, Iran. Furthermore, we demonstrated that antiviral medication alone (without corticosteroids) and high O2 increase the survival chances of COVID patients.
Traces of social culture in the lived experiences of emotional eating among Iranian obese women
Authors: Ebrahimi Ehteram , Mardani-Hamooleh Marjan , Khezeli Mehdi , Avatef-Fazeli Manouchehr , Habibi-Asgarabad Mojtaba 
Published: July 2024

Abstract
Introduction
Emotional eating is a situation with harmful consequences for the physical, mental and social health of humans. In this regard, the present study aimed to explain the role of social culture in the lived experiences of emotional eating in Iranian obese women.

Methods
This was a qualitative study conducted using the phenomenological approach. Purposive heterogeneous sampling method was used to select 17 women with body mass index of 30 and above who had emotional eating experience. Data were collected through semi-structured and face-to-face interviews. A guideline designed by the research team, whose content validity was confirmed by the expert panel, was used to conduct the interviews. Data were analyzed based on Diekelmann 7-step approach, and trustworthiness was evaluated by Lincoln and Guba criteria.

Results
The main topic of the findings was social culture and emotional eating, which was explained by three themes: “influence of social culture”, “language culture of eating” and “the culture of eating together”. Influence of social culture had three sub-themes: “a legal and popular entertainment”, “hospitality culture: encouraging guests to overeat”, and “coping with the social stigma of thinness and obesity”. The language culture of eating had two sub-themes of “association of common infinitives” and “the symbol of swallowing anger “. Also, “culture of eating together” included 2 sub-topics with the titles “pleasant symbol of belonging and love” and “the symbol of family cohesion”.

Conclusion
This study found that social culture through language, norms, and customs can initiate and/or reinforce emotional eating. The results of this study can be used in the design of interventions to improve emotional eating behavior in women by emphasizing the characteristics of Iranian social culture.
Impact of preoperative inflammatory indices and postoperative pneumonia on postoperative atrial fibrillation in patients with non-small cell lung cancer: a retrospective study
Authors: Ruan Yingding , Han Jianwei , Yang Aiming , Ding Qingguo , Zhang Ting 
Published: July 2024

Abstract
Background
This study aimed to evaluate the impact of preoperative inflammatory indices and postoperative pneumonia (POP) on postoperative atrial fibrillation (POAF) in non–small cell lung cancer (NSCLC) patients.

Methods
All consecutive patients who underwent pulmonary resection at our hospital (January 2016-October 2019) were enrolled. Preoperative inflammatory indices, demographic data, surgical details, and postoperative conditions were analyzed. Univariate and multivariate analyses of risk factors associated with POAF were also conducted.

Results
Among the 382 patients included in the study, 32 (8.38%) developed POAF. Compared to non-POAF patients, POAF patients had greater incidence of POP (P = 0.09). Approximately 31 patients (96.9%) developed atrial fibrillation within three days after surgery. The POAF group had a significantly greater mean age (68.94 years) than did the non-POAF group (63 years) (P = 0.002). Additionally, compared to non-POAF patients, POAF patients exhibited an increased number of resected mediastinal lymph nodes (P < 0.001) and mediastinal lymph node stations (P < 0.001).The POAF group also had a greater intraoperative blood volume (P = 0.006), longer surgical duration (P = 0.022), and greater drainage volume (P = 0.003). IA/B stage (P < 0.001) and IIIA/B stage(P < 0.001), and lobectomy resection (P = 0.008) and wedge resection (P = 0.023) were also associated with POAF. Compared to those in the non-POAF group, the POAF group had longer postoperative hospital stays (10.54 days vs. 9 days; P = 0.001) and longer drainage times (7 days vs. 5 days; P = 0.004). Multivariate analysis revealed age, POP, and stage IIIA/B as independent influencing factors of POAF in NSCLC patients.

Conclusion
Preoperative inflammatory indices were not significantly associated with POAF, but age, POP, and stage IIIA/B were identified as independent influencing factors. Advanced-stage NSCLC patients may have a greater susceptibility to POAF than early-stage patients, although further validation is needed. Additionally, POAF was linked to a longer postoperative hospital stay.
Based on network pharmacology and molecular docking to explore the potential mechanism of shikonin in periodontitis
Authors: Zhao Qingliang , Wang Kun , Hou Lin , Guo Lin , Liu Xiangyan 
Published: July 2024

Abstract
Objectives
To investigate the potential mechanisms of shikonin in preventing and treating periodontitis using network pharmacology and molecular docking methods.

