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Article ; Online: Research on the capacity cost allocation and the electricity capacity price optimization method for a power system based on the BARY‐GA algorithm

Hang Liu / Qing Liu / Rui He / Feng Li / Kaiyan Luo

Energy Science & Engineering, Vol 12, Iss 1, Pp 168-

2024 Volume 180

Abstract: Abstract Under the new power system, a high proportion of new energy is widely connected to the power grid, and it is necessary to increase investment in centralized and distributed energy storage, flexible resource regulation, and transmission and ... ...

Abstract	Abstract Under the new power system, a high proportion of new energy is widely connected to the power grid, and it is necessary to increase investment in centralized and distributed energy storage, flexible resource regulation, and transmission and distribution grids, resulting in an increase in power system costs. The current electricity capacity price does not reflect the economic value of the added system adequately, and flexible capacity is needed to ensure the safety of the power grid under the new power system. In the context of the transformation of the new power system and investment function, it is increasingly difficult to recover the costs according to the traditional electricity price. It is necessary to establish a coordinated development mechanism for the electricity capacity price and the electricity price that recovers the fixed costs according to the investment function to ensure a reasonable return on investment in flexible resources and to provide effective investment signals. Therefore, this work first studied and proposed a mechanism for the formation of capacity and electricity prices based on the proportion of allowed income and fixed costs at different voltage levels and calculates the level of electricity capacity (demand) prices and electricity consumption prices. Then, using the BARY curve, genetic algorithm, and clustering of user load rates, a collaborative mechanism between the electricity capacity price and the electricity price was designed. With the goal of optimizing the electricity capacity price and considering constraints such as the flexibility and reliability of the new power system, the ratio of the capacity cost allocated to the electricity capacity price by voltage level users to the capacity cost allocated to the electricity price was calculated, and the optimal combination of electricity capacity price and electricity price for different load‐rate intervals was determined. Finally, the effectiveness of the model was verified through numerical simulations. On the basis ...
Keywords	BARY‐GA ; capacity pricing mechanism ; electricity capacity synergy ; new power system ; Technology ; T ; Science ; Q
Subject code	338
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: How risk perception and loss aversion affect farmers' willingness to withdraw from rural homesteads

Rui He / Yuhang Dai / Guiyan Sun

Heliyon, Vol 9, Iss 10, Pp e20918- (2023)

Mediating role of policy identity

2023

Abstract: Government-guided withdrawal from rural homesteads is a sustainable solution to the problem of vacant rural residential land. Nonetheless, few studies have considered the influence of risk perception and loss aversion on farmers' decisions to withdraw ... ...

Abstract	Government-guided withdrawal from rural homesteads is a sustainable solution to the problem of vacant rural residential land. Nonetheless, few studies have considered the influence of risk perception and loss aversion on farmers' decisions to withdraw from rural homesteads, and even fewer have investigated the role of policy identity. Using fieldwork-collected primary data and a lottery-choice experiment from a reform pilot area of southwestern China, this study aimed to provide a new focus for risk perception and loss aversion in farmers' intention to withdraw from rural homesteads through policy identity. According to our findings, only 45.30 % are willing to withdraw from their homesteads. Farmers typically perceive two to three categories of risks among residence risk, livelihood risk, security risk, and policy risk. Only 29.28 % of respondents report a low level of loss aversion, with the remainder reporting a moderate or high level. More than half demonstrate a high level of policy identity. Most notably, after dealing with endogeneity, risk perception has a negative impact on farmers' intention to withdraw from rural homesteads, whereas loss aversion has a positive impact. Policy identity has a positive influence on farmers' intention, partially mediating the negative path of risk perception and entirely mediating the positive path of loss aversion. Robust concluding remarks advocate for the improvement of farmers’ policy identity based on heterogeneous characteristics of risk perception and loss aversion, as well as a more individualized consideration of land withdrawal options.
Keywords	Withdrawal from rural homesteads ; Farmer willingness ; Risk perception ; Loss aversion ; Policy identity ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	910
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Aeromonas hydrophila infection in acute myeloid leukemia

Rui He / Siqi Zhong / Jinghua Fan

Asian Pacific Journal of Tropical Medicine, Vol 16, Iss 10, Pp 472-

A case report

2023 Volume 475

Abstract: Rationale: Aeromonas hydrophila, a bacterium commonly found in a variety of soils, aquatic habitats, and other natural environments, is known for causing infections and hemorrhagic diseases in both aquatic and terrestrial animals. Patients with leukemia, ...

