检索结果-内蒙古大学图书馆

Identifying driving factors in cascaded packed bed latent thermal energy storage: An experimental validation

RENEWABLE ENERGY 2024年 224卷

作者： Wu, Jiani Fan, Jianhua Ma, Tianzeng Kong, Weiqiang Chang, Zheshao Li, Xin Chinese Acad Sci Inst Elect Engn Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Tech Univ Denmark DK-2800 Lyngby Denmark

The cascaded packed bed latent thermal energy storage (PBLTES) system, an innovative and efficient technique, remains unexplored experimentally in terms of driving factors and cyclic stability. To address this gap, this study designed a cascaded PBLTES system, employing three phase-change-materials with varied phase transition temperatures. Parametric experiments were conducted to measure phase transition in capsules and temperature changes in heat transfer fluid. Pearson's correlation coefficients were used to establish relationships between driving factors and thermal performance metrics. This study developed multiple linear regression models based on experimental correlations to evaluate and predict thermal performance under various conditions. These results indicated that the employed multiple regression models are capable of making reliable quantitative predictions regarding the thermal behavior of cascaded PBLTES systems. The models showed a good fit to the experiment data (lowest R2 value at 0.776). The results also showed that the flow rate significantly affected total and phase transition times of the cascaded PBLTES for charging/discharging, with substantial Standardized linear regression Coefficients of -0.79/-0.8 and -0.74/-0.72, respectively. In contrast, inlet temperature, with coefficients of -0.18/0.15 and -0.34/0.21, has about a quarter of the flow rate's impact. These findings provide compelling experimental substantiation for the design of cascaded PBLTES.

关键词： Packed bed multiple phase change materials Thermal energy storage multiple linear regression model

来源：评论

学校读者我要写书评

暂无评论

regression analysis and its application to oil and gas exploration:A case study of hydrocarbon loss recovery and porosity prediction,China

引用

Energy Geoscience 2024年第4期5卷 240-252页

作者： Yang Li Xiaoguang Li Mingyu Guo Chang Chen Pengbo Ni Zijian Huang Liaohe Oilfield CNPCPanjinLiaoning124010China Tianjin Company of China National Offshore Oil Corporation Tianjin300452China China-France Bohai Geoservices Co. Ltd.Tianjin300450China Panjin Zhonglu Oil and Gas Technology Service Co. Ltd.PanjinLiaoning124000China

In oil and gas exploration,elucidating the complex interdependencies among geological variables is *** study introduces the application of sophisticated regression analysis method at the forefront,aiming not just at predicting geophysical logging curve values but also innovatively mitigate hydrocarbon depletion observed in geochemical *** a rigorous assessment,we explore the efficacy of eight regression models,bifurcated into linear and nonlinear groups,to accommodate the multifaceted nature of geological *** linear model suite encompasses the Standard Equation,Ridge regression,Least Absolute Shrinkage and Selection Operator,and Elastic Net,each presenting distinct *** Standard Equation serves as a foundational benchmark,whereas Ridge regression implements penalty terms to counteract overfitting,thus bolstering model robustness in the presence of *** Least Absolute Shrinkage and Selection Operator for variable selection functions to streamline models,enhancing their interpretability,while Elastic Net amalgamates the merits of Ridge regression and Least Absolute Shrinkage and Selection Operator,offering a harmonized solution to model complexity and *** the nonlinear front,Gradient Descent,Kernel Ridge regression,Support Vector regression,and Piecewise Function-Fitting methods introduce innovative *** Descent assures computational efficiency in optimizing solutions,Kernel Ridge regression leverages the kernel trick to navigate nonlinear patterns,and Support Vector regression is proficient in forecasting extremities,pivotal for exploration risk *** Piecewise Function-Fitting approach,tailored for geological data,facilitates adaptable modeling of variable interrelations,accommodating abrupt data trend *** analysis identifies Ridge regression,particularly when augmented by Piecewise Function-Fitting,as superior in recouping hydrocarbon losses,and underscoring it

关键词： regression analysis Oil and gas exploration multiple linear regression model Nonlinear regression model Hydrocarbon loss recovery Porosity prediction

