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Article ; Online: Medium- and long-term power load forecasting model

Zhu Yuning / Xu Xiaoliang / Lai Ruoqi / Guo Hengqing / Jia Fan

E3S Web of Conferences, Vol 375, p

2023 Volume 03026

Abstract: Power load is an important part of power system, and power load forecasting has an important impact on power system analysis, design and control. With the development of smart micro grid, load forecasting has gradually become an important module in the ... ...

Abstract	Power load is an important part of power system, and power load forecasting has an important impact on power system analysis, design and control. With the development of smart micro grid, load forecasting has gradually become an important module in the energy management system, It is “source, network, load and storage” “An important link in energy flow matching. The staged combined demand forecasting model of power grid based on neural network and polynomial regression is adopted, and judgment conditions are added to the neural network. If the training sample data does not converge in the neural network training process, the neural network forecasting is terminated, and the data is automatically transferred to the polynomial regression model to obtain the forecasting results. This method can be initially used for annual and monthly load forecasting. It is an intelligent micro grid The planning of has laid a certain technical foundation.
Keywords	load forecasting ; neural network ; polynomial regression ; Environmental sciences ; GE1-350
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: Is Distributional Justice Equivalent to Prosocial Sharing in Children's Cognition?

Zhu, Yuning / Zhang, Jingmiao / Liu, Xiuli

Frontiers in psychology

2022 Volume 13, Page(s) 888028

Abstract: Distribution and sharing are social preference behaviors supported and shaped by selection pressures, which express individuals' concern for the welfare of others. Distributive behavior results in distributive justice, which is at the core of moral ... ...

Abstract	Distribution and sharing are social preference behaviors supported and shaped by selection pressures, which express individuals' concern for the welfare of others. Distributive behavior results in distributive justice, which is at the core of moral justice. Sharing is a feature of the prosocial realm. The connotations of distribution and sharing are different, so the principles, research paradigms, and social functions of the two are also different. Three potential causes of confusion between the two in the current research on distribution and sharing are discussed. First, they share common factors in terms of individual cognition, situation, and social factors. Second, although they are conceptually different, prosocial sharing and distribution fairness sensitivity are mutually predictive in individual infants. Similarly, neural differences in preschoolers' perception of distribution fairness predict their subsequent sharing generosity. Finally, similar activation regions are relevant to distribution and sharing situations that need behavioral control on a neural basis.
Language	English
Publishing date	2022-07-12
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2022.888028
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Article ; Online: Grid investment capability prediction based on path analysis and BP neural network

Zhang Chengke / Liu Huideng / Zhu Yuning / Wang Yuzhu / Hu Zeping

SHS Web of Conferences, Vol 151, p

2022 Volume 01043

Abstract: With the more complex investment environment of China’s power grid, the accurate prediction of the investment ability of power grid enterprises has become an important prerequisite for managers to make precise investment decisions. This paper first ... ...

Abstract	With the more complex investment environment of China’s power grid, the accurate prediction of the investment ability of power grid enterprises has become an important prerequisite for managers to make precise investment decisions. This paper first selects the factors affecting the investment capacity of the power grid from the internal and external environment, and establishes the index system of the factors affecting the investment capacity. Secondly, the path analysis is used to deeply explore the interaction relationship and influence degree of each index and investment capacity. Finally, the maximum investment capacity of the power network can be predicted based on the BP neural network prediction model. The results show that the BP neural network prediction model can achieve higher prediction accuracy when predicting the power grid investment capability.
Keywords	index system ; path analysis ; bp neural network ; power grid investment capability ; Social Sciences ; H
Subject code	338
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Combining HbA1c and insulin resistance to assess the risk of gestational diabetes mellitus: A prospective cohort study.

Yin, Binbin / Ding, Lijing / Chen, Zhuopeng / Chen, Yan / Zhu, Bo / Zhu, Yuning

Diabetes research and clinical practice

2023 Volume 199, Page(s) 110673

Abstract: Objective: To investigate the association of glycated hemoglobin (HbA1c) and homeostasis model assessment insulin resistance (HOMA-IR) with gestational diabetes mellitus (GDM) risk.: Methods: Data for this study were from a prospective cohort in ... ...