Materials and methods
The targets of shikonin were obtained in TCMSP and SEA databases, and targets of periodontitis were gathered from the OMIM, GeneCards and Drugbank Databases. The intersecting targets were entered into the DAVID database to obtain the relevant biological functions and pathways by GO and KEGG enrichment analysis. The obtained targets were analysed the protein–protein interaction (PPI) in STRING platform. In Cytoscape 3.8.0, the network analysis function with the MCODE plug-in were used to obtain the key targets, of shikonin and periodontitis. Molecular docking and molecular dynamics simulation (MD) were used to assess the affinity between the shikonin and the key targets.

Results
Shikonin was screened for 22 targets and periodontitis was screened for 944 targets, the intersecting targets were considered as potential therapeutic targets. The targets played important roles in cellular response to hypoxia, response to xenobiotic stimulus and positive regulates of apoptotic process by GO enrichment analysis. 10 significant pathways were analyzed by KEGG, such as human cytomegalovirus infection and PI3K-Akt signaling pathway, etc. Cytoscape software screened the key genes including AKT1, CCL5, CXCR4, PPARG, PTEN, PTGS2 and TP53. Molecular docking and MD results showed that shikonin could bind stably to the targets.

Conclusions
The present study enriched the molecular mechanisms in periodontitis with shikonin, providing potential therapeutic targets for periodontitis.
Ethnic inequalities in coverage and use of women’s cancer screening in Peru
Authors: Intimayta-Escalante Claudio 
Published: July 2024

Abstract
Objective
This study aimed to assess ethnic inequalities in the coverage and utilization of cancer screening services among women in Peru.

Methods
Data from the 2017–2023 Demographic and Family Health Survey in Peru were analyzed to evaluate ethnic disparities in screening coverage for breast and cervical cancer, including clinical breast examination (CBE), Pap smear test (PST), and mammography. Measures such as the GINI coefficient and Slope Index of Inequality (SII) were used to quantify coverage and utilization disparities among ethnic groups.

Results
The study included 70,454 women aged 30–69. Among women aged 40–69, 48.31% underwent CBE, 84.06% received PST, and 41.69% underwent mammography. It was found inequalities in coverage for any cancer screening (GINI: 0.10), mammography (GINI: 0.21), CBE (GINI: 0.19), and PST (GINI: 0.06), in 25 Peruvian regions. These inequalities were more pronounced in regions with larger populations of Quechua, Aymara, and Afro-Peruvian women. In rural areas, Quechua or Aymara women (SII: -0.83, -0.95, and − 0.69, respectively) and Afro-Peruvian women (SII: -0.80, -0.92, and − 0.58, respectively) experienced heightened inequalities in the uptake of CBE, mammography, and PST, respectively. Like Quechua or Aymara women (SII: -0.50, SII: -0.52, and SII: -0.50, respectively) and Afro-Peruvian women (SII: -0.50, SII: -0.58, and SII: -0.44, respectively) with only a primary education.

Conclusion
Ethnic inequalities affect breast and cervical cancer screening coverage across regions in Peru. In Quechua, Aymara, and Afro-Peruvian women the uptake of mammography, CBE, and PST was less frequently than their white or mestizo counterparts. These inequalities are attributed to sociodemographic conditions such as lower education levels and residence in rural or non-capital areas.
Translation and psychometric analysis of urdu version of modified polycystic ovary syndrome health related quality of life questionnaire (MPCOSQ-U)
Authors: Zaman Rabbiya , Ehsan Sarah , Fatima Abeer , Obaid Sumaiyah , Shahzadi Javeria 
Published: July 2024

Abstract
Background
Polycystic ovary syndrome is a metabolic disorder prevalent among females of reproductive age. The symptoms of PCOS profoundly affect the quality of life of these females. Outcome measures specific to PCOS are crucial to the management of these patients. The MCPOSQ is a validated tool to measure the health-related quality of life specific to PCOS. The purpose of this study was to translate the modified polycystic ovary syndrome quality of life questionnaire (MPCOSQ) and to determine the reliability and validity of the modified polycystic ovary syndrome quality of life questionnaire Urdu version (MPCOSQ-U).

Methodology
This cross-sectional study was conducted in Islamabad/Rawalpindi. The MPCOSQ was translated to Urdu and validated by expert gynaecologists. The MPCOSQ-U and SF-36 were administered to one hundred eighty females with PCOS. The MPCOSQ-U was evaluated for internal consistency, test-retest reliability, factor analysis, face validity, content validity and construct validity.

