syedzayyan/paper_mill_benchmark huggingface dataset:
Clinical Factors of Blood Transfusion-Related Acute Lung Injury and Changes in Levels of Treg-Related Cytokines

Analysis of clinical factors and changes in regulatory t cell (treg)-related cytokine levels in transfusion-associated acute lung injury (trali).Methods.62 patients who underwent blood transfusion and developed trali (trali group) in our hospital between january 2018 and december 2021 and 58 patients who did not develop trali (non-trali group) from blood transfusion were selected to collect clinical data from patients and construct a logistic regression model to analyze clinical risk factors for trali.Based on the prognosis of trali patients, they were divided into survival group (50 cases) and death group (12 cases), and serum cd4 + cd25 + treg and treg-related cytokines (interleukin 10 (il-10), transforming growth factor-β (tgf-β)) levels were compared between the two groups, and the correlation between cd4 + cd25 + treg and il-10 and tgf-β was analyzed by pearson.Results.The differences in smoking history, human leukocyte antigen (hla) antibody ii, pretransfusion shock, and cd4 + cd25 + treg between the trali group and non-trali group were statistically significant ( p &lt; 0.05 ).Logistic regression analysis showed that hla antibody ii and increased cd4 + cd25 + treg were independent risk factors of trali ( p &lt; 0.05 ).The levels of cd4 + cd25 + treg, il-10, and tgf-β in the death group were significantly higher than those in the survival group ( p &lt; 0.05 ).Cd4 + cd25 + treg was positively correlated with levels of il-10 and tgf-β ( p &lt; 0.05 ).Conclusion.Elevated hla antibody ii and cd4 + cd25 + treg are the main clinical risk factors for trali, and cd4 + cd25 + treg may be involved in immunosuppression by increasing the expression levels of il-10 and tgf-β.Early clinical monitoring of changes in treg-related cytokine levels can provide some guidance for prognostic assessment of trali patients.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Investigation and Strategy Research on Dietary Nutrition Knowledge, Attitude, and Behavior of Athletes

The goal of this paper is to learn more about the nutritional knowledge, attitude, and behavior of teenager trampoline athletes to improve their dietary nutritional levels as well as their sports performance.The questionnaires were designed on athletes’ diet nutrition knowledge, and the questionnaire surveys were conducted on the selected teenager trampoline athletes aged 10–17 as the survey object.Dietary nutrition knowledge, attitude, and behavior are significantly correlated with the total score p &lt; 0.05 ; dietary nutrition knowledge and dietary nutrition behavior are significantly correlated p &lt; 0.05 ; dietary nutrition attitude and dietary nutrition behavior are also significantly correlated p &lt; 0.05 ; dietary nutrition knowledge and dietary nutrition attitude are not strongly correlated p &gt; 0.05 .The average score of dietary nutrition knowledge of teenager trampoline athletes is 6.5 ± 1.7 (failing).The nutritional knowledge of teenager trampoline athletes is not systematic and the quality of nutrition information obtained by teenager trampoline athletes is low.The average score of dietary nutrition attitude of teenager trampoline athletes is 7.1 ± 1.8 (good).The average score of dietary nutrition behavior is 13.4 ± 3.1 (moderate).Teenager trampoline athletes mainly rely on coaches, relatives, and friends to obtain nutritional knowledge.Therefore, the correct eating habits need to be strengthened and their dietary nutrition behaviors need to be reasonably monitored.Suggestions will include providing relevant nutrition courses, increasing athletes’ awareness of the importance of dietary nutrition, and using professional dietitians for dietary nutrition matching and monitoring.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Shikonin suppresses proliferation and induces apoptosis in endometrioid endometrial cancer cells via modulating miR-106b/PTEN/AKT/mTOR signaling pathway

