Subjects -> COMPUTER SCIENCE (Total: 2313 journals)
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    - COMPUTER SCIENCE (1305 journals)
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    - THEORY OF COMPUTING (10 journals)

COMPUTER SCIENCE (1305 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 27)
Abakós     Open Access   (Followers: 3)
ACM Computing Surveys     Hybrid Journal   (Followers: 29)
ACM Inroads     Full-text available via subscription   (Followers: 1)
ACM Journal of Computer Documentation     Free   (Followers: 4)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 5)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 11)
ACM SIGACCESS Accessibility and Computing     Free   (Followers: 2)
ACM SIGAPP Applied Computing Review     Full-text available via subscription  
ACM SIGBioinformatics Record     Full-text available via subscription  
ACM SIGEVOlution     Full-text available via subscription  
ACM SIGHIT Record     Full-text available via subscription  
ACM SIGHPC Connect     Full-text available via subscription  
ACM SIGITE Newsletter     Open Access   (Followers: 1)
ACM SIGMIS Database: the DATABASE for Advances in Information Systems     Hybrid Journal  
ACM SIGUCCS plugged in     Full-text available via subscription  
ACM SIGWEB Newsletter     Full-text available via subscription   (Followers: 2)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 13)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 3)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)     Hybrid Journal  
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 10)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 11)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 5)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 19)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 9)
ACM Transactions on Computing for Healthcare     Hybrid Journal  
ACM Transactions on Cyber-Physical Systems (TCPS)     Hybrid Journal   (Followers: 1)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 5)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 11)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Internet of Things     Hybrid Journal   (Followers: 2)
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS)     Hybrid Journal  
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Parallel Computing     Full-text available via subscription  
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 9)
ACM Transactions on Social Computing     Hybrid Journal  
ACM Transactions on Spatial Algorithms and Systems (TSAS)     Hybrid Journal   (Followers: 1)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Hybrid Journal   (Followers: 39)
Acta Informatica Malaysia     Open Access  
Acta Universitatis Cibiniensis. Technical Series     Open Access   (Followers: 1)
Ad Hoc Networks     Hybrid Journal   (Followers: 12)
Adaptive Behavior     Hybrid Journal   (Followers: 8)
Additive Manufacturing Letters     Open Access   (Followers: 3)
Advanced Engineering Materials     Hybrid Journal   (Followers: 32)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 9)
Advances in Artificial Intelligence     Open Access   (Followers: 31)
Advances in Catalysis     Full-text available via subscription   (Followers: 7)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 20)
Advances in Computer Engineering     Open Access   (Followers: 13)
Advances in Computer Science : an International Journal     Open Access   (Followers: 18)
Advances in Computing     Open Access   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 19)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
Advances in Image and Video Processing     Open Access   (Followers: 20)
Advances in Materials Science     Open Access   (Followers: 19)
Advances in Multimedia     Open Access   (Followers: 1)
Advances in Operations Research     Open Access   (Followers: 13)
Advances in Remote Sensing     Open Access   (Followers: 59)
Advances in Science and Research (ASR)     Open Access   (Followers: 8)
Advances in Technology Innovation     Open Access   (Followers: 5)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 5)
AI EDAM     Hybrid Journal   (Followers: 2)
Air, Soil & Water Research     Open Access   (Followers: 6)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 5)
Al-Qadisiyah Journal for Computer Science and Mathematics     Open Access   (Followers: 2)
AL-Rafidain Journal of Computer Sciences and Mathematics     Open Access   (Followers: 3)
Algebras and Representation Theory     Hybrid Journal  
Algorithms     Open Access   (Followers: 13)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 8)
American Journal of Computational Mathematics     Open Access   (Followers: 6)
American Journal of Information Systems     Open Access   (Followers: 4)
American Journal of Sensor Technology     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 15)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 4)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 16)
Annals of Pure and Applied Logic     Open Access   (Followers: 4)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annual Reviews in Control     Hybrid Journal   (Followers: 7)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 3)
Applied and Computational Harmonic Analysis     Full-text available via subscription  
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 17)
Applied Categorical Structures     Hybrid Journal   (Followers: 4)
Applied Clinical Informatics     Hybrid Journal   (Followers: 4)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 16)
Applied Computer Systems     Open Access   (Followers: 6)
Applied Computing and Geosciences     Open Access   (Followers: 3)
Applied Mathematics and Computation     Hybrid Journal   (Followers: 31)
Applied Medical Informatics     Open Access   (Followers: 11)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 4)
Applied Soft Computing     Hybrid Journal   (Followers: 13)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Applied System Innovation     Open Access   (Followers: 1)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 4)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 97)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 7)
Array     Open Access   (Followers: 1)
Artifact : Journal of Design Practice     Open Access   (Followers: 8)
Artificial Life     Hybrid Journal   (Followers: 7)
Asian Journal of Computer Science and Information Technology     Open Access   (Followers: 3)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Research in Computer Science     Open Access   (Followers: 4)
Assembly Automation     Hybrid Journal   (Followers: 2)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 6)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 13)
Automatika : Journal for Control, Measurement, Electronics, Computing and Communications     Open Access  
Automation in Construction     Hybrid Journal   (Followers: 8)
Balkan Journal of Electrical and Computer Engineering     Open Access  
Basin Research     Hybrid Journal   (Followers: 7)
Behaviour & Information Technology     Hybrid Journal   (Followers: 32)
BenchCouncil Transactions on Benchmarks, Standards, and Evaluations     Open Access   (Followers: 3)
Big Data and Cognitive Computing     Open Access   (Followers: 5)
Big Data Mining and Analytics     Open Access   (Followers: 10)
Biodiversity Information Science and Standards     Open Access   (Followers: 1)
Bioinformatics     Hybrid Journal   (Followers: 216)
Bioinformatics Advances : Journal of the International Society for Computational Biology     Open Access   (Followers: 1)
Biomedical Engineering     Hybrid Journal   (Followers: 11)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 11)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 43)
British Journal of Educational Technology     Hybrid Journal   (Followers: 93)
Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics     Open Access  
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
Cadernos do IME : Série Informática     Open Access  
CALCOLO     Hybrid Journal  
CALICO Journal     Full-text available via subscription  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Catalysis in Industry     Hybrid Journal  
CCF Transactions on High Performance Computing     Hybrid Journal  
CCF Transactions on Pervasive Computing and Interaction     Hybrid Journal  
CEAS Space Journal     Hybrid Journal   (Followers: 6)
Cell Communication and Signaling     Open Access   (Followers: 3)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 4)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 1)
Chaos, Solitons & Fractals : X     Open Access   (Followers: 1)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 13)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chip     Full-text available via subscription   (Followers: 2)
Ciencia     Open Access  
CIN : Computers Informatics Nursing     Hybrid Journal   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 16)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Clinical eHealth     Open Access  
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 2)
Cognitive Computation and Systems     Open Access  
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 18)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 29)
Communications in Algebra     Hybrid Journal   (Followers: 1)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 2)
Communications of the ACM     Full-text available via subscription   (Followers: 59)
Communications of the Association for Information Systems     Open Access   (Followers: 15)
Communications on Applied Mathematics and Computation     Hybrid Journal   (Followers: 1)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 4)
Complex & Intelligent Systems     Open Access   (Followers: 1)
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 8)
Computación y Sistemas     Open Access  
Computation     Open Access   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 3)
Computational and Mathematical Methods     Hybrid Journal  
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 1)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 1)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 11)
Computational Astrophysics and Cosmology     Open Access   (Followers: 6)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 13)
Computational Biology Journal     Open Access   (Followers: 6)
Computational Brain & Behavior     Hybrid Journal   (Followers: 1)
Computational Chemistry     Open Access   (Followers: 3)
Computational Communication Research     Open Access   (Followers: 1)
Computational Complexity     Hybrid Journal   (Followers: 5)
Computational Condensed Matter     Open Access   (Followers: 1)

