bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of Relationship Between Dry Eye and Expressions of CXCR3 and CCR5 After Ocular Acid Burn
Authors: Jiang Bo , Hu Qianqian , Li Tao , She Man , Zhou Xiaodong 
Published: December 2021

Abstract
Objective

To investigate the manifestation of dry eye and its relationship with CXCR3 and CCR5 expression in patients with ocular acid burns.
Methods

This is a case-control study. A total of 27 eyes of 22 cases ocular with acid burns of I-V degrees from Jan.2020 to Feb.2021 in this hospital were selected as observation group, and 8 eyes of 8 cases of normal people were selected as control group. The followed up time was 3 months. The visual acuity, intraocular pressure, BUT, Schirmer Ⅰ test, corneal thickness and tear meniscus height (TMH) were observed at 1 day, 1 and 3 months after injury. The protein expression of CXCR3 and CCR5 were examined by ELISA and were compared among groups at each time point.
Results

BUT and Schirmer I tests value in the observation group were lower than those in the control group 3 months after injury (all p < 0.05). The corneal thickness and the tear meniscus height 1 day after injury were higher than those in the control group (p < 0.05), and also higher than those at 1 month and 3 months after injury (p < 0.05). The expression levels of CXCR3 and CCR5 protein were significantly negatively correlated with BUT (p < 0.05), and CXCR3 and CCR5 were also significantly negatively correlated with Schirmer I test value (p < 0.05).
Conclusion

Ocular acid burns can cause dry eye, and the expression of CXCR3 and CCR5 protein in tears may be related to the occurrence of dry eye after ocular acid burn.
Association Between Statin use and Chronic Periodontitis: A Longitudinal Follow-Up Study using Korean National Health Screening Cohort
Authors: Kwon Mi Jung , Byun Soo-Hwan , Kim Joo-Hee , Kim Ji Hee , Kim Se Hoon , Kim Nan Young , Park Hye-Rim , Choi Hyo Geun 
Published: December 2021

Abstract
Background: Since potential link between statin and the risk of adverse chronic periodontitis (CP) has been raised, we aimed to validate the associations of statin use on the incidence of CP using a nationwide cohort data. Methods: This longitudinal follow-up study included 169,381 patients who were administered statins matched with an equal number of controls using propensity score from the Korean National Health Insurance Service-Health Screening Cohort database (2002–2015). A Cox proportional hazard model was used to assess the occurrence of CP following statin use after adjusting for multiple covariates.Results: The occurrence of CP was significantly higher with long-term use (1–3 years, 3–5 years, or >5 years) than with short-term use (≤1 year). After adjustment, statin users exhibited a 1.32-fold higher occurrence of CP (95% confidence interval=1.30–1.33) than the matched non-users (incidence: 25.0 and 22.0 per 100 person-years, respectively). Subgroup analyses supported the adverse impact of statins on CP independent of age and sex.Conclusions: Statin use in individuals aged >40 years, of both sexes, may slightly increase the risk of occurrence of CP, especially with long-term use, warranting a caution regarding the onset of CP as a possible adverse effect of long-term statin use.
The prognostic role of inflammatory markers in COVID 19 patients – A retrospective analysis.
Authors: Gopalakrishnan Shivkumar , kandasamy sangeetha , S.Malini  , Mohamed S.Peer , k.velmurugan  
Published: December 2021