来源：评论

学校读者我要写书评

暂无评论

Prediction model for Cd accumulation of rice (Oryza sativa L.) based on extractable Cd in soils and prediction for high Cd-risk regions of southern Zhejiang Province, China

引用

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 2023年第6期30卷 15964-15974页

作者： Kong, Fanyi Lu, Shenggao Zhejiang Univ Coll Environm & Resource Sci Minist EducKey Lab Environm Remediat & Ecosyst Zhejiang Prov Key Lab Agr Resources & Environm Hangzhou 310058 Peoples R China

Soil environmental quality in China for agricultural land always considers the effect of total cadmium (Cd) in soil, ignoring the bioavailability of soil Cd. The 139 paired rice (Oryza sativa L.) and soil samples were collected from the Cd-contaminated paddy fields of southern Zhejiang Province, China. The objectives of this study were to establish accurate prediction models for Cd accumulation in brown rice based on bioavailable Cd and physiochemical properties of soils and to evaluate the safety of rice production in Cd-contaminated paddy. The bioavailable Cd in soils was extracted and evaluated by using CaCl2, HNO3, diethylenetriamine pentaacetic acid (DTPA), diffusive gradients in thin-films technique (DGT), and sequential extraction method proposed by the European Community Bureau of Reference;100 pairs of data were used as training sets, and the remaining 39 sets were used as validation sets. Stepwise multiple linear regression analysis and random forest analysis showed that total Cd in soil could roughly indicate the content of Cd in rice, while extractable Cd could better explain the accumulation of Cd in rice grain and DTPA and DGT extractive technologies are the most evaluative. The validation sets also showed that the prediction model has a good fit. Based on the prediction model for Cd in brown rice based on soil pH and DGT extractive Cd, the Monte Carlo simulation showed that 74.32% and 89.35% of the estimated brown rice hazard quotient (HQ) of the daily Cd intake of adults and children in safe utilization paddy sites could exceed the safe level of 1, respectively. Additionally, the threshold values for extractable Cd by DGT or DTPA for rice safe production were 3.4 mu g/kg or 0.13 mg/kg when the pH in soils was below 5.5. The results further proved the threshold concentration of extractable Cd for predicting high-risk soils of Cd contamination in brown rice.

关键词： Cadmium Bioavailability Safe rice multiple linear regression model Health risk

来源：评论

学校读者我要写书评

暂无评论

Multi-step ahead ozone level forecasting using a component-based technique: A case study in Lima, Peru

AIMS ENVIRONMENTAL SCIENCE

引用

AIMS ENVIRONMENTAL SCIENCE 2024年第3期11卷 401-425页

作者： Quispe, Flor Salcedo, Eddy Iftikhar, Hasnain Zafar, Aimel Khan, Murad Rodrigues, Paulo Canas Lopez-Gonzales, Javier Linkolk Univ Peruana Union EP Ingenieria Ambiental Lima Peru Quaid i Azam Univ Dept Stat Islamabad 45320 Pakistan Univ Peshawar Dept Stat Peshawar Pakistan Univ Agr Dept Math Stat & Comp Sci Peshawar Pakistan Abdul Wali Khan Univ Mardan Dept Stat Mardan 23200 Pakistan Univ Peruana Union Escuela Posgrad Lima 15468 Peru Univ Fed Bahia Dept Stat Salvador Brazil

The rise in global ozone levels over the last few decades has harmed human health. This problem exists in several cities throughout South America due to dangerous levels of particulate matter in the air, particularly during the winter season, making it a public health issue. Lima, Peru, is one of the ten cities in South America with the worst levels of air pollution. Thus, e ffi cient and precise modeling and forecasting are critical for ozone concentrations in Lima. The focus is on developing precise forecasting models to anticipate ozone concentrations, providing timely information for adequate public health protection and environmental management. This work used hourly O 3 data in metropolitan areas for multi -step -ahead (one-, two-, three-, and seven -day -ahead) O 3 forecasts. A multiple linear regression model was used to represent the deterministic portion, and four -time series models, autoregressive, nonparametric autoregressive, autoregressive moving average, and nonlinear neural network autoregressive, were used to describe the stochastic component. The various horizon out -of -sample forecast results for the considered data suggest that the proposed component -based forecasting technique gives a highly consistent, accurate, and e ffi cient gain. This may be expanded to other districts of Lima, di ff erent regions of Peru, and even the global level to assess the e ffi cacy of the proposed component -based modeling and forecasting approach. Finally, no analysis has been undertaken using a component -based estimation to forecast ozone concentrations in Lima in a multistep -ahead manner.