        1 2 3 4 5 6 7 | Last

Similar Journals
Journal Cover
Computational and Mathematical Methods in Medicine
Journal Prestige (SJR): 0.403
Citation Impact (citeScore): 1
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1748-670X - ISSN (Online) 1748-6718
Published by Hindawi Homepage  [339 journals]
  • Multifactor Logistic Analysis to Explore the Risk Factors of Safety Risks
           in the Transport of Critically Ill Patients with ICU and the Improvement
           of Nursing Strategies

    • Abstract: Objective. Multivariate logistic analysis was employed to explore the risk factors of safety risks in the transport of critically ill patients with ICU and the improvement of nursing strategies. Methods. Two hundred critical transport patients with ICU treated in our hospital from January 2019 to April 2021 were enrolled. According to the occurrence of unsafe events in transit, the patients were assigned to the control group (165 cases without unsafe events, ) and the study group (35 cases with safety incidents, ). Multivariate logistic analysis was employed to explore the risk factors of safety risks in the transport of critically ill patients with ICU and to enhance nursing strategies. Results. (1) General data of the subjects: among the 200 critically ill patients with ICU who needed in-hospital transport, the age ranged from 18 to 85 years with an average age of , including 89 males and 111 females. There were 35 cases of gastrointestinal bleeding, 16 cases of respiratory failure, 23 cases of heart failure, 43 cases of myocardial infarction, 26 cases of cerebrovascular accident, 14 cases of ectopic pregnancy, 25 cases of severe injury, and 18 cases of mechanical ventilation. There were 35 cases in the study group with accidents and 45 cases in group B without accidents. (2) Among the 200 patients, 35 patients had complications during the transit process in the intermediate people’s court, with an incidence rate of 17.5%. It included blood pressure fluctuation (), artificial airway obstruction (), decrease in blood oxygen saturation (), dyspnea (), fall pain (), elevated intracranial pressure (), and other factors (). There exhibited no significant difference in blood oxygen saturation at each time point during transport (). There exhibited no significant difference in SpO2 before transport. The comparison of 5 min and 10 min blood oxygen saturation during transit in the study group was lower compared to the control group (). (3) In a univariate analysis of safety risks for critically ill ICU patients, home escorts did not show significant differences in hospital transport for critically ill ICU patients (). There were significant differences in terms of age, patient’s condition, transport escort, auxiliary ventilation, means of transport, uncarried drugs and goods, and carrying pipeline (). The results of multivariate logistic regression analysis indicated that age, patient’s condition, transport escort, auxiliary ventilation, means of transport, uncarried drugs and goods, and carrying pipeline were the risk factors affecting the safe transport of critically ill patients ().Conclusion. Age, patient’s condition, transport escort, auxiliary ventilation, means of transport, uncarried drugs and goods, and carrying pipeline are the independent risk factors that affect the safe transport of emergency or ICU critically ill patients. Therefore, in order to reduce the risk of transshipment, we must enhance the safety awareness of escorts, strengthen the management and training of escorts, promote rules and regulations, and formulate dangerous plans, so as to eliminate the occurrence of unsafe factors.
      PubDate: Sat, 14 May 2022 17:50:02 +000
  • A High-Precision Classification Method of Mammary Cancer Based on Improved
           DenseNet Driven by an Attention Mechanism

    • Abstract: Cancer is one of the major causes of human disease and death worldwide, and mammary cancer is one of the most common cancer types among women today. In this paper, we used the deep learning method to conduct a preliminary experiment on Breast Cancer Histopathological Database (BreakHis); BreakHis is an open dataset. We propose a high-precision classification method of mammary based on an improved convolutional neural network on the BreakHis dataset. We proposed three different MFSCNET models according to the different insertion positions and the number of SE modules, respectively, MFSCNet A, MFSCNet B, and MFSCNet C. We carried out experiments on the BreakHis dataset. Through experimental comparison, especially, the MFSCNet A network model has obtained the best performance in the high-precision classification experiments of mammary cancer. The accuracy of dichotomy was 99.05% to 99.89%. The accuracy of multiclass classification ranges from 94.36% to approximately 98.41%.Therefore, it is proved that MFSCNet can accurately classify the mammary histological images and has a great application prospect in predicting the degree of tumor. Code will be made available on
      PubDate: Sat, 14 May 2022 17:50:02 +000
  • Prognostic Value of Immunotyping Combined with Targeted Therapy in
           Patients with Non-Small-Cell Lung Cancer and Establishment of Nomogram

    • Abstract: Objective. Bioinformatics methods were used to analyze non-small-cell lung cancer gene chip data, screen differentially expressed genes (DEGs), explore biomarkers related to NSCLC prognosis, provide new targets for the treatment of NSCLC, and build immunotyping and line-map model. Methods. NSCLC-related gene chip data were downloaded from the GEO database, and the common DEGs of the two datasets were screened by using the GEO2R tool and FunRich 3.1.3 software. DAVID database was used for GO analysis and KEGG analysis of DEGs, and protein-protein interaction (PPI) network was constructed by STRING database and Cytoscape 3.8.0 software, and the top 20 hub genes were analyzed and screened out. The expression of pivot genes and their relationship with prognosis were verified by multiple external databases. Results. 159 common DEGs were screened from the two datasets. PPI network was constructed and analyzed, and the genes with the top 20 connectivity were selected as the pivotal genes of this study. The results of survival analysis and the patients’ survival curve was reflected in the line graph model of NSCLC. Conclusion. Through the screening and identification of the VIM-AS1 gene, as well as the analysis of immune infiltration and immune typing, the successful establishment of the rosette model has a certain guiding value for the molecular targeted therapy of patients with non-small-cell lung cancer.
      PubDate: Sat, 14 May 2022 08:05:02 +000
  • Analysis of Pregnancy Outcomes after Laparoscopic Myomectomy: A
           Retrospective Cohort Study

    • Abstract: Objective. This study aimed to investigate the factors related to pregnancy outcomes after laparoscopic myomectomy. Methods. A retrospective review was conducted on 156 patients aged 18 to 45 years who underwent laparoscopic myomectomy in Ningbo Women and Children’s Hospital from January 2010 to December 2016. Follow-up medical records and information were collected on demographic variables, clinical variables, and postoperative pregnancy rate. The logistic regression model was used to assess the association between related factors and postoperative pregnancy rate or pregnancy outcome. The outcome indicators included ,, and . The chi-squared test or Fisher’s exact test was used to compare the differences in pregnancy outcomes, postpartum hemorrhage, and placenta adhesion between the cohorts. Results. The size of fibroids correlated with the postoperative pregnancy rate. The larger the fibroids, the lower the postoperative pregnancy rate, and the difference was statistically significant. The number of fibroids and placental adhesions was positively associated with postoperative pregnancy; the higher the number of fibroids, the higher the incidence of placental adhesions. However, the postoperative interval of pregnancy, fibroid size, and number and type of fibroids are not correlated with the pregnancy outcomes of postoperative patients. Conclusions. The size of myoma may influence the pregnancy rate of patients after laparoscopic myomectomy. The number of fibroids can affect the incidence of placental adhesions during postoperative pregnancy.
      PubDate: Sat, 14 May 2022 07:35:01 +000
  • The Comparison of the Diagnostic Value of Left Atrial Pulmonary Vein
           Single-Phase and Dual-Phase Enhanced CT Scanning for Left Atrial Appendage
           Thrombosis and SEC in Patients with Atrial Fibrillation

