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Article ; Online: Incidence and risk factors of stress urinary incontinence after laparoscopic hysterectomy.

Qian, XiaoHong / Ren, DongFang / Gu, liJuan / Ye, Cong

2024 Volume 24, Issue 1, Page(s) 105

Abstract: Objective: To observe the long-term effects of total hysterectomy on urinary function, evaluate the effects of preoperative nutritional status, urinary occult infection, and surgical factors on the induction of postoperative stress urinary incontinence ( ...

Abstract	Objective: To observe the long-term effects of total hysterectomy on urinary function, evaluate the effects of preoperative nutritional status, urinary occult infection, and surgical factors on the induction of postoperative stress urinary incontinence (SUI), and explore the incidence and risk factors of SUI. Study design: From January 2017 to December 2017, 164 patients with benign non-prolapsing diseases who underwent a laparoscopic total hysterectomy in the First People's Hospital of Taicang were selected as the analysis objects. The International Incontinence Standard Questionnaire for Female Lower Urinary Tract Symptoms (ICIQ-FLUTS) and Pelvic Floor Impact Questionnaire-short version 20 (PFDI-20) were used for telephone follow-up to subjectively assess the urinary function of patients, collect their medical records, and statistically analyze the number of postoperative SUI cases. Logistic multivariate analysis was used to analyze the influencing factors of postoperative female SUI, presented as adjusted odds ratios with 95% confidence intervals. Results: Only 97 out of 164 patients completed the ICIQ-FLUTS and PFDI-20 questionnaires. Among these participants, 28 patients (28.86%) were diagnosed with SUI (study group), while 69 patients (71.13%) were classified as women without SUI (control group). The age, menopause, parity ≥ 2 times, Body mass index (BMI) ≥ 28 kg/m Conclusions: Hysterectomy for benign non-prolapse diseases has a long-term potential impact on the urinary system of patients, and the risk of postoperative SUI increases. The main risk factors of SUI are parity, menopausal status, obesity, preoperative nutritional status, and occult infection of the urinary system.
MeSH term(s)	Pregnancy ; Infant, Newborn ; Female ; Humans ; Urinary Incontinence, Stress/epidemiology ; Urinary Incontinence, Stress/etiology ; Pelvic Organ Prolapse/surgery ; Incidence ; Hysterectomy/adverse effects ; Urinary Incontinence ; Risk Factors ; Laparoscopy/adverse effects ; Hemoglobins
Chemical Substances	Hemoglobins
Language	English
Publishing date	2024-02-08
Publishing country	England
Document type	Journal Article
ZDB-ID	2050444-5
ISSN	1472-6874 ; 1472-6874
ISSN (online)	1472-6874
ISSN	1472-6874
DOI	10.1186/s12905-024-02942-2
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Dynamic changes in provincial exhaust emissions in China in the carbon peak and neutrality setting: based on the effects of energy consumption and economic growth

Guo, Xiaopeng / Fu, Yihan / Ren, Dongfang / Zhang, Xinyue

Environ Sci Pollut Res. 2023 Jan., v. 30, no. 2 p.5161-5177

2023

Abstract: Reducing exhaust emissions, promoting economic development, and realizing clean energy utilization have always been concerns in China. To measure the relationship between them, this study selects the data related to energy consumption, economic growth, ... ...

