Quantitative Relationship Analysis Research Articles

Exploring the influence of building form parameters on three-dimensional ventilation potential in urban centers: A case study of Nanjing, China

In urban areas, variations in the functional usage of buildings or their clusters directly influence the 2D/3D morphology of buildings which can lead to changes in the ventilation potential (VP) at different heights, but there is a lack of refined quantitative relationship analysis between 3D building form parameters (BFPs) and VP at different heights within a certain urban area. The objective of our study is to obtain simulated wind field data from different heights, considering distances from roads, and transverse and longitudinal sections. We employ partial correlation analysis, simple correlation analysis, and Geographic detectors to uncover the extent and mechanisms of the influence of BFPs on the ventilation effectiveness of neighborhoods in a major urban center in China, specifically Nanjing. The findings demonstrate that, at all heights, there is an inverse relationship between wind speed and building density (BD), with the location of higher wind speed generally aligning with the intersection points. The correlation coefficients between BD and simulated wind speed are 0.040 (1.5 ​m), −0.475 (10 ​m), and −0.314 (30 ​m), while the correlation coefficients between building height (BH) and simulated wind speed are 0.237. However, no significant correlation is observed between floor area ratio (FAR) and simulated wind speed. Geographic detector analysis reveals differences in the correlation between BFPs and simulated wind speed at different heights within various building functional areas. Our study provides some practical information for urban planners and designers to carry out wind sensitivity and adaptation planning and urban design.

Decoding the quantitative relationship of algistatic activity and chemodiversity of plant-derived allelochemicals in optimized straw decomposition

The allelopathic effect of agricultural waste pretreated with Trametes versicolor for controlling the toxic alga Amphidinium carterae was investigated in this study. Response surface methodology revealed that the optimized physical factors displayed a substantial contribution to the potentiality of agricultural by-products in inhibiting A. carterae. The optimal inhibition property was achieved at a pH of 5.1, a temperature of 28.6 °C, a water content of 68 mL, and a straw particle size of 23.6 mm. Quantitative relationship analysis showed that total phenolic content, degradation rate, and β-glucanase greatly contributed to the algistatic activity of the straw extracts. Moreover, the extracts of straw were found to contain a diverse range of allelochemicals, with 63 compounds exhibiting allelopathic effects identified based on historical reports. Our analysis indicated that the allelochemicals responsible for the inhibition of A. carterae are mostly polyphenolics and their derivatives, as well as fatty acids. Therefore, these results provide a new strategy for the intensive and value-added utilization of agricultural biomass, contributing to the sustainable development of plant-derived algaecides.

A Quantitative Relationship Analysis of Language Patterns and Cultural Identity in Southeast Asian Chinese Literature

Abstract As an important part of overseas Chinese literature, Southeast Asian Chinese literature has entered the research field of mainland scholars since the 1980s with the deepening of economic, trade, and cultural exchanges between mainland China and Southeast Asian countries. In this paper, we use the linguistic characteristics of Southeast Asian Chinese literature as the research landing point, establish the mathematical model of regression analysis, and transform the coordinate system to simplify the derivation formula. The slope is used to determine the macro change direction of the regression curve, and the slope formula is further derived to get the expression for judging the micro change trend of the curve, which completes the construction of the mathematical model of language pattern and cultural identity law. Based on the knowledge graph visualization and analysis tool CiteSpase, the data of language patterns and cultural identity samples were processed and analyzed in terms of the number of publications, author groups, research institutions, and publishing journals. 2016 was the year with the highest number of publications, and the number of publications in this year was 55. “Malay-Chinese literature” ranked first among the high-frequency keywords, with a word frequency and centrality of 173 and 0.82, respectively. The correlation coefficient between Southeast Asian Chinese’s attitude towards Chinese language and Chinese cultural identity (Spearman’s rho=865, p<0.01) shows a positive relationship.