Abstract	Rationale: Aeromonas hydrophila, a bacterium commonly found in a variety of soils, aquatic habitats, and other natural environments, is known for causing infections and hemorrhagic diseases in both aquatic and terrestrial animals. Patients with leukemia, when infected by Aeromonas hydrophila following chemotherapy, face an increased risk of developing necrotizing fasciitis. Patient concerns: A 48-year-old male with a history of acute myeloid leukemia presented with swelling and pain in his right hand after being stabbed by a grass carp two days ago. The injury occurred on the fifth day after his last chemotherapy session when he was accidentally punctured in the right thumb and ring finger by a carp while fishing. Two days following the injury, the skin isurrounding the wound turned black immediately, while the rest of his hand was reddened, swollen, and bleeding. Diagnosis: Aeromonas hydrophila infection in the soft tissue of the right hand. Interventions: Intravenous antibiotics and local debridement. Outcomes: The patient experienced an alleviation of systemic poisoning symptoms, effective control of the local wound infection. Lessons: It is important for physicians to appreciate the potential for highly unusual and life-threatening infections in patients with acute myeloid leukemia. Early diagnosis and prompt treatment can prevent the development of necrotizing fasciitis and save patients' lives.
Keywords	aeromonas hydrophila ; soft tissue infection ; antibiotic therapy ; case report ; Arctic medicine. Tropical medicine ; RC955-962
Subject code	610
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Media Exposure, Cancer Beliefs, and Cancer-Related Information-Seeking or Avoidance Behavior Patterns in China

Rui He / Yungeng Li

International Journal of Environmental Research and Public Health, Vol 18, Iss 3130, p

2021 Volume 3130

Abstract: This study explored the relationships between media exposure, cancer beliefs, and cancer information-seeking or information-avoidance behaviors. Based on the planned risk information-seeking model and its extended framework, two predictive models were ... ...

Abstract	This study explored the relationships between media exposure, cancer beliefs, and cancer information-seeking or information-avoidance behaviors. Based on the planned risk information-seeking model and its extended framework, two predictive models were constructed: one for cancer information seeking and the other for cancer information avoidance. A structural equation modeling strategy was applied to survey data from China HINTS 2017 ( n = 3090) to compare the impact of traditional mass media and social media exposure to cancer-related information on cancer information-seeking and information-avoidance behaviors. The study findings suggest that health-related information exposure through different media channels may generate distinctive information-seeking or information-avoidance behaviors based on various cancer beliefs. Additionally, the findings indicate that social media exposure to health-related and cancer curability beliefs does not lead to cancer information avoidance; both mass media and social media exposure encourage people to seek cancer-related information. Cancer fatalism is positively associated with cancer information-seeking and avoiding intentions, suggesting that negative cancer beliefs predict seemingly contradictory yet psychologically coherent information intentions and behaviors.
Keywords	mass and social media exposure ; cancer fatalism ; cancer curability ; cancer-related information seeking ; cancer-related information avoidance ; Medicine ; R
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effective Improvement of the Accuracy of Snow Cover Discrimination Using a Random Forests Algorithm Considering Multiple Factors

Rui He / Yan Qin / Qiudong Zhao / Yaping Chang / Zizhen Jin

Remote Sensing, Vol 15, Iss 4644, p

A Case Study of the Three-Rivers Headwater Region, Tibet Plateau

2023 Volume 4644

Abstract: Accurate information on snow cover extent plays a crucial role in understanding regional and global climate change, as well as the water cycle, and supports the sustainable development of socioeconomic systems. Remote sensing technology is a vital tool ... ...

Abstract	Accurate information on snow cover extent plays a crucial role in understanding regional and global climate change, as well as the water cycle, and supports the sustainable development of socioeconomic systems. Remote sensing technology is a vital tool for monitoring snow cover’ extent, but accurate identification of shallow snow cover on the Tibetan Plateau has remained challenging. Focusing on the Three-Rivers Headwater Region (THR), this study addressed this issue by developing a snow cover discrimination model (SCDM) using a random forests (RF) algorithm. Using daily observed snow depth (SD) data from 15 stations in the THR during the period 2001–2013, a comprehensive analysis was conducted, considering various factors influencing regional snow cover distribution, such as land surface reflectance, land surface temperature (LST), Normalized Difference Snow Index (NDSI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Forest Snow Index (NDFSI). The key results were as follows: (1) Optimal model performance was achieved with the parameters Ntree, Mtry, and ratio set to 1000, 2, and 19, respectively. The SCDM outperformed other snow cover products in both pixel-scale and local spatial-scale discrimination. (2) Spectral information of snow cover proved to be the most influential auxiliary variable in discrimination, and the combined inclusion of NDVI and LST improved model performance. (3) The SCDM achieved accuracy of 99.04% for thick snow cover (SD > 4 cm) and 98.54% for shallow snow cover (SD ≤ 4 cm), significantly ( p < 0.01) surpassing the traditional dynamic threshold method. This study can offer valuable reference for monitoring snow cover dynamics in regions with limited data availability.
Keywords	snow cover discrimination model ; random forests algorithm ; shallow snow cover ; Three-Rivers Headwater Region ; Science ; Q
Subject code	910 ; 551
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatial-temporal upsampling graph convolutional network for daily long-term traffic speed prediction

