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Article ; Online: Series Arc Fault Detection under Vibration Condition Based on N-M-M-B.

Liu, Yanli / Yang, Ganqing / Wang, Huiyang

2024 Volume 24, Issue 3

Abstract: Under the conditions of a mechanical fault in a motor, mechanical vibration of a specific frequency can be generated. The electrical contact points directly connected to the motor can vibrate at the same frequency. The electrical contact points with poor ...

Abstract	Under the conditions of a mechanical fault in a motor, mechanical vibration of a specific frequency can be generated. The electrical contact points directly connected to the motor can vibrate at the same frequency. The electrical contact points with poor contact can easily produce a series arc fault under vibration conditions, which affects the reliability of the power supply. In order to detect the series arc fault under different vibration conditions, the arc fault generator is connected between the back end of the frequency converter and the motor. An arc fault experiment under different vibration conditions was carried out and the fault phase current and arc voltage signals were collected. In this paper, the noise-assisted multivariate empirical mode decomposition and the correlation coefficient between each intrinsic mode function are used to select the fault feature signals. Then, the reconstructed signal is input into the series arc fault model combining a multi-scale convolutional neural network and a bidirectional long short-term memory network for training. The research results show that the series arc fault detection method proposed in this paper can effectively detect the series arc fault and can preliminarily identify the type of motor fault causing the mechanical vibration of the motor; the model has good noise immunity and generalization.
Language	English
Publishing date	2024-02-01
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24030959
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Analysis and validation of potential ICD-related biomarkers in development of myopia using machine learning.

Zhang, Yun / Liu, Yanli / An, Meixia

International ophthalmology

2024 Volume 44, Issue 1, Page(s) 116

Abstract: Purpose: We aimed to identify and verify potential biomarkers in the development of myopia associated with immunogenic cell death (ICD).: Methods: We download high myopia (HM) dataset GSE136701 from Gene Expression Omnibus. Differentially expressed ... ...

Abstract	Purpose: We aimed to identify and verify potential biomarkers in the development of myopia associated with immunogenic cell death (ICD). Methods: We download high myopia (HM) dataset GSE136701 from Gene Expression Omnibus. Differentially expressed genes in HM were identified to overlapped with ICD-related genes. Least absolute shrinkage and selection operator were used to select the Hub genes. Furthermore, the correlation between the hub genes and immune infiltration, immune response activities, and hub genes Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis was investigated using Spearman's rank correlation. Prediction of the miRNAs upstream of the Hub genes was based on the TargetScan database. We used guinea pig lens-induced myopia model's scleral tissues performed quantitative real-time polymerase chain reaction. Results: We identified overlapped with ICD-related genes (LY96, IL1A, IL33, and AGER) and two genes (LY96 and AGER) as hub genes. Single sample gene set enrichment analysis and Spearman's rank correlation revealed that hub gene expression levels in HM were significantly correlated with the infiltration percentages of CD56dim natural killer cells, macrophages, immature B cells, and the immune response activities of APC co-stimulation and Kyoto Encyclopedia of Genes and Genomes pathways, such as terpenoid backbone biosynthesis, aminoacyl-trna biosynthesis, Huntington's disease, oxidative phosphorylation; there were a few additional signaling pathways compared to normal samples. Additionally, several miRNA were predicted as upstream regulators of LY96 and AGER. LY96 was identified as a significantly differentially expressed biomarker in myopia guinea pig's scleral tissues, as verified by qPCR. Conclusion: LY96 was identified and verified as a ICD-related potential myopia biomarker. Molecular mechanisms or pathways involved in myopia development by LY96 requires further research.
MeSH term(s)	Animals ; Guinea Pigs ; Immunogenic Cell Death ; Machine Learning ; Biomarkers ; Huntington Disease ; MicroRNAs/genetics ; Myopia/diagnosis ; Myopia/genetics
Chemical Substances	Biomarkers ; MicroRNAs
Language	English
Publishing date	2024-02-27
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	800087-6
ISSN	1573-2630 ; 0165-5701
ISSN (online)	1573-2630
ISSN	0165-5701
DOI	10.1007/s10792-024-02986-1
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Zs.A 1479: Show issues

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Article ; Online: Stochastic user equilibrium based spatial-temporal distribution prediction of electric vehicle charging load

Liu, Ke / Liu, Yanli

Applied Energy. 2023 June, v. 339 p.120943-

2023

Abstract: As the number of electric vehicles (EVs) connected to the grid increases, the EV electricity demand rises dramatically, affecting the grid’s planning and operation and deepening the coupling of the power and transportation systems. Therefore, accurate ... ...