Abstract
Background. Approximately 5% of COVID-19 patients suffer near fatal disease. Clinical and radiologic features may predict severe disease albeit with limited specificity and radiation hazard. Laboratory biomarkers are eyed as simple, specific and point of care triage tools to optimize management decisions.This study aimed to study the role of inflammatory markers in prognosticating COVID-19 patients.Methodology. A hospital based retrospective study was conducted on COVID-19 adult inpatients classified into three groups as mild disease-recovered [Group I], severe disease-recovered [Group II] and dead [Group III]. Categorical outcomes were compared using Chi square test. Univariate binary logistic regression analysis was performed to test the association between the explanatory and outcome variables. Unadjusted OR along with 95% CI was calculated. The utility of lab parameters (Ferritin, LDH, D dimer, N/L ratio and PLT/L ratio) in predicting severity of COVID-19 was assessed by Receiver Operative Curve (ROC) analysis. P value < 0.05 was considered statistically significant.Results. The mean age was 49.32 +/- 17.1 years. Among study population, 378 were Group I, 66 Group II, and 56 Group III. Median levels of Ferritin among the 3 groups were 62ng/mL, 388.50 ng/mL and 1199.50 ng/mL. Median value of LDH were 95U/L, 720 and 982.50(p <0.001). D-dimer values of 3 groups were 23.20ng/mL, 104.30 ng/mL and 197.10 ng/mL (p <0.001). CRP done qualitatively was positive in 2 (0.53%), 30 (45.45%) and 53 (94.64%) of patients. The odds of patients suffering severe COVID-19 rose with rising values of ferritin, LDH and D-dimer [unadjusted OR 1.007, 1.004 &1.020]Conclusion. One time measurement of serum ferritin, LDH, D-dimer and CRP is promising to predict outcomes for COVID 19 inpatients. Single qualitative CRP was equally good but more cost effective than quantitative CRP. The most specific combination was NLR, Lymphocyte percentage and D-dimer levels done between 7th – 10th day of symptoms.
On the Development of an Information System for Monitoring User Opinion and its Role for the Public
Authors: Karyukin Vladislav , Mutanov Galimkair , Mamykova Zhanl , Nassimova Gulnar , Torekul Saule , Sundetova Zhanerke , Negri Matteo 
Published: December 2021

Abstract
Social media services and analytics platforms are rapidly growing. A large number of various events happen mostly every day, and the role of social media monitoring tools is also increasing. Social networks are widely used for managing and promoting brands and different services. Thus, most popular social analytics platforms aim for business purposes while monitoring various social, economic, and political problems remains underrepresented and not covered by thorough research. Moreover, most of them focus on resource-rich languages such as the English language, whereas texts and comments in other low-resource languages such as the Russian and Kazakh languages in social media are not represented well enough. So, this work is devoted to developing and applying the information system called the OMSystem for analyzing users’ opinions on news portals, blogs, and social networks in Kazakhstan. The system uses sentiment dictionaries of the Russian and Kazakh languages and machine learning algorithms to determine the sentiment of social media texts. The whole structure and functionalities of the system are also presented. In the experimental part, the system’s monitoring of the healthcare, political and social aspects of the most relevant topics connected with the vaccination against the coronavirus disease are thoroughly observed and analyzed. The analysis allowed discovering the public social mood in the cities of Almaty and Nur-Sultan and other large regional cities of Kazakhstan. The system’s study included two extensive periods: 10-01-2021 to 30-05-2021 and 01-07-2021 to 12-08-2021. In the obtained results, people’s mood and attitude to the Government’s policies and actions were studied by such social network indicators as the level of topic discussion activity in society, the level of interest in the topic in society, and the mood level of society. These indicators calculated by the OMSystem allowed careful identification of alarming factors of the public (negative attitude to the government regulations, vaccination policies, trust to vaccination, etc.) and assessment of the social mood.
COVID-19 vaccination uptake strongly predicts averted deaths of older people across Europe
Authors: Mattiuzzi Camilla , Henry Brandon M. , Lippi Giuseppe 
Published: December 2021

Abstract
Background: Nationwide COVID-19 (coronavirus disease 2019) vaccination campaigns have been effective to avert as many as 51% deaths in people aged ≥60 years in the European region between December 2020 and November 2021, though broad heterogeneity has been observed in the percentage of averted deaths across the different European countries. Methods: We downloaded data of vaccine uptake and efficacy into an Excel Worksheet, and we then performed univariate (Spearman’s correlation) and multivariate (multiple linear regression analysis) correlations.Results: A significant linear association was found between the percentage of averted deaths of older people and percentage of vaccine uptake in each corresponding European country (Spearman’s correlation: r=0.872; p<0.001), though such relationship was even better fitted by using an exponential curve (r=0.881; p<0.001). In multiple linear regression analysis, the percentage of deaths averted by COVID-19 vaccination remained independently associated with vaccine uptake (p<0.001), but not with the type of vaccine administered (p=0.264).Conclusions: The results of analysis support the foremost importance of reinforcing nationwide COVID-19 vaccination campaigns, especially in those countries where vaccination programmes have been less successful.
Screening for hepatocellular carcinoma in chronic liver disease: A systematic review and meta-analysis of randomized controlled trials comparing screening methodologies
Authors: O'Connell James 
Published: December 2021