Quantitative Analysis of Relationship Between Fruit Quality of ‘Fuji’ Apple and Environmental Factors: A Case Study of the Loess Plateau Production Region

The objective of this study was to investigate the effect of environmental factors (soil nutrition and meteorological factors) on fruit quality traits of ‘Fuji’ apples. ‘Fuji’ apple fruits, soil samples, and meteorological data were investigated from 66 commercial orchards covering 22 counties of the Loess Plateau region in China. Partial least squares regression (PLSR) and linear programming were combined to analyze the quantitative relationship between fruit quality and environmental factors. The effect of meteorological factors (55.99%) on fruit quality was greater than that of soil nutrition factors (44.01%) in the Loess Plateau apple-producing region of China. Optimum environmental factors for high-quality ‘Fuji’ apples in the Loess Plateau region were: soil organic matter (13.94–17.93 g ∙ kg−1), total N (0.77–1.03 g ∙ kg−1), available N (68.39–115.87 mg ∙ kg−1), P (62.39–124.67 mg ∙ kg−1), K (324.41–468.62 mg ∙ kg−1), Ca (6.54 mg ∙ kg−1), Fe (14.97 mg ∙ kg−1), Zn (1.55–2.72 mg ∙ kg−1), B (0.37 mg ∙ kg−1), and soil pH (7.98–8.20); mean annual temperature (18 ℃), total annual precipitation (431.2–713.8 mm), monthly mean temperature (19.9 ℃), lowest temperature (8.03 ℃), highest temperature (19.63 to 27.25 ℃), temperature difference between day and night (12.41 ℃), total precipitation (338.3–589.8 mm), relative humidity (56.57–82.41%), and sunshine percentage (36.96–55.87%) during the growing period (April–October).

Effects of Layer Thickness on the Residual Stresses of CIGS Solar Cells with Polyimide Substrate

In this paper, we investigate the effect of layer thickness on the residual stresses of copper indium gallium diselenide (CIGS) solar cells with polyimide substrate caused by CIGS layer deposition at 400?C and then cooling down to room temperature using the Finite Element Method (FEM). Moreover, we also examined the effect of layer thickness on residual stress of CIGS solar cells after cooling down to room temperature from the hotspot temperatures of 200?C, 300?C, and 400?C. Our simulated CIGS is composed of five layers: ZnO, CdS, CIGS, Mo, and PI substrate. We were able to quantify the effect of each layer’s thickness and hotspot temperature on the average stresses of each layer for the CIGS solar cells. We found that the PI substrate layer has the most significant effect on the residual stress of CIGS solar cells. Our simulation results reveal that the stress type (tensile vs. compressive) and the magnitude of stress of the CIGS layer (main absorber layer) can be controlled by changing the thickness of the PI substrate while applying a heat to CIGS solar cells. Quantitative analysis of relationship between layer thickness and thermo-mechanical stress of thin film solar cells can help solar cell manufacturers design more robust and reliable solar cells. For example, fabricating PI layer thickness less than 17 μm can improve the performance of CIGS solar cells by nullifying the compressive residual stress in the CIGS absorber layer.

How do errors occur when developing speed correction factors for emission modeling?

• Detailed explanation of errors in speed correction factors (SCFs) • Quantifying the impact of vehicle specific power (VSP) distribution on SCFs. • Quantitative analysis of relationship between emission rate and SCFs. Speed correction factors (SCFs) reflect the impact of traffic conditions on vehicle emissions. However, uncertainty often occurs when calculating SCFs in existing emission models. Investigating how uncertainty occurs is helpful in improving accuracy when calculating SCFs. This study calculates SCFs of carbon dioxide (CO 2 ) of non-hybrid light-duty vehicles on urban restricted access roadways, and analyzes two important explanatory variables when calculating SCFs: speed-specific vehicle specific power (VSP) distributions and emission rates. The characteristics of how SCFs change in response to changes in VSP distributions and emission rates are discussed in detail. The results show that distortions in VSP distributions and emission rates significantly affect SCFs. A 1% change of the fraction in a VSP bin or a 1% change in the average emission rate in a VSP bin can cause 1.3–3.2% or 0.08–0.13% of changes in SCFs, respectively. These findings are helpful in reducing uncertainty when calculating SCFs.

