bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability and validity of the Chinese version of the Hypertension Belief Assessment Tool in hypertensive patients
Authors: Yang Xue , Mei Yujin , Li Yuqing , Zhang Xiaoyun , Gui Jiaofeng , Wang Ying , Chen Wenyue , Chen Mingjia , Liu Changjun , Zhang Lin 
Published: April 2023

Abstract
Background: Hypertension is prevalent in China. Hypertensive patients suffered from many health problems in life. As time goes by, this will cause them to lack of healthy beliefs. Nevertheless, one’s beliefs about managing their hypertension level and a battery of health habits it is still indistinct. So, it is extremely vital to find a suitable instrument to comprehend the health beliefs of patients and provide seasonable help to keep their body and mind healthy. This Study intended to translate the Hypertension Belief Assessment Tool (HBAT) into Chinese and to explore the validity and reliability of the Chinese version in hypertensive patients.
Methods: This is a cross-sectional study. We translated the HBAT into Chinese, and tested the validity and reliability of the Chinese version among 325 hypertensive patients.
Results: The Cronbach’s α coefficient of the scale was 0.803. Exploratory factor analysis (EFA) supported a six-factor structure block for the HBAT, and the model was qualified in our confirmatory factor analysis. With modified confirmatory factor analysis, the fit indices were chi-square/degree of freedom (CMIN/DF) =2.491, comparative fit index (CFI)=0.952, incremental fit index (IFI)=0.952, root-mean-square error of approximation (RMSEA)=0.068, Tucker Lewis index (TLI)=0.941. The high score group (27%) and low score group (27%) all showed significant differences (P<0.001).
Conclusion: The HBAT has good validity and reliability and it can evaluate the beliefs of Chinese hypertensive patients.
Design of Enterprise Financial Performance Prediction Model Based on Artificial Intelligence Algorithm
Authors: Jing Wang , Anhang LI 
Published: April 2023

Abstract
With the rapid and sustainable development of China's economy, enterprises are faced with the dual challenges of structural and cyclical factors, and the uncertainty of business operations and the intensity of competition are getting higher and higher. Therefore, stakeholders will pay close attention to the company's financial status. Based on this background, forecasting and evaluating the company's financial performance has important research value and significance for realizing the sustainable development of the company. BP neural network can automatically learn historical experience from data samples, and automatically estimate the function that can best describe the law of sample data. Therefore, this paper first analyzes the basic principles of BP neural network and artificial intelligence technology, and then evaluates its benefits, anti-risk ability, development ability and turnover ability, and designs the financial performance prediction and evaluation model from the above four perspectives to evaluate the 12 of the index system. Two secondary indicators are used as the input vector, and the comprehensive performance score is used as the output vector to create the BP neural network model. Finally, using the data of four companies as test samples, model training and simulation verification are carried out on the comprehensive performance of the sample companies, and the comprehensive performance of the sample companies is analyzed and explained according to the comparison of the prediction results. The results show that the prediction and evaluation method of enterprise financial performance based on BP neural network is feasible. In this paper, the artificial intelligence algorithm is introduced into the design of the financial prediction model of enterprise performance and efficiency by studying the artificial intelligence algorithm, so as to effectively assist the enterprise management.
Prognosis and Immune Correlation Analysis of m1A/m5C/m6A/m7G Regulated Genes in Gastric Cancer
Authors: Chen Xiaomei , Wang Anqi , Luo Tian , Yu Miao 
Published: April 2023