Results
The average age (years) of the females was 25.27(1.83). The MPCOSQ-U showed excellent test-retest reliability and internal consistency (ICC2,1=0.95, Cronbach’s α = 0.97). The content validity index (CVI) was 0.92. There was a statistically significant but weak positive correlation between MPCOSQ-U and SF-36 (r = .186, p = .012).

Conclusion
The Urdu version of the modified version of the polycystic ovarian syndrome quality of life questionnaire is a validated and reliable tool to assess the quality of life of Pakistani females with PCOS. This is an important step to cover the language barrier, which influences the outcome assessment in PCOS.
Leveraging shortest dependency paths in low-resource biomedical relation extraction
Authors: Enayati Saman , Vucetic Slobodan 
Published: July 2024

Abstract
Background
Biomedical Relation Extraction (RE) is essential for uncovering complex relationships between biomedical entities within text. However, training RE classifiers is challenging in low-resource biomedical applications with few labeled examples.

Methods
We explore the potential of Shortest Dependency Paths (SDPs) to aid biomedical RE, especially in situations with limited labeled examples. In this study, we suggest various approaches to employ SDPs when creating word and sentence representations under supervised, semi-supervised, and in-context-learning settings.

Results
Through experiments on three benchmark biomedical text datasets, we find that incorporating SDP-based representations enhances the performance of RE classifiers. The improvement is especially notable when working with small amounts of labeled data.

Conclusion
SDPs offer valuable insights into the complex sentence structure found in many biomedical text passages. Our study introduces several straightforward techniques that, as demonstrated experimentally, effectively enhance the accuracy of RE classifiers.
Balancing act: exploring work-life balance among nursing home staff working long shifts
Authors: Ingstad Kari , Haugan Gørill 
Published: July 2024

Abstract
Background
Nursing home staff often face challenges in achieving a satisfactory work-life balance, particularly because of the nature of shift work. While long shifts offer extended periods off work, their impact on the delicate balance between work and leisure remains understudied in the context of nursing homes. This study investigated the experiences of nursing home staff in Norway working long shifts lasting 12–14 h and their perceptions of the balance between family life and work.

Methods
Eighteen nursing home staff members were interviewed following a semi-structured qualitative approach. The participants worked in three types of long shifts and provided insights into their experiences, addressing issues such as work hours, shift patterns, and work-family balance.

Results
The study revealed four main categories: (1) impact of long shifts on family life—the highs and lows; (2) maximizing time off with long shifts; (3) reducing job stress with long shifts; and (4) full-time work leads to predictable hours and stable income. The participants emphasised the distinct separation between work and leisure during long shifts, acknowledging limited social life during working periods but appreciating extended periods off. Family life posed challenges, especially with young children, but the participants found benefits in the longer periods of family time during days off. Longer rest periods and reduced commuting time were perceived as advantages of long shifts, contributing to better sleep, reduced stress and overall well-being. Long shifts also allowed for more predictable working hours and income, supporting a stable work-life balance.

Conclusion
Balancing work and family life involves more than just the number of hours spent at work; it also encompasses the quality of those hours both at work and at home. Our findings underscore the complex interplay between work and family life for nursing home staff working long shifts. While challenges exist, benefits such as extended time off, improved sleep, reduced stress, and predictable working hours contribute positively to their work-life balance. Long shifts in nursing homes offer a unique perspective on achieving work-life balance, revealing both the challenges and advantages inherent in such schedules. Understanding the experiences of nursing home staff in this context can inform future innovations in shift scheduling, promoting a more balanced and sustainable work environment for healthcare professionals. For some healthcare staff, extended shifts can lead to a better work-life balance.
Raters and examinees training for objective structured clinical examination: comparing the effectiveness of three instructional methodologies
Authors: Guerrero Jefferson Garcia , Alqarni Ayidah Sanad , Estadilla Lorraine Turiano , Benjamin Lizy Sonia , Rani Vanitha Innocent 
Published: July 2024

Abstract
Background
Utilizing the objective structured clinical examination (OSCE) ensures objectivity when it comes to the assessment of nursing students’ skills and competency. However, one challenge in OSCE integration is rater and examinee training and orientation.

Aim
This study employed a quasi-experimental design to evaluate the effectiveness of different instructional methodologies in training and preparing raters and examinees for the OSCE.

Methods
Participants were divided into three group of training methodologies: online, simulation, and traditional lecture (six raters and 18 examinees were assigned to each group). A total of 18 raters and 54 examinees partook.