关键词： multi-step ahead ozone forecasting global health multiple linear regression model time series models component-based forecasting technique

来源：评论

学校读者我要写书评

暂无评论

Inhibition of carbonaceous matters adsorbing gold using a green and efficient chlorinating agent TCCA: Inhibition behavior, kinetics and isotherms, inhibition mechanism

引用

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS 2023年第1期675卷

作者： Niu, Huiqun Yang, Hongying Zhao, Rongxin Tong, Linlin Cristiani, Pierangela Northeastern Univ Key Lab Ecol Met Multimet Mineral Minist Educ Shenyang 110819 Peoples R China Northeastern Univ Sch Met Shenyang 110819 Peoples R China Shandong Gold Min Ind Jiaojia Gold Mine Laizhou 264100 Peoples R China Sustainable Energy & Energy Sources Dept Via Rubattino 54 I-20134 Milan Italy

Refractory carbonaceous gold ore contains carbonaceous matters that seriously interfere with gold leaching. Therefore, this paper presented an in-depth experimental investigation on the inhibition gold-adsorbing behavior using Trichloroisocyanuric acid (TCCA). Various factors affecting the inhibition were analyzed. Moreover, the kinetics and isotherms associated with the adsorption were established to describe the gold adsorption of carbonaceous matters after TCCA treatment. A variety of analytical techniques were used to clarify the inhibition mechanism. The results showed the average gold adsorption percentage of elemental carbon decreased from 89.79 % to 9.33 % at pH 3.0, TCCA volume 15.17 mL, TCCA concentration 0.104 molL-1, 35 degree celsius and 3 h. The average adsorption percentage of humic acid decreased from 56.19 % to 3.13 % at pH 5.0, TCCA volume 5.10 mL, TCCA concentration 0.012 molL-1, 35 degree celsius and 4.5 h. The gold-adsorption behavior of the treated elemental carbon conformed to the pseudo-second-order and Langmuir model, accompanied by an activation energy of 9.42 kJmol(-1). And the adsorption process of the treated humic acid could be explained by the pseudo-first-order and Langmuir model with an activation energy of 40.11 kJmol(-1). TCCA molecules and their hydrolysis products covered the elemental carbon surface, resulting in a reduction in the size of the porous structure, which further affected the number and activity of surface-active sites. Treated with TCCA, the surface area of humic acid reduced from 42.84 m(2)g(-1) to 9.96 m(2)g(-1). Furthermore, spectroscopic analysis showed that the chemical groups of humic acid were destroyed, suggesting a sharp decrease in chemisorption capability.

关键词： Carbonaceous matters Inhibiting adsorption multiple linear regression model Kinetics and isotherms Inhibition mechanism

来源：评论

学校读者我要写书评

暂无评论

Research on exchange rate forecast based on MLR-ELM model

引用

INTERNATIONAL JOURNAL OF modelLING IDENTIFICATION AND CONTROL 2023年第3期43卷 249-257页

作者： Peng, Yi He, Kang Yu, Qing Chen, Yanan Shenzhen Polytech Sch Econ Shenzhen Peoples R China Changsha Univ Sch Econ & Management Changsha Peoples R China Guangzhou City Univ Technol Management Coll Guangzhou Peoples R China

This paper introduces a new model to predict the exchange rate. The model is a combination model of the multiple linear regression model (MLR) and the extreme learning machine model (ELM). The RMB-USD exchange rate is the object of prediction. Firstly, the sample data are pre-processed and divided into a training set and a test set;then a linear regression equation is created for the training set. The predicted values of the MLR model and other selected independent variables are the input data of ELM, which is determined by the training set. Secondly, the test set data are tested with parameter set obtained from the training set, and the optimal parameters of MLR-ELM model are determined by the performance of the training set and the test set. Finally, the exchange rate is predicted. The simulation results suggest that MLR-ELM model have a better prediction than the multiple linear regression model.