Эффективность амбулаторного лечения артериальной гипертензии через призму качества жизни и гемодинамический фенотип пациентов

Актуальность. Эффективность амбулаторного лечения артериальной гипертензии (АГ) как совокупный результат — достижение целевого уровня артериального давления (АДцел) и приемлемый уровень качества жизни (КЖ) пациентов, а также влияние на него гемодинамического фенотипа, определяемого оригинальным методом количественного анализа связей параметров артериального давления (КАСПАД), не исследованы, что явилось целью данной работы. Материалы и методы. Обследованы 175 амбулаторных пациентов с АГ, средний возраст 60,0 (52,0–70,0) года, получавших длительную (3–12 лет) стандартную терапию антигипертензивными препаратами из основных групп лекарственных средств (ЛС). Оценивалось КЖ по русскоязычной версии опросника RAND-36; для определения гемодинамического фенотипа по КАСПАД использованы индивидуальные ряды величин АД (не менее 25), полученные при ежедневных домашних измерениях за 2–4 недели; проведен статистический анализ клинических и демографических признаков, их связей с КЖ и фенотипами. Результаты. Значимое ухудшение КЖ (физический компонент и общий уровень) отмечено с увеличением возраста, степени и кардиоваскулярного риска АГ, особенно при наличии хронических форм ишемической болезни сердца. КЖ у пациентов, не достигших АДцел, значимо ниже по большинству параметров, чем у достигших его лиц. Увеличение количества принимаемых ЛС сопряжено со снижением КЖ у лиц, достигших АДцел. Пациенты с гемодинамическим фенотипом D, независимо от фармакологической группы принимаемых ЛС и их количества, значимо реже достигают АДцел по сравнению с лицами с фенотипом H, а также имеют более низкое КЖ, еще более снижающееся при интенсификации медикаментозной терапии. Ингибиторы ангиотензинпревращающего фермента (ИАПФ) и блокаторы кальциевых каналов (БКК) были эффективны для достижения АДцел, в основном у пациентов с фенотипом H, но негативно влияли на КЖ: ИАПФ — при фенотипе H, БКК — при D. Бета-адреноблокаторы и диуретики существенно не влияли на КЖ. Предложена статистическая модель прогноза низкого общего уровня КЖ у пациентов с достигнутым АДцел на основе 5 клинико-демографических факторов. Выводы. Эффективность лечения АГ целесообразно оценивать по совокупности достижения АДцел и общего уровня КЖ не менее 60 баллов (по RAND-36). При назначении лечения следует учитывать гемодинамический фенотип: медикаментозную терапию всех пациентов с фенотипом D, а также лиц с фенотипом H при низком КЖ и недостигнутом АДцел необходимо дополнять комплексной реабилитацией с использованием немедикаментозных методов.

A Quantitative Relationship Analysis of Industry Shifts and Trade Restructuring in ASEAN Based on Multiregional Computable General Equilibrium Models

This paper provides an in-depth study and analysis of the quantitative relationship between ASEAN industry transfer and nuclear trade restructuring through the multiregional computable general equilibrium (CGE) model and categorizes the ten major projects and 57 subprojects covered by the ASEAN Information Port project investment into construction, information technology, and telecommunications, according to the key directions of investment. We design and simulate the changes in production activities, trade activities, and the balance of payments behaviour of the national economy affected by the project’s investment under 10 types of investment amount scenarios and prepare the corresponding social accounting matrix (SAM). Increased trade openness increases external risks and instability of the economy and fiscal revenues. At the same time, it creates other potential problems for the country such as environmental pollution and leading to unfair competition. Under free trade conditions, some manufacturers may choose to produce inputs that are not environmentally friendly to reduce costs, thereby harming the environment. For infant industries, if the government does not provide them with short-term protection or supportive policies, these new or developing infant industries may not have strong international competitiveness and may be vulnerable to the attacks of mature industries in the world. Therefore, based on the study of the influence of tax policy on trade openness, this paper examines the impact of changes in trade openness on a country’s economic environment and takes tax revenue as an example to conduct an empirical analysis and improve the factors that need to be considered when adjusting tax policy.

