Analysis Of Influencing Factors Research Articles

A cross-sectional survey and influencing factors analysis of knowledge, attitude, and behavior of enteral nutrition implemented by nurses in burn intensive care unit

Objective: To investigate the status of knowledge, attitude, and behavior of enteral nutrition implemented by nurses in burn intensive care unit (BICU) and analyze its influencing factors. Methods: A multi-center cross-sectional survey research method was used. On May 8th, 2022, 107 BICU nurses who met the inclusion criteria were selected from the burn departments of the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Guangdong Provincial People's Hospital, the First Affiliated Hospital of Guangxi Medical University, the Affiliated Hospital of Qinghai University, the Second Affiliated Hospital of Air Force Medical University, the Affiliated Hospital of Nantong University, Guiyang Steel Factory Staff Hospital, and the Second Affiliated Hospital of Kunming Medical University. The self-made nurses' enteral nutrition nursing knowledge-attitude-behavior questionnaire for severely burned patients was used to investigate the nurses' gender, age, working years, professional title, position, highest educational background, and whether they received systematic training in knowledge of enteral nutrition, the scores of each factor, and the total scores of knowledge, attitude, and behavior dimensions of enteral nutrition in nurses. The nurses were classified according to the general data, and the total scores of their knowledge, attitude, and behavior of enteral nutrition were calculated. Data were statistically analyzed with independent sample t test, one-way analysis of variance, Mann-Whitney U test, and Kruskal-Wallis H test. According to the results of univariate analysis and combined with clinical experience and significance, the generalized linear model analysis was carried out to screen the independent influencing factors of the total scores of knowledge, attitude, and behavior of enteral nutrition in BICU nurses. Results: A total of 107 nurses were surveyed, and 107 valid questionnaires were collected, with an effective recovery rate of 100%. In the BICU nurses' enteral nutrition knowledge-attitude-behavior questionnaire, the total scores of knowledge, attitude, and behavior were 44±13, 87±15, and 70±19, respectively. Most of the BICU nurses in this survey were female, aged 22-48 (31±6) years, and the number of nurses worked for 1-5, 6-10, and ≥11 years was evenly distributed. The majority of the professional titles of nurses were nurses, positions were responsible nurses, and the highest educational background was undergraduate. Forty-four nurses received systematic training in knowledge of enteral nutrition. There were statistically significant differences in the total scores of knowledge of enteral nutrition among BICU nurses with different ages, working years, professional titles, positions, highest educational background, and whether they received systematic training in knowledge of enteral nutrition (with H values of 27.36, 15.27, and 10.19, respectively, Z values of -3.33, -2.59, and -6.46, respectively, P<0.05). There were no statistically significant differences in the total scores of attitude and behavior of enteral nutrition among BICU nurses with different gender, ages, working years, professional titles, positions, highest educational background, and whether they received systematic training in knowledge of enteral nutrition (P>0.05). Age (26-30, 31-35, and ≥36 years old), highest educational background (undergraduate), and the systematic training received in enteral nutrition knowledge were the independent influencing factors for the total score of knowledge of enteral nutrition in BICU nurses (with 95% confidence intervals of 0.12-0.36, 0-0.30, 0.03-0.31, 0.01-0.32, and 0.19-0.40, respectively, standardized regression coefficients of 0.24, 0.15, 0.17, 0.17, and 0.29, respectively, P<0.05). There were no independent influencing factors for the total scores of enteral nutrition attitude and behavior of BICU nurses in different characteristics (P>0.05). Conclusions: The BICU nurses have low cognitive level in the implementation of enteral nutrition, their concept needs to be updated in time, and their behavior needs to be further standardized. Age (26-30, 31-35, and ≥36 years old), highest educational background (undergraduate), and the systematic training received in enteral nutrition knowledge were the independent influencing factors for the knowledge of enteral nutrition in BICU nurses.

Synthetical performance analysis of phase-change thermoacoustic regenerators and stacks

Introducing a phase-change component to thermoacoustic regenerators or stacks increases the complexity of the thermoacoustic conversion process, and currently the analysis of relevant influencing factors is still limited. This paper introduces a comprehensive analysis method for wet regenerators or stacks by deriving normalized parameters, including acoustic power, efficiency, and temperature gradient. The analysis encompasses various influencing factors and impedance phases, revealing that the mass diffusion process enhances performance and lowers the onset threshold. Optimized wet regenerators with a traveling-wave field exhibit an efficiency 0.239 higher than that of dry regenerators, and their acoustic power surpasses dry regenerators by a maximum factor of 41.8. Additionally, the required length ranges and hydraulic radius for onset become more extensive. Furthermore, the onset temperature gradient decreases greatly, in a standing-wave system, wet stacks achieve a minimum temperature gradient 0.27 times that of dry stacks. The mass diffusion process augments the degree of reversibility in wet regenerators. Optimized wet regenerators tend to achieve high performance with smaller radius and impedance phases closer to 0° compared to the dry ones. This research offers valuable insights for designing, analyzing, and optimizing wet thermoacoustic regenerators or stacks.

