bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of applying blended learning based on the ADDIE model in nursing staff training on improving theoretical and practical operational aspects
Authors: Luo Runfen , Li Jing , Zhang Xiaoni , Tian Dan , Zhang Yi 
Published: June 2024

ObjectiveTo assess the impact of blended learning, based on the ADDIE model, on theoretical and practical aspects of nursing staff training.MethodsRetrospective analysis of data from 87 nursing staff members in Xi’an Qinhuang Hospital divided into control (n = 43) and observation (n = 44) groups. The control group received conventional training, while the observation group underwent blended learning. Comparative analysis included theoretical knowledge, practical skills, self-directed learning, critical thinking, and teaching satisfaction.ResultsThe observation group showed significantly higher theoretical knowledge, practical skills, self-directed learning, critical thinking, and teaching satisfaction compared to the control group (p &lt; 0.05).ConclusionBlended learning based on the ADDIE model enhances nursing staff training outcomes, improving theoretical knowledge, practical skills, self-directed learning, critical thinking, and teaching satisfaction. This approach presents a promising method for enhancing nursing education and warrants further implementation in clinical settings.
Diagnostic model for hepatocellular carcinoma using small extracellular vesicle-propagated miRNA signatures
Authors: Luo Xinyi , Jiao Lin , Guo Qin , Chen Yi , Wang Nian , Wen Yang , Song JiaJia , Chen Hao , Zhou Juan , Song Xingbo 
Published: June 2024

BackgroundHepatocellular carcinoma (HCC) is the most common type of liver cancer. Small extracellular vesicles (sEVs) are bilayer lipid membrane vesicles containing RNA that exhibit promising diagnostic and prognostic potential as cancer biomarkers.AimsTo establish a miRNA panel from peripheral blood for use as a noninvasive biomarker for the diagnosis of HCC.MethodssEVs obtained from plasma were profiled using high-throughput sequencing. The identified differential miRNA expression patterns were subsequently validated using quantitative real-time polymerase chain reaction analysis.ResultsThe random forest method identified ten distinct miRNAs distinguishing HCC plasma from non-HCC plasma. During validation, miR-140-3p (p = 0.0001) and miR-3200-3p (p = 0.0017) exhibited significant downregulation. Enrichment analysis uncovered a notable correlation between the target genes of these miRNAs and cancer development. Utilizing logistic regression, we developed a diagnostic model incorporating these validated miRNAs. Receiver operating characteristic (ROC) curve analysis revealed an area under the curve (AUC) of 0.951, with a sensitivity of 90.1% and specificity of 87.8%.ConclusionThese aberrantly expressed miRNAs delivered by sEVs potentially contribute to HCC pathology and may serve as diagnostic biomarkers for HCC.
Non-linear relationship between red blood cell distribution width and gastrointestinal bleeding risk in stroke patients: results from multi-center ICUs
Authors: Wu Zhanxing , Peng Ganggang , Chen Zhongqing , Xiao Xiaoyong , Huang Zhenhua 
Published: June 2024

BackgroundThe red blood cell distribution width (RDW) is closely linked to the prognosis of multiple diseases. However, the connection between RDW and gastrointestinal bleeding (GIB) in stroke patients is not well understood. This study aimed to clarify this association.MethodsThis retrospective study involved 11,107 hospitalized patients from 208 hospitals in the United States, admitted between January 1, 2014, and December 31, 2015. We examined clinical data from 7,512 stroke patients in the intensive care unit (ICU). Multivariate logistic regression assessed the link between RDW and in-hospital GIB in stroke patients. Generalized additive model (GAM) and smooth curve fitting (penalty spline method) were utilized to explore the non-linear relationship between RDW and GIB in stroke patients. The inflection point was calculated using a recursive algorithm, and interactions between different variables were assessed through subgroup analyses.ResultsAmong the 11,107 screened stroke patients, 7,512 were included in the primary analysis, with 190 identified as having GIB. The participants had a mean age of (61.67 ± 12.42) years, and a median RDW of 13.9%. Multiple logistic analysis revealed RDW as a risk factor for in-hospital GIB in stroke patients (OR = 1.28, 95% CI 1.21, 1.36, p &lt; 0.05). The relationship between RDW and in-hospital GIB in stroke patients was found to be non-linear. Additionally, the inflection point of RDW was 14.0%. When RDW was ≥14.0%, there was a positive association with the risk of GIB (OR: 1.24, 95% CI: 1.16, 1.33, p &lt; 0.0001). Conversely, when RDW was &lt;14.0%, this association was not significant (OR: 1.02, 95% CI: 0.97–1.07, p = 0.4040).ConclusionThis study showed a substantial non-linear link between RDW and the risk of GIB in stroke patients. Maintaining the patient’s RDW value below 14.0% could lower the risk of in-hospital GIB.
No genetic link between Parkinson’s disease and SARS-CoV-2 infection: a two-sample Mendelian randomization study
Authors: Hu Xiaohua , Li Yutong , Qu Hua , He Chunying , Chen Zhiyan , Zhan Min , Du Yida , Wang Huan , Chen Wenjie , Sun Linjuan , Ning Xia 
Published: June 2024