Song Zhang / Yanbing Liu / Yunpeng Xiao / Rui He

Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 8996-

2022 Volume 9010

Abstract: The daily long-term traffic prediction is an important urban computing issue, and can give users a global insight into traffic. Accurate traffic prediction is conducive to rational route planning and efficient traffic resource allocation. However, it is ... ...

Abstract	The daily long-term traffic prediction is an important urban computing issue, and can give users a global insight into traffic. Accurate traffic prediction is conducive to rational route planning and efficient traffic resource allocation. However, it is challenging to capture the global spatial-temporal correlations for daily long-term traffic prediction. In this paper, we propose a spatial-temporal upsampling graph convolutional network (STUGCN) for daily long-term traffic speed prediction. STUGCN uses an innovative upsampling method to capture the global spatial-temporal correlations. Specifically, in spatial dimension, we construct an upsampled road network by adding virtual nodes to the original road network to capture local and global spatial correlations. In temporal dimension, we build a time graph to capture the temporal correlations among adjacent time steps. Besides, we construct a knowledge base, and the global temporal correlations can be captured by upsampling the current day from the knowledge base. Therefore, STUGCN not only preserves the local spatial-temporal correlations, but also has the ability to learn global spatial-temporal correlations. The experimental results on two real-world datasets demonstrate that our approach is approximately 16.4%–17.1%, 14.1%–17.0% and 17.4%–22.4% better than the state-of-the-art in terms of MAE, RMSE and MAPE metrics, respectively.
Keywords	Long-term traffic speed prediction ; Spatial-temporal upsampling ; Graph convolutional network ; Intelligent transportation system ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Study of the Healing Effect of Concrete with Supplementary Cementitious Materials after Early-Age Damage by Acoustic Emission Technique

Zhonggou Chen / Rui He / Xianyu Jin

Applied Sciences, Vol 12, Iss 5871, p

2022 Volume 5871

Abstract: The study on the influence of early age damage of concrete on its long-term strength development is of great importance. In this work, 102 concrete cubes with and without supplementary cementitious materials (SCMs) were prepared. The pre-loading with ... ...

Abstract	The study on the influence of early age damage of concrete on its long-term strength development is of great importance. In this work, 102 concrete cubes with and without supplementary cementitious materials (SCMs) were prepared. The pre-loading with loading degrees of 20%, 50%, and 80% of the corresponding compressive strength at 3-, 7-, 14-, and 28 d age was applied to the concrete samples. Then, concrete samples were further cured to 270 d, and the compressive strength was tested by the uniaxial compression test. The acoustic emission signals during the compressive strength test were collected. It is found that the pozzolanic reaction healed the damage caused by the early age damage, and the compressive strength of concrete with the incorporation of SCMs at 270 d age after pre-loading was higher than that of ordinary concrete without SCMs. The peak frequency of the uniaxial compression acoustic emission of concrete can be divided into four frequency intervals to correspond to different damage mechanisms of concrete, namely: interval I (12 ± 5 kHz), interval II (38 ± 5 kHz), interval III (171 ± 5 kHz), interval IV (259 ± 5 kHz).
Keywords	acoustic emission ; self-healing ; pre-loading ; supplementary cementitious materials (SCMs) ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	690
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An extended state observer-based full-order sliding mode control for robotic joint actuated by antagonistic pneumatic artificial muscles

Daoxiong Gong / Mengyao Pei / Rui He / Jianjun Yu

International Journal of Advanced Robotic Systems, Vol

2021 Volume 18

Abstract: Pneumatic artificial muscles (PAMs) are expected to play an important role in endowing the advanced robot with the compliant manipulation, which is very important for a robot to coexist and cooperate with humans. However, the strong nonlinear ... ...

