Multi-factor Regression Research Articles

MACROECONOMIC FACTORS INFLUENCING THE DEVELOPMENT OF UKRAINE’S FOREIGN TRADE

The purpose of the study is to assess the relationship between Ukraine's foreign trade and its major macroeconomic indicators in the context of deepening globalization processes and increasing dependence of national economic development on exogenous determinants. In order to achieve this goal, the most important factors of influence of macro level on the scale of foreign trade turnover have been selected, the interval of observations has covered 1999-2018. Authors used the method of economic and mathematical modeling based on the E-Views software. A multifactor regression model has been constructed, tested for autocorrelation and heteroskedasticity; causal effects have been identified between foreign trade and the main macroeconomic indicators of combinatorial nature (both exogenous and endogenous), Ukraine’s foreign trade volumes has been forecasted up to 2023. Methodology. The study is based on the analyzed macroeconomic indicators for the period of 1999-2018, which made it possible to select those that showed up greatest impact on foreign trade. The results of the conducted modeling showed: high level achievement of foreign trade dynamics of Ukraine over the mentioned years, which exceeded similar indicators of dynamics of global trade; strong link between foreign trade, foreign direct investment and employment; revealing of a significant influence upon foreign trade of innovative activity of national business in industry as a dominant segment of the foreign sector of the country. As conclusions, the authors formulated a thesis on the need to strengthen institutional support for innovation and investment activities of national enterprises as a driver for scale-up and improvement of quality of Ukraine's trade relations with the entire world. It is determined that the multiplicative interaction of innovation and investment would diversify and complicate the commodity structure of exports, increase the level of its technological and innovative nature, and thus it is to allow to get rid of the established attitude to Ukraine on the trading map of the world as a supplier of low-tech raw materials. Practical implications. The main theoretical propositions, the authors’ conclusions presented in the article, are supposed to form a methodological basis for expert evaluation in substantiating the priorities of the state policy modernization regarding conditions and factors promoting the export-oriented sectors of the national economy. Value/originality. Prospects for further research in this sphere may be to assumed onto making an assess on risks (threats) and macroeconomic effects of foreign trade deterioration in the context of declining economic activity regarding importing countries of their domestic products, especially in the EU and the PRC, further weakening of external channels of investment and reducing the ability of businesses to innovate in deepening recessionary processes on the global and national levels.

ABCC8 mRNA expression is an independent prognostic factor for glioma and can predict chemosensitivity

Glioma is the most common primary intracranial tumor and is associated with very low survival rates. The development of reliable biomarkers can help to elucidate the molecular mechanisms involved in glioma development. Here the expression of ABCC8 mRNA, clinical characteristics, and survival information based on 1893 glioma samples from four independent databases were analyzed. The expression patterns of ABCC8 mRNA were compared by a Chi square test. The overall survival rate of gliomas was evaluated according to the expression level of ABCC8 mRNA. The prognostic value of this marker in gliomas was tested using Cox single factor and multi factor regression analyses. We found patients with low WHO grade, oligodendrocytoma, low molecular grade, IDH mutation, and 1p19q combined deletion had high ABCC8 mRNA expression. The patients with high expression of ABCC8 mRNA had longer survival. ABCC8 mRNA expression was a new independent prognostic index for glioma. Temozolomide chemotherapy was an independent index to prolong overall survival in high ABCC8 mRNA expression glioma patients, whereas in patients with low expression, there was no significant difference. So ABCC8 mRNA expression could be an independent prognostic indicator for glioma patients and could predict the sensitivity of glioma to temozolomide.

Are There Differences in the Response of Natural Stand and Plantation Biomass to Changes in Temperature and Precipitation? A Case for Two-Needled Pines in Eurasia