Imported products in construction activities: quantitative analysis of relationship (case of the Russian Far East)

The article is devoted to assessing the dependence of the volume of construction work carried out in the region on products imported and used in construction. Econometric modeling is used as the main research method: dynamic models with distributed lag. For the case of the Russian Far East, estimates of the multipliers of imported products for regional construction are obtained. Multipliers show a low rate of decrease in the impact of imports on the dynamics of the volume of construction work: less than 1.7% per year. Therefore, for example, during the first eight years after the purchase of imported equipment, only 12.52% of its total long-term impact on the volume of construction is sold. The results can be used to determine the forecast dynamics of the volume of construction work depending on the actual and target indicators of imports of machinery and equipment.

Quantitative Analysis of Relationships Between Panicle Size and Fruit Traits in Litchi (Litchi chinensis Sonn.)

Quantitative Analysis of Relationships Between Panicle Size and Fruit Traits in Litchi (Litchi chinensis Sonn.)

Quantitative Analysis of Relationship Between Visual Attention and Eye-Hand Coordination

Quantitative Analysis of Relationship Between Visual Attention and Eye-Hand Coordination

Quantitative Relationship Analysis of Mechanical Properties with Mg Content and Heat Treatment Parameters in Al⁻7Si Alloys Using Artificial Neural Network.

In this paper, an artificial neural network (ANN) model with high accuracy and good generalization ability was developed to predict and optimize the mechanical properties of Al–7Si alloys. The quantitative correlation formulas of the mechanical properties with Mg content and heat treatment parameters were established based on the transfer function and weight values. The relative importance of the input variables, Mg content and heat treatment parameters, on the mechanical properties of Al–7Si alloys were identified through sensitivity analysis. The results indicated that the mechanical properties of Al–7Si alloys were sensitive to Mg content and aging temperature. Then the individual and the combined influences of these input variables on the properties of Al–7Si alloys were simulated and the process parameters were optimized using the artificial neural network model. Finally, the proposed model was validated to be a robust tool in predicting the mechanical properties of the Al–7Si alloy by conducting experiments.

Quantitative Analysis of Relationship between Hansen Solubility Parameters and Properties of Alkali Lignin/Acrylonitrile-Butadiene-Styrene Blends.

Blends of alkali lignin and acrylonitrile–butadiene–styrene (ABS) resin are physically mixed and injected into the injection molding system. Although the components of the blend are bound together by intermolecular forces, noticeable phase separation still occurs. In the present study, inverse gas chromatography technology was used to characterize the Hansen solubility parameters of alkali lignin/ABS blends. The relationship between the Hansen solubility parameters and thermodynamic properties was then determined. Hansen solubility parameters, at room temperature, of alkali lignin/ABS blends containing 0, 10, 20, and 30 wt % alkali lignin were 17.40, 19.20, 18.98, and 17.37 (J/cm3)0.5, respectively. Hansen solubility parameters of the blends were shown, both experimentally and theoretically, to be related to their mechanical and thermal properties.