Abstract
Background
In gastric cancer (GC), biomarkers that reliably predict prognosis and patient response to immune checkpoint blockade (ICB) are lacking. Accumulating evidence indicate that RNA modification of m1A/m5C/m6A/m7G has a close relationship with the initiation and progression of cancer, particularly in GC. Here, our objective is to identify a significant signature based on m1A/m5C/m6A/m7G-regulated genes for prognosis prediction and immune correlation analysis in GC.
Methods
Firstly, The Cancer Genome Atlas (TCGA)-GC dataset was sifted for m1A/m5C/m6A/m7G-regulated genes that were significantly differentially expressed in normal and GC samples. By combining clinical survival prognostic information of the samples, the most optimal gene combination that was significantly associated with GC prognosis was then systematically sifted. Following that, a novel prognostic risk score (RS) model was constructed. The GSE62254 dataset was used for the RS model validation, with own RT-qPCR conducted for biological validation. Furthermore, a nomogram was founded to better predict the overall survival (OS) of GC. Finally, the RS model and its relevance to immune infiltration, drug sensitivity and pathway enrichment were investigated.
Results
On the basis of the m1A/m5C/m6A/m7G-regulated genes, we developed a prognostic RS model that classified GC patients as high or low risk. The predicted capability of the RS model was well validated in both TCGA-GC training and GSE62254 validation sets. After identifying the RS model as an independent prognostic factor via univariate and multivariate analyses, we built a nomogram with high accuracy to enhance the RS model's clinical suitability. When compared to low-risk patients, high-risk patients had a shorter OS and more activated oncogenic pathways. More importantly, the high-risk group exhibited higher ESTIMATE, immune, and stromal scores, as well as higher expression of immune checkpoint-related genes and human leukocyte antigen (HLA)-related genes. Lastly, we observed that the majority of commonly used GC chemotherapeutic agents had lower IC50 values in high-risk patients.
Conclusion
We created a reliable prognostic RS model based on m1A/m5C/m6A/m7G regulated genes that can predict GC prognosis and guide individualized treatment decisions-making.
Deep tiering Planolites isp. in the oolitic limestones of Cambrian Series 3, western Henan, China
Authors: Li Da , He Xitong , Liu Bingchen , Zheng Wei , Xing Zhifeng , Qi Yong’an 
Published: April 2023

AbstractPlanolitesisp.is teeming within the oolitic limestone units in the Changhsia Formation of Cambrian Series 3 in western Henan, and its morphology is characterized by a horizontal or low-angle oblique curved cylindrical tube. These burrows occur on a easily migrating sedimentary substrate (oolitic beach), but have no lining walls and are filled with micritic, indicating that thePlanolitesisp.burrows were formed in a low energy microenvironment under the background of high energy oolitic shoals, where they are not susceptible to turbulent flow. Detailed analysis of thePlanolitesisp.burrows suggest that the trace makers should be a detritus feeder in deep tieringof sediments. Microscopic observation of ooids and the filling of burrows shows that there are some cyanobacterial filaments in the sediments around the ooids and bit of masticated and partially digested cyanobacterial filamentous fragments within the burrow infilling. indicating the trace makers ofPlanolitesisp. feeds on the cyanobacteriabetween the ooids. The emergence of this kind of deep tiering trace fossils and the unique feeding mode represented by them reveal a more complex survival strategy than that of benthic organisms in the early Cambrian, which provides valuable materials for the study of the evolution of benthic organisms during the Cambrian Explosion.
Molecular evolution of respiratory syncytial virus subgroup A collected in north Viet Nam between 2017-2020
Authors: Ung Trang Thi Hong , Hoang Phuong Vu Mai , Nguyen Hoang Huy , Nguyen Hang Le Khanh , Nguyen Son Vu , Le Thanh Thi , Vuong Cuong Duc , Tran Huong Thi Thu , Nguyen Anh Phuong , Le Mai Thi Quynh 
Published: April 2023

Abstract
The respiratory syncytial virus is a major cause of acute respiratory tract infection in young children. However, molecular characteristics analysis was not as much of its’ burden, especially in developing countries as well as Viet Nam. Therefore, we performed molecular evolutionary analyses of the G gene of RSV-A sequences which were collected from pediatric severe acute respiratory infection patients in north Viet Nam from 2017–2020. The Bayesian Markov Chain Monte Carlo method was used to conduct phylogenetic analyses and a time scale for evolution. We also calculated population dynamics, estimated the natural selection pressure and potential N-glycosylation sites. The results indicated the majority of study sequences were classified into the ON1 genotype. There were three strains belonging to the non-ON1 genotype with p-distance = 0.048. Besides, even though most of the Vietnamese sequences were identified as ON1 genotype, all of them had no 72-nucleotide duplication in the second hypervariable region of the G gene. The molecular evolutionary rate of the RSV-A G gene in northern Viet Nam was estimated to be 1.32 × 10− 3 substitutions/site/year. Each year, the shifts of the N-glycosylation pattern within the G gene of Vietnamese sequences were observed. Moreover, five amino acid substitution sites were related to positive selection pressure. These results were the first report of the molecular evolution of the RSV-A G gene detected in Viet Nam after 2015.
STAT3 and HIF1α cooperatively mediate the transcriptional and physiological responses to hypoxia
Authors: Argenton Francesco , Martello Graziano , Tiso Natascia , Dinarello Alberto , Betto Riccardo , Meneghetti Giacomo , Diamante Linda , Peron Margherita , Ghirardo Rachele , Laquatra Claudio , Cioccarelli Chiara , Tesoriere Annachiara 
Published: April 2023