A comparative discussion of the advantages and disadvantages of natural stands and plantations, including in terms of their productivity and stability, began from the moment of the first forest plantings and continues to this day. In the context of the progressive replacement of natural forests by plantations due to deforestation, the question of how will change the carbon storage capacity of forest cover when replacing natural forests with artificial ones in a changing climate becomes extremely relevant. This article presents the first attempt to answer this question at the transcontinental level on a special case for two-needled pine trees (subgenus Pinus L.). The research was carried out using the database compiled by the authors on the single-tree biomass structure of forest-forming species of Eurasia, in particular, data of 1880 and 1967 of natural and plantation trees, respectively. Multi-factor regression models are calculated after combining the matrix of initial data on the structure of tree biomass with the mean January temperature and mean annual precipitation, and their adequacy indices allow us to consider them reproducible. It is found that the aboveground and stem biomass of equal-sized and equal-aged natural and plantation trees increases as the January temperature and precipitation rise. This pattern is only partially valid for the branches biomass, and it has a specific character for the foliage one. The biomass of all components of plantation trees is higher than that of natural trees, but the percent of this excess varies among different components and depends on the level of January temperatures, but does not depend at all on the level of annual precipitation. A number of uncertainties that arose during the modeling process, as well as the preliminary nature of the obtained regularities, are noted.

Prevalence and risk factors of small airway dysfunction, and association with smoking, in China: findings from a national cross-sectional study

Small airway dysfunction is a common but neglected respiratory abnormality. Little is known about its prevalence, risk factors, and prognostic factors in China or anywhere else in the world. We aimed to estimate the prevalence of small airway dysfunction using spirometry before and after bronchodilation, both overall and in specific population subgroups; assess its association with a range of lifestyle and environmental factors (particularly smoking); and estimate the burden of small airway dysfunction in China. From June, 2012, to May, 2015, the nationally representative China Pulmonary Health study invited 57 779 adults to participate using a multistage stratified sampling method from ten provinces (or equivalent), and 50 479 patients with valid lung function testing results were included in the analysis. We diagnosed small airway dysfunction on the basis of at least two of the following three indicators of lung function being less than 65% of predicted: maximal mid-expiratory flow, forced expiratory flow (FEF) 50%, and FEF 75%. Small airway dysfunction was further categorised into pre-small airway dysfunction (defined as having normal FEV1 and FEV1/forced vital capacity [FVC] ratio before bronchodilator inhalation), and post-small airway dysfunction (defined as having normal FEV1 and FEV1/FVC ratio both before and after bronchodilator inhalation). Logistic regression yielded adjusted odds ratios (ORs) for small airway dysfunction associated with smoking and other lifestyle and environmental factors. We further estimated the total number of cases of small airway dysfunction in China by applying present study findings to national census data. Overall the prevalence of small airway dysfunction was 43·5% (95% CI 40·7-46·3), pre-small airway dysfunction was 25·5% (23·6-27·5), and post-small airway dysfunction was 11·3% (10·3-12·5). After multifactor regression analysis, the risk of small airway dysfunction was significantly associated with age, gender, urbanisation, education level, cigarette smoking, passive smoking, biomass use, exposure to high particulate matter with a diameter less than 2·5 μm (PM2·5) concentrations, history of chronic cough during childhood, history of childhood pneumonia or bronchitis, parental history of respiratory diseases, and increase of body-mass index (BMI) by 5 kg/m2. The ORs for small airway dysfunction and pre-small airway dysfunction were similar, whereas larger effect sizes were generally seen for post-small airway dysfunction than for either small airway dysfunction or pre-small airway dysfunction. For post-small airway dysfunction, cigarette smoking, exposure to PM2·5, and increase of BMI by 5 kg/m2 were significantly associated with increased risk, among preventable risk factors. There was also a dose-response association between cigarette smoking and post-small airway dysfunction among men, but not among women. We estimate that, in 2015, 426 (95% CI 411-468) million adults had small airway dysfunction, 253 (238-278) million had pre-small airway dysfunction, and 111 (104-126) million had post-small airway dysfunction in China. In China, spirometry-defined small airway dysfunction is highly prevalent, with cigarette smoking being a major modifiable risk factor, along with PM2·5 exposure and increase of BMI by 5 kg/m2. Our findings emphasise the urgent need to develop and implement effective primary and secondary prevention strategies to reduce the burden of this condition in the general population. Ministry of Science and Technology of China; National Natural Science Foundation of China; National Health Commission of China.