ObjectiveExisting literature has not clearly elucidated whether SARS-CoV-2 infection increases the incidence of Parkinson’s disease or if Parkinson’s disease patients are more susceptible to the effects of SARS-CoV-2 infection. To clarify the issue, this study employs a genetic epidemiological approach to investigate the association.MethodsThis study utilizes a two-sample Mendelian randomization analysis. The primary analysis employs the inverse variance-weighted (IVW) method, supplemented by secondary analyses including MR-Egger regression, weighted median, IVW radial method, and weighted mode, to evaluate the bidirectional causal relationship between Parkinson’s disease and SARS-CoV-2 infection.ResultsIVW results showed no genetic causality between SARS-CoV-2 susceptibility, hospitalization rate and severity and Parkinson’s disease. (IVW method: p = 0.408 OR = 1.10 95% CI: 0.87 ~ 1.39; p = 0.744 OR = 1.11 95% CI: 0.94 ~ 1.09; p = 0.436 OR = 1.05 95% CI: 0.93 ~ 1.17). Parkinson’s disease was not genetically associated with susceptibility to new crown infections, hospitalization rates, and severity (IVW method: p = 0.173 OR = 1.01 95% CI: 0.99 ~ 1.03; p = 0.109 OR = 1.05 95% CI: 0.99 ~ 1.12; p = 0.209 OR = 1.03 95% CI: 0.99 ~ 1.07). MR-Egger regression, weighted median, IVW radial method, and weighted mode results are consistent with the results of the IVW method.ConclusionThis study does not support a genetic link between Parkinson’s disease and SARS-CoV-2 infection, and the association observed in previous cohort studies and observational studies may be due to other confounding factors.
The relationship between obstructive sleep apnea and osteoarthritis: evidence from an observational and Mendelian randomization study
Authors: Yang Zhe , Lv Tian , Jin Linna , Lv Xiaoheng , Zhu Xiaoying , Wang Xiaoling , Zhang Lisan , Tu Chenghan , Chen Shiqin , Yan Xiongwei 
Published: June 2024

ObjectivesObstructive sleep apnea (OSA) and osteoarthritis (OA) are common comorbidities that significantly impact individuals’ quality of life. However, the relationship between OSA and OA remains unclear. This study aims to explore the connection between OSA and OA and evaluate causality using Mendelian randomization (MR).MethodsA total of 12,454 participants from the National Health and Nutrition Examination Survey (2009–2012) were included. OSA participants were identified based on self-reported interviews. The association between OA and OSA was assessed through multivariable logistic regression analysis. A two-sample MR was employed to investigate the relationship between OSA and OA, specifically hip OA and knee OA, utilizing the inverse variance-weighted (IVW) approach.ResultsBased on the observational study, individuals with OSA exhibited a higher risk of OA (OR = 1.67, 95% CI = 1.40–1.98). IVW demonstrated that the risk of OA (OR = 1.13, 95% CI: 1.05–1.21, p = 0.001), hip OA (OR = 1.11, 95% CI: 1.04–1.18, p = 0.002), and knee OA (OR = 1.08, 95% CI: 1.02–1.14, p = 0.005) was significantly associated with OSA. Reverse MR analyses indicated no effect of OA on OSA. Additionally, body mass index (BMI) was found to mediate 36.9% (95% CI, 4.64–73.2%, p = 0.026) of the OSA effects on OA risk.ConclusionThe cross-sectional observational analysis unveiled noteworthy associations between OSA and OA. Meanwhile, findings from the MR study provide support for a causal role.
Chronic periodontitis and risk of lung cancer: a nationwide cohort study
Authors: Kim Bo-Guen , Lee Hyun , Lee Sun-Kyung , Paik Sun Young , Yun Seo-Hyoung , Park Chang-Joo , Yeo Yoomi , Park Tai Sun , Moon Ji-Yong , Kim Tae-Hyung , Sohn Jang Won , Kim Sang-Heon , Yoon Ho Joo , Park Dong Won 
Published: June 2024