Using social network analysis to characterize the collaboration network of backyard poultry trainers in ackCalifornia

In order to better understand collaboration among trainers in the backyard poultry community (i.e. feed store managers, youth development programs (i.e. 4-H), veterinarians, government agencies, extension resources and backyard poultry club leaders), Social Network Analysis (SNA) was used as a tool to better characterize and quantify the current collaboration network structure of backyard poultry trainers in California. Invited trainer attendees of two “Train-the-Trainers” poultry workshops (n = 67) held in Northern and Southern California were given a survey that asked them to list contacts that they collaborated with on backyard poultry (BYP) related work. The collaboration network in this study included a total of 109 trainers, 18 practitioners, and 32 individuals who are both trainers and practitioners for a total of 170 nodes (11 individuals did not have affiliation information available). In order to help identify central actors or collaboration leaders, the surveys were analyzed using Social Network Analysis (SNA), which allows for a quantitative analysis of relationships among various stakeholders. While the SNA showed that the existing collaboration network is disconnected with a clustering coefficient of 0.043 and median total degree centrality of 1 (range 9) and therefore not conducive for collaboration, key insights that could help restructure and improve the network were identified. As an example, among different poultry groups, 4-H was identified as the organization with the second highest median coverage score and fifth highest median centrality score. In addition, 4-H group leaders act as both trainers and practitioners. Consequently, outreach to 4-H group leaders throughout the state would potentially have the greatest impact with respect to overall coverage both inside and outside the 4-H network due to their high centrality and boundary spanning roles. Using SNA to strengthen the collaboration network infrastructure of backyard poultry trainers ultimately offers a more targeted approach toward extension for backyard poultry owners, which could ultimately facilitate communication and knowledge-sharing with BYP owners during a disease outbreak.

Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson\u2019s Disease

Hypokinetic dysarthria (HD) and freezing of gait (FOG) are both axial symptoms that occur in patients with Parkinson’s disease (PD). It is assumed they have some common pathophysiological mechanisms and therefore that speech disorders in PD can predict FOG deficits within the horizon of some years. The aim of this study is to employ a complex quantitative analysis of the phonation, articulation and prosody in PD patients in order to identify the relationship between HD and FOG, and establish a mathematical model that would predict FOG deficits using acoustic analysis at baseline. We enrolled 75 PD patients who were assessed by 6 clinical scales including the Freezing of Gait Questionnaire (FOG–Q). We subsequently extracted 19 acoustic measures quantifying speech disorders in the fields of phonation, articulation and prosody. To identify the relationship between HD and FOG, we performed a partial correlation analysis. Finally, based on the selected acoustic measures, we trained regression models to predict the change in FOG during a 2-year follow-up. We identified significant correlations between FOG–Q scores and the acoustic measures based on formant frequencies (quantifying the movement of the tongue and jaw) and speech rate. Using the regression models, we were able to predict a change in particular FOG–Q scores with an error of between 7.4 and 17.0 %. This study is suggesting that FOG in patients with PD is mainly linked to improper articulation, a disturbed speech rate and to intelligibility. We have also proved that the acoustic analysis of HD at the baseline can be used as a predictor of the FOG deficit during 2 years of follow-up. This knowledge enables researchers to introduce new cognitive systems that predict gait difficulties in PD patients.

Effect of pore size and layers on filtration performance of coalescing filters with different wettabilities

Abstract The effect of pore size on filtration performance of coalescing filters was investigated experimentally, using four oleophilic and three oleophobic glass-fiber filter materials. The filters were fabricated into sandwiches composed of a varying number of layers, each of the same filter materials. The results showed that both trend and extent of variation of the excess channel pressure drop with number of layers were dominated by the pore size. As the pore size decreased, the excess channel pressure drop exhibited the increasing, stable, and decreasing trends with increasing number of layers for oleophobic filters, respectively, while it kept growing with number of layers for oleophilic filters. The jump pressure drop controlled by liquid film was inversely proportional to the mean pore size, with an empirical fit equation established to allow quantitative analysis of relationship between film thickness and mean pore size for oleophilic filters. The pore size was a dominant factor in improving steady-state filtration efficiency, as a large-mean-pore-size filter was unable to efficiently separate sub-micrometer-sized droplets even with a high number of layers. Conversely, it was found that re-entrainment of micrometer-sized droplets was prone to occur in small-mean-pore-size oleophobic and large-mean-pore-size oleophilic filters, resulting in the pronounced reduction of steady-state filtration efficiency. Based on quality factors at steady state, a filter with large mean pore size was much superior in separation of micrometer-sized droplets, while a filter with moderate rather than smallest mean pore size, should be applied to separate sub-micrometer-sized droplets.

