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Article ; Online: Estimating the Price Elasticity of Natural Gas and Electricity in Pacific Northwest

Xue Zhao

SHS Web of Conferences, Vol 163, p

2023 Volume 01021

Abstract: This paper estimates the price elasticity of electricity and natural gas in the Pacific Northwest. Electricity and natural gas are substitutes; and demands of different classes of consumers for the energy are price-inelasticity. The results are when the ... ...

Abstract	This paper estimates the price elasticity of electricity and natural gas in the Pacific Northwest. Electricity and natural gas are substitutes; and demands of different classes of consumers for the energy are price-inelasticity. The results are when the price of retail electricity and natural gas changes, consumers would choose the cheaper one to make up for the increased cost of another energy price. Consumers’ demand for energy is mainly stable, they won’t affect a lot by the change in energy prices.
Keywords	Social Sciences ; H
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Secure and Efficient Federated Gradient Boosting Decision Trees

Xue Zhao / Xiaohui Li / Shuang Sun / Xu Jia

Applied Sciences, Vol 13, Iss 4283, p

2023 Volume 4283

Abstract: In recent years, federated GBDTs have gradually replaced traditional GBDTs, and become the focus of academic research. They are used to solve the task of structured data mining. Aiming at the problems of information leakage, insufficient model accuracy ... ...

Abstract	In recent years, federated GBDTs have gradually replaced traditional GBDTs, and become the focus of academic research. They are used to solve the task of structured data mining. Aiming at the problems of information leakage, insufficient model accuracy and high communication cost in the existing schemes of horizontal federated GBDTs, this paper proposes an algorithm of gradient boosting decision trees based on horizontal federated learning, that is, secure and efficient FL for GBDTs (SeFB). The algorithm uses locality sensitive hashing (LSH) to build a tree by collecting similar information of instances without exposing the original data of participants. In the stage of updating the tree, the algorithm aggregates the local gradients of all data participants and calculates the global leaf weights, so as to improve the accuracy of the model and reduce the communication cost. Finally, the experimental analysis shows that the algorithm can protect the privacy of the original data, and the communication cost is low. At the same time, the performance of the unbalanced binary data set is evaluated. The results show that SeFB algorithm compared with the existing schemes of horizontal federated GBDTs, the accuracy is improved by 2.53% on average.
Keywords	horizontal federated learning ; data security ; gradient boosting decision tree ; privacy protection ; LSH ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	006
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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Article ; Online: Infrared Spectrum and Principal Component Analysis of Heavy Tar Cut by Different Fractions from Tar-Rich Coal.

Zhang, Zhonghua / Xue, Zhao / Shu, Hao

ACS omega

2023 Volume 9, Issue 1, Page(s) 1352–1361

Abstract: The composition and content of heavy tar vary significantly depending on the pyrolysis conditions and separation methods. This study aimed to effectively identify the main components and content of heavy coal tar and provide a theoretical basis for its ... ...

Abstract	The composition and content of heavy tar vary significantly depending on the pyrolysis conditions and separation methods. This study aimed to effectively identify the main components and content of heavy coal tar and provide a theoretical basis for its subsequent utilization. To achieve this, simulated distillation and infrared spectrum analysis of heavy coal tar were conducted with a focus on understanding the impact of simulated distillation on the composition and structure of tar. The results showed that the fraction content in the tar underwent significant changes after simulated distillation at different temperatures. Specifically, the content of light oil decreased from 4.3 to 0.1%, while the asphalt content increased from 77.6 to 90.6%. Infrared spectrum and peak fitting revealed that the distilled coal tars exhibited similar characteristic peaks in regions associated with hydroxyl, aliphatic hydrocarbon, oxygen-containing functional group, and aromatic hydrocarbon structure. Based on the infrared spectrum of heavy coal tar, principal component analysis was conducted on different fractions. When using two principal components, the cumulative value reached 96.93%. It was found that PC1 displayed strong peak signals around 749 and 687 cm
Language	English
Publishing date	2023-12-28
Publishing country	United States
Document type	Journal Article
ISSN	2470-1343
ISSN (online)	2470-1343
DOI	10.1021/acsomega.3c07671
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Article ; Online: Exploring the Relationship between the Eco-Environmental Quality and Urbanization by Utilizing Sentinel and Landsat Data

Xiaolei Wang / Shiru Zhang / Xue Zhao / Shouhai Shi / Lei Xu

Remote Sensing, Vol 15, Iss 743, p

A Case Study of the Yellow River Basin

2023 Volume 743

Abstract: Yellow River Basin urban agglomeration (YRBU) is the main carrier of regional socio-economic development in the Yellow River Basin, and its eco-environmental quality, urbanization, and coupling coordination degree are facing higher demands. It is of ... ...

