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152. Additional file 10 of Single-cell analysis reveals HBV-specific PD-1+CD8+ TRM cells in tumor borders are associated with HBV-related hepatic damage and fibrosis in HCC patients

Author

Liu, Lulu, Liu, Junwei, Li, Pan, Luo, Jijun, Qin, Rui, Peng, Qiao, Li, Bin, Wei, Xuyong, Wang, Tian, Shi, Hongyu, Wang, Ming-Da, Li, Chao, Fang, Weijia, Chen, Wei, Xu, Xiao, Yang, Tian, Yin, Weiwei, and Zeng, Xun

Abstract

Additional file 10: FigureS3.Correlation of HBV clinical features with immune features. (A) Comparisons ofthe frequencies of major immune subsets across HBV infection and HCC tissues.(B and C) Comparisons of the frequencies of selected meta-clusters between HBV+and HBV- samples in INT (B) and TB (C) tissues. (D) The heatmap of the Spearmancorrelation coefficients between HBV clinical features and immune features inTB tissues, colored by correlation coefficients and for pairs with p-value morethan 0.1 were set to zero. E, The correlation plots between selected HBVclinical features and immune features as in (D). Two-way ANOVA test was used in(A), with *p < 0.05, **p < 0.01, and ***p < 0.001.

Published
2023
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153. Additional file 8 of Single-cell analysis reveals HBV-specific PD-1+CD8+ TRM cells in tumor borders are associated with HBV-related hepatic damage and fibrosis in HCC patients

Author

Liu, Lulu, Liu, Junwei, Li, Pan, Luo, Jijun, Qin, Rui, Peng, Qiao, Li, Bin, Wei, Xuyong, Wang, Tian, Shi, Hongyu, Wang, Ming-Da, Li, Chao, Fang, Weijia, Chen, Wei, Xu, Xiao, Yang, Tian, Yin, Weiwei, and Zeng, Xun

Abstract

Additional file 8: FigureS1.CyTOF data analyses of immune cells from HCC and HH tissues.(A) Thegating strategy of CyTOF data for live and singleton immune cells. (B) The tSNEplots of selected markers as in (Figure 1B). (C) The heatmap of 100 SOMsubclusters, major immune cell subtypes, and cluster frequencies were labeledon the top.

Published
2023
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154. Additional file 9 of Single-cell analysis reveals HBV-specific PD-1+CD8+ TRM cells in tumor borders are associated with HBV-related hepatic damage and fibrosis in HCC patients

Author

Liu, Lulu, Liu, Junwei, Li, Pan, Luo, Jijun, Qin, Rui, Peng, Qiao, Li, Bin, Wei, Xuyong, Wang, Tian, Shi, Hongyu, Wang, Ming-Da, Li, Chao, Fang, Weijia, Chen, Wei, Xu, Xiao, Yang, Tian, Yin, Weiwei, and Zeng, Xun

Abstract

Additional file 9: FigureS2. The clinical-related immunealterations in TB tissues. (A) Comparisons of the frequencies of selectedmeta-clusters between INT and TB tissues. (B) The heatmap of the comparisons ofmeta-cluster frequencies across patients grouped by defined clinical featuresin TB tissues, colored by the signed -log10(p-value). (C)Comparisons of the meta-cluster frequencies in TB tissues between early-stageand advanced-stage patients classified as in (B). Unpaired student’s t-test wasused in (A-C), with *p < 0.05, **p < 0.01, and ***p < 0.001.

Published
2023
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156. Graphene-based tunable coding metasurfaces in terahertz band

Author

Feng Jialin, Shi Hongyu, Zhang Anxue, and Xu Zhuo

Subjects
coding metasurfaces, graphene-based tunable, beam-steering, terahertz, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Physics, QC1-999
Abstract

Two graphene-based tunable coding metasurfaces are proposed for beam steering in terahertz band. The coding metasurfaces are composed of the unit cell with a sandwich-like structure, which contains the top layer of anisotropic rectangular graphene structure, intermediate dielectric layer and ground plane. The designed metasurfaces can be dynamically adjusted since the characteristics of unit cell are changed by the chemical potential of graphene. When the relaxation time and chemical potential of graphene are 0.8 ps and 0.85 eV, respectively. The coding metasurfaces could realize beam steering in 1.30 THz-1.70 THz. On the other hand, when the chemical potential of graphene is 0 eV, two metasurfaces without beam steering in this band. The designed graphene-based tunable coding metasurfaces has potential application value in the fields of terahertz communication, sensing, etc.