Abstract	Objective: To investigate the association of glycated hemoglobin (HbA1c) and homeostasis model assessment insulin resistance (HOMA-IR) with gestational diabetes mellitus (GDM) risk. Methods: Data for this study were from a prospective cohort in Hangzhou, China. We included pregnant women with HbA1c, fasting insulin, and fasting glucose (FG) measured at 15-20 weeks of gestation and underwent oral glucose tolerance test (OGTT) at 24-28 weeks. Based on HbA1c and HOMA-IR, participants were divided into four groups. We estimated the odds ratios (OR) with 95% confidence intervals (CI) to assess the associations of HbA1c and HOMA-IR with GDM occurrence. Finally, we the potential additive interaction between HbA1c and HOMA-IR by calculating relative excess risk due to interaction (RERI) and the attributable proportion due to interaction (AP). Result: 462 pregnant women were included, of whom 136 (29.44%) developed GDM. Based on HbA1c and HOMA-IR, the study population was divided into four groups, with the percentages of each group being 51.30%, 15.58%, 20.56%, and 12.55%, respectively. The incidence of GDM increased with the increase of HOMA-IR and HbA1c, respectively, and the risk of GDM was significantly increased when both HOMA-IR and HbA1c were elevated. However, no such risk was observed in pregnant women < 35 years. Finally, we found significantly higher FG at 24-28 weeks in the high HOMA-IR and HbA1c group among GDM-positive pregnant women. Conclusions: The incidence of GDM increased with increasing HbA1c and HOMA-IR, and the risk of GDM was significantly increased when both HbA1c and HOMA-IR were elevated. This finding may help to identify high-risk women for GDM early in pregnancy and provide timely interventions.
MeSH term(s)	Female ; Pregnancy ; Humans ; Diabetes, Gestational/diagnosis ; Diabetes, Gestational/epidemiology ; Insulin Resistance ; Glycated Hemoglobin ; Prospective Studies ; Blood Glucose ; Insulin
Chemical Substances	Glycated Hemoglobin ; Blood Glucose ; Insulin
Language	English
Publishing date	2023-04-17
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	632523-3
ISSN	1872-8227 ; 0168-8227
ISSN (online)	1872-8227
ISSN	0168-8227
DOI	10.1016/j.diabres.2023.110673
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Article ; Online: Is SARS-CoV-2 Infection Causing the Reactivation of Cytomegalovirus?

Yin, Binbin / Wu, Peihao / Zhu, Yuning / Zhou, Shaomin / Bai, Yongying / Ding, Lijing / Chen, Yan / Zhu, Bo

The Pediatric infectious disease journal

2023 Volume 42, Issue 11, Page(s) e427–e429

Language	English
Publishing date	2023-07-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	392481-6
ISSN	1532-0987 ; 0891-3668
ISSN (online)	1532-0987
ISSN	0891-3668
DOI	10.1097/INF.0000000000004048
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Article ; Online: Epidemiology, prenatal diagnosis, and neonatal outcomes of congenital heart defects in eastern China: a hospital-based multicenter study.

Zhang, Xiaohui / Sun, Yu / Zhu, Jiajun / Zhu, Yuning / Qiu, Liqian

BMC pediatrics

2020 Volume 20, Issue 1, Page(s) 416

Abstract: Background: Congenital heart defect is the leading malformation in China. There may have been changes in congenital heart defect incidence because of birth policy shift in China over past years. This study aimed to investigate the epidemiology, prenatal ...