Abstract	Yellow River Basin urban agglomeration (YRBU) is the main carrier of regional socio-economic development in the Yellow River Basin, and its eco-environmental quality, urbanization, and coupling coordination degree are facing higher demands. It is of great significance for the development of YRBU to understand the interactive coupling relationship between the eco-environment and urbanization development from the multi-scale perspective. This research intended to understand the spatio-temporal characteristics of eco-environmental quality, urbanization, and coupling coordination degree in the study area from 2013 to 2021. We proposed an Adjusted Remote Sensing Ecological Index (A-RSEI), integrated Sentinel-2A, Landsat 8, and other remote sensing data to evaluate the eco-environmental quality of the study area, from 2013 to 2021. Coupled coordination degree (CCD) model was used to obtain the CCD between eco-environmental quality and urbanization. In addition, spatio-temporal and multi-scale analysis was carried out from the perspectives of urban agglomeration, municipal, county, and pixel scales. Combined with spatial autocorrelation analysis and Tapio decoupling model, the CCD was further explored. The results show that the proposed A-RSEI model is more suitable for monitoring the eco-environmental quality of the Yellow River Basin. The coupling coordination degree of eco-environment and urbanization in most regions of the study area are rising in a relatively green development trend. The multi-scale analysis among eco-environmental quality, urbanization, and CCD can not only indicate the impact of the central city on its surrounding areas but also help to describe the details of CCD combined with the terrain. The comprehensive discrimination of urban agglomeration and county scale is helpful to express the relationship between urbanization and eco-environmental quality centered on a certain city. The results can provide scientific support for eco-environment protection and high-quality development of the Yellow ...
Keywords	eco-environmental quality ; urbanization ; coupling coordination degree ; Yellow River Basin ; urban agglomeration ; Science ; Q
Subject code	710 ; 550
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Analysis of coupled coordination and spatial interaction effects between manufacturing and logistics industries in the Yellow River Basin of China

Aifeng Song / Yifan Liu / Xue Zhao / Xindie Liu / Dongling Bai

Heliyon, Vol 9, Iss 6, Pp e17556- (2023)

2023

Abstract: The coupled and coordinated development of the manufacturing and logistics industries has become an inevitable choice for achieving high-quality development in both sectors. In this study, we focused on nine provinces located in the Yellow River Basin ... ...

Abstract	The coupled and coordinated development of the manufacturing and logistics industries has become an inevitable choice for achieving high-quality development in both sectors. In this study, we focused on nine provinces located in the Yellow River Basin and analyzed panel data from 2010 to 2021. Our analysis, based on the super-efficient SBM-undesirable model, revealed that the coupling and coordination efficiency between the two industries in the region is moderate, with significant regional disparities. Additionally, using the Global Moran’s I and the local Moran’s I, we tested the spatial autocorrelation of the two industries and analyzed their spatial interaction effect using SDM. The study reveals that the manufacturing and logistics industries in the Yellow River Basin exhibit moderate coupling and coordination efficiency with significant regional variations. We found that the logistics industry plays a more supportive role in the manufacturing industry, particularly in Henan and Shandong provinces. Spatial spillover effects in terms of informationization, openness to the outside world, and energy consumption are more significant, while infrastructure investment does not exhibit significant spatial interaction effects. Based on our findings, we propose relevant development strategies for the two industries.
Keywords	Yellow River Basin ; Manufacturing industry ; Logistics industry ; Coupling and coordination ; Spatial interaction effect ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	380
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Investigation on the Effect of Graded Emergency Nursing Group under the Assistance of Multidisciplinary First Aid Knowledge Internet-Based Approach on the First Aid of Acute Myocardial Infarction

Lili Song / Han Lu / Hong Ru / Xue Zhao

Journal of Healthcare Engineering, Vol

2022 Volume 2022

Abstract: Objective. To analyze the effect of a graded emergency nursing group under the assistance of multidisciplinary first aid knowledge Internet-based approach on the first aid of acute myocardial infarction (AMI). Methods. The clinical data of 90 AMI ... ...

