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Article ; Online: Full-color based on bismuth core-shell nanoparticles in one-step fabrication.

Chen, Yu-Peng / Lai, Chien-Chih / Tsai, Wan-Shao

2020 Volume 28, Issue 17, Page(s) 24511–24525

Abstract: Plasmonic resonances in metallic nanostructures are promising for the structure-dependent color-rendering effect. In this study, bismuth is selected as an alternative plasmonic material due to its large tunable range from near-ultraviolet to near- ... ...

Abstract	Plasmonic resonances in metallic nanostructures are promising for the structure-dependent color-rendering effect. In this study, bismuth is selected as an alternative plasmonic material due to its large tunable range from near-ultraviolet to near-infrared. Various sizes of core-shell bismuth nanoparticles are fabricated on a large-area silicon substrate using a one-step thermal evaporation deposition process. Particle diameters, cross-sections, and arrangement are characterized at 12 featured sections, which reveal spectral shifts and full visible colors in a hue order with a color gamut that is close to sRGB. Color palettes on the chromaticity coordinates rendered from both measured and simulation reflection spectra are in very good accordance with the microscopic image colors of all sections.
Language	English
Publishing date	2020-09-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	1491859-6
ISSN	1094-4087 ; 1094-4087
ISSN (online)	1094-4087
ISSN	1094-4087
DOI	10.1364/OE.398903
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Using Smartwatches to Detect Face Touching.

Bai, Chen / Chen, Yu-Peng / Wolach, Adam / Anthony, Lisa / Mardini, Mamoun T

Sensors (Basel, Switzerland)

2021 Volume 21, Issue 19

Abstract: Frequent spontaneous facial self-touches, predominantly during outbreaks, have the theoretical potential to be a mechanism of contracting and transmitting diseases. Despite the recent advent of vaccines, behavioral approaches remain an integral part of ... ...

Abstract	Frequent spontaneous facial self-touches, predominantly during outbreaks, have the theoretical potential to be a mechanism of contracting and transmitting diseases. Despite the recent advent of vaccines, behavioral approaches remain an integral part of reducing the spread of COVID-19 and other respiratory illnesses. The aim of this study was to utilize the functionality and the spread of smartwatches to develop a smartwatch application to identify motion signatures that are mapped accurately to face touching. Participants (
MeSH term(s)	COVID-19 ; Face ; Female ; Humans ; Machine Learning ; SARS-CoV-2 ; Support Vector Machine
Language	English
Publishing date	2021-09-30
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/s21196528
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: An Enhanced Region Proposal Network for object detection using deep learning method.

Chen, Yu Peng / Li, Ying / Wang, Gang

PloS one

2018 Volume 13, Issue 9, Page(s) e0203897

Abstract: Faster Region-based Convolutional Network (Faster R-CNN) is a state-of-the-art object detection method. However, the object detection effect of Faster R-CNN is not good based on the Region Proposal Network (RPN). Inspired by RPN of Faster R-CNN, we ... ...

Abstract	Faster Region-based Convolutional Network (Faster R-CNN) is a state-of-the-art object detection method. However, the object detection effect of Faster R-CNN is not good based on the Region Proposal Network (RPN). Inspired by RPN of Faster R-CNN, we propose a novel proposal generation method called Enhanced Region Proposal Network (ERPN). Four improvements are presented in ERPN. Firstly, our proposed deconvolutional feature pyramid network (DFPN) is introduced to improve the quality of region proposals. Secondly, novel anchor boxes are designed with interspersed scales and adaptive aspect ratios. Thereafter, the capability of object localization is increased. Thirdly, a particle swarm optimization (PSO) based support vector machine (SVM), termed PSO-SVM, is developed to distinguish the positive and negative anchor boxes. Fourthly, the classification part of multi-task loss function in RPN is improved. Consequently, the effect of classification loss is strengthened. In this study, our proposed ERPN is compared with five object detection methods on both PASCAL VOC and COCO data sets. For the VGG-16 model, our ERPN obtains 78.6% mAP on VOC 2007 data set, 74.4% mAP on VOC 2012 data set and 31.7% on COCO data set. The performance of ERPN is the best among the comparison object detection methods. Furthermore, the detection speed of ERPN is 5.8 fps. Additionally, ERPN obtains good effect on small object detection.
MeSH term(s)	Algorithms ; Deep Learning ; Neural Networks, Computer ; Support Vector Machine
Language	English
Publishing date	2018-09-20
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0203897
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Decoding the Key Functional Combined Components Group and Uncovering the Molecular Mechanism of Longdan Xiegan Decoction in Treating Uveitis.