Abstract	Background: Congenital heart defect is the leading malformation in China. There may have been changes in congenital heart defect incidence because of birth policy shift in China over past years. This study aimed to investigate the epidemiology, prenatal diagnosis, and outcomes of congenital heart disease to improve medical and policy decisions. Methods: Data on cases of congenital heart disease identified during 2014-2018 were taken from the Zhejiang provincial birth defects surveillance system. Chi-square test, odds ratio (OR) and 95% confidence interval (CI) were used to explore epidemiology, prenatal diagnosis, and birth outcomes of congenital heart disease. Results: The average incidence of congenital heart disease was 16.0 per 1000 births, which increased by 62.2% during 2014-2018(χ Conclusions: The high incidence of congenital heart disease in Zhejiang might be attributable to the large proportion of mild congenital heart disease. The incidence of critical congenital heart disease, the prenatal detection rate, and perinatal deaths from congenital heart disease are comparable to those in other studies.
MeSH term(s)	Adult ; China/epidemiology ; Female ; Heart Defects, Congenital/diagnostic imaging ; Heart Defects, Congenital/epidemiology ; Hospitals ; Humans ; Incidence ; Infant, Newborn ; Pregnancy ; Prenatal Diagnosis ; Young Adult
Language	English
Publishing date	2020-09-02
Publishing country	England
Document type	Journal Article ; Multicenter Study ; Research Support, Non-U.S. Gov't
ZDB-ID	2041342-7
ISSN	1471-2431 ; 1471-2431
ISSN (online)	1471-2431
ISSN	1471-2431
DOI	10.1186/s12887-020-02313-4
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Article ; Online: Reduced glycodeoxycholic acid levels are associated with negative clinical outcomes of gestational diabetes mellitus.

Zhu, Bo / Ma, Zhixin / Zhu, Yuning / Fang, Lei / Zhang, Hong / Kong, Hongwei / Xia, Dajing

Journal of Zhejiang University. Science. B

2021 Volume 22, Issue 3, Page(s) 223–232

Abstract: Gestational diabetes mellitus (GDM) is characterized by glycemia and insulin disorders. Bile acids (BAs) have emerged as vital signaling molecules in glucose metabolic regulation. BA change in GDM is still unclear, which exerts great significance to ... ...

Abstract	Gestational diabetes mellitus (GDM) is characterized by glycemia and insulin disorders. Bile acids (BAs) have emerged as vital signaling molecules in glucose metabolic regulation. BA change in GDM is still unclear, which exerts great significance to illustrate the change of BAs in GDM. GDM patients and normal pregnant women were enrolled during the oral glucose tolerance test (OGTT) screening period. Fasting serums were sampled for the measurement of BAs. BA metabolism profiles were analyzed in both pregnant women with GDM and those with normal glucose tolerance (NGT). Delivery characteristics, delivery gestational age, and infant birthweight were extracted from medical records. GDM patients presented distinctive features compared with NGT patients, including higher body mass index (BMI), elevated serum glucose concentration, raised insulin (both fasting and OGTT), and increased hemoglobin A1c (HbA1c) levels. Higher homeostasis model assessment of insulin resistance (HOMA-IR) and decreased β-cell compensation (i.e., oral disposition index (DI
MeSH term(s)	Adult ; Diabetes, Gestational/metabolism ; Female ; Glycodeoxycholic Acid/blood ; Humans ; Insulin/blood ; Insulin Resistance ; Pregnancy ; Pregnancy Outcome ; Young Adult
Chemical Substances	Insulin ; Glycodeoxycholic Acid (360-65-6)
Language	English
Publishing date	2021-03-15
Publishing country	China
Document type	Journal Article
ZDB-ID	2247290-3
ISSN	1862-1783 ; 1673-1581
ISSN (online)	1862-1783
ISSN	1673-1581
DOI	10.1631/jzus.B2000483
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Article ; Online: Association of higher HbA1c within the normal range with adverse pregnancy outcomes: a cross-sectional study.

Yin, Binbin / Hu, Lingwei / Meng, Xingjun / Wu, Kaiqi / Zhang, Long / Zhu, Yuning / Zhu, Bo

Acta diabetologica

2021 Volume 58, Issue 8, Page(s) 1081–1089

Abstract: Objective: The aim of this study was to investigate the association between a relatively high HbA1c level within the normal range and the risk of adverse pregnancy outcomes.: Methods: This retrospective cohort study was conducted between March 2018 ... ...