Abstract	Reducing exhaust emissions, promoting economic development, and realizing clean energy utilization have always been concerns in China. To measure the relationship between them, this study selects the data related to energy consumption, economic growth, and exhaust emissions from 2000 to 2019 in 30 Chinese provinces. By constructing a panel vector autoregressive (PVAR) model, the dynamic relationship between them in China is quantitatively analyzed. The results show that there is a long-term interaction between energy consumption, economic growth, and exhaust emissions. Among them, economic growth is highly dependent on energy consumption, but it can promote the reduction of exhaust emissions. However, energy consumption will produce a large amount of industrial waste, such as sulfur dioxide and carbon dioxide emissions. Specifically, the industrial structure and energy structure have the most obvious impact on reducing industrial sulfur dioxide emissions and carbon emissions, with the proportion between 0.071–0.090 and 0.031–0.032, respectively. Therefore, the adjustment of industrial structure and energy structure is the key to exhaust emission reduction.
Keywords	carbon ; carbon dioxide ; clean energy ; economic development ; energy ; industrial wastes ; models ; sulfur dioxide ; China
Language	English
Dates of publication	2023-01
Size	p. 5161-5177.
Publishing place	Springer Berlin Heidelberg
Document type	Article ; Online
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-22534-7
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Dynamic changes in provincial exhaust emissions in China in the carbon peak and neutrality setting: based on the effects of energy consumption and economic growth.

Guo, Xiaopeng / Fu, Yihan / Ren, Dongfang / Zhang, Xinyue

Environmental science and pollution research international

2022 Volume 30, Issue 2, Page(s) 5161–5177

Abstract	Reducing exhaust emissions, promoting economic development, and realizing clean energy utilization have always been concerns in China. To measure the relationship between them, this study selects the data related to energy consumption, economic growth, and exhaust emissions from 2000 to 2019 in 30 Chinese provinces. By constructing a panel vector autoregressive (PVAR) model, the dynamic relationship between them in China is quantitatively analyzed. The results show that there is a long-term interaction between energy consumption, economic growth, and exhaust emissions. Among them, economic growth is highly dependent on energy consumption, but it can promote the reduction of exhaust emissions. However, energy consumption will produce a large amount of industrial waste, such as sulfur dioxide and carbon dioxide emissions. Specifically, the industrial structure and energy structure have the most obvious impact on reducing industrial sulfur dioxide emissions and carbon emissions, with the proportion between 0.071-0.090 and 0.031-0.032, respectively. Therefore, the adjustment of industrial structure and energy structure is the key to exhaust emission reduction.
MeSH term(s)	Economic Development ; Sulfur Dioxide ; Industry ; China ; Carbon Dioxide/analysis
Chemical Substances	Sulfur Dioxide (0UZA3422Q4) ; Carbon Dioxide (142M471B3J)
Language	English
Publishing date	2022-08-17
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-22534-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Research on big data analysis model of multi energy power generation considering pollutant emission—Empirical analysis from Shanxi Province

Ren, Dongfang / Guo, Xiaopeng / Li, Cunbin

Journal of cleaner production. 2021 Sept. 20, v. 316

2021

Abstract: With the development of the integrated energy Internet, energy structure optimization and emission reduction have led to higher requirements for developing various energy sources to enable coordinated and sustainable development. However, data-mining ... ...

Abstract	With the development of the integrated energy Internet, energy structure optimization and emission reduction have led to higher requirements for developing various energy sources to enable coordinated and sustainable development. However, data-mining methods are rarely used to study the coordination of multi-energy generation in published research results. In this study, from the perspective of power industry emissions, coordinated generation of various energy sources, and balance of power generation and consumption, a data-mining algorithm was used to analyze the development of thermal power, hydropower, wind power, waste heat, gas, and other power sources. The chi-square automatic interaction detection tree (CHAID), logistic regression, and two-step clustering methods were applied. The results show that: a) CO₂ and SO₂ emissions were mainly affected by thermal power generation, whereas NOₓ emissions were jointly affected by thermal power, garbage power, and gas-fired power, and the emissions of various pollutants increased with an increase in power consumption. The optimal power-generation scheme under minimum emission can be obtained. b) There was a strong correlation between thermal power generation and residential electricity consumption, and renewable energy (wind energy, photovoltaic, hydropower) exhibited the highest correlation with the electricity consumption of the tertiary industry, which indicates that renewable energy generation can be promoted by managing electricity consumption in the tertiary industry. c) When the electricity demand of all users was small, the proportion of renewable energy power generation increased; in contrast, the thermal power generation was larger. This indicates the importance of improving the sustainable and stable power supply of renewable energy. This study provides a data analysis model for the coordinated development of multiple energies, which will contribute to the decision-making basis for controlling power emissions, improving the utilization rate of renewable energy, and optimizing the energy structure.
Keywords	Internet ; algorithms ; carbon dioxide ; decision making ; electric energy consumption ; electricity ; energy ; energy industry ; heat ; models ; municipal solid waste ; pollutants ; power generation ; regression analysis ; sustainable development ; trees ; water power ; wind power ; China
Language	English
Dates of publication	2021-0920
Publishing place	Elsevier Ltd
Document type	Article
ISSN	0959-6526
DOI	10.1016/j.jclepro.2021.128154
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Article: Study on clean heating based on air pollution and energy consumption