Abstract
BackgroundHepatocellular carcinoma (HCC) is the 5th most prevalent cancer and the second most common cause of cancer-related mortality worldwide. HCC is often asymptomatic until an advanced stage. Current guidelines recommend ultrasound surveillance with or without measurement of serum alpha-fetoprotein. Our objective was to determine if screening for HCC is beneficial or harmful in patients with chronic liver disease. Primary outcomes were all-cause mortality and quality of life. Secondary outcomes were mortality due to HCC, the number of cases of HCC detected and adverse events.MethodsThis is a systematic review and meta-analysis of data from randomized controlled trials. To be included trials had to randomize patients to either an HCC screening group or non-screening group, randomize patients to different screening frequencies or randomize patients to different screening methods. All published reports of randomized trials on screening for HCC were eligible for inclusion, irrespective of the language of publication. Studies had to include patients with chronic liver disease. Data extraction and analysis were performed independently by two reviewers.ResultsWhen screening with six-monthly alpha-fetoprotein and ultrasound abdomen was compared to no screening there was no evidence of difference in HCC related mortality when adjusted for clustering across a range of intracluster correlation coefficients (Intracluster coefficient (ICC) 0.02, odds ratio (OR) 0.60, 95% confidence interval (CI) 0.31-1.15). Screening with six-monthly alpha-fetoprotein when compared to a single alpha-fetoprotein check did not result in a statistically significant difference in all-cause mortality (OR 1.02, 95% confidence interval (CI) 0.65-1.60), mortality due to HCC (OR 1.01, 95% CI 0.57-1.78) or the number of HCC detected (OR 1.11 95% CI 0.64-1.92). There was no evidence of difference in all-cause mortality (OR 0.81, 95% CI 0.26-2.53), mortality due to hepatocellular carcinoma (OR 0.81, 95% CI 0.26-2.53) or the number of patients with HCC detected (OR 1.09 95% CI 0.40-2.99) when twice-a-year ultrasound was compared with annual CT. There was no statistically significant difference when screening more frequently was compared to less frequently in terms of all-cause mortality (OR 0.86, 95% CI 0.56-1.32), mortality due to hepatocellular carcinoma (OR 1.42, 95% CI 0.55-3.64) and the number of cases of hepatocellular carcinoma detected (OR 0.90 95% CI 0.47-1.71).ConclusionsThere is currently insufficient evidence from randomized controlled trials to support the routine screening for HCC in patients with chronic liver disease.
Roaming Dogs in Ushuaia City, Tierra Del Fuego, Argentina. How Many and Why
Authors: Arona Emiliano , Schiavini Adrián 
Published: December 2021

Abstract
Free roaming dogs (FRD) in cities represent an increasing problem. Authorities need numbers of FRDs to evaluate policies implemented and to monitor the dog population. We estimated the number of FRD in Ushuaia city, Argentina, using a photographic capture-recapture methodology. We estimated an abundance index, the power to detect changes in the index, and modeled factors that may explain the spatial distribution of FRD and their welfare status. During three surveys, covering 72 transects along streets (9.9% of the street layout of Ushuaia), we recorded 539 different FRDs. A model with individual heterogeneity in capture-recapture probability gave 12,797 FRDs (95% CI 10,979 − 15,323), reflecting a dog:human relation of 1:6, higher than the relation recommended by the WHO. The abundance index was similar between surveys (8.13 ± 1.36, 8.38 ± 1.46 and 9.55 ± 1.28 dogs/km). The difference needed to detect changes in the index is about twice the standard error of estimates. The best model explaining dogs’ abundance included only geographical location, although two neighbourhoods with 9 transects stand out with 181 different FRDs identified. Together with the good overall dogs’ welfare status, modeling suggests that the behavior of owners is the main driver for the presence of FRDs. We recommend the use of photographic capture-recapture methodologies instead of simple index estimation, due to the small additional effort required and the improved accuracy and precision obtained. We also recommend a permanent systematic design for future surveys, increase the number of survey occasions, and improve the survey process.
Peculiar Histopathological Alterations of Enterocytes in a Patient Co-infected with Severe Acute Respiratory Syndrome Coronavirus 2 and Mycobacterium Tuberculosis: A Case Study
Authors: AL-Zaidi Rana , AL-Noor Nasir , Habbash Adel 
Published: December 2021

