bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interpretable Machine Learning Model to Predict Rupture of Small Intracranial Aneurysms and Facilitate Clinical Decision
Authors: Xiong WeiGen , Chen TingTing , Zhao ZhiHong , Li XueMei , Shan YaJie , Guo LeHeng , Xiang Lan , Chu Dong , Zhao Zheng , Fan HongWei , Li YingBin , Zou JianJun 
Published: November 2021

Abstract
Estimating the rupture risk of small intracranial aneurysms (IAs) to determine whether to treat is difficult but crucial. We aimed to construct and external validation a convenient machine learning (ML) model for assessing the rupture risk of small IAs.1004 patients with small IAs recruited from two hospitals were included in our retrospective research. The patients at hospital 1 were stratified into training (70%) and internal validation set (30%) randomly, and the patients at hospital 2 were used for external validation. We selected predictive features using the least absolute shrinkage and selection operator (LASSO) method, and constructed five ML models applying diverse algorithms including random forest classifier (RFC), categorical boosting (CatBoost), support vector machine (SVM) with linear kernel, light gradient boosting machine (LightGBM) and extreme gradient boosting (XGBoost). The Shapley Additive Explanations (SHAP) analysis provided interpretation for the best ML model.The training, internal and external validation cohorts included 658, 282, and 64 IAs, respectively. The best performance was presented by SVM as AUC of 0.817 in the internal [95% confidence interval (CI), 0.769-0.866] and 0.893 in the external (95% CI, 0.808-0.979) validation cohorts, overperformed than the PHASES score significantly (all P < 0.001). SHAP analysis showed maximum size, location and irregular shape were the top three important features to predict rupture. Our SVM model based on readily accessible features presented satisfying ability of discrimination in predicting the rupture IAs with small size. Morphological parameters made important contributions to prediction result.
Impacts of Study Area Spatial Form on Co-location Quotient Analysis: Evidence From Medical Resources Distribution in Wuhan City
Authors: Chen Qiao , Cheng Jianquan , Tu Jianguang 
Published: November 2021

Abstract
BackgroundThere is a sharp contradiction between supply and demand of medical resources in provincial capitals of China. Understanding the spatial patterns of medical resources and identifying their spatial association and heterogeneity is a prerequisite to ensuring limited resources are allocated fairly and optimally, which, along with improvements to urban residents’ quality of life, is a key aim of healthy city planning. MethodLocalised co-location quotient (LCLQ) analysis has been used successfully to measure directional spatial associations and heterogeneity between categorical point data. Using point of interest data and the LCLQ method, this paper presents the first analysis of spatial patterns and directional spatial associations between six medical resources across Wuhan city, and evaluates the impact of study area spatial form (considered as a new dimension of spatial scale) on spatial analysis. The unique morphology of Wuhan city, which is bisected by the Yangtze River, is used to assess the impacts on LCLQ analysis and the seeking behaviour of medical resources.ResultsThis paper demonstrated the impacts of the spatial form of a study area on the global and local values of LCLQ of local-level medical resources. When splitting the city into multiple data sets (e.g. regions A and B in this paper), the global and local LCLQ values for pharmacies, clinics and community hospitals changed signficantly in both regions after the spatial partition. The border areas between regions A and B were influenced most.ConclusionThis paper focused on the impacts of the unique spatial form of the study area created by large-scale natural barriers. we should not ignore the impacts of the unique spatial form of the study area created by large-scale natural barriers such as mountains, rivers or lakes. The findings highlight another form of multiscale analysis in urban GIS.
Clinical and Sociodemographic Risk Factors Associated With the Development of Second Primary Cancers Among Postmenopausal Breast Cancer Survivors
Authors: Bailey Stacyann , Ezratty Charlotte , Mhango Grace , Lin Jenny 
Published: November 2021