Abstract	As the number of electric vehicles (EVs) connected to the grid increases, the EV electricity demand rises dramatically, affecting the grid’s planning and operation and deepening the coupling of the power and transportation systems. Therefore, accurate spatial–temporal distribution prediction of EV charging load is vital for both power system and coupled power-transportation system studies. This paper proposes a novel method based on stochastic user equilibrium (SUE) for predicting the accurate spatial–temporal distribution of EV charging load synchronized with traffic states. A prediction framework of EV charging load based on SUE and trip chain is proposed, which can effectively reflect the actual behavior of EVs in synchronous traffic states. Then, the extended logit-based SUE and equivalent mathematical model are proposed to obtain more detailed traffic states with intersection turning flows and delays. Meanwhile, the unified reachability and charging models are established to ensure that the trip chain is reachable and the charging characteristics are suitable for different EV types. Finally, the method of the successive averages (MSA) and the Dijkstra-based K-shortest paths algorithms are integrated to solve the proposed framework iteratively with stable convergence. Test results on a realistic traffic network show that the proposed method can effectively reflect the charging and trip characteristics of different EV types while ensuring reachability. And it can also accurately predict the overall and individual EV travel costs and total charging loads in detailed synchronous traffic states. In particular, even in the case of high EV penetration with higher peak-to-valley differences and charging demand, the convergence of the prediction is still stable with even more remarkable prediction effectiveness, especially during peak load hours. Furthermore, the quantitative analysis based on proposed criticality indexes reveals that traffic network failures will affect the network-wide traffic states and EV charging loads with different node-level impact characteristics, which should be considered in joint power-transportation restoration scheduling.
Keywords	electric vehicles ; electricity ; energy ; mathematical models ; prediction ; quantitative analysis ; traffic ; travel ; Electric vehicle ; Intersection delay ; Spatial-temporal distribution ; Stochastic user equilibrium
Language	English
Dates of publication	2023-06
Publishing place	Elsevier Ltd
Document type	Article ; Online
ZDB-ID	2000772-3
ISSN	0306-2619
ISSN	0306-2619
DOI	10.1016/j.apenergy.2023.120943
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Advances in organic–inorganic nanocomposites for cancer imaging and therapy

Xie Wenhui / Liu Yanli / Lin Juntang

Nanotechnology Reviews, Vol 12, Iss 1, Pp 869-

2023 Volume 35

Abstract: All in one” organic–inorganic nanocomposites with high biocompatibility and excellent physicochemical properties have recently attracted special attention in cancer imaging and therapy. Combination of organic and inorganic materials confers the ... ...

Abstract	“All in one” organic–inorganic nanocomposites with high biocompatibility and excellent physicochemical properties have recently attracted special attention in cancer imaging and therapy. Combination of organic and inorganic materials confers the nanocomposites with superior biocompatibility and biodegradability of organic materials, as well as magnetic, mechanical, and optical properties of inorganic materials. Increased endeavors have been made to produce diverse organic–inorganic nanocomposites and investigate their potential applications in cancer treatment. Thus, a systematic review of research progresses of diverse organic–inorganic nanocomposites in cancer imaging and therapy is indispensable. Following a brief overview of nanocomposites synthesis, classification, and functionalization, the current review is focused on comprehensively summarizing representatives of both organic–inorganic nanoscale nanocomposites (including organic-silica, organic-carbon, organic-quantum dots, organic-platinum family metals, organic-gold, organic metal oxides, and other nanocomposites) and organic–inorganic molecular nanocomposites (including metal-organic frameworks, organosilica nanoparticles, and amorphous metal coordination polymer particles), and further analyzing their working mechanism in cancer imaging and therapy. Finally, the challenges and future perspectives of organic–inorganic nanocomposites are addressed for promoting their developments and clinical application in cancer treatment.
Keywords	organic–inorganic nanocomposites ; targeting ; synergic therapy ; cancer treatment ; Technology ; T ; Chemical technology ; TP1-1185 ; Physical and theoretical chemistry ; QD450-801
Subject code	540
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	De Gruyter
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Butorphanol inhibits the proliferation, migration and invasion of cell line MCF7 through regulating PBX3 gene

LIU Yan-li

Jichu yixue yu linchuang, Vol 40, Iss 2, Pp 203-

2020 Volume 208

Abstract: Objective To investigate the effects of butorphanol on proliferation, migration and invasion of breast cancer cell line MCF7 and its related molecular mechanisms. Methods MTT assay was used to detect the inhibitory effect of different concentrations of ... ...