Abstract	Objective. To analyze the effect of a graded emergency nursing group under the assistance of multidisciplinary first aid knowledge Internet-based approach on the first aid of acute myocardial infarction (AMI). Methods. The clinical data of 90 AMI patients treated in our hospital from March 2019 to March 2020 were selected for the retrospective analysis, and the patients were divided into the observation group and the routine group according to the first aid order, with 45 cases each. The patients in the routine group received the conventional first aid measures, and the graded emergency nursing group mode with the help of multidisciplinary first aid knowledge Internet-based approach was adopted for those in the observation group so as to compare the prognosis, nursing satisfaction scores, etc., between the two groups. Results. Compared with the routine group, patients in the observation group obtained significantly lower various fast reaction indicators and quality of life score (P<0.001), higher nursing satisfaction score (P<0.001), lower total complication rate (P<0.05), higher successful rescue rate (P<0.05), and lower AMI recurrence rate and PCI reuse rate (P<0.05). Conclusion. Rescue measures by the graded emergency nursing group with the help of multidisciplinary first aid knowledge Internet-based approach are a reliable method for improving AMI patients, and such strategy greatly promotes patients’ quality of life and reduces the PCI reuse rate. Further research will be conducive to establishing a better solution for AMI patients.
Keywords	Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
Subject code	616
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Clinical characterization and follow-up analysis of twenty-one cases with neonatal diabetes mellitus

Xue Zhao / Wei Gu

Journal of Hainan Medical University, Vol 26, Iss 11, Pp 51-

2020 Volume 55

Abstract: Objective: We summarize the clinical and follow-up data of twenty-one children with neonatal diabetes mellitus (NDM) to strengthen the understanding of NDM and provide reference for clinical diagnosis and follow-up. Methods The clinical characteristics, ... ...

Abstract	Objective: We summarize the clinical and follow-up data of twenty-one children with neonatal diabetes mellitus (NDM) to strengthen the understanding of NDM and provide reference for clinical diagnosis and follow-up. Methods The clinical characteristics, growth and development of twenty-one children with NDM who were diagnosed and treated in the Children’s Hospital of Nanjing Medical University from January 2011 to August 2018 were retrospectively analyzed. Results The median age of diagnosis was 97 days and the follow-up period was 0.96 to 47.6 months years. At the time of new diagnosis, 7 cases were complicated with diabetic ketoacidosis and 3 cases with diabetic ketoacidosis. Seven patients had diabetic ketoacidosis (DKA) and three patients had diabetic ketosis (DK). Three cases were unclassified because of short follow-up time. Two patients are Transient neonatal diabetes mellitus (TNDM). Sixteen cases are Permanent neonatal diabetes mellitus (PNDM). Thirteen patients underwent drug-experiential treatment with a success rate of 53.8%. Twelve patients had growth and development disorders or language and motor retardation. Eleven cases were improved by genetic testing and the positive rate of gene mutation was 81.8%. There was no significant difference in treatment regimen, complications, genotype and other factors among different growth and development conditions (P > 0.05). Fisher exact probability analysis of growth and development in different treatment schemes showed that there was no significant difference (P＞0.05). Conclusions Patients with KCNJ11 and ABCC8 gene mutations often have developmental disorders and sulfonylurea drugs are effective, which can improve the outcome of developmental disorders. There was no correlation between age, complications, genotype and the outcome of growth. When conditions permit, we should perfect gene detection as soon as possible to identify the type of mutation, guiding treatment and judging prognosis.
Keywords	neonatal diabetes mellitus (ndm) ; sulfonylureas ; clinical characterization ; growth and development ; Medicine ; R
Subject code	610 ; 616
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	Editorial Board of Journal of Hainan Medical University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Realization of digital twin for dynamic control toward sample variation of ion exchange chromatography in antibody separation.

Shi, Ce / Chen, Xu-Jun / Zhong, Xue-Zhao / Yang, Yan / Lin, Dong-Qiang / Chen, Ran

Biotechnology and bioengineering

2024 Volume 121, Issue 5, Page(s) 1702–1715

Abstract: Digital twin (DT) is a virtual and digital representation of physical objects or processes. In this paper, this concept is applied to dynamic control of the collection window in the ion exchange chromatography (IEC) toward sample variations. A possible ... ...

Abstract	Digital twin (DT) is a virtual and digital representation of physical objects or processes. In this paper, this concept is applied to dynamic control of the collection window in the ion exchange chromatography (IEC) toward sample variations. A possible structure of a feedforward model-based control DT system was proposed. Initially, a precise IEC mechanistic model was established through experiments, model fitting, and validation. The average root mean square error (RMSE) of fitting and validation was 8.1% and 7.4%, respectively. Then a model-based gradient optimization was performed, resulting in a 70.0% yield with a remarkable 11.2% increase. Subsequently, the DT was established by systematically integrating the model, chromatography system, online high-performance liquid chromatography, and a server computer. The DT was validated under varying load conditions. The results demonstrated that the DT could offer an accurate control with acidic variants proportion and yield difference of less than 2% compared to the offline analysis. The embedding mechanistic model also showed a positive predictive performance with an average RMSE of 11.7% during the DT test under >10% sample variation. Practical scenario tests indicated that tightening the control target could further enhance the DT robustness, achieving over 98% success rate with an average yield of 72.7%. The results demonstrated that the constructed DT could accurately mimic real-world situations and perform an automated and flexible pooling in IEC. Additionally, a detailed methodology for applying DT was summarized.
MeSH term(s)	Chromatography, High Pressure Liquid/methods ; Antibodies, Monoclonal/chemistry ; Chromatography, Ion Exchange/methods
Chemical Substances	Antibodies, Monoclonal
Language	English
Publishing date	2024-01-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	280318-5
ISSN	1097-0290 ; 0006-3592
ISSN (online)	1097-0290
ISSN	0006-3592
DOI	10.1002/bit.28660
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Article: Global research hotspots, development trends and prospect discoveries of phase separation in cancer: a decade-long informatics investigation.