Workability and mechanical properties for GGBFS–MK geopolymer synthesis: influencing factor analysis and a mix design method

Workability and mechanical properties for GGBFS–MK geopolymer synthesis: influencing factor analysis and a mix design method

Comprehensive evaluation of carbon sequestration potential of landscape tree species and its influencing factors analysis: implications for urban green space management

BackgroundContinuous increasing carbon dioxide (CO2) has aggravated global warming and promoted urban tree planting projects for many countries. So it’s imperative to select high carbon sequestering landscape tree species while considering their aesthetic values of urban green space.Results32 tree species were selected as test objects which were commonly used in landscaping in Zhengzhou, a typical northern city of China. To assess the comprehensive carbon sequestration potential of landscape tree species in different plant configuration types, we simultaneously considered their daily net carbon sequestration per unit leaf area (wCO2), daily net carbon sequestration per unit land area (WCO2) and daily net carbon sequestration of the whole plant (QCO2) through cluster analysis. Besides that, we found out the key factors affecting carbon sequestration potential of landscape tree species by redundancy analysis.ConclusionPopulus, P Stenoptera, P. acerifolia among large arbors (LA), V odoratissimum, P. Serratifolia, S. oblata among small arbors (SA), and B sinica var. Parvifolia, B. Megistophylla, L quihoui among shrubs (S) were recommended for local urban green space management. Photosynthetic rate (Pn), crown area (CA) and leaf area index (LAI) were the key factors which affected the comprehensive carbon sequestration potential both for LA, SA and S.

Determinants of Fast-Food Consumption among Youth: An Analysis of Influential Factors in Today's Contemporary Lifestyle

Determinants of Fast-Food Consumption among Youth: An Analysis of Influential Factors in Today's Contemporary Lifestyle

Data-driven analysis of influential factors on residential energy end-use in the US

Decarbonizing the residential buildings sector is important to realize a net-zero future. However, little research comprehensively explores how residential energy by end-uses, i.e., space heating, space cooling, water heating, and appliances, vary across different climate, building, and occupant characteristics. Therefore, based on Residential Energy Consumption Survey 2015, this study investigates how these energy end-uses correlated with different influential factors, i.e., climate, demographics, housing and appliance features. Recursively random forest regression and partial dependency plots were employed to analyze and quantify the impact of influencing factors on end-use energy usage. The developed models illustrate nonlinear and varying impacts of influential factors on different end-uses, with R-square from 0.481 (appliance) to 0.885 (space cooling). Specifically, housing size and climate are determinant factors of space heating/cooling, while family size and total appliance number determine water heating and appliance usage, respectively. Use frequency, size, and vintage of appliances (e.g., refrigerator, laundry) affect appliance energy consumption. Furthermore, one-way ANOVA confirms the statistically significant differences in energy consumption across varying household income groups, i.e., households with higher incomes consume more energy. Houses with older vintages use more total energy, especially in space heating, while less in cooling due to lower penetration of air conditioners. Finally, the analysis proves that residential end-use electrification, mainly space heating and water heating, is beneficial for energy efficiency. The findings contribute to understanding influential factors on different end-uses in households, which from a holistic level informs the potential pathway for building decarbonization, especially targeting at specific end-uses or occupant groups.

6Ds-HLM: Hierarchical models of road traffic crash influencing factor analysis considering the urban built environment of intersection visibility

6Ds-HLM: Hierarchical models of road traffic crash influencing factor analysis considering the urban built environment of intersection visibility

Influence Factors Analysis for Wrong-Way Driving Behavior in Parking Lots

Influence Factors Analysis for Wrong-Way Driving Behavior in Parking Lots

Influencing factors analysis of corn price fluctuation in shaanxi province, CHINA

Corn is one of the most important grain crops in China, and also in Shaanxi Province. In order to master the changing law of corn market, realize reasonable regulation and control, and promote the stable development of the market, it is necessary to conduct in-depth research on the influencing factors of corn price fluctuation in Shaanxi Province. Based on the data of Shaanxi Province from 2000 to 2021, in the present study, the main factors affecting the price fluctuation in Shaanxi Province was explored by using factor analysis method. Eight indexes including corn yield, production cost, disaster-affected area, disposable income of rural residents, disposable income of urban residents, corn demand, wheat price index and consumer price were selected as factors affecting corn price fluctuation. Results showed that the disaster area and corn demand were the main factors affecting the corn price fluctuation in Shaanxi Province, and the disposable income of urban and rural residents had little impact on the corn price fluctuation. Governments and industry groups can therefore take preventive measures to limit the impact of major climate events on corn markets and economies. It also assesses the appropriate proportion of corn used for feed and energy production to ensure adequate supply and stable prices. Bangladesh J. Bot. 52(2): 607-612, 2023 (June) Special