Abstract	Objective To investigate the effects of butorphanol on proliferation, migration and invasion of breast cancer cell line MCF7 and its related molecular mechanisms. Methods MTT assay was used to detect the inhibitory effect of different concentrations of butorphanol on human breast cancer MCF7 cell proliferation. Transwell migration and invasion assay were used to detect the effects of different concentrations of butorphanol on migration and invasion of human breast cancer MCF7 cells. RT-qCR and Western blot were used to detect PBX3 mRNA and protein expression in breast cancer cell lines, normal breast epithelial cells and butorphanol-treated MCF7 cells, respectively. MCF7 cells were transfected with si-PBX3 or si-con, and the changes of cell proliferation, migration and invasion were observed. PBX3 overexpression was used to verify the effect of butorphanol on proliferation, migration and invasion of breast cancer. The expressions of cyclin D1 and MMP-2 protein were detected by Western blot. Results The expression of PBX3 was up-regulated in breast cancer cell lines as compared to normal breast epithelial cells, and silencing PBX3 expression significantly inhibited the proliferation, migration and invasion of MCF7 cells,and inhibited the expression of cyclin D1 and MMP-2. Different concentrations of butorphanol significantly inhibited the proliferation, migration and invasion of MCF7 cells in a concentration-dependent manner, and inhibited the expression of PBX3, cyclin D1 and MMP-2. Overexpression of PBX3 reversed the inhibitory effect of butorphanol on proliferation, migration and invasion of breast cancer cells. Conclusions Butorphanol can reduce the proliferation, migration and invasion of breast cancer cells by inhibiting PBX3.
Keywords	butorphanol\|breast cancer\|pbx3\|proliferation\|migration\|invasion ; Medicine ; R
Subject code	616 ; 610
Language	Chinese
Publishing date	2020-02-01T00:00:00Z
Publisher	Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Thyroid-stimulating hormone levels are associated with estradiol levels and impact reproductive outcomes in preconceptionally euthyroid women undergoing their first IVF/ICSI cycles.

Zhang, Yuchao / Li, Jiaheng / Liu, Yanli / Li, Zhen / Guan, Yichun

Hormones (Athens, Greece)

2024

Abstract: Purpose: Controlled ovarian hyperstimulation (COH) has been reported to affect thyroid function; however, the impact of thyroid-stimulating hormone (TSH) levels during COH on embryo development and early reproductive outcomes has largely not been ... ...

Abstract	Purpose: Controlled ovarian hyperstimulation (COH) has been reported to affect thyroid function; however, the impact of thyroid-stimulating hormone (TSH) levels during COH on embryo development and early reproductive outcomes has largely not been determined. Therefore, the aim of the present study was to investigate whether TSH levels are associated with COH and impact early reproductive outcomes in preconceptionally euthyroid women. Methods: This was a prospective cohort study. A total of 338 euthyroid women who underwent their first in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment using the gonadotropin releasing hormone agonist (GnRH-a) protocol were included. Samples were collected at different representative time points for TSH and estradiol measurements. Results: TSH levels significantly increased with the administration of Gn and maintained this tendency until the trigger day. Basal TSH levels increased along with basal estradiol levels and remained stable when estradiol levels were higher than 150 pmol/L. On the trigger day, TSH levels changed with increasing estradiol levels in the high-normal basal TSH group but not in the low TSH group. TSH did not impact clinical pregnancy or early pregnancy loss after adjusting for age, stage or number of embryos. Conclusion(s): Serum TSH levels change significantly during COH and are associated with significant changes in estradiol levels. However, euthyroid women with high-normal TSH levels showed similar development potential for inseminated embryos and early reproductive outcomes compared to those with low TSH levels.
Language	English
Publishing date	2024-03-06
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2075912-5
ISSN	2520-8721 ; 1109-3099
ISSN (online)	2520-8721
ISSN	1109-3099
DOI	10.1007/s42000-024-00538-x
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 5613: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Chemical inhibitors targeting histone methylation readers.

Huang, Xiaolei / Chen, Yichang / Xiao, Qin / Shang, Xinci / Liu, Yanli

Pharmacology & therapeutics

2024 Volume 256, Page(s) 108614

Abstract: Histone methylation reader domains are protein modules that recognize specific histone methylation marks, such as methylated or unmethylated lysine or arginine residues on histones. These reader proteins play crucial roles in the epigenetic regulation of ...