    • Abstract: Objective. The accuracy of left atrial pulmonary vein CT enhanced single-phase and dual-phase scanning in the detection of left atrial appendage (LAA) thrombosis and spontaneous echo contrast (SEC) before radio frequency ablation was compared in atrial fibrillation patients, so as to optimize the scanning scheme. Methods. 78 patients with atrial fibrillation who were admitted to Cangzhou Central Hospital from October 2020 to September 2021 and underwent bilateral enhanced CT scan of left atrial pulmonary vein and transesophageal echocardiography (TEE) examination for planned frequency ablation were selected. TEE results were used as the “gold standard” to compare the diagnostic efficacy of the first phase, second phase, and double-phase comprehensive mode of enhanced left atrial pulmonary vein CT in detecting left atrial thrombosis and SEC. Results. The sensitivity, specificity, positive predictive value, and negative predictive value were 88.9%, 84.1%, 42.1%, and 98.3%, respectively, in the detection of left atrial thrombosis and SEC by the first phase of CT enhanced scan. The sensitivity, specificity, positive predictive value, and negative predictive value were 22.2%, 98.6%, 66.6%, and 90.7%, respectively, in the detection of left atrial thrombosis and SEC by the second phase of CT enhanced scan. The sensitivity, specificity, positive predictive value, and negative predictive value were 88.9%, 84.1%, 42.1%, and 98.3%, respectively, in the detection of left atrial thrombosis and SEC by the double-phase comprehensive mode of CT enhanced scan. There was no statistically significant difference in the accuracy of CT diagnosis of left atrial appendage thrombosis and SEC between the three modes of the first phase, the second phase, and the double-phase comprehensive CT (). The mean effective radiation dose of double-phase enhanced scan was  mSv. Conclusion. Single-phase enhanced CT scan of left atrial pulmonary vein can meet clinical requirements and significantly reduce the radiation dose compared with double-phase enhanced CT scan. Therefore, it is recommended as an initial screening examination for patients with atrial fibrillation before radiofrequency ablation.
      PubDate: Sat, 14 May 2022 07:35:01 +000
  • Efficacy of Dapagliflozin Combined with Lifestyle Intervention in Obesity

    • Abstract: Objective. To explore the best treatment of obesity in middle and old age. Methods. 80 obese patients in our hospital from January 2020 to December 2021 were randomly divided into the control group and the intervention group according to the numerical table method. The control group was treated with lifestyle intervention, while the intervention group was treated with dapagliflozin combined with lifestyle intervention. The effects of body weight, body mass index (BMI), waist circumference, and blood lipids (LDL, HDL, TC, and TG) were measured and compared. Anxiety and depression scores were assessed using the 2018 Revised Anxiety and Depression Scale. Results. There were no significant differences in body weight, BMI, and waist circumference between the control group and the intervention group before treatment. After treatment, the weight, BMI, and waist circumference of the intervention group were lower than those of the control group, and the difference was statistically significant (). After treatment, LDL, TC, and TG in the two groups were decreased, and HDL was significantly increased (). After treatment, the blood lipid level in the intervention group was significantly lower than that in the control group (). Anxiety and depression symptoms improved in both groups, and there were no serious adverse effects. Conclusion. Dapagliflozin in combination with a lifestyle intervention effectively and safely treats excess weight in middle-aged and older adults, reverses obesity-related markers, and improves psychological symptoms. Its curative effect is better than that of using lifestyle intervention alone.
      PubDate: Fri, 13 May 2022 23:50:04 +000
  • The Levels of TNF-α, Tissue Factor, and Coagulation Function in Rats with
           Pulmonary Hypertension and the Intervention Effect of Sildenafil
           Encapsulated by Targeted Nanocarriers

    • Abstract: Pulmonary hypertension (PAH) is a proliferative disease of pulmonary blood vessels, but the pathogenesis of pulmonary hypertension is still unclear. This article explores the role of tumor necrosis factor-α (TNF-α), tissue factor (TF), and coagulation function (CF) in the pathogenesis of PAH. PAH is often accompanied by vascular intima injury and muscular arterial media thickening. Coupled with the wide application of nanotargeted drugs in recent years, a targeted nanocarrier encapsulating sildenafil was prepared in this study. The particle size, PDI, zeta potential, drug loading, and encapsulation efficiency were ,,, 24.61%, and 70.52%. The monocrotaline PAH rat model was constructed, and it was found that the levels of TNF-α, TF, and CF in the peripheral blood of PAH rats were abnormally increased. 30 PAH rats were randomly divided into 5 groups and injected with saline (NS group), sildenafil (sildenafil group), target the nanoempty carrier (TNC-E group), ordinary nanocarrier encapsulated sildenafil (CNC-sildenafil group), and targeted nanocarrier encapsulate sildenafil (TNC-sildenafil group). Compared with the NS group, the mean pulmonary artery pressure in the TNC-sildenafil group was lower (). Compared with the normal rat group, the pulmonary small blood vessel media thickness, TNF-α level, TF level, and the area of myocardial cells were increased in the NS group, sildenafil group, TNC-E group, and CNC-sildenafil group (). Compared with the NS group, the pulmonary small blood vessel media thickness, myocardial cell area, and the levels of TNF-α and TF in the TNC-sildenafil group were reduced (). Targeting nanocarrier encapsulation of sildenafil can obviously reduce the average pulmonary artery pressure in rats with pulmonary hypertension, improve pulmonary vascular media proliferation and myocardial hypertrophy, and restore the levels of TNF-α, TF, and CF to a normal state.
      PubDate: Fri, 13 May 2022 23:50:04 +000
  • Nursing Effect and Prognosis Analysis of Self-Management Education Model
           Based on Protective Motivation Theory on Patients with Hematological Tumor
           after PICC Catheterization