Abstract
STAT3 and HIF1α are two fundamental transcription factors involved in many merging processes, like angiogenesis, metabolism, and cell differentiation. Notably, under pathological conditions, the two factors have been shown to interact genetically, but both the molecular mechanisms underlying such interactions and their relevance under physiological conditions remain unclear. In mouse embryonic stem cells (ESCs) we manage to determine the specific subset of hypoxia-induced genes that need STAT3 to be properly transcribed and, among them, fundamental genes like Vegfa, Hk1, Hk2, Pfkp and Hilpda are worth mentioning. Unexpectedly, we also demonstrated that the absence of STAT3 does not affect the expression of Hif1a mRNA nor the stabilization of HIF1a protein, but the STAT3-driven regulation of the hypoxia-dependent subset of gene could rely on the physical interaction between STAT3 and HIF1a. To further elucidate the physiological roles of this STAT3 non-canonical nuclear activity, we used a CRISPR/Cas9 zebrafish stat3 knock-out line. Notably, hypoxia-related fluorescence of the hypoxia zebrafish reporter line (HRE:mCherry) cannot be induced when Stat3 is not active and, while Stat3 Y705 phosphorylation seem to have a pivotal role in this process, S727 does not affect the Stat3-dependent hypoxia response. Hypoxia is fundamental for vascularization, angiogenesis and immune cells mobilization; all processes that, surprisingly, cannot be induced by low oxygen levels when Stat3 is genetically ablated. All in all, here we report the specific STAT3/HIF1a-dependent subset of genes in vitro and, for the first time with an in vivomodel, we determined some of the physiological roles of STAT3-hypoxia crosstalk.
Zonotopic estimation for switched systems with parameter uncertainty and asynchronous switching
Authors: Ma Xiang , Liu Xinggao 
Published: April 2023

Abstract
Variant aircraft is one of the typical applications of switched systems. A zonotopic estimation method for uncertain switched systems with asynchronous switching is proposed in this article because the influence of external disturbance and parameter perturbation widely exists in the flight process of variant aircraft. On the basis of a designed robust observer, the states, errors, disturbances, and uncertain parameters are all described with zonotopes. The ultimate estimation is also derived by utilizing the center vector and generator matrix of zonotope. This method solves the problem of obtaining state information of variant aircraft during flight. Moreover, the interval estimation is verified to be bounded via P-radius definition of zonotope and robust stability theory, and the global optimization of the performance is achieved during the estimation process. Finally, a direct method is used to decrease the computing time and improve the estimation accuracy. The methodology is illustrated to be effective through a simulation of the variant aircraft system.
Predictors of mortality among under-five children in rural Ethiopia: a cross sectional study
Authors: Gebrerufael Gebru Gebremeskel , Hagos Bsrat Tesfay 
Published: April 2023