Abstract
Introduction: Advances in breast cancer (BC) diagnosis and treatment have increased the number of long-term survivors. Consequently, survivors of primary BC are at a greater risk of developing second primary cancers (SPCs). The risk factors for SPCs among BC survivors including sociodemographic, cancer treatment, comorbidities, and other medications have not been comprehensively examined. The purpose of this study is to assess the incidence and clinicopathologic factors associated with risk of SPCs. Methods: We analyzed 170, 639 women with early-stage primary BC diagnosed between January 2000-December 2015 from the Medicare-linked Surveillance Epidemiology and End Results (SEER-Medicare) database. SPC was defined as any diagnosis of malignancy occurring within the study period and at least two months after primary BC diagnosis. Univariate analyses compared baseline characteristics between those who developed a SPC and those who did not. We evaluated the cause-specific hazard of developing a SPC in the presence of death as a competing risk.Results: Of the study cohort, 20,838 (12%) of BC survivors developed a SPC and BC was the most common SPC type (32%). The median time to SPC was 42 months. Women who were white, older, and with fewer comorbidities were more likely to develop a SPC. While statins [hazard ratio (HR) 1.060 (1.016 - 1.106)] and anti-hypertensives [HR 1.517 (1.461 – 1.575)] increased the hazard of developing a SPC, aromatase inhibitor therapy [HR 0.588 (0.542 – 0.638)] and bisphosphonates [HR 0.897 (0.848 – 0.949)] were associated with a decreased hazard of developing any SPC, including non-breast SPCs.Conclusion: Our study shows that specific clinical factors including type of cancer treatment, medications, and comorbidities are associated with increased risk for the development of SPCs among older BC survivors. These results can increase patient and clinician awareness, target cancer screening among BC survivors, as well as developing risk-adapted management strategies.
Integrative Bioinformatics Analysis Reveals miR-524-5p/MEF2C Regulates Bone Metastasis in Prostate Cancer and Breast Cancer
Authors: Tian Qinghua , Lu Yingying , Yan Bicong , Wu Chun-gen 
Published: November 2021

Abstract
Background

Bone metastases are high prevalence in advanced prostate cancer and breast cancer patients, which have a serious impact on the quality of life and survival time of patients. Abnormal expression of microRNAs (miRNAs) has been reported in different types of cancer and metastasis. However, the underlying miRNAs associated with prostate and breast cancer bone metastasis remains unknown.
Methods

We performed bioinformatics analysis for TCGA cohort to identify differentially expressed miRNAs (DE-miRNAs) and their targets in the metastatic process.
Results

QPCR confirmed that miR-524-5p expression was down-regulated in prostate and breast cancer cell. And miR-524-5p over-expression restrained cell proliferation, invasion and metastasis ability in prostate and breast cancer. Meanwhile, miR-524-5p specifically targeting MEF2C was verified by luciferase assay.
Conclusions

In conclusion, our data strongly suggests down-regulation of miR-524-5p appears as a precocious event in prostate and breast cancer, and MEF2C emerges as a new player in prostate and breast cancer bone metastasis.
Percutaneous Revascularization for Atherosclerotic Renal Artery Stenosis: a Meta-analysis
Authors: Li Yu , Cui Wenhao , Wang Jukun , Song Jipeng , Chen Xin , Zhang Chao , Zhu Linzhong , Cui Shijun , Luo Tao 
Published: November 2021

Abstract
Objective: This study aimed to investigate whether percutaneous revascularization (PR) was as effective and safe as medication therapy alone in patients with atherosclerotic renal artery stenosis (ARAS).Methods: We searched Embase, PubMed, and the Cochrane Library databases from their inception to July 31, 2021. We included randomized controlled trials (RCTs) reporting PR for ARAS. RevMan 5.3 was employed to conduct the analysis.Results: Of 469 screened studies, 9 were included in our study. A total of 2433 patients with ARAS were recorded. The results demonstrated that PR and medication had a similar antihypertensive effect on both systolic [mean difference (MD)= 0.37, 95% CI: -1.37 to 2.11, p= 0.68] and diastolic blood pressure (MD= -0.75, 95% CI: -2.84 to 1.34, p= 0.48). Meanwhile, there were no differences in all-cause mortality [risk ratio (RR) = 0.90, 95% CI: 0.74-1.10, p=0.31)], stroke (RR = 0.81, 95% CI: 0.53-1.98, p=0.32), congestive heart failure (RR = 0.89, 95% CI: 0.70-1.14, p= 0.36), and periprocedural complications (RR = 0.89, 95% CI: 0.72-1.10, p=0.28).Conclusions: The results revealed that PR was as effective and safe as medication therapy alone in patients with ARAS.
Phylogenetic Analysis and Searching Bovine Papillomaviruses in Teat Papillomatosis Cases in Cattle by Histopathological, Immunohistochemical and Transmission Electron Microscopy Methods
Authors: Yildirim Yakup , Kale Mehmet , Özmen Özlem , Çağırgan Abdurrahman Anıl , Hasırcıoğlu Sibel , Küçük Ali , Usta Ayşegül , Sökel Sevinç 
Published: November 2021