BackgroundThe impact of long-term chronic periodontal conditions on the risk of lung cancer could not be accurately evaluated. Our aim was to provide more evidence on the connection between chronic periodontitis (CP) and lung cancer using a nationwide dataset.MethodsThis study used data from the Korean National Health Insurance Service National Sample Cohort. We enrolled 72,658 individuals with CP (CP cohort) between 2005 and 2019 and 1:1 age- and sex-matched controls without CP (non-CP cohort).ResultsDuring the median follow-up period of 5.1 (interquartile range, 2.8–8.0) years, 0.56% (n = 405/72,658) of the CP cohort and 0.29% (n = 212/72,658) of the matched non-CP cohort developed lung cancer, with incidence rates of 8.3 and 4.5 per 10,000 person-years. The risk of incident lung cancer was significantly higher in the CP cohort than in the matched non-CP cohort (adjusted hazard ratio = 2.27, 95% confidence interval = 1.94–2.65). The risk of incident lung cancer was 2.45-fold and 2.10-fold higher in mild and moderate-to-severe CP cohorts than in the matched non-CP control. The risk of incident lung cancer was especially higher in the 40–59 age group, females, and never-smokers than their counterparts.ConclusionWe demonstrate that the risk of incident lung cancer is higher in individuals with CP than in those without. The risk of lung cancer was especially high in individuals with more severe CP, females, never-smokers, and obese populations.
Glycodeoxycholic acid as alternative treatment in 3β-hydroxy-Δ5-C27-steroid-oxidoreductase: a case report
Authors: Majait S. , Vaz F. M. , Kemper E. Marleen , Bootsma A. H. , Groen A. K. , Nieuwdorp M. , Soeters Maarten R. 
Published: June 2024

Background3β-hydroxy-Δ5-C27-steroid-oxidoreductase (3β-HSD) deficiency is a bile acid synthesis disorder that leads to the absence of normal primary bile acids and the accumulation of abnormal bile acids. This results in cholestatic jaundice, fat-soluble vitamin deficiency, acholic or fatty stools and failure to thrive. Bile acid supplementation is used to treat 3β-HSD-deficiency and its symptoms.MethodsThis report details the case of a 28-year-old woman diagnosed with 3β-HSD-deficiency, who was treated with glycine-conjugated deoxycholic acid (gDCA).ResultsgDCA treatment successfully restored normal bile acid levels, improved body weight by reducing fat malabsorption, and was well-tolerated with no observed liver problems or side effects.ConclusionsAs a potent FXR ligand, gDCA might exert its action through FXR activation leading to bile acid synthesis regulation.
A novel bioinformatics strategy to uncover the active ingredients and molecular mechanisms of Bai Shao in the treatment of non-alcoholic fatty liver disease
Authors: He Shuaibing , Chen Hantao , Yi Yanfeng , Hou Diandong , Fu Xuyan , Xie Jinlu , Zhang Juan , Liu Chongbin , Ru Xiaochen , Wang Juan 
Published: June 2024

Introduction: As a new discipline, network pharmacology has been widely used to disclose the material basis and mechanism of Traditional Chinese Medicine in recent years. However, numerous researches indicated that the material basis of TCMs identified based on network pharmacology was the mixtures of beneficial and harmful substances rather than the real material basis. In this work, taking the anti-NAFLD (non-alcoholic fatty liver disease) effect of Bai Shao (BS) as a case, we attempted to propose a novel bioinformatics strategy to uncover the material basis and mechanism of TCMs in a precise manner.Methods: In our previous studies, we have done a lot work to explore TCM-induced hepatoprotection. Here, by integrating our previous studies, we developed a novel computational pharmacology method to identify hepatoprotective ingredients from TCMs. Then the developed method was used to discover the material basis and mechanism of Bai Shao against Non-alcoholic fatty liver disease by combining with the techniques of molecular network, microarray data analysis, molecular docking, and molecular dynamics simulation. Finally, literature verification method was utilized to validate the findings.Results: A total of 12 ingredients were found to be associated with the anti-NAFLD effect of BS, including monoterpene glucosides, flavonoids, triterpenes, and phenolic acids. Further analysis found that IL1-β, IL6, and JUN would be the key targets. Interestingly, molecular docking and molecular dynamics simulation analysis showed that there indeed existed strong and stable binding affinity between the active ingredients and the key targets. In addition, a total of 23 NAFLD-related KEGG pathways were enriched. The major biological processes involved by these pathways including inflammation, apoptosis, lipid metabolism, and glucose metabolism. Of note, there was a great deal of evidence available in the literature to support the findings mentioned above, indicating that our method was reliable.Discussion: In summary, the contributions of this work can be summarized as two aspects as follows. Firstly, we systematically elucidated the material basis and mechanism of BS against NAFLD from multiple perspectives. These findings further enhanced the theoretical foundation of BS on NAFLD. Secondly, a novel computational pharmacology research strategy was proposed, which would assist network pharmacology to uncover the scientific connotation TCMs in a more precise manner.
Can sharing auditors with customers improve suppliers digital transformation?
Authors: Liu Xiaohui , Chen Yan 
Published: June 2024