Abstract

Background:The under-five children mortality (UFCM) is one of the major significant and sensitive indicators of the health status of the public. Although the world has seen a remarkable and substantial decrease in UFCM since 1990, its progression rate still remains alarmingly high in Sub-Saharan African (SSA) countries, particularly in Ethiopia. Therefore, this study aimed to assess predictors of mortality among under-five children in rural Ethiopia.Methods:This study used a secondary data analysis of the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS) report. A total of 4,425 under-five children were included in the final analysis. The Kaplan-Meier (K-M) and Cox proportional hazard (PH) model analyses were utilized to estimate survival time and to investigate the major predictors of mortality under-five children, respectively. An Adjusted Hazard Ratio (AHR) along with a 95% Confidence Interval (CI) was employed to measure the impact size and direction of the association.Results: The study showed that 6.2% (95% CI: (5.43, 6.86)) of children died beforehand celebrating their fifth birthday in rural Ethiopia. The multivariable Cox PH regression model analysis revealed, predictors of large spacing preceding birth interval (16–26 months) (AHR = 0.61; 95% CI: (0.402–0.920)), 27–38 months (AHR =0.72; 95% CI: (0.496–1.03)), and ≥39 months, multiple births (AHR = 3.9; 95% CI: (2.77–5.62)), being breastfeeding (AHR =0.13; 95% CI: (0.099–0.162)), and unvaccinated child (AHR =11.6; 95% CI: (1.62–83.1)) were significant predictors of under-five children mortality.Conclusions:In this study, under-five children death rate was alarmingly high in the rural areas of Ethiopia. The birth type, preceding birth interval, vaccination of child, and breastfeeding are identified as significant predictors of under-five children mortality in rural Ethiopia. Therefore, public health interventionsshould be given attention to multiple births, unvaccinated and non-breastfeeding children, as well as mothers’ better encouragement to having a large spacing preceding birth interval.
Chinese herbal prescription Qing-Xin-Jie-Yu granule combined with conventional treatment for intermediate coronary lesions: study protocol for a randomized, double-blinded, placebo-controlled trial
Authors: Chen Luying , Dai Lulu , Xu Jiawei , Duan Lian , Hou Xiaoxia , Zhang Lanfeng , Zhang Lu , Song Libo , Zhao Fangfang , Jiang Yuerong 
Published: April 2023

Abstract
Background
Intermediate coronary lesion (ICL) is a critical stage affecting coronary artery disease’s progression and prognosis and may quickly progress to acute coronary syndrome. However, percutaneous coronary intervention therapy and conventional drug therapy have certain limitations. Qing-Xin-Jie-Yu Granules (QXJYG), a Chinese herbal prescription with a pre-research basis, has the potential to be a complementary treatment for ICL. Previous studies have shown that QXJYG combined with conventional drug therapy could alleviate angina symptoms and reduce the incidence of composite ‘hard’ endpoint in treating stable coronary artery disease. However, for ICL, the effect of this prescription on the degree of coronary stenosis, plaque stability, and long-term efficacy remains unclear. Therefore, we designed this study to evaluate the efficacy and safety of QXJYG in patients with ICL.
Methods
This is a multi-center, block-randomized, double-blinded, placebo-controlled trial. One hundred and twenty participants with ICL will be randomly assigned to two groups in a 1:1 ratio. Based on conventional intervention, the participants of the treatment group will receive QXJYG orally, and the participants of the control group will receive placebo for six successive months. The primary outcomes involve the degree of coronary stenosis, including the percentage of diameter stenosis and the percentage of area stenosis measured by coronary CT angiography. The secondary outcomes involve coronary artery calcification score, Gensini score, CT-fractional flow reserve, angina symptom score, traditional Chinese medicine syndrome score, blood lipids, inflammatory factors, carotid artery ultrasound parameters, and major adverse cardiovascular events. Safety will be assessed by adverse events and laboratory examinations. Measurements will be performed at baseline (visit 1), months 2 (visit 2), months 4 (visit 3), months 6 (visit 4), and months 12 (visit 5).
Discussion
The results of this trial will verify the efficacy and safety of QXJYG in treating ICL, thus adding to the existing knowledge for resolving the problem in ICL.
Trial registration:
This trial is registered at the Chinese Clinical Trial Registry (www.chictr.org.cn). Registration number: ChiCTR2200059262. Register date: April 27, 2022.
Application of the Herbal chemical Marker Ranking System (Herb MaRS) to standardization of herbal pharmaceutical raw materials-a case study
Authors: Kaggwa Bruhan , Anywar Godwin , Munanura Edson Ireeta , Wangalwa Raphael , Kyeyune Henry , Okella Hedmon , Kamba Fadhiru Pakoyo , Engeu Ogwang Patrick 
Published: April 2023