Abstract
Papillomaviruses are epitheliotropic viruses causing proliferations in skin, mucosa and various internal organs in different animal species. Especially due to lesions it causes in teats of cattle, it leads to important economical losses in milk sector. In this study, the aim was to diagnose bovine papillomaviruses (BPVs) causing teat papillomas in cattle by immunohistochemical, transmission electron microscopy (TEM) and molecular methods and to detect the defect on tissues by the virus using histopathological method. In addition to this, sequence analysis of the isolated field strains were to be carried out and their genetic and phylogenetic closeness with the strains within the literature were to be detected. After confirming teat papillomatosis in the collected samples using histopathological and immunohistochemical methods, other diagnosis methods were then used. During the TEM examination of teat lesions, intranuclear virus particles were seen in epithelium cells. After carrying out PCR using degenerate primers and type specific primers, 7 samples were detected as positive for BPV and these samples were used for typing using sequence analysis/PCR with type-specific primers. Within these analysis, three out of seven BPV isolates we collected from infected teat tissues of different cattle were detected as BPV-6, two as BPV-10, one as BPV-2 and one as BPV-8. Five isolates we isolated during sequence analysis of positive samples were found in Xipapillomavirus 1 genus, one in Epsilonpapillomavirus 1 genus and another in Deltapapillomavirus genus. As a result, in molecular diagnosis of BPV that takes place in etiology of teat papillomas, using type specific primers proved to be useful following the usage of genotyping in molecular diagnosis of BPV and generate primers in characterization. Detecting BPV types and their prevalence, taking biosafety measures in animal breeding and giving importance to vaccine studies was considered essential.
A New Method for Establishing Operative Channels in Unilateral Biportal Endoscopic Surgery: Technical Notes and Preliminary Results
Authors: Dai Jun , Liu Xiao-feng , Wang Qian-liang , Peng Yu-jian , Zhang Qian-zhong-yi , Yan Jun 
Published: November 2021

Abstract
Background

At present, there are no new method for establishing operative channels for the unilateral biportal endoscopic(UBE)system.
Objective

This paper describes a new method for establishing operative channels in UBE surgery. Meanwhile, we assessed the preliminary efficacy of unilateral biportal endoscopic discectomy (UBED) in treating degenerative disc disease.
Methods

We retrospectively reviewed 52 patients who underwent UBED from February 2020 to August 2020 via our new method. The Oswestry Disability Index (ODI) and visual analogue scale (VAS) score were measured preoperatively and 1 month, 3 months, 6 months and 12 months postoperatively. Repeated measures one-way analysis of variance (RM-ANOVA) was performed to compare the pre-and postoperative VAS scores and ODIs. Post hoc pairwise comparisons (paired t-tests) was used to compare the postoperative VAS scores and ODIs.
Results

The postoperative ODIs and VAS scores of low back pain and leg pain were significantly lower than those before surgery, and differences were statistically significant (all p < 0.05). Further pairwise comparisons brought out significant differences in the ODI at each time point after surgery (all p < 0.008). Significant differences were found in the VAS score of leg pain between 1 month and 6 months, 1 month and 12 months, and 3 months and 12 months (all p < 0.008). Pairwise comparisons in the VAS score of back pain between 1 month and 12 months differences (p < 0.008).
Conclusion