Study of the diagnostic significance of telomere length in patients with cerebral atherosclerosis

Cerebrovascular diseases are one of the most important causes of morbidity and mortality in the adult population.Objective – to determine the relationship between telomere length and lipid spectrum, structural and functional state of the heart and cerebral vessels and heart rate variability in patients with 1–3 degree cerebral atherosclerosis (CA).Materials and methods. In a comprehensive clinical and instrumental study, 161 patients with 1–3 degree CA were enrolled. Telomerase activity was determined using a real-time tandem repeat amplification protocol. The relative lengths of telomeres were measured by multiplex quantitative polymerase chain reaction in real time.Results. Patients were divided into 2 groups: І – with CA of 1–2 degree, ІІ – with CA of 3 degree (who had suffered an ischemic atherothrombotic stroke (AS)). Mean age was 65.1 ± 10.5 and 65.4 ± 9.1 years, respectively. The proportion of men was 21.2 % in group I and 52 % in group II. To identify the factors that influence telomere size as a marker of early aging, the method of constructing logistic regression models was used. In building the models, the following categories were used: shorter telomere length – T/S <2.61 (low and medium tertiles); longer telomere length – T/S over 2.61. For a set of significant risk factors selection, the method of step-by-step inclusion / exclusion of signs was used (stepwise exclusion threshold value of P > 0.15 and inclusion threshold value of P < 0.03). A multivariate logistic regression model was developed based on the identified significant risk factors. A statistically significant positive relationship was found between the telomere length and both the E/A index (diastolic function of the heart) and LPVLD, as well as negative relationship with both the EF and the intima-media complex (IMC) on the right.Conclusions. Telomere length is comparable in elderly patients with 1–2 degree CA and those who suffered an ischemic atherothrombotic stroke. Based on the multifactor regression analysis, the relationship between telomere length and LPVLD, IMC, EF and LV diastolic function was detected in patients at different stages of CA, including type 2 diabetes (AUC = 0.79 (CI 0.69–0.87)).

Association of high-resolution computed tomography score with ventilator weaning and 28-day mortality of patients with acute respiratory distress syndrome.

ObjectiveThis study was performed to explore the association of the high-resolution computed tomography (HRCT) score with ventilator weaning and 28-day mortality of patients with acute respiratory distress syndrome (ARDS).MethodIn total, 197 patients treated for ARDS from October 2004 to December 2015 were retrospectively analyzed. Univariate analysis and multifactor regression analysis were used to determine the relationship of the HRCT score with ventilator weaning and 28-day mortality. Curve-fitting analysis and threshold analysis were further used to explore the association of the HRCT score with ventilator weaning and 28-day mortality.ResultsThe multifactor regression analysis showed that the HRCT score was significantly associated with a lower rate of ventilator weaning and a higher risk of 28-day mortality in patients with ARDS. HRCT scores of 257.0 and 243.2 were the thresholds for ventilator weaning and 28-day mortality, respectively. When the HRCT score was below the threshold, every 1-point increase in the HRCT score was associated with a 4.6% decrease in the ventilator weaning rate and a 4.6% increase in the 28-day mortality rate.ConclusionThe HRCT score was associated with ventilator weaning and 28-day mortality with a threshold of 257.0 and 243.2 points, respectively.

Salivary Cystatin SN Is a Factor Predicting Iron Bioavailability in Phytic Acid Rich Meals

Abstract Objectives Phytic acid is an inhibitor of iron bioavailability, but recent research has suggested that individuals may adapt to phytic acid, and that the salivary protein, cystatin SN, may play a role. Study objectives were: 1) to assess the relationship between cystatin SN levels and iron bioavailability during a phytic acid rich meal, and 2) whether cystatin SN would differ among participants with greater vs. lower iron bioavailability overall. Methods Three groups of ten women received meals with: 1) 500 mg phytic acid powder sprinkles 2) 500 mg phytic acid capsules, or 3) no phytic acid. Meals included 18 mg iron. Pre-meal, hemoglobin, iron, ferritin, total iron binding capacity, transferrin saturation, and C - reactive protein were measured from venous blood. Iron bioavailability was measured by the mealtime percentage of maximum iron recovery (% max iron absorption); cystatin SN was measured pre-and post-meal by enzyme-linked immunosorbent assay. All participants completed 3–24 hour dietary recalls. Data were analyzed by multifactor regression analysis and ANOVA. Results There were no significant differences in group dietary intake (P > 0.05). The % max iron absorption was not different among groups; after adjustment, there was significantly greater % max iron absorption in Groups 2 and 3, compared to 1 (P = 0.03, P = 0.004, respectively). Unadjusted pre-to-post meal cystatin SN levels were significantly and positively correlated with improved iron bioavailability in Group 1 (P = 0.046, R2 = 0.4), but not Groups 2 or 3. After adjusted modeling, pre-to-post meal cystatin SN was significantly associated with improved % max iron absorption in Groups 1 and 2 (P's < 0.0001). Overall, there were significantly greater pre-to-post meal cystatin SN levels in participants with % max iron absorption greater, compared to less than 12% (10.2 ± 20.6 vs. −20.5 ± 13.5, respectively, P = 0.01). Conclusions There was a significant relationship between improved iron bioavailability and pre-to-post meal Cystatin SN levels with phytic acid rich meals. Overall, participants with greater meal iron bioavailability had significantly greater pre-to-post meal cystatin SN recovery. Cystatin SN may be a physiological factor in predicting iron bioavailability with phytic acid rich meals. Funding Sources Funded by Wichita State University's School of Nursing.