Abstract
The ongoing novel coronavirus disease 2019 (COVID-19) is principally defined by its respiratory symptoms. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can affect the gastrointestinal tract (GIT) and although the pathogenesis of COVID-19 is understood, the exact pathological alterations following infection require further investigation. Here, we report our histopathological findings from a right hemicolectomy specimen from a patient coinfected with COVID-19 and Mycobacterium tuberculosis. Our observations showed that the novel SARS-CoV-2 can affect the GIT, causing epithelial injury and pathological alterations attributed to its ability to infect absorptive enterocytes by interacting with the angiotensin converting enzyme-2 (ACE2) receptor. These pathological findings are regarded as viral cytopathic changes and should be considered when evaluating gastrointestinal specimens from COVID-19-infected patients.
Policy Uncertainty, Economic Activity And Carbon Emissions: A Nonlinear Autoregressive Distributed Lag Approach
Authors: Ashena Malihe , Shahpari Ghazal 
Published: December 2021

Abstract
Over the last few years, economic uncertainty has become a global concern. Not only has its impact on economic activities, but there are pieces of evidence that show uncertainty can be the reason for CO2 emissions. It is also expected that the economic policy uncertainty may decrease or delay economic production, which may lead to a reduction in carbon emissions. Furthermore, uncertainty may decrease friendly environment policies and budgets, which cause increase in carbon emissions. Thus, there may be an asymmetric relationship between economic uncertainty and the amount of CO2 emissions. This study investigates the effects of economic policy uncertainty and economic activity on carbon emission applying a Nonlinear Autoregressive Distributive Lag (NARDL) cointegration approach in Iran between 1971 and 2018. Findings show that both policy uncertainty and economic growth contribute to CO2 emissions. The negative and positive shocks of GDP and uncertainty index on CO2 emissions in both the short-run and long-run are significant. It can be concluded that there is an asymmetric effect of economic production on CO2 emissions in Iran. The results of analyzing asymmetric effects of economic uncertainty show a symmetric relationship between uncertainty index and CO2 emissions. In a way that a shock in uncertainty index lowers carbon emission. To sum up, since uncertainty may affect the analysis of carbon emissions incorrectly, some environmental policies such as allocating a budget for R&D on clean energy, and environmental taxes must be implemented.
GLRX5 as a Differential Diagnosis Marker for Kashin-Beck Disease and Osteoarthritis and Its Clinical Significance
Authors: Wang Qinglong , Zhao Zhe , Wang Wantao , Huang Zhipeng , Wang Wenbo 
Published: December 2021