Guo, Xiaopeng / Li, Cunbin / Ren, Dongfang

Environmental science and pollution research international. 2020 Feb., v. 27, no. 6

2020

Abstract: Air pollution in northern China is relatively serious during the winter heating period, which attracts the attention of the state and government, especially in Beijing–Tianjin–Hebei Region. To further explore the issue of air pollutant emission and ... ...

Abstract	Air pollution in northern China is relatively serious during the winter heating period, which attracts the attention of the state and government, especially in Beijing–Tianjin–Hebei Region. To further explore the issue of air pollutant emission and energy utilization in Beijing–Tianjin–Hebei during the heating season, this paper establishes a panel data model which describes the long-term relationship between air pollutant emission, heating capacity, coal, and power consumption with the data from 2004 to 2017. Based on this, we draw the following conclusions: there is a positive relationship between winter heating capacity and air pollutant emissions, which indicates that the energy consumed by heating will produce atmospheric pollutants. However, the increase of electricity consumption does not necessarily reduce pollution, which means that replacing coal with electricity is not the best way to solve air pollution in heating season, but requires the coordination of multiple energy sources. In addition, there are obvious differences in the analysis results in Beijing, Tianjin, and Hebei. For example, the impact of coal and electricity consumption on pollutant emissions in Beijing is quite different from that in Tianjin and Hebei. The local economic development and energy conditions should be fully taken into account when formulating policies.
Keywords	air pollutants ; air pollution ; coal ; economic development ; electric energy consumption ; electricity ; emissions ; energy ; heat ; issues and policy ; models ; pollution control ; winter ; China
Language	English
Dates of publication	2020-02
Size	p. 6549-6559.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-019-07093-8
Database	NAL-Catalogue (AGRICOLA)

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Article: Controlled synthesis of mesoporous silica nanoparticles with tunable architectures via oil-water microemulsion assembly process

Ren, Dongfang / Xu, Jiaqiong / Chen, Ning / Ye, Zixin / Li, Xiaofeng / Chen, Qiming / Ma, Shiyu

Colloids and surfaces. 2021 Feb. 20, v. 611

2021

Abstract: Mesoporous silica nanoparticles (MSNs) have received extensive attention owing to their fascinating properties in recent years. However, the controllable synthesis of MSNs with different morphologies and the transformation of various structures by using ... ...