Influencing factors analysis of corn price fluctuation in shaanxi province, CHINA

Corn is one of the most important grain crops in China, and also in Shaanxi Province. In order to master the changing law of corn market, realize reasonable regulation and control, and promote the stable development of the market, it is necessary to conduct in-depth research on the influencing factors of corn price fluctuation in Shaanxi Province. Based on the data of Shaanxi Province from 2000 to 2021, in the present study, the main factors affecting the price fluctuation in Shaanxi Province was explored by using factor analysis method. Eight indexes including corn yield, production cost, disaster-affected area, disposable income of rural residents, disposable income of urban residents, corn demand, wheat price index and consumer price were selected as factors affecting corn price fluctuation. Results showed that the disaster area and corn demand were the main factors affecting the corn price fluctuation in Shaanxi Province, and the disposable income of urban and rural residents had little impact on the corn price fluctuation. Governments and industry groups can therefore take preventive measures to limit the impact of major climate events on corn markets and economies. It also assesses the appropriate proportion of corn used for feed and energy production to ensure adequate supply and stable prices. Bangladesh J. Bot. 52(2): 607-612, 2023 (June) Special

Study on Rock-Electric Characteristics of Cracked Porous Rocks by the Novel Multifactor Conductivity Model.

Due to the influence of multiple factors on the conductive properties of rocks, the Archie's formula, considering only a single factor, makes it difficult to reasonably explain rock-electric characteristics of cracked porous rocks. In order to better describe the conductive mechanism of cracked porous rocks, a generalized multifactor conductivity model was proposed by considering and introducing multiple influencing factors such as the series-parallel structure, conductive matrix, cracks, and fluids, which is conducive to more accurate research on the conductive mechanism of rocks. It should be noted that the developed model is not only applicable to cracked porous rocks but also useful for porous rocks. Through the study and analysis of various influencing factors, it is demonstrated by the simulation results that both the conductive matrix and cracks improve the conductive ability, which are crucial factors resulting in the non-Archie behavior and low-resistivity pay zone, and rock conductivity is more sensitive to the conductive matrix and cracks in tight reservoirs with porosity below 10%. Furthermore, experimental data are available to validate the novel multifactor conductivity model, and the comparison results show its advantages in predicting and explaining the conductive properties of cracked porous rocks.

Analysis of Secondary Influencing Factors for the WIM System Used in Overload Enforcement

Analysis of Secondary Influencing Factors for the WIM System Used in Overload Enforcement

Water ecosystem health evaluation and influencing factors analysis of AN urban river: A case study at Beiyunhe River, Northern China

The Beiyunhe River is a typical urban river in northern China, and the health status of its ecosystem is degraded by urbanization. To evaluate this health status, a survey was performed throughout the basin. Thirteen indexes were selected to construct an ecosystem health evaluation system, and a composite index method was used to quantify the Beiyunhe River’s ecosystem health. Redundancy analysis (RDA) was used to detect the key factors influencing ecosystem health. The results showed that the river’s health status was mostly moderate: of the 38 surveyed points, the health status of 10% was Good, 47% was Average, 40% was Poor, and 3% was Very Poor. The upper and middle reaches were in better health than the lower reaches, and the main stream health was better than the tributaries. Among the tributaries, Bahe River (upper and middle reaches) had the best health status, whereas Fenghe River (lower reaches) had the worst. RDA showed that the ratio of hardening of the river, number of water-blocking structures (gates and dams), and population density in the catchment area were the key factors affecting the health of the Beiyunhe River ecosystem. This study can be used as a reference for the evaluation of the health of urban river ecosystems.

A data-driven approach for predicting interface bond strength between corroded reinforcement and concrete

The deterioration of interface bond strength of reinforcement and concrete in a corrosive environment is the primary cause of premature degradation that affects reinforced concrete structures. Thus, it is crucial to establish a highly reliable bond strength model of corroded reinforced concrete. For this study, we collected data from previous experimental investigations on the interface bond strength between corrosion reinforcement and concrete, and developed a BP-ANN model on the interface bond strength based on a data-driven approach. The model utilized input variables for instance corrosion level, reinforcement diameter, concrete cover to reinforcement diameter ratio, reinforcement diameter to bond length ratio, reinforcement yield strength and concrete compressive strength. The output target was interface bond strength, and the model was trained and tested by using 166 groups of pull-out test datas for corrosion reinforcements and concrete with varying corrosion rates. The outcomes demonstrate that the predictions of the BP-ANN model match well with actual values. Furthermore, the predictive efficiency for the BP-ANN model was verified by comparison of the predicted values with the actual values. A comparative analysis of the applicability and computational error of the BP-ANN model indicates that a data-driven approach to predict bond strength between reinforcement and concrete in an erosion environment has better prediction accuracy than the empirical or semi-empirical bond strength models used in previous studies. Additionally, a sensitivity analysis of the primary influencing factors on bond strength of corroded reinforced concrete is conducted, and it is quantitatively confirmed that the corrosion level was the most significant factor on bond strength, while the influence of reinforcement yield strength is comparatively small.