Abstract
Introduction
Phytochemical standardization of herbal materials involves establishing consistent levels of one or more active ingredients or markers. It ensures the authenticity and quality ofherbal materials, extracts, and medicinal products. We successfully applied the Herbal chemical Markers ranking system (Herb MaRS) originally proposed for quality assurance of complex herbal products, to establish markers for controlling the quality of herbal raw materials. We used the most commercially consumed plant materials in Uganda, as a case study.
Methods
The assessment of compounds for suitability as markers were based on the Herb MaRS, with minor modifications as follows: For more objective scoring, evidence of biological activity of the potential marker compound (s) was determined at three levels based on the number of symptoms of the disease condition a compound can treat or alleviate; (i) one symptom (1 point), two symptoms (2 points), 3 and more symptoms (3 points). We also scored the reported concentrations of the compounds (concentration not determined (0 points), concentration ≥5ppm (1 point), (concentration ≥50ppm, 2 points) and availability of analytical standards (1 point); lastly, we scored the compounds for the availability of an analytical method (1 point). Compounds scored from 0 to 8; where 8 indicated the most suitable chemical marker.
Results
The selected markers were as follows: Eucalyptus globulus (aromadendrine, α-terpineol, globulol, and 1-8, cineol);Aloe barbadensis (aloin, aloe emodin, acemannan), Albizia coriaria (lupeol, lupenone, betulinic acid, betulin, and catechin);Mangifera indica (mangiferin, catechin, quercetin, and gallic acid);Warburgia ugandensis (polygodial); Azadirachta indica (azadirachtin, nimbin, nimbidin); and Zingiber officinalis (6, 8, 10-gingerols, and 6-shogaol).
Conclusions
Herb MaRScan be efficiently applied to select marker compounds for quality control of herbal materials. The markers identified should be incorporated into chromatographic fingerprints as well as quantitative methods and evaluated for applicability at the various stages of the production chain of herbal medicines. There is a need to build local capacity to isolate marker compounds, particularly those that are not sold by current vendors.
Determinants of maternal length of stay following childbirth in a rural health facility in Eritrea
Authors: Ghebremeskel Ghirmay Ghebrekidan , Kahsay Meron Tesfay , Gulbet Mengisteab Embaye , Mehretab Awet ghebreberhan 
Published: April 2023

Abstract

Background:
The lack of hospital based data limits understanding of potential leading indicators to formulate evidence based intervention efforts. This study explores maternal length of hospital stay (LOS) following child birth and associated factors in a rural health facility in Eritrea.
Methodology:
A retrospective study of all mothers that delivered in Nakfa hospital between 2020 and 2022 was conducted. Factors associated with postpartum LOS were evaluated for both vaginal delivery (VD) and cesarean delivery (CD). Determinants of LOS following vaginal delivery were explored using negative binomial regression.
Results:
A total of 2025 mothers [1975 (97.5%) VD and 50 (2.5%) CD] with a median age 26 (IQR: 22-30) years were included in the study. The median LOS following childbirth was 1 (IQR: 0-1) day for VD and 6 (IQR: 4-8) days for CD. Substantial mothers were found to have inadequate stay following VD [29% (95% CI: 27-31)] whereas [68 % (95% CI: 54%-81%)] stayed for > 4 days following CD. Following CD, LOS > 4 days was significantly associated with emergency CD (90.6% Vs 9.4% respectively, p- value< 0.001) as compared to elective CD. Meanwhile in VD; 5 minute Apgar score < 4 was significantly associated with prolonged LOS as compared to score of 4-6 and > 6 (24.1% Vs 9.1% and 8.2% respectively, p-value= 0.001). Moreover, VD that were attended by physicians had no inadequate stay whereas 27.4 % of deliveries attended by midwives and 31.3% by associate nurse resulted in inadequate stay (P-value <0.001). Determinants of LOS following VD were: presence of maternal complication (IRR=2.8, 95% CI: 1.6-5, p-value < 0.001), delivery year 2020 and 2021 (IRR= 1.5, 95% CI: 1.2-1.8, p-value <0.001 and IRR= 1.4 95% CI: 1.2-1.7, p-value <0.001 respectively) and delivery hour interval 23:00-7:00 (IRR= 0.8, 95% CI: 0.7-0.9, p-value=0.03).
Conclusion:
Substantial proportion of mothers stay too short post VD to allow adequate postnatal care whereas LOS post CD was high, particularly following emergency operation. Going forward, focus should be placed on enforcing adherence to guidelines on LOS, investment in hospital infrastructure, and personnel through provision of in-service training and upscale coverage antenatal care for early diagnosis of maternal complication in pregnancy.