Abstract	Mesoporous silica nanoparticles (MSNs) have received extensive attention owing to their fascinating properties in recent years. However, the controllable synthesis of MSNs with different morphologies and the transformation of various structures by using simple oil-water microemulsion assembly methods remains a challenge. Herein, a facile microemulsion assembly approach has been developed to fabricate MSNs with various morphologies, tunable particle diameter (135–280 nm), and pore size (2.8–32.8 nm). In the same reaction system, the evolution of walnut-like MSNs to mulberry-like MSNs has been easily achieved. The amount of pentanol not only plays an important role in the evolution of pore sizes but also significantly affects the interfacial interaction between soft templates and silica precursors, which is critical to the morphology of the resulting particles. As a result, wrinkle-like, dendritic-like, walnut-like, and mulberry-like mesoporous nanospheres can be synthesized. More importantly, MSNs with visible voids in the center can be successfully obtained during the synthesis process when the appropriate pentanol is employed. Other experimental parameters, such as the amount of isopropanol, the concentration of surfactant, and the concentration of alkali, were also investigated. A possible mechanism is proposed to account for the formation and growth of MSNs. The Au@NH₂-MSNs composite nanostructures can be used as a catalyst for the reduction of 4-nitrophenol by NaBH₄ into 4-aminophenol and exhibit superior catalytic performance.
Keywords	aminophenols ; catalysts ; catalytic activity ; emulsions ; isopropyl alcohol ; nanospheres ; p-nitrophenol ; particle size ; pentanols ; porosity ; porous media ; silica ; surfactants
Language	English
Dates of publication	2021-0220
Publishing place	Elsevier B.V.
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	1500517-3
ISSN	0927-7757
ISSN	0927-7757
DOI	10.1016/j.colsurfa.2020.125773
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Article ; Online: Study on clean heating based on air pollution and energy consumption.

Guo, Xiaopeng / Ren, Dongfang / Li, Cunbin

Environmental science and pollution research international

2019 Volume 27, Issue 6, Page(s) 6549–6559

Abstract: Air pollution in northern China is relatively serious during the winter heating period, which attracts the attention of the state and government, especially in Beijing-Tianjin-Hebei Region. To further explore the issue of air pollutant emission and ... ...

Abstract	Air pollution in northern China is relatively serious during the winter heating period, which attracts the attention of the state and government, especially in Beijing-Tianjin-Hebei Region. To further explore the issue of air pollutant emission and energy utilization in Beijing-Tianjin-Hebei during the heating season, this paper establishes a panel data model which describes the long-term relationship between air pollutant emission, heating capacity, coal, and power consumption with the data from 2004 to 2017. Based on this, we draw the following conclusions: there is a positive relationship between winter heating capacity and air pollutant emissions, which indicates that the energy consumed by heating will produce atmospheric pollutants. However, the increase of electricity consumption does not necessarily reduce pollution, which means that replacing coal with electricity is not the best way to solve air pollution in heating season, but requires the coordination of multiple energy sources. In addition, there are obvious differences in the analysis results in Beijing, Tianjin, and Hebei. For example, the impact of coal and electricity consumption on pollutant emissions in Beijing is quite different from that in Tianjin and Hebei. The local economic development and energy conditions should be fully taken into account when formulating policies.
MeSH term(s)	Air Pollutants ; Air Pollution ; Beijing ; China ; Environmental Monitoring ; Heating ; Particulate Matter
Chemical Substances	Air Pollutants ; Particulate Matter
Language	English
Publishing date	2019-12-24
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-019-07093-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: A system dynamics model of China’s electric power structure adjustment with constraints of PM10 emission reduction

Guo, Xiaopeng / Guo, Xiaodan / Ren, Dongfang

Environmental science and pollution research international. 2018 June, v. 25, no. 18

2018

Abstract: Recently, Chinese state environmental protection administration has brought out several PM10 reduction policies to control the coal consumption strictly and promote the adjustment of power structure. Under this new policy environment, a suitable analysis ...

Abstract	Recently, Chinese state environmental protection administration has brought out several PM10 reduction policies to control the coal consumption strictly and promote the adjustment of power structure. Under this new policy environment, a suitable analysis method is required to simulate the upcoming major shift of China’s electric power structure. Firstly, a complete system dynamics model is built to simulate China’s evolution path of power structure with constraints of PM10 reduction considering both technical and economical factors. Secondly, scenario analyses are conducted under different clean-power capacity growth rates to seek applicable policy guidance for PM10 reduction. The results suggest the following conclusions. (1) The proportion of thermal power installed capacity will decrease to 67% in 2018 with a dropping speed, and there will be an accelerated decline in 2023–2032. (2) The system dynamics model can effectively simulate the implementation of the policy, for example, the proportion of coal consumption in the forecast model is 63.3% (the accuracy rate is 95.2%), below policy target 65% in 2017. (3) China should promote clean power generation such as nuclear power to meet PM10 reduction target.
Keywords	coal ; dynamic models ; electric power ; environmental protection ; issues and policy ; nuclear power ; particulates ; power generation ; China
Language	English
Dates of publication	2018-06
Size	p. 17540-17552.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-018-1947-9
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A system dynamics model of China's electric power structure adjustment with constraints of PM10 emission reduction.