Abstract	Pneumatic artificial muscles (PAMs) are expected to play an important role in endowing the advanced robot with the compliant manipulation, which is very important for a robot to coexist and cooperate with humans. However, the strong nonlinear characteristics of PAMs hinder its wide application in robots, and therefore, advanced control algorithms are urgently needed for making the best use of the advantages and bypassing the disadvantages of PAMs. In this article, we propose a full-order sliding mode control extended state observer (fSMC-ESO) algorithm that combines the ESO and the fSMC for a robotic joint actuated by a pair of antagonistic PAMs. The fSMC is employed to eliminate the chattering and to guarantee the finite-time convergence, and the ESO is adopted to observe both the total disturbance and the states of the robot system, so that we can inhibit the disturbance and compensate the nonlinearity efficiently. Both simulations and physical experiments are conducted to validate the proposed method. We suggest that the proposed method can be applied to the robotic systems actuated by PAMs and remarkably improve the performance of the robot system.
Keywords	Electronics ; TK7800-8360 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2021-02-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Renal Water Conservation and Plasma Creatinine in Colorectal Cancer Surgery

Yuhong Li / Rui He / Shuangyan Hu / Robert G. Hahn

Frontiers in Medicine, Vol

A Single-Group Clinical Study

2022 Volume 9

Abstract: Elevation of plasma creatinine after surgery is associated with postoperative morbidity and mortality. We studied whether lengthy surgery might induce renal conservation of water strong enough to exceed the renal capacity to excrete creatinine. ... ...

Abstract	Elevation of plasma creatinine after surgery is associated with postoperative morbidity and mortality. We studied whether lengthy surgery might induce renal conservation of water strong enough to exceed the renal capacity to excrete creatinine. Colorectal cancer surgery was performed via laparoscopy in 126 patients. Blood and urine were sampled before surgery, in the postoperative care unit, and 1 day after surgery. The Fluid Retention Index (FRI), which is a composite index of renal water conservation, was calculated. The mean FRI before surgery was 2.4, indicating that patients were well-hydrated. The FRI increased to 2.8 after surgery, and further to 3.5 on the first postoperative day. Plasma creatinine increased in 66 (52%) of the patients while plasma proteins were diluted by 15%. Patients with urinary creatinine > 8.5 mmol/L before surgery were more likely to later show elevation of plasma creatinine (68 vs. 46%, P < 0.04). The final FRI was higher in those with perioperative elevation of plasma creatinine (median 3.7 vs. 3.4; P < 0.01) and a similar difference was found for the final urinary creatinine concentration (8.5 vs. 7.2 mmol/L; P < 0.01). The gastrointestinal recovery time was prolonged when >2 L of Ringer's had been infused during the surgery. We conclude that colorectal surgery initiated a process of renal water conservation that extended into the postoperative period. The water conservation was more intense and the urinary concentration of creatinine was higher in those who had a perioperative rise in plasma creatinine.
Keywords	creatinine ; plasma ; urine ; Acute Kidney Injury ; physiology ; dehydration ; Medicine (General) ; R5-920
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Far-Red-Light-Induced Morphology Changes, Phytohormone, and Transcriptome Reprogramming of Chinese Kale ( Brassica alboglabra Bailey)

Yamin Li / Haozhao Jiang / Meifang Gao / Rui He / Xiaojuan Liu / Wei Su / Houcheng Liu

International Journal of Molecular Sciences, Vol 24, Iss 5563, p

2023 Volume 5563

Abstract: With far-red-light supplementation (3 W·m −2 , and 6 W·m −2 ), the flower budding rate, plant height, internode length, plant display, and stem diameter of Chinese kale were largely elevated, as well as the leaf morphology such as leaf length, leaf width, ...

Abstract	With far-red-light supplementation (3 W·m −2 , and 6 W·m −2 ), the flower budding rate, plant height, internode length, plant display, and stem diameter of Chinese kale were largely elevated, as well as the leaf morphology such as leaf length, leaf width, petiole length, and leaf area. Consequently, the fresh weight and dry weight of the edible parts of Chinese kale were markedly increased. The photosynthetic traits were enhanced, and the mineral elements were accumulated. To further explore the mechanism that far-red light simultaneously promoted the vegetative growth and reproductive growth of Chinese kale, this study used RNA sequencing to gain a global perspective on the transcriptional regulation, combining it with an analysis of composition and content of phytohormones. A total of 1409 differentially expressed genes were identified, involved mainly in pathways related to photosynthesis, plant circadian rhythm, plant hormone biosynthesis, and signal transduction. The gibberellins GA 9 , GA 19 , and GA 20 and the auxin ME-IAA were strongly accumulated under far-red light. However, the contents of the gibberellins GA 4 and GA 24 , the cytokinins IP and cZ, and the jasmonate JA were significantly reduced by far-red light. The results indicated that the supplementary far-red light can be a useful tool to regulate the vegetative architecture, elevate the density of cultivation, enhance the photosynthesis, increase the mineral accumulation, accelerate the growth, and obtain a significantly higher yield of Chinese kale.
Keywords	Brassica alboglabra ; far-red light ; morphology ; phytohormone ; RNA sequencing ; mineral element ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	580
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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