IntroductionPromoting enterprises’ digital transformation is fundamental to implementing the digital China strategy and realizing high-quality development.MethodsTaking China’s A-share listed companies from 2007 to 2021 as a research sample, this study examines the impact of sharing auditors with customers on the digital transformation of suppliers.ResultsThe results show that sharing auditors with customers can promote suppliers’ digital transformation, and this promotion effect is stronger among suppliers with weaker bargaining power, lower media attention, and higher auditor industry expertise. In terms of the mechanism of action, sharing auditors with customers can help strengthen the supplier’s supervision, alleviate suppliers’ financing constraints, and thus facilitate their digital transformation. Further research finds that when suppliers share auditors with their customers, suppliers’ digital transformation helps promote innovation.DiscussionThe research conclusion provides effective empirical evidence for alleviating the dilemma of digital transformation of enterprises.
A systematic review on the role of mitochondrial dysfunction/disorders in neurodevelopmental disorders and psychiatric/behavioral disorders
Authors: Pinto Payares Daniela V. , Spooner Logan , Vosters Jennifer , Dominguez Samantha , Patrick Lauren , Harris Ann , Kanungo Shibani 
Published: June 2024

IntroductionMitochondrial diseases are known inborn errors affecting energy metabolism and are as common as chronic diseases such as diabetes, affecting approximately 1 in 5,000 people. The role of mitochondrial diseases/dysfunction has been highlighted in neurodevelopmental disorders like ASD, ADHD, intellectual disability, and speech delay, as well as various psychiatric conditions. Neurodevelopmental disorders are increasingly recognized as having behavioral and psychiatric symptoms. Our study aimed to investigate reports of mitochondrial disorders, noting neurodevelopmental disorders and psychiatric/behavioral conditions.MethodsThis was done through a systematic review of literature from PubMed/MEDLINE, Scopus, and Cochrane Library up to November 2022.ResultsWe found 277 publications, of which 139 met the inclusion criteria. We mostly found review articles with mention of mitochondrial dysfunction/disorder in relation to ASD with brief mentions of psychiatric/behavioral comorbidities.DiscussionThis suggests a need for broader research efforts beyond ASD to understand the relationship between mitochondrial disorder or dysfunction and various neurodevelopmental and psychiatric/behavioral comorbidities.
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography
Authors: Agarwal Sushant , Saxena Sanjay , Carriero Alessandro , Chabert Gian Luca , Ravindran Gobinath , Paul Sudip , Laird John R. , Garg Deepak , Fatemi Mostafa , Mohanty Lopamudra , Dubey Arun K. , Singh Rajesh , Fouda Mostafa M. , Singh Narpinder , Naidu Subbaram , Viskovic Klaudija , Kukuljan Melita , Kalra Manudeep K. , Saba Luca , Suri Jasjit S. 
Published: June 2024