Shikonin, a natural naphthoquinone isolated from a traditional chinese medicinal herb, which exerts anticancer effects in various cancers.However, the molecular mechanisms underlying the therapeutic effects of shikonin against endometrioid endometrial cancer (eec) have not yet been fully elucidated.Herein, we investigated anticancer effects of shikonin on eec cells and explored the underlying molecular mechanism.We observed that shikonin inhibits proliferation in human eec cell lines in a dose-dependent manner.Moreover, shikonin-induced apoptosis was characterized by the up-regulation of the pro-apoptotic proteins cleaved-caspase-3 and bax, and the down-regulation of the anti-apoptotic protein bcl-2.Microarray analyses demonstrated that shikonin induces many mi rnas’ dysregulation, and mi r-106b was one of the mi rnas being most significantly down-regulated.Mi r-106b was identified to exert procancer effect in various cancers, but in eec remains unclear.We first confirmed that mi r-106b is up-regulated in eec tissues and cells, and knockdown of mi r-106b suppresses proliferation and promotes apoptosis.Meanwhile, our results validated that the restored expression of mi r-106b abrogates the antiproliferative and pro-apoptotic effects of shikonin.We also identified that mi r-106b targets phosphatase and tensin homolog (pten), a tumor suppressor gene, which in turn modulates akt/m tor signaling pathway.Our findings indicated that shikonin inhibits proliferation and promotes apoptosis in human eec cells by modulating the mi r-106b/pten/akt/m tor signaling pathway, suggesting shikonin could act a potential therapeutic agent in the eec treatment.

Journal: Bioscience Reports (2018)
Publication types: Research Article;
LncRNA DQ786243 contributes to proliferation and metastasis of colorectal cancer both in vitro and in vivo

Accumulating evidence demonstrates that long non-coding rnas (lnc rnas) play important roles in regulating gene expression and are involved in various cancers, including colorectal cancer (crc).However, lnc rna profiles in crc remain largely unknown.The present study aims to find the key lnc rna associated with crc and to study its biological functions in crc progression.We focused on lnc rna dq786243, one of lnc rnas which promoted development of crc from the gene expression omnibus (geo) and validated using quantitative real-time pcr among about 20 paired crc tissues.The effects of lnc rna dq786243 were assessed by silencing the lnc rna in vitro and in vivo.Results showed that the expression level lnc rna dq786243 was significantly higher in crc tissues and cell lines.We also found lnc rna dq786243 knockdown by rna interference with si rna significantly arrested the cell cycle in the g2/m-phase, promoted apoptosis and weaken the abilities of cell proliferation and invasion in vitro.Further investigation into the mechanisms responsible for the growth inhibitory effects by dq786243 silencing revealed that its knockdown resulted in the induction of cell cycle arrest and apoptosis through certain cell cycle-related and apoptosis-related proteins.Finally, xenograft experiments confirmed that the growth of xenograft tumours formed by crc cells was suppressed after silencing lnc rna dq786243 expression.In conclusion, the present study suggests that lnc rna dq786243 is an oncogene that promotes tumour progression and leads us to propose that lnc rnas may serve as key regulatory hubs in crc progression.

Journal: Bioscience Reports (2016)
Publication types: Research Article;
Improving the Oxidation Stability and Shelf-Life of Peanut Oil by Addition of Rosemary Extract Combined with Vitamin C and Ascorbyl Palmitate

Rosemary extracts are natural antioxidants, which can be considered an alternative for synthetic antioxidants in the food industry.The aim of the present study was to evaluate the oxidation stability and shelf-life of rosemary extracts combined with vitamin c (vc) and ascorbyl palmitate (ap) in peanut oil stored at 65°c.Peanut oil with tertbutyl hydroquinone (tbhq) and without additives served as positive and negative controls, respectively.The peroxide value (pov), thiobarbituric acid reactant (tbars), conjugated diene (cd), and conjugated triene (ct) values of the peanut oil samples were evaluated during accelerated storage every 48 h.Among them, 0.23 g/kg rosemary extracts combined with 0.13 g/kg vc and 0.07 mg/kg ap exhibited the best oxidative stability.Additionally, the oxidation kinetics model predicated that the rosemary extracts combined with vc and ap could effectively prolong the shelf-life of peanut oil.In accelerated storage, the rosemary extracts combined with vc and ap not only inhibited peanut oil oxidation like chemical antioxidants, but also were safer than chemical antioxidants.Therefore, the rosemary extracts combined with vc and ap were an effective alternative to chemical antioxidants, which could improve the oxidation stability and shelf-life of peanut oil.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis

Kidneys are vital organs in the human body, and their effective functioning determines life quality.Chronic kidney illness is a kind of nephrotic syndrome in which the kidneys’ capacity to cope normally steadily deteriorates and remains asymptomatic for a long period as the disease progresses.An early ckd detection would help the patient recover faster and easier.Using an artificial intelligence system that can effectively aid in ckd detection in time and suggest the required food nutrition for its treatment and recovery would reap immense benefits for healthcare professionals as well as the patient.Ml is a part of ai technology that has been used for effective medical development.This technology helps physicians in the accurate diagnosis of kidney disease and helps in effective treatment prediction by recommending required nutrition.The present research relates to the use of ml in proper kidney disease diagnosis and food recommendations for treatment accordingly.A correlation analysis has been done in this research to observe the strength of ml using the effective finding for renal malfunctioning and identifying the best food products that could help in its treatment and recovery.Ibm spss version 26 has been used for this research.The correlation analysis has been done to observe the impact of eight independent variables that are age, gender, blood sugar, serum albumin, creatinine, potassium, bacteria, and pus secretion on the two dependent variables that are the risk of ckd occurrence and ml accuracy.The results have exposed that the autonomous values consist of a strong positive correlation with the dependent variable ( p &lt; 0.005 ).The statistical significance values have proved that the dependent values are statistically significant (0.001).The value of ml accuracy at a 95% confidence level has been observed at 88.85%, and the ckd occurrence value is 86.95%.The results have proved that the ml algorithm detects the risk of ckd occurrence accurately in each stage via analyzing blood sugar, creatinine, and potassium levels.The result also shows that the risk of ckd enhances with an increase in age.

Journal: Journal of Food Quality (2022)
Publication types: Research Article;
Safety Risk Evaluation of Construction Site Based on Unascertained Measure and Analytic Hierarchy Process

Due to the high risk of construction sites, it is necessary to make safety risk evaluation.With the synthetic consideration of the complexity and uncertainty of construction sites, a comprehensive evaluation index system with two levels has been based on the emphases and difficulties of the current safety work in construction industry; the index system includes civilized construction site, management of machinery, equipment, materials, occupation health protection, and the subpackage management, such as 6 one-level evaluation indexes, inspection system of safety risk, safety awareness education, and prevention and control of occupation disease, such as 33 two-level evaluation indexes.The research takes “no.A residential building and other 8 projects” as the empirical analysis object, with the weights of the first indexes and second indexes being calculated by the analytic hierarchy process (ahp) and the information entropy, and applies the unascertained measure to comprehensively evaluate the safety risk of the construction project.The overall score of the project is 6.4475, the evaluation result is good, which is consistent with the actual situation, and the feasibility and effectiveness of the evaluation index system and evaluation model are verified, which provides a reference for safety risk management in the construction stage of construction projects.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Research on Interior Design and Space Layout Optimization Based on Multi-Intelligent Decision-Making