Mathematical models of functions of partial criteria in tasks of vectorial optimization of complex technical systems

The article is devoted to different approaches in constructing regression models of functions of partial criteria in vector optimization problems, basic requirements for models, problems that arise in the subsequent application of models and methods of their solution. Multifactor regression models for the synthesis of complex technical systems are created on the basis of experimental procedures. Models are created for each individual criterion based on the relevant experimental data. The obtained models allow to determine numerical values of partial criteria in given ranges of conceptual parameters of a complex technical system, which are used in the subsequent stages of solving the problem of vector optimization. The necessity to perform these procedures is caused by the fact that when solving an optimization task in relation to complex systems, the analytical dependencies of criteria on optimization arguments are unknown. The polynomial form of regression models is used as approximating polynomials. To ensure good conditionality of the experimental data matrix, standard transformations are performed. The polynomials of Chebyshev of the first and second order are used for this purpose. Unknown polynomial coefficients are calculated using the least squares method. In order to obtain regression models, a complex evaluation of statistical characteristics based on regression analysis results is performed. Then it is decided whether the models can be used to synthesize many alternatives of a complex technical system optimization criterion. The choice of instrumental and methodical devices for scientific and applied researches, engineering works is one problem during the solution of vector optimization problems. In the article it has been stated that nowadays there is a great number of methods and software products which provide wide opportunities for solving vector optimization problems and carrying out different types of data analysis. For example, SPSS, PS PRIAM, STATISTICA, ProSto are the most acceptable and effective, as well as the use of a large number of existing and new modules based on the integrated package of Microsoft Office. This helps to solve a wide range of problems, starting with the procedure of building a regression model of some criteria based on the data from the experiments, the calculation acceptable variants of system and ending with the choice of the residual compromise optimal solution.

MP44-12 SHALL WE RE-EVALUATE THE RELATIONSHIP BETWEEN BMI, AGE AND OUTCOMES OF MICROSURGICAL VASOEPIDIDYMOSTOMY: A MULTIPLE-FACTOR ANALYSIS OF 181 PATIENTS UNDERWENT MICROSURGICAL VASOEPIDIDYMOSTOMY BY A SINGLE SURGEON