Background and noveltyWhen RT-PCR is ineffective in early diagnosis and understanding of COVID-19 severity, Computed Tomography (CT) scans are needed for COVID diagnosis, especially in patients having high ground-glass opacities, consolidations, and crazy paving. Radiologists find the manual method for lesion detection in CT very challenging and tedious. Previously solo deep learning (SDL) was tried but they had low to moderate-level performance. This study presents two new cloud-based quantized deep learning UNet3+ hybrid (HDL) models, which incorporated full-scale skip connections to enhance and improve the detections.MethodologyAnnotations from expert radiologists were used to train one SDL (UNet3+), and two HDL models, namely, VGG-UNet3+ and ResNet-UNet3+. For accuracy, 5-fold cross-validation protocols, training on 3,500 CT scans, and testing on unseen 500 CT scans were adopted in the cloud framework. Two kinds of loss functions were used: Dice Similarity (DS) and binary cross-entropy (BCE). Performance was evaluated using (i) Area error, (ii) DS, (iii) Jaccard Index, (iii) Bland–Altman, and (iv) Correlation plots.ResultsAmong the two HDL models, ResNet-UNet3+ was superior to UNet3+ by 17 and 10% for Dice and BCE loss. The models were further compressed using quantization showing a percentage size reduction of 66.76, 36.64, and 46.23%, respectively, for UNet3+, VGG-UNet3+, and ResNet-UNet3+. Its stability and reliability were proved by statistical tests such as the Mann–Whitney, Paired t-Test, Wilcoxon test, and Friedman test all of which had a p &lt; 0.001.ConclusionFull-scale skip connections of UNet3+ with VGG and ResNet in HDL framework proved the hypothesis showing powerful results improving the detection accuracy of COVID-19.
Investigation of multi-stage forward osmosis membrane process for concentrating high-osmotic acrylamide solution
Authors: Hao Shuang , Zhang Zhaoqian , Zhao Xin , An Xiaochan , Hu Yunxia 
Published: June 2024

Acrylamide is an important chemical in great global demand for the synthesis of polyacrylamide. A facile and benign approach of concentrating high osmotic acrylamide aqueous solution at a low temperature is needed to replace the current energy-intensive and cost-expensive thermal flash evaporation process. For the first time, a multi-stage forward osmosis (FO) process has been developed to concentrate acrylamide solution from 200 g/L to 600 g/L. Thin-film composite (TFC) membrane was fabricated and used for the multi-stage FO process. Acrylamide feed solution (FS) with various concentrations was systematically characterized in terms of viscosity and osmotic pressure (OP). Draw solutes including NaCl and MgCl2 were tested, and their reverse salt fluxes were measured with the quantification of their accumulative contents in the resultant concentrated acrylamide solution. Different operation modes including AL-FS (active layer facing FS) and AL-DS (active layer facing DS) were explored to optimize the system efficiency of the FO concentration process. Both single- and multi-stage FO operations were investigated, and their performances were quantified to assess the efficiency of the concentration of acrylamide solution. The results demonstrate that the multi-stage FO operation could dramatically improve the system efficiency for the concentration of acrylamide solution better than the single-stage FO process, and the draw concentration renewal at Stages II, III, and IV led to a water flux increase of 18.56%, 17.52%, and 18.43%, respectively. Moreover, the accumulated MgCl2 in the final 600 g/L acrylamide solution was below 3.7 g/L, less than 0.62 wt% impurity in the product of acrylamide. Our work provides a practical insight into the viability and optimization of a multi-stage FO process for concentrating high osmotic chemicals.
Importance of shoulder girdle and finger flexor muscle endurance in advanced male climbers
Authors: Draga Paweł , Rokowski Robert , Sutor Alexander , Pandurevic Dominik , Michailov Michail Lubomirov 
Published: June 2024

AimThis study aimed to: (a) assess the relationships between climbing performance and finger and shoulder girdle muscle endurance; and (b) provide evidence on the validity of the specialized exercise tests used for the purpose.Materials and methods28 male sport climbers (climbing ability 23 ± 2.43 IRCRA scale) performed four tests muscle failure, including two-finger hang tests (using 2.5 and 4 cm holds) and two variants of pull-up exercises (classical pull-ups and a combination of dynamic and isometric actions – the so-called Edlinger). Climbing performance and test results were subjected to correlation, taxonomic and regression analysis.ResultsThe correlations between the results from all tests and climbing performance were notably strong (r between 0.54 and 0.61) and statistically significant (p<0.05). The taxonomic analysis indicated that the two variants of each test type reflect two different latent variables 2.5 cm and 4 cm finger hang durations were highly correlated (r=0.76,p<0.01). A similar correlation was found between the results from the pull-up tests (r=0.72,p<0.01). Thus, the finger hang and pull-up test results were determined to a high extent (43% and 49%, respectively) by factors that cannot be assessed when only one test of each type is used. The regression model of the two-finger tests allowed individual endurance profiles to be assessed.ConclusionsThe muscular endurance of the elbow flexors and shoulder girdle muscles predicts climbing performance within the specific sport level studied to a comparable degree as finger flexor endurance.The use of two variants of a test intended to assess one physical ability provided important details on a climber’s fitness.