Guo, Song-Bin / Feng, Xue-Zhao / Huang, Wei-Juan / Zhou, Zhen-Zhong / Tian, Xiao-Peng

Biomarker research

2024 Volume 12, Issue 1, Page(s) 39

Abstract: Liquid-liquid phase separation (LLPS) is a complex and subtle phenomenon whose formation and regulation take essential roles in cancer initiation, growth, progression, invasion, and metastasis. This domain holds a wealth of underutilized unstructured ... ...

Abstract	Liquid-liquid phase separation (LLPS) is a complex and subtle phenomenon whose formation and regulation take essential roles in cancer initiation, growth, progression, invasion, and metastasis. This domain holds a wealth of underutilized unstructured data that needs further excavation for potentially valuable information. Therefore, we retrospectively analyzed the global scientific knowledge in the field over the last decade by using informatics methods (such as hierarchical clustering, regression statistics, hotspot burst, and Walktrap algorithm analysis). Over the past decade, this area enjoyed a favorable development trend (Annual Growth Rate: 34.98%) and global collaboration (International Co-authorship: 27.31%). Through unsupervised hierarchical clustering based on machine learning, the global research hotspots were divided into five dominant research clusters: Cluster 1 (Effects and Mechanisms of Phase Separation in Drug Delivery), Cluster 2 (Phase Separation in Gene Expression Regulation), Cluster 3 (Phase Separation in RNA-Protein Interaction), Cluster 4 (Reference Value of Phase Separation in Neurodegenerative Diseases for Cancer Research), and Cluster 5 (Roles and Mechanisms of Phase Separation). And further time-series analysis revealed that Cluster 5 is the emerging research cluster. In addition, results from the regression curve and hotspot burst analysis point in unison to super-enhancer (a=0.5515, R
Language	English
Publishing date	2024-04-16
Publishing country	England
Document type	Letter
ZDB-ID	2699926-2
ISSN	2050-7771
ISSN	2050-7771
DOI	10.1186/s40364-024-00587-9
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Article ; Online: BrRD20

Xue, Zhao / Zhang, Jierui / Li, Xin / Qian, Xuelei / Yan, Haifang

Functional plant biology : FPB

2023 Volume 50, Issue 10, Page(s) 821–829

Abstract: RESPONSIVE TO DESSICATION 20 (RD20) is a member of the caleosin family, which is involved in plant growth and development, signal transduction, abiotic stress and plant immunity. However, the molecular mechanism of the biological function of RD20 in ... ...

Abstract	RESPONSIVE TO DESSICATION 20 (RD20) is a member of the caleosin family, which is involved in plant growth and development, signal transduction, abiotic stress and plant immunity. However, the molecular mechanism of the biological function of RD20 in turnip is still largely unknown. This study aimed to characterise the roles of BrRD20 during abiotic stress resistance and their responses in various abiotic stresses by isolating BrRD20 (MK896873) from 'Tsuda' turnip. Quantitative polymerase chain reaction analysis showed that the highest expression levels of BrRD20 occurred in the petal, followed by the leaf, bud and red root epidermis, with tissue specificity. The transcript level of BrRD20 was much higher under natural light than under dark conditions in 0-5-day-old turnip seedlings. BrRD20 was also induced to be regulated by abiotic stresses such as high or low temperature, dehydration, osmotic hormone salt and alkali stresses. BrRD20 overexpression (BrRD20 -OE) in Chrysanthemum presented an enhanced tolerance to low temperature, dehydration and salt stress compared with the wild type. The BrRD20 gene was induced to be regulated by abiotic stresses such as high or low temperature, dehydration, osmotic and salt stresses. The BrRD20 gene also improved abiotic stress resistance in chrysanthemum. The above results suggested that BrRD20 plays a crucial role in abiotic stress resistance.
Language	English
Publishing date	2023-09-11
Publishing country	Australia
Document type	Journal Article
ZDB-ID	2071582-1
ISSN	1445-4416 ; 1445-4408
ISSN (online)	1445-4416
ISSN	1445-4408
DOI	10.1071/FP23044
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