You have accessJournal of UrologyInfertility: Therapy I (MP44)1 Apr 2020MP44-12 SHALL WE RE-EVALUATE THE RELATIONSHIP BETWEEN BMI, AGE AND OUTCOMES OF MICROSURGICAL VASOEPIDIDYMOSTOMY: A MULTIPLE-FACTOR ANALYSIS OF 181 PATIENTS UNDERWENT MICROSURGICAL VASOEPIDIDYMOSTOMY BY A SINGLE SURGEON Kai Hong*, Shouyang Wang, Haitao Zhang, Hui Jiang, and Lulin Ma Kai Hong*Kai Hong* More articles by this author , Shouyang WangShouyang Wang More articles by this author , Haitao ZhangHaitao Zhang More articles by this author , Hui JiangHui Jiang More articles by this author , and Lulin MaLulin Ma More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000899.012AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Single-armed two-suture vasoepididymostomy (VE) technique has been widely used, which proved to be one of effective and safe surgical options for the treatment of obstructive azoospermia (OA) caused by primary epididymal obstruction. Factors which may affect outcomes of VE has been reported. However, some of those factors become not much important to the outcomes of VE with the improvement of surgical technic and the accumulating experience of surgeons. We focused on the new-interested factors of BMI and age affecting the surgical outcome of VE and evaluated their clinical value in improving the patency rate. At the same time, other factors what might affect the outcomes were re-evaluated. METHODS: 181 azoospermia patients cause by primary epididymal obstruction who underwent single-armed two-suture longitudinal intussusception microsurgical VEs by a single surgeon (KH) at Peking University Third Hospital, Beijing, China from September 2014 to September 2017 were followed up consecutively. Body mass index (BMI), age, together with other five factors such as methods of bilateral or unilateral anastomosis, anastomosis sites, the motility and quantity of sperms found in epididymal fluid intraoperatively, what were possibly related to the patency rates were analyzed. RESULTS: Among 181 patients, 159 (87%, 159/181) patients were followed through either telephone calls or interview. 22 patients were lost to follow-up. The mean follow-up time was 27 (12 ∼ 48) months. Patency was defined by finding sperms in semen analyses or natural impregnation during the follow-up. The patency rate was 73.0% (116/159). Then, with the logistic regression multifactor analysis, we confirmed that factors of BMI and age were related to a higher patency rate (P = 0.008 and 0.028, respectively). A younger age and a lower BMI score appeared to be associated with a higher patency rate (OR = 3.531 and 2.352, 95% CI = 1.397, 8.924 and 1.095, 5.054, respectively). CONCLUSIONS: BMI and age were confirmed to be independent influencing factors for the outcomes of microsurgical VEs on humans when the technology matured and the surgeons were experienced. We suggest patients take microsurgical VE before 28 years old and control their BMI under 26 to achieve better surgical outcomes. Other factors analyzed in this study appeared no significant relationship with patency. Source of Funding: 1. Beijing Municipal Natural Science Foundation 2. National Key Research and Development Program of China © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e661-e661 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Kai Hong* More articles by this author Shouyang Wang More articles by this author Haitao Zhang More articles by this author Hui Jiang More articles by this author Lulin Ma More articles by this author Expand All Advertisement PDF downloadLoading ...

The Dependence of Implicit Solvent Model Parameters and Electronic Absorption Spectra and Photoinduced Charge Transfer

In this work, the relationship between multiple solvent parameters and charge transfer index was analyzed by multi-factor multi-variate partial least squares regression (PLSR). The charge transfer of the molecule is visualized by the analysis of the excited state wave function. Hydrogen bond basicity and surface tension can significantly affect charge transfer by studying the solvation model parameters and charge transfer index. Finally, a method in which a solvent regulates charge transfer strength and migration length is proposed.

Abstract P6-14-10: A retrospective study of peri-prosthesis infection after prosthesis based breast reconstruction in a single breast center in east China and impact of an evidence-based protocol

Abstract Purpose To investigate the status of surgical site infection after prosthesis-based breast reconstruction in a single center and evaluate the role of an evidence-based protocol in infection control in immediate prosthesis-based breast reconstruction. Method Two cohorts are included in our study. In the first cohort, a retrospective analysis of consecutive post-mastectomy prosthesis-based reconstructions performed between June of 2010 and April of 2018 at Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine was performed. We reviewed clinicopathological information and the surgical outcomes through the medical record and questionnaire. Then we developed an evidence-based perioperative infection prevention protocol marked by preoperative decolonization and sterility optimization according literatures. In the second cohort, patients had undergone prosthesis-based breast reconstruction after protocol implementation between July of 2018 and April of 2019. We compared the surgical outcomes between this two cohort. In this study a patient was considered to have infection if she had any of these: (1) local inflammatory symptoms in breast that requires intravenous antibiotics or surgical intervention, (2) purulent drainage, (3) pathogenic culture positive. Infections requiring surgical intervention were defined as severe infections. T test was used to analyze quantitative data, Fisher’s two-tailed exact test was used to compare qualitative data. A multi-factor logistic regression analysis was used to analyze risk factors. Results In the first cohort,108 reconstruction procedures were performed among 93 patients. Median follow-up time was 17.5 months. The infection rate was 23.1%(25/108). Three prosthesis were explanted at postoperative 30 days, 50 days and 15 months respectively. The prosthesis salvage rate and total explantation rate were 88%(22/25), 2.8%(3/108) respectively. Culture was performed in only 17 patients with 24 samples. Pathogens were found in 4 samples: S.aureus(n=2), enterococci(n=1) and serratia marcescens(n=1). The average duration of prophylactic antibiotics was 5.4±3.9 days. Cephalosporin was the main prophylactic antibiotics. Therapeutic antibiotics for infected patients were mainly based on empirical agents, with vancomycin widely used. A multi-factor regression analysis indicated that large volume prothesis (V>400CC) was an independent risk factor of severe infection (p<0.05). After the protocol was implemented, 48 breasts were reconstructed among 45 patients. Median follow-up time was 6.5 months. Only one patient was considered as infection for tissue expander exposure following nipple necrosis. Overall, the rate of infection reduced significantly from 23.1% (25/108) to 2.1%(1/48) (P = 0.001). Conclusions Our single center data indicated that incidence of peri-prosthesis infection seems high in medium-sized hospitals in eastern China, but explantation rate is still very low. The evidence-based protocol was associated with a significant decline in infection rates among prosthesis-based breast reconstruction patients. In addition, there are many urgent problems such as inadequate application of prophylactic antibiotics, poor awareness of bacterial culture. We will continue to use this protocol in our practice to control infection. Table 1. Schematic of evidence-based protocolPreoperativeIntraoperativePostoperative*nasal swab culture*intravenous cefazolin(swab negative)or vancomycin(swab MRSA)* prophylactic antibiotics for 24 hours* chlorhexidine* chlorhexidine prep*drain removal in 3 weeks after surgery*intranasal mupirocin*glove change*re-draping*prosthesis minimal touch*betadine and antibiotics (cefazolin, gentamicin) irrigation* betadine and antibiotics rinse pocket*dermabond dressing for incision and drains Citation Format: Liu Jian, Guo Jufeng, Hu Shufang, Nie Shijiao, Chen Qiong, Wang Shuying. A retrospective study of peri-prosthesis infection after prosthesis based breast reconstruction in a single breast center in east China and impact of an evidence-based protocol [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-14-10.