关键词： exchange rate forecast multiple linear regression model MLR extreme learning machine model ELM

来源：评论

学校读者我要写书评

暂无评论

Assessing digital transformation readiness: a comprehensive study of local clinics in Northwest Vietnam

引用

International Journal of Information Technology (Singapore) 2025年第3期17卷 1607-1617页

作者： Duong, An Hoai Nguyen, Thu Duc Duong, Giang Huong Tran, Thuy Thi Business School Griffith University Nathan Campus 170 Kessels Road Nathan 4111 QLD Australia Faculty of Business Administration Thai Nguyen University of Economics and Business Administration Thai Nguyen Viet Nam Department of Planning and Finance Thai Nguyen University of Economics and Business Administration Thai Nguyen Viet Nam Faculty of Biotechnology and Food Technology Thai Nguyen University of Agriculture and Forestry Thai Nguyen Viet Nam

Local clinics are pivotal in delivering primary healthcare, especially in economically disadvantaged areas like Vietnam’s Northwest. However, these regions face notable deficits in healthcare infrastructure. Digital transformation offers a promising solution. This study assesses the digital transformation readiness of 75 local clinics in Northwest Vietnam and investigates the impact of influential factors on this readiness. The study design involved collecting responses from clinic heads or designated representatives through a web-based survey. The sample size comprised 75 local clinics in Northwest Vietnam. multiple linear regressions were utilised to examine the impact of influential factors on the clinics’ digital transformation readiness. Findings indicate a significant readiness gap among the surveyed clinics, with observed scores falling below the maximum achievable score of 290. Most clinics scored between 63.5 and 116, highlighting substantial room for improvement in digital preparedness. The study unveiled significant relationships between digital readiness and clinic attributes. Negative correlations included clinic head age and reliance on e-wallets. Positive associations included seniority, social media engagement, and clinic characteristics like education and technology use. The regression results highlight positive associations with clinic head seniority, clinic social accounts, personnel using smart devices, and online patient record integration. Conversely, negative associations were noted with clinic head age and e-wallet usage. The findings stress targeted support for older clinic leaders in digital adaptation, highlight experienced leadership’s role, note distractions from financial technologies, emphasise social media’s digital readiness impact, and stress technological adoption’s importance, plus digital record-keeping benefits for clinics and patient care. © Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.

关键词： Local clinics multiple linear regression model Readiness for digital transformation Web-based surveys

来源：评论

学校读者我要写书评

暂无评论

Covid-19's Influence on the Sale of Chinese Commercial Residential Housing——Evaluation Analysis Based on Multi Variable linear regression model

Covid-19's Influence on the Sale of Chinese Commercial Resid...

引用

作者： Jiaming Yang Lei Chang School of Letters and Science University of California School of Big Data Changzhou University

In January 8th, 2023, Chinese government officially terminated its quarantine policies after the publication of "The Overall Plan of Implementing Category B Management Measures to Covid-19 As a Category B Infectious Disease", since then,Chinese society entered into a brand new phase of the recovery of economic ***, in January 17th, 2023, the vice prime minister He Liu made a speech about his optimistic opinions about future Chinese Housing Market in the annual meeting of Davos Forum. This paper chooses the sale of Chinese commercial residential housing as the research object and acquires annual data of Chinese Housing Market since 1998 from Huibo terminal platform and Qianzhan database as the experimental data. This paper uses STATA to model experimental data and conducts research of the sale of Chinese commercial residential housing through the method of linear regression analysis. Bases on the analysis of the experimental data, this paper finds out the conclusion that covid-19 causes significant impacts toward the sale of Chinese commercial residential housing. Bases on the fitting result derived from the fitting analysis of the sale of Chinese commercial residential housing from 2022 to 2024 in the experimental model, it points out that there is going to be significant recovery in Chinese housing market from 2023 to 2024.