    • Abstract: Objective. To analyze the nursing effect and prognostic value of self-management education model based on protective motivation theory on patients with hematological malignancies (HM) after peripheral venous catheterization (PICC). Methods. A total of 90 patients with HMs treated with PICC catheterization in our hospital from October 2019 to October 2021 were included in the study. The patients were randomly assigned into experimental group () and control group (). On the basis of the control group, the experimental group implemented the self-management education model based on the theory of protective motivation, and the control group implemented routine nursing health education measures. The self-nursing ability scale (ESCA), Hamilton anxiety scale (HAMA), the average cost of PICC catheter maintenance, the incidence of PICC-related complications, and the score of Newcastle nursing satisfaction scale (NSNS) were observed 1 month before and after nursing. Results. After one month of nursing, there was no significant difference in ESCA self-concept (). After one month of nursing, the scores of self-care responsibility, self-nursing skills, and health knowledge in the experimental group were significantly higher compared to those before nursing () and higher compared to those in the control group (). After one month of nursing, the score of HAMA scale was significantly lower compared to that before nursing (), and the score of HAMA scale in the experimental group was lower compared to the control group (). After one month of nursing, the average cost of PICC pipeline maintenance in the test group was lower than that in the control group (). One month after nursing, the incidence of PICC-related complications in the experimental group was lower than that in the control group (). One month after nursing, the score of NSNS scale was significantly higher than that before nursing (). After one month of nursing, the score of NSNS scale in the experimental group was higher than that in the control group. Conclusion. The self-management education model based on protective motivation theory is effective in nursing patients with peripheral venous catheterization and PICC catheterization of HMs. It is more beneficial to promote patients’ self-nursing management ability, reduce anxiety, reduce the average cost of PICC pipeline maintenance, reduce the incidence of PICC-related complications, and enhance nursing satisfaction.
      PubDate: Fri, 13 May 2022 23:50:04 +000
  • Modelling the Role of Human Behaviour in Ebola Virus Disease (EVD)
           Transmission Dynamics

    • Abstract: The role of human behaviour in the dynamics of infectious diseases cannot be underestimated. A clear understanding of how human behaviour influences the spread of infectious diseases is critical in establishing and designing control measures. To study the role that human behaviour plays in Ebola disease dynamics, in this paper, we design an Ebola virus disease model with disease transmission dynamics based on a new exponential nonlinear incidence function. This new incidence function that captures the reduction in disease transmission due to human behaviour innovatively considers the efficacy and the speed of behaviour change. The model’s steady states are determined and suitable Lyapunov functions are built. The proofs of the global stability of equilibrium points are presented. To demonstrate the utility of the model, we fit the model to Ebola virus disease data from Liberia and Sierra Leone. The results which are comparable to existing findings from the outbreak of show a better fit when the efficacy and the speed of behaviour change are higher. A rapid and efficacious behaviour change as a control measure to rapidly control an Ebola virus disease epidemic is advocated. Consequently, this model has implications for the management and control of future Ebola virus disease outbreaks.
      PubDate: Fri, 13 May 2022 21:35:02 +000
  • A Three-Dimensional Cement Quantification Method for Decision Prediction
           of Vertebral Recompression after Vertebroplasty

    • Abstract: Objective. Proposing parameters to quantify cement distribution and increasing accuracy for decision prediction of vertebroplasty postoperative complication. Methods. Finite element analysis was used to biomechanically assess vertebral mechanics () after percutaneous vertebroplasty (PVP) or kyphoplasty (PKP). The vertebral space was divided into 27 portions. The numbers of cement occupied portions and numbers of cement-endplate contact portions were defined as overall distribution number (oDN) and overall endplate contact number (oEP), respectively. And cement distribution was parametrized by oDN and oEP. The determination coefficients of vertebral mechanics and parameters () can validate the correlation of proposed parameters with vertebral mechanics. Results. oDN and oEP were mainly correlated with failure load () and stiffness (), respectively. oDN, oEP, failure load, and stiffness had obvious difference between the PVP group and the PKP group (). The regional endplate contact number in the front column is most correlated with vertebral stiffness () among all regional parameters. Cement volume and volume fraction are not dominant factors of vertebral augmentation, and they are not suitable for postoperative fracture risk prediction. Conclusions. Proposed parameters with high correlation on vertebral mechanics are promising for clinical utility. The oDN and oEP can strongly affect augmented vertebral mechanics thus is suitable for postoperative fracture risk prediction. The parameters are beneficial for decision-making process of revision surgery necessity. Parametrized methods are also favorable for surgeon’s preoperative planning. The methods can be inspirational for clinical image recognition development and auxiliary diagnosis.
      PubDate: Thu, 12 May 2022 17:20:03 +000
  • Clinicopathological Characteristics of Nonfunctional Pancreatic
           Neuroendocrine Neoplasms and the Effect of Surgical Treatment on the
           Prognosis of Patients with Liver Metastases: A Study Based on the SEER

    • Abstract: Background. The incidence of nonfunctional pancreatic neuroendocrine neoplasms (NF-pNENs) has been increasing annually. This study is aimed at investigating the clinicopathological characteristics and high-risk factors of NF-pNENs and the influence of surgical treatment on the prognosis of NF-pNEN patients with liver metastases. Methods. pNEN patients in this study were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. This study analyzed patients diagnosed with NF-pNENs from 2000 to 2017 who met the inclusion criteria. A retrospective analysis of the clinicopathological characteristics of NF-pNEN patients was conducted. Kaplan-Meier method was used to calculate the survival time. A multivariate Cox regression model was used to analyze the survival outcomes and risk factors. Results. From 2000 to 2017, the SEER database registered 10576 patients with pNENs and 1774 patients with liver metastases. Cox analysis revealed that age, sex, primary site, grade, tumor stage, surgery, tumor size, and liver metastasis were risk factors of prognosis, with grade being the most influential index. Patients with NF-pNENs with liver metastasis and no metastasis had different primary site, grade, and tumor size. In general, a higher grade was associated with a larger tumor and a greater risk of liver metastasis. Meanwhile, patients with liver metastasis showed that those with tumors originated from the tail of the pancreas had better prognoses than those with tumors originated from other parts. Surgical treatment can improve the prognosis of patients with liver metastases, despite the tumor grade. Conclusions. The incidence of pNENs has been increasing annually, and the liver has been the most common site of metastasis. Liver metastasis in patients with NF-pNENs, related to tumor size and grade, affected their long-term survival. Surgery significantly improved the prognosis of patients with liver metastases secondary to NF-pNENs with different grades.
      PubDate: Thu, 12 May 2022 13:05:01 +000
  • Exploring the Association between Glutathione Metabolism and Ferroptosis

    • Abstract: Disused osteoporosis is a kind of osteoporosis, a common age-related disease. Neurological disorders are major risk factors for osteoporosis. Though there are many studies on disuse osteoporosis, the genetic mechanisms for the association between glutathione metabolism and ferroptosis in osteoblasts with disuse osteoporosis are still unclear. The purpose of this study is to explore the key genes and other related mechanism of ferroptosis and glutathione metabolism in osteoblast differentiation and disuse osteoporosis. By weighted gene coexpression network analysis (WGCNA), the process of osteoblast differentiation-related genes was studied in GSE30393. And the related functional pathways were found through the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. By combining GSE1367 and GSE100933 together, key genes which were separately bound up with glutathione metabolism and ferroptosis were located. The correlation of these key genes was analyzed by the Pearson correlation coefficient. GSTM1 targeted agonist glutathione (GSH) selected by connectivity map (CMap) analysis was used to interfere with the molding disused osteoporosis process in MC3T3-E1 cells. RT-PCR and intracellular reactive oxygen species (ROS) were performed. Two important pathways, glutathione metabolism and ferroptosis pathways, were found. GSTM1 and TFRC were thought as key genes in disuse osteoporosis osteoblasts with the two mechanisms. The two genes have a strong negative correlation. Our experiment results showed that the expression of TFRC was consistent with the negative correlation with the activation process of GSTM1. The strong relationship between the two genes was proved. Glutathione metabolism and ferroptosis are important in the normal differentiation of osteoblasts and the process of disuse osteoporosis. GSTM1 and TFRC were the key genes. The two genes interact with each other, which can be seen as a bridge between the two pathways. The two genes participate in the process of reducing ROS in disuse osteoporosis osteoblasts.
      PubDate: Thu, 12 May 2022 12:50:00 +000
  • Construction and Evaluation of Prognosis Prediction Model for Patients
           with Brain Contusion and Laceration Based on Machine Learning