Experimental and theoretical study on cooling performance of membrane roof with circulated water film

Membrane roofs are widely used in buildings for excellent daylight and visual effects. Nevertheless, excessive solar penetration results in an overheated indoor thermal environment. The experimental and theoretical study on the cooling performance of circulated water film technology on membrane roofs was conducted. The scale experiment results indicated that with circulated water film the membrane surface temperatures decreased rapidly to a level slightly above the water temperature, where the polyvinylidene fluoride (PVDF) and ethylene tetrafluoroethylene (ETFE) membranes were 0.4 and 2.4 °C higher than water temperature. While the indoor air temperature gradually decreased in instances where PVDF roofs were utilized, the application of ETFE roofs did not yield a significant decrease in temperature. Subsequently, we derived an analytical solution for the dynamic two-dimensional heat and mass transfer process of the water film flowing on the membrane with incident solar radiation, which was validated by experiment. The analysis of influential factors indicated that the temperature drop increased with absorbed solar radiation and outdoor dry-bulb temperature, and decreased with the ambient wet-bulb temperature. Conversely, the cooling performance exhibited minimal sensitivity to variations in water film thickness. The indoor operative temperature dropped by 0.5–0.8 °C in the membrane roofed atrium with water film. The water film effectively cools the indoor thermal environment with membrane roofs.

Retracted: The Evaluation and Its Key Influencing Factors Analysis of “Double First-Class” Universities’ Teaching Efficiency in China Based on SBM-DEA and Its Visual Decision Analysis System Development

Retracted: The Evaluation and Its Key Influencing Factors Analysis of “Double First-Class” Universities’ Teaching Efficiency in China Based on SBM-DEA and Its Visual Decision Analysis System Development

An Analysis of Influential Factors Affecting Career Selection Process

Making careful and well-thought-out decisions regarding a career can increase one's chance of success. Choosing the right career depends on many different factors related to the individual. The scientific approach for career guidance plays a vital role in reducing the expenses and efforts of a student in determining an optimum career path. This article focuses on scientifically determining the most relevant factors affecting the career selection decision of a person. The first section deals with a literature review of the various factors considered by the researchers for designing expert systems for career selection. A detailed questionnaire was designed to extract useful information from 95 individuals from different professions. The data consisted of 63.8% male and 36.2% female individuals belonging to professions viz. agriculture, fine arts, technology, education, and media. The individuals considered in the study comprised varied education levels ranging from intermediate diploma to post-graduation. Based on the above, a logical conclusion was drawn. The most relevant factors were determined by statistical analysis of the data obtained.

Efficacy and influencing factor analysis of Voriconazole in the treatment of invasive fungal infections

Current study aims to explore the correlation between the administered dose and efficacy of voriconazole in the treatment of invasive fungal infection (IFI). The correlation between different doses of Voriconazole and plasma concentrations as well as clinical efficacy was counted. Consequently, 40 strains of pathogenic micro-organisms were isoninelated and cultured from etiological samples. A total of 66 patients with steady-state trough serum concentrations ranging from 1.0 to 5.5 μg/mL were measured, with a compliance rate of 79.5%. Chi-square test showed that there was a significant correlation between Voriconazole steady-state serum trough concentration and treatment efficacy. In addition, the result of Pearson test showed that steady-state trough serum concentration of Voriconazole was significantly positively correlated with the administered dose (γ = 0.866, P < 0.001). On conclusion, Voriconazole is effective in treatment of IFI, and there is a significant dose-plasma concentration correlation with efficacy.

Lumped model eddy current analysis of influence factors on PM segmentation effectiveness

This is the second of a series of papers on new methods for the calculation of eddy current losses in permanent magnets (PMs) and the shortcomings of previous analyses. Our first paper extended Ruoho’s work on harmonic field distributions to the reaction field of eddy currents within permanent magnets. The approach was based on the methods of the harmonic complex AC calculation. In this paper, the models presented in our previous paper are further extended to allow a harmonic calculation of eddy current losses in permanent magnets for homogeneous fields, including the effects of eddy current losses in an adjacent ferromagnetic material, leakage flux factors, and non-constant inductance.

잠재계층분석을 활용한 한국 청년 1인 가구의 대사증후군 위험요인 유형화 및 영향요인 분석

잠재계층분석을 활용한 한국 청년 1인 가구의 대사증후군 위험요인 유형화 및 영향요인 분석