Zheng, Yi-Xu / Wang, Ke-Xin / Chen, Si-Jin / Liao, Mu-Xi / Chen, Yu-Peng / Guan, Dao-Gang / Wu, Jing / Xiong, Ke

Drug design, development and therapy

2022 Volume 16, Page(s) 3991–4011

Abstract: Objective: Longdan Xiegan Decoction (LXD) is a famous herbal formula in China. It has been proved that LXD has been shown to have a significant inhibitory effect on suppresses the inflammatory cells associated with uveitis. However, the key functional ... ...

Abstract	Objective: Longdan Xiegan Decoction (LXD) is a famous herbal formula in China. It has been proved that LXD has been shown to have a significant inhibitory effect on suppresses the inflammatory cells associated with uveitis. However, the key functional combination of component groups and their possible mechanisms remain unclear. Methods: The community detecting model of the network, the functional response space, and reverse prediction model were utilized to decode the key components group (KCG) and possible mechanism of LXD in treating uveitis. Finally, MTT assay, NO assay and ELISA assay were applied to verify the effectiveness of KCG and the accuracy of our strategy. Results: In the components-targets-pathogenic genes-disease (CTP) network, a combination of Huffman coding and random walk algorithm was used and eight foundational acting communities (FACs) were discovered with important functional significance. Verification has shown that FACs can represent the corresponding C-T network for treating uveitis. A novel node importance calculation method was designed to construct the functional response space and pick out 349 effective proteins. A total of 54 components were screened and defined as KCG. The pathway enrichment results showed that KCG and their targets enriched signal pathways of IL-17, Toll-like receptor, and T cell receptor played an important role in the pathogenesis of uveitis. Furthermore, experimental verification results showed that important KCG quercetin and sitosterol markedly inhibited the production of nitric oxide and significantly regulated the level of TNF-α and IFN-γ in Lipopolysaccharide-induced RAW264.7 cells. Discussion: In this research, we decoded the potential mechanism of the multi-components-genes-pathways of LXD's pharmacological action mode against uveitis based on an integrated pharmacology approach. The results provided a new perspective for the future studies of the anti-uveitis mechanism of traditional Chinese medicine.
MeSH term(s)	Humans ; Drugs, Chinese Herbal/pharmacology ; Drugs, Chinese Herbal/therapeutic use ; Uveitis/metabolism ; Signal Transduction ; Medicine, Chinese Traditional
Chemical Substances	longdan xiegan decoction ; Drugs, Chinese Herbal
Language	English
Publishing date	2022-11-17
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2451346-5
ISSN	1177-8881 ; 1177-8881
ISSN (online)	1177-8881
ISSN	1177-8881
DOI	10.2147/DDDT.S385136
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Uncovering the potential mechanism of Xue Fu Zhu Yu Decoction in the treatment of intracerebral hemorrhage

Xue, Dao-jin / Zhen, Zheng / Wang, Ke-xin / Zhao, Jialin / Gao, Yao / Chen, Yu-peng / Shen, You-bi / Peng, Zi-zhuang / Guan, Dao-gang / Huang, Tao

BMC Complement Med Ther. 2022 Dec., v. 22, no. 1 p.103-103

2022

Abstract: BACKGROUND: Chinese herbal medicine (CHM) is characterized by “multi- compounds, multi-targets and multi-pathway”, which has advanced benefits for preventing and treating complex diseases, but there still exists unsolved issues, mainly include unclear ... ...