    • Abstract: Objective. Finding valuable risk factors for the prognosis of brain contusion and laceration can help patients understand the condition and improve the prognosis. This study is aimed at analyzing the risk factors of poor prognosis in patients with brain contusion after the operation. Methods. A total of 136 patients with cerebral contusion and laceration combined with cerebral hernia treated by neurosurgical craniotomy in our hospital were retrospectively selected and divided into a training set () and a test set () by the 10-fold crossover method. Logistic regression and back-propagation neural network prediction models were established to predict poor prognosis factors. The receiver operating characteristic curve (ROC) and the calibration curve were used to verify the differentiation and consistency of the prediction model. Results. Based on logistic regression and back-propagation neural network prediction models, on admission,  ml, weeks, anticoagulants before admission, and surgical treatment are the risk factors that affect the poor prognosis of patients with a cerebral contusion after the operation. The area under the ROC was 0.816 (95% CI 0.705~0.926) and 0.819 (95% CI 0.708~0.931), respectively. Conclusion. The prediction model based on the risk factors that affect the poor prognosis of patients with brain contusion and laceration has good discrimination and accuracy.
      PubDate: Thu, 12 May 2022 11:50:02 +000
  • Meta-Analysis of the Diagnostic Value of Tracer Staining Technology Based
           on Nanocarbon Suspension in Sentinel Lymph Node Biopsy of Breast Cancer

    • Abstract: Objective. To evaluate the diagnostic value of the nanometer carbon suspension tracer staining technique in sentinel lymph node biopsy of breast cancer is the objective of this study. Methods. The PubMed, Embase, Cochrane Library (Central), and Web of Science (SCI Expanded), and Chinese databases (CNKI, VIP, Wan Fang, and CBM) were systematically searched for studies on the diagnostic value of nanocarbon suspension in sentinel lymph node biopsy of breast cancer. Two reviewers independently assessed the methodological quality of each study using the QUADAS-2 tool. The extracted valid data were calculated using Meta-Disc1.4 software and tested for heterogeneity. STATA14.0 software was selected for sensitivity analysis of the included studies, and publication bias was assessed using Deeks’ forest plot asymmetry test. Results. A total of 10 studies were obtained. The pooled data were as follows: sensitivity, 0.92 (0.88~0.95); specificity, 0.99 (0.98~1.00); positive likelihood ratio, 69.24 (30.34~158.02); negative likelihood ratio, 0.09 (0.06~0.13); and the combined diagnostic odds ratio, 747.40 (285.77~1954.76), . Nanocarbon suspension tracers have an accuracy rate of 98.81% in the diagnosis of sentinel lymph nodes in breast cancer. Conclusion. Tracer staining technology based on nanocarbon suspension can accurately assess the status of lymph nodes in sentinel lymph node biopsy of breast cancer and has good stability and operability, which is worthy of clinical promotion.
      PubDate: Thu, 12 May 2022 11:35:04 +000
  • The Application of Antimicrobial Photodynamic Therapy (aPDT) in the
           Treatment of Peri-Implantitis

    • Abstract: Background. This literature review evaluates the mechanisms and efficacy of different types of antimicrobial photodynamic therapy (aPDT) for treating peri-implantitis by reviewing existing experimental studies to provide guidance for the clinical application of antibacterial photodynamic therapy (aPDT) in oral implants. Materials and Methods. From February 2001 to February 2021, we have collected 152 randomized controlled trials of aPDT for peri-implantitis by searching the experimental studies and clinical trials published in PubMed, Embase, Web of Science, and Google Scholar databases via online search. After screening the retrieved literature, we finally selected 10 statistically significant literature for evaluation and review. Results. Compared with the traditional nonsurgical treatment of peri-implantitis, the aPDT was superior to the traditional mechanical irrigation treatment group in terms of periodontal indexes PD, BOP, PLI, and postoperative effect, and the difference was statistically significant (). Furthermore, the combination of the aPDT and other treatments shows the synergistic antibacterial effect, signifying better clinical effect in many aspects (). In these 10 papers, by comparing the probe depth (PD), bleeding on probing (BOP), synosteosis, and periodontal pathogenic bacteria detection, etc., obtained after treating peri-implantitis by application of the antimicrobial photodynamic therapy, and using the SPSS data analysis software for statistical data processing, we found that the antimicrobial photodynamic therapy combined with other periodontal treatments has a more prominent postoperative effect. Meanwhile, the antibacterial photodynamic therapy with targeted action of photosensitizer has strong specificity to some bacteria, while the synthetic photosensitize for antibacterial photodynamic therapy can show good inactivation effect on broad-spectrum periodontal anaerobes without side effect. Conclusion. The experimental studies and clinical data of antibacterial photodynamic therapy for treating peri-implantitis show a good postoperative treatment effect. In addition, it did not develop resistance due to the use of antibiotic drugs. Owing to multiple advantages from combining antibacterial photodynamic therapy and other treatments, it is applicable for clinical treatment.
      PubDate: Thu, 12 May 2022 08:20:01 +000
  • Clinical Value of Three-Dimensional Transvaginal Ultrasound in Diagnosis
           of Endometrial Receptivity and Ovarian Function in Patients with

    • Abstract: Objective. A case-control study was conducted to explore the clinical value of three-dimensional transvaginal ultrasound in the diagnosis of endometrial receptivity (ER) and ovarian function in patients with infertility. Methods. A total of 308 infertile women treated in our hospital from March 2020 to June 2021 were enrolled as the observation group, and another 300 women of childbearing age who underwent physical examination in the same period were enrolled as the control group. The clinical value of three-dimensional transvaginal ultrasound in ER in patients with infertility was analyzed by comparing the classification of endometrial and subendometrial blood perfusion, endometrial AUC value and Pi value, and subendometrial AUC value and Pi value. According to the number of oocytes obtained, the patients were assigned into the normal response group (182 cases, ≥5 oocytes) and the low response group (126 cases,
      PubDate: Wed, 11 May 2022 11:20:03 +000
  • Clinical Application of Echocardiography in Evaluating Left Ventricular
           Diastolic Function in Patients with Acute Pulmonary Embolism