Identification of Prognostic Immune Genes in Bladder Urothelial Carcinoma.

Background The aim of this study is to identify possible prognostic-related immune genes in bladder urothelial carcinoma and to try to predict the prognosis of bladder urothelial carcinoma based on these genes. Methods The Cancer Genome Atlas (TCGA) expression profile data and corresponding clinical traits were obtained. Differential gene analysis was performed using R software. Reactome was used to analyze the pathway of immune gene participation. The differentially expressed transcription factors and differentially expressed immune-related genes were extracted from the obtained list of differentially expressed genes, and the transcription factor-immune gene network was constructed. To analyze the relationship between immune genes and clinical traits of bladder urothelial carcinoma, a multifactor Cox proportional hazards regression model based on the expression of immune genes was established and validated. Results Fifty-eight immune genes were identified to be associated with the prognosis of bladder urothelial carcinoma. These genes were enriched in Cytokine Signaling in Immune System, Signaling by Receptor Tyrosine Kinases, Interferon alpha/beta signaling, and other immune related pathways. Transcription factor-immune gene regulatory network was established, and EBF1, IRF4, SOX17, MEF2C, NFATC1, STAT1, ANXA6, SLIT2, and IGF1 were screened as hub genes in the network. The model calculated by the expression of 16 immune genes showed a good survival prediction ability (p < 0.05 and AUC = 0.778). Conclusion A transcription factor-immune gene regulatory network related to the prognosis of bladder urothelial carcinoma was established. EBF1, IRF4, SOX17, MEF2C, NFATC1, STAT1, ANXA6, SLIT2, and IGF1 were identified as hub genes in the network. The proportional hazards regression model constructed by 16 immune genes shows a good predictive ability for the prognosis of bladder urothelial carcinoma.

Methodical bases of definition of level of economic safety of the motor transport enterprise

Purpose. The aim of the article is deepening of theoretical bases and development of methodical recommendations on definition of level of economic safety of the motor transport enterprise and the prevention of threats of loss of economic safety by it. Methodology of research. The methodological basis of the article is the general provisions of economic theory, the work of economists on economic efficiency of production and economic security of enterprises. The following methods are used to analyse the state and main trends of economic security of the enterprise: the method of correlation and regression analysis - to determine the unknown parameters in matrix form and the vector of unknown parameters; methods of economic and mathematical modelling - for calculation of unknown parameters of multifactor regression. Findings. Methodical bases of definition of level of economic safety of the motor transport enterprise consisting of three blocks are developed: an estimation of a current condition of economic activity, a choice of factors of influence on economic safety and determining the level of economic security of the transport enterprise, each of which contains a set of actions, the implementation of which ensures the transition to the next block. Originality. Theoretical provisions are substantiated and the block diagram of definition of level of economic safety of the motor transport enterprise which is based on comparison of net operating incomes and operating expenses of the motor transport enterprise is developed. When the net operating income exceeds the total operating costs, the economic activity of the trucking company becomes profitable. But in order to talk about the economic security of its operating activities, the company needs a certain level of income that will cover the unforeseen costs associated with the influence of internal and external factors – “safety margin”. Practical value. The obtained results allow determining the level of economic security of motor transport enterprises and serving as a basis for further studies of the impact of internal and external factors on their activities and the mechanism for ensuring the success of these enterprises in the long term. Key words: economic security, motor transport enterprise, safety margin, levels of economic security, transition zone, vector of unknown parameters.