Abstract	BACKGROUND: Chinese herbal medicine (CHM) is characterized by “multi- compounds, multi-targets and multi-pathway”, which has advanced benefits for preventing and treating complex diseases, but there still exists unsolved issues, mainly include unclear material basis and underlying mechanism of prescription. Integrated pharmacology is a hot cross research area based on system biology, mathematics and poly-pharmacology. It can systematically and comprehensively investigate the therapeutic reaction of compounds or drugs on pathogenic genes network, and is especially suitable for the study of complex CHM systems. Intracerebral Hemorrhage (ICH) is one of the main causes of death among Chinese residents, which is characterized with high mortality and high disability rate. In recent years, the treatment of ICH by CHM has been deeply researched. Xue Fu Zhu Yu Decoction (XFZYD), one of the commonly used prescriptions in treating ICH at clinic level, has not been clear about its mechanism. METHODS: Here, we established a strategy, which based on compounds-targets, pathogenetic genes, network analysis and node importance calculation. Using this strategy, the core compounds group (CCG) of XFZYD was predicted and validated by in vitro experiments. The molecular mechanism of XFZYD in treating ICH was deduced based on CCG and their targets. RESULTS: The results show that the CCG with 43 compounds predicted by this model is highly consistent with the corresponding Compound-Target (C-T) network in terms of gene coverage, enriched pathway coverage and accumulated contribution of key nodes at 89.49%, 88.72% and 90.11%, respectively, which confirmed the reliability and accuracy of the effective compound group optimization and mechanism speculation strategy proposed by us. CONCLUSIONS: Our strategy of optimizing the effective compound groups and inferring the mechanism provides a strategic reference for explaining the optimization and inferring the molecular mechanism of prescriptions in treating complex diseases of CHM.
Keywords	complement ; death ; genes ; hemorrhage ; herbal medicines ; mathematics ; models ; mortality ; pharmacology ; therapeutics
Language	English
Dates of publication	2022-12
Size	p. 103.
Publishing place	BioMed Central
Document type	Article ; Online
ISSN	2662-7671
DOI	10.1186/s12906-022-03577-2
Database	NAL-Catalogue (AGRICOLA)

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Article: Corrigendum: Detecting key functional components group and speculating the potential mechanism of Xiao-Xu-Ming decoction in treating stroke.

Chen, Yu-Peng / Wang, Ke-Xin / Cai, Jie-Qi / Li, Yi / Yu, Hai-Lang / Wu, Qi / Meng, Wei / Wang, Han-Duo / Yin, Chuan-Hui / Wu, Jie / Huang, Mian-Bo / Li, Rong / Guan, Dao-Gang

Frontiers in cell and developmental biology

2023 Volume 10, Page(s) 1107236

Abstract: This corrects the article DOI: 10.3389/fcell.2022.753425.]. ...

Abstract	[This corrects the article DOI: 10.3389/fcell.2022.753425.].
Language	English
Publishing date	2023-01-20
Publishing country	Switzerland
Document type	Published Erratum
ZDB-ID	2737824-X
ISSN	2296-634X
ISSN	2296-634X
DOI	10.3389/fcell.2022.1107236
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Decoding the underlying mechanisms of Di-Tan-Decoction in treating intracerebral hemorrhage based on network pharmacology.

Zhen, Zheng / Xue, Dao-Jin / Chen, Yu-Peng / Li, Jia-Hui / Gao, Yao / Shen, You-Bi / Peng, Zi-Zhuang / Zhang, Nan / Wang, Ke-Xin / Guan, Dao-Gang / Huang, Tao

BMC complementary medicine and therapies

2023 Volume 23, Issue 1, Page(s) 44

Abstract: Background: Chinese medicine usually acts as "multi-ingredients, multi-targets and multi-pathways" on complex diseases, and these action modes reflect the coordination and integrity of the treatment process with traditional Chinese medicine (TCM). ... ...

Abstract	Background: Chinese medicine usually acts as "multi-ingredients, multi-targets and multi-pathways" on complex diseases, and these action modes reflect the coordination and integrity of the treatment process with traditional Chinese medicine (TCM). System pharmacology is developed based on the cross-disciplines of directional pharmacology, system biology, and mathematics, has the characteristics of integrity and synergy in the treatment process of TCM. Therefore, it is suitable for analyzing the key ingredients and mechanisms of TCM in treating complex diseases. Intracerebral Hemorrhage (ICH) is one of the leading causes of death in China, with the characteristics of high mortality and disability rate. Bring a significant burden on people and society. An increasing number of studies have shown that Chinese medicine prescriptions have good advantages in the treatment of ICH, and Ditan Decoction (DTT) is one of the commonly used prescriptions in the treatment of ICH. Modern pharmacological studies have shown that DTT may play a therapeutic role in treating ICH by inhibiting brain inflammation, abnormal oxidative stress reaction and reducing neurological damage, but the specific key ingredients and mechanism are still unclear. Methods: To solve this problem, we established PPI network based on the latest pathogenic gene data of ICH, and CT network based on ingredient and target data of DTT. Subsequently, we established optimization space based on PPI network and CT network, and constructed a new model for node importance calculation, and proposed a calculation method for PES score, thus calculating the functional core ingredients group (FCIG). These core functional groups may represent DTT therapy for ICH. Results: Based on the strategy, 44 ingredients were predicted as FCIG, results showed that 80.44% of the FCIG targets enriched pathways were coincided with the enriched pathways of pathogenic genes. Both the literature and molecular docking results confirm the therapeutic effect of FCIG on ICH via targeting MAPK signaling pathway and PI3K-Akt signaling pathway. Conclusions: The FCIG obtained by our network pharmacology method can represent the effect of DTT in treating ICH. These results confirmed that our strategy of active ingredient group optimization and the mechanism inference could provide methodological reference for optimization and secondary development of TCM.
MeSH term(s)	Humans ; Molecular Docking Simulation ; Network Pharmacology ; Phosphatidylinositol 3-Kinases ; Medicine, Chinese Traditional ; Cerebral Hemorrhage/drug therapy
Chemical Substances	Phosphatidylinositol 3-Kinases (EC 2.7.1.-)
Language	English
Publishing date	2023-02-10
Publishing country	England
Document type	Journal Article
ISSN	2662-7671
ISSN (online)	2662-7671
DOI	10.1186/s12906-022-03831-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: Multimodal User Authentication in Smart Environments