    • Abstract: Objective. To explore the clinical application of echocardiography in assessing left ventricular diastolic function in patients with acute pulmonary embolism (APE). Methods. About 90 patients with APE treated in our hospital from March 2016 to March 2019 were enrolled as the study group. The enrolled patients were assigned into three groups in accordance with the risk stratification of APE, with 30 patients in each group, including high-risk group, medium-risk group, and low-risk group. Approximately 90 healthy persons who underwent physical examination in the same period were enrolled as the control group. The two groups were used to analyze the clinical value of echocardiography in evaluating left ventricular diastolic function in patients with APE and to explore the correlation between left ventricular diastolic function and different risk stratification of APE. Results. First of all, we compared the side values of echocardiography. Compared to the control group, right ventricular end-diastolic diameter/left ventricular end-diastolic diameter (RVED/LVED) and pulmonary artery systolic pressure (PASP) in the study group were higher, while left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular volume per stroke (LVSV), and left ventricular ejection fraction (LVEF) in the study group were lower (). Secondly, we compared the echocardiographic side values of patients with different APE risk stratifications: (1) RVED/LVED, PASP: ; (2) LVEDV, LVESV, LVSV, LVEF: (). The routine echocardiographic findings of APE patients: M-type left ventricular wave group of pulmonary embolism (PE) indicated right ventricular enlargement and interventricular septum shifted to the left ventricle; short-axis section of PE artery indicated thrombosis at the opening of the right pulmonary artery (indicated by arrow); long-axis section of the left ventricle of PE indicated right ventricular enlargement (RV 3.5 cm, LV 3.9 cm); four-chamber view of PE indicated enlargement of the right atrium and the right ventricle, and interventricular septum shifted like left ventricle. In terms of mitral annulus displacement, early diastolic ESD and ELD in the study group were lower compared to those in the normal control group, while late diastolic ASD and ALD in the study group were higher compared to those in the normal control group (). The results of Pearson correlation analysis indicated that there was a positive correlation between RVED/LVED, PASP, and APE risk stratification, while APE risk stratification was negatively correlated with LVEDV, LVESV, LVSV, and LVEF ().Conclusion. Echocardiography attaches importance to the evaluation of left ventricular diastolic function in APE. The side value of echocardiography can sensitively reflect the changes of left ventricular diastolic function in APE. The predictive value in the diagnosis of APE is better than other traditional parameters of left ventricular diastolic function, especially in patients with different APE risk stratifications. There is a remarkable correlation between the changes of left ventricular diastolic function and different APE risk stratifications. Echocardiographic measurement can be employed to assess left ventricular diastolic function in APE, which can be developed in clinical treatment and prognosis evaluation to provide a new evaluation method.
      PubDate: Wed, 11 May 2022 11:05:02 +000
  • Logistic Model and Gradient Boosting Machine Model for Physical Therapy of
           Lumbar Disc Herniation

    • Abstract: Objective. Physical therapy is a common clinical treatment for patients with lumbar disc herniation. The study is aimed at exploring the feasibility of mathematical expression and curative effect prediction of physical therapy in patients with lumbar disc herniation using a logistic model and gradient boosting machine (GBM). Methods. A total of 142 patients with lumbar disc herniation were treated with physical therapy. The pain was evaluated by the visual analogue scale (VAS) before each treatment. The logistic model was used to conduct a global regression analysis on patients with lumbar disc herniation. The final results of the whole course of treatment were predicted by the measured values of 2-9 times of treatment. The GBM model was used to predict and analyze the curative effect of physical therapy. Results. The mathematical expression ability of the logistic regression model for patients with lumbar disc herniation undergoing physical therapy was sufficient, and the global determination coefficient was 0.721. The results would be better for more than five measurements. The AUC of GBM mode logistic regression analysis was 0.936 and 0.883, and the prediction effect is statistically significant. Conclusion. Both the logistic and GBM model can fully express the changes in patients with lumbar disc herniation during physical therapy.
      PubDate: Wed, 11 May 2022 11:05:02 +000
  • Diagnosing Breast Cancer Based on the Adaptive Neuro-Fuzzy Inference

    • Abstract: In this work, a novel hybrid neuro-fuzzy classifier (HNFC) technique is proposed for producing more accuracy in input data classification. The inputs are fuzzified using a generalized membership function. The fuzzification matrix helps to create connectivity between input pattern and degree of membership to various classes in the dataset. According to that, the classification process is performed for the input data. This novel method is applied for ten number of benchmark datasets. During preprocessing, the missing data is replaced with the mean value. Then, the statistical correlation is applied for selecting the important features from the dataset. After applying a data transformation technique, the values normalized. Initially, fuzzy logic has been applied for the input dataset; then, the neural network is applied to measure the performance. The result of the proposed method is evaluated with supervised classification techniques such as radial basis function neural network (RBFNN) and adaptive neuro-fuzzy inference system (ANFIS). Classifier performance is evaluated by measures like accuracy and error rate. From the investigation, the proposed approach provided 86.2% of classification accuracy for the breast cancer dataset compared to other two approaches.
      PubDate: Wed, 11 May 2022 10:35:04 +000
  • Downregulation of LINC01857 Increases Sensitivity of Gastric Carcinoma
           Cells to Cisplatin

    • Abstract: Background. The critical roles of long noncoding RNAs (lncRNAs) in the carcinogenesis and progression of cancers have been well documented. It was reported that lncRNAs were involved in chemotherapy resistance in various cancers. This study was aimed at clarifying the role of LINC01857 in cisplatin (DDP) resistance in gastric carcinoma (GC). Methods. The Cancer Genome Atlas (TCGA) database was used to analyze the expression of LINC01857 in GC tissues and normal tissues. The expression of LINC01857 in GC cells and DDP-resistant GC cells was detected by qRT-PCR. Cell viability and IC50 value were evaluated using the MTT assay. Moreover, cell apoptosis, migration, and invasion were determined using flow cytometry and Transwell assays, respectively. The expression of apoptosis-related proteins was examined by western blot. Results. TCGA database analysis revealed that LINC01857 expression was elevated in GC tissues compared with the normal tissues. qRT-PCR showed that the expression of LINC01857 was significantly higher in DDP-resistant cells than in GC and normal gastric cells. Knockdown of LINC01857 reduced cell viability in DDP-resistant cells. Moreover, LINC01857 downregulation promoted cell apoptosis and inhibited cell migration and invasion in DDP-resistant GC cells. Conclusions. LINC01857 was highly expressed in GC. Additionally, LINC01857 knockdown could facilitate the sensitivity to DDP and apoptosis and repressed cell migration and invasion in DDP-resistant GC cells, which provided a novel therapeutic target for chemotherapy resistance of GC in clinical practice.
      PubDate: Wed, 11 May 2022 07:05:02 +000
  • High-Concentration Metformin Reduces Oxidative Stress Injury and Inhibits
           the Growth and Migration of Clear Cell Renal Cell Carcinoma

    • Abstract: Objective. To explore the mechanism of metformin in treating CCRCC. Methods. Prospective cohort study was conducted. SOD and cyclin D in six CCRCC samples donated by volunteers were detected to compare the degree of oxidative stress injury and the status of cell proliferation. 786-0 CCRCC cells were cultured in vitro with different concentrations of metformin, and MTT assay and Transwell cell migration and wound healing assay were used to detect their proliferation and migration. After culture, SOD and cyclin D in 786-0 CCRCC cells were also detected. Results. In the edge tissue, SOD was lower than in the tumor nest and normal tissue, and cyclin D was highly expressed. In grade II CCRCC, SOD was higher than in grade IV CCRCC, but cyclin D was also highly expressed in grade IV CCRCC. The cell proliferation rate and density of the metformin group were lower than the control group, while in the high-concentration metformin group, it was lower than medium- and low-concentration groups. After culture, the migration of 786-0 cells in the metformin group was significantly lower than that in the control group, the wound healing rate was decreased, and the migration and wound healing rates in the high-concentration metformin group were significantly lower than those in the medium- and low-concentration groups. However, the SOD of the metformin group was higher than the control group, but the cyclin D was lower, while the SOD was higher than medium- and low-concentration groups in the high-concentration group, but the cyclin D was lower after cultured. Conclusion. High-concentration metformin can reduce oxidative stress injury, increase the expression of SOD in CCRCC, and reduce cyclin D in CCRCC to inhibit proliferation and migration, which has optimistic prospects and application value in controlling the progression of CCRCC.
      PubDate: Tue, 10 May 2022 13:20:01 +000
  • Diagnosis of Lumbar Spondylolisthesis Using a Pruned CNN Model