In order to meet people’s diverse, complex, and changeable living requirements and aesthetic requirements, it is necessary to rationalize the design of indoor three-dimensional space.The optimization of the indoor environmental space layout is affected by the energy consumption and rationality of functional areas, resulting in indoor environmental space the performance of the layout optimization system deteriorates.In order to improve the performance of the indoor environment spatial layout and meet the living needs of more people, this paper proposes an optimal design of a spatial layout based on multi-intelligence decision-making.The research results of the article show that (1) the average confidence and the average recognition time of logo set b are both smaller than those of logo set a , indicating that logo set b is easier to be recognized by users in the same commercial building environment and can be more quickly recognized.In terms of discrimination, the time used to correct the misrecognition of identification set b is shorter than that of identification set a , which means that the different types of identifications in identification set b are easier to distinguish.(2) the spatial positioning algorithm proposed in this paper has good reliability and practicability, high positioning accuracy, and small error for indoor spatial coordinate positioning.Compared with the traditional method, the projection method of this paper has a significantly smaller error, and the maximum error is only 0.272, which makes the indoor space design more rational.(3) comparing the energy consumption coefficients of the three spatial layout optimization systems, it can be seen that the indoor environmental spatial layout optimization system based on multi-intelligence decision-making has the lowest energy consumption when optimizing the indoor environmental spatial layout, because the system is in the design process.The indoor environment space layout model is designed, which effectively reduces the energy consumption of the indoor environment space layout optimization.When the indoor environment space layout optimization system based on multi-intelligence decision-making is used to optimize the indoor environment space layout, the average optimization accuracy is 98.32%, while the average indoor environment space layout optimization accuracy of the space layout optimization system with curved shading space layout optimization is 42.2% %, the layout optimization of binocular stereo vision space.When optimizing the indoor space layout, the average optimization accuracy is 70.87%.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Association of Fecal Microbiota with Irritable Bowel Syndrome-Diarrhea and Effect of Traditional Chinese Medicine for Its Management

Changes in intestinal microbiota have been linked to the development of diarrhea predominant irritable bowel syndrome (ibs-d).In order to better elucidate the relationship between intestinal microbiota changes and ibs-d, we compared fecal microbiota of ibs-d rats and healthy control using pyrosequencing of bacterial 16s r rna gene targeted.Furthermore, we explored the effects of different traditional chinese medicine (tcm) on intestinal microbiota of ibs-d in dose-dependent manner.Our results showed that there was no significant difference in fecal microbial community diversity among the healthy control group, ibs-d rats and ibs-d rats treated with traditional chinese medicine, but the fecal microbial composition at different taxonomic levels have changed among these groups.Interestingly, the weight of ibs-d rats treated with moderate doses (13.4 g/kg) of tcm increased significantly, and the diarrhea-related symptoms improved significantly, which may be related to the enrichment in deferribacteres, proteobacteria, tenericutes, lachnospiraceae, and ruminococcaceae and the reduction in lactobacillus in fecal samples.

Journal: Gastroenterology Research and Practice (2021)
Publication types: Research Article;
Analysis on Influence of Business Intelligence Information Quality over User Information Adoption Based on Multiple Mediating Effects

From the perspective of information, this paper constructs a theoretical model based on information system (is) success model and information adoption model (iam), aiming to further disclose the action mechanism of business intelligence (bi) on user information adoption (uia).Firstly, the bi factors affecting uia were modeled in reference to the existing literature.Next, a questionnaire survey was carried out to collect valid samples from 423 chinese enterprises.After that, an empirical analysis on structural equations was conducted on amos 24.0 and spss 26.0.The results show that bi information content quality (icq), expected performance (ep), expected ease-of-use (eeou), and perceived risk (pr) have a direct and significant influence on uia, and icq further significantly influences uia via mediators such as ep, eeou, and pr; bi information access quality (iaq) has a direct yet insignificant influence on uia, but exerts a significant positive effect on uia of bi via ep and eeou.The research provides a new perspective into bi user behaviors in the context of big data, and a good reference for the successfully implementation and use of bi in practice.