Aloba, Aishat / Morrison-Smith, Sarah / Richlen, Aaliyah / Suarez, Kimberly / Chen, Yu-Peng / Esmaeili, Shaghayegh / Woodard, Damon L. / Ruiz, Jaime / Anthony, Lisa

Survey of User Attitudes

2023

Abstract: As users shift from interacting actively with devices with screens to interacting seamlessly with smart environments, novel models of user authentication will be needed to maintain the security and privacy of user data. To understand users' attitudes ... ...

Abstract	As users shift from interacting actively with devices with screens to interacting seamlessly with smart environments, novel models of user authentication will be needed to maintain the security and privacy of user data. To understand users' attitudes toward new models of authentication (e.g., voice recognition), we surveyed 117 Amazon Turk workers and 43 computer science students about their authentication preferences, in contexts when others are present and different usability metrics. Our users placed less trust in natural authentication modalities (e.g., body gestures) than traditional modalities (e.g., passwords) due to concerns about accuracy or security. Users were also not as willing to use natural authentication modalities except in the presence of people they trust due to risk of exposure and feelings of awkwardness. We discuss the implications for designing natural multimodal authentication and explore the design space around users' current mental models for the future of secure and usable smart technology. Comment: 23 pages, 4 figures
Keywords	Computer Science - Human-Computer Interaction
Subject code	303
Publishing date	2023-05-05
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Decoding the underlying mechanisms of Di-Tan-Decoction in treating intracerebral hemorrhage based on network pharmacology

Zhen, Zheng / Xue, Dao-jin / Chen, Yu-peng / Li, Jia-hui / Gao, Yao / Shen, You-bi / Peng, Zi-zhuang / Zhang, Nan / Wang, Ke-xin / Guan, Dao-gang / Huang, Tao

BMC Complement Med Ther. 2023 Dec., v. 23, no. 1 p.44-44

2023

Abstract: BACKGROUND: Chinese medicine usually acts as "multi-ingredients, multi-targets and multi-pathways" on complex diseases, and these action modes reflect the coordination and integrity of the treatment process with traditional Chinese medicine (TCM). System ...

Abstract	BACKGROUND: Chinese medicine usually acts as "multi-ingredients, multi-targets and multi-pathways" on complex diseases, and these action modes reflect the coordination and integrity of the treatment process with traditional Chinese medicine (TCM). System pharmacology is developed based on the cross-disciplines of directional pharmacology, system biology, and mathematics, has the characteristics of integrity and synergy in the treatment process of TCM. Therefore, it is suitable for analyzing the key ingredients and mechanisms of TCM in treating complex diseases. Intracerebral Hemorrhage (ICH) is one of the leading causes of death in China, with the characteristics of high mortality and disability rate. Bring a significant burden on people and society. An increasing number of studies have shown that Chinese medicine prescriptions have good advantages in the treatment of ICH, and Ditan Decoction (DTT) is one of the commonly used prescriptions in the treatment of ICH. Modern pharmacological studies have shown that DTT may play a therapeutic role in treating ICH by inhibiting brain inflammation, abnormal oxidative stress reaction and reducing neurological damage, but the specific key ingredients and mechanism are still unclear. METHODS: To solve this problem, we established PPI network based on the latest pathogenic gene data of ICH, and CT network based on ingredient and target data of DTT. Subsequently, we established optimization space based on PPI network and CT network, and constructed a new model for node importance calculation, and proposed a calculation method for PES score, thus calculating the functional core ingredients group (FCIG). These core functional groups may represent DTT therapy for ICH. RESULTS: Based on the strategy, 44 ingredients were predicted as FCIG, results showed that 80.44% of the FCIG targets enriched pathways were coincided with the enriched pathways of pathogenic genes. Both the literature and molecular docking results confirm the therapeutic effect of FCIG on ICH via targeting MAPK signaling pathway and PI3K-Akt signaling pathway. CONCLUSIONS: The FCIG obtained by our network pharmacology method can represent the effect of DTT in treating ICH. These results confirmed that our strategy of active ingredient group optimization and the mechanism inference could provide methodological reference for optimization and secondary development of TCM.
Keywords	Oriental traditional medicine ; active ingredients ; complement ; death ; encephalitis ; genes ; hemorrhage ; mathematics ; models ; mortality ; oxidative stress ; people ; pharmacology ; society ; therapeutics ; China
Language	English
Dates of publication	2023-12
Size	p. 44.
Publishing place	BioMed Central
Document type	Article ; Online
ISSN	2662-7671
DOI	10.1186/s12906-022-03831-7
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A metabolic data-driven systems pharmacology strategy for decoding and validating the mechanism of Compound Kushen Injection against HCC.