Abstract	Objective: The aim of this study was to investigate the association between a relatively high HbA1c level within the normal range and the risk of adverse pregnancy outcomes. Methods: This retrospective cohort study was conducted between March 2018 and March 2019 at Women's Hospital, School of Medicine, Zhejiang University. Multiple logistic regression models after adjusting for plausible confounders were implemented to assess the relationships between the level of HbA1c and adverse pregnancy outcomes. Results: A total of 8585 women were included in our study. The rates of preterm birth, macrosomia and preeclampsia were 4.4% (380/8585), 5.3% (457/8585) and 1.7% (149/8585), respectively. After adjusting for potential confounding variables, an HbA1c range of 5.5-5.9% (37-41 mmol/mol) remained significantly associated with an increased risk of preterm delivery (a-OR 2.27; 95% CI, 1.50-3.43), macrosomia (a-OR 1.97; 95% CI, 1.32-2.94) and preeclampsia (a-OR 3.70; 95% CI, 2.07-6.60). GDM-negative pregnant women with an HbA1c level in the range of 5.5-5.9% (37-41 mmol/mol) had an increased risk of preterm delivery (a-OR 2.84; 95% CI, 1.71-4.71) and preeclampsia (a-OR 3.82; 95% CI, 1.81-8.04). However, GDM-positive pregnant women had an increased risk of macrosomia (a-OR 2.12; 95% CI, 1.13-3.97) and preeclampsia (a-OR 2.62; 95% CI, 1.01-6.81). Conclusion: A higher HbA1c level within the normal range is an independent risk factor for preterm delivery and preeclampsia, especially among GDM-negative women. Therefore, relevant medical staff should enhance the awareness of risk and prevention to strengthen pregnancy monitoring.
MeSH term(s)	Adult ; Cohort Studies ; Cross-Sectional Studies ; Diabetes, Gestational/diagnosis ; Diabetes, Gestational/epidemiology ; Female ; Fetal Macrosomia/epidemiology ; Glycated Hemoglobin A/analysis ; Humans ; Infant, Newborn ; Pre-Eclampsia/epidemiology ; Pregnancy ; Pregnancy Complications/epidemiology ; Pregnancy Outcome ; Premature Birth/epidemiology ; Reference Values ; Retrospective Studies ; Risk Factors
Chemical Substances	Glycated Hemoglobin A
Language	English
Publishing date	2021-03-25
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1097676-0
ISSN	1432-5233 ; 0940-5429
ISSN (online)	1432-5233
ISSN	0940-5429
DOI	10.1007/s00592-021-01691-0
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Article ; Online: Antimicrobial Susceptibility and Clonality of Vaginally Derived Multidrug-Resistant

Zhang, Xueying / Bai, Yongying / Zhang, Long / Draz, Mohamed S / Ruan, Zhi / Zhu, Yuning

Antimicrobial agents and chemotherapy

2020 Volume 64, Issue 8

Abstract: Here, the antimicrobial susceptibility, resistance mechanisms, and clonality ... ...

Abstract	Here, the antimicrobial susceptibility, resistance mechanisms, and clonality of
MeSH term(s)	Anti-Bacterial Agents/pharmacology ; China ; Clindamycin/pharmacology ; Microbial Sensitivity Tests ; Mobiluncus ; Phylogeny
Chemical Substances	Anti-Bacterial Agents ; Clindamycin (3U02EL437C)
Language	English
Publishing date	2020-07-22
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	217602-6
ISSN	1098-6596 ; 0066-4804
ISSN (online)	1098-6596
ISSN	0066-4804
DOI	10.1128/AAC.00780-20
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Article: Case Report: Cancer spectrum and genetic characteristics of a

Zhang, Ying / Wang, Xiaolu / Zhu, Yuning / Liang, Chong / Zhao, Lijun / Meng, Qi / Yin, Jiani C / Shi, Yuqian / Wang, Fufeng / Qin, Feng / Xuan, Ji

Frontiers in oncology

2023 Volume 13, Page(s) 1222873

Abstract: Germline variations in the DNA polymerase genes, ...

Abstract	Germline variations in the DNA polymerase genes,
Language	English
Publishing date	2023-09-06
Publishing country	Switzerland
Document type	Case Reports
ZDB-ID	2649216-7
ISSN	2234-943X
ISSN	2234-943X
DOI	10.3389/fonc.2023.1222873
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