Abstract
Background: Kashin-Beck disease (KBD) is currently an endemic form of osteoarthritis. In this study, we explored novel KBD diagnostic biomarkers.Methods: The GSE59446 dataset was used to conduct Weighted Gene Co-expression Network Analysis (WGCNA) and differentially expressed genes (DEGs) analysis with peripheral blood samples of 100 healthy individuals and 100 KBD patients. As part of the gene ontology pathway enrichment analysis, genes related to SONFH and DEGs were selected from the extraction module. Then, central DEGs were selected for LASSO analysis, and, based on SVM-RFE and DEG results, overlapping genes were identified as key KBD genes. Next, we analyzed the correlations between the selected genes and age, gender, and other factors to eliminate their influences on gene expression. Finally, we evaluated the diagnostic value of key KBD genes using case information collected by us.Results: Seven gene co-expression modules were created using WGCNA. The turquoise module was identified as a KBD key module since it showed the highest correlation to KBD. The functional enrichment analysis revealed that the genes associated with this key module were mainly involved in mitochondrial reactions, protein heterooligomerization, and negatively regulating cysteine-type endopeptidase-dependent apoptotic processes. Additionally, 12 key genes were identified using the LASSO analysis, 5 major genes using SVM-RFE analysis, and 36 DEGs were screened through the "limma" R package. The GLRX5 gene - pivotal in DEGs, LASSO, and SVM-RFE - was further aggregated as the key KBD gene. Correlation analyses confirmed the GLRX5 diagnostic value for KBD and that it was not related to age, gender, and other factors. Finally, data from our patients demonstrated that GLRX5 can be a KBD diagnostic biomarker.Conclusions: We demonstrated that the target gene GLRX5 can be a KBD non-invasive diagnosis biomarker.
A Novel Framework for Urban Flood Damage Assessment
Authors: Yavari Fatemeh , Neyshabouri Seyyed Ali Akbar Salehi , Yazdi Jafar , molajou amir 
Published: December 2021

Abstract
The study of non-stationary effects of hydrological time series and land-use changes in urban areas is essential to predict future floods and their probable damage. In the current study, a novel method was proposed for analyzing their simultaneous impact. For this purpose, rainfall frequency and land-use changes analyses were conducted for two different long-term periods, and the results were compared. Then, hydrologic modeling of the catchment was carried out using the HEC-HMS model, and obtained hydrographs were fed to the HEC-RAS2D model for estimating flood inundation areas. Using the economic information of assets and their damage functions, flood damages related to these two periods were evaluated through the HEC-FIA model. The results indicated that in the low return periods (e.g., 2-year flood), the damage in the second period was increased with respect to the first one but increased for the return periods of 5 to 100 years. Furthermore, surface runoff showed a 4.65% increase due to land-use change and a 12% increase due to rainfall non-stationarity. Moreover, flood damage showed a 136% increase on average, and among the two studied factors, the non-stationarity of rainfalls is considerably more effective on flood intensification.
Overview of the Russian market of herbal products
Authors: Safonova Natalia V. , Trofimova Elena O. 
Published: December 2021

Introduction. In the Russian pharmaceutical market, there is the following situation: herbal medicinal products (HMP) and dietary supplements based on plant raw materials (DS) have similar compositions, dosage forms and scope of application. They’re often considered analogues by consumers and specialists, which indicates the existence of common market for these products.Research aim is to investigate the state and development trends of the Russian HMP and DS market, assessing positions of foreign and domestic companies and general prospects for this market as well.Methodology. The study was conducted using IQVIA retail audit database, official sources of information on HMP and DS registration. In the market analysis the products were classified depending on the scope of application, composition and preparation methods, and dosage forms as well.Results. In 2020 pharmacy of HMP and DS sales amounted to 435.4 million units valued at 51.3 billion rubles in wholesale prices. Beginning with 2016, the average annual growth rate corresponded to 4.2%, in value terms. However, in volume terms, the sales were reduced in the average by 3.4% per year (due to cheap domestic medicines). The main part of the entire market comprises HMP (80% in units and 74% in value terms in 2020). The products, affecting respiratory system, genitourinary sphere, and digestion, provide more than three-quarters of all sales in value terms. More than half of the market is occupied by total extractive drugs. Solid dosage forms (tablets and capsules) account for half of the sales, plant raw materials and fees constitute more than one third. In 2020, Russian companies provided 28% of the sales of HMP and 67% of DS in value terms. In the context of the main segments, the market structure in 2016-2020 remained fairly stable.Conclusion. In the future, the market dynamics in value terms will be determined considering by household income and the epidemiological situation. In units, HMP sales will continue to decline through the unprofitable positions of the traditional domestic drug assortment. The increasing strictness of legislation requirements for the market of dietary supplements may contribute to investment in the development of HMP that are competitive to foreign products in terms of quality and consumer characteristics.