    • Abstract: Convolutional neural network (CNN) models have made tremendous progress in the medical domain in recent years. The application of the CNN model is restricted due to a huge number of redundant and unnecessary parameters. In this paper, the weight and unit pruning strategy are used to reduce the complexity of the CNN model so that it can be used on small devices for the diagnosis of lumbar spondylolisthesis. Experimental results reveal that by removing 90% of network load, the unit pruning strategy outperforms weight pruning while achieving 94.12% accuracy. Thus, only 30% (around 850532 out of 3955102) and 10% (around 251512 out of 3955102) of the parameters from each layer contribute to the outcome during weight and neuron pruning, respectively. The proposed pruned model had achieved higher accuracy as compared to the prior model suggested for lumbar spondylolisthesis diagnosis.
      PubDate: Tue, 10 May 2022 13:20:01 +000
  • Development of a Bile Acid-Related Gene Signature for Predicting Survival
           in Patients with Hepatocellular Carcinoma

    • Abstract: Background. Hepatocellular carcinoma (HCC) is one of the most common diseases that threaten millions of lives annually. Evidence supports that bile acid (BA) affects HCC through inflammation, DNA damage, or other mechanisms. Methods. A total of 127 BA-associated genes were analyzed in HCC tumor and nontumor samples using The Cancer Genome Atlas data. Genes correlated to the prognosis of patients with HCC were identified using univariate and multivariate Cox regression analyses. Furthermore, a prediction model with identified genes was constructed to evaluate the risk of patients with HCC for prognosis. Results. Out of 26 genes with differential expressions between the HCC and nontumor samples, 19 and 7 genes showed upregulated and downregulated expressions, respectively. Three genes, NPC1, ABCC1, and SLC51B, were extrapolated to construct a prediction model for the prognosis of patients with HCC. Conclusion. The three-gene prediction model was more reliable than the pathological staging characters of the tumor for the prognosis and survival of patients with HCC. In addition, the upregulated genes facilitating the transport of BAs are associated with poor prognosis of patients with HCC, and genes of de novo synthesis of BAs benefit patients with HCC.
      PubDate: Tue, 10 May 2022 08:20:01 +000
  • Identification of Diagnostic Gene Markers and Immune Infiltration in
           Systemic Lupus

    • Abstract: Background. Systemic lupus erythematosus (SLE) is an autoimmune disease involving multiple organs, with atypical clinical manifestations and indefinite diagnosis and treatment. So far, the etiology of the disease is not completely clear. Current studies have known the interaction of genetic system, endocrine system, infection, environment, and other factors. Due to abnormal immune function, the human body, with the participation of various immune cells such as T cells and B cells, abnormally recognizes autoantigens, so as to produce a variety of autoantibodies and combine them to form immune complexes. These complexes will stay in the skin, kidney, serosa cavity, large joints, and even the central nervous system, resulting in multisystem damage of the body. The disease is heterogeneous, and it can show different symptoms in different populations and different disease stages; patients with systemic lupus erythematosus need individualized diagnosis and treatment. Therefore, we aimed to search for SLE immune-related hub genes and determine appropriate diagnostic genes to provide help for the detection and treatment of the disease. Methods. Gene expression data of whole blood samples of SLE patients and healthy controls were downloaded from the GEO database. Firstly, we analyzed and identified the differentially expressed genes between SLE and the normal population. Meanwhile, the single-sample gene set enrichment analysis (ssGSEA) was used to identify the activation degree of immune-related pathways based on gene expression profile of different patients, and weighted gene coexpression network analysis (WGCNA) was used to search for coexpressed gene modules associated with immune cells. Then, key networks and corresponding genes were found in the protein-protein interaction (PPI) network. The above corresponding genes were hub genes. After that, this study used receiver operating characteristic (ROC) curve to evaluate hub gene in order to verify its ability to distinguish SLE from the healthy control group, and miRNA and transcription factor regulatory network analyses were performed for hub genes. Results. Through bioinformatics technology, compared with the healthy control group, 2996 common differentially expressed genes (DEGs) were found in SLE patients, of which 1639 genes were upregulated and 1357 genes were downregulated. These differential genes were analyzed by ssGSEA to obtain the enrichment fraction of immune-related pathways. Next, the samples were selected by WGCNA analysis, and a total of 18 functional modules closely related to the pathogenesis of SLE were obtained. Thirdly, the correlation between the above modules and the enrichment fraction of immune-related pathways was analyzed, and the turquoise module with the highest correlation was selected. The 290 differential genes of this module were analyzed by GO and KEGG. The results showed that these genes were mainly enriched in coronavirus disease (COVID-19), ribosome, and human T cell leukemia virus 1 infection pathway. The 290 DEGs with PPI network and 28 genes of key networks were selected. ROC curve showed that 28 hub genes are potential biomarkers of SLE. Conclusion. The 28 hub genes such as RPS7, RPL19, RPS17, and RPS19 may play key roles in the advancement of SLE. The results obtained in this study can provide a reference in a certain direction for the diagnosis and treatment of SLE in the future and can also be used as a new biomarker in clinical practice or drug research.
      PubDate: Tue, 10 May 2022 06:20:01 +000
  • Clinical Value of the Prognostic Nutrition Index in the Assessment of
           Prognosis in Critically Ill Patients with Stroke: A Retrospective Analysis

    • Abstract: Purpose. The purpose of study was to evaluate the association between prognostic nutritional index (PNI) and all-cause mortality of critically ill patients with stroke. Methods. Clinical data derived from Multiparameter Intelligent Monitoring in Intensive Care were analyzed. The primary endpoint was 30-day all-cause mortality; secondary endpoints were 90-day mortality and one-year cause mortality. The potential prognostic roles of PNI were analyzed by Cox proportional hazard models. The independent prognostic roles of PNI in the cases were analyzed by smooth curve fitting. Results. Concerning 30-day mortality, the HR (95% CI) for a high PNI (≥39.7) was 0.700 (0.544, 0.900; ), compared to a low PNI (
      PubDate: Mon, 09 May 2022 17:35:04 +000
  • Clinical Effect of Side-Approach Laparoscopic Splenectomy for Neuropathic