Estimation and modeling of the influence of weather and climatic conditions on the yield of winter wheat

The article considers the agro-climatic conditions of winter wheat cultivation under different feed options in Ukraine. It gives a detailed analysis of the air temperature change, precipitation, relative humidity and their mixed effect on winter wheat productivity for each phase of field crop development, as well as changes in climate fertility and crop efficiency in the modern climate period (2012-2016). The main sample characteristics of the interaction results of wheat varieties are found and the multifactor regression of yield dependence on hydrometeorological factors is formed. Keywords: yield, agroclimatic conditions; winter wheat; regression; correlation.

Pregnancy outcomes and risk factors in pregnant women with systemic lupus erythematosus

Objective: To analyze the pregnancy outcomes and risk factors in pregnant women with systemic lupus erythematosus (SLE), for providing a reference for the clinical diagnosis and treatment of the SLE. Materials and Methods: Seventy-eight SLE patients with 82 pregnancies were enrolled in this study. The general information of patients, maternal history data, clinical symptoms, and laboratory examination data one to three months before pregnancy, during pregnancy, at delivery and after childbirth, drug treatment, and pregnancy outcomes were collected. The single factor and logistic regression analyses of the risk factors related to SLE with deterioration and fetal loss were performed. Results: The single-factor analysis showed that there was significant difference in complement 3, 24-hour urinary protein, anti-dsDNA antibody, anti-CL antibody, pre-pregnancy prednisone dose, and SLE disease activity index (SLEDAI) between SLE with deterioration group and SLE without deterioration group, respectively (p &lt; 0.05 or p &lt; 0.01), with significant difference in complement 3, combined antiphospholipid syndrome (APS), SLEDAI, and SLE deterioration during pregnancy between fetal loss group and live birth group, respectively (p &lt; 0.01). The multi-factor regression analysis showed that, the complement 3 and SLEDAI were the main risk factors of SLE with deterioration during pregnancy, and the combined APS and SLEDAI were the main risk factors of fetal loss. Conclusion: The pregnancy has a high risk in women with SLE. The complement 3 and SLEDAI are the main risk factors of SLE with deterioration during pregnancy, and the combined APS and SLEDAI are the main risk factors of fetal loss. The reasonable and effective strategies should be formulated based on these factors, in order to reduce the risk of adverse pregnancy outcomes.

State Financial Management as the Basis for Innovative Development: Cross-Country Analysis

A key element in ensuring effective public activity is the management of state financial resources and coordination of its financial flows. Given the rapid pace of innovative technologies development and the formation of the course of countries’ development towards global digitalization, there is a need to study the relationship between the level of innovative development of the country and its state financial management. This article summarizes the arguments and counterarguments within the scientific discussion on the place and prospects of state participation in the formation of the basis for innovative development. The main purpose of the study is to confirm the hypothesis about the functional links between the main components of budgetary resources and the level of innovative development of the country. In this regard, the array of input data is presented in the form of nine independent variables (regressors) and two dependent variables (regressands). Four of the independent variables denote individual budget revenue items, and five – expenditure, while the dependent variables (regressands) identify the level of innovation development countries. The study of the impact of state financial resources on the level of innovative development of the country is carried out in the following logical sequence: the formation of an array of input data; formalization of functional relationships between variables by constructing two-panel multifactor regression models with random effects and interpretation of the obtained results. The object of the study is nine CIS countries and their closest neighbors. The study period covered 2011-2018. The study empirically confirms the above hypothesis, which is evidenced by the following identified dependences. The level of innovation development (presented by the Innovation index) depends on changes in the structure of the state budget, in particular in direct proportion to the Compensation of employees and inversely in proportion to the items Revenue and Other expense. At the same time, the change in research and development expenditures of the country is directly proportional to the items Compensation of employees and Subsidies and other transfers, and inversely proportional to item Tax revenue and expense. The results of the study could be useful for public authorities that provide public financial management and seek to optimize activities to support innovative development. Keywords: state financial management, government expenses, government revenues, innovative development, CIS countries, regression analyses.