Published
2020
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157. Strip Steel Defect Classification Using the Improved GAN and EfficientNet

Author

Xizhi Wang, Xu Wang, Chang Jiang, Xiao Xu, Shi Hongyu, Li Zhenhao, and Guan Shengqi

Subjects
Focus (computing), Strip steel, Artificial Intelligence, Computer science, Feature extraction, Electronic engineering, Field conditions
Abstract

In recent years, deep-learning detection algorithms based on automatic feature extraction have become the focus of defect detection. However, limited by industrial field conditions, the insufficien...

Published
2021

166. Abstract PR012: Targeted sequencing of 2,138 bone and soft tissue sarcomas reveals commonly altered pathways, subtype-independent genetic clusters, and potential therapeutic targets

Author

Nacev, Benjamin A., primary, Sanchez-Vega, Francisco, additional, Smith, Shaleigh, additional, Antonescu, Cristina, additional, Rosenbaum, Evan, additional, Shi, Hongyu, additional, Tang, Cerise, additional, Socci, Nicholas, additional, Rana, Satshil, additional, Gularte-Merida, Rodrigo, additional, Zehir, Ahmet, additional, Gounder, Mrinal, additional, Bowler, Timothy, additional, Luthra, Anisha, additional, Jadeja, Bhumika, additional, Okada, Azusa, additional, Strong, Jonathan, additional, Stoller, Jake, additional, Chan, Jason, additional, Chi, Ping, additional, D'Angelo, Sandra, additional, Dickson, Mark, additional, Kelly, Ciara, additional, Keohan, Mary Louise, additional, Movva, Sujana, additional, Thornton, Katherine, additional, Meyers, Paul, additional, Wexler, Leonard, additional, Slotkin, Emily, additional, Bender, Julia Glade, additional, Shukla, Neerav, additional, Hensley, Martee, additional, Healey, John, additional, La Quaglia, Michael, additional, Alektiar, Kaled, additional, Crago, Aimee, additional, Yoon, Sam, additional, Untch, Brian, additional, Chiang, Sarah, additional, Agaram, Narasimhan, additional, Hameed, Meera, additional, Berger, Michael, additional, Solit, David, additional, Schultz, Nikolaus, additional, Ladanyi, Marc, additional, Singer, Samuel, additional, and Tap, William, additional

Published
2022
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170. The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review

Author

XU, Linqi, Shi, Hongyu, Shen, Meidi, Ni, Yuanyuan, XIN, Zhang, Pang, Yue, Yu, Tianzhuo, Lian, Xiaoqian, Yu , Tianyue, Yang, Xige, Li , Feng, Xu, Linqi/0000-0002-4346-0547, Pang, Yue/0000-0001-9052-7997, XU, Linqi, Shi, Hongyu, Shen, Meidi, Ni, Yuanyuan, XIN, Zhang, Pang, Yue, Yu, Tianzhuo, Lian, Xiaoqian, Yu , Tianyue, Yang, Xige, and Li , Feng

Subjects
mobile phone, systematic review, physical activity, gamification, mobile health
Abstract

Background: It is well known that regular physical exercise has associated benefits; yet, participation remains suboptimal. Mobile health (mHealth) has become an indispensable medium to deliver behavior change interventions, and there is a growing interest in the gamification apps in mHealth to promote physical activity (PA) participation. Gamification could use game design elements (such as points, leaderboards, and progress bars), and it has the potential to increase motivation for PA and engagement. However, mHealth-based gamification interventions are still emerging, and little is known about the application status and efficacy of such interventions. Objective: This systematic review aims to investigate gamification apps in mHealth for improving PA levels and simultaneously summarize the impact of gamification interventions on PA participation. Methods: We searched PubMed, Scopus, Web of Science, Embase, CINAHL (EBSCO host), and IEEE Xplore from inception to December 20, 2020. Original empirical research exploring the effects of gamification interventions on PA participation was included. The papers described at least one outcome regarding exercise or PA participation, which could be subjective self-report or objective indicator measurement. Of note, we excluded studies about serious games or full-fledged games. Results: Of 2944 studies identified from the database search, 50 (1.69%) were included, and the information was synthesized. The review revealed that gamification of PA had been applied to various population groups and broadly distributed among young people but less distributed among older adults and patients with a disease. Most of the studies (30/50, 60%) combined gamification with wearable devices to improve PA behavior change, and 50% (25/50) of the studies used theories or principles for designing gamified PA interventions. The most frequently used game elements were goal-setting, followed by progress bars, rewards, points, and feedback. This review demonstrated that gamification interventions could increase PA participation; however, the results were mixed, and modest changes were attained, which could be attributed to the heterogeneity across studies. Conclusions: Overall, this study provides an overview of the existing empirical research in PA gamification interventions and provides evidence for the efficacy of gamification in enhancing PA participation. High-quality empirical studies are needed in the future to assess the efficacy of a combination of gamification and wearable activity devices to promote PA, and further exploration is needed to investigate the optimal implementation of these features of game elements and theories to enhance PA participation.