    • Abstract: Objective. In order to investigate the clinical effect of side entry laparoscopic splenectomy in the treatment of splenomegaly caused by neurodegenerative diseases. Methods. 62 patients who underwent endoscopic splenectomy in our hospital from July 2020 to June 2021 were randomly divided into two groups, including 3 cases in the observation group and 31 cases in the reference group. Clinical trials were conducted to compare different laparoscopic surgery methods, and follow-up investigation records were made; the drainage time and drainage volume, postoperative bleeding volume, postoperative complications, and comprehensive effective rate of the two groups were observed and analyzed. Results. Most of the drainage volume in the observation group was less than 800 ml, and most of the drainage volume in the reference group was more than 500 ml. Compared with the reference group, the average drainage time of patients in the observation group was lower, mostly within 6 days, while the drainage time of patients in the reference group was more than 8 days. The amount of bleeding in the observation group was mostly about 500 ml, with the largest number in the range of 300-500 ml, while the amount of bleeding in the reference group was mostly 800 ml and above, with the largest number in the range of 500-800 ml. The incidence of complications in the observation group was lower than that in the reference group. The effective, markedly effective and comprehensive effective rates of patients in the observation group were higher than those in the reference group, and the ineffective rate and deterioration rate were also lower. Conclusion. The treatment of lateral laparoscopic splenectomy is very safe and effective and has obvious advantages, because it can reduce the occurrence of postoperative complications and provide a good basis for the recovery of patients. It is worthy to be widely used in clinical splenic surgery.
      PubDate: Mon, 09 May 2022 17:35:04 +000
  • Diagnosis of Heart Failure Complicated with Sleep Apnea Syndrome by
           Thoracic Computerized Tomography under Artificial Intelligence Algorithm

    • Abstract: The aim of this study was to explore the application effect of thoracic computerized tomography (CT) under single threshold segmentation algorithm in the diagnosis of heart failure (HF) complicated with sleep apnea syndrome. 30 patients diagnosed with HF complicated with sleep apnea syndrome were chosen for the research. Another 30 patients without sleep apnea syndrome were selected as the control group, whose age, height, and weight were similar to those of the experimental group. Then, a model for thoracic CT image segmentation was proposed under the single threshold segmentation algorithm, and the faster region convolutional neural network (Faster RCNN) was applied to label the thoracic respiratory lesions. All the patients underwent thoracic CT examination, and the obtained images were processed using the algorithm model above. After that, the morphology of the patient’s respiratory tract after treatment was observed. The results suggested that the improved single threshold segmentation algorithm was effective for the image segmentation of patient lesions, and the Faster RCNN could effectively finish the labeling of the lesion area in the CT image. The classification accuracy of the Faster RCNN was about 0.966, and the loss value was about 0.092. With CT scanning under the algorithm, it was found that the airway collapse of the posterior palatal area, retrolingual area, and laryngopharyngeal area of the sleep apnea syndrome patients was significantly greater than that of the control group (). But there was no significant difference of the collapse of the nasopharyngeal area between the two groups (). The single threshold segmentation algorithm had a better segmentation accuracy for thoracic CT images in patients with HF and sleep apnea syndrome, so it had a highly promising application prospect in the diagnosis of the disease.
      PubDate: Mon, 09 May 2022 17:35:03 +000
  • Drug-Drug Interactions Prediction Using Fingerprint Only

    • Abstract: Combination drug therapy is an efficient way to treat complicated diseases. Drug-drug interaction (DDI) is an important research topic in this therapy as patient safety is a problem when two or more drugs are taken at the same time. Traditionally, in vitro experiments and clinical trials are common ways to determine DDIs. However, these methods cannot meet the requirements of large-scale tests. It is an alternative way to develop computational methods for predicting DDIs. Although several previous methods have been proposed, they always need several types of drug information, limiting their applications. In this study, we proposed a simple computational method to predict DDIs. In this method, drugs were represented by their fingerprint features, which are most widely used in investigating drug-related problems. These features were refined by three models, including addition, subtraction, and Hadamard models, to generate the representation of DDIs. The powerful classification algorithm, random forest, was picked up to build the classifier. The results of two types of tenfold cross-validation on the classifier indicated good performance for discovering novel DDIs among known drugs and acceptable performance for identifying DDIs between known drugs and unknown drugs or among unknown drugs. Although the classifier adopted a sample scheme to represent DDIs, it was still superior to other methods, which adopted features generated by some advanced computer algorithms. Furthermore, a user-friendly web-server, named DDIPF (, was developed to implement the classifier.
      PubDate: Mon, 09 May 2022 17:35:03 +000
  • Timosaponin AIII Suppresses RAP1 Signaling Pathway to Enhance the
           Inhibitory Effect of Paclitaxel on Nasopharyngeal Carcinoma

    • Abstract: Although PTX has been identified as an effective drug for nasopharyngeal carcinoma (NPC) therapy, it has serious side effects in the human body. Previous studies have shown that timosaponin AIII (TSAIII) can inhibit the malignant progression of NPC cells. This study investigated the active mechanism of the combination of TSAIII and paclitaxel (PTX) on NPC. Cellular viability, apoptosis, apoptotic factors, and RAP1 signaling regulators were detected in the PNC cells (CNE-1 and HNE-2) and the subcutaneous CNE-1 transplanted nude mice treated with PTX or/and TSAIII. The results showed that TSAIII notably strengthened the inhibitory effect of PTX on the proliferation of NPC cells CNE-1 and HNE-2; upregulated the expression of Bax B-cell lymphoma 2 (Bcl-2)/Bcl-xL-associated death promoter (Bad), and Ras-associated protein1 (RAP1) GTPase activating protein (Rap1GAP); inhibited the level of Bcl-2, RAP1, and Ras guanine nucleotide releasing protein (RasGRP2); and significantly enhanced the promoting effect of PTX on apoptosis in the CNE-1 and HNE-2 cells. Besides, TSAIII strengthened the inhibitory effect of PTX on xenograft tumor in nude mice without adverse reactions. In conclusion, the combination administration of TSAIII and PTX had a significantly therapeutic effect on NPC and avoided the PTX’s side effects, which may have acted as a new direction for the study of therapeutic approaches for NPC clinically.
      PubDate: Mon, 09 May 2022 14:35:00 +000
  • Paeoniflorin Can Improve Acute Lung Injury Caused by Severe Acute
           Pancreatitis through Nrf2/ARE Pathway

    • Abstract: Objective. To evaluate the potential therapeutic effect of paeoniflorin on acute lung injury induced by severe acute pancreatitis (SAP) and to initially explore the possible protective mechanisms of paeoniflorin. Method. The SAP lung injury rat model was established by retrograde injection of 5% sodium taurocholate to the cholangiopancreatic duct. H&E staining was used to detect pathological changes in rat lung tissue. W/D ratio method, serum amylase (AMY), and lipase activity were used to assess the degree of lung injury in rats. Oxidation indicators such as LDH, MDA, and SOD in lung tissue were measured. Levels of inflammatory factors TNF-α, IL-6, and IL-10 were measured in bronchoalveolar lavage fluid (BALF). At the same time, Western blot was used to detect the expression of related proteins in the Nrf2/ARE signaling pathway. Results. In SAP rats, paeoniflorin treatment could significantly alleviate lung injury conditions such as pulmonary edema and inflammatory cell infiltration in lung tissue and reduce serum amylase and lipase activities. Paeoniflorin can reduce the content of LDH and MDA in lung tissue and increase the content of SOD. In addition, ELISA results showed that paeoniflorin could inhibit the levels of TNF-α and IL-6 in BALF and upregulate the levels of IL-10. Paeoniflorin could upregulate the expression of Nrf2/ARE signaling pathway proteins Cyt-Nrf2, HO-1, and NQO1 in lung tissue of SAP rats. Conclusion. Paeoniflorin may improve acute lung injury in rats with severe pancreatitis by inhibiting inflammation and oxidative stress response. These effects may be related to activating the Nrf2/ARE signaling pathway.
      PubDate: Mon, 09 May 2022 11:35:04 +000
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762

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