A retrospective study of the effectiveness of ulinastatin in the treatment of sepsis

Background: Ulinastatin (UTI) as a urinary trypsin inhibitor can inhibit the function of various enzymes. UTI has been shown to reduce the inflammatory response, suppress lymphocyte apoptosis, and improve the microcirculation, protecting the organs. However, there is no uniform recommended dose to use UTI on treating sepsis, and some studies indicate that UTI has dose-dependent effects, we aimed to explore the effects and appropriate dosage of UTI in sepsis treatment. Methods: Patients with sepsis in the intensive care unit (ICU) of the First Affiliated Hospital of Xi’an Jiaotong University from January 2012 through December 2017 were enrolled. We collected basic data, treatments, and outcomes. All patients were divided into two groups: the UTI group and the control group. Data analysis was performed with the chi-square test, t -test, and Cox multifactor regression analysis. Results: A total of 295 patients (181 males; mean age 59.98±17.78 years) were enrolled. Univariate Cox regression analysis showed that the hazard ratio (HR) for mortality with UTI treatment was 0.805 (95% confidence interval: 0.530–1.222, P>0.05). After adjustment, there are 13 factors that might affect prognosis with multivariable Cox regression analysis, the adjusted HR for mortality with UTI treatment was 0.560 (95% confidence interval: 0.346–0.906, P 4 U), the adjusted HR for mortality with UTI treatment was 0.370 (95% confidence interval: 0.204–0.672, P=0.001). And with the rising of cumulative dose (≥120×10 4 U), the adjusted HR for mortality with UTI treatment was 0.418 (95% confidence interval: 0.224–0.781, P Conclusions: Cox regression analysis showed that higher maximum dose, cumulative dose, and days of UTI use increased the protective effect. UTI reduced the HR for death in patients with sepsis. When the cumulative dose of UTI was less than 1,200,000 IU and the treatment duration was less than 5 days, there was no significant effect on the HR for death in patients with sepsis.

Improvement of the innovation management system in the manufacturing industry

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. The article identifies the factors that have the greatest impact on the development of innovation in the manufacturing industry. A multi-factor regression model is constructed to determine the degree of influence of various socio-economic factors on the level of innovation development in manufacturing industries. An organizational and economic mechanism aimed at enhancing innovation in the manufacturing industry and increasing the competitiveness of the products of enterprises in this sector is proposed.

Approaches to assessing the level of innovation development in manufacturing industries

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. The article offers a method for assessing the level of innovation development in the manufacturing industry and identifies the factors that have the greatest impact on the development of the process of creating and implementing innovations in this sector. A multi-factor regression model is constructed to determine the degree of influence of various socioeconomic factors on the level of development of innovative activity in manufacturing industries, as well as to develop proposals and recommendations for its activation.

Многофакторный регрессионный анализ факторов риска развития микрососудистых осложнений сахарного диабета 2 типа

Introduction. The relevance of the study of diabetes mellitus is due to social importance due to the high prevalence and progression of the disease in the form of late vascular complications, the first among which is vascular angiopathies. The results of studies on the dynamics of carbohydrate and lipid metabolism in the development of microvascular complications of 2 type diabetes mellitus remain quite contradictory. At the same time, the range of risk factors for the development of microvascular complications of 2 type diabetes mellitus and the strength of their effects vary greatly between studies and regions. Due to these circumstances, we are interested in studying the risk factors of developing microvascular complications of 2 type sugar diabetes as one of the main fatal complications of 2 type diabetes mellitus. Purpose and objectives. The most significant risk factors for developing microvascular complications of 2 type diabetes mellitus are determined using multi-factor regression analysis. Materials and methods. We used a multiple logistical regression model. Main results. As a result of multi-factor regression analysis, we determined the most significant risk factors for developing microvascular complications of 2 type diabetes mellitus: unsatisfactory compensation of carbohydrate and lipid metabolism, presence of arterial hypertension and dyslipidemia.