Published
2022

171. BFGSDP: Bloom Filter Guided Service Discovery Protocol for MANETs

Author

Gao, Zhenguo, Li, Xiang, Wang, Ling, Zhao, Jing, Zhao, Yunlong, Shi, Hongyu, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Mason, Lorne, editor, Drwiega, Tadeusz, editor, and Yan, James, editor

Published
2007
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172. Study on optimization of parameters of PtIr high-temperature alloy by WEDM wire-cutting process.

Author

SHI Hongyu, CHEN Nanguang, YANG Runlin, and ZHOU Dong

Subjects
SURFACE roughness, ALLOYS, WIRE, MACHINING, MOLYBDENUM, SUPERCONDUCTING wire
Abstract

In order to improve the surface quality and reduce the edge burrs, the effects of current, pulse width and pulse spacing on the machining effect of PtIr alloy WIM were studied. The results show that the machining parameters have an important effect on the surface roughness and edge burr of the material. The machining parameters of wire electrical discharge machining(WEDM) were optimized, the current was 5 A, the pulse width was 5 µs, the pulse distance was 5 µs, the machining speed was 150 steps/S, the diameter of molybdenum wire was 0.1 mm, the surface roughness Ra was 0.14 µm, and the cutting precision tolerance reached ±0.006 mm. [ABSTRACT FROM AUTHOR]

Published
2023

173. Single-cell analysis reveals HBV-specific PD-1+CD8+ TRM cells in tumor borders are associated with HBV-related hepatic damage and fibrosis in HCC patients.

Author

Liu, Lulu, Liu, Junwei, Li, Pan, Luo, Jijun, Qin, Rui, Peng, Qiao, Li, Bin, Wei, Xuyong, Wang, Tian, Shi, Hongyu, Wang, Ming-Da, Li, Chao, Fang, Weijia, Chen, Wei, Xu, Xiao, Yang, Tian, Yin, Weiwei, and Zeng, Xun

Subjects
HEPATIC fibrosis, HEPATITIS B, HEPATITIS B virus, T cells, IMMUNE checkpoint proteins
Abstract

Immune checkpoint blockade (ICB) treatment of hepatocellular carcinoma (HCC) patients with hepatitis B virus (HBV) infection may activate viral-specific T cells to attack HBV infected hepatocytes and thus induce immune-related liver injury. Therefore, it is important to deeply understand the impacts of HBV infection on HCC immune microenvironment in order to better design effective immunotherapies for HBV+ (HBV infected) HCC patients. Here, We performed cytometry by time-of-flight (CyTOF) analyses to characterize the distinct immune compositions of HCC tumors, tumor borders, and their associations with HCC/HBV related clinical characteristics. We identified 31 distinct immune clusters and found significant associations between immune signatures with clinicopathological features of HCC. We further revealed the HBV infection had more effects on shaping immune compositions in tumor borders than in tumors, with the significant enrichment of HBV-specific PD-1+CD8+ tissue-resident memory T (TRM) cells in tumor borders of HBV+ patients. We confirmed this subset with a more exhausted phenotype and respond more actively under anti-PD-L1 treatment, suggesting its involvement in immune-related liver injury induced by ICB treatment to HBV+ HCC patients. Our study shows it may be necessary to consider antiviral prophylaxis for HBV+ HCC patients receiving ICB treatment. [ABSTRACT FROM AUTHOR]

Published
2023
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175. Vision Image Monitoring on Transportation Infrastructures: A Lightweight Transfer Learning Approach