Guo, Xiaopeng / Ren, Dongfang / Guo, Xiaodan

Environmental science and pollution research international

2018 Volume 25, Issue 18, Page(s) 17540–17552

Abstract	Recently, Chinese state environmental protection administration has brought out several PM10 reduction policies to control the coal consumption strictly and promote the adjustment of power structure. Under this new policy environment, a suitable analysis method is required to simulate the upcoming major shift of China's electric power structure. Firstly, a complete system dynamics model is built to simulate China's evolution path of power structure with constraints of PM10 reduction considering both technical and economical factors. Secondly, scenario analyses are conducted under different clean-power capacity growth rates to seek applicable policy guidance for PM10 reduction. The results suggest the following conclusions. (1) The proportion of thermal power installed capacity will decrease to 67% in 2018 with a dropping speed, and there will be an accelerated decline in 2023-2032. (2) The system dynamics model can effectively simulate the implementation of the policy, for example, the proportion of coal consumption in the forecast model is 63.3% (the accuracy rate is 95.2%), below policy target 65% in 2017. (3) China should promote clean power generation such as nuclear power to meet PM10 reduction target.
MeSH term(s)	Air Pollution/analysis ; China ; Coal/analysis ; Conservation of Natural Resources ; Electricity ; Environmental Policy
Chemical Substances	Coal
Language	English
Publishing date	2018-04-16
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-018-1947-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Controllable preparation and formation mechanism of monodispersed bulk nanobubbles in dilute ethanol-water solutions

Chen, Ning / Wen, Zanwei / Li, Xiaofeng / Ye, Zixin / Ren, Dongfang / Xu, Jiaqiong / Chen, Qiming / Ma, Shiyu

Colloids and surfaces. 2021 May 05, v. 616

2021

Abstract: Ethanol-water mixing method has been widely used to prepare nanobubbles, however, in dilute ethanol-water solutions, the preparation of monodispersed bulk nanobubbles with high number density has not been achieved. Herein, a controllable bulk mixing (CBM) ...

Abstract	Ethanol-water mixing method has been widely used to prepare nanobubbles, however, in dilute ethanol-water solutions, the preparation of monodispersed bulk nanobubbles with high number density has not been achieved. Herein, a controllable bulk mixing (CBM) method is designed to fabricate monodispersed bulk nanobubbles at a low volume ratio of ethanol to water (less than 10:100), which can prepare high-number- density (at around 2 × 10⁹ bubbles/mL) and high-stability bulk nanobubbles. Notably, after 9 days of aging, a considerable number of nanobubbles can still be captured by NTA technology. The formation and influencing parameters of the bulk nanobubbles in this system are also explored. Based on our experimental results, a plausible mechanism of nanobubble nucleation and growth at ethanol/water interfaces is proposed to understand the formation of bulk nanobubbles. A hypothetical model is established and as a result the Laplace pressure of bulk nanobubbles in dilute ethanol-water solutions is obtained. The Laplace pressure given by the surface tension might be less than 0.5 atm.
Keywords	ethanol ; models ; nanobubbles ; surface tension
Language	English
Dates of publication	2021-0505
Publishing place	Elsevier B.V.
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	1500517-3
ISSN	0927-7757
ISSN	0927-7757
DOI	10.1016/j.colsurfa.2021.126372
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