Wang, Ke-Xin / Chen, Yu-Peng / Lu, Ai-Ping / Du, Guan-Hua / Qin, Xue-Mei / Guan, Dao-Gang / Gao, Li

Journal of ethnopharmacology

2021 Volume 274, Page(s) 114043

Abstract: Ethnopharmacological relevance: Compound Kushen Injection (CKI) is a widely used TCM formula for treatment of carcinomatous pain and tumors of digestive system including hepatocellular carcinoma (HCC). However, the potential mechanisms of CKI for ... ...

Abstract	Ethnopharmacological relevance: Compound Kushen Injection (CKI) is a widely used TCM formula for treatment of carcinomatous pain and tumors of digestive system including hepatocellular carcinoma (HCC). However, the potential mechanisms of CKI for treatment of HCC have not been systematically and deeply studied. Aim of study: A metabolic data-driven systems pharmacology approach was utilized to investigate the potential mechanisms of CKI for treatment of HCC. Materials and methods: Based on phenotypic data generated by metabolomics and genotypic data of drug targets, a propagation model based on Dijkstra program was proposed to decode the effective network of key genotype-phenotype of CKI in treating HCC. The pivotal pathway was predicted by target propagation mode of our proposed model, and was validated in SMMC-7721 cells and diethylnitrosamine-induced rats. Results: Metabolomics results indicated that 12 differential metabolites, and 5 metabolic pathways might be involved in the anti-HCC effect of CKI. A total of 86 metabolic related genes that affected by CKI were obtained. The results calculated by propagation model showed that 6475 shortest distance chains might be involved in the anti-HCC effect of CKI. According to the results of propagation mode, EGFR was identified as the core target of CKI for the anti-HCC effect. Finally, EGFR and its related pathway EGFR-STAT3 signaling pathway were validated in vivo and in vitro. Conclusion: The proposed method provides a methodological reference for explaining the underlying mechanism of TCM in treating HCC.
MeSH term(s)	Animals ; Antineoplastic Agents, Phytogenic/pharmacology ; Antineoplastic Agents, Phytogenic/therapeutic use ; Carcinoma, Hepatocellular/drug therapy ; Carcinoma, Hepatocellular/genetics ; Carcinoma, Hepatocellular/metabolism ; Cell Line, Tumor ; Drugs, Chinese Herbal/pharmacology ; Drugs, Chinese Herbal/therapeutic use ; ErbB Receptors/metabolism ; Genotype ; Humans ; Injections ; Liver Neoplasms/drug therapy ; Liver Neoplasms/genetics ; Liver Neoplasms/metabolism ; Male ; Metabolic Networks and Pathways/drug effects ; Metabolomics ; Pharmacology/methods ; Phenotype ; Rats, Sprague-Dawley ; STAT3 Transcription Factor/metabolism ; Systems Biology ; Rats
Chemical Substances	Antineoplastic Agents, Phytogenic ; Drugs, Chinese Herbal ; STAT3 Transcription Factor ; ErbB Receptors (EC 2.7.10.1) ; kushen (IYR6K8KQ5K)
Language	English
Publishing date	2021-03-20
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	134511-4
ISSN	1872-7573 ; 0378-8741
ISSN (online)	1872-7573
ISSN	0378-8741
DOI	10.1016/j.jep.2021.114043
Database	MEDical Literature Analysis and Retrieval System OnLINE

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