Author

Hou, Yue, Shi, Hongyu, Chen, Ning, Liu, Zhuo, Wei, Han, and Han, Qiang

Abstract

Vision monitoring of distress has emerged as a new trend in intelligent transportation infrastructure systems, including roads and bridges. Recently, transfer learning methods and lightweight networks have been used to realize efficient distress identification without large amount of human-labor work. This paper proposed an engineering approach that integrated transfer learning with lightweight models to classify and detect concrete bridge distresses. Two datasets named Distress Dataset of Asphalt Pavement (DDAP) with 2500 asphalt pavement distresses images and Distress Dataset of Concrete Bridge (DDCB) with 906 concrete bridge distresses images were used. The lightweight models MobileNet and MobileNet-SSD were employed to conduct 6 comparative experiments for exploring the model performance with different transfer learning modes (Mode I and II) and procedures (one-step and two-step procedure) in classification and detection tasks. Based on the comparison of the results, the optimum model for two tasks was respectively recognized. For classification task, the model directly transferred specific parameters of partial convolution layers from ImageNet-based model achieved the highest accuracy of 97.8%. For detection task, the two-step transfer learning model using an intermediate transfer learning step trained by DDAP reached a mean average precision of 87.16%. The proposed approach has the application potential for practical road inspection work in intelligent transportation infrastructure maintenance.

Published
2023
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196. Elabela alleviates ferroptosis, myocardial remodeling, fibrosis and heart dysfunction in hypertensive mice by modulating the IL-6/STAT3/GPX4 signaling

Author

Zhang, Zhenzhou, primary, Tang, Jianqiong, additional, Song, Jiawei, additional, Xie, Mengshi, additional, Liu, Ying, additional, Dong, Zhaojie, additional, Liu, Xiaoyan, additional, Li, Xueting, additional, Zhang, Miwen, additional, Chen, Yihang, additional, Shi, Hongyu, additional, and Zhong, Jiuchang, additional

Published
2022
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198. Generation of a microwave beam with both orbital and spin angular momenta using a transparent metasurface.

Author

Shi, Hongyu, Wang, Luyi, Chen, Xiaoming, Zhang, Anxue, and Xu, Zhuo

Subjects
*ANGULAR momentum (Mechanics), *MICROWAVE generation, *UNIT cell, *OPTICAL vortices
Abstract

In this paper, transparent metasurfaces generating microwave beams with both orbital angular momentum (OAM) and spin angular momentum (SAM) are proposed. A multilayered metasurface unit cell was designed for simultaneously manipulating the transmission phase and polarization state of a linearly polarized incident wave around 4.6 GHz. Using such unit cell design, the proposed metasurfaces can introduce additional SAM and OAM to the transmitted wave by linear-to-circular polarization conversion and vortex transmission phase distributions. The simulation and measurement results are in good agreement with each other and demonstrate the generation of microwave beams with both OAM and SAM. [ABSTRACT FROM AUTHOR]

Published
2019
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199. Wideband and low-profile transmitarray antenna using transmissive metasurface.

Author

Xu, Zhuo, Xia, Song, Liu, Yajun, Zhang, Anxue, and Shi, Hongyu

Subjects
ULTRA-wideband radar, BANDWIDTHS, METAMATERIALS, ANTENNAS (Electronics), APERTURE antennas, CIRCULAR polarization
Abstract

Based on the Pancharatnam-Berry phase principle, a wideband low-profile transmissive metasurface was designed and applied to a transmitarray antenna (TA). While a full transmission phase range of 360° was achieved by rotating the proposed unit cell, the transmission coefficient was always close to 1 in the frequency range of 10.4–11.6 GHz. Hence, a TA comprised of 20 × 20 unit cells of size 180 mm × 180 mm was designed and fabricated. The simulated results agreed well with the experimental data, validating the excellent performance of the proposed metasurface structure. The measured peak gain of the TA was 21.64 dB at 11 GHz, resulting in an aperture efficiency of 34%. In addition, we attained a 12% 1-dB gain bandwidth (10.2–11.5 GHz) and an 18% 3-dB axial ratio bandwidth (10–12 GHz) for the TA. The proposed metasurface exhibits distinct performance benefits in terms of having wide bandwidth, low-profile, and high-efficiency, as well as represents a promising design option for a high-performance TA. [ABSTRACT FROM AUTHOR]

Published
2019
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