Study on Rapid Start-up of Anammox Process under the Influence of Magnetic Field

In order to study the rapid start-up technology of the anaerobic ammonium oxidation process, a comparison test of no magnetic field and magnetic field was performed in two identical ASBR reactors R1 and R2 respectively. The results show that both reactors can successfully start Anammox. The R2 start-up period (75d) of the applied magnetic field is shortened by 15% compared with the unloaded magnetic field R1 start-up period (90d); the R2 ammonia-nitrogen removal rate is 97% higher than that of 95% of R1. The quantitative relationship analysis between NH4+-N, NO2--N and NO3--N shows that the change of R2 ratio is closer to the theoretical value, which can better improve the activity of microbial enzymes and accelerate the enrichment of ammonia oxidizing bacteria in the reactor. It is beneficial to nitrogen removal and R2 can quickly start the anaerobic ammonium oxidation process.

Quantitative analysis of relationship between leakage current and power loss of multi-crystalline silicon photovoltaic module during potential-induced degradation test

The relationship between the leakage current and the power loss of a multi-crystalline silicon photovoltaic module during potential-induced degradation (PID) tests was analyzed. Since the current flowing into cells through a cover glass and an ethylene–vinyl acetate encapsulant is highly related to Na+ ion migration, which is presumed to be the main cause of PID, a setup for accurately measuring the current was designed. PID tests were also conducted under different temperature and voltage conditions following the same setup. From the current measured during PID tests, the charge transferred onto the active cell area was estimated. It was found that there is a one-to-one relationship between the charge transferred onto the active cell area and the power loss of a module. This result suggests that the PID power loss is due to the amount of Na+ ions accumulated on the active cell area.

Quick Start-up Performance of Combined ANAMMOX Reactor Based on Different Inoculated Sludge Types

In order to determine the optimal sludge source of anaerobic ammonium oxidation (ANAMMOX) and the rapid formation of ANAMMOX granular sludge, two CAMBRs (combined ABR and MBR) were compared for ANAMMOX enrichment with different inoculated sludge types, the anaerobic granular sludge (R1) and flocculent denitrifying sludge (R2). The results showed that ANAMMOX was successfully initiated after 45 d (R1) and 60 d (R2) in both reactors, respectively. The enrichment processes are divided into three different phases, lag phase, activity elevation phase, and stationary phase but the removal rules of nitrogen in each phase were different. In the steady phase, the average removal rates of NH4+-N and NO2--N were higher than 95%. In addition, the red ANAMMOX granular sludge with the main diameter of 0.8-1.6 mm was formed in R1 while the flocculent sludge and irregular block with a low degree of granulation were mainly developed in R2. The phenomenon of red granular sludge floating in the two reactors was also observed. The quantitative relationship analysis between NH4+-N, NO2-N, and NO3--N showed the occurrence of nitrate-dependent ANAMMOX, which resulted in the oxidation of excess ammonia and the typical nitrite-dependent ANAMMOX occurred in R2.

Numerical Simulation on Superheated Steam Fluidized Bed Drying at Different Operating Pressures

Abstract During superheated steam fluidized bed drying process, the operating pressure has an important influence on heat and mass transfer characteristics and the vapor-solid two-phase flow characteristics. Based on the two-dimensional unsteady model of rapeseeds drying process, the influence of operating pressure on the superheated steam fluidized bed drying kinetics was revealed by computer numerical simulation. The quantitative analysis of relationship between operating pressure and maximum drying rate was conducted under negative pressure, near atmospheric pressure and high pressure environment, respectively. The optimum operating pressure values for superheated steam fluidized bed drying were obtained with the imported superheated steam temperature and superficial velocity. The simulation results provide a theoretical reference for superheated steam fluidized bed drying technology applying to agro-processing projects.