Results
The study found that raters trained through simulation exhibited a slight agreement with their rates, compared to those who were trained online and in traditional lectures. Moreover, examinees who were trained through the simulation methodology performed better compared to those trained via the other methodologies.

Conclusions
The study findings indicate that using simulation by training raters and examinees in the OSCE is the most effective approach.
Machine learning for accurate detection of small airway dysfunction-related respiratory changes: an observational study
Authors: Xu Wen-Jing , Shang Wen-Yi , Feng Jia-Ming , Song Xin-Yue , Li Liang-Yuan , Xie Xin-Peng , Wang Yan-Mei , Liang Bin-Miao 
Published: July 2024

Abstract
Background
The use of machine learning(ML) methods would improve the diagnosis of small airway dysfunction(SAD) in subjects with chronic respiratory symptoms and preserved pulmonary function(PPF). This paper evaluated the performance of several ML algorithms associated with the impulse oscillometry(IOS) analysis to aid in the diagnostic of respiratory changes in SAD. We also find out the best configuration for this task.

Methods
IOS and spirometry were measured in 280 subjects, including a healthy control group (n = 78), a group with normal spirometry (n = 158) and a group with abnormal spirometry (n = 44). Various supervised machine learning (ML) algorithms and feature selection strategies were examined, such as Support Vector Machines (SVM), Random Forests (RF), Adaptive Boosting (ADABOOST), Navie Bayesian (BAYES), and K-Nearest Neighbors (KNN).

Results
The first experiment of this study demonstrated that the best oscillometric parameter (BOP) was R5, with an AUC value of 0.642, when comparing a healthy control group(CG) with patients in the group without lung volume-defined SAD(PPFN). The AUC value of BOP in the control group was 0.769 compared with patients with spirometry defined SAD(PPFA) in the PPF population. In the second experiment, the ML technique was used. In CGvsPPFN, RF and ADABOOST had the best diagnostic results (AUC = 0.914, 0.915), with significantly higher accuracy compared to BOP (p < 0.01). In CGvsPPFA, RF and ADABOOST had the best diagnostic results (AUC = 0.951, 0.971) and significantly higher diagnostic accuracy (p < 0.01). In the third, fourth and fifth experiments, different feature selection techniques allowed us to find the best IOS parameters (R5, (R5-R20)/R5 and Fres). The results demonstrate that the performance of ADABOOST remained essentially unaltered following the application of the feature selector, whereas the diagnostic accuracy of the remaining four classifiers (RF, SVM, BAYES, and KNN) is marginally enhanced.

Conclusions
IOS combined with ML algorithms provide a new method for diagnosing SAD in subjects with chronic respiratory symptoms and PPF. The present study’s findings provide evidence that this combination may help in the early diagnosis of respiratory changes in these patients.
Role of long noncoding RNAs in diabetes-associated peripheral arterial disease
Authors: Tapia Alonso , Liu Xuejing , Malhi Naseeb Kaur , Yuan Dongqiang , Chen Muxi , Southerland Kevin W. , Luo Yingjun , Chen Zhen Bouman 
Published: July 2024

AbstractDiabetes mellitus (DM) is a metabolic disease that heightens the risks of many vascular complications, including peripheral arterial disease (PAD). Various types of cells, including but not limited to endothelial cells (ECs), vascular smooth muscle cells (VSMCs), and macrophages (MΦs), play crucial roles in the pathogenesis of DM-PAD. Long non-coding RNAs (lncRNAs) are epigenetic regulators that play important roles in cellular function, and their dysregulation in DM can contribute to PAD. This review focuses on the developing field of lncRNAs and their emerging roles in linking DM and PAD. We review the studies investigating the role of lncRNAs in crucial cellular processes contributing to DM-PAD, including those in ECs, VSMCs, and MΦ. By examining the intricate molecular landscape governed by lncRNAs in these relevant cell types, we hope to shed light on the roles of lncRNAs in EC dysfunction, inflammatory responses, and vascular remodeling contributing to DM-PAD. Additionally, we provide an overview of the research approach and methodologies, from identifying disease-relevant lncRNAs to characterizing their molecular and cellular functions in the context of DM-PAD. We also discuss the potential of leveraging lncRNAs in the diagnosis and therapeutics for DM-PAD. Collectively, this review provides a summary of lncRNA-regulated cell functions contributing to DM-PAD and highlights the translational potential of leveraging lncRNA biology to tackle this increasingly prevalent and complex disease.
Graphical Abstract