The modified channel establishment can provide a clear field of view in UBE surgery. UBED can yield a satisfactory curative effect in treating degenerative disc disease.
Complementary feeding hygiene practice and associated factors among mothers with children aged 6–24 months in tegedie district, Northwest Ethiopia: Community-based cross-sectional study
Authors: mersha Habtam AYENEW , yallew walelegn worku , azanaw Jember , Tadege Gardew , zeleke Agerie mengistie 
Published: November 2021

Abstract
IntroductionHygienic practice of mothers during complementary feeding is crucial in the protection of vulnerable infants and children aged 6–24 months from childhood communicable diseases like diarrheal and malnutrition. However, sufficient evidence on hygienic practice of mothers during complementary feeding and its associated factors is limited.ObjectiveTo determine the levels of complementary feeding hygiene practice and its associated factors among mothers of children aged 6–24 months in Tegedie district, northwest Ethiopia.MethodsA community-based cross-sectional study was conducted from March 17 to April 17, 2021, among 576 mothers with children aged 6-24 months in Tegedie district northwest Ethiopia. A multistage sampling technique was used to select the study participants. Data were collected using an interviewer-administered structured questionnaire and it entered into Epi-data version 4.6, and exported to SPSS version 20.0 for data cleaning and further analysis. Bivariate and multivariable binary logistic regressions analysis were employed to identify predictors of complementary feeding hygiene practice with p-value < 0.25 enter into the multivariable logistic regression model. Then variables with p-value ≤ 0.05 in multivariable logistic regressions were considered as statistically significance.ResultsThe prevalence of hygienic practice during complementary feeding of their children aged 6-24 months was, 33.6% with 95% CI: (29.7%, 37.6%) of them had good practice. Living in urban areas [AOR= 7.02, 95% CI: (4.14, 11.88)], presence of hand washing facility near the latrine [AOR= 3.02, 95% CI: (1.18, 7.70)], presence of separate area to store raw and cooked foods [AOR= 5.87, 95% CI: (2.84, 12.13)] and presence of three-compartment dishwashing system [AOR= 5.70, 95% CI: (3.41, 9.54)] were significant predictors of hygienic complementary feeding practice.Conclusion and recommendationThe prevalence of good hygienic practice during complementary feeding among mothers was still low; the district health office and health extension workers should work to improve the maternal hygienic practices during complementary feeding practice.
Invoices Classification Using Deep Features Based on SME Perspectives
Authors: Azman Nurul Akmar , Mohamed Azlinah , Jamil Amsyar Mohmad 
Published: November 2021

Abstract
Automation is seen as a potential alternative in improving productivity in the twenty-first century. Invoicing is the essential foundation of accounting record keeping and serves as a critical foundation for law enforcement inspections by auditing agencies and tax authorities. With the rise of artificial intelligence, automated record keeping systems are becoming more widespread in major organizations, allowing them to do tasks in real time and with no effort as well as a decision-making tool. Despite the system's benefits, many small and medium-sized businesses, particularly in Malaysia, are hesitant to implement it. Invoices are mostly processed manually that prone to human errors and lower productivity of the company. Artificial intelligence will further improve automated invoice handling making it simpler and efficient for all levels of businesses especially the small and medium enterprise This study presents a deep learning approach on record keeping focusing on invoices recognition by detecting invoice image classification. The deep learning model used in this research including the classic architecture of Convolutional Neural Network and its other variation such as VGG-16, VGG-19 and ResNet-50. Besides that, the constrains and expectation of the system to be implemented in small and medium enterprise in Malaysia are also presented in the interview scores. The research highlighted a comparison result between deep learning model and the perspective of SME presented in the discussion section. ResNet-50 shows a significant value in both training and validation accuracy compared to the other models with 95.90% accuracy in training and 74.24% accuracy for validation data. Future work will look at the suggested other deep learning method and intelligence features to be implemented for a more efficient invoices recognition and for small and medium enterprise.
Exclusive breastfeeding rate and related factors among mothers within maternal health WeChat groups in Jiaxing, Zhejiang province, China: A cross-sectional survey
Authors: Fu Chun Y. , Tang Xue J. , Pan Ling P. , Jin Hai Y. , Yao Juan F. , Wang Li-Zhong 
Published: November 2021