Abstract	Histone methylation reader domains are protein modules that recognize specific histone methylation marks, such as methylated or unmethylated lysine or arginine residues on histones. These reader proteins play crucial roles in the epigenetic regulation of gene expression, chromatin structure, and DNA damage repair. Dysregulation of these proteins has been linked to various diseases, including cancer, neurodegenerative diseases, and developmental disorders. Therefore, targeting these proteins with chemical inhibitors has emerged as an attractive approach for therapeutic intervention, and significant progress has been made in this area. In this review, we will summarize the development of inhibitors targeting histone methylation readers, including MBT domains, chromodomains, Tudor domains, PWWP domains, PHD fingers, and WD40 repeat domains. For each domain, we will briefly discuss its identification and biological/biochemical functions, and then focus on the discovery of inhibitors tailored to target this domain, summarizing the property and potential application of most inhibitors. We will also discuss the structural basis for the potency and selectivity of these inhibitors, which will aid in further lead generation and optimization. Finally, we will also address the challenges and strategies involved in the development of these inhibitors. It should facilitate the rational design and development of novel chemical scaffolds and new targeting strategies for histone methylation reader domains with the help of this body of data.
MeSH term(s)	Humans ; Histones/metabolism ; Epigenesis, Genetic ; Methylation ; Neoplasms ; Protein Domains ; Protein Binding
Chemical Substances	Histones
Language	English
Publishing date	2024-02-22
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	194735-7
ISSN	1879-016X ; 0163-7258
ISSN (online)	1879-016X
ISSN	0163-7258
DOI	10.1016/j.pharmthera.2024.108614
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 1183: Show issues

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Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article: Transfer learning based multi-layer extreme learning machine for probabilistic wind power forecasting

Liu, Yanli / Wang, Junyi

Applied energy. 2022 Apr. 15, v. 312

2022

Abstract: With the increasing penetration of wind power, probabilistic forecasting becomes critical to quantifying wind power uncertainties and guiding power system operations. This paper proposes a transfer learning based probabilistic wind power forecasting ... ...

Abstract	With the increasing penetration of wind power, probabilistic forecasting becomes critical to quantifying wind power uncertainties and guiding power system operations. This paper proposes a transfer learning based probabilistic wind power forecasting method. Model-based transfer learning is utilized to construct the multi-layer extreme learning machine (MLELM). The output mapping factors of MLELM are further optimized through the particle swarm optimization (PSO) with the objective of minimizing the quantile evaluation indexes. Joint distribution adaptation (JDA) is utilized to update the weights of MLELM to accommodate variable wind power output. Test results on the practical wind farms in China shows that the proposed method can provide more accurate quantile forecasting results with better nonlinear fitting ability compared with other quantile forecasting methods.
Keywords	algorithms ; energy ; wind ; wind power
Language	English
Dates of publication	2022-0415
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2000772-3
ISSN	0306-2619
ISSN	0306-2619
DOI	10.1016/j.apenergy.2022.118729
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Accurate Monocular SLAM Initialization via Structural Line Tracking.

Gu, Tianlun / Zhang, Jianwei / Liu, Yanli

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 24

Abstract: In this paper, we present a novel monocular simultaneous localization and mapping (SLAM) initialization algorithm that relies on structural features by tracking structural lines. This approach addresses the limitations of the traditional method, which ... ...

Abstract	In this paper, we present a novel monocular simultaneous localization and mapping (SLAM) initialization algorithm that relies on structural features by tracking structural lines. This approach addresses the limitations of the traditional method, which can fail to account for a lack of features or their uneven distribution. Our proposed method utilizes a sliding window approach to guarantee the quality and stability of the initial pose estimation. We incorporate multiple geometric constraints, orthogonal dominant directions, and coplanar structural lines to construct an efficient pose optimization strategy. Experimental evaluations conducted on both the collected chessboard datasets and real scene datasets show that our approach provides superior results in terms of accuracy and real-time performance compared to the well-tuned baseline methods. Notably, our algorithm achieves these improvements while being computationally lightweight, without the need for matrix decomposition.
Language	English
Publishing date	2023-12-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23249870
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: An Order Reduction Design Framework for Higher-Order Binary Markov Random Fields.

Chen, Zhuo / Yang, Hongyu / Liu, Yanli

Entropy (Basel, Switzerland)

2023 Volume 25, Issue 3

Abstract: The order reduction method is an important approach to ... ...

Abstract	The order reduction method is an important approach to optimize
Language	English
Publishing date	2023-03-20
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2014734-X
ISSN	1099-4300 ; 1099-4300
ISSN (online)	1099-4300
ISSN	1099-4300
DOI	10.3390/e25030535
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