Journal: Discrete Dynamics in Nature and Society (2021)
Publication types: Research Article;
Low Serum Albumin Is Associated with Poor Prognosis in Patients Receiving Peritoneal Dialysis Treatment

The number of patients receiving dialysis treatment is sustainably increasing, especially peritoneal dialysis.Objectives.It is necessary to find out potential factors that may indicate the prognosis of patients receiving peritoneal dialysis treatment.Methods.This study retrospectively involved 325 patients who received peritoneal dialysis treatment.Results.low serum albumin (hr = 2.254; 95% ci: 1.534–3.311; p &lt; 0.001 ) and high fbg (fasting blood glucose) (hr = 1.474; 95% ci: 1.025–2.120; p = 0.037 ) were risk factors for death in patients receiving peritoneal dialysis treatment.Serum albumin (auc = 0.683; p &lt; 0.001 ) and creatinine (auc = 0.625; p &lt; 0.001 ) exhibited value of prognosis prediction.Both high fbg ( p = 0.005 ) and low albumin ( p &lt; 0.001 ) were associated with poor prognosis, and low albumin predicted poorer survival.Conclusions.Low serum albumin and high fasting blood glucose were risk factors and associated with poor prognosis.Low albumin has a potential in predicting the prognosis of patients receiving peritoneal dialysis treatment.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Biomechanical Analysis and Training Method Research on Head Shot Strength of Football Players

With the development of intelligent sports in china and the rapid improvement of the strength of colleges and universities, the reform of traditional football players’ header shooting training methods is becoming more and more urgent in order to solve some problems in the development of sports and speed up the intelligent training of chinese football players.Based on this, this paper studies the biomechanical analysis and training method based on the integration of header strength data of football players.A dynamic header tracking model of football players based on a local search algorithm is designed.The data collection is realized from the aspects of athletes’ header shooting training, skill improvement, physical consumption, and trajectory.The biological data of header shooting power is comprehensively analyzed and evaluated by using a local search algorithm.The results show that the training system based on a local search algorithm has the advantages of high feasibility, high data accuracy, and fast response speed.It can effectively conduct accurate guidance and improve the shooting accuracy according to the biological characteristics of header shooting intensity.This paper studies the biological analysis and training method of header strength of football players based on a local search algorithm.This has certain reference significance for accelerating the construction of intelligent training of chinese football players.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Association of Pentachlorophenol with Fetal Risk of Prolonged Bradycardia: A Systematic Review and Meta-Analysis

This study explored the systematic evaluation and meta-analysis of different concentrations of pcp on the risk of long-term bradycardia in fetuses.Methods.Cochrane library, embase, pub med, china biomedical literature service, cncnki, and wanfang database were computerized to collect all case-control studies on the association between variety classes and different concentrations of environmental pollutant gas to fetal of prolonged bradycardia.After evaluating the quality of the inclusion study and extracting valid data, meta-analysis was performed using stata15 software.Relative hazards were calculated using the mantel-haenszel method and the random effect model, and p values and i2 values were used for heterogeneity evaluation.When heterogeneity occurs, subgroup analysis and sensitivity analysis were used to explore the sources.Results.A total of 15 studies were included, including 1202 patients with fetal of prolonged bradycardia and 1380 in the control population.Meta-analysis showed that there was no statistical difference in pcp &lt; 0.1 mg/l between the experimental group and control group (or = 1.03, 95% ci (0.62, 1.72), p = 0.90 , i2 = 0%, z = 0.13), but there was a statistical difference in pcp &gt; 5 mg/l (or = 1.73, 95% ci (1.15, 2.58), p = 0.008 , i2 = 0%, z = 2.65), pcp &gt; 10 mg/l (or = 1.75, 95% ci (1.19, 2.57), p = 0.004 , i2 = 14%, z = 2.85), and pcp &gt;15 mg/l (or = 2.02, 95% ci (1.38, 2.95), p = 0.0003 , i2 = 77%, z = 3.61).Conclusion.In this study, we found that different concentrations of pcp increased the risk of long-term bradycardia in fetuses, and the risk coefficient increased with the increase of pcp concentration.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Meta-Analysis;