Abstract
Background

The benefits of exclusive breastfeeding (EBF) in the first six months are well recognized, but the EBF rate is still lower in China. WeChat, a most widely used communication application in China, is now used for maternal health education and management in Jiaxing, Zhejiang province, China. The aim of this study was to assess the EBF rate and its associated factors among the mothers within the maternal health WeChat groups.
Methods

This was a cross-sectional survey on healthy mothers with infants aged 7-12 months from seven maternal health WeChat groups in Jiaxing, China. Data including breastfeeding practice in the first six months, maternal sociodemographic and obstetric characteristics, hospitalization information, work related factors and reasons for non-EBF were collected using an online self-administered questionnaire in October 2021. A multivariable logistic regression analysis was performed to identify the factors independently associated with EBF in the first six months.
Results

A total of 822 mothers were included in this study. Among them, 586 mothers exclusively breastfed their infants until six months with a EBF rate of 71.3%. Multivariable logistic regression analysis indicated that maternal age (adjusted odds ratio, AOR: 0.948, 95% CI: 0.909-0.990) and perceived insufficient breast milk (AOR: 0.104, 95%CI: 0.072-0.150) were negatively associated with EBF, while EBF during hospitalization was positively associated with EBF within six months (AOR: 2.889, 95% CI: 2.014-4.143). The five of common reasons for non-EBF were no or insufficient breast milk (59.8%), return to work (23.9%), no flexible nursing breaks at work (18.2 %), infant crying or feeling tired or troubled with breastfeeding (9.7%), and nipple and breast problems (9.3%).
Conclusion

The EBF rate is higher among the mothers within maternal health WeChat groups. WeChat group model can be used to be a cost-effective and useful measure to promote EBF in China. However, perceived insufficient breast milk and work related factors are still the main barriers to EBF in this setting.
Comparison of Clinical, Radiological and Laboratory Findings in Discharged and Dead Patients With COVID-19 in Ilam Province, West of Iran
Authors: Kaffashian Mohammad Reza , Shirani Maryam , Koupaei Maryam , Sadeghifard Nourkhoda , Ahmadi Iraj , Mozafari Ali Ashraf , Nazari Ali , Heidary Mohsen , Khoshnood Saeed 
Published: November 2021

Abstract
Objective: COVID-19 is the last global threat which WHO confirmed it as a pandemic on March 11, 2020. In the Middle East, Iran was the first country where the SARS-Cov-2 was detected. The epidemiological and economic challenges of Iran make this country a particularly relevant subject of study. In the current study, we aimed to evaluate the clinical, radiological and laboratory findings in hospitalized COVID-19 confirmed cases in Ilam province, west of Iran.Material and methods:Overall, 2204 hospitalized RT-PCR confirmed patients with COVID-19 were considered in this study. Electronic medical records, including clinical symptoms, radiological images, laboratory findings, and the comorbidities of patients with COVID-19 were collected and analyzed. In addition, the medication regimens used in these patients were evaluated. The patients were classified in discharged and died groups according to their outcomes. Then, clinical, radiological and laboratory findings as well as treatment regimens and underlying diseases were compared in these two groups.Results:Among the patients, 1209 (54.85%) were male and 995 (45.14%) were female. Pneumonia, dyspnea and cough, were the most common clinical data in both discharged and died groups. Among the comorbidities, COPD, and cancer were significantly more common in the dead patients than in the living. The results of laboratory tests showed that blood creatinine, BUN, ESR, Na+, WBC, and neutrophil count have increased in deceased group compared to the survivors. However, the lymphocyte count decreased in deceased patients. The evaluation of radiographs demonstrated that there were significant correlations between bilateral pneumonia, ground glass opacity, bilateral patchy shadowing, and pleural effusion with death. Conclusion:The current investigation indicated the special profile of COVID-19 in west of Iran. Discharged and dead patients with COVID-19 had distinct clinical, radiological and laboratory features, which were separated by principle component analysis. Identifying these characteristics of the disease would translate into the implementation of practical measures to improve results.