关键词： China sale area of commercial housing Covid-19 sale of chinese commercial residential housing multiple linear regression model

来源：评论

学校读者我要写书评

暂无评论

Bayesian Estimation of Fault Slip Distribution for Slow Slip Events Based on an Efficient Hybrid Optimal Directional Gibbs Sampler and Its Application to the Guerrero 2006 Event

引用

MATHEMATICAL GEOSCIENCES 2023年第6期55卷 859-886页

作者： Montesinos-Lopez, J. Cricelio Capella, Antonio Christen, J. Andres Tago, Josue Ctr Invest Matemat AC Guanajuato Mexico Univ Nacl Autonoma Mexico Inst Matemat Mexico City DF Mexico Univ Nacl Autonoma Mexico Fac Ingn Mexico City DF Mexico

An efficient Bayesian approach is proposed to infer fault slip from geodetic data in a Slow Slip Event (SSE). The physical model of the slip process reduces to a multiple linear regression with constraints. Assuming a Gaussian model for the geodetic data and considering a multivariate truncated normal prior distribution for the unknown fault slip, the resulting posterior distribution is also a multivariate truncated normal. A prior slip distribution having a detailed correlation structure to impose natural coherence in the fault slip is proposed. Regarding the posterior, an ad hoc algorithm based on a Hybrid Optimal Directional Gibbs sampler is proposed that allows to sample efficiently from the resulting high-dimensional posterior slip distribution without supercomputing resources. A synthetic fault slip example illustrates the flexibility and accuracy of the proposed approach. This methodology is also applied to a real data set for the 2006 Guerrero, Mexico, SSE, where the objective is to recover the fault slip on a known interface that produces displacements observed at ground geodetic stations. As a by-product, our approach further allows us to estimate the Moment Magnitude for the 2006 Guerrero SSE with uncertainty quantification.

关键词： multiple linear regression model Slow slip events Mexico subduction zone Multivariate truncated normal distribution Bayesian uncertainty quantification Markov chain Monte Carlo

来源：评论

学校读者我要写书评

暂无评论

Analyzing geomorphological and topographical controls for the heterogeneous glacier mass balance in the Sikkim Himalayas

引用

Journal of Mountain Science 2023年第7期20卷 1854-1864页

作者： GUHA Supratim TIWARI Reet Kamal Geomatics Engineering Laboratory Department of Civil EngineeringIndian Institute of Technology RoparPunjab-140001India

Glacier response patterns at the catchment scale are highly heterogeneous and defined by a complex interplay of various dynamics and surface *** studies have explained heterogeneous responses in qualitative ways but quantitative assessment is lacking yet where an intrazone homogeneous climate assumption can be ***,in the current study,the reason for heterogeneous mass balance has been explained in quantitative methods using a multiple linear regression model in the Sikkim Himalayan *** first,the topographical parameters are selected from previously published studies,then the most significant topographical and geomorphological parameters are selected with backward stepwise subset selection ***,the contributions of selected parameters are calculated by least square *** results show that,the magnitude of mass balance lies between-0.003±0.24 to-1.029±0.24 m.w.e.a^(-1) between 2000 and 2020 in the Sikkim Himalaya ***,the study shows that,out of the terminus type of the glacier,glacier area,debris cover,ice-mixed debris,slope,aspect,mean elevation,and snout elevation of the glaciers,only the terminus type and mean elevation of the glacier are significantly altering the glacier mass balance in the Sikkim Himalayan ***,the mass loss is approximately 0.40 m.w.e.a^(-1) higher in the lake-terminating glaciers compared to the land-terminating glaciers in the same elevation *** the other hand,a thousand meters mean elevation drop is associated with 0.179 m.w.e.a-1of mass loss despite the terminus type of the *** the current study,the model using the terminus type of the glaciers and the mean elevation of the glaciers explains 76% of fluctuation of mass balance in the Sikkim Himalayan region.

关键词： Glacier mass balance Glacier terminus Topographical parameter Sikkim Himalaya multiple linear regression model

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：